Abstract
Planning for spinal procedures has been utilized throughout history. The first planned and documented fusion surgery was noted by Dr. Fred Albee in 1911, when he reported a tibial bone graft transplantation into the spine to treat Pott’s disease [1]. Decades later, Dr. Francis Denis proposed the three-column theory of spinal stability [2], which led to a better understanding for the anatomical implications of osteotomies. Today, studies continue to reveal the superiority of surgical treatment for spinal deformities [3–7], and the reliability of osteotomies in the setting of rigid coronal and sagittal deformities [8–10]. The widespread use of osteotomies is evident in the statistics from the Agency for Healthcare Research and Quality (AHRQ), which showed a significant increase in the number of patients discharged with osteotomies and fusions within the most recent 14 years of available data in the USA [11, 12].
Access provided by Autonomous University of Puebla. Download chapter PDF
Similar content being viewed by others
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
2.1 Introduction
Planning for spinal procedures has been utilized throughout history. The first planned and documented fusion surgery was noted by Dr. Fred Albee in 1911, when he reported a tibial bone graft transplantation into the spine to treat Pott’s disease [1]. Decades later, Dr. Francis Denis proposed the three-column theory of spinal stability [2], which led to a better understanding for the anatomical implications of osteotomies. Today, studies continue to reveal the superiority of surgical treatment for spinal deformities [3–7], and the reliability of osteotomies in the setting of rigid coronal and sagittal deformities [8–10]. The widespread use of osteotomies is evident in the statistics from the Agency for Healthcare Research and Quality (AHRQ), which showed a significant increase in the number of patients discharged with osteotomies and fusions within the most recent 14 years of available data in the USA [11].
Unfortunately, osteotomies are accompanied with a high rate of revision surgery; anywhere from 3.8 to 27.8 % of them have been reported to be caused by mechanical reasons such as implant failure, pseudoarthrosis, junctional failure, and loss of correction [12]. Furthermore, surgery is frequently the last resort for patients with spinal disease, and patients often have high expectations of their surgical outcomes [13]. Patients look at surgery as a way to assuage their pain and disability, and also potentially as a permanent cure which will elevate their quality of life and enhance their productivity.
If a gap between surgical outcomes and expectations exists, disappointment can potentially ensue. To narrow this gap, clinical and radiographic evaluation is crucial, and should be on the top of the spinal deformity treatment checklist to set realistic expectations and optimize surgical outcomes.
2.2 Clinical Evaluation
The clinical evaluation of a patient with sagittal deformity who may benefit from spinal osteotomy starts with a systematic history and physical exam. Through a patient’s history, a surgeon can delineate the overall natural course of disease and identify the etiology be it degenerative, progressive idiopathic scoliosis, iatrogenic, congenital anomalies, or neuromuscular conditions [14]. The history also allows the patient to express concerns so that both the patient and physician can jointly establish reasonable expectations, which is key in achieving successful surgical outcomes [15–17]. In addition, it is important to document other health conditions, prior spinal surgeries, and psychosocial issues all which must be considered and carefully weighed for the risks and benefits of surgery.
A baseline picture of the surgical candidate can be quantitatively assessed with validated patient reported outcomes such as the disease-specific Scoliosis Research Society questionnaire (SRS-22), the region-specific Oswestry Disability Index (ODI), and the general medical outcomes Short Form 36 questionnaire (SF-36) [18–23]. Such a thorough assessment and documentation of a patient’s pain and disability is best achieved with these health-related quality of life questionnaires (HRQOLs). These are a subjective measure of a patient’s symptomatology and can be tracked across office visits like vital signs, giving the surgeon a quantitative trend of how the patient is improving, deteriorating, or maintaining in response to management. Pain scales and questionnaires have been correlated with coronal and sagittal radiographic parameters [24–31] and form part of the evidenced-based reasoning for the application of spinal osteotomies [32].
Another important part of the history is to ascertain a patient’s use of nonoperative management. Usually, by the time patients are referred to a spine surgeon, they are sufficiently symptomatic to warrant treatment. In general, nonoperative treatment targets the symptom of pain. A patient with a history of muscle fatigue and strain may have used nonnarcotic analgesics and NSAIDs, or in more severe cases, narcotics [4, 33]. These are also not without side effects, as these medicines can cause sedation, gastrointestinal upset, addition, or irreversible chronic pain syndrome [4, 33]. Other medications, such as tricyclic antidepressants and gabapentin, can help with neurogenic pain and are especially helpful in elderly patients [27, 34]. Patients often also incorporate other methods of dealing with their symptoms such as physical therapy, chiropractic manipulation, and yoga, but the long-term efficacy of these options is not well supported by the literature. Ultimately, it is important to determine what kinds of nonoperative treatments a patient has received or sought out to best design a plan for surgery.
Finally, the physical exam should be a global assessment of the patient’s deformity in a standing, sitting, and supine posture [14]. A general neurological examination of the motor strength, sensation, reflexes, and gait are also critical to judge functional impairment or point toward signs of myelopathy, which are suggestive of severe thoracic or concomitant cervical disease. Particular attention must be paid toward the hip [31], and any pelvic retroversion, hip extension, or flexion contractures should be noted. In addition, the compensatory role of the lower extremities is important to notice, with knee flexion employed as a way to maintain the body’s center of mass over the bicoxofemoral axis [35, 36]. Current research into the nuances of lower extremity compensation is still being elucidated.
2.3 Radiographic Evaluation
Radiographs are critical part of the current evaluation and management of spinal deformity, with full 36″ anteroposterior (AP) and lateral views being crucial for a full imaging evaluation of these patients. Regarding patient positioning, Horton et al. reported the free-standing subject with clavicle position (elbows flexed with the hands in a relaxed fist, wrists flexed, and hands centered in each supraclavicular fossae) as superior visualization compared to other positions [37].
A newer form of radiography, the EOS machine, has been recently introduced into the medical field. EOS is a biplanar, orthogonal, full-body, low-dose X-ray [38]. Images are obtained in a standing, weight-bearing position in a very timely manner, relative to MRI and CT scans [39–41]. The EOS system provides a head-to-toe evaluation, giving a full image of the patient’s deformity and unmasking all the compensatory mechanisms used to maintain an erect aligned position as noted in the clinical evaluation.
Although spinal deformity is reasonably common, the complexity and uniqueness of a patient’s specific deformity necessitates an accurate assessment of each individual case. To establish a better understanding for this diverse clinical entity, identification of radiographic spinopelvic measurements is an absolute necessity to develop a solid understanding of the pathological process and formulate an effective treatment strategy. Although at first glance this may seem to be an arduous task, use of standardized radiographic techniques is an accurate and efficient method of analysis. Communication between health care providers will only be possible with a common language which accurately describes coronal and sagittal alignment for adult spinal pathologies.
2.3.1 Coronal Plane Analysis
Frontal radiographs should be oriented with a posterior–anterior view (right side of patient on rights side of displayed image) as though viewing the patient’s spine in surgery. This allows assessment of coronal global alignment, endplate obliquity, and lateral olisthesis, frontal parameters which are correlated with HRQOLs.
Coronal decompensation can be measured by the distance from the C7 plumb line (C7PL) to the central sacral vertical line (CSVL); if the malalignment is to the right, the distance is considered positive, if to the left, negative [14]. Poor coronal alignment, especially over 4 cm, has been correlated with poor function and increased disability [25].
Assessment of the apex of the deformity using Cobb angles involves classifying the region of the scoliosis. An apex at T9 or higher is a thoracic curve and an apex at T10 or lower is a lumbar or thoracolumbar curve [42], and curves can either be structural or flexible. The larger curve is usually the primary deformity and the smaller curve is often compensatory. An apex in the thoracolumbar region has been associated with worse pain and function than curves in the thoracic spine [25].
On a closer radiographic analysis, L2 or L3 endplate obliquity, which is the angle between the superior endplate and the horizontal, is also an important radiographic parameter to note, as it has been correlated to pain scores [30].
Finally, olisthesis, measured from the horizontal offset between adjacent vertebrae, is the final focal parameter in the frontal plane which also correlates to pain scores [30].
In pediatrics, the Lenke Classification system for adolescent idiopathic scoliosis (Fig. 2.1) has been the universally accepted scheme which characterizes the frontal plane in a way that allows comparisons of different operative treatments [43–46].
2.3.2 Sagittal Plane Analysis
Pure coronal deformities in adults are rare necessitating the need to evaluate pathological sagittal curvatures [47]. In the past, several efforts have been made to understand the sagittal plane [48–55], most of which dismissed the fundamental role of the pelvis in the complexity of the human standing and sagittal spinal alignment. Sagittal alignment involves an evaluation of pelvic parameters, regional curvatures, global alignment, and lower limbs (Fig. 2.2).
2.3.2.1 Pelvic Parameters
The importance of the relationship between the pelvis and spine was proposed by Duval-Beapere [56, 57] and supported thereafter by numerous studies. Three pelvic parameters (Fig. 2.2) have been described in literature: Pelvic incidence, a fixed morphological parameter, sacral slope, and pelvic tilt. There is a geometric relationship between the three components of the pelvic: “PI = PT + SS”.
2.3.2.1.1 Pelvic Incidence (PI)
The PI is the angle between the perpendicular to the sacral plate at its midpoint and the line connecting this point to the middle axis of the femoral heads [57]. This fixed morphological parameter is specific to each individual and independent of the spatial orientation of the pelvis (i.e., the pelvic retroversion). Nevertheless, the pelvic shape changes from fetus to neonate [58] and again from neonate to adult [59], then stabilizing during adulthood [60].
2.3.2.1.2 Sacral Slope (SS) and Pelvic Tilt (PT)
Spinopelvic radiographic parameters have also been developed to assess the spatial orientation of the pelvis. The sagittal inclination of the sacral plateau, the SS, is quantified by the angle between the upper plate of S1 and the horizontal line. The magnitude of SS helps evaluate the orientation of the pelvis.
Pelvic Tilt (PT) provides information regarding pelvic orientation, and represents the angle between the line connecting the midpoint of the sacral plate to the femoral heads axis and the vertical. PT is a positional parameter and quantifies the amount of pelvic compensation. PT reflects the pelvic rotation around the femoral axis to maintain an upright posture (pelvic version). Lafage et al. [31] established the relationship between pelvic retroversion and clinical outcomes, asserting that the ability of a patient to compensate for a spinal deformity via an increase of pelvic retroversion is important in clinical evaluation. Underestimating the pelvis can lead to misjudgment related to the magnitude of malalignment. The spine which sits over a compensated pelvis is a malaligned spine.
Having outlined pelvic parameters, a review of the radiographic evaluation continues with the spinal curvatures, which have a significant chain of interdependence starting with the pelvis [57].
2.3.2.2 Regional Parameters
At birth, the entire spine is straight, or may even show a slight anterior concavity from occiput to the sacrum [61]. With growth and maturity, lumbar Lordosis, thoracic kyphosis, and cervical lordosis develop. This leads to the S-shape of the hominoid spine.
2.3.2.2.1 Lumbar Lordosis (LL)
LL is a well-known parameter measured using the Cobb angle between the upper endplate of L1 and the upper endplate of S1. This curve is well correlated with the pelvic morphology (PI) [56, 57, 62] such that PI and LL should be within 10° of each other. Consequently there are variations of normal LL [63].
Upright standing posture and bipedal gait are possible by both hip extension and LL [64]. These compensations deteriorate in flat back syndrome [65–67] and aging [68]. When LL (especially the more distal segment) goes out of sync with the other spinopelvic features, sagittal malalignment occurs, and leads to a forward shift of the head far from the axis of pelvis. This loss of LL is highly correlated with the severity of pain assessed by Visual Analog Scale (VAS) [30] and other HRQOLs [24, 26, 69].
Lack of LL can be a key deformity driver, in which case surgical intervention should be directed toward realigning this region. LL is also a radiographic parameter over which the spine surgeon has direct intraoperative control. Therefore, evaluating and measuring LL accurately helps clarify a controllable and modifiable part of spinal deformity, and as a result, the amount of correction needed.
2.3.2.2.2 Thoracic Kyphosis (TK)
TK is most commonly the angle between the upper endplate of T4 to the lower endplate of T12, though the upper and lower vertebrae can be selected differently depending on the apex of the thoracic curve. About hundred years ago, Scheuermann [70] defined juvenile kyphosis as “kyphosis greater than normal.” Normal ranges of LL and TK, which have been described by many authors [63, 71, 72], are more suggestive and not necessarily target values. As mentioned earlier, there is variation in sagittal morphotype of spinopelvic alignment, and the purpose of measuring spinopelvic parameters is to define the deformity by component parts, and not necessarily to be tied simply to normative values.
In certain circumstances, such as young patients with a more flexible spine, reduction of TK is a response to the flat or kyphotic lumbar spine [73]. Conversely, in the aging spine, hyperkyphosis may ensure possibly due to muscular weakening, disc related and osteopenic changes.
The thoracic spine, such as the pelvis, also compensates and has reciprocal changes. The latter refers to spontaneous change in alignment following lumbar realignment. In some cases, marked increase in thoracic kyphosis can occur in unfused segments after spinal osteotomies in the lumbar spinal [74–77]. These reciprocal changes are still poorly understood and should be carefully anticipated, especially prior to lumbar spinal osteotomies.
2.3.2.3 Global Parameters
Global alignment can be understood by Dubousset’s “Cone of Economy” concept. This cone (projected upward from a circle around the feet) is the cone within which the body can remain aligned while using minimal effort. The aligned individual maintains a center of mass within a narrow range of sway in relation to the feet [78]. Even mild positive sagittal malalignment is somewhat detrimental [26]. Severity of clinical symptoms, quality of life, and disability correlate in a linear fashion with the progressive anterior translation of the head far from the pelvis and is quantified by sagittal vertical axis (SVA).
SVA is defined as the horizontal offset from a plumb line dropped from the center of C7 vertebral body to the posterosuperior corner of the sacral plate (S1) [79]. SVA gives a well-mannered idea about the general alignment of the trunk. SVA is highly sensitive to loss of LL, and well correlated with HRQOLs [25, 68].
However, SVA can be masked by pelvic version when the pelvis rotates posteriorly (retroversion) around the femoral axis to compensate for a forward leaning posture. Also, as a linear measurement, it requires calibration of the radiograph. Protopsaltis et al. [80, 81] proposed the T1 pelvic angle (TPA) as a novel radiographic measure of sagittal alignment which eliminates the need for calibration. TPA is the angle between a line from the center of T1 vertebral body to the femoral heads and a line from the femoral heads to the center of the S1 endplate. TPA is less dependent on postural factors, accounts for both spinal alignment and pelvic retroversion (in standing) and correlates similarly to other key parameters with HRQOLs in patients with adult spinal deformity (ASD).
Normative values, which change with age, for spinopelvic radiographic analysis are in Table 2.1 [59, 63].
2.3.2.4 Lower Limb Assessment
Since the femoral heads are highly mobile, they play an important role in the spatial orientation of the pelvic vertebra. They constitute the point at which the load from the spinal curvatures on the pelvis is transferred to the lower limbs [82].
When sagittal malalignment takes place, patients recruit compensatory mechanisms to maintain an erect posture and horizontal gaze. As previously mentioned, the thoracic spine contributes to this compensation, but is limited by the musculature of the back. The pelvis plays the role of equalizer in sagittal malalignment, and shifts posteriorly toward the heels [78, 83]. Knee flexion (measured by Knee angle, KA) is an angle made by the femoral mechanical axis and the tibial axis (Fig. 2.2) and assesses lower limb compensation. Obeid et al. [36] were the first to investigate the relationship between the deformity driver (loss of LL) and knee flexion.
More recently, Lafage et al. studied these compensatory mechanisms, and their contribution to alignment [84]. Findings assured that PT is the main contributor to the chain of compensation, but as deformity progresses, pelvic compensation becomes exhausted. Once retroversion is at its maximum, compensation transfers to knee flexion.
It has become evident that alignment and stability run from ground up to the head. In the middle of this, there is the pelvic equalizer [57]. In malalignment cases, spinal curvatures load pass through the pelvis to be neutralized during standing or movement. A thorough understanding of pelvic morphology, compensation, and shift helps to form part of the larger deformity assessment. Lower limb evaluation will complete the full-body alignment and compensation picture.
2.3.3 Alignment Objectives
Optimal alignment of the spine and its position in relation to the pelvis and lower extremities has marked clinical implications. Starting from the trigonometric relationship between the three components of the pelvis: PI = SS + PT, and the correlation between SS and LL [56, 85], Schwab et al. [28] proposed a simple and clinically relevant formula to define the spinopelvic relationship. This formula limits the mismatch between PI and LL to ±9°. More recently, Schwab et al. modified this formula to consider both PI and TK: LL = (PI + TK)/2 + 10, which accounts for abnormal thoracic kyphosis [86].
The Scoliosis Research Society (SRS)-Schwab classification for ASD (Fig. 2.3) was developed based on the literature studies on normative values for PT [63] and SVA [79]. This classification also incorporates the latest research on alignment and correlations between radiographic parameters and clinical outcomes such as the Oswestry Disability Index (ODI), Short Form 36 (SF-36), and SRS-22 [42]. This classification scheme has excellent intraobserver and interobserver reliability as well as clinically relevant by its correlations to HRQOL instruments. Changes in classification category through surgery can impact HRQOLs. Smith et al. showed that patients who improved in SRS-Schwab sagittal modifiers (PT, SVA, or PI-LL) were more likely to reach a clinically noticeable difference in HRQOLs (ODI, SF-36, or SRS activity and pain) [87]. Classifying the deformity reflects the status of malalignment severity; the SRS-Schwab classification impacts the decision to pursue operative or nonoperative treatment, with operative patients having worse sagittal modifiers [69].
There have been many mathematical models and formulas that attempt to predict postoperative sagittal alignment. Smith et al. [88] evaluated 5 predictive models for predicting postoperative global alignment after osteotomies and demonstrated that the Lafage formulas, developed from a multivariate linear regression of 219 adult patients treated for spinal deformity, showed the greatest accuracy in predicting postoperative SVA [89]. Such formulas are essential in spinal reconstruction and can be another tool to use during preoperative planning for spinal osteotomies [11].
2.4 Simulation and Root Cause Analysis
Preoperative planning is an important part of surgical practice. Dedicated surgical planning software has been used across numerous subspecialty fields in orthopedics and neurosurgery and has emerged for preoperative spinal deformity correction [90, 91].
Using a single three-column osteotomy or multiple facetectomies, surgeons can directly control the amount of LL attained intraoperatively. One of the ways a surgeon can start to ensure ideal postoperative outcomes is to anticipate how the osteotomy may affect the overall postoperative global alignment. While there are numerous ways to plan, including the use of trigonometric formulas and radiographic cutouts, these techniques tend to be either limited in visual representation or cumbersome [82, 91, 92]. The advantages of surgical planning software is that it allows osteotomy simulation so that a surgeon can get an idea of how much LL they need to achieve intraoperatively to attain satisfactory SVA and PT.
Asymmetric osteotomies in the coronal plane can also be simulated. Depending on the software, these osteotomy simulations can incorporate evidence-based formulas, so that the planning is not only visually understandable (and can supplement preoperative counseling in the clinic to show patients what their surgery is actually trying to accomplish) but also scientifically sound. These planning tools can also be great teaching tools for residents and fellows and also establish a tone of teamwork in the operating room so that all members can see what the surgical goal is. Furthermore, preoperative planning allows a surgeon to assess the possibilities of different combinations of osteotomies at different levels so that the surgeon can go into the operation prepared; even though not all factors can be anticipated, planning ensures that the radiographic deformity is quantified and the most appropriate osteotomy is selected.
There are still many methods of planning with no clear evidence to support superiority of one strategy over another. In addition, there is still much room for improvement. Reconstructive surgery for deformity is a risky procedure, with failure rates as high as 22 % [93] and less than 23 % achieving complete correction [94], though a recent multicentered study showed there are significant variations in practice and surgical techniques [12]. Prior literature defining predictive factors are weak [95], thus a prospective root cause analysis on variability in surgical planning and intraoperative decision making needs to be the next step to figure out how to do better.
Preliminary data [96] suggests that X-ray quality, both at baseline and intraoperatively, can lead to either poor planning or poor intraoperative feedback. This study also found that intraoperative X-rays were a good prediction of postoperative LL, but in general, LL tended to be undercorrected. A deeper analysis revealed that deviation from the pre-operative plan also resulted in undercorrection, especially in patients who needed large correction in LL [97]. Moreover, the reciprocal changes in the unfused thoracic spine following LL correction are still poorly understood and anticipated [98, 99]. In 2012, a comprehensive radiographic analysis by Lafage et al. revealed that significant postoperative alignment changes can occur through the unfused thoracic spinal segments. Furthermore, risk factors, such as older patients, and severe preoperative spinopelvic parameters, found to make these changes unfavorable and led to spinal malalignment following lumber PSO [77]. In fact, a study by Blondel et al. demonstrated that a lack of restoration of thoracic kyphosis may lead to sagittal overcorrection with posterior malalignment [88]. More studies should be done to better anticipate this postoperative response.
While radiographs are useful for evaluating deformity, they are limited to a two-dimensional (2D) assessment. Because most of the recent research in the past decades have been based off the coronal and sagittal planes only, errors in osteotomies and instrumentation have potentially led to surgical failures [47]. Thus, the three-dimensional (3D) nature of deformity needs to have as much attention. Recently, the 3D reconstructive capabilities of EOS system [99] has allowed ongoing research in understanding the third dimension of spinal deformity which may be concealed in traditional 2D radiographs.
A further way of improving outcomes may be to consider age-specific alignment objectives. It is well established that global sagittal alignment [78] and patient reported outcomes change with age [100], and perhaps surgery should be more tailored to a patient’s age. A recent study demonstrated that older patients required more rigorous correction to achieve a minimal clinically important difference compared to younger patients at 2 year follow-up [101]. This may in part be due to the fact that younger patients are predominantly more coronally malaligned and older patients have more degenerative sagittal deformities. Furthermore, sagittal alignment changes as part of the natural history of aging and what may be considered normal alignment in a 20 years old, may not be physiologically acceptable in an elderly patients. Thus, etiology and age remain important preoperative factors that a surgeon should consider to best optimize an operative plan.
Finally, in order to continue to improve preoperative planning and assess intraoperative techniques, there needs to be a common language in which surgeons from all over the world can dialog and share data. A comprehensive spinal osteotomy classification that is anatomically based can provide a universal and objective way of quantifying what works and what is not best practice. The most recent classification provides a simple way of categorizing spinal osteotomies into 6 grades of resection starting from a partial facet joint resection all the way up to a multiple vertebrectomy [32] (Fig. 2.4). These 5 grades provide a systematic, simple, and anatomic way of facilitating communication, standardizing outcomes research, and establishing indications.
2.5 Conclusion
Spinal osteotomies are useful procedures for patients with fixed deformity. Although osteotomies are technically challenging and associated with high rate of complications and revision surgeries, they can dramatically correct malalignment and offer substantial improvement in quality of life. The repercussions of osteotomies are difficult to predict; thus, detailed planning, accurate simulation, and superior intraoperative execution are the key factors to improving outcomes. Intersite variability studies have quantified the limitations of simplified planning and revealed a significant amount of room for improvement [12]. Management of spinal deformity starts with a thorough history of the condition, judicious clinical examination, and educating patients about the risks and benefits of surgical treatment. Using osteotomies for surgical correction involves skill not only in the operating setting but also a meticulous patient-specific plan prior to operative intervention. Imaging studies are critical to evaluate spinal deformity and much can be gained from a 2D picture. Spinopelvic parameters, which correlate with disability status and quality of life, are crucial in the clinical and radiographic evaluation of patients who are candidates for a spinal osteotomy.
References
Albee FH. The classic. Transplantation of a portion of the tibia into the spine for Pott’s disease. A preliminary report. JAMA. 1911;LVII(11):885–886. doi:10.1001/jama.1911.04260090107012.
Denis F. The three column spine and its significance in the classification of acute thoracolumbar spinal injuries. Spine. 1983;8:817–31.
Albert T, Purtill J, Mesa J, Mclntosh T, Balderston R. Health outcome assessment before and after adult deformity surgery: a prospective study. Spine (Phila Pa 1976). 1995;20:2002–4; discussion p 2005.
Glassman SD, Berven S, Kostuik J, Dimar JR, Horton WC, Bridwell K. Nonsurgical resource utilization in adult spinal deformity. Spine. 2006;31:941–7. doi:10.1097/01.brs.0000209318.32148.8b.
Glassman SD, Schwab F, Bridwell KH, Ondra SL, Berven S, Lenke LG. The selection of operative versus nonoperative treatment in patients with adult scoliosis. Spine. 2007;32:93–7. doi:10.1097/01.brs.0000251022.18847.77.
Smith JS, Shaffrey CI, Berven S, Glassman SD, Hamill C, Horton W, et al. Improvement of back pain with operative and nonoperative treatment in adults with scoliosis. Neurosurgery. 2009;65:86–93. doi:10.1227/01.NEU.0000347005.35282.6C; discussion 93–4.
Bridwell KH, Glassman S, Horton W, Shaffrey C, Schwab F, Zebala LP, et al. Does treatment (nonoperative and operative) improve the two-year quality of life in patients with adult symptomatic lumbar scoliosis: a prospective multicenter evidence-based medicine study. Spine. 2009;34:2171–8. doi:10.1097/BRS.0b013e3181a8fdc8.
Bridwell KH, Lewis SJ, Lenke LG, Baldus CC, Blanke K, Rinella A. Pedicle subtraction osteotomy for the treatment of fixed sagittal imbalance. J Bone Joint Surg Am. 2003;85-A:454–63.
Poolman RW, Been HD, Ubags LH. Clinical outcome and radiographic results after operative treatment of Scheuermann’s disease. Eur Spine J. 2002;11:561–9.
Bergin PF, O’Brien JR, Matteini LE, Yu WD, Kebaish KM. The use of spinal osteotomy in the treatment of spinal deformity. Orthopedics. 2010;33:586–94. doi:10.3928/01477447-20100625-22.
Diebo BG, Liu S, Lafage VC, Schwab FJ. Osteotomies in the treatment of spinal deformities: indications, classification, and surgical planning. Eur J Orthop Surg Traumatol. 2014;24 Suppl 1:S11–20. doi:10.1007/s00590-014-1471-7.
Maier S, Smith JS, Schwab F, Obeid I, Mundis G, Klineberg E, et al. Revision surgery after three-column osteotomy in 335 adult spinal deformity patients: inter-center variability and risk factors. Spine. 2014;39:881–5. doi:10.1097/BRS.0000000000000304.
Saban KL, Penckofer SM. Patient expectations of quality of life following lumbar spinal surgery. J Neurosci Nurs (Journal of the American Association of Neuroscience Nurses). 2007;39:180–9.
Smith JS, Shaffrey CI, Fu KMG, Scheer JK, Bess S, Lafage V, et al. Clinical and radiographic evaluation of the adult spinal deformity patient. Neurosurg Clin N Am. 2013;24:143–56. doi:10.1016/j.nec.2012.12.009.
Mancuso CA, Cammisa FP, Sama AA, Hughes AP, Ghomrawi HMK, Girardi FP. Development and testing of an expectations survey for patients undergoing lumbar spine surgery. J Bone Joint Surg Am. 2013;95:1793–800. doi:10.2106/JBJS.L.00338.
Mannion AF, Junge A, Elfering A, Dvorak J, Porchet F, Grob D. Great expectations: really the novel predictor of outcome after spinal surgery? Spine. 2009;34:1590–9. doi:10.1097/BRS.0b013e31819fcd52.
Jeszenszky D, Porchet F, Mutter U, Mannion AF, Lattig F, Fekete TF, et al. A comparison of patient and surgeon preoperative expectations of spinal surgery. Spine. 2013;38:1040–8. doi:10.1097/BRS.0b013e318269c100.
Schwab F, Dubey A, Pagala M, Gamez L, Farcy JP. Adult scoliosis: a health assessment analysis by SF-36. Spine. 2003;28:602–6. doi:10.1097/01.BRS.0000049924.94414.BB.
McCarthy I, Hostin R, O’Brien M, Saigal R, Ames CP. Health economic analysis of adult deformity surgery. Neurosurg Clin N Am. 2013;24:293–304. doi:10.1016/j.nec.2012.12.005.
Burton DC, Glattes RC. Measuring outcomes in spinal deformity. Neurosurg Clin N Am. 2007;18:403–5. doi:10.1016/j.nec.2007.03.001.
Bridwell KH, Cats-baril W, Harrast J, Berven S, Glassman S, Farcy J, et al. The validity of the SRS-22 instrument in an adult spinal deformity population compared with the Oswestry and SF-12: a study of response distribution, concurrent validity, internal consistency, and reliability. Spine. 2005;30:455–61.
Bridwell KH, Berven S, Glassman SD, Hamill C, Horton W, Lenke LG, et al. Is the SRS-22 instrument responsive to change in adult scoliosis patients having primary spinal deformity surgery? Spine. 2007;32:2220–5. doi:10.1097/BRS.0b013e31814cf120.
Berven S, Deviren V, Demir-Deviren S, Hu SS, Bradford DS. Studies in the modified Scoliosis Research Society Outcomes Instrument in adults: validation, reliability, and discriminatory capacity. Spine. 2003;28:2164–9. doi:10.1097/01.BRS.0000084666.53553.D6; discussion 2169.
Blondel B, Schwab F, Ungar B, Smith JS, Bridwell KH, Glassman SD, et al. Impact of magnitude and percentage of global sagittal plane correction on health-related quality of life at 2-years follow-up. Neurosurgery. 2012;71:341–8. doi:10.1227/NEU.0b013e31825d20c0; discussion 348.
Glassman SD, Berven S, Bridwell K, Horton W, Dimar JR. Correlation of radiographic parameters and clinical symptoms in adult scoliosis. Spine. 2005;30:682–8.
Glassman SD, Bridwell K, Dimar JR, Horton W, Berven S, Schwab F. The impact of positive sagittal balance in adult spinal deformity. Spine. 2005;30:2024–9.
Schwab F, Farcy J, Bridwell K, Berven S, Glassman S, Harrast J, et al. A clinical impact classification of scoliosis in the adult. Spine. 2006;31:2109–14. doi:10.1097/01.brs.0000231725.38943.ab.
Schwab F, Lafage V, Patel A, Farcy J-P. Sagittal plane considerations and the pelvis in the adult patient. Spine. 2009;34:1828–33. doi:10.1097/BRS.0b013e3181a13c08.
Jackson RP, Simmons EH, Stripinis D. Coronal and sagittal plane spinal deformities correlating with back pain and pulmonary function in adult idiopathic scoliosis. Spine. 1989;14:1391–7.
Schwab FJ, Smith VA, Biserni M, Gamez L, Farcy J-PC, Pagala M. Adult scoliosis: a quantitative radiographic and clinical analysis. Spine. 2002;27:387–92.
Lafage V, Schwab F, Patel A, Hawkinson N, Farcy J-P. Pelvic tilt and truncal inclination: two key radiographic parameters in the setting of adults with spinal deformity. Spine. 2009;34:E599–606. doi:10.1097/BRS.0b013e3181aad219.
Schwab F, Blondel B, Chay E, Demakakos J, Lenke L, Tropiano P, et al. The comprehensive anatomical spinal osteotomy classification. Neurosurgery. 2014;74:112–20. doi:10.1227/NEU.0000000000000182o.
van Dam BE. Nonoperative treatment of adult scoliosis. Orthop Clin North Am. 1988;19:347–51.
Kotwal S, Kawaguchi S, Hughes A, Cammisa F, Zhang K, Salvati E, et al. Thrombophilic abnormalities in patients with or without pulmonary embolism following elective spinal surgery: a pilot study. HSS J. 2013;9:32–5. doi:10.1007/s11420-012-9318-4.
Barrey C, Roussouly P, Le Huec J-C, D’Acunzi G, Perrin G. Compensatory mechanisms contributing to keep the sagittal balance of the spine. Eur Spine J. 2013;22 Suppl 6:S834–41.
Obeid I, Hauger O, Aunoble S, Bourghli A, Pellet N, Vital J-M. Global analysis of sagittal spinal alignment in major deformities: correlation between lack of lumbar lordosis and flexion of the knee. Eur Spine J. 2011;20 Suppl 5:681–5.
Horton WC, Brown CW, Bridwell KH, Glassman SD, Suk S-I, Cha CW. Is there an optimal patient stance for obtaining a lateral 36" radiograph? A critical comparison of three techniques. Spine. 2005;30:427–33.
Deschênes S, Charron G, Beaudoin G, Labelle H, Dubois J, Miron M-C, et al. Diagnostic imaging of spinal deformities: reducing patients radiation dose with a new slot-scanning X-ray imager. Spine. 2010;35:989–94. doi:10.1097/BRS.0b013e3181bdcaa4.
Humbert L, De Guise JA, Aubert B, Godbout B, Skalli W. 3D reconstruction of the spine from biplanar X-rays using parametric models based on transversal and longitudinal inferences. Med Eng Phys. 2009;31:681–7. doi:10.1016/j.medengphy.2009.01.003.
Ilharreborde B, Steffen JS, Nectoux E, Vital JM, Mazda K, Skalli W, et al. Angle measurement reproducibility using EOS three-dimensional reconstructions in adolescent idiopathic scoliosis treated by posterior instrumentation. Spine. 2011;36:E1306–13. doi:10.1097/BRS.0b013e3182293548.
Glaser DA, Doan J, Newton PO. Comparison of 3-dimensional spinal reconstruction accuracy: biplanar radiographs with EOS versus computed tomography. Spine. 2012;37:1391–7. doi:10.1097/BRS.0b013e3182518a15.
Schwab F, Ungar B, Blondel B, Buchowski J, Coe J, Deinlein D, et al. Scoliosis Research Society-Schwab adult spinal deformity classification: a validation study. Spine. 2012;37:1077–82. doi:10.1097/BRS.0b013e31823e15e2.
Lenke LG, Betz RR, Harms J, Bridwell KH, Clements DH, Lowe TG, et al. Adolescent idiopathic scoliosis: a new classification to determine extent of spinal arthrodesis. J Bone Joint Surg Am. 2001;8:1169–81. doi:10.5455/aces.20130422110147.
Lenke LG, Betz RR, Clements D, Merola A, Haher T, Lowe T, et al. Curve prevalence of a new classification of operative adolescent idiopathic scoliosis: does classification correlate with treatment? Spine. 2002;27:604–11.
Lenke LG, Edwards CC, Bridwell KH. The Lenke classification of adolescent idiopathic scoliosis: how it organizes curve patterns as a template to perform selective fusions of the spine. Spine. 2003;28:S199–207. doi:10.1097/01.BRS.0000092216.16155.33.
Lenke LG. Lenke classification system of adolescent idiopathic scoliosis: treatment recommendations. Instr Course Lect. 2005;54:537–42.
Dubousset J. Three-dimensional analysis of the scoliotic deformity. In: Weinstein S, editor. The pediatric spine: principles and practices. New York: Raven Press; 1994. p. 479–96.
Stagnara P, De Mauroy JC, Dran G, Gonon GP, Costanzo G, Dimnet J, et al. Reciprocal angulation of vertebral bodies in a sagittal plane: approach to references for the evaluation of kyphosis and lordosis. Spine. 1982;7:335–42.
During J, Goudfrooij H, Keessen W, Beeker TW, Crowe A. Toward standards for posture. Postural characteristics of the lower back system in normal and pathologic conditions. Spine. 1985;10:83–7.
Delmas A. Attitude erigee et types rachidiens de statique corporelle. Paris: SDMS, ed. L’Altitude; 1953. p. 17–44.
Bonne AJ. On the shape of the human vertebral column. Acta Orthop Belg. 1969;35:567–83.
Joseph J. Man’s posture. Electromyographic studies. Springfield: Thomas; 1960. p. 1–88.
Beck A, Killus J. Normal posture of spine determined by mathematical and statistical methods. Aerosp Med. 1973;44:1277–81.
Itoi E. Roentgenographic analysis of posture in spinal osteoporotics. Spine (Phila Pa 1976). 1991;16:750–6.
Legaye J, Hecquet J, Marty C, Duval-Beaupère G. Relations entre bassin et courbures rachidiennes sagittales en position debout. Rachis. 1993;5:216–26.
Duval-Beaupère G, Schmidt C, Cosson P. A Barycentremetric study of the sagittal shape of spine and pelvis: the conditions required for an economic standing position. Ann Biomed Eng. 1992;20:451–62.
Legaye J, Duval-Beaupère G, Hecquet J, Marty C. Pelvic incidence: a fundamental pelvic parameter for three-dimensional regulation of spinal sagittal curves. Eur Spine J. 1998;7:99–103.
Berge C. Heterochronic processes in human evolution: an ontogenetic analysis of the hominid pelvis. Am J Phys Anthropol. 1998;105:441–59. doi:10.1002/(SICI)1096-8644(199804)105:4<441::AID-AJPA4>3.0.CO;2-R.
Mac-Thiong J-M, Berthonnaud E, Dimar JR, Betz RR, Labelle H. Sagittal alignment of the spine and pelvis during growth. Spine. 2004;29:1642–7.
Mangione P, Gomez D, Senegas J. Study of the course of the incidence angle during growth. Eur Spine J. 1997;6:163–7.
Bradford DS. Kyphosis. Clin Orthop Relat Res. 1977;128:45–55.
Legaye J, Duval-Beaupere G. Sagittal plane alignment of the spine and gravity: a radiological and clinical evaluation. Acta Orthop Belg. 2005;71:213–20.
Vialle R, Levassor N, Rillardon L, Templier A, Skalli W, Guigui P. Radiographic analysis of the sagittal alignment and balance of the spine in asymptomatic subjects. J Bone Joint Surg Am. 2005;87:260–7. doi:10.2106/JBJS.D.02043.
Been E, Gómez-Olivencia A, Kramer PA. Lumbar lordosis of extinct hominins. Am J Phys Anthropol. 2012;147:64–77.
Lu DC, Chou D. Flatback syndrome. Neurosurg Clin N Am. 2007;18:289–94. doi:10.1016/j.nec.2007.01.007.
Farcy J-P, Schwab F. Management of flatback and related kyphotic decompensation syndromes. Spine. 1997;22:2452–7.
Wiggins GC, Ondra SL, Shaffrey CI. Management of iatrogenic flat-back syndrome. Neurosurg Focus. 2003;15:E8.
Gelb DE, Lenke LG, Bridwell KH, Blanke K, McEnery KW. An analysis of sagittal spinal alignment in 100 asymptomatic middle and older aged volunteers. Spine. 1995;20:1351–8.
Terran J, Schwab F, Shaffrey CI, Smith JS, Devos P, Ames CP, et al. The SRS-Schwab adult spinal deformity classification: assessment and clinical correlations based on a prospective operative and nonoperative cohort. Neurosurgery. 2013;73:559–68. doi:10.1227/NEU.0000000000000012.
Scheuermann H. Kyphosis dorsalis juvenile. Orthop Cir. 1921;41:305.
Kozanek M, Wang S, Passias PG, Xia Q, Li GG, Bono CM, et al. Range of motion and orientation of the lumbar facet joints in vivo. Spine. 2009;34:E689–96. doi:10.1097/BRS.0b013e3181ab4456.
Boseker EH, Moe JH, Winter RB, Koop SE. Determination of “normal” thoracic kyphosis: a roentgenographic study of 121 “normal” children. J Pediatr Orthop. 2000;20:796–8.
Barrey C, Roussouly P, Perrin G, Le Huec J-C. Sagittal balance disorders in severe degenerative spine. Can we identify the compensatory mechanisms? Eur Spine J. 2011;20 Suppl 5:626–33.
Lafage V, Schwab F, Boachie-adjei O, Farcy JP, Shelokov A, Hostin RA, et al. The impact of reciprocal regional alignment changes distant from the site of spinal osteotomies affects postoperative spinal balance. In San Antonio: Scoliosis Research Society; 2009.
Klineberg E, Schwab F, Ames CP, Hostin R, Bess S, Smith JS, et al. Acute reciprocal changes distant from the site of spinal osteotomies affect global postoperative alignment. Adv Orthop. 2011;2011:415946. doi:10.4061/2011/415946.
Blondel B, Lafage V, Schwab F, Farcy J-P, Bollini G, Jouve JL. Reciprocal sagittal alignment changes after posterior fusion in the setting of adolescent idiopathic scoliosis. Eur Spine J. 2012;21:1964–71.
Lafage V, Ames C, Schwab F, Klineberg E, Akbarnia B, Smith J, et al. Changes in thoracic kyphosis negatively impact sagittal alignment after lumbar pedicle subtraction osteotomy: a comprehensive radiographic analysis. Spine. 2012;37:E180–7. doi:10.1097/BRS.0b013e318225b926.
Schwab F, Lafage V, Boyce R, Skalli W, Farcy J-P. Gravity line analysis in adult volunteers: age-related correlation with spinal parameters, pelvic parameters, and foot position. Spine. 2006;31:E959–67. doi:10.1097/01.brs.0000248126.96737.0f.
Jackson RP, McManus AC. Radiographic analysis of sagittal plane alignment and balance in standing volunteers and patients with low back pain matched for age, sex, and size. A prospective controlled clinical study. Spine. 1994;19:1611–8.
Protopsaltis T, Schwab F, Smith JS, Klineberg E, Mundis G, Hostin R, et al. The T1 pelvic angle (TPA), a novel radiographic measure of sagittal deformity, accounts for both pelvic retroversion and truncal inclination and correlates strongly with HRQOL. In: Scoliosis Research Society (SRS) Lyon, 18–21 Sept 2013.
Lafage V, Protopsaltis T, Schwab F, Bronsard N, Smith JS, Klineberg E, et al. The T1 pelvic angle (TPA), a novel radiographic measure of global sagittal deformity, accounts for both pelvic retroversion and truncal inclination and correlates strongly with HRQOL figure 3 correlations between radiological parameters and HRQOL score. In: Congress of Neurological Surgeons, San Francisco, 2013.
Le Huec J-C, Aunoble S, Philippe L, Nicolas P. Pelvic parameters: origin and significance. Eur Spine J. 2011;20 Suppl 5:564–71.
Lafage V, Schwab F, Skalli W, Hawkinson N, Gagey P, Ondra S, et al. Standing balance and sagittal plane spinal deformity: analysis of spinopelvic and gravity line parameters. Spine. 2008;33:1572–8. doi:10.1097/BRS.0b013e31817886a2.
Lafage V, Ferrero E, Lafage R, Challier V, Liabaud BG, Barthelemy I, Diebo S, Liu, et al. Chain of compensation related to PI-LL mismatch: a complete standing axis investigation including lower extremities. In: SRS 49th annual meeting, p. Podium Presentation. 2014.
Boulay C, Tardieu C, Hecquet J, Benaim C, Mouilleseaux B, Marty C, et al. Sagittal alignment of spine and pelvis regulated by pelvic incidence: standard values and prediction of lordosis. Eur Spine J. 2006;15:415–22. doi:10.1007/s00586-005-0984-5.
Schwab FJ, Diebo BG, Smith JS, Hostin RA, Shaffrey CI, Cunningham ME, et al. Fine-tuned surgical planning in adult spinal deformity: determining the lumbar lordosis necessary by accounting for both thoracic kyphosis and pelvic incidence. In: North American Spine Society 29th annual meeting (San Francisco). Podium presentation. & In: The 21st International Meeting on Advanced Spine Techniques (IMAST), Valencia. Two-Minute Podium Presentation. 2014.
Smith JS, Klineberg E, Schwab F, Shaffrey CI, Moal B, Ames CP, et al. Change in classification grade by the SRS-Schwab adult spinal deformity classification predicts impact on health-related quality of life measures: prospective analysis of operative and non-operative treatment. Spine. 2013;38:1663–71. doi:10.1097/BRS.0b013e31829ec563.
Smith JS, Bess S, Shaffrey CI, Burton DC, Hart RA, Hostin R, et al. Dynamic changes of the pelvis and spine are key to predicting postoperative sagittal alignment after pedicle subtraction osteotomy: a critical analysis of preoperative planning techniques. Spine. 2012;37:845–53.
Lafage V, Schwab F, Vira S, Patel A, Ungar B, Farcy J-P. Spino-pelvic parameters after surgery can be predicted: a preliminary formula and validation of standing alignment. Spine. 2011;36:1037–45.
Akbar M, Terran J, Ames CP, Lafage V, Schwab F. Use of Surgimap Spine in sagittal plane analysis, osteotomy planning, and correction calculation. Neurosurg Clin N Am. 2013;24:163–72. doi:10.1016/j.nec.2012.12.007.
Aurouer N, Obeid I, Gille O, Pointillart V, Vital J-M. Computerized preoperative planning for correction of sagittal deformity of the spine. Surg Radiol Anat. 2009;31:781–92. doi:10.1007/s00276-009-0524-9.
Ondra SL, Marzouk S, Koski T, Silva F, Salehi S. Mathematical calculation of pedicle subtraction osteotomy size to allow precision correction of fixed sagittal deformity. Spine. 2006;31:E973–9. doi:10.1097/01.brs.0000247950.02886.e5.
Lafage V, Smith JS, Bess S, Schwab FJ, Ames CP, Klineberg E, et al. Sagittal spino-pelvic alignment failures following three column thoracic osteotomy for adult spinal deformity. Eur Spine J. 2012;21:698–704.
Moal B, Schwab FJ, Ames CP, Smith JS, Ryan DJ, Mummaneni PV, et al. Radiographic outcomes of adult spinal deformity correction: a critical analysis of variability and failures across deformity patterns. Spine Deformity. 2014;2:219–25. doi:10.1016/j.jspd.2014.01.003.
Berjano P, Bassani R, Casero G, Sinigaglia A, Cecchinato R, Lamartina C. Failures and revisions in surgery for sagittal imbalance: analysis of factors influencing failure. Eur Spine J. 2013. doi:10.1007/s00586-013-3024-x.
Moal B, Liu S, Terran JS, Paul J, Protopsaltis T, Schwab FJ, et al. Prospective evaluation of surgical planning in adult sagittal realignment: root cause analysis failure. In Miami: ISASS: The International Society for the Advancement of Spine Surgery. 2014.
Moal B, Lafage VC, Maier SP, Liu S, Challier V, Skalli W, et al. Discrepancies in preoperative planning and operative execution in the correction of sagittal spinal deformities. In: North American Spine Society 29th annual meeting (San Francisco). Podium Presentation. 2014.
Blondel B, Schwab F, Bess S, Ames CP, Mummaneni PV, Hart R, et al. Posterior global malalignment after osteotomy for sagittal plane deformity: it happens and here is why. Spine. 2013;38:E394–401.
Gille O, Champain N, Benchikh-El-Fegoun A, Vital J-M, Skalli W. Reliability of 3D reconstruction of the spine of mild scoliotic patients. Spine. 2007;32:568–73. doi:10.1097/01.brs.0000256866.25747.b3.
Ware JE, Kosinski M. SF-36 physical & mental health summary scales: a manual for users of version 1. 2nd ed. Lincoln: QualityMetric Incorporated; 2005.
Schwab FJ, Lafage R, Liabaud B, Diebo B, Smith JS, Hostin RA, et al. Does one size fit all? Defining spino-pelvic alignment thresholds based on age. In: North American Spine Society 29th annual meeting (San Francisco). Podium Presentation. San Francisco, 2014.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer Science+Business Media Dordrecht
About this chapter
Cite this chapter
Diebo, B., Liu, S., Schwab, F., Lafage, V. (2015). Clinical and Radiographic Evaluation. In: Wang, Y., Boachie-Adjei, O., Lenke, L. (eds) Spinal Osteotomy. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-8038-4_2
Download citation
DOI: https://doi.org/10.1007/978-94-017-8038-4_2
Published:
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-017-8037-7
Online ISBN: 978-94-017-8038-4
eBook Packages: MedicineMedicine (R0)