Abstract
Foregoing technical advances in CT imaging, in particular the possibility of dual-energy CT (DECT) imaging, yielded to clear advantages in tumor detection, lesion characterization, and evaluation of response to therapy in oncological imaging. By using two different energies, DECT allows material decomposition on the basis of energy-dependent attenuation profiles of specific materials. Using DECT iodine can be extracted from an image to generate a set of simulated unenhanced images, thus eliminate the need for separate unenhanced datasets with consequently reduced radiation dose. However, studies using DECT in radiological imaging of the gastrointestinal tract are rare, as until recently, the main two focuses for abdominal oncological imaging using DECT were the detection and characterization of focal liver lesions and second oncological imaging of pancreatic cancer.
Access provided by Autonomous University of Puebla. Download chapter PDF
Similar content being viewed by others
Keywords
7.1 Introduction
Radiological imaging of the gastrointestinal tract provides useful diagnostic information regarding a wide variety of benign and malignant tumors. Although MRI, due to its superior soft tissue contrast options, is considered superior for characterization of various soft tissue lesions, in clinical practice computed tomography (CT) often will be the first and only imaging technique. CT has still an important role in the detection and diagnosis of gastrointestinal tumors and represents clinical practice for evaluating adjacent organ invasion, distant metastasis, and peritoneal seeding. A recent development in CT has been the introduction of dual-source technology. On such CT systems, two X-ray tubes can be operated at different tube potentials, making “dual-energy scanning” possible [1]. Dual-energy CT (DECT) imaging implies the acquisition of CT data with two different X-ray spectra, and it can be obtained through several commercially available hardware platforms [2]. DECT applications are based on two distinct capabilities: material differentiation and material identification and quantification. Material differentiation means obtaining material-specific images with separation, and material identification and quantification mean accurate assessment of the presence and amount of, for example, iodine in a target lesion [3].
These foregoing technical advances in CT imaging, in particular, the possibility of DECT imaging, yielded to clear advantages in tumor detection, lesion characterization, and evaluation of response to therapy in oncological imaging. The technology opens up the possibility of advanced assessment and documentation of therapy response by concurrent quantification of tumor size and iodine uptake and proposes a unifying solution to the issues related to multiphase scanning, contrast medium volume, and radiation dose [3, 4]. The combination of low-energy images and iodine as well as the different applications of postprocessed DECT images has the potential to change the way oncologic patients are assessed and monitored. The raw data derived from DECT may be mathematically manipulated to generate postprocessed datasets, including material-specific iodine, virtual monochromatic (VMC), and virtual nonenhanced (VNE) images [5]. Because the behavior of iodine at different energies is known, iodine may be extracted from an image to generate a set of simulated unenhanced images, thus eliminate the need for separate unenhanced datasets with consequently reduced radiation dose and examination time for the patients [5].
The potential applications of DECT when evaluating the abdomen are numerous. Clinical applications seek to use the technical characteristics of DECT and recent developments toward quantitative and functional imaging, particularly in the context of material-specific imaging, underline the increasing importance of DECT in oncology [2]. However, studies using DECT in radiological imaging of the gastrointestinal tract are rare, as until recently, the main two focuses for abdominal oncological imaging using DECT were the detection and characterization of focal liver lesions and second oncological imaging of pancreatic cancer. Recent studies suggest that DECT has the potential to improve the differentiation between benign and malignant tissue in gastrointestinal cancers, but more prospective clinical evidence will be needed in this context.
7.2 Esophageal and Gastric Malignancy
Esophageal carcinomas are mostly asymptomatic in early stages and most patients are referred to diagnostic procedures at an advanced stage [6]. However, some patients may exhibit dysphagia, bleeding, or other symptoms. Occasionally, early esophageal cancers can be detected by serendipity or by screening of asymptomatic patients in high-risk groups. Accurate staging is crucial to assess the therapeutic regimen and the possibility for cure by operative tumor removal [6]. It is of importance to exclude distant metastases and to ensure a response to radiation therapy and chemotherapy if these are used in a curative approach before surgery. Regardless of the morphology of the tumor, CT typically reveals marked circumferential thickening of the esophageal wall. Infiltrating carcinomas are usually manifested on barium studies by irregular luminal narrowing with mucosal nodularity, ulceration, and abrupt, shelf-like proximal and distal borders [7]. The standard diagnostic tools in this tumor entity are endoscopic ultrasonography (EUS) for local assessment of the T and N statuses and CT for additional searching for distant metastases. Biopsy remains the gold standard for identifying malignant disease and T staging relies on the histopathologic examination of resected tissue [6]. Squamous cell carcinomas tend to be located in the upper or mid-esophagus, whereas adenocarcinomas predominantly are located in the distal esophagus and have a marked tendency to invade the gastric cardia and fundus. EUS as well as integrated PET/CT with 2-[18F]-fluoro-2-deoxy-D-glucose (FDG) has emerged as an important and recommended part of routine staging of patients with esophageal cancer in international guidelines [8–10]. Knowledge of tumor extent and its relationship with vascular structures is important for treatment planning. Ongoing research is performed if DECT may also help confirm the morphologic and enhancement characteristics of esophageal cancer. In particular, DECT may be used for direct visualization of iodine uptake within tumor in color-coded fashion, which may allow a reliable quantification of tumor enhancement.
Gastric carcinoma is one of the most common tumors and generally has a poor prognosis. It is classified according to histologic characteristics [6] with two major subgroups of microscopic growth pattern, the so-called intestinal type and the nonintestinal or diffuse type [6, 11]. The extent of stomach wall invasion by the tumor spread to the lymph nodes and the presence of distal organ metastases determine the stage of the tumor [12]. Gastric adenocarcinoma usually arises from the distal esophagus or the esophagogastric junction and first spreads locally, mostly through the gastric wall. Standard diagnostic tools in the assessment of gastric carcinomas are EUS and CT or staging laparoscopy [6]. Both CT and PET are useful for assessment of treatment response following preoperative chemotherapy and for detection of recurrence after surgical resection [12]. MRI, despite its better soft tissue contrast and direct multiplanar imaging capability, is less preferred than CT due to prolonged scanning time and higher cost [12]. Perfusion CT has been proposed for measurement of angiogenesis and tumor perfusion [13, 14] Preliminary studies with perfusion CT of gastric cancer have shown that the blood volume is significantly increased in gastric cancer compared to that of normal stomach mucosa [12, 15]. As DECT allows quantification of intravenously injected iodinated contrast media in tumors, and therefore may be considered as a surrogate marker for perfusion and tumor vascularity, DECT may also provide additional information for preoperative staging and assessment of treatment response, respectively (Fig. 7.1). However, studies validating the usefulness of DECT in for individualized treatment of gastric cancer are eagerly awaited.
Gastrointestinal stromal tumors (GIST) represent an extremely rare neoplasm which is increasingly recognized as a distinct tumor entity of soft tissue tumors. The majority of these gastrointestinal tumors are located in the stomach and small intestine and compose 1–3 % of malignant gastrointestinal tumors [16, 17]. Metastases are most common in the liver, mesentery, and peritoneum. On imaging, small GISTs are mostly well-defined solid mass with homogenous enhancement; larger tumors may show areas of hemorrhage, cystic/necrotic areas, and heterogeneous enhancement (Fig. 7.2). After contrast administration neovascularity may be seen within the tumor [18]. Therapeutic options for GIST include radical surgery for primary tumors and targeted therapy with tyrosine kinase inhibitors imatinib or sunitinib for metastatic disease [19–21]. Radiologic appearances can change drastically after therapy and knowledge of such imaging features is beneficial in managing these patients. With the recent introduction of targeted therapy for imatinib, clinical management and prognosis of GIST patients have improved significantly. Response to imatinib is characterized by decreased enhancement, resolution of the enhancing tumor nodules, and a decrease in tumor neovascularity, and these changes are usually seen within 1 month of initiation of chemotherapy [18]. Since the introduction of these molecularly targeted drugs, there has been increasing concern about the use of traditional tumor response criteria (e.g., WHO or RECIST), as several studies have indicated that response to treatment is not equivalent to a change in tumor size [22, 23]. Choi et al. have proposed the measurement of CT attenuation values as a potential indicator of GIST response in patients undergoing targeted therapy. According to the Choi criteria, tumor density is determined by drawing regions of interest (ROI) circumscribing the margin of the tumor on portal venous-phase CT images [19, 24, 25]. Choi et al. have demonstrated that a decrease in tumor size of >10 % or a decrease in tumor density of >15 % had a sensitivity of 97 % and a specificity of 100 % in detecting patients with good response to treatment with imatinib evaluated by PET-CT in metastatic GIST [18, 26]. Decreased density of responding GIST on CT pathologically correlates with the development of tumor necrosis on histopathology and cystic or myxoid degeneration; however, GIST response may result in increased density because of intratumoral hemorrhage, which is a rare but well-known effect observed during imatinib therapy [19, 27, 28] (Fig. 7.2).
DECT allows selective quantification and visualization of iodine-related attenuation (IRA) differences [19] which facilitates the generation of VNE CT images and can be used to improve the lesion conspicuity [29]. As previously described, VNE CT data calculated from DECT might potentially eliminate the need for acquisition of a separate unenhanced dataset, which could result in a considerable decrease in radiation exposure to patients [19] (Fig. 7.2). Several studies on abdominal (renal and liver) DECT have shown good correlation between VNE and TNE CT Series [30–32].
It could be recently demonstrated that DECT is a promising imaging modality for the assessment of treatment response in GIST, as IRA may be a more robust response parameter than Choi criteria [19]. DECT is capable of visualizing and quantifying typical patterns of GIST lesions. Further, DECT analysis is a promising predictor of tumor progression if compared to established response criteria. A recent analysis by Meyer et al. [23] also indicated that DECT allows a better prediction of therapeutic benefit in advanced GIST patients treated with tyrosine kinase inhibitors than established response criteria. However, the most important predictive biomarker of therapeutic benefit in this study was absence of progression, no matter which response evaluation criteria were applied.
7.3 Duodenal Carcinoma and Other Tumors of the Small Intestine
Small bowel neoplasms, such as adenocarcinoma, carcinoid tumor, lymphoma, or gastrointestinal stromal tumors, represent a small percentage of gastrointestinal cancers, however do have poor prognosis compared with other gastrointestinal malignancies [33].
Adenocarcinoma is the most common primary malignancy of the small bowel and accounts for 40 % of cancers with predominant location in the duodenum and proximal jejunum, with the incidence decreasing distally [33, 34]. In general, adenocarcinomas are more frequently found in the jejunum rather than in the ileum, except in patients with Crohn disease who are at higher risk for this specific tumor [35–37].
Carcinoid is the second most common malignancy, accounting for approximately 20–25 % of all small bowel lesions. Carcinoid tumors are more common in the ileum than in the jejunum or duodenum, and lesions may be multiple and/or metastatic at the time of diagnosis [33].
The third and fourth most common neoplasms are non-Hodgkin lymphoma (NHL) and GIST, respectively. NHL is more common in patients with celiac disease and in patients with acquired immune deficiency syndrome (AIDS), and particularly prevalent in developing countries [33].
Malignant neoplasms of the mesenteric small bowel are rare conditions, which are often discovered at an evolved stage, resulting in a poor prognosis. Consequently, early detection of small bowel neoplasms is desirable but still challenging unless appropriate imaging methods and protocols are used [35]. CT and MRI imaging have a well-known potential for providing comprehensive information, including intraluminal, mural, and extraintestinal evaluation. The association of CT scanning with luminal distension of the small bowel and intravenous administration of iodinated contrast material is the basic concept behind two specific techniques, namely, CT enteroclysis and CT enterography [35, 38, 39]. Briefly, CT enteroclysis, which is based on direct infusion of enteral contrast agent into the mesenteric small bowel through a naso-jejunal tube, provides optimal luminal distension. By contrast, computed tomography enterography is based on oral administration of enteral contrast agent [35]. MR enteroclysis is an emerging technique for the evaluation of the mesenteric small bowel, which provides excellent image quality and sufficient distention of the entire mesenteric small bowel.
On standard CT images acquired at 120 kVp, it might be difficult to discriminate between physiological and abnormal enhancement of the small bowel wall. However, as low kVp images display greater density of contrast agent than standard images, DECT might help to determine the presence of subtle inflammation when data are viewed at 80 kVp [1]. Similarly, in patients with suspected small bowel ischemia, the low 80 kVp images may aid in visual assessment of small bowel enhancement and hence perfusion [1].
Malignant neoplasms of the mesenteric small bowel are rare conditions, which are often discovered at an evolved stage, resulting in a poor prognosis. DECT might help in the task of early detection of small bowel neoplasms; however, this needs to be further evaluated by outcome-based, unbiased, and well-designed prospective studies.
7.4 Colorectal Cancer
Colorectal cancer remains a major cause of morbidity and mortality worldwide, with approximately 609,000 deaths per annum [40]. Survival of patients with colorectal cancer depends primarily on disease stage. The 5-year relative survival rate is 90 % for localized cancers but only 12 –19 % for cancers with distant metastases [41, 42]. Traditionally, colorectal cancers have been classified by clinicopathological features, including tumor location, TNM stage, differentiation, and grade. However, this may not provide sufficient information with respect to tumor profiling toward a more targeted treatment approach. Colorectal cancers are heterogeneous with respect to genetic and epigenetic mutations and may be classified by molecular characteristics [40, 43, 44].
Imaging plays an important role in the assessment of colorectal cancer, including diagnosis, staging, selection of treatment, assessment of treatment response, surveillance, and investigation of suspected disease relapse [40]. Concurrent with advances in the treatment of colorectal cancers, there have been major advances in imaging, with the development of new imaging modalities, functional imaging techniques, and contrast media and the proposal of alternative tumor response criteria [42, 45, 46]. Utilization of different imaging modalities in diagnosing of colorectal cancer varies between countries and institutions. Recent developments in imaging technologies and validation of newer imaging techniques may lead to significant improvements in the management of patients with colorectal cancers. Diagnostic techniques such as diffusion-weighted imaging (DWI), fluorodeoxyglucose positron emission tomography (FDG-PET), and dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) are increasingly used and have shown to be clinically useful in tumor characterization [47–50]. Newly developed techniques such as perfusion CT and MRI spectroscopy allowing insights in tumor biology have shown promising results; however, they are not yet validated for clinical practice [7, 8]. Recently, DECT has been investigated for direct visualization of iodine uptake within tumor in color-coded fashion, which makes a reliable quantification of enhancement [51] (Fig. 7.3). Using redcolor-encoding iodine overlay images generated by DECT, Chen et al. were able to demonstrate the extra colonic spread of the tumor [51]. The fact that cancers show enhancement of approximately 40 HU on single-energy CT during the portal phase strengthens the idea that enhancement of colorectal cancers may be used for their detection, especially when conspicuity can be increased [52–54]. In a feasibility study, Boellaard et al. could show that colorectal cancers are visible on the contrast-enhanced DECT without bowel preparation or insufflation [52]. Because of the patient-friendly nature of this approach, further studies should explore its use for colorectal cancer detection in frail and elderly patients. As technological improvements in CT continue to evolve, this will further extend clinical applications.
7.5 Conclusion
DECT is an innovative imaging technique that can have a considerable effect on the care of oncologic patients. The possibility of obtaining different material-specific datasets in oncology has considerable potential for improving tumor detection and characterization while concurrently shortening the examination time and reducing the radiation dose [1, 2, 31, 32]. Additionally, imaging-based therapy monitoring has gained a central role in oncologic imaging and a DECT-based therapy monitoring concept may allow for objective, easy, and fast evaluation of the tumor size and contrast-medium uptake in one step and may have a promising role in monitoring therapy response [2]. Various whole-body applications are conceivable for routine oncological monitoring; however, studies investigating DECT for the gastrointestinal tract are rare, as until recently, the main two focuses for abdominal oncological imaging using DECT were the detection and characterization of focal liver lesions and second oncological imaging of pancreatic cancer. Recent studies suggest that DECT has the potential to improve the differentiation between benign and malignant tissue in gastrointestinal cancers, but more prospective clinical studies are warranted to assess the clinical benefit.
References
Graser A, Johnson TR, Chandarana H, Macari M (2009) Dual energy CT: preliminary observations and potential clinical applications in the abdomen. Eur Radiol 19:13–23
Simons D, Kachelriess M, Schlemmer HP (2014) Recent developments of dual-energy CT in oncology. Eur Radiol 24:930–939
De Cecco CN, Darnell A, Rengo M et al (2012) Dual-energy CT: oncologic applications. AJR Am J Roentgenol 199:S98–S105
Fuentes-Orrego JM, Pinho D, Kulkarni NM, Agrawal M, Ghoshhajra BB, Sahani DV (2014) New and evolving concepts in CT for abdominal vascular imaging. Radiographics 34:1363–1384
Agrawal MD, Pinho DF, Kulkarni NM, Hahn PF, Guimaraes AR, Sahani DV (2014) Oncologic applications of dual-energy CT in the abdomen. Radiographics 34:589–612
Rosenbaum SJ, Stergar H, Antoch G, Veit P, Bockisch A, Kuhl H (2006) Staging and follow-up of gastrointestinal tumors with PET/CT. Abdom Imaging 31:25–35
Levine MSHR (2000) Esophageal carcinoma. Saunders, Philadelphia
Wong R, Walker-Dilks C, Raifu A (2012) Evidence-based guideline recommendations on the use of positron emission tomography imaging in oesophageal cancer. Clin Oncol 24:86–104
Allum WH, Blazeby JM, Griffin SM, Cunningham D, Jankowski JA, Wong R (2011) Guidelines for the management of oesophageal and gastric cancer. Gut 60:1449–1472
van Rossum PS, van Lier AL, Lips IM et al (2015) Imaging of oesophageal cancer with FDG-PET/CT and MRI. Clin Radiol 70(1):81–95
Lauren P (1965) The two histological main types of gastric carcinoma: diffuse and so-called intestinal-type carcinoma. An attempt at a histo-clinical classification. Acta Pathol Microbiol Scand 64:31–49
Hallinan JT, Venkatesh SK (2013) Gastric carcinoma: imaging diagnosis, staging and assessment of treatment response. Cancer Imaging 13:212–227
Cuenod CA, Fournier L, Balvay D, Guinebretiere JM (2006) Tumor angiogenesis: pathophysiology and implications for contrast-enhanced MRI and CT assessment. Abdom Imaging 31:188–193
Lee TY, Purdie TG, Stewart E (2003) CT imaging of angiogenesis. Q J Nucl Med 47:171–187
Yao J, Yang ZG, Chen TW, Li Y, Yang L (2010) Perfusion changes in gastric adenocarcinoma: evaluation with 64-section MDCT. Abdom Imaging 35:195–202
Miettinen M, Lasota J (2001) Gastrointestinal stromal tumors – definition, clinical, histological, immunohistochemical, and molecular genetic features and differential diagnosis. Virchows Arch 438:1–12
Ghanem N, Altehoefer C, Furtwangler A et al (2003) Computed tomography in gastrointestinal stromal tumors. Eur Radiol 13:1669–1678
Sureka B, Mittal MK, Mittal A, Sinha M, Thukral BB (2014) Imaging spectrum of gastrointestinal stromal tumor. Indian J Med Paediatr Oncol 35:143–148
Apfaltrer P, Meyer M, Meier C et al (2012) Contrast-Enhanced Dual-Energy CT of Gastrointestinal Stromal Tumors: Is Iodine-Related Attenuation a Potential Indicator of Tumor Response? Invest Radiol 47(1)):65–70
Demetri GD, Benjamin RS, Blanke CD et al (2007) NCCN Task Force report: management of patients with gastrointestinal stromal tumor (GIST) – update of the NCCN clinical practice guidelines. J Natl Compr Canc Netw 5(Suppl 2):S1–S29, quiz S30
Demetri GD, von Mehren M, Blanke CD et al (2002) Efficacy and safety of imatinib mesylate in advanced gastrointestinal stromal tumors. N Engl J Med 347:472–480
Benjamin RS, Choi H, Macapinlac HA et al (2007) We should desist using RECIST, at least in GIST. J Clin Oncol 25:1760–1764
Meyer M, Hohenberger P, Apfaltrer P et al (2013) CT-based response assessment of advanced gastrointestinal stromal tumor: dual energy CT provides a more predictive imaging biomarker of clinical benefit than RECIST or Choi criteria. Eur J Radiol 82:923–928
Choi H (2008) Response evaluation of gastrointestinal stromal tumors. Oncologist 13(Suppl 2):4–7
Choi H, Charnsangavej C, de Castro Faria S et al (2004) CT evaluation of the response of gastrointestinal stromal tumors after imatinib mesylate treatment: a quantitative analysis correlated with FDG PET findings. AJR Am J Roentgenol 183:1619–1628
Choi H, Charnsangavej C, Faria SC et al (2007) Correlation of computed tomography and positron emission tomography in patients with metastatic gastrointestinal stromal tumor treated at a single institution with imatinib mesylate: proposal of new computed tomography response criteria. J Clin Oncol 25:1753–1759
Hong X, Choi H, Loyer EM, Benjamin RS, Trent JC, Charnsangavej C (2006) Gastrointestinal stromal tumor: role of CT in diagnosis and in response evaluation and surveillance after treatment with imatinib. Radiographics 26:481–495
Reichardt P, Schneider U, Stroszczynski C, Pink D, Hohenberger P (2004) Molecular response of gastrointestinal stromal tumour after treatment with tyrosine kinase inhibitor imatinib mesylate. J Clin Pathol 57:215–217
Tawfik AM, Kerl JM, Bauer RW et al (2012) Dual-energy CT of head and neck cancer: average weighting of low- and high-voltage acquisitions to improve lesion delineation and image quality-initial clinical experience. Invest Radiol 47:306–311
Sommer CM, Schwarzwaelder CB, Stiller W et al (2012) Iodine removal in intravenous dual-energy CT-cholangiography: is virtual non-enhanced imaging effective to replace true non-enhanced imaging? Eur J Radiol 81(4):692–699
Neville AM, Gupta RT, Miller CM, Merkle EM, Paulson EK, Boll DT (2011) Detection of renal lesion enhancement with dual-energy multidetector CT. Radiology 259(1):173–183
Graser A, Johnson TR, Hecht EM et al (2009) Dual-energy CT in patients suspected of having renal masses: can virtual nonenhanced images replace true nonenhanced images? Radiology 252:433–440
Anzidei M, Napoli A, Zini C, Kirchin MA, Catalano C, Passariello R (2011) Malignant tumours of the small intestine: a review of histopathology, multidetector CT and MRI aspects. Br J Radiol 84:677–690
Ouriel K, Adams JT (1984) Adenocarcinoma of the small intestine. Am J Surg 147:66–71
Soyer P, Boudiaf M, Fishman EK et al (2011) Imaging of malignant neoplasms of the mesenteric small bowel: new trends and perspectives. Crit Rev Oncol Hematol 80:10–30
Fidler JL, Guimaraes L, Einstein DM (2009) MR imaging of the small bowel. Radiographics 29:1811–1825
Verma D, Stroehlein JR (2006) Adenocarcinoma of the small bowel: a 60-yr perspective derived from M.D Anderson cancer center tumor registry. Am J Gastroenterol 101:1647–1654
Maglinte DD, Sandrasegaran K, Lappas JC, Chiorean M (2007) CT enteroclysis. Radiology 245:661–671
Romano S, De Lutio E, Rollandi GA, Romano L, Grassi R, Maglinte DD (2005) Multidetector computed tomography enteroclysis (MDCT-E) with neutral enteral and IV contrast enhancement in tumor detection. Eur Radiol 15:1178–1183
Goh V, Glynne-Jones R (2014) Perfusion CT imaging of colorectal cancer. Br J Radiol 87:20130811
Kopetz S, Chang GJ, Overman MJ et al (2009) Improved survival in metastatic colorectal cancer is associated with adoption of hepatic resection and improved chemotherapy. J Clin Oncol 27:3677–3683
Tirumani SH, Kim KW, Nishino M et al (2014) Update on the role of imaging in management of metastatic colorectal cancer. Radiographics 34:1908–1928
Vogelstein B, Fearon ER, Hamilton SR et al (1988) Genetic alterations during colorectal-tumor development. N Engl J Med 319:525–532
Shen L, Toyota M, Kondo Y et al (2007) Integrated genetic and epigenetic analysis identifies three different subclasses of colon cancer. Proc Natl Acad Sci U S A 104:18654–18659
Fowler KJ, Linehan DC, Menias CO (2013) Colorectal liver metastases: state of the art imaging. Ann Surg Oncol 20:1185–1193
Chun YS, Vauthey JN, Boonsirikamchai P et al (2009) Association of computed tomography morphologic criteria with pathologic response and survival in patients treated with bevacizumab for colorectal liver metastases. JAMA 302:2338–2344
Kekelidze M, D'Errico L, Pansini M, Tyndall A, Hohmann J (2013) Colorectal cancer: current imaging methods and future perspectives for the diagnosis, staging and therapeutic response evaluation. World J Gastroenterol 19:8502–8514
Torigian DA, Huang SS, Houseni M, Alavi A (2007) Functional imaging of cancer with emphasis on molecular techniques. CA Cancer J Clin 57:206–224
Beets-Tan RG, Beets GL, Vliegen RF et al (2001) Accuracy of magnetic resonance imaging in prediction of tumour-free resection margin in rectal cancer surgery. Lancet 357:497–504
Niekel MC, Bipat S, Stoker J (2010) Diagnostic imaging of colorectal liver metastases with CT, MR imaging, FDG PET, and/or FDG PET/CT: a meta-analysis of prospective studies including patients who have not previously undergone treatment. Radiology 257:674–684
Chen CY, Hsu JS, Jaw TS et al (2014) Utility of the iodine overlay technique and virtual nonenhanced images for the preoperative T staging of colorectal cancer by dual-energy CT with tin filter technology. PLoS One 9, e113589
Boellaard TN, Henneman OD, Streekstra GJ et al (2013) The feasibility of colorectal cancer detection using dual-energy computed tomography with iodine mapping. Clin Radiol 68:799–806
Neri E, Vagli P, Picchietti S et al (2005) CT colonography: contrast enhancement of benign and malignant colorectal lesions versus fecal residuals. Abdom Imaging 30:694–697
Oto A, Gelebek V, Oguz BS et al (2003) CT attenuation of colorectal polypoid lesions: evaluation of contrast enhancement in CT colonography. Eur Radiol 13:1657–1663
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Apfaltrer, P. (2015). Dual Energy CT in Gastrointestinal Tumors. In: De Cecco, C., Laghi, A., Schoepf, U., Meinel, F. (eds) Dual Energy CT in Oncology. Springer, Cham. https://doi.org/10.1007/978-3-319-19563-6_7
Download citation
DOI: https://doi.org/10.1007/978-3-319-19563-6_7
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-19562-9
Online ISBN: 978-3-319-19563-6
eBook Packages: MedicineMedicine (R0)