Introduction

In India, locally advanced breast cancer (LABC) is prevalent, and it is among the leading causes of death in cancer patients. The incidence is higher as compared to the western world where early breast cancer is more common than advanced breast cancer. Under current practices, appropriate staging requires multiple organ–based investigations like contrast-enhanced computed tomography (CECT), roentgenograms, Tc99m bone scintigraphy, ultrasonogram (USG), and other investigations based upon the requirement of an individual patient. This may require multiple visits to the hospital. PET exploits the glycolytic activity of the malignant cells and can scan the whole body in a single setting. It can be fused with CECT (PET-CT) to increase its accuracy. Tumors with higher activity are more avid on PET scans and show higher standard uptake value (SUV). The present study is a prospective comparison of CECT and Tc 99 bone scintigraphy with the fusion PET-CT for staging patients with LABC.

Material and Methods

Sequential LABC patients presenting to a breast cancer clinic at a tertiary cancer care hospital from 2015 to 2016 were evaluated for inclusion in the study. Patients with uncontrolled diabetes mellitus, pregnancy, and a history of previous malignancy were excluded from the study. After institute ethical committee approval, 73 consenting patients were subjected to CI, i.e., CECT of chest, abdomen, and pelvis; Tc99m bone scintigraphy; and 18 Flouro-deoxyglucose PET-CT scan. Images were reviewed by two experienced physicians, and the presence of metastasis at various sites on imaging was decided based on classical findings. Rates of detection of metastasis between two modalities were compared. Patients showing a disparity in between the two modalities underwent biopsy and histopathological examination of the metastatic site wherever feasible. Doubtful lesions on PET-CT or CI were followed up for 2 years clinically to confirm their nature.

Results

Seventy-three LABC cases were included in the study. The mean tumor size was 6.71 cm (2–15 cm). Axillary lymph nodes were palpable in 86.3% of patients. Clinically ipsilateral N1, N2, and N3 nodes were present in 63.01%, 17.80%, and 1.36% of patients respectively. Histopathology was infiltrating ductal carcinoma in 95.8%, DCIS in 4.10% of patients.

Concordance between CI and PET-CT imaging in terms of liver, bone, and lung metastases was observed in 56 (76.71%) patients. Stage migration was found in 25(34.24%). PET-CT upstaged the disease in 30 (36.98%) patients as compared to CI. Stage III to stage IV migration occurred in 12 (16.43%) patients due to the identification of distant metastasis. PET-CT detected more lymph nodes at axillary, supraclavicular, and internal-mammary lymph node stations as compared to CI. Upstaging within stage III from IIIA to IIIB or IIIC occurred in 20 (27.39%) patients. PET-CT also detected additional sites of metastases in 4 (5.4%) of patients who were already diagnosed as metastatic by CI. PET-CT downstaged the disease in 4 (5.4%) patients. In these patients, metastasis detected by CI was not shown by PET-CT. Tables 1 and 2 show variations of lymph node detection rates and stage migration respectively.

Table 1 Lymph node staging by conventional imaging and PET-CT
Table 2 Stage migration in PET-CT

PET-CT led to a change in the management plan in 22 (30.13%) patients. Histopathological confirmation could be done in 12 patients. In lesions where biopsy is available for conformation, PET-CT was false positive in 3 out of 12 (25%) patients and false negative in 2 out of 12 (16.6%) patients, whereas CI was false negative in 6 out of 12 (50%) patients (Table 3 shows biopsy results and Table 4 compares results of PET-CT and CI).

Table 3 Histopathological confirmation of lesions amenable for FNAC/biopsy with the discrepancy between CI and PET
Table 4 Comparison of results between CI and PET-CT

Discussion

The incidence of metastases increases with the size of the primary lesion and the nodal status of the disease. T3 lesions carry more than 15% chance of metastases [1]. Muller reported incidence of metastases in pN1, pN2, and pN3 disease as 3.8%, 21.7%, and 17.6% respectively [2]. Therefore metastatic workup for locally advanced breast cancer is required. The sensitivity and specificity of CI to detect metastases vary from 31 to 92% and 98 to 100% respectively, whereas for PET-CT, reported rates are 76 to 94% and 86 to 94% respectively [3]. The sensitivity and specificity of PET-CT in a meta-analysis by Isaci et al. are reported as 92.7% and 81.6% respectively [4]. The low specificity of PET is due to nonspecific avidity of 18 FDG during PET scans as inflammatory pathology also shows increased uptake of 18-FDG; however, associated findings may guide the examiner towards the probable etiology of the lesion increasing the specificity. Moreover, the fusion of CT with PET scan increases diagnostic accuracy. Tatsumi reported improved diagnostic ability of PET when combined with CT [5]. Table 5 shows these indices among various studies.

Table 5 Sensitivity, specificity, negative, and positive predictive values of conventional imaging and PET-CT scan

PET-CT is 61–100% sensitive and 75–97% specific for detecting axillary lymph node metastases and is not recommended currently to stage axilla in newly diagnosed breast cancer patients [6,7,8]. CT scans can identify axillary lymph nodes in case of significant enlargement but PET-CT can pick these nodes in a very early stage by their glow. Fink and colleagues have shown a low sensitivity of 20% for axillary lymph node detection by PET; however, they included patients with the early disease [9]. A similar low sensitivity was also shown by Wahl et al. and Barringer et al. with similar T stages of the primary [7, 10]. Danforth et al. studied patients from stages I to IV and showed the sensitivity to detect axillary nodal metastases increased from 43% for stages I and II to 83% in stages III and IV [11]. Kumar et al. have demonstrated that smaller tumors and lower tumor grade are associated with false-negative PET results [12]. In our study, CI detected ipsilateral axillary lymph node enlargement in 94.54%, whereas PET-CT showed avidity in 97.26% of patients. The mean tumor size in our study is 6.71 cm (2–15) and all patients are in stage III. This might be a cause of increased detection of axillary lymph nodes by PET-CT. The incidence of internal-mammary lymph nodal enlargement is reported from 11 to 16% in the literature [13, 14]. Large tumor size and inner quadrant locations are said to be the contributing factors in internal-mammary lymph node metastases. In our study, CI identified internal-mammary lymph nodes in 5.4% of patients and PET-CT detected these nodal enlargements in 27.39% patients.

Current guidelines recommend PET-CT as an option for staging locally advanced breast cancer. PET-CT is useful to detect occult metastases that are missed by CI. PET thereby accurately stages the patient and helps to choose the appropriate treatment line. The bone, liver, and lung are the common sites of systemic metastases. Ultrasound is the appropriate imaging to detect liver metastases; however, operator dependence and patient body habitus–related factors decrease its sensitivity. CT scans can also detect most liver metastases. In our study, PET-CT detected liver metastases that were missed in CI. The sensitivity PET-CT to detect liver metastases is reported from as low as few cases to 90%. The low sensitivity of PET might be due to background activity of 18 FDG or motion artifacts which might hamper the detection of avidity in the metastatic site. Pulmonary metastases are often missed in conventional chest X-rays. It has a sensitivity of 28% to detect metastases; moreover, early lesions are difficult to detect. CT scans can detect fairly smaller lesions, but they also have difficulty in differentiating certain benign lesions like granuloma or small pleural-based nodules on conventional cross sections. PET-CT produces promising results in the detection of early lesions. However, motion artifacts sometimes pose difficulty in detecting smaller lesions. It can also complement other investigations in differentiating small pulmonary metastases from other benign conditions.

Skeletal metastases are the most common metastatic lesions in breast cancer and can be osteolytic, osteoblastic, or mixed type. Traditionally, bone scintigraphy is performed using Technetium-99m diphosphonates as this tracer is concentrated in bones. In a study by Nakai et al. comparing visualization rates of bone metastases by bone scintigraphy and PET-CT, the rates of detection of bone scintigraphy for osteoblastic, osteolytic, mixed, and invisible lesions are 100%, 70%, 84.2%, and 25% respectively; however, for PET-CT, similar rates were 55.6%, 100%, 94.7%, and 87.5% respectively [15]. Bone scintigraphy detects osteoblastic metastases more accurately, whereas PET-CT provides favorable results in osteolytic and invisible lesions. Tc99m-labeled diphosphonates accumulate in bone in the mineralization phase, and their activity depends upon the new bone formation rate [16, 17]. It shows positive results in reactive bone-forming state, and this can be confounded by conditions like healing fracture [16]. 18-Flouro-deoxyglucose accumulations occur in metabolically active lytic lesions. The reason for increased detection of the lytic lesion by PET might be due to the hypoxic state in these lesions which causes increased uptake of 18-Flouro-deoxyglucose [18]. Potential benefits of PET-CT over bone scintigraphy are the detection of metabolically active bone marrow lesions and absent avidity in benign lesions which often shows diphosphonate uptake in bone scintigraphy. The relative decreased sensitivity of PET to detect the osteoblastic lesions can be overcome by the fusion of CT which can detect these lesions [17]. In the study by Piccardo et al., comparing 18-flouro-deoxyglucose PET scan with CT scan for bone metastases, PET showed a sensitivity and specificity of 91%, whereas CT had a sensitivity and specificity of 77% and 93%. The combined PET-CT sensitivity and specificity improved to 98% and 93% respectively [19].

The liver is a common site of visceral metastases in breast cancer. In our study, overall PET-CT detected distant metastases in 35 patients as compared to 28 patients by conventional imaging. CT scan detected liver lesions in 8.2% of patients compared to 17.8% of patients with PET-CT. Figure 1 shows a metastatic liver lesion being picked up by PET-CT and missed by CECT. Liver biopsy was done in four patients with PET-detected lesions which were not shown as metastatic in CT scans. All these lesions were proved to be metastatic by histology. In a few liver metastatic lesions, there was a disparity between two imaging and biopsy was attempted but could not be done due to technical difficulty.

Fig. 1
figure 1

Comparison between CT image and PET images to show liver metastases evident only on PET

The glowing character of PET scans is somewhat less reliable in the case of lung lesions due to the constant motion of lung fields. In the case of lung lesions, PET scans fused with CT scans can identify metastatic sites. In our study, CT scans identified 10.95% of patients with lung metastases compared to 19.17% of patients on PET fused with CT scans. PET-CT is instrumental in localizing the occult metastatic lesions leading to increments in stage and change in therapeutic management. On the other hand, it can also rule out metastases sites reported by CI imaging and provide accurate staging. PET-CT aids in providing optimal therapy, appropriate prognostication of the patient, and true categorization of patients’ stage for comparing long-term outcomes.

In a study by Eubank et al. compared to CI, PET-CT upstaged and downstaged the disease in 43% and 24% of patients respectively, and helped in changing the management of 32% of patients [20]. Yap et al. showed a change in therapeutic management in approximately 60% of patients [21]. In another prospective study of 60 patients by Fuster et al., PET-CT changed the initial staging in 42% patients [22].

PET-CT scan compared to CI changed the management in 30% of patients in our study. In 5.4% of patients, the intent of treatment changed from palliative to curative. In 12 (16.43%) patients, PET-CT changed the stage from III to IV. These patients were planned for neoadjuvant chemotherapy based upon CI image findings, but as distant metastases were identified in these patients, the intent of treatment was changed. Although it is costly, PET-CT has the potential to be replaced as a single investigation in staging locally advanced breast cancer patients. It saves precious time spent by multiple hospital visits for conventional investigations.

The strength of the current study lies in the fact that a diagnosis of all doubtful lesions was made in favor of or against metastases by a reasonable follow-up and secondly in the homogenous population of LABC patients, whereas most studies in the past have a varied patient population. A major limitation of this study is that we were not able to provide histologic proof to all metastatic sites due to ethical and logistic reasons.

Conclusion

PET-CT is more accurate then contrast-enhanced CT and bone scintigraphy for staging locally advanced breast carcinoma patients. It can replace multiple organ–directed imaging in staging breast cancer. It can provide accurate staging of the disease so that patients can be prognosticated and can be directed to the most appropriate treatment plans.