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Assessment of residual tumour by FDG-PET: conventional imaging and clinical examination following primary chemotherapy of large and locally advanced breast cancer

This article has been updated

Abstract

Background:

The aim of this was to evaluate FDG-PET (2-(fluorine-18)-fluoro-2-deoxy-D-glucose positron emission tomography) for assessment of residual tumour after primary chemotherapy of large and locally advanced breast cancer in comparison with conventional imaging modalities.

Methods:

In a prospective multicentre trial, 99 patients underwent one or more breast imaging modalities before surgery in addition to clinical examination, namely, FDG-PET (n=89), mammography (n=47), ultrasound (n=46), and magnetic resonance imaging (MRI) (n=46). The presence of residual tumour by conventional imaging, dichotomised as positive or negative, and the level of FDG uptake (standardised uptake values, SUV) were compared with histopathology, which served as the reference standard. Patients with no residual tumour or only small microscopic foci of residual tumour were classified as having minimal residual disease and those with extensive microscopic and macroscopic residual tumour tissue were classified as having gross residual disease.

Results:

By applying a threshold SUV of 2.0, the sensitivity of FDG-PET for residual tumour was 32.9% (specificity, 87.5%) and increased to 57.5% (specificity, 62.5%) at a threshold SUV of 1.5. Conventional imaging modalities were more sensitive in identifying residual tumour, but had a low corresponding specificity; sensitivity and specificity were as follows: MRI 97.6 and 40.0%, mammography 92.5 and 57.1%, ultrasound 92.0 and 37.5%, respectively. Breast MRI provided the highest accuracy (91.3%), whereas FDG-PET had the lowest accuracy (42.7%).

Conclusions:

FDG-PET does not provide an accurate assessment of residual tumour after primary chemotherapy of breast cancer. Magnetic resonance imaging offers the highest sensitivity, but all imaging modalities have distinct limitations in the assessment of residual tumour tissue when compared with histopathology.

Main

An increasing number of breast cancer patients are undergoing pre-operative (neoadjuvant) chemotherapy regimens. Primary systemic chemotherapy frequently reduces the tumour volume, which increases the frequency of successful breast-conserving surgery (van der Hage et al, 2001). Histopathology obtained from breast surgery after completion of chemotherapy serves as the reference standard for evaluation of residual tumour. Patients with no residual invasive tumour have longer disease-free and overall survival rates compared with patients with residual invasive tumour (Feldman et al, 1986; Machiavelli et al, 1998; Kuerer et al, 1999; Wolmark et al, 2001; Valero et al, 2002). However, only 10–25% of breast cancer patients achieve a histopathological complete response after primary systemic therapy (Bonadonna et al, 1998; Fisher et al, 2002; Bear et al, 2006). Other histopathological response classifications combine patients with no residual tumour and those with only small microscopic foci of residual tumour as minimal residual disease (MRD) compared with gross residual disease (GRD), which is defined as extensive residual microscopic or macroscopic tumour.

The accurate pre-operative assessment of residual tumour is important for guiding the surgical approach to ensure negative resection margins and to minimise morbidity. Different response patterns of primary breast tumours have to be taken into account, as some shrink concentrically to a solitary residual mass, whereas others leave scattered microscopic or macroscopic tumours within the tumour bed (Abraham et al, 1996; Partridge et al, 2002). Surgery focussing on the residual mass carries a higher risk of leaving microscopic tumour tissue behind, which may necessitate further surgical interventions or predispose to local recurrences. Conversely, tumours with a pathological complete response (pCR) may have unnecessary large resections of the tumour bed. Therefore, clinical examinations, as well as mammography, ultrasound, and magnetic resonance imaging (MRI), are often used to evaluate the presence and the extent of residual tumour. It has been suggested that positron emission tomography (PET) using the radiolabelled glucose analogue 2-(fluorine-18)-fluoro-2-deoxy-D-glucose (FDG) can be used to assess the extent and localisation of tumour deposits for a large variety of tumours, including breast cancer (Avril et al, 2000; Fletcher et al, 2008; Mahner et al, 2008). In lymphoma patients, FDG-PET has been recommended for routine post-treatment assessment, particularly for the differentiation between viable tumour and fibrosis and scarring in residual masses (Juweid et al, 2007).

The role of imaging modalities for post-chemotherapy assessment of primary breast cancers still needs to be defined. Breast ultrasound, mammography, and clinical examination tend to overestimate the residual tumour volume because of chemotherapy-induced necrosis and fibrosis (Yeh et al, 2005). Magnetic resonance imaging of the breast has been shown to be a sensitive method for visualisation of residual tumour, but the negative predictive value seems to be limited (Abraham et al, 1996; Rieber et al, 2002; Wasser et al, 2003; Denis et al, 2004; Warren et al, 2004; Belli et al, 2006; Segara et al, 2007). There is little information available on the potential role of FDG-PET in the assessment of residual breast cancer following primary chemotherapy.

The aim of our prospective multicentre study was to evaluate FDG-PET for monitoring primary chemotherapy in newly diagnosed large (3 cm) or locally advanced breast cancer. Patients underwent FDG-PET at baseline, after the first and second cycle of chemotherapy and before surgery. We have recently reported our findings regarding the ability of early changes in tumour glucose metabolism to predict treatment response (Schwarz-Dose et al, 2009). In a previous publication, we analysed relative changes in tumour FDG uptake early in the course of neoadjuvant chemotherapy and compared the derived early metabolic tumour response with histopathological response after the completion of chemotherapy (Schwarz-Dose et al, 2009).

The analysis presented in this paper is distinctly different, as it addresses the role of FDG-PET for assessment of residual tumour after completion of pre-operative chemotherapy in comparison with conventional breast imaging modalities (mammography, ultrasound, MRI) and clinical examination. The presence of residual tumour, dichotomised as positive or negative, and the level of FDG uptake (standardised uptake values, SUV) were compared with histopathology, which served as the reference standard. In addition, the size of residual tumour measured by means of conventional breast imaging and assessed by clinical examination was compared with the size obtained from histopathology.

Materials and methods

Patients

Patients with newly diagnosed large (3 cm) or locally advanced (UICC Stage III) non-inflammatory breast cancer, who participated in a prospective, randomised, multicentre trial comparing two regimens of pre-operative chemotherapy (epirubicin and paclitaxel either as standard dose (ET) or dose dense sequential regimen (EP) plus adjuvant cyclophosphamide, methotrexate, and fluorouracil (CMF)), were eligible for a prospective FDG-PET treatment monitoring study (Schwarz-Dose et al, 2009; Untch et al, 2009).

The Universitätsklinikum Hamburg-Eppendorf (UKE), the Ludwig Maximillians Universität München (LMU), and the Technische Universität München (TUM) participated in the FDG-PET study. In these three study centres, 173 patients were recruited into the ET/CMF trial, of whom 104 patients participated in the FDG-PET study. A total of 99 patients had one or more imaging modalities, either FDG-PET, mammography, breast ultrasound, or MRI for pre-operative assessment of residual tumour tissue. Detailed patient characteristics are given in Table 1.

Table 1 Patient characteristics (n=99)

Patients with known diabetes mellitus were not included, in addition to those falling under the exclusion criteria defined for the ET/CMF chemotherapy trial. The study protocol prospectively defined the technical parameters, including timing for FDG-PET imaging and criteria for anatomical and PET image analysis for the participating centres before initiation of the study.

Details of the ET/CMF trial and the option to participate in the evaluation of functional FDG-PET imaging were explained by a gynaecological oncologist and by a nuclear medicine physician. Written informed consent was obtained from all patients. Patients who refused participation in the evaluation of FDG-PET were still eligible for the ET/CMF trial. The study protocol was approved by the local ethical committees of the University Hospitals in Munich and Hamburg. The evaluation of FDG-PET for pre-operative assessment of residual tumour tissue was funded by the Deutsche Krebshilfe.

Neoadjuvant (pre-operative) chemotherapy

The ET/CMF trial compared two regimens: epirubicin plus paclitaxel standard dose and dose dense sequential regimen. The standard dose regimen (ET) consisted of four cycles of epirubicin (90 mg m−2) and paclitaxel (175 mg m−2), given every 3 weeks. The ET dose dense sequential consisted of three cycles of chemotherapy with epirubicin (150 mg m−2) every 2 weeks, followed by three cycles of paclitaxel (250 mg m−2) every 2 weeks, in combination with G-CSF (filgrastim). After completion of chemotherapy, all patients underwent breast-conserving surgery or mastectomy.

Assessment of histopathological residual tumour

Histopathological response was determined as previously described by Honkoop et al (1998). Surgical specimens were cut into 0.5 cm-thick slices and evaluated for the presence of macroscopic tumour. Representative samples were taken from all areas of macroscopically visible tumour and resection margins, as well as from areas with marked fibrosis or scarring. All sections were microscopically analysed for the presence of residual tumour. Immunohistochemical staining with antibodies against cytokeratins was performed on selected sections to identify or verify tumour residues. Complete response (pCR) required additional sampling from macroscopically suspicious and uninvolved areas of the surgical specimens. In addition, the ‘tumour bed’ was identified by signs of tumour regression, such as necrosis, presence of macrophages, or marked fibrosis. Specimens with no residual invasive tumour were classified as having complete histopathological response (pCR). Specimens with only few scattered foci of microscopic residual invasive tumour (2 mm) were classified as having minimal residual disease (pMRD). For the purpose of this analysis, pCR and MRD were summarised in a response category MRD. Gross residual disease comprised tumours showing macroscopic residual tumour or extensive residual tumour infiltration on microscopic examination. The presence of residual ductal in situ carcinoma did not influence the histopathological response assessment.

FDG-PET imaging

Patients fasted for at least 6 h before injection of 280–420 MBq (10 mCi) F-18 FDG. The mean blood glucose level was 101.7±13.6 mg per 100 ml. After an uptake period of 45 min, patients were positioned prone, with both arms at their sides on the scanner couch. A gap in the scanner support ensured no (deformation) compression of the breast. Whole-body PET scanners (ECAT951R/31 (TUM), ECATExact47 (UKE), and ECATExactHR+ (LMU); Siemens, Knoxville, TN, USA) were used. Emission scans of the breast (2D mode), acquired in one bed position, were obtained from 45 to 60 min after tracer injection, followed by a transmission scan with germanium-68 rod sources. Emission data were corrected for random events, dead time, and attenuation; image pixel counts were calibrated to activity–concentration (Bq ml−1) and decay was corrected using the time of tracer injection as reference.

Regions of interest (ROIs) were placed semi-automatically in attenuation-corrected images. The tumour was first identified on pre-treatment FDG-PET and subsequently an ROI was placed in the tumour bed on post-treatment FDG-PET. The slice with the highest radioactivity concentration within the tumour was identified and a circular ROI with a diameter of 1.0 cm was placed in this area and in the directly adjacent slices. Standardised uptake values were calculated using the average (SUVmean) and maximum (SUVmax) activity values within the ROIs, normalised to the injected activity and patient's body weight. Analysis of PET scans was performed without knowledge of the results of other clinical studies.

FDG-PET results were obtained for two SUV thresholds: SUV 2.0 and SUV 1.5. A positive PET result was defined as an SUV equal to and above the threshold level. A negative PET result was defined as an SUV below the threshold level. Histopathology served as reference standard, as described above.

To assess a potential influence of the timing of FDG-PET imaging after completion of chemotherapy, the mean and standard deviations were compared for SUVs obtained before and after 7, 14, 21, and 28 days after the last day of chemotherapy.

Conventional breast imaging

After completion of primary chemotherapy and before surgery, the study protocol of the ET/CMF trial included at least one conventional imaging procedure, namely, mammography, breast ultrasound, and/or MRI. Investigations were performed in the same manner as routine clinical imaging procedures and were analysed by experienced radiologists. The results were dichotomised as positive or negative for the presence of residual tumour. In the case of a positive result, the lesions were measured in at least two dimensions. These data were documented in the case record form at the time of imaging and no retrospective analysis has been performed.

In brief, for mammographic assessment, cranio-caudal and lateral-oblique views of both breasts were acquired, with additional compression and lateral views as required. Identified lesions were measured in bi-directional maximum dimension. Ultrasound was performed of all four quadrants of the breast. For MRI, multisequence and multiplanar images of both breasts were obtained before and after administration of intravenous contrast using appropriate breast coils. The maximum length of enhancing lesions was measured in transverse, coronal, and sagittal planes.

Physical examination of the breast

All patients were assessed by physical examination by the gynaecological oncologist before surgery. The tumour-involved breast was assessed by palpation. In concordance with anatomical imaging, results were dichotomised as positive or negative for the presence of residual tumour.

Statistical analysis

Data collection was centralised in one study centre (UKE). The detection of residual tumour by physical examination, conventional imaging or the level of FDG uptake above the threshold SUV was defined as a positive test result. Histopathological evaluation of residual tumour served as the reference, and the rate of true and false positive test results, as well as the sensitivity, specificity, and positive and negative predictive values were calculated accordingly. The Mann–Whitney test was used to compare quantitative parameters between groups of patients. Spearman's rank correlation coefficient (ρ) was used to describe correlations between quantitative parameters. Quantitative parameters are expressed as mean±one standard deviation (s.d.). All statistical tests were performed two-sided at a 5% level of significance.

Results

A total of 99 out of 104 patients who participated in the FDG-PET monitoring study had at least one imaging procedure after completion of chemotherapy before surgery, in addition to clinical examination, namely, FDG-PET (n=89), mammography (n=47), ultrasound (n=46), and MRI (n=46). A total of 17 patients had MRD and 82 patients showed GRD on histopathological assessment. Out of 17 patients with MRD, two had initially positive margins after surgery; one achieved tumour-free margins after a second resection, and the other patient underwent mastectomy due to extensive ductal in situ carcinoma (DCIS). Five patients with MRD underwent mastectomy: two patients due to extensive DCIS, one due to a large residual mass at the time of surgery, and two on the basis of patient preference.

FDG-PET imaging

In all, 89 patients underwent pre-operative FDG-PET imaging of the breast. Standardised uptake values calculated for maximum and average activity values within a tumour ROI showed a close correlation (ρ=0.91). The SUVmax was used for subsequent analysis. Out of 89 patients, 16 (18.0%) had MRD and 73 patients (82.0%) had GRD in histopathology. The mean of the SUVmax in MRD was 1.4±0.7 compared with 1.8±0.9 in GRD. The difference was statistically significant (P=0.01).

We assessed two specific SUV thresholds for identifying residual tumour. By applying a threshold SUV of 2.0, 26 FDG-PET studies were positive (SUV 2.0) and 63 were negative for residual tumour. However, 49 studies were false negative by using this threshold, resulting in a sensitivity of 32.9% of FDG-PET to detect residual tumour, with a corresponding specificity of 87.5%. When applying a threshold SUV of 1.5, the sensitivity to detect residual tumour increased to 57.5% (specificity 62.5%).

We also assessed whether the level of FDG uptake was influenced by the time interval between the last cycle of chemotherapy and FDG-PET imaging. Pre-operative FDG-PET imaging in all 89 patients was performed 16.4±6.4 days after the last cycle of neoadjuvant chemotherapy, before surgery. The mean SUV of all primary breast carcinomas after the last cycle of chemotherapy was 1.7±0.9. There was no statistically significant difference in the level of FDG uptake in patients who underwent FDG-PET imaging within 7, 14, 21, or 28 days after completion of chemotherapy (P>0.3).

Mammography

A total of 47 patients underwent pre-operative mammography. Out of these 47 patients, 7 (14.9%) had MRD and 40 patients (85.1%) had GRD in histopathology. A total of 40 patients showed residual tumour on mammography and 7 were negative for residual tumour. The sensitivity of mammography to detect residual tumour was 92.5% and specificity was 57.1%. Three mammographies were false positive, of which two cases showed masses of 1 and 2.5 cm on mammography and no or MRD of less than 1 mm in histopathology. One patient had a residual mass of 8 cm on mammography and no residual invasive tumour but extensive in situ carcinoma in the histopathological specimen. Mammography was false negative in three cases, which histopathologically showed residual invasive tumours between 2.5 and 7.5 cm. The detailed results are summarised in Table 2.

Table 2 Assessment of residual tumour after completion of primary systemic chemotherapy

Breast ultrasound

A total of 58 patients underwent pre-operative breast ultrasound. Out of 58 patients, 8 (13.8%) had MRD and 50 patients (86.2%) had GRD in histopathology. A total of 51 breast ultrasound studies were positive, of which five were false positive. Ultrasound of the breast showed residual tumour masses between 0.4 and 3.3 cm in five patients who had no or MRD in histopathology. Only one of these five false-positive cases had residual in situ carcinoma. Breast ultrasound was true negative in three patients and false negative in four cases, which histopathologically showed residual ductal invasive carcinoma of 0.5 and 2.5 cm in two cases and residual lobular invasive carcinoma of 7.5 cm in one case. The sensitivity of the ultrasound to detect residual tumour was 92.0%, with a corresponding specificity of 37.5%. When comparing anatomical imaging modalities, the ultrasound had the highest rate of false-positive results (62.5%) and the lowest overall accuracy (89.7%) in detecting residual tumour after completion of chemotherapy. The results are summarised in Table 2.

Breast MRI

A total of 46 patients underwent pre-operative MRI of the breast. Of these 46 patients, 5 (10.9%) had MRD and 41 patients (89.1%) had GRD in histopathology. In all, 43 breast MRI studies were positive for residual tumour, of which three were false positive. These three patients showed residual masses between 0.4 and 2 cm on breast MRI and had no or MRD in histopathology. However, two of these three patients had residual in situ carcinoma in histopathology. One breast MRI study was false negative and had residual ductal invasive carcinoma of 2.5 cm in histopathology. The breast MRI detected residual tumour with a sensitivity of 97.6% and a specificity of 40.0%. When comparing all imaging modalities, MRI had the highest overall accuracy of 91.3% for identifying residual tumour. The results are summarised in Table 2.

Tumour size assessed by conventional imaging vs histopathology

The tumour size as assessed by mammography, breast MRI, and breast ultrasound showed a low correlation with histopathological tumour size (ρ-values 0.27, 0.43, and 0.50, respectively). Comparing the different imaging modalities with each other showed a reasonable correlation for mammography vs MRI (ρ=0.83; n=20), mammography vs ultrasound (ρ=0.78; n=41), and MRI vs ultrasound (ρ=0.82; n=24).

One patient with a residual tumour of 7.5 cm, which was neither detected by mammography nor by ultrasound, had a lobular invasive carcinoma. Another patient who had a residual tumour of 2.5 cm, which was not detected by mammography, ultrasound, or MRI, had a ductal invasive carcinoma. In an additional eight patients with lobular invasive carcinoma, residual tumour was detected by either mammography, ultrasound, or MRI.

Physical examination of the breast

All 99 patients underwent a physical examination of the breast before surgery. The presence or absence of residual tumour was assessed by palpation. A total of 83 patients were positive for residual tumour, of which 8 cases were false positive. These eight patients were estimated to have residual tumours between 1 and 5 cm by physical examination and showed no or MRD in histopathology. Two of these eight patients had residual carcinoma in situ. Physical breast examination was false negative in seven patients, which histopathologically showed residual invasive tumours between 2.5 and 7.5 cm. The sensitivity and specificity of the physical examination to detect residual tumour were 91.5 and 52.9%, respectively. When comparing all imaging modalities, physical examination had the highest rate of false-negative results (8.5%) in identifying residual tumour. The results are summarised in Table 2.

Discussion

Our prospective multicentre trial showed that breast MRI provided the highest sensitivity (97.6%) for identifying residual tumour after completion of primary chemotherapy compared with mammography, ultrasound, and clinical examination. However, the corresponding specificity for abnormal masses identified on MRI was low (40%). Previous reports have suggested that breast MRI is more accurate for assessment of residual tumour than conventional imaging (Denis et al, 2004; Warren et al, 2004; Yeh et al, 2005; Bhattacharyya et al, 2008). Nevertheless, these studies also revealed that MRI was prone to underestimate the extent of small residual tumour in up to 39% of patients (Denis et al, 2004; Warren et al, 2004; Yeh et al, 2005). This might partially be explained by tumour regression with residual scattered viable tumour cells within normal or necrotic tissue. In our study, MRI was less accurate in predicting complete pathological response or MRD with a negative predictive value of only 66.7%, which is an important limitation. This underlines that surgery cannot be obviated on the basis of results from imaging procedures. This is in line with a previous report of 45 patients, in which microscopic residual disease was found in 95% of patients who had a complete response in breast MRI (Belli et al, 2006). A recent review of evidence-based clinical applications for breast MRI suggested that contrast-enhanced dynamic MRI might be more suitable for differentiating between fibrosis and viable residual tumour (DeMartini and Lehman, 2008). In addition, a comparison with baseline MRI obtained before initiation of therapy might improve the accuracy of assessing residual tumour.

When comparing conventional imaging modalities, ultrasound had the highest rate of false-positive findings, with a specificity of only 37.5%. A distinct limitation of mammography and breast ultrasound is the differentiation between viable tumour and post-treatment changes such as scarring and fibrosis when a residual mass is present. Both extensive fibrosis and residual DCIS accounted for the high rate of false-positive results in conventional imaging, which ranged in our study between 42.9 and 62.5%.

We found a poor correlation between tumour sizes assessed by pre-operative imaging compared with histopathological tumour size. This is in contrast to previous reports, which found correlation coefficients ranging from 0.70 to 0.98 for MRI (Esserman et al, 1999; Partridge et al, 2002; Rosen et al, 2003; Wasser et al, 2003; Martincich et al, 2004). However, a recent retrospective review of neoadjuvant chemotherapy trials from the MD Anderson Cancer Center also found a poor agreement between tumour size measurements by mammography or ultrasound and histopathology (Chagpar et al, 2006). The authors concluded that there is no evidence that mammography or ultrasound performs better than physical examination for measuring residual disease after chemotherapy (Chagpar et al, 2006). In fact, the large prospective trials of neoadjuvant chemotherapy to date, NSABP-18 and NSABP-27, have not incorporated imaging for assessing residual tumour before surgery, but have relied on physical examination (Wolmark et al, 2001; Bear et al, 2006). In our study, physical examination of the breast before surgery was equally effective for the detection of residual tumour with a sensitivity of 91.5% and a corresponding specificity of 52.9%.

An important aspect of primary systemic chemotherapy in breast cancer is the low rate of complete pathological responses ranging from 10 to 25% (Bonadonna et al, 1998; van der Hage et al, 2001; Fisher et al, 2002). In our study, 17 out of 99 patients (17%) had MRD or a complete absence of tumour residues on histopathological examination. The majority of patients (83%) had GRD. This setting favours conventional imaging procedures, which might in part explain sensitivities to detect residual masses in the range of 90% for mammography, ultrasound, and MRI. However, the limited specificity between 37.5% for breast ultrasound and 57.1% for mammography reveals that there are no specific criteria established for the further characterisation of residual abnormalities as benign or malignant.

The metabolic activity of residual masses after systemic therapy, assessed by FDG-PET, was found to be a clinically applicable surrogate marker for treatment efficacy in a variety of settings. However, a small series of breast cancer patients who had achieved a good clinical response after primary chemotherapy revealed less-promising results (Burcombe et al, 2002). None of the patients presented with increased FDG uptake at the primary tumour site before surgery, but 9 out of 10 patients had residual invasive carcinoma on histopathology, ranging from 2 to 20 mm in size. We found a significantly lower FDG uptake after chemotherapy in MRD (SUV 1.4±0.7) compared with GRD (SUV 1.8±0.9).

Subsequently, two defined thresholds of FDG uptake, SUV >1.5 and SUV >2.0, were assessed for identification of residual tumour. FDG-PET provided the highest specificity among all imaging modalities: 62.5% using a threshold SUV >1.5 and 87.5% for a threshold SUV >2.0. By applying these criteria, the sensitivity was only 32.9 and 57.5%, respectively. The low sensitivity could be partially attributed to the limited spatial resolution of FDG-PET, which is in the range of 4–6 mm. However, other factors such as ‘metabolic stunning’ of residual viable tumour tissue after chemotherapy might have also contributed to the low detection rate. It is noteworthy that we found no influence on the level of FDG uptake depending on the time interval between the last cycle of chemotherapy and FDG-PET imaging. According to the study protocol, patients should undergo surgery within 4–6 weeks after the last cycle of chemotherapy and only six patients had surgery more than 28 days after chemotherapy. Response criteria developed for lymphoma patients by an International Harmonization Project (IHP) recommend a wait of 6–8 weeks after the last cycle of chemotherapy to assess treatment response (Juweid et al, 2007). However, this would be difficult in the setting of primary chemotherapy in breast cancer in which subsequent surgery is an integral part of the multimodality treatment plan. Conversely, the time interval between the last cycle of chemotherapy and surgery might also affect histopathology findings, which serve as the reference standard. One could hypothesise that prompt surgery might identify histopathological residual tumour tissue, which is already determined to undergo apoptosis and would not have been detected at later time points. FDG-PET is frequently used with great success for post-treatment assessment in the metastatic setting, including in breast cancer (Mahner et al, 2008; Avril et al, 2009). The metabolic information from FDG-PET generally provides a reliable marker of tumour viability and treatment response, and has been validated in several trials using clinical follow-up and survival as reference. Our results in the setting of primary chemotherapy using histopathology as reference are to some extent in contrast to these observations. The inability of FDG-PET to identify small tumour deposits may have contributed to the low accuracy of FDG-PET in our study.

In lymphoma, the level of FDG uptake after systemic therapy was found to carry prognostic information (Spaepen et al, 2003; Juweid et al, 2007). Whether metabolically inactive residual breast cancer patients (42.5% of patients using a SUV threshold >1.5) carry a better prognosis compared with patients with metabolically active residual tumours remains to be determined. A comparison of FDG-PET results with disease-free and overall survival is required once outcome data become available to evaluate whether FDG-PET may help to further stratify the group of patients with residual disease after chemotherapy.

The question arises regarding the role of imaging procedures after primary systemic therapy of primary breast cancer. Pre-operative imaging would ideally provide the following information: (i) accurate differentiation between responder and non-responder; (ii) localisation and extent of residual tumour; and (iii) prognostic information, for example, for further treatment stratification. We showed that residual tumour size assessed after completion of neoadjuvant chemotherapy by mammography, breast MRI, and breast ultrasound showed only a weak correlation with histopathological tumour size assessment. No current imaging modality can exclude the presence of microscopic tumour residues; therefore, surgery and a subsequent histopathological evaluation of the surgical specimen cannot be obviated. Thus, the main use of pre-operative imaging is to guide surgical treatment planning. Complete histopathological response (pCR) is defined as the absence of invasive tumour and may therefore include patients with residual DCIS. However, the presence of residual DCIS needs to be taken into account while defining the extent of surgery, but DCIS cannot be reliably identified and distinguished from regressive changes either by conventional imaging or by FDG-PET. Health-care cost is also an important consideration while applying imaging procedures, although no convincing evidence exists as yet of their benefits outside clinical trials. However, in a recent study, 84% out of 31 patients were identified by MRI as potentially suitable candidates for breast conservation after chemotherapy. Of them, breast conservation was achieved in 90.5% and the low rate (9.5%) of re-operation for positive resection margins indicates a potential role of breast MRI in surgical treatment planning in selected cases (Bhattacharyya et al, 2008).

Certain limitations of our study need to be taken into account. Not all patients underwent all imaging procedures, as the study protocol only included at least one conventional imaging procedure at completion of chemotherapy before surgery. The results were dichotomised as positive or negative for the presence of residual tumour and one could have developed a more sophisticated analysis. However, we believe that this approach reduced the potential influence of multiple observers, which is unavoidable in a prospective multicentre trial.

In conclusion, FDG-PET does not allow for an accurate assessment of residual tumour after primary chemotherapy of breast cancer. Magnetic resonance imaging offers the highest sensitivity, but all imaging modalities have distinct limitations in the assessment of residual tumour tissue when compared with histopathology.

Change history

  • 16 November 2011

    This paper was modified 12 months after initial publication to switch to Creative Commons licence terms, as noted at publication

References

  1. Abraham DC, Jones RC, Jones SE, Cheek JH, Peters GN, Knox SM, Grant MD, Hampe DW, Savino DA, Harms SE (1996) Evaluation of neoadjuvant chemotherapeutic response of locally advanced breast cancer by magnetic resonance imaging. Cancer 78: 91–100

    CAS  Article  Google Scholar 

  2. Avril N, Rose CA, Schelling M, Dose J, Kuhn W, Bense S, Weber W, Ziegler S, Graeff H, Schwaiger M (2000) Breast imaging with positron emission tomography and fluorine-18 fluorodeoxyglucose: use and limitations. J Clin Oncol 18: 3495–3502

    CAS  Article  Google Scholar 

  3. Avril N, Sassen S, Roylance R (2009) Response to therapy in breast cancer. J Nucl Med 50 (Suppl 1): 55S–63S

    CAS  Article  Google Scholar 

  4. Bear HD, Anderson S, Smith RE, Geyer Jr CE, Mamounas EP, Fisher B, Brown AM, Robidoux A, Margolese R, Kahlenberg MS, Paik S, Soran A, Wickerham DL, Wolmark N (2006) Sequential preoperative or postoperative docetaxel added to preoperative doxorubicin plus cyclophosphamide for operable breast cancer: National Surgical Adjuvant Breast and Bowel Project Protocol B-27. J Clin Oncol 24: 2019–2027

    CAS  Article  Google Scholar 

  5. Belli P, Costantini M, Malaspina C, Magistrelli A, Latorre G, Bonomo L (2006) MRI accuracy in residual disease evaluation in breast cancer patients treated with neoadjuvant chemotherapy. Clin Radiol 61: 946–953

    CAS  Article  Google Scholar 

  6. Bhattacharyya M, Ryan D, Carpenter R, Vinnicombe S, Gallagher CJ (2008) Using MRI to plan breast-conserving surgery following neoadjuvant chemotherapy for early breast cancer. Br J Cancer 98: 289–293

    CAS  Article  Google Scholar 

  7. Bonadonna G, Valagussa P, Brambilla C, Ferrari L, Moliterni A, Terenziani M, Zambetti M (1998) Primary chemotherapy in operable breast cancer: eight-year experience at the Milan Cancer Institute. J Clin Oncol 16: 93–100

    CAS  Article  Google Scholar 

  8. Burcombe RJ, Makris A, Pittam M, Lowe J, Emmott J, Wong WL (2002) Evaluation of good clinical response to neoadjuvant chemotherapy in primary breast cancer using [18F]-fluorodeoxyglucose positron emission tomography. Eur J Cancer 38: 375–379

    CAS  Article  Google Scholar 

  9. Chagpar AB, Middleton LP, Sahin AA, Dempsey P, Buzdar AU, Mirza AN, Ames FC, Babiera GV, Feig BW, Hunt KK, Kuerer HM, Meric-Bernstam F, Ross MI, Singletary SE (2006) Accuracy of physical examination, ultrasonography, and mammography in predicting residual pathologic tumor size in patients treated with neoadjuvant chemotherapy. Ann Surg 243: 257–264

    Article  Google Scholar 

  10. DeMartini W, Lehman C (2008) A review of current evidence-based clinical applications for breast magnetic resonance imaging. Top Magn Reson Imaging 19: 143–150

    Article  Google Scholar 

  11. Denis F, Desbiez-Bourcier AV, Chapiron C, Arbion F, Body G, Brunereau L (2004) Contrast enhanced magnetic resonance imaging underestimates residual disease following neoadjuvant docetaxel based chemotherapy for breast cancer. Eur J Surg Oncol 30: 1069–1076

    CAS  Article  Google Scholar 

  12. Esserman L, Hylton N, Yassa L, Barclay J, Frankel S, Sickles E (1999) Utility of magnetic resonance imaging in the management of breast cancer: evidence for improved preoperative staging. J Clin Oncol 17: 110–119

    CAS  Article  Google Scholar 

  13. Feldman LD, Hortobagyi GN, Buzdar AU, Ames FC, Blumenschein GR (1986) Pathological assessment of response to induction chemotherapy in breast cancer. Cancer Res 46: 2578–2581

    CAS  PubMed  PubMed Central  Google Scholar 

  14. Fisher ER, Wang J, Bryant J, Fisher B, Mamounas E, Wolmark N (2002) Pathobiology of preoperative chemotherapy: findings from the National Surgical Adjuvant Breast and Bowel (NSABP) protocol B-18. Cancer 95: 681–695

    Article  Google Scholar 

  15. Fletcher JW, Djulbegovic B, Soares HP, Siegel BA, Lowe VJ, Lyman GH, Coleman RE, Wahl R, Paschold JC, Avril N, Einhorn LH, Suh WW, Samson D, Delbeke D, Gorman M, Shields AF (2008) Recommendations on the use of 18F-FDG PET in oncology. J Nucl Med 49: 480–508

    Article  Google Scholar 

  16. Honkoop AH, van Diest PJ, de Jong JS, Linn SC, Giaccone G, Hoekman K, Wagstaff J, Pinedo HM (1998) Prognostic role of clinical, pathological and biological characteristics in patients with locally advanced breast cancer. Br J Cancer 77: 621–626

    CAS  Article  Google Scholar 

  17. Juweid ME, Stroobants S, Hoekstra OS, Mottaghy FM, Dietlein M, Guermazi A, Wiseman GA, Kostakoglu L, Scheidhauer K, Buck A, Naumann R, Spaepen K, Hicks RJ, Weber WA, Reske SN, Schwaiger M, Schwartz LH, Zijlstra JM, Siegel BA, Cheson BD (2007) Use of positron emission tomography for response assessment of lymphoma: consensus of the Imaging Subcommittee of International Harmonization Project in Lymphoma. J Clin Oncol 25: 571–578

    Article  Google Scholar 

  18. Kuerer HM, Newman LA, Smith TL, Ames FC, Hunt KK, Dhingra K, Theriault RL, Singh G, Binkley SM, Sneige N, Buchholz TA, Ross MI, McNeese MD, Buzdar AU, Hortobagyi GN, Singletary SE (1999) Clinical course of breast cancer patients with complete pathologic primary tumor and axillary lymph node response to doxorubicin-based neoadjuvant chemotherapy. J Clin Oncol 17: 460–469

    CAS  Article  Google Scholar 

  19. Machiavelli MR, Romero AO, Perez JE, Lacava JA, Dominguez ME, Rodriguez R, Barbieri MR, Romero Acuna LA, Romero Acuna JM, Langhi MJ, Amato S, Ortiz EH, Vallejo CT, Leone BA (1998) Prognostic significance of pathological response of primary tumor and metastatic axillary lymph nodes after neoadjuvant chemotherapy for locally advanced breast carcinoma. Cancer J Sci Am 4: 125–131

    CAS  PubMed  Google Scholar 

  20. Mahner S, Schirrmacher S, Brenner W, Jenicke L, Habermann CR, Avril N, Dose-Schwarz J (2008) Comparison between positron emission tomography using 2-[fluorine-18]fluoro-2-deoxy-D-glucose, conventional imaging and computed tomography for staging of breast cancer. Ann Oncol 19: 1249–1254

    CAS  Article  Google Scholar 

  21. Martincich L, Montemurro F, De Rosa G, Marra V, Ponzone R, Cirillo S, Gatti M, Biglia N, Sarotto I, Sismondi P, Regge D, Aglietta M (2004) Monitoring response to primary chemotherapy in breast cancer using dynamic contrast-enhanced magnetic resonance imaging. Breast Cancer Res Treat 83: 67–76

    Article  Google Scholar 

  22. Partridge SC, Gibbs JE, Lu Y, Esserman LJ, Sudilovsky D, Hylton NM (2002) Accuracy of MR imaging for revealing residual breast cancer in patients who have undergone neoadjuvant chemotherapy. AJR Am J Roentgenol 179: 1193–1199

    Article  Google Scholar 

  23. Rieber A, Brambs HJ, Gabelmann A, Heilmann V, Kreienberg R, Kuhn T (2002) Breast MRI for monitoring response of primary breast cancer to neo-adjuvant chemotherapy. Eur Radiol 12: 1711–1719

    CAS  Article  Google Scholar 

  24. Rosen EL, Blackwell KL, Baker JA, Soo MS, Bentley RC, Yu D, Samulski TV, Dewhirst MW (2003) Accuracy of MRI in the detection of residual breast cancer after neoadjuvant chemotherapy. AJR Am J Roentgenol 181: 1275–1282

    Article  Google Scholar 

  25. Schwarz-Dose J, Untch M, Tiling R, Sassen S, Mahner S, Kahlert S, Harbeck N, Lebeau A, Brenner W, Schwaiger M, Jaenicke F, Avril N (2009) Monitoring primary systemic therapy of large and locally advanced breast cancer by using sequential positron emission tomography imaging with [18F]fluorodeoxyglucose. J Clin Oncol 27: 535–541

    Article  Google Scholar 

  26. Segara D, Krop IE, Garber JE, Winer E, Harris L, Bellon JR, Birdwell R, Lester S, Lipsitz S, Iglehart JD, Golshan M (2007) Does MRI predict pathologic tumor response in women with breast cancer undergoing preoperative chemotherapy? J Surg Oncol 96: 474–480

    Article  Google Scholar 

  27. Spaepen K, Stroobants S, Verhoef G, Mortelmans L (2003) Positron emission tomography with [(18)F]FDG for therapy response monitoring in lymphoma patients. Eur J Nucl Med Mol Imaging 30: 23

    Article  Google Scholar 

  28. Untch M, Mobus V, Kuhn W, Muck BR, Thomssen C, Bauerfeind I, Harbeck N, Werner C, Lebeau A, Schneeweiss A, Kahlert S, von Koch F, Petry KU, Wallwiener D, Kreienberg R, Albert US, Luck HJ, Hinke A, Janicke F, Konecny GE (2009) Intensive dose-dense compared with conventionally scheduled preoperative chemotherapy for high-risk primary breast cancer. J Clin Oncol 27: 2938–2945

    Article  Google Scholar 

  29. Valero V, Buzdar AU, McNeese M, Singletary E, Hortobagyi GN (2002) Primary chemotherapy in the treatment of breast cancer: the University of Texas MD Anderson Cancer Center experience. Clin Breast Cancer 3 (Suppl 2): S63–S68

    Article  Google Scholar 

  30. van der Hage JA, van de Velde CJ, Julien JP, Tubiana-Hulin M, Vandervelden C, Duchateau L (2001) Preoperative chemotherapy in primary operable breast cancer: results from the European Organization for Research and Treatment of Cancer trial 10902. J Clin Oncol 19: 4224–4237

    CAS  Article  Google Scholar 

  31. Warren RM, Bobrow LG, Earl HM, Britton PD, Gopalan D, Purushotham AD, Wishart GC, Benson JR, Hollingworth W (2004) Can breast MRI help in the management of women with breast cancer treated by neoadjuvant chemotherapy? Br J Cancer 90: 1349–1360

    CAS  Article  Google Scholar 

  32. Wasser K, Klein SK, Fink C, Junkermann H, Sinn HP, Zuna I, Knopp MV, Delorme S (2003) Evaluation of neoadjuvant chemotherapeutic response of breast cancer using dynamic MRI with high temporal resolution. Eur Radiol 13: 80–87

    CAS  Article  Google Scholar 

  33. Wolmark N, Wang J, Mamounas E, Bryant J, Fisher B (2001) Preoperative chemotherapy in patients with operable breast cancer: nine-year results from National Surgical Adjuvant Breast and Bowel Project B-18. J Natl Cancer Inst Monogr 30: 96–102

    Article  Google Scholar 

  34. Yeh E, Slanetz P, Kopans DB, Rafferty E, Georgian-Smith D, Moy L, Halpern E, Moore R, Kuter I, Taghian A (2005) Prospective comparison of mammography, sonography, and MRI in patients undergoing neoadjuvant chemotherapy for palpable breast cancer. AJR Am J Roentgenol 184: 868–877

    Article  Google Scholar 

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Acknowledgements

This study was generously funded by the Deutsche Krebshilfe (Mildred Scheel Stiftung).

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Correspondence to N Avril.

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Dose-Schwarz, J., Tiling, R., Avril-Sassen, S. et al. Assessment of residual tumour by FDG-PET: conventional imaging and clinical examination following primary chemotherapy of large and locally advanced breast cancer. Br J Cancer 102, 35–41 (2010). https://doi.org/10.1038/sj.bjc.6605427

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Keywords

  • breast cancer
  • primary systemic therapy
  • FDG-PET
  • breast imaging
  • assessment of treatment response

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