Feasibility of FDG PET/CT to monitor the response of axillary lymph node metastases to neoadjuvant chemotherapy in breast cancer patients.

PURPOSE: The aim of this study was to assess the accuracy of (18)F-fluorodeoxyglucose (FDG) positron emission tomography (PET)/CT to visualize lymph node metastases before the start of neoadjuvant chemotherapy and to determine how often the visualization is sufficiently prominent to allow monitoring of the axillary response.
METHODS: Thirty-eight patients with invasive breast cancer of >3 cm and/or lymph node metastasis underwent FDG PET/CT before neoadjuvant chemotherapy. The results of the FDG PET/CT were compared with those from ultrasonography with fine-needle aspiration (FNA) cytology or sentinel node biopsy. Patients suitable for response monitoring of the axilla were defined as having either a maximum standardized uptake value (SUV(max)) >or= 2.5 or a tumour to background ratio >or=5 in the most intense lymph node.
RESULTS: The sensitivity and specificity of FDG PET/CT in detecting axillary involvement were 97 and 100%, respectively. No difference existed between the SUV(max) of the primary tumour and that from the related most intense lymph node metastasis. Moreover, the mean tumour to background ratio was 90% higher in the lymph nodes compared to the primary tumour (p = 0.006). Ninety-three per cent of the patients had sufficient uptake in the lymph nodes to qualify for subsequent response monitoring of the axilla. A considerable distinction in metabolic activity was observed between the different subtypes of breast cancer. The mean SUV(max) in lymph node metastases of oestrogen receptor (ER)-positive, triple-negative and human epidermal growth factor receptor 2 (HER2)-positive tumours was 6.6, 11.6 and 6.6, respectively.
CONCLUSION: The high accuracy in visualizing lymph node metastases and the sufficiently high SUV(max) and tumour to background ratio at baseline suggest that it is feasible to monitor the axillary response with FDG PET/CT, especially in triple-negative tumours.

Introduction

The use of neoadjuvant chemotherapy plays an important role in the treatment of breast cancer. One of the major advantages of neoadjuvant chemotherapy is downstaging of the tumour load. As a result, inoperable advanced tumours may become operable and patients with large operable tumours may be offered breast-conserving surgery (BCS) [1, 2]. Another advantage of neoadjuvant chemotherapy is the possibility to monitor the response of the primary tumour to chemotherapy. Interim evaluation during neoadjuvant chemotherapy creates the opportunity to switch to another regimen in the case of unfavourable response [3]. Furthermore, response monitoring enables and moderates translational research which provides more insight into the behaviour of different tumour subtypes and predictive factors [4, 5].

Response monitoring is crucial in the neoadjuvant setting, as it defines the criteria to switch the chemotherapy regimen or to perform early surgery in insufficiently responding tumours at an early time point. After the administration of chemotherapy, response monitoring enables the evaluation of the extent of the residual tumour to select patients for breast-conserving therapy.

The axillary response after neoadjuvant chemotherapy yields prognostic information. Rouzier et al. showed that after neoadjuvant chemotherapy a complete remission of nodal metastases was a strong predictor of disease-free survival (48.7 versus 73.5% after 5 years) [6]. Early knowledge of the response of axillary lymph node metastases may therefore be helpful to tailor the systemic treatment to individual response. Furthermore, a reliable method to evaluate the axillary tumour response is essential in order to reduce the rate of unnecessary axillary lymph node dissections (ALND), without compromising oncological safety. Patients who achieve a complete remission of their lymph node metastasis could potentially be treated with radiation therapy only. Unfortunately, to date it is not possible to reliably identify these patients. Physical examination and conventional imaging techniques, like MRI and ultrasound, do not have the ability to evaluate the response of axillary lymph node metastasis [7]. Furthermore, the accuracy of the sentinel node procedure after neoadjuvant chemotherapy in patients with proven lymph node metastases remains questionable [8]. At present, the most accurate assessment of the axillary tumour response is an ALND and therefore ‘axilla-conserving therapy’ is not yet among the benefits of neoadjuvant chemotherapy.

Some evidence exists that positron emission tomography (PET)/CT using 18F-fluorodeoxyglucose (FDG) may successfully monitor the response of the primary tumour to neoadjuvant chemotherapy [9-17]. The potential value of FDG PET to assess the response of axillary lymph node metastases to neoadjuvant chemotherapy is, however, currently unknown. The primary aim of this study was to assess the accuracy of FDG PET/CT to visualize lymph node metastases before the start of neoadjuvant chemotherapy. The second aim was to determine how often the visualization is sufficiently prominent to allow monitoring of the axillary response with FDG PET/CT.

Materials and methods

Patients

Women who presented with invasive breast cancer larger than 3 cm in diameter and/or at least one tumour-positive axillary lymph node were scheduled to be treated with neoadjuvant chemotherapy in our institute. Since September 2007 patients were asked to participate in a pilot study to assess the value of FDG PET/CT in the neoadjuvant setting. This study was approved by the Institutional Ethics Committee and informed consent was obtained from all patients.

We analysed 38 patients who had an FDG PET/CT scan before the administration of neoadjuvant chemotherapy. All breast cancers were initially diagnosed by fine-needle aspiration (FNA). Core biopsy was used to determine hormone receptors and human epidermal growth factor receptor 2 (HER2) status and to obtain tumour tissue for expression microarray analysis [5]. The tumour size was assessed with ultrasound, mammography and MRI. Axillary staging was primarily done with ultrasonography and FNA of suspect lymph nodes. In patients with negative lymph nodes (ultrasound and/or FNA cytology negative) a sentinel node biopsy (SNB) procedure was performed prior to neoadjuvant chemotherapy. To assess the presence of distant metastases liver ultrasound, bone scintigraphy and chest X-ray were performed in all patients. Neoadjuvant chemotherapy was followed by BCS or mastectomy. All patients with proven axillary lymph node metastases prior to neoadjuvant chemotherapy underwent an ALND after neoadjuvant chemotherapy. Patients undergoing BCS received radiation to the breast. The indication for loco-regional radiation therapy (chest wall and regional nodal basins) was based on the original staging before neoadjuvant chemotherapy. Hormone receptor-positive patients received adjuvant endocrine treatment for at least 5 years and HER2-positive patients received trastuzumab for 1 year.

FDG PET/CT

The FDG PET/CT scan was performed after conventional imaging of the breast and the axilla. Patients were prepared with a fasting period of 6 h and 10 mg Valium per os 10 min before FDG administration to avoid brown fat activation. Blood glucose levels were required to be <10 mmol/l. Patients received 180–240 MBq FDG intravenously. The interval between FDG administrations and scanning was 60 ± 10 min. A whole-body PET/CT scanner (Gemini TF, Philips, Eindhoven, The Netherlands) was used. FDG PET image acquisition was managed via standardized acquisition procedures. Low-dose CT images (40 mAs, 5-mm slices) without oral or intravenous contrast were acquired for anatomical reference and attenuation correction. First, a 2-mm high-resolution PET/CT was performed of the thorax (including breasts and axilla) with the patient in the prone position with hanging breasts and 3 min per bed position. Second, a whole-body PET/CT was performed from the skull base to the groins, with 1.5 min per bed position and standard image resolution. The administered activity, time of FDG administration and body weight on the day of scanning were recorded for calculation of the tumour maximum standardized uptake value (SUVmax).

Image interpretation

All FDG PET/CT scans were read in consensus by three experienced readers. Visual assessments of locations, extent and intensity of FDG uptake patterns were made. The FDG uptake in the primary tumour and lymph node metastases was analysed semi-quantitatively using the SUVmax and the ratio of the SUVmax to the mean activity in an adjacent sufficiently large area of normal surrounding tissue (tumour to background ratio, TBR). Patients suitable for response monitoring of the axilla were defined as having either an SUVmax ≥ 2.5 or a TBR ≥5 in the most intense lymph node in the axilla.

Statistical analysis

The accuracy of FDG PET/CT to visualize lymph node metastasis was evaluated by comparing the results of the FDG PET/CT with the pathological results (tumour-positive cytology or SNB results). The pathologist was blinded to the FDG PET/CT results. The results were classified as true-positive (TP), true-negative (TN), false-positive (FP) and false-negative (FN). The evaluation of the results was based on the sensitivity [TP/(TP+FN)], specificity [TN/(TN+FP)] and overall accuracy [(TP+TN)/all cases].

The differences in SUVmax and TBRs between the primary tumour and the axillary lymph node metastases were calculated using the paired t test and the Wilcoxon signed rank test. Differences in SUVmax between the different tumour types were calculated using the one-way analysis of variance (ANOVA) test.

Results

A total of 38 patients were included in this study. Patient and tumour characteristics are outlined in Table 1. The mean age of the patients was 49 years (range: 30–68). Most patients had T2 (n = 23) and ductal tumours (n = 31) [18]. Primary tumours were oestrogen receptor (ER)-positive, triple-negative (oestrogen receptor-, progesterone receptor- and HER2-negative) and HER2-positive in 19, 17 and 11 patients, respectively. Twenty-nine patients had suspect lymph nodes on ultrasound with tumour-positive FNA cytology. In one patient only a suspect lymph node in the internal mammary chain was palpable (cN2b) and one patient had a positive subclavicular lymph node (cN3), both confirmed by ultrasound-guided FNA cytology.

Table 1

Patients and tumour characteristics (total n = 38)

		Number	%
Patient age, mean (range)	49 years (30–68)
cT classification	cT0	1	3
	cT1	2	5
	cT2	23	61
	cT3	10	26
	cT4	2	5
cN classification	cN0	9	26
	cN1	27	77
	cN2b	1	3
	cN3	1
Histology	Ductal	31	82
	Lobular	3	8
	Mixed	1	2
	NS	3	8
Receptor status	ER-positive (HER2-negative)	19	51
	Triple-negative (ER-/PR-/HER2-negative)	7	19
	HER2-positive	11	30

NS not specified, ER oestrogen receptor, PR progesterone receptor, HER2 human epidermal growth factor receptor 2

Positive FDG PET

FDG PET/CT showed pathological axillary lymph nodes in 30 patients (86%). In 27 of these 30 patients lymph node metastasis had also been detected with ultrasound and cytology. In one patient with a negative initial ultrasound examination, FDG PET/CT was positive. Ultrasound was subsequently repeated with FNA cytology, confirming a tumour-positive axillary lymph node (Fig. 1). In two patients with negative ultrasound and a positive FDG PET/CT a SNB was done. In one patient the SNB revealed macrometastases in three of four sentinel nodes. In the other patient four lymph nodes were removed during the SNB procedure and they were all tumour-negative. However, follow-up FDG PET/CT images strongly suggested that the suspect lymph nodes were not located in the area of the excised sentinel nodes and had most likely been missed (Fig. 2). We excluded this patient from our accuracy analysis because of uncertainty about the initial lymph node status.

Fig. 1

FDG PET scan of a patient without suspect axillary lymph nodes on initial ultrasound examination and a clear tumour-positive lymph node on FDG PET (arrow). Repeated ultrasound examination with cytology guided by FDG PET/CT images revealed a tumour-positive axillary lymph node

Fig. 2

FDG PET/CT scan of a patient with two FDG PET-positive lymph nodes prior to neoadjuvant chemotherapy. Subsequently, the patient had a negative SNB (a). After the administration of chemotherapy (b) the lymph nodes show complete metabolic response but are still clearly visible on the low-dose CT and were most likely not removed at SNB. These findings suggest that the patient could have a false-negative SNB procedure or a false-positive initial FDG PET/CT

Negative FDG PET

FDG PET/CT showed negative axillary lymph nodes in eight patients. In one patient the FDG PET/CT was false-negative because she had a proven axillary lymph node metastasis by ultrasound-guided FNA cytology. Seven patients had a negative ultrasound examination. Four of these patients also had a tumour-negative SNB. In three patients a SNB was not performed. After neoadjuvant chemotherapy, none of these patients had axillary lymph node metastases in the ALND specimen, but we excluded them from our accuracy analysis because of uncertainty about their initial lymph node status.

Feasibility of monitoring the axillary response

The results are summarized in Fig. 3. Excluding the cases outlined above, 34 patients could be evaluated. The sensitivity to visualize axillary lymph node metastasis was 97% [29/30, 95% confidence interval (CI): 0.83–0.99], the specificity was 100% (4/4, 95% CI: 0.51–1.0) and the overall accuracy was 97% (33/34). Ninety-three per cent (29/31) of the patients had sufficient uptake in the lymph nodes to qualify for subsequent response monitoring of the axilla, an SUVmax ≥ 2.5 or a TBR ≥5.

Fig. 3

FDG PET/CT versus conventional examination of the axilla, showing the accuracy of FDG PET/CT to detect lymph node metastases. The sensitivity to visualize axillary lymph node metastasis was 97% (29/30, 95% CI: 0.83–0.99), the specificity was 100% (4/4, 95% CI: 0.51–1.0) and the overall accuracy was 97% (33/34). *This patient most likely had a false-negative sentinel node and was excluded from the analysis together with the three patients with negative ultrasound-guided cytology and no SNB

Extra-axillary lymph nodes

In 6 of 38 patients (16%) FDG PET/CT showed suspicious uptake in extra-axillary lymph nodes that were not detected by conventional imaging (Table 2). One patient had two FDG PET-suspect lymph nodes, one intrapectoral and one subclavicular, which were not detected by ultrasound examination. In three patients FDG PET/CT indicated additional lymph node metastases in the internal mammary chain, a region that is not routinely assessed with ultrasound. In one patient FDG PET/CT revealed an unknown subclavicular lymph node metastasis and one patient showed pathological uptake in the contralateral axillary lymph nodes.

Table 2

Extra-axillary lymph node metastasis in 38 patients

	Conventional imaging (US/FNA positive)	FDG PET/CT positive
Internal mammary chain	1	4
Subclavicular	1	3
Intrapectoral	–	1
Contralateral	–	1
Total	2 (5%)	9 (24%)

US ultrasound, FNA fine-needle aspiration

Differences between the primary tumour and the lymph node metastasis

The primary tumour could be visualized in 37 of 38 patients. One patient presented with a palpable axillary lymph node and an occult primary tumour that could not be visualized on either FDG PET/CT or MRI. The mean SUVmax of the primary tumours was 6.8 (range: 1.6–18.8, 95% CI: 5.1–8.0), with a mean TBR of 11.3 (range: 2.1–36.0, 95% CI: 8.3–14.3).

Positive lymph nodes (axillary or extra-axillary) were visualized in 31 of the 38 patients. The mean SUVmax of the most active lymph nodes was 7.7 (range: 2.3–26.2, 95% CI: 5.8–9.6). The mean TBR was 23.7 (range: 4.0–93.0, 95% CI: 15.2–32.1). Paired evaluation of the SUVmax of the primary tumour and the related most active lymph node in 30 patients with an active primary tumour and lymph node metastasis showed no difference. Paired evaluation of the TBR showed a significantly higher ratio (2.0) for the lymph nodes (p = 0.006), explained by higher background uptake in the breast due to surrounding glandular tissue.

A considerable distinction in the SUVmax of both the primary tumour and the lymph node metastases was observed between the different subtypes of breast tumours. In ER-positive, triple-negative and HER2-positive tumours the mean SUVmax was 5.4 (95% CI: 3.7–7.1), 11.1 (95% CI: 6.0–16.1) and 5.9 (95% CI: 3.3–8.6), respectively (p = 0.01). In the lymph node metastases the mean SUVmax of ER-positive, triple-negative and HER2-positive tumours was 6.6 (95% CI: 4.7–8.4), 11.6 (95% CI: 5.0–18.2) and 6.6 (95% CI: 2.7–10.6), respectively (p = 0.07).

Discussion

This report describes the accuracy of FDG PET/CT to visualize lymph node metastases in breast cancer before the start of neoadjuvant chemotherapy. The overall accuracy in this selected patient population was high: 97%. In 93% of the patients the lymph nodes showed adequate uptake for subsequent response monitoring of the axilla. Accurate visualization of lymph node metastasis with sufficient signal intensity prior to the administration of neoadjuvant chemotherapy is the first requirement to monitor the axillary response with FDG PET/CT imaging. With this study we showed that it is reasonable to use FDG PET/CT to assess the axillary response.

In our series the sensitivity of FDG PET/CT to visualize lymph node metastases prior to neoadjuvant chemotherapy was 97% (30/31). The sensitivity reported by others varies widely (20–94%) [19]. Studies including patients with more advanced primary tumours, similar to our population, showed a sensitivity of 85% and higher [16, 20]. This high sensitivity can be explained by the high a priori likelihood of (voluminous) lymph node metastases. The sensitivity of FDG PET/CT is lower in patients with early breast cancer and a clinically negative axilla. In a prospective study Veronesi et al. compared preoperative FDG PET imaging with SNB and reported a sensitivity of only 37% [21]. The authors demonstrated that FDG PET was unable to identify micrometastases in the lymph nodes. The low sensitivity and inability to detect micrometastases can be explained by the relatively low spatial resolution of PET imaging, which does not allow detection of the micrometastases found using serial sectioning and immunohistochemistry at pathological assessment of sentinel nodes. Other factors that could influence the sensitivity of FDG PET are intrinsic tumour characteristics like grade and type. There is evidence that sensitivity of FDG PET is higher in certain subgroups. Gil-Rendo et al. showed a sensitivity of 100% to detect lymph node metastasis in a group of patients with grade III malignancy and an SUVmax higher than 3.5 of the primary tumour [22]. Moreover, Veronesi et al. used FDG PET alone while integrated FDG PET/CT can provide both anatomical and metabolic information, which in general provides a better accuracy [23]. Several studies report the superiority of FDG PET/CT compared with that of PET alone [24-26].

In our series the specificity was 100%. This is confirmed in other studies consistently reporting a high specificity ranging from 85 to 100% [19]. These findings suggest that an SNB procedure prior to the start of neoadjuvant chemotherapy may not be necessary if FDG PET/CT shows a positive axillary lymph node, at least in the absence of an apparent inflammatory cause of lymph node activation such as non-malignant mastitis. By omitting the SNB procedure prior to neoadjuvant chemotherapy, the positive axillary lymph node will remain in situ, which will create the opportunity to monitor the axillary response in these patients. In addition, the patient is spared an invasive surgical diagnostic procedure.

Fuster et al. reported that FDG PET/CT is a valuable tool to exclude unsuspected extra-axillary lymph node and distant metastases in patients with large breast cancer [27]. They showed that FDG PET/CT led to a change in initial staging in 42% of patients, although it is critical to note that they did not perform ultrasound assessment combined with cytology of the axillary lymph nodes. In our series, 16% of the patients had suspect extra-axillary lymph node metastases by FGD PET/CT that were not visualized by conventional imaging (ultrasound examination and SNB). A limitation of our study is that no biopsies were taken of these suspect extra-axillary lymph nodes, but the probability of nodal involvement is high based on the reported specificity of FDG PET/CT.

FDG PET/CT may successfully monitor the response of the primary tumour to neoadjuvant chemotherapy. Quantitative FDG PET scans of primary breast cancers showed a rapid and significant decrease in tumour glucose metabolism after effective treatment was initiated, and the reduction in metabolism antedated the decrease in tumour size [11, 17]. Several studies investigated the accuracy of FDG PET to monitor the response to neoadjuvant chemotherapy in breast cancer with reported sensitivity and specificity of 84–100% and 74–94%, respectively [9, 10, 12–16]. These studies are difficult to compare since they use different time points in the course of chemotherapy and different cut-off points in the reduction of the SUV to distinguish responders from non-responders. Overall, it appears that the accuracy of FDG PET to monitor response prediction is high early in the course of therapy. In our study, FDG PET/CT is performed after one cycle of chemotherapy to detect the early response to treatment. However, complete metabolic responders are more likely to occur after a longer course of systemic therapy. Therefore, another scan is performed after the third cycle of chemotherapy. The published studies focused on response monitoring of the primary tumour. No results have been presented yet regarding the value of FDG PET to assess the early response to neoadjuvant chemotherapy of axillary lymph node metastases.

To monitor the early response of axillary lymph node metastases using FDG PET/CT it is crucial to have a sufficiently high baseline SUVmax or TBR at baseline. A low baseline SUVmax can underestimate the subsequent tumour response [10]. McDermott et al. demonstrated that only tumours with an initial TBR of greater than 5 showed a difference between response categories [13]. Three patients in our study had an SUVmax lower than 2.5 in the axillary lymph nodes, and three patients had an SUVmax lower than 2.5 in the primary tumour. The mean TBR was 90% higher in the axilla than in the primary tumour of the breast, which might facilitate the evaluation of the tumour response in the axillary lymph nodes compared to the primary tumour. The baseline SUVmax is higher in triple-negative tumours, which will make them more suitable for response evaluation with FDG PET than ER-positive and HER2-positive tumours.

Early axillary response monitoring may have several clinical implications. It seems reasonable that the response of axillary lymph node metastases to the chemotherapy is highly indicative of the efficiency of chemotherapy, particularly because the aim of chemotherapy is to eliminate micrometastatic disease.

The ultimate goal is to adjust the treatment to the early response of the axillary lymph node metastases. Furthermore, knowledge regarding the axillary response might be used to tailor the surgical treatment of the axilla. FDG PET/CT might select patients with a favourable axillary response for more axillary-conserving therapies, like axillary radiation therapy. Treatment is still required since PET imaging cannot detect axillary microscopic disease [21].

In conclusion, this study shows that lymph node metastases can be visualized using FDG PET/CT with good sensitivity and specificity. In addition, pathological lymph nodes have a sufficiently high baseline SUVmax and TBR at baseline to enable response monitoring, especially in triple-negative tumours. Consequently, monitoring the response of axillary lymph nodes with FDG PET/CT during the early course of treatment may be feasible. Future research will focus on establishing a cut-off point in the therapy-induced change of SUVmax to discriminate nodal responders from non-responders.