Accuracy of mammography and echography versus clinical palpation in the assessment of response to primary chemotherapy in breast cancer patients with operable disease

Clinical, Radiometabolic and Immunologic Effects of Olaparib in Locally Advanced Triple Negative Breast Cancer: The OLTRE Window of Opportunity Trial

INTRODUCTION

Olaparib is effective in metastatic triple negative breast cancer (TNBC) carrying germline mutations in DNA damage repair (DDR) genes BRCA1/2 (gBRCA-mut). The OLTRE window-of-opportunity trial preliminarily investigated potential pathologic, radiometabolic and immune biomarkers of early-response to olaparib in gBRCA-wild-type (wt) TNBC and, as proof-of-concept in gBRCA-mut HER2-negative BC.

METHODS

Patients received olaparib for 3 weeks (3w) before standard neoadjuvant chemotherapy and underwent multiple FDG18-PET/CT scan (basal, after olaparib), clinical assessments (basal, every 3w), tumor biopsies and blood samplings (baseline, after olaparib). Clinical and radiometabolic responses were evaluated according to RECIST1.1 and PERCIST criteria.

RESULTS

27 patients with gBRCA-wt TNBC and 8 with gBRCA-mut BC (6 TNBC, 2 HR+/HER2-negative) were enrolled. Three (11.1%) patients showed mutations in non-BRCA1/2 DDR genes and 4 (14.8%) in other genes. 3w olaparib induced 16/35 and 15/27 partial clinical and radiometabolic responses, including in 40.7% and 50.0% gBRCA-wt patients. gBRCA-mut tumors presented numerically higher tumor-infiltrating lymphocytes (TILs) levels and PD-L1 positive tumors. Clinical responders experienced a reduction in T-regs/T-eff ratio (p=0.05), B and NK lymphocytes (p=0.003 both), with an average increase in T-helpers rate (p<0.001) and CD4/CD8 ratio (p=0.02). Ki67% and TILs did not vary significantly (p=0.67 and p=0.77). A numerical increase in PD-L1 positive cases after olaparib was observed, though non-significant (p=0.134). No differences were observed according to gBRCA status and type of response.

CONCLUSIONS

Early-stage TNBC might be a target population for olaparib, irrespective of gBRCA mutations. Future trials should combine TILs, PD-L1 and gBRCA status to better identify candidates for escalated/de-escalated treatment strategies including olaparib.

Development of nomograms to predict axillary lymph node status in breast cancer patients

BACKGROUND

Prediction of axillary lymph node (ALN) status preoperatively is critical in the management of breast cancer patients. This study aims to develop a new set of nomograms to accurately predict ALN status.

METHODS

We searched the National Cancer Database to identify eligible female breast cancer patients with profiles containing critical information. Patients diagnosed in 2010-2011 and 2012-2013 were designated the training (n = 99,618) and validation (n = 101,834) cohorts, respectively. We used binary logistic regression to investigate risk factors for ALN status and to develop a new set of nomograms to determine the probability of having any positive ALNs and N2-3 disease. We used ROC analysis and calibration plots to assess the discriminative ability and accuracy of the nomograms, respectively.

RESULTS

In the training cohort, we identified age, quadrant of the tumor, tumor size, histology, ER, PR, HER2, tumor grade and lymphovascular invasion as significant predictors of ALNs status. Nomogram-A was developed to predict the probability of having any positive ALNs (P_any) in the full population with a C-index of 0.788 and 0.786 in the training and validation cohorts, respectively. In patients with positive ALNs, Nomogram-B was developed to predict the conditional probability of having N2-3 disease (P_con) with a C-index of 0.680 and 0.677 in the training and validation cohorts, respectively. The absolute probability of having N2-3 disease can be estimated by P_any*P_con. Both of the nomograms were well-calibrated.

CONCLUSIONS

We developed a set of nomograms to predict the ALN status in breast cancer patients.

Feasibility of spatial frequency-domain imaging for monitoring palpable breast lesions

In breast cancer diagnosis and therapy monitoring, there is a need for frequent, noninvasive disease progression evaluation. Breast tumors differ from healthy tissue in mechanical stiffness as well as optical properties, which allows optical methods to detect and monitor breast lesions noninvasively. Spatial frequency-domain imaging (SFDI) is a reflectance-based diffuse optical method that can yield two-dimensional images of absolute optical properties of tissue with an inexpensive and portable system, although depth penetration is limited. Since the absorption coefficient of breast tissue is relatively low and the tissue is quite flexible, there is an opportunity for compression of tissue to bring stiff, palpable breast lesions within the detection range of SFDI. Sixteen breast tissue-mimicking phantoms were fabricated containing stiffer, more highly absorbing tumor-mimicking inclusions of varying absorption contrast and depth. These phantoms were imaged with an SFDI system at five levels of compression. An increase in absorption contrast was observed with compression, and reliable detection of each inclusion was achieved when compression was sufficient to bring the inclusion center within ∼12  mm of the phantom surface. At highest compression level, contrasts achieved with this system were comparable to those measured with single source-detector near-infrared spectroscopy.

Relevance of Pathological Complete Response after Neoadjuvant Therapy for Breast Cancer

Breast cancer is a heterogeneous disease, and the different biological subtypes have different prognostic impacts. Neoadjuvant trials have recently become popular as they offer several advantages compared to traditional adjuvant trials. Studies have shown that patients who achieve pathological complete response (pCR) after neoadjuvant treatment have a better long-term outcome. Consequently, increasing the rate of pCR became the end point of neoadjuvant trials with the expectation of translation into improved survival. However, the definition of pCR has lacked uniformity, and the prognostic impact of achievement of pCR on survival in different breast cancer subtypes is uncertain. In this review, we present the controversies associated with the use of pCR as an end point in neoadjuvant trials.

Standardizing of Pathology in Patients Receiving Neoadjuvant Chemotherapy

The use of neoadjuvant systemic therapy for the treatment of breast cancer patients is increasing. Pathologic response in the form of pathologic complete response (pCR) and grading systems of partial response, such as the residual cancer burden (RCB) system, gives valuable prognostic information for patients and is used as a primary endpoint in clinical trials. The breast cancer and pathology communities are responding with efforts to standardize pathology in patients receiving neoadjuvant chemotherapy. In this review, we summarize the challenges that postneoadjuvant systemic therapy surgical specimens pose and how pathologists and the multidisciplinary team can work together to optimize handling of these specimens. Multidisciplinary communication is essential. A single, standardized approach to macroscopic and microscopic pathologic examination makes it possible to provide reliable response information. This approach employs a map of tissue sections to correlate clinical, gross, microscopic, and imaging findings in order to report the presence of pCR (ypT0 ypN0 and ypT0/is ypN0) versus residual disease, the ypT and ypN stage using the current AJCC/UICC staging system, and the RCB.

Does change in microcalcifications with neoadjuvant treatment correlate with pathological tumour response?

AIM

To determine whether change in microcalcification density and extent after neoadjuvant treatment (NAT) can predict tumour response.

MATERIALS AND METHODS

This single-institution, retrospective study included all women with breast cancer who underwent NAT between 1 January 2008 and 31 December 2014, and fulfilled the following criteria: mammography before NAT with pathological microcalcifications, mammography performed after NAT, and tumour resection at Tel-Aviv Sourasky Medical Center. Correlation was made between mammography features and clinicopathological information.

RESULTS

Fifty-four patients met the inclusion criteria. Post-NAT, the number of calcifications remained stable in 30 (55.5%) patients, decreased in 23 (42.6%) patients, and increased in one (1.9%) patient. Patients with a decreased number of malignant calcifications post-NAT had higher rates of pathological complete response compared to patients with no change (59% versus 20%, p=0.009). Patients with triple negative and human epidermal growth factor receptor 2 (HER2) receptor subtypes had higher rates of decreased number of calcifications post-NAT (50% versus 35%) and pathological complete response (57% versus 11%, p=0.007) compared to patients with luminal receptor subtype. In addition, patients who received a combination of chemotherapy and biological treatment had more cases of decreased number of calcifications compared to patients who received chemotherapy alone (56% versus 39%). No significant correlation was observed between calcification change post-NAT and calcification morphology or distribution pattern.

CONCLUSIONS

Patients with breast carcinoma and decreased number of pathological calcifications post-NAT had higher rates of pathological complete response compared to patients with no change in calcifications; however, a substantial number of patients with complete pathological response had no change in microcalcification distribution with treatment, questioning the need to completely excise all calcifications post-NAT.

Diagnosis of pathological complete response to neoadjuvant chemotherapy in breast cancer by minimal invasive biopsy techniques

Background:

Neoadjuvant chemotherapy (NACT) is widely used as an efficient breast cancer treatment. Ideally, a pathological complete response (pCR) can be achieved. Up to date, there is no reliable way of predicting a pCR. For the first time, we explore the ability of minimal invasive biopsy (MIB) techniques to diagnose pCR in patients with clinical complete response (cCR) to NACT in this study. This question is of high clinical relevance because a reliable pCR prediction could have direct implications for clinical practice.

Methods:

In all, 164 patients were included in this review-board approved, multicenter pooled analysis of prospectively assembled data. Core-cut (CC)-MIB or vacuum-assisted (VAB)-MIB were performed after NACT and before surgery. Negative predictive values (NPV) and false-negative rates (FNR) to predict a pCR in surgical specimen (diagnose pCR through MIB) were the main outcome measures.

Results:

Pathological complete response in surgical specimen was diagnosed in 93 (56.7%) cases of the whole cohort. The NPV of the MIB diagnosis of pCR was 71.3% (95% CI: (63.3% 79.3%)). The FNR was 49.3% (95% CI: (40.4% 58.2%)). Existence of a clip marker tended to improve the NPV (odds ratio 1.98; 95% CI: (0.81; 4.85)). None of the mammographically guided VABs (n=16) was false-negative (FNR 0%, NPV 100%).

Conclusions:

Overall accuracy of MIB diagnosis of pCR was insufficient to suggest changing clinical practice. However, subgroup analyses (mammographically guided VABs) suggest a potential capacity of MIB techniques to precisely diagnose pCR after NACT. Representativity of MIB could be a crucial factor to be focused on in further analyses.

The role of mammographic calcification in the neoadjuvant therapy of breast cancer imaging evaluation

Introduction

Investigate the patterns of mammographically detected calcifications before and after neoadjuvant chemotherapy (NACT) to determine their value for efficacy evaluation and surgical decision making.

Methods

187 patients with malignant mammographic calcifications were followed to record the appearances and changes in the calcifications and to analyze their responses to NACT.

Results

Patients with calcifications had higher rates of hormonal receptor (HR) positive tumors (74.3% versus 64.6%) and HER2 positive tumors (51.3% versus 33.4%, p = 0.004) and a similar pathologic complete response (pCR) rate compared to patients without calcifications (35.4% versus 29.8%). After NACT, the range of calcification decreased in 40% of patients, increased in 7.5% and remained stable in 52.5%; the calcification density decreased in 15% of patients, increased in 7.5% and remained stable in 77.5%; none of these change patterns were related to tumor response rate. No significant correlation was observed between the calcification appearance (morphology, distribution, range, diameter or density) and tumor subtypes or pCR rates. Among patients with malignant calcifications, 54 showed calcifications alone, 40 occurred with an architectural distortion (AD) and 93 with a mass. Calcifications were observed inside the tumor in 44% of patients and outside in 56%, with similar pCR rates and patterns of change.

Conclusions

Calcification appearance did not clearly change after NACT, and calcification patterns were not related to pCR rate, suggesting that mammogram may not accurate to evaluate tumor response changes. Microcalcifications visible after NACT is essential for determining the extent of excision, patients with calcifications that occurred outside of the mass still had the opportunity for breast conservation.

Imaging breast cancer response during neoadjuvant systemic therapy

Neoadjuvant systemic therapy is used to enable breast-conserving surgery in patients with large primary operable breast cancers. It is important to be able to accurately assess response to systemic therapy, both to assist the surgeon and for prognostic purposes. Moreover, a proportion of women will fail to respond to treatment and would potentially benefit from either a change in therapy or earlier surgery rather than continuing completion of the planned course of treatment. Conventional techniques of assessing response (clinical examination, x-ray mammography and breast ultrasound) rely on changes in tumor size, which are often delayed and do not always correlate with pathologic response. This review examines the evidence for functional imaging techniques including scintimammography, functional computed tomography, dynamic magnetic resonance imaging, spectroscopy and positron emission tomography. These techniques measure changes in tumor vasculature, metabolism or proliferation and may prove to be earlier and more sensitive measures of response to systemic therapy, thus enabling tailoring of an individual's treatment.

Comparison of WHO and RECIST criteria for evaluation of clinical response to chemotherapy in patients with advanced breast cancer

When patients with advanced breast cancer (ABC) are treated with neoadjuvant chemotherapy (NACT), efficacy is monitored by the extent of tumor shrinkage. Since their publication in 1981, World Health Organization (WHO) guidelines have been widely practiced in clinical trials and oncologic practice, for standardized tumor response evaluation. With advances in cancer treatment and tumor imaging, a simpler criterion based on one-dimensional rather than bi-dimensional (WHO) tumor measurement, named Response Evaluation Criteria in Solid Tumors (RECIST) was introduced in 2000. Both approaches have four response categories: complete response, partial response, stable disease and progressive disease (PD). Bi-dimensional measurement data of 151 patients with ABC were analysed with WHO and RECIST criteria to compare their response categories and inter criteria reproducibility by Kappa statistics. There was 94% concordance and 9/151 patients were re-categorized with RECIST including 6/12 PD cases. RECIST therefore under-estimates and delays diagnosis of PD. This is undesirable because it may delay or negate switch over to alternate therapy. Analysis was repeated with a new criteria named RECIST-Breast (RECIST-B), with a lower threshold for PD (≥10% rather than ≥20% increase of RECIST). This showed higher concordance of 97% with WHO criteria and re-categorization of only 4/151 patients (1/12 PD cases). RECIST-B criteria therefore have advantages of both ease of measurement and calculations combined with excellent concordance with WHO criteria, providing a practical clinical tool for response evaluation and offering good comparison with past and current clinical trials of NACT using WHO guidelines.

Increased pathological complete response rate after a long-term neoadjuvant letrozole treatment in postmenopausal oestrogen and/or progesterone receptor-positive breast cancer

Background:

The objective of this study was to determine the optimal scheduling of 2.5 mg daily letrozole in neoadjuvant breast cancer patients to obtain pathological complete response (pathCR) and assess Ki-67 expression as an early predictor of response.

Patients and methods:

This single institution study comprised 120 oestrogen receptor (ER)-positive postmenopausal women with primary breast cancer (clinical stage ⩾T2, N0–1), from three sequential cohorts (cohort A of 40, cohort B of 40 and cohort C of 40 patients, respectively) based on different duration of the neoadjuvant letrozole. Biological markers such as ER, progesterone receptor, HER2 and Ki-67 expression were tested at diagnosis and at definitive surgery.

Results:

A total of 89 patients (75.4%) achieved an objective response with 44 (37.3%) clinical CRs and 45 (38.1%) partial responses. The clinical CRs were significantly observed in cohort C (23 out of 40 patients, 57.5%) and B (16 out of 38 patients, 42.1%) compared with cohort A (5 out of 40 patients, 12.5%) (P-value for trend <0.001). Letrozole induced a similar significant reduction in Ki-67 index after treatment in all cohorts. The pathCR rate was significantly more frequent in cohort C (7 out of 40 patients, 17.5%) than in cohort A (1 out of 40 patients, 2.5%) and B (2 out of 40 patients, 5.0%) (P-value for trend <0.04).

Conclusion:

One-year neoadjuvant letrozole therapy leads to a higher pathCR rate and may be the optimal length of drug exposure.

Correlation between the proportion of breast volume involved by locally advanced tumors and invasion of the skin and posterior structures

AIM: To evaluate any differences between the percentages of involved breast volume, pathologic attributes, and tumor marker expression of T3 and T4a-c tumors in locally advanced breast cancers (BC).

METHODS: All patients with T3N > 0 and T4a-c BC without evidence of distant metastasis (M0), presenting to the Breast Clinic from 1980 to 2010, were examined to determine whether their BC’s involved ≥ 50% of their breast volumes, defined by gross replacement of at least one hemisphere. Core needle biopsy or post-mastectomy specimens from tumors involving a known percent of breast volume were evaluated for: (1) pathological grades and lympho-vascular invasion (LVI); (2) hormone receptor (ER/PR) expression > 0; and (3) epidermoid growth factor 2 (her2) over-expression (3+) by immune-histochemical staining or fluorescent in situ hybridization.

RESULTS: The data base included 98 patients with T3N> 0 M0 and 120 with T4a-c, any N disease, M0 disease. T3 tumor masses involved 50% or more of the breast in 23/98 (24%), and T4a-c tumors 65/120 (54%) (P < 0.001). Only 1% of T3 tumors and 23% of T4a-c tumors presented with total breast replacement. There were no significant differences between the pathological attributes and marker expression of the T3 and T4a-c tumors.

CONCLUSION: These data suggest that erosion of the overlying skin or underlying chest wall by some BC may be due to neglect and delay, rather than inherent biological aggressiveness.

Magnetic resonance imaging and spectroscopy: how useful is it for prediction and prognosis?

MRI/MRS can produce information on over 40 physico-chemical parameters regarded as biomarkers of structural, functional or metabolic significance. Though of undisputed worth in the detection of macroscopic lesions or of metabolic derangements, MRI's use in prognosis and prediction has not been so extensively studied. Serial studies can be performed to show early pre-clinical changes in biomarkers caused by disease progression or therapy, such as the adverse effect on heart function of certain cancer therapies. It can utilise various haemodynamic measures to predict the evolution of stroke and so help justify certain interventions. Changes in cerebral metabolite concentrations or the volumes of brain sub-structures can be used as objective measures of drug response in psychiatric conditions. However care must be exercised as MR can sometimes be considered 'too sensitive' as it often detects real abnormalities even in asymptomatic volunteers, the actual predictive significance of which have yet to be fully assessed.

Color Doppler ultrasonography for treatment response prediction and evaluation in breast cancer

Primary systemic therapy is a well-established modality of treatment in locally advanced breast cancer. Assessment of tumor response to chemotherapy not only helps in assessing the efficacy of the regimen used but also predicts the overall outcome of the patient. The tumor vascularity is a surrogate marker of tumor burden and this can be readily assessed by color Doppler ultrasound using various indices (resistivity index, pulsatility index and maximum flow velocity). The pre- and post-chemotherapy indices can be compared with in order assess the response to chemotherapy. Among various imaging modalities, MRI and PET have the highest sensitivity in detecting the tumor response, but they are not cost effective. Color Doppler ultrasound is a promising alternative for tumor response assessment owing to its availability, reproducibility and cost–effectiveness.

Is radiotherapy an option for early breast cancers with complete clinical response after neoadjuvant chemotherapy?

PURPOSE

To determine whether the exclusive use of radiotherapy (ERT) could be a treatment option after complete clinical response (cCR) to neoadjuvant chemotherapy (NCT) for early breast cancer (EBC).

METHODS AND MATERIALS

Between 1985 and 1999, 1,477 patients received NCT for EBC considered too large for primary conservative surgery. Of 165 patients with cCR, 65 patients were treated with breast surgery (with radiotherapy) and 100 patients were treated with ERT.

RESULTS

The two groups were comparable in terms of baseline characteristics, except for larger initial tumor sizes in the ERT group. There were no significant differences in overall, disease-free and metastasis-free survival rates. Five-year and 10-year overall survival rates were 91% and 77% in the no-surgery group and 82% and 79% in the surgery group, respectively (p = 0.9). However, a nonsignificant trend toward higher locoregional recurrence rates (LRR) was observed in the no-surgery group (31% vs. 17% at 10 years; p = 0.06). In patients with complete responses on mammography and/or ultrasound, LRR were not significantly different (p = 0.45, 10-year LRR: 21% in surgery vs. 26% in ERT). No significant differences were observed in terms of the rate of cutaneous, cardiac, or pulmonary toxicities.

CONCLUSIONS

Surgery is a key component of locoregional treatment for breast cancers that achieved cCR to NCT.

Accuracy of ultrasonography and mammography in predicting pathologic response after neoadjuvant chemotherapy for breast cancer

BACKGROUND

Neoadjuvant chemotherapy reduces tumor size before surgery in women with breast cancer. The aim of this study was to assess the ability of mammography and ultrasound to predict residual tumor size following neoadjuvant chemotherapy.

METHODS

In a retrospective review of consecutive breast cancer patients treated with neoadjuvant chemotherapy, residual tumor size estimated by diagnostic imaging was compared with residual tumor size determined by surgical pathology.

RESULTS

One hundred ninety-two patients with 196 primary breast cancers were studied. Of 104 tumors evaluated by both imaging modalities, ultrasound was able to size 91.3%, and mammography was able to size only 51.9% (chi(2)P < .001). Ultrasound also was more accurate than mammography in estimating residual tumor size (62 of 104 [59.6%] vs 33 of 104 [31.7%], P < .001). There was little difference in the ability of mammography and ultrasound to predict pathologic complete response (receiver operating characteristic, 0.741 vs 0.784).

CONCLUSIONS

Breast ultrasound was more accurate than mammography in predicting residual tumor size following neoadjuvant chemotherapy. The likelihood of a complete pathologic response was 80% when both imaging modalities demonstrated no residual disease.

Evaluation of breast tumor response to neoadjuvant chemotherapy with tomographic diffuse optical spectroscopy: case studies of tumor region-of-interest changes

PURPOSE

To evaluate two methods of summarizing tomographic diffuse optical spectroscopic (DOS) data through region-of-interest (ROI) analysis to differentiate complete from incomplete responses in patients with locally advanced breast cancer undergoing neoadjuvant treatment and to estimate the standard deviations of these methods for power analysis of larger study designs in the future.

MATERIALS AND METHODS

Subjects participating in the HIPAA-compliant imaging study, approved by the institutional review board, provided written informed consent and were compensated for their examination participation. Seven of 16 cases in women with complete study data were analyzed by using both fixed- and variable-size (full-width-at-half-maximum) ROI measures of the DOS total hemoglobin concentration (Hb(T)), blood oxygen saturation, water fraction, optical scattering amplitude, and scattering power in the ipsilateral and contralateral breasts. Postsurgical histopathologic analysis was used to categorize patients as having a complete or incomplete treatment response.

RESULTS

Average normalized change in Hb(T) was the only DOS parameter to show significant differences (P < or = .05) in the pathologic complete response (pCR) and pathologic incomplete response (pIR) outcomes in seven patients. Mean values of the changes for fixed-size ROIs were -64.2% +/- 50.8 (standard deviation) and 16.9% +/- 38.2 for the pCR and pIR groups, respectively, and those for variable-size ROIs were -96.7% +/- 91.8, and 14.1% +/- 26.7 for the pCR and pIR groups, respectively.

CONCLUSION

Tomographic DOS may provide findings predictive of therapeutic response, which could lead to superior individualized patient treatment.

SUPPLEMENTAL MATERIAL

http://radiology.rsnajnls.org/cgi/content/full/2522081202/DC1.

Dynamic contrast-enhanced MRI for prediction of breast cancer response to neoadjuvant chemotherapy: initial results

OBJECTIVE

The aim of this study was to establish changes in contrast-enhanced MRI of breast cancer during neoadjuvant chemotherapy that are indicative of pathology outcome.

MATERIALS AND METHODS

In 54 patients with breast cancer, dynamic contrast-enhanced MRI was performed before chemotherapy and after two chemotherapy cycles. Imaging was correlated with final histopathology. Multivariate analysis with cross-validation was performed on MRI features describing kinetics and morphology of contrast uptake in the early and late phases of enhancement. Receiver operating characteristic (ROC) analysis was used to develop a guideline that switches patients at high risk for incomplete remission to a different chemotherapy regimen while maintaining first-line therapy in 95% of patients who are not at risk (i.e., high specificity).

RESULTS

Change in largest diameter of late enhancement during chemotherapy was the single most predictive MRI characteristic for tumor response in multivariate analysis (A(z) [area under the ROC curve] = 0.73, p < 0.00001). Insufficient (< 25%) decrease in largest diameter of late enhancement during chemotherapy was most indicative of residual tumor at final pathology. Using this criterion, the fraction of unfavorable responders indicated by MRI was 41% (22/54). Approximately half (44%, 14/32) of the patients who showed favorable response at MRI achieved complete remission at pathology. Conversely, 95% (21/22) of patients who showed unfavorable response at MRI had residual tumor at pathology.

CONCLUSION

Reduction of less than 25% in largest diameter of late enhancement during neoadjuvant chemotherapy shows the potential to predict residual tumor after therapy with high specificity.

Early changes in functional dynamic magnetic resonance imaging predict for pathologic response to neoadjuvant chemotherapy in primary breast cancer

PURPOSE

Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) allows noninvasive, in vivo measurements of tissue microvessel perfusion and permeability. We examined whether DCE-MRI done after two cycles of neoadjuvant chemotherapy could predict final clinical and pathologic response in primary breast cancers.

EXPERIMENTAL DESIGN

Thirty-seven patients with primary breast cancer, due to receive six cycles of neoadjuvant 5-fluorouracil, epirubicin and cyclophosphamide chemotherapy, were examined using DCE-MRI before neoadjuvant chemotherapy and after two cycles of treatment. Changes in DCE-MRI kinetic parameters (K(trans), k(ep), v(e), MaxGd, rBV, rBF, MTT) were correlated with the final clinical and pathologic response to neoadjuvant chemotherapy. Test-retest variability was used to determine individual patient response.

RESULTS

Twenty-eight patients were evaluable for response (19 clinical responders and 9 nonresponders; 11 pathologic responders and 17 nonresponders). Changes in the DCE-MRI kinetic parameters K(trans), k(ep), MaxGd, rBV, and rBF were significantly correlated with both final clinical and pathologic response (P < 0.01). Change in K(trans) was the best predictor of pathologic nonresponse (area under the receiver operating characteristic curve, 0.93; sensitivity, 94%; specificity, 82%), correctly identifying 94% of nonresponders and 73% of responders. Change in MRI-derived tumor size did not predict for pathologic response.

CONCLUSION

Changes in breast tumor microvessel functionality as depicted by DCE-MRI early on after starting anthracycline-based neoadjuvant chemotherapy can predict final clinical and pathologic response. The ability to identify nonresponders early may allow the selection of patients who may benefit from a therapy change.

Doppler ultrasound scoring to predict chemotherapeutic response in advanced breast cancer

Background

Doppler ultrasonography (US) is increasingly being utilized as an imaging modality in breast cancer. It is used to study the vascular characteristics of the tumor. Neoadjuvant chemotherapy is the standard modality of treatment in locally advanced breast cancer. Histological examination remains the gold standard to assess the chemotherapy response. However, based on the color Doppler findings, a new scoring system that could predict histological response following chemotherapy is proposed.

Methods

Fifty cases of locally advanced infiltrating duct carcinoma of the breast were studied. The mean age of the patients was 44.5 years. All patients underwent clinical, Doppler and histopathological assessment followed by three cycles of CAF (Cyclophosphamide, Adriamycin and 5-Fluorouracil) chemotherapy, repeat clinical and Doppler examination and surgery. The resected specimens were examined histopathologically and histological response was correlated with Doppler findings. The Doppler characteristics of the tumor were graded as 1–4 for <25%, 25–50%, >50% and complete disappearance of flow signals respectively. A cumulative score was calculated and compared with histopathological response. Results were analyzed using Chi square test, sensitivity, specificity, positive and negative predictive values.

Results

The maximum Doppler score according to the proposed scoring system was twelve and minimum three. Higher scores corresponded with a more favorable histopathological response. Twenty four patients had complete response to chemotherapy. Sixteen of these 24 patients (66.7%) had a cumulative Doppler score more than nine. The sensitivity of cumulative score >5 was 91.7% and specificity was 38.5%. The area under the ROC curve of the cumulative score >9 was 0.72.

Conclusion

Doppler scoring can be accurately used to objectively predict the response to chemotherapy in patients with locally advanced breast cancer and it correlates well with histopathological response.

Doctor, what are my chances of having a positive sentinel node? A validated nomogram for risk estimation

PURPOSE

Lymph node metastasis is a multifactorial event. Several variables have been described as predictors of lymph node metastasis in breast cancer. However, it is difficult to apply these data-usually expressed as odds ratios-to calculate the probability of sentinel lymph node (SLN) metastasis for a specific patient. We developed a user-friendly prediction model (nomogram) based on a large data set to assist in predicting the presence of SLN metastasis.

PATIENTS AND METHODS

Clinical and pathologic features of 3,786 sequential SLN biopsy procedures were assessed with multivariable logistic regression to predict the presence of SLN metastasis in breast cancer. The model was subsequently applied to 1,545 sequential SLN biopsies. A nomogram was created from the logistic regression model. A computerized version of the nomogram was developed and is available on the Memorial Sloan-Kettering Cancer Center (New York, NY) Web site.

RESULTS

Age, tumor size, tumor type, lymphovascular invasion, tumor location, multifocality, and estrogen and progesterone receptors were associated with SLN metastasis in multivariate analysis. The nomogram was accurate and discriminating, with an area under the receiver operating characteristic curve of 0.754 when applied to the validation group.

CONCLUSION

Newly diagnosed breast cancer patients are increasingly interested in information about their disease. This nomogram is a useful tool that helps physicians and patients to accurately predict the likelihood of SLN metastasis.

Accuracy of the Combination of Mammography and Sonography in Predicting Tumor Response in Breast Cancer Patients After Neoadjuvant Chemotherapy

BACKGROUND

Residual tumor size after neoadjuvant chemotherapy is an important consideration in surgical planning. We examined the accuracy of the combination of mammography and sonography in predicting pathologic residual tumor size.

METHODS

Tumor size was evaluated by physical examination, mammography, and sonography at diagnosis and before surgery in 162 breast cancer patients who received neoadjuvant chemotherapy. Agreement between the predicted and the pathologic responses and the predicted and the pathologic tumor sizes was calculated. The effect of invasive lobular carcinoma, high nuclear grade, hormone receptor positivity, and the presence of an extensive intraductal component on the accuracy of mammography and sonography in predicting pathologic residual tumor size was analyzed.

RESULTS

Forty-two patients (25.9%) had a pathologic complete response (pCR). Overall agreement between predicted and pathologic responses was 53% for physical examination, 67% for mammography plus sonography, and 63% for physical examination plus mammography and sonography. The sensitivity of mammography and sonography in predicting pCR was 78.6%, and the specificity was 92.5%; the accuracy was 88.9%. Residual tumor size determined by mammography and sonography correlated with pathologic residual tumor size (r = .662); pathologic tumor size was within .5 cm of predicted in 69.1% of patients. Multivariate analysis showed that pathologic residual tumor size was underestimated for lobular carcinoma and overestimated for poorly differentiated tumors.

CONCLUSIONS

The combination of mammography and sonography has a high accuracy in predicting pCR after neoadjuvant chemotherapy. Agreement of residual tumor size in mammography and sonography with pathologic residual tumor size was moderate.

Prediction of Clinicopathologic Response of Breast Cancer to Primary Chemotherapy at Contrast-enhanced MR Imaging: Initial Clinical Results

PURPOSE

To prospectively document changes in contrast agent kinetics in patients with primary breast cancer treated with systemic chemotherapy after one or two cycles and to determine whether kinetic measures can be used to predict final clinicopathologic response.

MATERIALS AND METHODS

Institutional committees on clinical research and ethics approval and patient consent were obtained. Dynamic magnetic resonance (MR) examinations were performed in 25 women with primary breast cancer before treatment and after the first (n = 21) and second (n = 15) cycle of neoadjuvant chemotherapy. Kinetic parameters (transfer constant, leakage space, and rate constant) were derived for whole tumor regions of interest. Changes in histogram distributions of pixel data (median value and range) and MR imaging-derived size were correlated with final clinical and histologic response by using nonparametric methods. Receiver operating characteristic (ROC) analysis of tumor size and transfer constant changes were used to identify patients in whom no benefit was gained from chemotherapy.

RESULTS

After the first cycle of treatment, 12 of 14 clinical responders showed decreases in tumor size, and six of seven nonresponders showed increases or no change in tumor size (P < .001). Transfer constant changes did not differ between responders and nonresponders for either clinical or pathologic assessments. After two cycles of treatment, there were tumor size increases in five of six nonresponders compared with decreases in eight of nine responders (P < .001). Reductions in transfer constant range were also observed in responders for both clinical and pathologic assessments (P = .008 and .02, respectively). No other kinetic parameter change predicted response. Size and transfer constant range were equally accurate for predicting the absence of pathologic response after two cycles of treatment (sensitivity, specificity, and area under ROC curve were 100%, 90%, and 0.93, respectively, for size and 100%, 75%, and 0.94, respectively, for transfer constant range).

CONCLUSION

Reductions in MR imaging-determined size of the primary tumor best predict clinicopathologic response of breast cancer after one cycle of neoadjuvant chemotherapy. Transfer constant and size changes are equally sensitive in the identification of patients who would gain no clinical or pathologic benefit after two cycles of treatment.

Accuracy of physical examination, ultrasonography, and mammography in predicting residual pathologic tumor size in patients treated with neoadjuvant chemotherapy

OBJECTIVE

To assess the accuracy of physical examination, ultrasonography, and mammography in predicting residual size of breast tumors following neoadjuvant chemotherapy.

BACKGROUND

Neoadjuvant chemotherapy is an accepted part of the management of stage II and III breast cancer. Accurate prediction of residual pathologic tumor size after neoadjuvant chemotherapy is critical in guiding surgical therapy. Although physical examination, ultrasonography, and mammography have all been used to predict residual tumor size, there have been conflicting reports about the accuracy of these methods in the neoadjuvant setting.

METHODS

We reviewed the records of 189 patients who participated in 1 of 2 protocols using doxorubicin-containing neoadjuvant chemotherapy, and who had assessment by physical examination, ultrasonography, and/or mammography no more than 60 days before their surgical resection. Size correlations were performed using Spearman rho analysis. Clinical and pathologic measurements were also compared categorically using the weighted kappa statistic.

RESULTS

Size estimates by physical examination, ultrasonography, and mammography were only moderately correlated with residual pathologic tumor size after neoadjuvant chemotherapy (correlation coefficients: 0.42, 0.42, and 0.41, respectively), with an accuracy of +/-1 cm in 66% of patients by physical examination, 75% by ultrasonography, and 70% by mammography. Kappa values (0.24-0.35) indicated poor agreement between clinical and pathologic measurements.

CONCLUSION

Physical examination, ultrasonography, and mammography were only moderately useful for predicting residual pathologic tumor size after neoadjuvant chemotherapy.

Evaluation of ER, PgR, HER-2 and Ki-67 as predictors of response to neoadjuvant anthracycline chemotherapy for operable breast cancer

Primary systemic therapy (PST) for operable breast cancer enables the identification of in vivo biological markers that predict response to treatment. A total of 118 patients with T2–4 N0–1 M0 primary breast cancer received six cycles of anthracycline-based PST. Clinical and radiological response was assessed before and after treatment using UICC criteria. A grading system to score pathological response was devised. Diagnostic biopsies and postchemotherapy surgical specimens were stained for oestrogen (ER) and progesterone (PgR) receptor, HER-2 and cell proliferation (Ki-67). Clinical, radiological and pathological response rates were 78, 72 and 38%, respectively. There was a strong correlation between ER and PgR staining (P<0.0001). Higher Ki-67 proliferation indices were associated with PgR− tumours (median 28.3%, PgR+ 22.9%; P=0.042). There was no relationship between HER-2 and other biological markers. No single pretreatment or postchemotherapy biological parameter predicted response by any modality of assessment. In all, 10 tumours changed hormone receptor classification after chemotherapy (three ER, seven PgR); HER-2 staining changed in nine cases. Median Ki-67 index was 24.9% before and 18.1% after treatment (P=0.02); the median reduction in Ki-67 index after treatment was 21.2%. Tumours displaying >75% reduction in Ki-67 after chemotherapy were more likely to achieve a pathological response (77.8 vs 26.7%, P=0.004).

In vivo chemosensitivity-adapted preoperative chemotherapy in patients with early-stage breast cancer: the GEPARTRIO pilot study

BACKGROUND

Response to the first two cycles of preoperative chemotherapy might differentiate subgroups of breast cancer patients with high or minimal chances for a pathologic complete response (pCR) and may be used as an in vivo chemosensitivity test.

METHODS

Breast cancer patients were treated with two cycles of TAC (docetaxel 75 mg/m(2), doxorubicin 50 mg/m(2), cyclophosphamide 500 mg/m(2) every 21 days). Patients whose tumors showed a response received four more cycles. Patients whose tumors did not respond were randomized to four additional cycles TAC or NX (vinorelbine 25 mg/m(2) days 1 and 8, capecitabine 2000 mg/m(2) days 1-14, every 21 days). The primary end point was pCR at surgery.

RESULTS

Two hundred and eighty-five patients showed a clinical response, in 73.0% after two cycles, in 88.4% at surgery, and a pCR was seen in 17.9%. Breast conservation was possible in 72.2%. Responding patients obtained a pCR in 22.6% whereas non-responding patients reached a pCR in 7.3% and 3.1% with TAC or NX, respectively. Grade III/IV neutropenia and febrile neutropenia were observed during TAC in 70.2% and 13.5%, respectively. Significantly less toxicity were observed with NX.

CONCLUSION

Early response to TAC can reliably identify patients with a high chance of achieving a pCR. New effective treatments need to be explored for patients without an early response.

Color doppler ultrasound as an objective assessment tool for chemotherapeutic response in advanced breast cancer

BACKGROUND

In our part of the world, the majority of the patients with breast cancer present with locally advanced disease and require neo-adjuvant chemotherapy as the primary treatment modality. It is essential to monitor the response to chemotherapy in these patients. Clinical examination as the sole criterion of response assessment is entirely subjective and fallacious. Magnetic Resonance Imaging (MRI) and Computed Tomography (CT) are expensive. The role of Doppler ultrasonography as an imaging modality for this purpose is therefore being evaluated.

METHODS

A prospective study was undertaken of 25 cases of locally advanced breast carcinoma (LABC) and Color Doppler sonography was used for the sequential assessment of chemotherapeutic response. The response assessed on the basis of clinical examination and Color Doppler was compared with the histological response. The parameters assessed on color Doppler were a change in the number of flow signals, maximum flow velocity (Vmax), pulsatility index (PI) and resistivity index (RI). Responses were analysed statistically using the Pearson correlation coefficient and Kappa statistics (kappa). The sensitivity, specificity, positive predictive & negative predictive values for predicting complete histological response were calculated.

RESULTS

Color Doppler showed a sensitivity of 88.88 % for predicting complete histological response. The negative predictive value of color Doppler was 92.3 %. A significant correlation was obtained between color Doppler and histopathological response.

CONCLUSIONS

Color Doppler was found to be an objective and effective tool or modality compared with clinical evaluation in sequential response assessment, especially for predicting complete histological response.

Magnetic Resonance Imaging in Comparison to Clinical Palpation in Assessing the Response of Breast Cancer to Epirubicin Primary Chemotherapy

PURPOSE

To investigate whether magnetic resonance imaging (MRI) is superior to clinical palpation in the assessment of response of breast cancer to primary chemotherapy (PC).

PATIENTS AND METHODS

Seventy-three patients with T2-4, N0, M0 breast cancer were treated with 3-4 cycles of single agent epirubicin before definitive surgery. MRI was performed at baseline condition and at the end of chemotherapy.

RESULTS

According to the WHO criteria, 20 (27.4%) patients attained a complete response (CR) by clinical palpation and 41 (56.2%) a partial response. The corresponding response rate by MRI was 11 (15.1%) and 34 (46.6%), respectively. Residual tumor assessed by MRI better correlated with pathologic measurements (Spearman r : 0.72) than residual tumor assessed by clinical palpation (Spearman r : 0.58). Post-chemotherapy histology evaluation revealed pathologic CR in three cases, only one of them was considered as complete responder by MRI. Residual disease consisted in in situ carcinoma in four cases, one of them was complete responder at MRI, the remaining three showed residual abnormal contrast enhancement indistinguishable from that of invasive tumors.

CONCLUSIONS

As compared to pathology specimens, MRI is able to represent the extent of cancer more accurately than clinical palpation. It constitutes a promising technique in assessing the BC response to PC. The current limit of MRI is the scarce specificity in predicting the nature of residual disease.

Early changes in apoptosis and proliferation following primary chemotherapy for breast cancer

Patients undergoing primary chemotherapy for invasive breast cancer consented to a core biopsy of the invasive breast primary pre- and 24 h postchemotherapy. The resulting tissue was analysed for apoptosis, Ki67, ER and HER-2 using immunohistochemical techniques. These data were then used to evaluate the relationship between these biological markers and response to chemotherapy and overall survival. Response rate to chemotherapy in this group was 86%, 16 patients (25%) achieved a clinical complete response and 41 (63%) a partial response. Prechemotherapy there was a significant correlation between Ki67 and apoptotic index (AI), r=0.6, (P<0.001). A significant rise in AI (P<0.001), and fall in Ki67 (P=0.002) was seen 24 h following chemotherapy. No relationship was seen between pretreatment AI and clinical response, but higher Ki67 and growth index (Ki67/AI ratio, GI) did correlate with clinical response (both r=0.31, P<0.025). No correlation was seen between the change in AI or Ki67 at 24 h and clinical response or survival. Significant changes in apoptosis and proliferation can be demonstrated 24 h following chemotherapy, but these changes do not relate to clinical response or outcome in this study. Pretreatment proliferation and GI are however predictive of response to chemotherapy in breast cancer.