key: cord-0716542-cog526p1
authors: Rubio, Isabel T.; Sobrido, Carolina
title: Neoadjuvant approach in patients with early breast cancer: patient assessment, staging, and planning()
date: 2021-12-31
journal: Breast
DOI: 10.1016/j.breast.2021.12.019
sha: f955cfcd95f97ff735a97755e56c67697fdb8f0c
doc_id: 716542
cord_uid: cog526p1

Neoadjuvant treatment (NAT) has become an option in early stage (stage I-II) breast cancer (EBC). New advances in systemic and targeted therapies have increased rates of pathologic complete response increasing the number of patients undergoing NAT. Clear benefits of NAT are downstaging the tumor and the axillary nodes to de-escalate surgery and to evaluate response to treatment. Selection of patients for NAT in EBC rely in several factors that are related to patient characteristics (i.e, age and comorbidities), to tumor histology, to stage at diagnosis and to the potential changes in surgical or adjuvant treatments when NAT is administered. Imaging and histologic confirmation is performed to assess extent of disease y to confirm diagnosis. Besides mammogram and ultrasound, functional breast imaging MRI has been incorporated to better predict treatment response and residual disease. Contrast enhanced mammogram (CEM), shear wave elastography (SWE), or Dynamic Optical Breast Imaging (DOBI) are emerging techniques under investigation for assessment of response to neoadjuvant therapy as well as for predicting response. Surgical plan should be delineated after NAT taking into account baseline characteristics, tumor response and patient desire. In the COVID era, we have witnessed also the increasing use of NAT in patients who may be directed to surgery, unable to have it performed as surgery has been reserved for emergency cases only.

Neoadjuvant treatment (NAT) has become a standard treatment in locally advanced breast cancer and an option in early stage (stage I-II) breast cancer (EBC) [1] . The benefits of NAT are well known, and include the ability to reduce the extent of surgery in the breast and axilla, to facilitate breast conservative surgery (BCS) and to avoid complete axillary lymph node dissection in patients who have responded well to NAT [2, 3] . Other advantages include monitoring response in EBC as well as providing individualized post-treatment prognostic information for additional adjuvant treatments (mainly in Her2 positive and triple negative breast cancer) [4] .

Pathologic complete response (pCR) is defined by the absence of residual invasive disease in the breast and the absence of measurable disease in axillary nodes (ypT0/is ypN0). Achieving a pCR has been shown to be a strong predictor of outcome and correlates with better long-term outcomes in Her2 positive and triple negative breast cancer [5] .

Selection of patients for neoadjuvant chemotherapy (NAC) in EBC rely on several factors related to patient characteristics (i.e, age and comorbidities), to tumor histology, to stage at diagnosis and to the potential changes in surgical or adjuvant treatments when NAT is administered [6] .

EBC patients that are not candidates for BCS at front, may benefit from NAC to reduce tumor size and facilitate surgery [7] . Despite increasing use of NAC and high pCR rates, recent meta-analysis has shown that rates of BCS have not increased as desirable [8, 9] . The main reason for that is in the majority of this trials, survival or pCR is the endpoint, but not type of surgery, and it did not distinguish between patients eligible for BCS at diagnosis and those who required downstaging to undergo BCS. So, differences in rates of BCS from these studies clearly underestimate the benefit of NAT for downstaging. In Institutional and newer trials were type of surgery was considered as an end point, the increase in BCS has been seen across all tumor subtypes [2, 7] . The New advances in systemic therapy as the addition of more than one antiHER2 agent to chemotherapy [10] and in TN breast cancers [11] have increased substantially pCR rates. But though pCR is not necessary for BCS, the greater the tumor response the higher likelihood of successful BCS. And even in those patients not having a pCR and not suitable for standard BCS, BCS with oncoplastic techniques remains an option to avoid mastectomy as it has been shown to provide similar local control as standard BCS [12] .

Recent studies have shown that the degree of response to NAC is predictive of local control. In a retrospective study of 751 patients undergoing BCS after NAT, Swisher et al. [13] found excellent rates of LRR control (>93%) in patients achieving a pCR, with no differences in LRR-free survival rates by hormone receptors or HER2 status.

There has been some controversy regarding whether patients with cT1c Her2 positive or TN breast would be directed to NAC or not [14] . Reasons for NAC are: a) availability of a clinical trial, b) high likelihood of pCR, c) if patients might benefit from additional treatments in the adjuvant setting if residual disease is identified [15, 16] . or d) if it is expected that these patients would receive the same regimen at some point in their treatment course. This latter is more controversial in Her2 positive tumors where the use of anthracyclines may be omitted in selected patients [17] . In those cases where the final surgical pathology report is essential to making decisions about the need for chemotherapy and the type of regimen, then, surgery goes first (Fig. 1) .

A distinct approach is suggested in luminal tumors subtypes. The long-term outcome for patients with HR þ/HER2e tumors is not influenced by whether pCR is achieved or not. Although pCR is infrequently achieved, tumor reduction will allow for BCS in a patient requiring a mastectomy. Even though, neoadjuvant endocrine therapy (NET) has been considered as an alternative strategy for hormone receptor (HR) positive tumors, there are some luminal tumors where the decision about neoadjuvant chemotherapy or endocrine therapy is still controversial. There are two factors to be considered: intensity of hormone receptor expression and the Ki67 expression. The expression of Ki67 has been associated with the luminal B phenotype, a high risk of relapse, and likelihood of good response to neoadjuvant chemotherapy. Ki67 expression identifies a subset of patients with Luminal B breast cancer and node positive who could benefit from addition of adjuvant chemotherapy [18] , although it is not recommended to rely only on the Ki67 biomarker for the decision on NAC, due to the variables that may affect Ki 67 cutoff [19] . Besides these pathologic features used to triage patients to NAC vs. NET, other factors as patient age, and co-morbidities are key for the decision-making process (Fig. 2) .

In those patients with an indication for NET, rate of downstaging to BCS after NET in patients who were initially ineligible is reported to be around 50% as shown in the ACOSOG Z1031 trial, after treatment with an aromatase inhibitor for 16e18 weeks [20] . Similar rates of conversion to BCS are reported to be as high as 77% in other studies [21] . Optimal duration of NET remains to be determined, although most of the studies showed a greater reduction at 3e6 months [21, 22] .

In infiltrating lobular carcinoma (ILC) tailoring of therapy should be made not only by histologic subtype, but by molecular subtype, as there are data showing that selection of ILC patients for the adequate neoadjuvant approaches improves surgical outcomes [23] . In NET, treatment choices for postmenopausal patients are aromatase inhibitors (AIs), with letrozole and anastrozole being superior to exemestane, while in premenopausal patient the addition of ovarian suppression is mandatory although there is clearly a need of more data in premenopausal patients [24] .

Newer therapeutic agents such as CDK 4/6 inhibitors used in advanced ER-positive breast cancer are being studied in the EBC to determine whether these agents may be effective in increasing the response to NET (https://clinicaltrials.gov/ct2/show/NCT02764541) (https://clinica ltrials. gov/ct2/show/NCT02296801). 

The Breast 62 (2022) S17eS24 S18 2.1. Multi-genes signature to triage patients to NAC vs. NET

In 2013, the St Gallen International Breast Cancer Conference consensus guidelines supported the use of multi-gene signatures to make distinctions among patients with luminal disease. Although clinical subtypes overlap with these molecular subtypes, a significant number of patients will be reclassified based on the functionality of molecular pathways. The main reason for attempting distinction between Luminal A-like and Luminal B-like tumors was the implications for the utility of neoadjuvant chemotherapy [25] . Several prospective studies have been carried to improve biological identification for better treatment assignment. In the Neoadjuvant Breast Registry Symphony Trial (NBRST) patients were classified according to MammaPrint/BluePrint subtyping to provide insight into the response to NET or NAC. The MammaPrint index was highly associated with the likelihood of pCR, suggesting that patients with tumors at the highest risk of recurrence are more likely to have chemotherapy benefit. With BluePrint subtyping, 18% of IHQ luminal patients were classified in a different subgroup, and these patients have a significantly higher response rate to NCT compared with BluePrint Luminal patients. MammaPrint/BluePrint subtyping can help allocate effective treatment to appropriate patients [26] .

In the TransNEOS study, designed to evaluate the relationship between Recurrence Score (Oncotype Dx) and clinical response to NET, it was shown that the Recurrence Score group was significantly associated with clinical response to neoadjuvant letrozole [27] . The additional information provided by the gene profiles in the core biopsy to triage patients for NET or NAC will help in those luminal tumors to more accurately improve patient outcomes.

Patients with a positive axilla at diagnosis, regardless of tumor size, may also benefit from less axillary surgery if axillary pCR is achieved after NAT. The use of neoadjuvant chemotherapy reduces nodal positivity among cN0 and cN þ patients. And the strategy is to minimize the axillary lymph node dissection (ALND) rates and consequently, the surgical morbidity. Rates of axillary pCR following NAT vary, with the lowest rates seen among HR positive/ HER2À tumors (0e29%), and the highest rates seen among TN (47%e73%) and HER2þ tumors (49%e82%) [2, 3, 10] . While pCR is not necessary to allow downstaging to BCS, it is required to avoid ALND after NAT.

In clinically positive axilla, three prospective, single-arm studies have reported an overall false-negative rate from 8% to 14% for SLN after NAT [28e30]. Refinement of surgical techniques has reduced false negative rates to less than 5%. It includes placing a marker in the positive node at the time of diagnosis and excising it at the time of the axillary surgery with or without SLN [31e34]. All these findings have reflected in a substantially decreased rates of ALND over the last years. Clearly, patients with Her2 positive and TN breast cancer and cN þ benefit from NAT as the chances of avoiding an ALND are very high, adding the fact that in this setting, patients also benefit from additional treatments in the adjuvant setting if residual disease is identified [15, 16] .

In luminal Her2 negative tumors, a low pCR rate alone is not a sufficient reason for not performing NAT. Similarly, even with low axillary pCR rates, if patients are receiving same systemic treatment at some point of their treatment and an ALND can be spared, then, NAT may be indicated. 

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In those patients receiving NET, pCR has been shown to be more frequent in axillary nodes than in the breast. With an axillary pCR rate of 5%e11%, NET is an option for downstaging the axilla in those patients without clear indications for NAC [21] .

Besides patients who have medical contraindications to undergoing surgery at diagnosis (pregnancy, comorbidities), in the COVID era, having NAT as an option to mitigate the delays in surgery was a major advantage that allowed for treatment initiation during the pandemic. During the pandemic, it has been a great challenge managing breast cancer patients and resources have been reorganized to tailor individualized treatment decisions. When decision on administering NAC is taken, some issues need to be considered to reduce the detrimental effects of COVID-19 in breast cancer patients under NAT [35] .

Regarding the use of NET, a survey conducted to delineate the increased use of NET to allow safe deferral of surgery in USA revealed that before COVID19, most physicians used NET rarely (46%) or sometimes (33%) for HR positive tumors, while there was an increase in NET use for ER þ BC during the pandemic. Although despite evidence that therapeutic effect requires at least 3 months of administration, most of them chose NET for as short as possible [36] . The clinical outcomes of breast cancer patients during this pandemic will be elucidated over time.

Imaging and histologic confirmation are the starting point in the management.

Besides following patients with regular physical examination (PE), its inaccuracy mandates the addition of accurate imaging modalities to diagnose and monitor responses to NAT. Pretreatment evaluation includes breast imaging to assess extent of disease and to guide biopsies for confirming pathology. Histopathologic confirmation by core biopsy and evaluation of estrogen receptor, progesterone receptor, Her2, and Ki67 must be obtained before initiating treatment.

The imaging modality for evaluating tumor response depends mainly on the initial diagnostic imaging and breast imaging initially used should be repeated before surgery. Breast imaging should include digital mammogram with tomosynthesis, breast and axillary US and in selected patients, MRI [6] .

Marking cancer lesions for patients undergoing NAT is mandatory. Tumor marking is preferable at the time of the first imageguided biopsy, for all lesions that are classified as IVc and V according to the American College of Radiology Breast Imaging-Reporting and Data System Atlas (5th Edition), to reduce the number of interventions (https://www.acr.org/Clinical-Resources/ Reporting-and-Data-Systems/Bi-Rads). Several markers are available and its use depends mainly on resources, expertise and validated endpoints (Table 1) .

Mammography and breast ultrasound are the most commonly used. Digital breast tomosynthesis is recommended as part of the diagnostic evaluation to improve the measurement accuracy. Mammography and breast ultrasound are known to correlate modestly with pathologic cancer size [37] and with residual pathologic tumor size [38] . The sensitivity of mammography for predicting residual disease is greater than clinical breast examination (79 vs 49%), but with lower specificity (72 vs 92%).

Breast ultrasound (US) has shown to be a better predictor for assessing pathologic tumor size than mammography after NAT [39] , though several studies concluded that change of tumor size may not be a sensitive indicator to differentiate between responders and non-responders [40] . Grey-scale US can mislead results in patients with pCR, as residual scar tissue can be mistaken for residual tumor tissue [40] . The accuracy of combined mammography and US for determining pathologic tumor response is reported to be 74% and 79% respectively [39] .

Magnetic Resonance Imaging (MRI) is shown to be the most accurate method to assess tumor response after NAT. Nevertheless, there are controversies regarding the indication of MRI in this setting, mainly due to the same objections found in the diagnostic setting. Overestimation in size by MRI have led to unnecessarily large excision or mastectomy [41] . So, in NAT, MRI is recommended in patients with invasive carcinoma when there is suspected multifocality, multicentricity or unclear findings [6] . Image-guided biopsy should be done for all additional lesions detected by MRI that could potentially change the surgical plan. Also, MRI is recommended in cases of ILC. But it is not required for women with low breast density and clear unifocal lesions in conventional imaging.

Multiple studies have shown that dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is the most sensitive method for breast cancer detection and prediction of treatment response to NAT. The reported sensitivity, specificity, and accuracy of DCE-MRI for residual disease evaluation are 86e92%, 60e89%, and 76e90%, respectively [42] . And the addition of diffusionweighted imaging (DWI) significantly improves diagnostic accuracy. DWI-MRI is a quantitative technique that complements DCE MRI for tumor diagnosis and response evaluation [39] . Nevertheless, this technique has limitations in characterizing certain subtypes of breast cancer, such as intraductal or invasive lobular carcinoma, and has poor spatial resolution [43] .

Consequently, multiparametric MRI model including DCE-MRI and DW-MRI is more highly accurate in assessing response as DW-MRI is a high sensitive and DCE-MRI is a high specific modality in predicting pathological response to NAT as shown in a metaanalysis by Wu et al. [44] .

The prediction of pathologic outcome following NAT can be improved using a combination of multiple features, as longest diameter, sphericity, contralateral background parenchymal enhancement and functional tumor volume (FTV) [45] . Several studies (I-SPY 1 TRIAL and I-SPY 2) showed that FTV can more accurate predicting pCR and recurrence-free survival [45] . Because these features can be measured from the same DCE-MRI dataset, no additional image acquisitions are necessary.

There are several conditions that may affect the diagnostic accuracy of MRI for evaluating therapy response, including tumor molecular subtype (more accurate in ER-negative/HER2-positive and TN tumors), type of chemotherapy regimen (underestimated residual disease in patients treated with taxanes and antiangiogenic drugs) and pattern of tumor response (underestimate in fragmentation pattern or overestimate in inflammatory and fibrosis response) [39] .

Although DCE-MRI is routinely used in practical clinic, other new technologies are nowadays being investigated. With advances in the field of bioinformatics, new approaches to medical imaging data analysis for predictive modeling in cancer evaluation are being developed. Early results have demonstrated the potential for the application of machine learning with DCE-MRI and multiparametric MRI [46] .

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CESM provides low-energy 2D mammographic images and a post-processing recombined image, which enhances the distribution of the iodine contrast, representing neovascularity. To perform a CESM examination, a low osmolar iodinated contrast agent is needed, so it can be a contraindication in patients with iodine contrast allergy or, if necessary, the patient can be premedicated.

CESM and MRI lesion size measurements are highly correlated. CESM seems at least as reliable as MRI in assessing the response to NAT. This, added to its ease of implementation, could present CSEM as an alternative to conventional MRI in tumor response assessment in the neoadjuvant setting [47, 48] . There is growing evidence supporting the use of CSEM, a recent meta-analysis by Tang et al. [49] concluded that though DCE-MRI and CESM have equal specificity, CESM has a greater sensitivity compared to DCE-MRI (0,83 vs 0,77).

Among its advantages, CSEM is more available, cheaper and shorter in time compared to DCE-MRI. In addition, CESM is particularly useful for those patients who have a pacemaker, cochlear implant, severe claustrophobia, or metallic bodies not compatible. Nevertheless, it has disadvantages too, like radiation exposure and hypersensitivity reactions to iodine-based contrast agents (Fig. 3) .

Elastography is a complementary imaging test to B-mode US, non-invasive and able to assess tissue deformability. It is based on the premise that there are significant differences in the mechanical properties of tissues that can be detected by applying an external mechanical force. It is used to measure tissue stiffness and qualitative elastography elasticity measurements (soft, intermediate, or hard) of breast lesions have been incorporated as an associated finding in the 2nd edition of the BI-RADS US lexicon.

Shear Wave elastography (SWE) provides quantitative information, it is highly reproducibility technology and it is a less operator edependent compared to other elastography (like Strain). Although most of the studies are performed in locally advanced breast cancer, changes in tumor stiffness can be used as an early response-marker during treatment [40] . Jing et al. [50] found that tumor stiffness after two cycles of NAC was statistically significantly decreased in responders (p < 0.001) but not in non-responders (p ¼ 0.172). However, limitations include lack of standardization of the elastogram color coding and scoring, difficulties to differentiate heterogeneous lesions from malignant (necrotic) features, and fibrosis/scar that shows stiffness, or in cases where the tumor is located at the posterior part of the breast assessment may result more difficult than in other breast localizations.

SWE is a non-invasive novel technique that may be effective with further research to enable for personalized evidence-based escalation or de-escalation of treatments according to early findings. Clinical trials are ongoing looking at the addition of new imaging techniques to better accurate response to NAT (https://www. clinicaltrials.gov/NCT04795349).

QUS is non-invasive technique, inexpensive and portable. QUS utilizes raw radiofrequency signal produced from ultrasound backscatter, which is sensitive to tissue microstructure. Quiaoit et al. [51] found, in a multi-institutional study, that QUS parameters can be used to create algorithms that can recognize responders and non-responders to NAT at early treatment with elevated accuracy. DOBI is a non-invasive advanced digital imaging device that uses high-intensity, light-emitting diodes (LEDs) and gentle external pressure to highlight areas with vascular abnormalities. Its relationship with the tumor assessment after NAT has been evaluated by Zhang et al., showing that scores taken from blood volume and oxygen saturation, can early predict a favorable NAT response, with lower scores in better pathological responses [40] . Its application needs further research.

PET is a metabolic functional imaging modality that can show changes in tumor metabolism early during NAT, based on the principle of elevated glucose metabolism in malignant tumors. Two meta-analysis have addressed PET/CT feasibility to evaluate tumor response. Cheng et al. [52] found that FDG PET/CT and PET had reasonable sensitivity in evaluating response to NAT in breast cancer but relatively low specificity. In the meta-analysis by Mghanga et al. [53] FDG-PET or PET/CT showed higher specificity (0.788), while the sensitivity values were similar (0.805).

Despite these benefits, there are some limitations of PET and PET/CT as the variability in the cutoff values for changes in tumor metabolic activity to predict response to NAC, the inability to detect lesions measuring less than 1 cm reliably, and which is the optimal timing of the interim FDG PET/CT to best accurate response. Dedicated Breast PET/CT scanners could avoid these limitations and improve detection and evaluation of response after NAT [54] , though still ongoing research.

Axillary ultrasound (AUS) is the most accurate modality for diagnosis and assessing residual disease in the regional nodes. AUS sensitivity and specificity for diagnosis in several studies vary from 26% to 94% and from 53% to 98% respectively. These variations are related to different conditions and different levels of expertise [55] .

If a node is suspected of harboring metastatic cells, fine-needle aspiration or core biopsy should be done. In cases of pathologically proven node positive metastases, marking the positive node will enable targeted axillary dissection after NAT [6] .

For assessing residual disease in the regional nodes, data from the ACOSOG Z071 [56] showed that lymph node size, the cortical thickness of the most abnormal lymph node, and the presence or loss of the fatty hilum were the most important criteria to evaluate residual nodal disease status after NAT.

After NAT, depending on molecular subtypes, approximately 40%e70% of patients convert from node-positive disease to nodenegative disease and therefore, AUS may be a tool to triage patient for axillary surgery. In the study by Morency et al., using AUS followed by SLN decreased the FNR as low as 2.7%, with an NPV of 93.7% [57] . In ACOSOG Z1071, using AUS-to select patients for SLN would have also decreased the calculated FNR from 12.6 to 9.8%, with an NPV of 83.8% [58] . Although AUS cannot spare patients for axillary surgery after NAT, refinement of the technique may improve the triage of patients to SLN or ALND more accurately.

When comparing different methods to assess the axilla after NAT, a recent meta-analysis including 1322 with axillary ultrasound, 849 breast MRI, and 209 whole-body 18F-FDG PET-CT in clinically node-positive breast cancer patients were evaluated [59] . Although the sensitivity of AUS is higher than the other methods, it still remains below the adequate threshold to allow for omission of axillary surgery after NAT ( Table 2) .

The challenge over the next years is to tailor functional imaging with pathologic outcomes to guide the most efficient treatments regimen.

Practice guidelines recommend that imaging to detect metastatic disease not be performed in the majority of patients with early-stage breast cancer who are asymptomatic [1] . PET scan is reserved for patients with unconclusive metastatic dissemination or with more advanced disease.

In EBC, potential candidates for neoadjuvant therapy include those who desire breast-conserving surgery but are not candidates, those with positive axilla who can spare an ALND, those in whom response to neoadjuvant therapy could influence selection of adjuvant therapy, and those with excellent response that may impact on outcomes. Tailoring imaging modalities to biologic and molecular features is the future to personalize treatments and to more accurate evaluate response. In selecting patients for NAT, the pattern of response will serve to tailor systemic and locoregional treatment. De-escalation in treatments can only be successfully achieved if decided by the multidisciplinary team.

None. I.T. Rubio and C. Sobrido The Breast 62 (2022) S17eS24

Early breast cancer: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up

Leveraging the increased rates of pathologic complete response after neoadjuvant treatment in breast cancer to de-escalate surgical treatments

How often does neoadjuvant chemotherapy avoid axillary dissection in patients with histologically confirmed nodal metastases? Results of a prospective study

escalating and escalating treatments for early-stage breast cancer: the St. Gallen international expert consensus conference on the primary therapy of early breast cancer

Pathological complete response and long-term clinical benefit in breast cancer: the CTNeoBC pooled analysis

Breast conservation and axillary management after primary systemic therapy in patients with early-stage breast cancer: the Lucerne toolbox

Breast conservation after neoadjuvant chemotherapy for triple-negative breast cancer: surgical results from the BrighTNess randomized clinical trial

Impact of neoadjuvant chemotherapy and pathological complete response on eligibility for breast-conserving surgery in patients with early breast cancer: a meta-analysis

Meta-analysis of neoadjuvant therapy and its impact in facilitating breast conservation in operable breast cancer

5-year analysis of neoadjuvant pertuzumab and trastuzumab in patients with locally advanced, inflammatory, or early-stage HER2-positive breast cancer (Neo-Sphere): a multicentre, open-label, phase 2 randomised trial

Tumor biology correlates with rates of breast-conserving surgery and pathologic complete response after neoadjuvant chemotherapy for breast cancer: findings from the ACOSOG Z1071 (Alliance) Prospective Multicenter Clinical Trial

Oncological safety of oncoplastic level II mammoplasties after neoadjuvant chemotherapy for large breast cancers: a matched-cohort analysis

Locoregional control according to breast cancer subtype and response to neoadjuvant chemotherapy in breast cancer patients undergoing breastconserving therapy

Local treatment of triplenegative breast cancer

Trastuzumab emtansine for residual invasive HER2-positive breast cancer

Adjuvant capecitabine for breast cancer after preoperative chemotherapy

Neoadjuvant chemotherapy with or without anthracyclines in the presence of dual HER2 blockade for HER2-positive breast cancer (TRAIN-2): a multicentre, open-label, randomised, phase 3 trial

High Ki-67 score is indicative of a greater benefit from adjuvant chemotherapy when added to endocrine therapy in luminal B HER2 negative and node-positive breast cancer

Ki67-no evidence for its use in node-positive breast cancer

Randomized phase II neoadjuvant comparison between letrozole, anastrozole, and exemestane for postmenopausal women with estrogen receptor-rich stage 2 to 3 breast cancer: clinical and biomarker outcomes and predictive value of the baseline PAM50-based intrinsic subtype-ACOSOG Z1031

How effective is neoadjuvant endocrine therapy (NET) in downstaging the axilla and achieving breast-conserving surgery?

Efficacy of six month neoadjuvant endocrine therapy in postmenopausal, hormone receptor-positive breast cancer patients-a phase II trial

Changes in management strategy and impact of neoadjuvant therapy on extent of surgery in invasive lobular carcinoma of the breast: analysis of the national cancer database (NCDB)

The landmark series: neoadjuvant endocrine therapy for breast cancer

Personalizing the treatment of women with early breast cancer: highlights of the St gallen international expert consensus on the primary therapy of early breast cancer

Chemosensitivity and endocrine sensitivity in clinical luminal breast cancer patients in the prospective neoadjuvant breast Registry Symphony trial (NBRST) predicted by molecular subtyping

Validation of the 21-gene test as a predictor of clinical response to neoadjuvant hormonal therapy for ERþ, HER2-negative breast cancer: the TransNEOS study

Sentinel lymph node surgery after neoadjuvant chemotherapy in patients with node-positive breast cancer: the ACOSOG Z1071 (Alliance) clinical trial

Sentinel node biopsy after neoadjuvant chemotherapy in biopsy-proven node-positive breast cancer: the SN FNAC study

Sentinellymph-node biopsy in patients with breast cancer before and after neoadjuvant chemotherapy (SENTINA): a prospective, multicentre cohort study

Intraoperative ultrasound-guided excision of axillary clip in patients with node-positive breast cancer treated with neoadjuvant therapy (ilina trial) : a new tool to guide the excision of the clipped node after neoadjuvant treatment

Improved axillary evaluation following neoadjuvant therapy for patients with node-positive breast cancer using selective evaluation of clipped nodes: implementation of targeted axillary dissection

Marking axillary lymph nodes with radioactive iodine seeds for axillary staging after neoadjuvant systemic treatment in breast cancer patients: the MARI procedure

Identification and resection of clipped node decreases the false-negative rate of sentinel lymph node surgery in patients presenting with node-positive breast cancer (T0-T4, N1-N2) who receive neoadjuvant chemotherapy: results from ACOSOG Z1071 (alliance)

Recommendations for triage, prioritization and treatment of breast cancer patients during the COVID-19 pandemic

Neoadjuvant endocrine therapy use in early stage breast cancer during the covid-19 pandemic

Preoperative estimation of the pathological breast tumour size by physical examination, mammography and ultrasound: a prospective study on 105 invasive tumours

Multimodality imaging for evaluating response to neoadjuvant chemotherapy in breast cancer

Imaging neoadjuvant therapy response in breast cancer

Efficacy of shear-wave elastography versus dynamic optical breast imaging for predicting the pathological response to neoadjuvant chemotherapy in breast cancer

Meta-analysis of agreement between MRI and pathologic breast tumour size after neoadjuvant chemotherapy

Meta-analysis of magnetic resonance imaging in detecting residual breast cancer after neoadjuvant therapy

The role of magnetic resonance imaging in assessing residual disease and pathologic complete response in breast cancer patients receiving neoadjuvant chemotherapy: a systematic review

Can diffusion-weighted MR I.T. Rubio and C

imaging and contrast-enhanced MR imaging precisely evaluate and predict pathological response to neoadjuvant chemotherapy in patients with breast cancer?

Predicting breast cancer response to neoadjuvant treatment using multi-feature MRI: results from the I-SPY 2 TRIAL

Impact of machine learning with multiparametric magnetic resonance imaging of the breast for early prediction of response to neoadjuvant chemotherapy and survival outcomes in breast cancer patients

Contrastenhanced spectral mammography in neoadjuvant chemotherapy monitoring: a comparison with breast magnetic resonance imaging

Contrast enhanced spectral mammography: a review

The diagnostic performance of CESM and CE-MRI in evaluating the pathological response to neoadjuvant therapy in breast cancer: a systematic review and meta-analysis

Early evaluation of relative changes in tumor stiffness by shear wave elastography predicts the response to neoadjuvant chemotherapy in patients with breast cancer

Quantitative ultrasound radiomics for therapy response monitoring in patients with locally advanced breast cancer: multi-institutional study results

18F-FDG PET/CT and PET for evaluation of pathological response to neoadjuvant chemotherapy in breast cancer: a meta-analysis

Fluorine-18 fluorodeoxyglucose positron emission tomography-computed tomography in monitoring the response of breast cancer to neoadjuvant chemotherapy: a meta-analysis

Vald es Olmos RA. Molecular imaging in breast cancer: from whole-body PET/CT to dedicated breast PET

Diagnostic accuracy of axillary staging by ultrasound in early breast cancer patients

Axillary ultrasound identifies residual nodal disease after chemotherapy: results from the American College of surgeons oncology group Z1071 trial (alliance)

Axillary lymph node ultrasound following neoadjuvant chemotherapy in biopsyproven node-positive breast cancer: results from the SN FNAC study

Axillary ultrasound after neoadjuvant chemotherapy and its impact on sentinel lymph node surgery: results from the American College of surgeons oncology group Z1071 trial (alliance)

Diagnostic performance of noninvasive imaging for assessment of axillary response after neoadjuvant systemic therapy in clinically nodepositive breast cancer: a systematic review and meta-analysis