{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,9]],"date-time":"2026-09-09T05:07:32Z","timestamp":1788930452933,"version":"build-2803163510"},"reference-count":45,"publisher":"MDPI AG","issue":"17","license":[{"start":{"date-parts":[[2026,9,4]],"date-time":"2026-09-04T00:00:00Z","timestamp":1788480000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["81901711"],"award-info":[{"award-number":["81901711"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["82302314"],"award-info":[{"award-number":["82302314"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["82171920"],"award-info":[{"award-number":["82171920"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"award":["81901711"],"award-info":[{"award-number":["81901711"]}],"id":[{"id":"https:\/\/ror.org\/01h0zpd94","id-type":"ROR","asserted-by":"publisher"}]},{"award":["82302314"],"award-info":[{"award-number":["82302314"]}],"id":[{"id":"https:\/\/ror.org\/01h0zpd94","id-type":"ROR","asserted-by":"publisher"}]},{"award":["82171920"],"award-info":[{"award-number":["82171920"]}],"id":[{"id":"https:\/\/ror.org\/01h0zpd94","id-type":"ROR","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100021171","name":"Basic and Applied Basic Research Foundation of Guangdong Province","doi-asserted-by":"crossref","award":["2022A1515110792"],"award-info":[{"award-number":["2022A1515110792"]}],"id":[{"id":"10.13039\/501100021171","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100021171","name":"Basic and Applied Basic Research Foundation of Guangdong Province","doi-asserted-by":"crossref","award":["2023A1515220097"],"award-info":[{"award-number":["2023A1515220097"]}],"id":[{"id":"10.13039\/501100021171","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100021171","name":"Basic and Applied Basic Research Foundation of Guangdong Province","doi-asserted-by":"crossref","award":["2024A1515010653"],"award-info":[{"award-number":["2024A1515010653"]}],"id":[{"id":"10.13039\/501100021171","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Medical Scientific Research Foundation of Guangdong Province","award":["A2023073"],"award-info":[{"award-number":["A2023073"]}]},{"name":"Science and Technology Projects in Guangzhou","award":["2024A03J1030"],"award-info":[{"award-number":["2024A03J1030"]}]},{"name":"Science and Technology Projects in Guangzhou","award":["2025A03J4162"],"award-info":[{"award-number":["2025A03J4162"]}]},{"name":"Science and Technology Projects in Guangzhou","award":["2025A03J4163"],"award-info":[{"award-number":["2025A03J4163"]}]},{"name":"Science and Technology Projects in Guangzhou","award":["2023A04J1275"],"award-info":[{"award-number":["2023A04J1275"]}]},{"name":"Guangzhou First People\u2019s Hospital Frontier Medical Technology Project","award":["QY-C04"],"award-info":[{"award-number":["QY-C04"]}]},{"award":["QY-C04"],"award-info":[{"award-number":["QY-C04"]}],"id":[{"id":"https:\/\/ror.org\/02bwytq13","id-type":"ROR","asserted-by":"publisher"}]},{"name":"Special Fund for the Construction of High-level Key Clinical Specialty (Medical Imaging) in Guangzhou, Guangzhou Key Laboratory of Molecular Imaging and Clinical Translational Medicine"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Diagnostics"],"abstract":"<jats:p>Background\/Objectives: Pretreatment imaging may help estimate axillary response after neoadjuvant chemotherapy (NAC) in clinically node-positive (cN+) breast cancer. This study compared routinely available magnetic resonance imaging (MRI) and ultrasound (US) descriptors from the primary tumor and axillary nodes for predicting axillary nodal response, defined as postneoadjuvant pathologic node-negative status (ypN0). Methods: This retrospective multicenter study included 243 patients from three centers: 146 in the training cohort, 59 in the internal validation cohort, and 38 in the external validation cohort. The index breast tumor and axillary node were identified by a senior radiologist, and two radiologists independently assessed structured descriptors based on BI-RADS 2025. Least absolute shrinkage and selection operator regression and logistic regression were used to develop imaging-only, clinical-only, and clinicoradiologic models. Performance was evaluated using area under the curve (AUC), calibration, decision curve analysis, net reclassification improvement, and integrated discrimination improvement. Results: In the internal and external validation cohorts, the trimodal imaging model achieved AUCs of 0.761 and 0.806, and the clinicoradiologic model achieved the highest AUCs of 0.858 and 0.931, respectively. In pooled validation subgroup analyses, AUCs were 0.928, 0.804, and 0.700 for HR-positive\/HER2-negative, HER2-positive, and triple-negative tumors, and 0.898 and 0.880 for cN1 and cN2\u20133 disease, respectively. Conclusions: MRI tumor descriptors provided the strongest imaging signal for ypN0 prediction, while US descriptors offered modest complementary information. The clinicoradiologic model may support pretreatment risk stratification and multidisciplinary planning for post-NAC axillary reassessment, but should not independently determine sentinel lymph node biopsy, axillary lymph node dissection, or omission of axillary staging.<\/jats:p>","DOI":"10.3390\/diagnostics16172853","type":"journal-article","created":{"date-parts":[[2026,9,4]],"date-time":"2026-09-04T16:07:32Z","timestamp":1788538052000},"page":"2853","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Pretreatment MRI and Ultrasound Features of the Primary Tumor and Axillary Nodes for Predicting Axillary Pathologic Complete Response After Neoadjuvant Chemotherapy: A Cross-Anatomic Comparison"],"prefix":"10.3390","volume":"16","author":[{"given":"Shuang","family":"Liu","sequence":"first","affiliation":[{"name":"Department of Radiology, School of Medicine, The Second Affiliated Hospital (Guangzhou First People\u2019s Hospital), South China University of Technology, No. 1 Panfu Road, Guangzhou 510180, China"}],"role":[{"vocabulary":"crossref","role":"author"},{"role":"investigation","vocabulary":"credit"},{"role":"methodology","vocabulary":"credit"},{"role":"writing-original-draft","vocabulary":"credit"},{"role":"formal-analysis","vocabulary":"credit"}]},{"given":"Yongxin","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Radiology, School of Medicine, The Second Affiliated Hospital (Guangzhou First People\u2019s Hospital), South China University of Technology, No. 1 Panfu Road, Guangzhou 510180, China"}],"role":[{"vocabulary":"crossref","role":"author"},{"role":"data-curation","vocabulary":"credit"},{"role":"writing-review-editing","vocabulary":"credit"},{"role":"investigation","vocabulary":"credit"}]},{"given":"Wenjie","family":"Tang","sequence":"additional","affiliation":[{"name":"Department of Radiology, School of Medicine, The Second Affiliated Hospital (Guangzhou First People\u2019s Hospital), South China University of Technology, No. 1 Panfu Road, Guangzhou 510180, China"}],"role":[{"vocabulary":"crossref","role":"author"},{"role":"writing-review-editing","vocabulary":"credit"},{"role":"project-administration","vocabulary":"credit"},{"role":"supervision","vocabulary":"credit"}]},{"given":"Yonghui","family":"Feng","sequence":"additional","affiliation":[{"name":"Department of Radiology, Guangzhou Panyu Maternal and Child Health Hospital, Guangzhou 511483, China"}],"role":[{"vocabulary":"crossref","role":"author"},{"role":"resources","vocabulary":"credit"},{"role":"data-curation","vocabulary":"credit"},{"role":"validation","vocabulary":"credit"},{"role":"writing-review-editing","vocabulary":"credit"}]},{"given":"Liwen","family":"Pan","sequence":"additional","affiliation":[{"name":"Department of Radiology, School of Medicine, The Second Affiliated Hospital (Guangzhou First People\u2019s Hospital), South China University of Technology, No. 1 Panfu Road, Guangzhou 510180, China"}],"role":[{"vocabulary":"crossref","role":"author"},{"role":"data-curation","vocabulary":"credit"},{"role":"validation","vocabulary":"credit"},{"role":"visualization","vocabulary":"credit"}]},{"given":"Jiaxin","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Radiology, School of Medicine, The Second Affiliated Hospital (Guangzhou First People\u2019s Hospital), South China University of Technology, No. 1 Panfu Road, Guangzhou 510180, China"}],"role":[{"vocabulary":"crossref","role":"author"},{"role":"data-curation","vocabulary":"credit"}]},{"given":"Jingxuan","family":"Guo","sequence":"additional","affiliation":[{"name":"Clinical Medical College, Tianjin Medical University, Tianjin 300270, China"}],"role":[{"vocabulary":"crossref","role":"author"},{"role":"data-curation","vocabulary":"credit"},{"role":"validation","vocabulary":"credit"}]},{"given":"Weifeng","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of Radiology, School of Medicine, The Second Affiliated Hospital (Guangzhou First People\u2019s Hospital), South China University of Technology, No. 1 Panfu Road, Guangzhou 510180, China"}],"role":[{"vocabulary":"crossref","role":"author"},{"role":"resources","vocabulary":"credit"},{"role":"supervision","vocabulary":"credit"},{"role":"writing-review-editing","vocabulary":"credit"},{"role":"funding-acquisition","vocabulary":"credit"}]},{"given":"Qingcong","family":"Kong","sequence":"additional","affiliation":[{"name":"Department of Radiology, The Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou 510630, China"}],"role":[{"vocabulary":"crossref","role":"author"},{"role":"data-curation","vocabulary":"credit"},{"role":"project-administration","vocabulary":"credit"},{"role":"supervision","vocabulary":"credit"}]},{"given":"Xinqing","family":"Jiang","sequence":"additional","affiliation":[{"name":"Department of Radiology, School of Medicine, The Second Affiliated Hospital (Guangzhou First People\u2019s Hospital), South China University of Technology, No. 1 Panfu Road, Guangzhou 510180, China"}],"role":[{"vocabulary":"crossref","role":"author"},{"role":"funding-acquisition","vocabulary":"credit"},{"role":"project-administration","vocabulary":"credit"},{"role":"supervision","vocabulary":"credit"},{"role":"writing-review-editing","vocabulary":"credit"}]}],"member":"1968","published-online":{"date-parts":[[2026,9,4]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"9304","DOI":"10.1200\/JCO.2005.02.5023","article-title":"Outcome After Pathologic Complete Eradication of Cytologically Proven Breast Cancer Axillary Node Metastases Following Primary Chemotherapy","volume":"23","author":"Hennessy","year":"2005","journal-title":"J. Clin. Oncol."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"508","DOI":"10.1001\/jamaoncol.2015.4935","article-title":"Ten-Year Outcomes of Patients with Breast Cancer with Cytologically Confirmed Axillary Lymph Node Metastases and Pathologic Complete Response After Primary Systemic Chemotherapy","volume":"2","author":"Mougalian","year":"2016","journal-title":"JAMA Oncol."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"608","DOI":"10.1097\/SLA.0000000000000924","article-title":"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","volume":"260","author":"Boughey","year":"2014","journal-title":"Ann. Surg."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"e210891","DOI":"10.1001\/jamasurg.2021.0891","article-title":"EUBREAST Group Axillary Pathologic Complete Response After Neoadjuvant Systemic Therapy by Breast Cancer Subtype in Patients with Initially Clinically Node-Positive Disease: A Systematic Review and Meta-Analysis","volume":"156","author":"Samiei","year":"2021","journal-title":"JAMA Surg."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"1304","DOI":"10.1200\/JCO.2002.20.5.1304","article-title":"Incidence and Prognostic Significance of Complete Axillary Downstaging After Primary Chemotherapy in Breast Cancer Patients with T1 to T3 Tumors and Cytologically Proven Axillary Metastatic Lymph Nodes","volume":"20","author":"Rouzier","year":"2002","journal-title":"J. Clin. Oncol."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"1455","DOI":"10.1001\/jama.2013.278932","article-title":"Sentinel Lymph Node Surgery After Neoadjuvant Chemotherapy in Patients with Node-Positive Breast Cancer: The ACOSOG Z1071 (Alliance) Clinical Trial","volume":"310","author":"Boughey","year":"2013","journal-title":"J. Am. Med. Assoc."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"136","DOI":"10.1038\/bjc.1992.230","article-title":"Assessment of Morbidity from Complete Axillary Dissection","volume":"66","author":"Ivens","year":"1992","journal-title":"Br. J. Cancer"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"747","DOI":"10.1016\/j.suc.2018.04.001","article-title":"Management of the Axilla in the Patient with Breast Cancer","volume":"98","author":"Park","year":"2018","journal-title":"Surg. Clin. N. Am."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"500","DOI":"10.1148\/radiol.2020192534","article-title":"Axillary Nodal Evaluation in Breast Cancer: State of the Art","volume":"295","author":"Chang","year":"2020","journal-title":"Radiology"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"131","DOI":"10.1007\/s10549-024-07274-1","article-title":"Sentinel Lymph Node Biopsy before and after Neoadjuvant Chemotherapy in cN0 Breast Cancer Patients: Impact on Axillary Morbidity and Survival\u2014A Propensity Score Cohort Study","volume":"206","author":"Falo","year":"2024","journal-title":"Breast Cancer Res. Treat."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"1072","DOI":"10.1200\/JCO.2015.64.0094","article-title":"Improved Axillary Evaluation Following Neoadjuvant Therapy for Patients with Node-Positive Breast Cancer Using Selective Evaluation of Clipped Nodes: Implementation of Targeted Axillary Dissection","volume":"34","author":"Caudle","year":"2016","journal-title":"J. Clin. Oncol."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"e428","DOI":"10.1016\/j.clbc.2021.10.014","article-title":"Nomogram Based on Breast MRI and Clinicopathologic Features for Predicting Axillary Lymph Node Metastasis in Patients with Early-Stage Invasive Breast Cancer: A Retrospective Study","volume":"22","author":"Xue","year":"2022","journal-title":"Clin. Breast Cancer"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"2177","DOI":"10.1111\/tbj.14089","article-title":"MRI-based Predictive Factors of Axillary Lymph Node Status in Breast Cancer","volume":"26","author":"Atallah","year":"2020","journal-title":"Breast J."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"412","DOI":"10.1016\/j.jss.2020.07.025","article-title":"Is Breast Magnetic Resonance Imaging an Accurate Predictor of Nodal Status After Neoadjuvant Chemotherapy?","volume":"257","author":"Cortina","year":"2021","journal-title":"J. Surg. Res."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"646","DOI":"10.2214\/AJR.07.2460","article-title":"Cortical Morphologic Features of Axillary Lymph Nodes as a Predictor of Metastasis in Breast Cancer: In Vitro Sonographic Study","volume":"191","author":"Bedi","year":"2008","journal-title":"Am. J. Roentgenol."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"1589","DOI":"10.1148\/rg.336125060","article-title":"Axillary Staging of Breast Cancer: What the Radiologist Should Know","volume":"33","author":"Ecanow","year":"2013","journal-title":"RadioGraphics"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1148\/radiol.2019190014","article-title":"Predicting Axillary Response to Neoadjuvant Chemotherapy: Breast MRI and US in Patients with Node-Positive Breast Cancer","volume":"293","author":"Kim","year":"2019","journal-title":"Radiology"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"4896","DOI":"10.1007\/s00330-025-11408-4","article-title":"Predicting Axillary Residual Disease after Neoadjuvant Therapy in Breast Cancer Using Baseline MRI and Ultrasound","volume":"35","author":"Malhaire","year":"2025","journal-title":"Eur. Radiol."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.acra.2024.07.029","article-title":"Preoperative Prediction of Axillary Lymph Node Metastasis in Patients with Breast Cancer Through Multimodal Deep Learning Based on Ultrasound and Magnetic Resonance Imaging Images","volume":"32","author":"Tang","year":"2025","journal-title":"Acad. Radiol."},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Cheng, M., Li, J., Lin, Y., Zou, J., Wang, D., and Wu, C. (2026). Multimodal Nomogram for Predicting Axillary Pathological Complete Response after Neoadjuvant Therapy in Clinically Node-Positive Breast Cancer. Front. Oncol., 16.","DOI":"10.3389\/fonc.2026.1758310"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"159","DOI":"10.1016\/j.annonc.2023.11.016","article-title":"Early Breast Cancer: ESMO Clinical Practice Guideline for Diagnosis, Treatment and Follow-Up","volume":"35","author":"Loibl","year":"2024","journal-title":"Ann. Oncol."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"433","DOI":"10.6004\/jnccn.2017.0044","article-title":"NCCN Guidelines Insights: Breast Cancer, Version 1.2017","volume":"15","author":"Gradishar","year":"2017","journal-title":"J. Natl. Compr. Cancer Netw."},{"key":"ref_23","unstructured":"Morris, E.A., Comstock, C.E., and Lee, C.H. (2013). ACR BI-RADS\u00ae Magnetic Resonance Imaging. ACR BI-RADS\u00ae Atlas, Breast Imaging Reporting and Data System, American College of Radiology."},{"key":"ref_24","unstructured":"Newell, M.S., Destounis, S.V., Leung, J.W.T., DeMartini, W.B., Lee, C.H., and Eby, P.R. (2025). ACR BI-RADS\u00ae V2025 Manual, American College of Radiology."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"1283","DOI":"10.1148\/rg.2021210053","article-title":"Imaging Updates to Breast Cancer Lymph Node Management","volume":"41","author":"Chung","year":"2021","journal-title":"RadioGraphics"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"861","DOI":"10.1002\/uog.23617","article-title":"Terms, Definitions and Measurements to Describe Sonographic Features of Lymph Nodes: Consensus Opinion from the Vulvar International Tumor Analysis (VITA) Group","volume":"57","author":"Fischerova","year":"2021","journal-title":"Ultrasound Obstet. Gynecol."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"e2330280","DOI":"10.2214\/AJR.23.30280","article-title":"High Peritumoral and Intratumoral T2 Signal Intensity in HER2-Positive Breast Cancers on Preneoadjuvant Breast MRI: Assessment of Associations with Histopathologic Characteristics","volume":"222","author":"Jirarayapong","year":"2024","journal-title":"Am. J. Roentgenol."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"121","DOI":"10.1007\/s11547-024-01936-2","article-title":"Enhancing Detection of High-Level Axillary Lymph Node Metastasis after Neoadjuvant Therapy in Breast Cancer Patients with Nodal Involvement: A Combined Approach of Axilla Ultrasound and Breast Elastography","volume":"130","author":"Huang","year":"2024","journal-title":"Radiol. Medica"},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"2784","DOI":"10.1200\/JCO.2009.25.6529","article-title":"American Society of Clinical Oncology\/College of American Pathologists Guideline Recommendations for Immunohistochemical Testing of Estrogen and Progesterone Receptors in Breast Cancer","volume":"28","author":"Hammond","year":"2010","journal-title":"J. Clin. Oncol."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"3997","DOI":"10.1200\/JCO.2013.50.9984","article-title":"Recommendations for Human Epidermal Growth Factor Receptor 2 Testing in Breast Cancer: American Society of Clinical Oncology\/College of American Pathologists Clinical Practice Guideline Update","volume":"31","author":"Wolff","year":"2013","journal-title":"J. Clin. Oncol."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"5664","DOI":"10.1200\/JCO.2006.07.3916","article-title":"Sequential Adjuvant Epirubicin-Based and Docetaxel Chemotherapy for Node-Positive Breast Cancer Patients: The FNCLCC PACS 01 Trial","volume":"24","author":"Fumoleau","year":"2006","journal-title":"J. Clin. Oncol."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"2206","DOI":"10.1093\/annonc\/mdt303","article-title":"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 2013","volume":"24","author":"Goldhirsch","year":"2013","journal-title":"Ann. Oncol."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"1185","DOI":"10.1038\/modpathol.2015.74","article-title":"Standardization of Pathologic Evaluation and Reporting of Postneoadjuvant Specimens in Clinical Trials of Breast Cancer: Recommendations from an International Working Group","volume":"28","author":"Provenzano","year":"2015","journal-title":"Mod. Pathol."},{"key":"ref_34","first-page":"93","article-title":"The Eighth Edition AJCC Cancer Staging Manual: Continuing to Build a Bridge from a Population-based to a More \u201cPersonalized\u201d Approach to Cancer Staging","volume":"67","author":"Amin","year":"2017","journal-title":"CA A Cancer J. Clin."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"164","DOI":"10.1016\/S0140-6736(13)62422-8","article-title":"Pathological Complete Response and Long-Term Clinical Benefit in Breast Cancer: The CTNeoBC Pooled Analysis","volume":"384","author":"Cortazar","year":"2014","journal-title":"Lancet"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"930","DOI":"10.1007\/s00330-023-10155-8","article-title":"Diagnostic Performance of MRI for Assessing Axillary Lymph Node Status after Neoadjuvant Chemotherapy in Breast Cancer: A Systematic Review and Meta-Analysis","volume":"34","author":"Li","year":"2023","journal-title":"Eur. Radiol."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"20","DOI":"10.1002\/cncr.11880","article-title":"Correlation of Tumor Volume and Surface Area with Lymph Node Status in Patients with Multifocal\/Multicentric Breast Carcinoma","volume":"100","author":"Andea","year":"2004","journal-title":"Cancer"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"66","DOI":"10.1007\/s12282-014-0572-9","article-title":"Focal Breast Edema Associated with Malignancy on T2-Weighted Images of Breast MRI: Peritumoral Edema, Prepectoral Edema, and Subcutaneous Edema","volume":"22","author":"Uematsu","year":"2015","journal-title":"Breast Cancer"},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"314","DOI":"10.3892\/ol.2020.12177","article-title":"Predictive Value of T2-weighted Magnetic Resonance Imaging for the Prognosis of Patients with Mass-type Breast Cancer with Peritumoral Edema","volume":"20","author":"Liang","year":"2020","journal-title":"Oncol. Lett."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"2679","DOI":"10.1245\/s10434-019-08164-3","article-title":"Ultrasound-Based Nomogram Identifies Breast Cancer Patients Unlikely to Harbor Axillary Metastasis: Towards Selective Omission of Sentinel Lymph Node Biopsy","volume":"27","author":"Tran","year":"2020","journal-title":"Ann. Surg. Oncol."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"663","DOI":"10.1148\/radiol.12110748","article-title":"Locally Advanced Breast Cancer: MR Imaging for Prediction of Response to Neoadjuvant Chemotherapy\u2014Results from ACRIN 6657\/I-SPY TRIAL","volume":"263","author":"Hylton","year":"2012","journal-title":"Radiology"},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"27","DOI":"10.1016\/S1470-2045(17)30777-5","article-title":"Long-Term Outcomes for Neoadjuvant versus Adjuvant Chemotherapy in Early Breast Cancer: Meta-Analysis of Individual Patient Data from Ten Randomised Trials","volume":"19","author":"Asselain","year":"2018","journal-title":"Lancet Oncol."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1016\/S1470-2045(11)70336-9","article-title":"Efficacy and Safety of Neoadjuvant Pertuzumab and Trastuzumab in Women with Locally Advanced, Inflammatory, or Early HER2-Positive Breast Cancer (NeoSphere): A Randomised Multicentre, Open-Label, Phase 2 Trial","volume":"13","author":"Gianni","year":"2012","journal-title":"Lancet Oncol."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"2024","DOI":"10.1200\/JCO.2009.23.8451","article-title":"Neoadjuvant Treatment with Trastuzumab in HER2-Positive Breast Cancer: Results from the GeparQuattro Study","volume":"28","author":"Untch","year":"2010","journal-title":"J. Clin. Oncol."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"1981","DOI":"10.1056\/NEJMoa2409932","article-title":"Overall Survival with Pembrolizumab in Early-Stage Triple-Negative Breast Cancer","volume":"391","author":"Schmid","year":"2024","journal-title":"N. Engl. J. Med."}],"container-title":["Diagnostics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2075-4418\/16\/17\/2853\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,9,9]],"date-time":"2026-09-09T04:23:11Z","timestamp":1788927791000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2075-4418\/16\/17\/2853"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,9,4]]},"references-count":45,"journal-issue":{"issue":"17","published-online":{"date-parts":[[2026,9]]}},"alternative-id":["diagnostics16172853"],"URL":"https:\/\/doi.org\/10.3390\/diagnostics16172853","relation":{},"ISSN":["2075-4418"],"issn-type":[{"value":"2075-4418","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,9,4]]}}}