{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,8]],"date-time":"2026-05-08T22:13:18Z","timestamp":1778278398807,"version":"3.51.4"},"reference-count":51,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2026,3,29]],"date-time":"2026-03-29T00:00:00Z","timestamp":1774742400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"},{"start":{"date-parts":[[2026,5,8]],"date-time":"2026-05-08T00:00:00Z","timestamp":1778198400000},"content-version":"vor","delay-in-days":40,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["BMC Women's Health"],"DOI":"10.1186\/s12905-026-04419-w","type":"journal-article","created":{"date-parts":[[2026,3,29]],"date-time":"2026-03-29T13:44:48Z","timestamp":1774791888000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Early predictive value of calcification on ultrasound and mammography for pathological complete response to neoadjuvant chemotherapy in breast cancer"],"prefix":"10.1186","volume":"26","author":[{"given":"Ning","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jinyan","family":"Fang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Li","family":"Qu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2026,3,29]]},"reference":[{"key":"4419_CR1","unstructured":"Wild C P, Weiderpass E, Stewart B W, eds. World Cancer Report: Cancer Research for Cancer Prevention [M]. Lyon: International Agency for Research on Cancer (IARC), 2020. ISBN: 978-92-832-0447-3 (print), 978-92-832-0448-0 (e-book)."},{"key":"4419_CR2","doi-asserted-by":"publisher","unstructured":"Bray F, Laversanne M, Sung H, Ferlay J, Siegel RL, Soerjomataram I, Jemal A. Global cancer statistics 2022: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries [J]. CA Cancer J Clin, 2024;74(3):229-263. https:\/\/doi.org\/10.3322\/caac.21834.","DOI":"10.3322\/caac.21834"},{"issue":"3","key":"4419_CR3","doi-asserted-by":"publisher","first-page":"288","DOI":"10.1001\/jama.2018.19323","volume":"321","author":"AG Waks","year":"2019","unstructured":"Waks AG, Winer EP. Breast cancer treatment: a review. JAMA. 2019;321(3):288.","journal-title":"JAMA"},{"issue":"2","key":"4419_CR4","doi-asserted-by":"publisher","first-page":"1","DOI":"10.12968\/hmed.2021.0459","volume":"83","author":"C Katsura","year":"2022","unstructured":"Katsura C, Ogunmwonyi I, Kankam HK, et al. Breast cancer\u202f: presentation, investigation and management[J]. Br J Hosp Med (Lond). 2022;83(2):1\u20137.","journal-title":"Br J Hosp Med (Lond)."},{"issue":"Suppl 1","key":"4419_CR5","doi-asserted-by":"publisher","first-page":"S31","DOI":"10.1016\/S0960-9776(19)31119-1","volume":"48","author":"LA Carey","year":"2019","unstructured":"Carey LA. Research priorities in prediction of response in early breast cancer [J]. Breast (Edinburgh, Scotland). 2019;48(Suppl 1):S31\u20133.","journal-title":"Breast (Edinburgh, Scotland)"},{"key":"4419_CR6","doi-asserted-by":"publisher","first-page":"12","DOI":"10.1016\/j.breast.2022.01.006","volume":"62","author":"N Harbeck","year":"2022","unstructured":"Harbeck N. Neoadjuvant and adjuvant treatment of patients with HER2-positive early breast cancer. Breast. 2022;62:12\u20136.","journal-title":"Breast"},{"issue":"1","key":"4419_CR7","doi-asserted-by":"publisher","first-page":"27","DOI":"10.1016\/S1470-2045(17)30777-5","volume":"19","author":"B Asselain","year":"2018","unstructured":"Asselain B, Barlow W, Bartlett J, et al. Long-term outcomes for neoadjuvant versus adjuvant chemotherapy in early breast cancer: meta-analysis of individual patient data from ten randomised trials [J]. Lancet Oncol. 2018;19(1):27\u201339.","journal-title":"Lancet Oncol"},{"issue":"8","key":"4419_CR8","doi-asserted-by":"publisher","first-page":"1421","DOI":"10.1038\/s41416-020-01251-3","volume":"124","author":"E Laas","year":"2021","unstructured":"Laas E, Labrosse J, Hamy AS, et al. Determination of breast cancer prognosis after neoadjuvant chemotherapy: comparison of Residual Cancer Burden (RCB)and Neo-Bioscore [J]. Br J Cancer. 2021;124(8):1421\u20137.","journal-title":"Br J Cancer"},{"issue":"1","key":"4419_CR9","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1097\/SPC.0000000000000020","volume":"8","author":"D Simos","year":"2014","unstructured":"Simos D, Clemons M, Ginsburg OM, et al. Definition and consequences of locally advanced breast cancer. Curr Opin Support Palliat Care. 2014;8(1):33\u20138.","journal-title":"Curr Opin Support Palliat Care"},{"issue":"6","key":"4419_CR10","doi-asserted-by":"publisher","first-page":"356","DOI":"10.1016\/j.surge.2023.04.001","volume":"21","author":"A Ofri","year":"2023","unstructured":"Ofri A, Elstner K, Mann GB, et al. Neoadjuvant chemotherapy in non-metastatic breast cancer: the surgeon\u2019s perspective. Surgeon. 2023;21(6):356\u201360.","journal-title":"Surgeon"},{"key":"4419_CR11","doi-asserted-by":"publisher","first-page":"2099","DOI":"10.1007\/s00330-021-08293-y","volume":"32","author":"J Gu","year":"2022","unstructured":"Gu J, Tong T, He C, et al. Deep learning radiomics of ultrasonography can predict response to neoadjuvant chemotherapy in breast cancer at an early stage of treatment: a prospective study [J]. Eur Radiol. 2022;32:2099\u2013109.","journal-title":"Eur Radiol"},{"issue":"11","key":"4419_CR12","doi-asserted-by":"publisher","first-page":"573","DOI":"10.1159\/000508139","volume":"43","author":"C Li","year":"2020","unstructured":"Li C, Ma RZ, Han GY, et al. A potential predictive biomarker formiller\/payne grading: PD-L1 expression before neoadjuvant chemotherapy in breast cancer[J]. Oncol Res Treat. 2020;43(11):573\u201383.","journal-title":"Oncol Res Treat."},{"issue":"4","key":"4419_CR13","doi-asserted-by":"publisher","first-page":"608","DOI":"10.1097\/SLA.0000000000000924","volume":"260","author":"JC Boughey","year":"2014","unstructured":"Boughey JC, McCall LM, Ballman KV, et al. 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. Ann Surg. 2014;260(4):608\u201316.","journal-title":"Ann Surg"},{"issue":"3","key":"4419_CR14","doi-asserted-by":"publisher","first-page":"789","DOI":"10.1245\/s10434-015-4918-0","volume":"23","author":"B Schaefgen","year":"2016","unstructured":"Schaefgen B, Mati M, Sinn HP, et al. Can Routine Imaging After Neoadjuvant Chemotherapy in Breast Cancer Predict Pathologic Complete Response? [J]. Ann Surg Oncol. 2016;23(3):789\u201395.","journal-title":"Ann Surg Oncol"},{"issue":"5","key":"4419_CR15","doi-asserted-by":"publisher","first-page":"717","DOI":"10.2967\/jnumed.122.264871","volume":"64","author":"P Backhaus","year":"2023","unstructured":"Backhaus P, Burg MC, Asmus I, et al. Initial results of Ga-FAPI-46PET\/MRI to assess response to neoadjuvant chemotherapy in breast cancer [J]. J Nucl Med. 2023;64(5):717\u201323.","journal-title":"J Nucl Med."},{"issue":"2","key":"4419_CR16","doi-asserted-by":"publisher","first-page":"355","DOI":"10.1007\/s40477-022-00755-3","volume":"26","author":"GF Tadesse","year":"2023","unstructured":"Tadesse GF, Tegaw EM, Abdisa EK. Diagnostic performance of mammography and ultrasound in breast cancer: a systematic review and meta-analysis. J Ultrasound. 2023;26(2):355\u201367.","journal-title":"J Ultrasound"},{"issue":"11","key":"4419_CR17","doi-asserted-by":"publisher","first-page":"3160","DOI":"10.1245\/s10434-011-1919-5","volume":"18","author":"R Croshaw","year":"2011","unstructured":"Croshaw R, Shapiro-Wright H, Svensson E, et al. Accuracy of clinical examination, digital mammogram, ultrasound, and MRI in determining postneoadjuvant pathologic tumor response in operable breast cancer patients. Ann Surg Oncol. 2011;18(11):3160\u20133.","journal-title":"Ann Surg Oncol"},{"issue":"1","key":"4419_CR18","doi-asserted-by":"publisher","first-page":"83","DOI":"10.1007\/s10549-017-4155-2","volume":"163","author":"B Goorts","year":"2017","unstructured":"Goorts B, Van Nijnatten TJA, De Munck L, et al. Clinical tumor stage is the most important predictor of pathological complete response rate after neoadjuvant chemotherapy in breast cancer patients. Breast Cancer Res Treat. 2017;163(1):83\u201391.","journal-title":"Breast Cancer Res Treat"},{"issue":"3","key":"4419_CR19","doi-asserted-by":"publisher","first-page":"e6930","DOI":"10.1002\/cam4.6930","volume":"13","author":"G Houvenaeghel","year":"2024","unstructured":"Houvenaeghel G, De Nonneville A, Cohen M, et al. Neoadjuvant chemotherapy for breast cancer: Pathologic response rates but not tumor size, has an independent prognostic impact on survival [J]. Cancer Med. 2024;13(3):e6930.","journal-title":"Cancer Med"},{"key":"4419_CR20","doi-asserted-by":"publisher","first-page":"175883592199667","DOI":"10.1177\/1758835921996673","volume":"13","author":"J Hong","year":"2021","unstructured":"Hong J, Tong Y, He J, et al. Association between tumor molecular subtype, clinical stage and axillary pathological response in breast cancer patients undergoing complete pathological remission after neoadjuvant chemotherapy: potential implications for de-escalation of axillary surgery [J]. Ther Adv Med Oncol. 2021;13:175883592199667.","journal-title":"Ther Adv Med Oncol"},{"key":"4419_CR21","first-page":"441","volume":"368","author":"D Rildyr","year":"2020","unstructured":"Rildyr D, Ensor J, Snell K, et al. Calculating the sample size required for developing a clinical prediction model [J]. BMJ. 2020;368:441.","journal-title":"BMJ"},{"issue":"1","key":"4419_CR22","doi-asserted-by":"publisher","first-page":"79","DOI":"10.2217\/pgs.14.148","volume":"16","author":"A Koutras","year":"2015","unstructured":"Koutras A, Kotoula V, Fountzilas G. Prognostic and predictive role of vascular endothelial growth factor polymorphisms in breast cancer. Pharmacogenomics. 2015;16(1):79\u201394.","journal-title":"Pharmacogenomics"},{"issue":"2","key":"4419_CR23","doi-asserted-by":"publisher","first-page":"269","DOI":"10.1007\/s00432-012-1325-9","volume":"139","author":"D Angelucci","year":"2013","unstructured":"Angelucci D, Tinari N, Grassadonia A, et al. Long-term outcome of neoadjuvantsystemic therapy for locally advanced breast cancer in routine clinical practice[J]. J Cancer Res Clin Oncol. 2013;139(2):269\u201380.","journal-title":"J Cancer Res Clin Oncol."},{"issue":"7","key":"4419_CR24","first-page":"53","volume":"105","author":"MR Lamb","year":"2012","unstructured":"Lamb MR, Gretsen E, Middlemas E. Metaplastic breast cancer: a presentation of twocases and a review of the literature. Tenn Med. 2012;105(7):53\u20135.","journal-title":"Tenn Med"},{"issue":"1","key":"4419_CR25","doi-asserted-by":"publisher","first-page":"e241805","DOI":"10.1148\/radiol.241805","volume":"315","author":"Y Huang","year":"2025","unstructured":"Huang Y, Wang X, Cao Y, et al. Nomogram for Predicting Neoadjuvant Chemotherapy Response in Breast Cancer Using MRI-based Intratumoral Heterogeneity Quantification. Radiology. 2025;315(1):e241805.","journal-title":"Radiology"},{"issue":"1","key":"4419_CR26","doi-asserted-by":"publisher","first-page":"431","DOI":"10.1186\/s12885-023-10817-2","volume":"23","author":"J Zhang","year":"2023","unstructured":"Zhang J, Qi Wu, Yin W, et al. Development and validation of a radiopathomic model for predicting pathologic complete response to neoadjuvant chemotherapy in breast cancer patients. BMC Cancer. 2023;23(1):431.","journal-title":"BMC Cancer"},{"key":"4419_CR27","doi-asserted-by":"publisher","first-page":"319","DOI":"10.3389\/fonc.2018.00319","volume":"8","author":"U Sharma","year":"2018","unstructured":"Sharma U, Agarwal K, Sah RG, et al. Can Multi-Parametric MR Based Approach Improve the Predictive Value of Pathological and Clinical Therapeutic Response in Breast Cancer Patients? [J]. Front Oncol. 2018;8:319.","journal-title":"Front Oncol"},{"issue":"9","key":"4419_CR28","doi-asserted-by":"publisher","first-page":"6121","DOI":"10.1007\/s00330-024-10638-2","volume":"34","author":"Q Wang","year":"2024","unstructured":"Wang Q, Lin Y, Ding C, et al. Multi-modality radiomics model predicts axillary lymph node metastasis of breast cancer using MRI and mammography. Eur Radiol. 2024;34(9):6121\u201331.","journal-title":"Eur Radiol"},{"issue":"2","key":"4419_CR29","doi-asserted-by":"publisher","first-page":"e0142047","DOI":"10.1371\/journal.pone.0142047","volume":"11","author":"WC Lo","year":"2016","unstructured":"Lo WC, Li W, Jones EF, et al. Effect of Imaging Parameter Thresholds on MRI Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer Subtypes [J]. PLoS ONE. 2016;11(2):e0142047.","journal-title":"PLoS ONE"},{"issue":"6","key":"4419_CR30","doi-asserted-by":"publisher","first-page":"903","DOI":"10.1002\/jso.25663","volume":"120","author":"SF Sener","year":"2019","unstructured":"Sener SF, Sargent RE, Lee C, et al. MRI does not predict pathologic complete response after neoadjuvant chemotherapy for breast cancer [J]. J Surg Oncol. 2019;120(6):903\u201310.","journal-title":"J Surg Oncol"},{"issue":"6","key":"4419_CR31","doi-asserted-by":"publisher","first-page":"1492","DOI":"10.1245\/s10434-016-5741-y","volume":"24","author":"Y Feliciano","year":"2017","unstructured":"Feliciano Y, Mamtani A, Morrow M, et al. Do Calcifications Seen on Mammography After Neoadjuvant Chemotherapy for Breast Cancer Always Need to Be Excised? [J]. Ann Surg Oncol. 2017;24(6):1492\u20138.","journal-title":"Ann Surg Oncol"},{"issue":"3","key":"4419_CR32","doi-asserted-by":"publisher","first-page":"466","DOI":"10.1007\/s12282-016-0729-9","volume":"24","author":"M Vernet-Tomas","year":"2017","unstructured":"Vernet-Tomas M, Mojal S, Gamero R, et al. Mammographic extent of microcalcifications and oestrogen receptor expression affect preoperative breast carcinoma in situ size estimation [J]. Breast Cancer. 2017;24(3):466\u201372.","journal-title":"Breast Cancer"},{"issue":"1","key":"4419_CR33","doi-asserted-by":"publisher","first-page":"e82","DOI":"10.1016\/j.clbc.2019.05.015","volume":"20","author":"A Fushimi","year":"2020","unstructured":"Fushimi A, Kudo R, Takeyama H. Do decreased breast microcalcifications after neoadjuvant chemotherapy predict pathologic complete response? Clin Breast Cancer. 2020;20(1):e82\u20138.","journal-title":"Clin Breast Cancer"},{"issue":"12","key":"4419_CR34","doi-asserted-by":"publisher","first-page":"2065","DOI":"10.1016\/j.ultrasmedbio.2012.07.027","volume":"38","author":"X Cao","year":"2012","unstructured":"Cao X, Xue J, Zhao B. Potential application value of contrast-enhanced ultrasound in neoadjuvant chemotherapy of breast cancer. Ultrasound Med Biol. 2012;38(12):2065\u201371.","journal-title":"Ultrasound Med Biol"},{"issue":"2","key":"4419_CR35","doi-asserted-by":"publisher","first-page":"465","DOI":"10.1053\/j.jvca.2019.07.002","volume":"34","author":"E Hashimoto","year":"2020","unstructured":"Hashimoto E, Kojima A, Kitagawa H, et al. Anesthetic management of a patient with type 1 long QT syndrome using combined epidural-spinal anesthesia for caesarean section: perioperative approach based on ion channel function[J]. J Cardiothor Vasc An. 2020;34(2):465\u20139.","journal-title":"J Cardiothor Vasc An"},{"issue":"3","key":"4419_CR36","doi-asserted-by":"publisher","first-page":"356","DOI":"10.1002\/cncr.34540","volume":"129","author":"J Gu","year":"2023","unstructured":"Gu J, Tong T, Xu D, et al. Deep learning radiomics of ultrasonography for comprehensively predicting tumor and axillary lymph node status after neoadjuvant chemotherapy in breast cancer patients: a multicenter study [J]. Cancer. 2023;129(3):356\u201366.","journal-title":"Cancer"},{"issue":"3","key":"4419_CR37","doi-asserted-by":"publisher","first-page":"256","DOI":"10.1593\/tlo.13130","volume":"6","author":"NC Atuegwu","year":"2013","unstructured":"Atuegwu NC, Arlinghaus LR, Li X, et al. Parameterizing the logistic model of tumor growth by DW-MRI and DCE-MRI data to predict treatment response and changes in breast cancer cellularity during neoadjuvant chemotherapy. Transl Oncol. 2013;6(3):256\u201364.","journal-title":"Transl Oncol"},{"issue":"1","key":"4419_CR38","doi-asserted-by":"publisher","first-page":"25","DOI":"10.1016\/S1470-2045(11)70336-9","volume":"13","author":"L Gianni","year":"2012","unstructured":"Gianni L, Pienkowski T, Im YH, et al. 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. Lancet Oncol. 2012;13(1):25\u201332.","journal-title":"Lancet Oncol"},{"issue":"1","key":"4419_CR39","doi-asserted-by":"publisher","first-page":"24","DOI":"10.1016\/j.acra.2024.07.048","volume":"32","author":"W Liu","year":"2025","unstructured":"Liu W, Yang Y, Wang X, et al. A comprehensive model outperformed the single radiomics model in noninvasively predicting the HER2status in patients with breast cancer. Acad Radiol. 2025;32(1):24\u201336.","journal-title":"Acad Radiol"},{"issue":"5","key":"4419_CR40","first-page":"1522","volume":"23","author":"P Baron","year":"2016","unstructured":"Baron P, Beitsch P, Boselli D, et al. Impact of Tumor Size on Probability of Pathologic Complete Response After Neoadjuvant Chemotherapy [J]. Ann SurgOncol. 2016;23(5):1522\u20139.","journal-title":"Ann SurgOncol"},{"issue":"S1","key":"4419_CR41","doi-asserted-by":"publisher","first-page":"S27","DOI":"10.3233\/BD-219004","volume":"40","author":"M Husni Cangara","year":"2021","unstructured":"Husni Cangara M, Miskad UA, Masadah R, et al. Gata-3 and KI-67expression in correlation with molecular subtypes of breast cancer[J]. Breast Dis. 2021;40(S1):S27\u201331.","journal-title":"Breast Dis."},{"issue":"5","key":"4419_CR42","first-page":"e15064","volume":"13","author":"NA Siddiqui","year":"2021","unstructured":"Siddiqui NA, Malik M, Wijeratne Fernando R, et al. D-Dimer: A Potential Solution to Problems of Cancer Screening, Surveil-lance, and Prognosis Assessment[J]. Cureus. 2021;13(5):e15064.","journal-title":"Cureus"},{"issue":"4","key":"4419_CR43","doi-asserted-by":"publisher","first-page":"288","DOI":"10.5455\/medarh.2022.76.288-291","volume":"76","author":"D Hermansyah","year":"2022","unstructured":"Hermansyah D, Firsty NN, Nasution RB, et al. D -dimer as a Predictive Factor of Axillary Lymph Node Metastases in Operable Breast Cancer Patients in the Teaching Hospital of Universitas Sumatera Utara[J]. Med Arch. 2022;76(4):288\u201391.","journal-title":"Med Arch"},{"issue":"2","key":"4419_CR44","doi-asserted-by":"publisher","first-page":"352","DOI":"10.1016\/j.ijrobp.2006.04.046","volume":"66","author":"EH Huang","year":"2006","unstructured":"Huang EH, Strom EA, Perkins GH, et al. Comparison of risk of local-regional recurrence after mastectomy or breast conservation therapy for patients treated with neoadjuvant chemotherapy and radiation stratified according to a prognostic index score. Int J Radiat Oncol Biol Phys. 2006;66(2):352\u20137.","journal-title":"Int J Radiat Oncol Biol Phys"},{"issue":"2","key":"4419_CR45","doi-asserted-by":"publisher","first-page":"111","DOI":"10.1016\/j.pathol.2016.10.012","volume":"49","author":"E Rakha","year":"2017","unstructured":"Rakha E, Green A. Molecular classification of breast cancer: what the pathologist needs to know. Pathology. 2017;49(2):111\u20139.","journal-title":"Pathology"},{"issue":"1","key":"4419_CR46","doi-asserted-by":"publisher","first-page":"156","DOI":"10.1007\/s11596-023-2824-4","volume":"44","author":"ZG Yang","year":"2024","unstructured":"Yang ZG, Ren LH, Wang F, et al. Ki-67 change in anthracyline-containing neoadjuvant chemotherapy response in breast cancer [J]. Curr Med Sci. 2024;44(1):156\u201367.","journal-title":"Curr Med Sci"},{"issue":"12","key":"4419_CR47","doi-asserted-by":"publisher","first-page":"1571","DOI":"10.1016\/j.annonc.2021.09.015","volume":"32","author":"N Harbeck","year":"2021","unstructured":"Harbeck N, Rastogi P, Martin M, et al. Adjuvant abemaciclib combined with endocrine therapy for high-risk early breast cancer: updated efficacy and Ki-67 analysis from the monarche study[J]. Ann Oncol. 2021;32(12):1571\u201381.","journal-title":"Ann Oncol."},{"issue":"6","key":"4419_CR48","doi-asserted-by":"publisher","first-page":"660","DOI":"10.1200\/JCO.2010.31.1258","volume":"29","author":"CE Loo","year":"2011","unstructured":"Loo CE, et al. Magnetic resonance imaging response monitoring of breast cancer during neoadjuvant chemotherapy: relevance of breast cancer subtype. J Clin Oncol. 2011;29(6):660\u20136.","journal-title":"J Clin Oncol"},{"issue":"3","key":"4419_CR49","doi-asserted-by":"publisher","first-page":"2969","DOI":"10.3390\/ijms24032969","volume":"24","author":"S Nadine","year":"2023","unstructured":"Nadine S, Anh H, Agnes J, et al. Triple-Negative Breast Cancer and Predictive Markers of Response to Neoadjuvant Chemotherapy: A Systematic Review. Int J Mol Sci. 2023;24(3):2969.","journal-title":"Int J Mol Sci"},{"issue":"6","key":"4419_CR50","doi-asserted-by":"publisher","first-page":"1154","DOI":"10.1111\/tbj.13422","volume":"25","author":"Z Shi","year":"2019","unstructured":"Shi Z, Qiu P, Liu Y, et al. Neo-adjuvant chemotherapy and axillary de-escalation management for patients with clinically node-negative breast cancer. Breast J. 2019;25(6):1154\u201361.","journal-title":"Breast J"},{"issue":"4","key":"4419_CR51","doi-asserted-by":"publisher","first-page":"769","DOI":"10.1016\/j.ijrobp.2017.06.005","volume":"99","author":"M Brackstone","year":"2017","unstructured":"Brackstone M, Palma D, Tuck AB, et al. Concurrent Neoadjuvant Chemotherapy and Radiation Therapy in Locally Advanced Breast Cancer [J]. Int J Radiat Oncol Biol Phys. 2017;99(4):769\u201376.","journal-title":"Int J Radiat Oncol Biol Phys"}],"container-title":["BMC Women's Health"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/article\/10.1186\/s12905-026-04419-w","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s12905-026-04419-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s12905-026-04419-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,8]],"date-time":"2026-05-08T22:02:12Z","timestamp":1778277732000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1186\/s12905-026-04419-w"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,3,29]]},"references-count":51,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2026,12]]}},"alternative-id":["4419"],"URL":"https:\/\/doi.org\/10.1186\/s12905-026-04419-w","relation":{},"ISSN":["1472-6874"],"issn-type":[{"value":"1472-6874","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,3,29]]},"assertion":[{"value":"7 November 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"19 March 2026","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"29 March 2026","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"This study was conducted in accordance with the Helsinki Declaration of the World Medical Association. This study was approved by the ethical review board of Affiliated Hangzhou First People\u2019s Hospital. Written informed consent to participate in this study was provided by the patients.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval and consent to participate"}},{"value":"Not Applicable.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}},{"value":"The authors declare no competing interests.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"238"}}