{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,12]],"date-time":"2026-09-12T22:48:29Z","timestamp":1789253309436,"version":"build-2803163510"},"reference-count":44,"publisher":"Springer Science and Business Media LLC","license":[{"start":{"date-parts":[[2026,5,12]],"date-time":"2026-05-12T00:00:00Z","timestamp":1778544000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,5,12]],"date-time":"2026-05-12T00:00:00Z","timestamp":1778544000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Virchows Arch"],"DOI":"10.1007\/s00428-026-04578-z","type":"journal-article","created":{"date-parts":[[2026,5,12]],"date-time":"2026-05-12T08:20:19Z","timestamp":1778574019000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["The promise of artificial intelligence in diagnostic breast pathology"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8659-4342","authenticated-orcid":false,"given":"Shahla","family":"Masood","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mohsin","family":"Jamal","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Aliaksandr","family":"Obukhau","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Carmen","family":"Smotherman","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tasnuva","family":"Rashid","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zoobia","family":"Khan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Noor","family":"Marji","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,5,12]]},"reference":[{"issue":"3","key":"4578_CR1","doi-asserted-by":"publisher","first-page":"209","DOI":"10.3322\/caac.21660","volume":"71","author":"H Sung","year":"2021","unstructured":"Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A et al (2021) Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries. CA Cancer J Clin 71(3):209\u2013249. https:\/\/doi.org\/10.3322\/caac.21660","journal-title":"CA Cancer J Clin"},{"issue":"3","key":"4578_CR2","doi-asserted-by":"publisher","first-page":"190","DOI":"10.1097\/PAP.0b013e31821698cc","volume":"18","author":"S Masood","year":"2011","unstructured":"Masood S, Rosa M (2011) Borderline breast lesions: diagnostic challenges and clinical implications. Adv Anat Pathol 18(3):190\u2013198. https:\/\/doi.org\/10.1097\/PAP.0b013e31821698cc","journal-title":"Adv Anat Pathol"},{"issue":"5","key":"4578_CR3","doi-asserted-by":"publisher","first-page":"336","DOI":"10.1046\/j.1524-4741.1998.450336.x","volume":"4","author":"S Masood","year":"1998","unstructured":"Masood S (1998) Molecular Distinction Between Atypical Ductal Hyperplasia and Ductal Carcinoma In Situ. Breast J 4(5):336\u2013343. https:\/\/doi.org\/10.1046\/j.1524-4741.1998.450336.x","journal-title":"Breast J"},{"issue":"1","key":"4578_CR4","doi-asserted-by":"publisher","first-page":"e123","DOI":"10.1016\/j.clbc.2021.05.004","volume":"22","author":"R Memon","year":"2022","unstructured":"Memon R, Prieto Granada CN, Harada S, Winokur T, Reddy V, Kahn AG et al (2022) Discordance Between Immunohistochemistry and In Situ Hybridization to Detect HER2 Overexpression\/Gene Amplification in Breast Cancer in the Modern Age: A Single Institution Experience and Pooled Literature Review Study. Clin Breast Cancer 22(1):e123\u2013e33. https:\/\/doi.org\/10.1016\/j.clbc.2021.05.004","journal-title":"Clin Breast Cancer"},{"issue":"9","key":"4578_CR5","doi-asserted-by":"publisher","first-page":"1342","DOI":"10.1038\/labinvest.2012.91","volume":"92","author":"SJ Potts","year":"2012","unstructured":"Potts SJ, Krueger JS, Landis ND, Eberhard DA, David Young G, Schmechel SC et al (2012) Evaluating tumor heterogeneity in immunohistochemistry-stained breast cancer tissue. Lab Invest 92(9):1342\u20131357. https:\/\/doi.org\/10.1038\/labinvest.2012.91","journal-title":"Lab Invest"},{"issue":"9","key":"4578_CR6","doi-asserted-by":"publisher","first-page":"1132","DOI":"10.5858\/arpa.2020-0451-OA","volume":"145","author":"RS Hoda","year":"2021","unstructured":"Hoda RS, Brogi E, D\u2019Alfonso TM, Grabenstetter A, Giri D, Hanna MG et al (2021) Interobserver Variation of PD-L1 SP142 Immunohistochemistry Interpretation in Breast Carcinoma: A Study of 79 Cases Using Whole Slide Imaging. Arch Pathol Lab Med 145(9):1132\u20131137. https:\/\/doi.org\/10.5858\/arpa.2020-0451-OA","journal-title":"Arch Pathol Lab Med"},{"issue":"1","key":"4578_CR7","doi-asserted-by":"publisher","first-page":"100032","DOI":"10.1016\/j.modpat.2022.100032","volume":"36","author":"CJ Robbins","year":"2023","unstructured":"Robbins CJ, Fernandez AI, Han G, Wong S, Harigopal M, Podoll M et al (2023) Multi-institutional Assessment of Pathologist Scoring HER2 Immunohistochemistry. Mod Pathol 36(1):100032. https:\/\/doi.org\/10.1016\/j.modpat.2022.100032","journal-title":"Mod Pathol"},{"issue":"1","key":"4578_CR8","doi-asserted-by":"publisher","first-page":"27","DOI":"10.1111\/tbj.13728","volume":"26","author":"S Masood","year":"2020","unstructured":"Masood S (2020) The changing role of pathologists from morphologists to molecular pathologists in the era of precision medicine. Breast J 26(1):27\u201334. https:\/\/doi.org\/10.1111\/tbj.13728","journal-title":"Breast J"},{"issue":"11","key":"4578_CR9","doi-asserted-by":"publisher","first-page":"2115","DOI":"10.1038\/s41379-020-0601-5","volume":"33","author":"MG Hanna","year":"2020","unstructured":"Hanna MG, Reuter VE, Ardon O, Kim D, Sirintrapun SJ, Sch\u00fcffler PJ et al (2020) Validation of a digital pathology system including remote review during the COVID-19 pandemic. Mod Pathol 33(11):2115\u20132127. https:\/\/doi.org\/10.1038\/s41379-020-0601-5","journal-title":"Mod Pathol"},{"issue":"4","key":"4578_CR10","doi-asserted-by":"publisher","first-page":"662","DOI":"10.1111\/his.13403","volume":"72","author":"BJ Williams","year":"2018","unstructured":"Williams BJ, Hanby A, Millican-Slater R, Nijhawan A, Verghese E, Treanor D (2018) Digital pathology for the primary diagnosis of breast histopathological specimens: an innovative validation and concordance study on digital pathology validation and training. Histopathology 72(4):662\u2013671. https:\/\/doi.org\/10.1111\/his.13403","journal-title":"Histopathology"},{"issue":"8","key":"4578_CR11","doi-asserted-by":"publisher","first-page":"1301","DOI":"10.1038\/s41591-019-0508-1","volume":"25","author":"G Campanella","year":"2019","unstructured":"Campanella G, Hanna MG, Geneslaw L, Miraflor A, Werneck Krauss Silva V, Busam KJ et al (2019) Clinical-grade computational pathology using weakly supervised deep learning on whole slide images. Nat Med 25(8):1301\u20131309. https:\/\/doi.org\/10.1038\/s41591-019-0508-1","journal-title":"Nat Med"},{"issue":"7","key":"4578_CR12","doi-asserted-by":"publisher","first-page":"846","DOI":"10.1097\/pas.0000000000002248","volume":"48","author":"JA Retamero","year":"2024","unstructured":"Retamero JA, Gulturk E, Bozkurt A, Liu S, Gorgan M, Moral L et al (2024) Artificial Intelligence Helps Pathologists Increase Diagnostic Accuracy and Efficiency in the Detection of Breast Cancer Lymph Node Metastases. Am J Surg Pathol 48(7):846\u2013854. https:\/\/doi.org\/10.1097\/pas.0000000000002248","journal-title":"Am J Surg Pathol"},{"key":"4578_CR13","unstructured":"Mitosis Domain Generalization Challenge (2022) In: IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops"},{"key":"4578_CR14","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1038\/s41586-021-03512-4","volume":"594","author":"M Lu","year":"2021","unstructured":"Lu M, Chen T, Williamson D, Zhao M, Shady M, Lipkova J et al (2021) AI-based pathology predicts origins for cancers of unknown primary. Nature 594:1\u20135. https:\/\/doi.org\/10.1038\/s41586-021-03512-4","journal-title":"Nature"},{"issue":"1","key":"4578_CR15","doi-asserted-by":"publisher","first-page":"37","DOI":"10.1177\/001316446002000104","volume":"20","author":"J Cohen","year":"1960","unstructured":"Cohen J (1960) A Coefficient of Agreement for Nominal Scales. Educ Psychol Meas 20(1):37\u201346. https:\/\/doi.org\/10.1177\/001316446002000104","journal-title":"Educ Psychol Meas"},{"issue":"1","key":"4578_CR16","doi-asserted-by":"publisher","first-page":"159","DOI":"10.2307\/2529310","volume":"33","author":"JR Landis","year":"1977","unstructured":"Landis JR, Koch GG (1977) The measurement of observer agreement for categorical data. Biometrics 33(1):159\u2013174","journal-title":"Biometrics"},{"issue":"11","key":"4578_CR17","doi-asserted-by":"publisher","first-page":"1122","DOI":"10.1001\/jama.2015.1405","volume":"313","author":"JG Elmore","year":"2015","unstructured":"Elmore JG, Longton GM, Carney PA, Geller BM, Onega T, Tosteson AN et al (2015) Diagnostic concordance among pathologists interpreting breast biopsy specimens. JAMA 313(11):1122\u20131132. https:\/\/doi.org\/10.1001\/jama.2015.1405","journal-title":"JAMA"},{"issue":"6","key":"4578_CR18","doi-asserted-by":"publisher","first-page":"Cd001877","DOI":"10.1002\/14651858.CD001877.pub5","volume":"2013","author":"PC G\u00f8tzsche","year":"2013","unstructured":"G\u00f8tzsche PC, J\u00f8rgensen KJ (2013) Screening for breast cancer with mammography. Cochrane Database Syst Rev 2013(6):Cd001877. https:\/\/doi.org\/10.1002\/14651858.CD001877.pub5","journal-title":"Cochrane Database Syst Rev"},{"issue":"7","key":"4578_CR19","doi-asserted-by":"publisher","first-page":"2014","DOI":"10.1038\/bjc.2013.427","volume":"109","author":"PH Zahl","year":"2013","unstructured":"Zahl PH, J\u00f8rgensen KJ, G\u00f8tzsche PC (2013) Overestimated lead times in cancer screening has led to substantial underestimation of overdiagnosis. Br J Cancer 109(7):2014\u20132019. https:\/\/doi.org\/10.1038\/bjc.2013.427","journal-title":"Br J Cancer"},{"issue":"21","key":"4578_CR20","doi-asserted-by":"publisher","first-page":"1998","DOI":"10.1056\/NEJMoa1206809","volume":"367","author":"A Bleyer","year":"2012","unstructured":"Bleyer A, Welch HG (2012) Effect of three decades of screening mammography on breast-cancer incidence. N Engl J Med 367(21):1998\u20132005. https:\/\/doi.org\/10.1056\/NEJMoa1206809","journal-title":"N Engl J Med"},{"issue":"2","key":"4578_CR21","doi-asserted-by":"publisher","first-page":"142","DOI":"10.1093\/jnci\/90.2.142","volume":"90","author":"WA Wells","year":"1998","unstructured":"Wells WA, Carney PA, Eliassen MS, Tosteson AN, Greenberg ER (1998) Statewide Study of Diagnostic Agreement in Breast Pathology. JNCI: J Natl Cancer Inst 90(2):142\u2013145. https:\/\/doi.org\/10.1093\/jnci\/90.2.142","journal-title":"JNCI: J Natl Cancer Inst"},{"issue":"12","key":"4578_CR22","doi-asserted-by":"publisher","first-page":"1133","DOI":"10.1097\/00000478-199212000-00001","volume":"16","author":"SJ Schnitt","year":"1992","unstructured":"Schnitt SJ, Connolly JL, Tavassoli FA, Fechner RE, Kempson RL, Gelman R et al (1992) Interobserver reproducibility in the diagnosis of ductal proliferative breast lesions using standardized criteria. Am J Surg Pathol 16(12):1133\u20131143. https:\/\/doi.org\/10.1097\/00000478-199212000-00001","journal-title":"Am J Surg Pathol"},{"issue":"3","key":"4578_CR23","doi-asserted-by":"publisher","first-page":"267","DOI":"10.1016\/j.mcpdig.2023.05.008","volume":"1","author":"M Co","year":"2023","unstructured":"Co M, Lau YCC, Qian YXY, Chan MCR, Wong DK, Lui KH et al (2023) Artificial Intelligence in Histologic Diagnosis of Ductal Carcinoma In Situ. Mayo Clin Proc Digit Health 1(3):267\u2013275. https:\/\/doi.org\/10.1016\/j.mcpdig.2023.05.008","journal-title":"Mayo Clin Proc Digit Health"},{"key":"4578_CR24","doi-asserted-by":"publisher","first-page":"105819","DOI":"10.1016\/j.humpath.2025.105819","volume":"162","author":"S Datwani","year":"2025","unstructured":"Datwani S, Khan H, Niazi MKK, Parwani AV, Li Z (2025) Artificial intelligence in breast pathology: Overview and recent updates. Hum Pathol 162:105819. https:\/\/doi.org\/10.1016\/j.humpath.2025.105819","journal-title":"Hum Pathol"},{"issue":"10","key":"4578_CR25","doi-asserted-by":"publisher","first-page":"100254","DOI":"10.1016\/j.modpat.2023.100254","volume":"36","author":"NM Atallah","year":"2023","unstructured":"Atallah NM, Wahab N, Toss MS, Makhlouf S, Ibrahim AY, Lashen AG et al (2023) Deciphering the Morphology of Tumor-Stromal Features in Invasive Breast Cancer Using Artificial Intelligence. Mod Pathol 36(10):100254. https:\/\/doi.org\/10.1016\/j.modpat.2023.100254","journal-title":"Mod Pathol"},{"issue":"4","key":"4578_CR26","doi-asserted-by":"publisher","first-page":"552","DOI":"10.5858\/arpa.2013-0555-RS","volume":"139","author":"JB Dwyer","year":"2015","unstructured":"Dwyer JB, Clark BZ (2015) Low-grade fibromatosis-like spindle cell carcinoma of the breast. Arch Pathol Lab Med 139(4):552\u2013557. https:\/\/doi.org\/10.5858\/arpa.2013-0555-RS","journal-title":"Arch Pathol Lab Med"},{"issue":"1","key":"4578_CR27","doi-asserted-by":"publisher","first-page":"127","DOI":"10.1007\/s00428-021-03162-x","volume":"480","author":"EA Rakha","year":"2022","unstructured":"Rakha EA, Brogi E, Castellano I, Quinn C (2022) Spindle cell lesions of the breast: a diagnostic approach. Virchows Arch 480(1):127\u2013145. https:\/\/doi.org\/10.1007\/s00428-021-03162-x","journal-title":"Virchows Arch"},{"issue":"1","key":"4578_CR28","doi-asserted-by":"publisher","first-page":"30","DOI":"10.5858\/arpa.2022-0048-RA","volume":"147","author":"Y Ni","year":"2023","unstructured":"Ni Y, Tse GM (2023) Spindle Cell Lesions of the Breast: A Diagnostic Algorithm. Arch Pathol Lab Med 147(1):30\u201337. https:\/\/doi.org\/10.5858\/arpa.2022-0048-RA","journal-title":"Arch Pathol Lab Med"},{"issue":"5","key":"4578_CR29","doi-asserted-by":"publisher","first-page":"309","DOI":"10.1097\/pap.0000000000000353","volume":"29","author":"DH Russell","year":"2022","unstructured":"Russell DH, Montgomery EA, Susnik B (2022) Low to Intermediate (Borderline) Grade Breast Spindle Cell Lesions on Needle Biopsy: Diagnostic Approach and Clinical Management. Adv Anat Pathol 29(5):309\u2013323. https:\/\/doi.org\/10.1097\/pap.0000000000000353","journal-title":"Adv Anat Pathol"},{"issue":"6","key":"4578_CR30","doi-asserted-by":"publisher","first-page":"1203","DOI":"10.3349\/ymj.2012.53.6.1203","volume":"53","author":"MJ Kim","year":"2012","unstructured":"Kim MJ, Kim D, Jung W, Koo JS (2012) Histological analysis of benign breast imaging reporting and data system categories 4c and 5 breast lesions in imaging study. Yonsei Med J 53(6):1203\u20131210. https:\/\/doi.org\/10.3349\/ymj.2012.53.6.1203","journal-title":"Yonsei Med J"},{"issue":"6","key":"4578_CR31","doi-asserted-by":"publisher","first-page":"381","DOI":"10.1111\/j.1440-1827.2012.02811.x","volume":"62","author":"C Furuya","year":"2012","unstructured":"Furuya C, Kawano H, Yamanouchi T, Oga A, Ueda J, Takahashi M (2012) Combined evaluation of CK5\/6, ER, p63, and MUC3 for distinguishing breast intraductal papilloma from ductal carcinoma in situ. Pathol Int 62(6):381\u2013390. https:\/\/doi.org\/10.1111\/j.1440-1827.2012.02811.x","journal-title":"Pathol Int"},{"issue":"5","key":"4578_CR32","doi-asserted-by":"publisher","first-page":"407","DOI":"10.1136\/jcp.2008.063016","volume":"62","author":"GM Tse","year":"2009","unstructured":"Tse GM, Tan PH, Moriya T (2009) The role of immunohistochemistry in the differential diagnosis of papillary lesions of the breast. J Clin Pathol 62(5):407\u2013413. https:\/\/doi.org\/10.1136\/jcp.2008.063016","journal-title":"J Clin Pathol"},{"issue":"1","key":"4578_CR33","doi-asserted-by":"publisher","first-page":"129","DOI":"10.1038\/s41523-022-00496-w","volume":"8","author":"J Sandbank","year":"2022","unstructured":"Sandbank J, Bataillon G, Nudelman A, Krasnitsky I, Mikulinsky R, Bien L et al (2022) Validation and real-world clinical application of an artificial intelligence algorithm for breast cancer detection in biopsies. NPJ Breast Cancer 8(1):129. https:\/\/doi.org\/10.1038\/s41523-022-00496-w","journal-title":"NPJ Breast Cancer"},{"issue":"Suppl 1","key":"4578_CR34","doi-asserted-by":"publisher","first-page":"8","DOI":"10.1038\/s41379-020-00689-3","volume":"34","author":"A Sokolova","year":"2021","unstructured":"Sokolova A, Lakhani SR (2021) Lobular carcinoma in situ: diagnostic criteria and molecular correlates. Mod Pathol 34(Suppl 1):8\u201314. https:\/\/doi.org\/10.1038\/s41379-020-00689-3","journal-title":"Mod Pathol"},{"issue":"4","key":"4578_CR35","doi-asserted-by":"publisher","first-page":"150883","DOI":"10.1016\/j.semdp.2025.150883","volume":"42","author":"Y Tjendra","year":"2025","unstructured":"Tjendra Y, Susnik B (2025) Non-invasive Lobular Neoplasia: Review and Updates. Semin Diagn Pathol 42(4):150883. https:\/\/doi.org\/10.1016\/j.semdp.2025.150883","journal-title":"Semin Diagn Pathol"},{"issue":"6","key":"4578_CR36","doi-asserted-by":"publisher","first-page":"823","DOI":"10.1007\/s00428-022-03299-3","volume":"481","author":"E Brogi","year":"2022","unstructured":"Brogi E (2022) The morphologic spectrum of lobular carcinoma in situ (LCIS) observations on clinical significance, management implications and diagnostic pitfalls of classic, florid and pleomorphic LCIS. Virchows Arch 481(6):823\u2013837. https:\/\/doi.org\/10.1007\/s00428-022-03299-3","journal-title":"Virchows Arch"},{"issue":"1","key":"4578_CR37","doi-asserted-by":"publisher","first-page":"78","DOI":"10.1056\/NEJMsr1407164","volume":"372","author":"LC Hartmann","year":"2015","unstructured":"Hartmann LC, Degnim AC, Santen RJ, Dupont WD, Ghosh K (2015) Atypical Hyperplasia of the Breast \u2014 Risk Assessment and Management Options. N Engl J Med 372(1):78\u201389. https:\/\/doi.org\/10.1056\/NEJMsr1407164","journal-title":"N Engl J Med"},{"issue":"6","key":"4578_CR38","doi-asserted-by":"publisher","first-page":"947","DOI":"10.1016\/j.suc.2022.07.001","volume":"102","author":"L Lunt","year":"2022","unstructured":"Lunt L, Coogan A, Perez CB (2022) Lobular Neoplasia. Surg Clin North Am 102(6):947\u2013963. https:\/\/doi.org\/10.1016\/j.suc.2022.07.001","journal-title":"Surg Clin North Am"},{"key":"4578_CR39","unstructured":"Masood S, Dabbs DJ (2023) Patient safety in breast pathology. In: Dabbs DJ (ed) Breast pathology, 3rd edn. Elsevier, Philadelphia, pp 78\u201389"},{"issue":"10","key":"4578_CR40","doi-asserted-by":"publisher","first-page":"1802","DOI":"10.1002\/ijc.34855","volume":"154","author":"X Han","year":"2024","unstructured":"Han X, Liu Y, Zhang S, Li L, Zheng L, Qiu L et al (2024) Improving the diagnosis of ductal carcinoma in situ with microinvasion without immunohistochemistry: An innovative method with H&E-stained and multiphoton microscopy images. Int J Cancer 154(10):1802\u20131813. https:\/\/doi.org\/10.1002\/ijc.34855","journal-title":"Int J Cancer"},{"issue":"12","key":"4578_CR41","doi-asserted-by":"publisher","first-page":"2313","DOI":"10.1016\/j.ajpath.2024.08.011","volume":"194","author":"Z Han","year":"2024","unstructured":"Han Z, Ding S, Liu B, Tang Y, Qiu X, Wang E et al (2024) Histopathologic Differential Diagnosis and Estrogen Receptor\/Progesterone Receptor Immunohistochemical Evaluation of Breast Carcinoma Using a Deep Learning-Based Artificial Intelligence Architecture. Am J Pathol 194(12):2313\u20132325. https:\/\/doi.org\/10.1016\/j.ajpath.2024.08.011","journal-title":"Am J Pathol"},{"issue":"1","key":"4578_CR42","doi-asserted-by":"publisher","first-page":"188555","DOI":"10.1016\/j.bbcan.2021.188555","volume":"1876","author":"MK Hayward","year":"2021","unstructured":"Hayward MK, Weaver VM (2021) Improving DCIS diagnosis and predictive outcome by applying artificial intelligence. Biochim Biophys Acta Rev Cancer 1876(1):188555. https:\/\/doi.org\/10.1016\/j.bbcan.2021.188555","journal-title":"Biochim Biophys Acta Rev Cancer"},{"issue":"6","key":"4578_CR43","doi-asserted-by":"publisher","first-page":"1138","DOI":"10.1111\/tbj.13897","volume":"26","author":"S Masood","year":"2020","unstructured":"Masood S (2020) Is it ductal carcinoma in situ with microinvasion or Ductogenesis? The role of myoepithelial cell markers. Breast J 26(6):1138\u20131147. https:\/\/doi.org\/10.1111\/tbj.13897","journal-title":"Breast J"},{"issue":"8 Suppl","key":"4578_CR44","doi-asserted-by":"publisher","first-page":"2297","DOI":"10.1002\/cncr.23833","volume":"113","author":"S Masood","year":"2008","unstructured":"Masood S, Vass L, Ibarra JA Jr., Ljung BM, Stalsberg H, Eniu A et al (2008) Breast pathology guideline implementation in low- and middle-income countries. Cancer 113(8 Suppl):2297\u20132304. https:\/\/doi.org\/10.1002\/cncr.23833","journal-title":"Cancer"}],"container-title":["Virchows Archiv"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00428-026-04578-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00428-026-04578-z","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00428-026-04578-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,12]],"date-time":"2026-05-12T08:20:31Z","timestamp":1778574031000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00428-026-04578-z"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,5,12]]},"references-count":44,"alternative-id":["4578"],"URL":"https:\/\/doi.org\/10.1007\/s00428-026-04578-z","relation":{},"ISSN":["0945-6317","1432-2307"],"issn-type":[{"value":"0945-6317","type":"print"},{"value":"1432-2307","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,5,12]]},"assertion":[{"value":"23 January 2026","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"26 March 2026","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"6 May 2026","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 May 2026","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"Ethical approval for this study was obtained from the University of Florida Institutional Review Board (IRB202400181).","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval"}},{"value":"The authors declare no competing interests.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}]}}