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Fifty-four patients were initially recruited, but only 35 fulfilled the inclusion criteria and confirmed to participate with a median age of 77. Tumours were scanned with MRI prior to treatment, during the eighth week of treatment and prior to surgery. Additionally, changes in longest diameter on clinical examination (CE) and tumour size at pathology were determined. Pre- and post-operative measurements of tumour size were compared in order to evaluate tumour response.<\/jats:p>\n<\/jats:sec><jats:sec>\n<jats:title>Results<\/jats:title>\n<jats:p>The correlation between post-treatment MRI size and pathology was moderate and higher with a correlation coefficient (<jats:italic>r<\/jats:italic>) 0.64 compared to the correlation between CE and pathology <jats:italic>r<\/jats:italic>\u2009=\u20090.25. Post-treatment MRI and clinical results had a negligible bias towards underestimation of lesion size. Tumour size on MRI and CE had 0.82\u00a0cm and 0.52\u00a0cm lower mean size than tumour size measured by pathology, respectively.<\/jats:p>\n<\/jats:sec><jats:sec>\n<jats:title>Conclusions<\/jats:title>\n<jats:p>The higher correlation between measurements of residual disease obtained on MRI and those obtained with pathology validates the accuracy of imaging assessment during NET. MRI was found to be more accurate for estimating complete responses than clinical assessments and warrants further investigation in larger cohorts to validate this finding.<\/jats:p>\n<\/jats:sec>","DOI":"10.1007\/s10549-020-05852-7","type":"journal-article","created":{"date-parts":[[2020,8,12]],"date-time":"2020-08-12T17:03:59Z","timestamp":1597251839000},"page":"407-420","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":18,"title":["Accuracy of breast MRI in patients receiving neoadjuvant endocrine therapy: comprehensive imaging analysis and correlation with clinical and pathological assessments"],"prefix":"10.1007","volume":"184","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0515-2022","authenticated-orcid":false,"given":"Joana","family":"Reis","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jonas Christoffer","family":"Lindstr\u00f8m","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Joao","family":"Boavida","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kjell-Inge","family":"Gjesdal","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Daehoon","family":"Park","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nazli","family":"Bahrami","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Manouchehr","family":"Seyedzadeh","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Woldegabriel A.","family":"Melles","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Torill","family":"Sauer","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"J\u00fcrgen","family":"Geisler","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jonn Terje","family":"Geitung","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2020,8,12]]},"reference":[{"issue":"1","key":"5852_CR1","doi-asserted-by":"crossref","first-page":"e0189634","DOI":"10.1371\/journal.pone.0189634","volume":"13","author":"L Sannachi","year":"2018","unstructured":"Sannachi L, Gangeh M, Tadayyon H, Sadeghi-Naini A, Gandhi S, Wright FC, Slodkowska E, Curpen B, Tran W, Czarnota GJ (2018) Response monitoring of breast cancer patients receiving neoadjuvant chemotherapy using quantitative ultrasound, texture, and molecular features. 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