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Two-dimensional tumor segmentation was performed manually on DCE\u2013MRI images (manual DCE) and using GMM with corresponding PET images (GMM\u2013PET). Tumor area and mean apparent diffusion coefficient (ADC) derived from both segmentation methods were compared, and spatial overlap between the segmentations was assessed with Dice similarity coefficient and center-of-gravity displacement.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>No significant differences were observed between mean ADC and tumor area derived from manual DCE segmentation and GMM\u2013PET. There were strong positive correlations for tumor area and ADC derived from manual DCE and GMM\u2013PET for untreated and treated lesions. The mean Dice score for GMM\u2013PET was 0.770 and 0.649 for untreated and treated lesions, respectively.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Discussion<\/jats:title>\n                    <jats:p>Using PET\/MRI, tumor area and mean ADC value estimated with a GMM\u2013PET can replicate manual DCE tumor definition from MRI for monitoring neoadjuvant treatment response in breast cancer.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1007\/s10334-019-00778-8","type":"journal-article","created":{"date-parts":[[2019,9,27]],"date-time":"2019-09-27T14:02:47Z","timestamp":1569592967000},"page":"317-328","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Semi-automatic segmentation from intrinsically-registered 18F-FDG\u2013PET\/MRI for treatment response assessment in a breast cancer cohort: comparison to manual DCE\u2013MRI"],"prefix":"10.1007","volume":"33","author":[{"given":"Maren Marie Sjaastad","family":"Andreassen","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"P\u00e5l Erik","family":"Goa","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Torill Eidhammer","family":"Sj\u00f8bakk","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Roja","family":"Hedayati","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hans Petter","family":"Eikesdal","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Callie","family":"Deng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Agnes","family":"\u00d8stlie","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Steinar","family":"Lundgren","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tone Frost","family":"Bathen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9556-5930","authenticated-orcid":false,"given":"Neil Peter","family":"Jerome","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,9,27]]},"reference":[{"key":"778_CR1","unstructured":"Ferlay J EM, Lam F, Colombet M, Mery L, Pi\u00f1eros M, Znaor A, Soerjomataram I, Bray F (2018) Global cancer observatory: cancer today. \nhttps:\/\/gco.iarc.fr\/today\n\n. 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