Superior performance in classification of breast cancer molecular subtype and histological factors by radiomics based on ultrafast MRI over standard MRI: evidence from a prospective study.

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Title: Superior performance in classification of breast cancer molecular subtype and histological factors by radiomics based on ultrafast MRI over standard MRI: evidence from a prospective study.
Authors: Jeong J; Department of Radiology, Korea University Ansan Hospital, Korea University College of Medicine, 123 Jeokgeum-Ro, Danwon-Gu, Ansan City, 15355, Gyeonggi-Do, Korea., Ham S; Healthcare Readiness Institute for Unified Korea, Korea University Ansan Hospital, Korea University College of Medicine, Ansan, Republic of Korea., Seo BK; Department of Radiology, Korea University Ansan Hospital, Korea University College of Medicine, 123 Jeokgeum-Ro, Danwon-Gu, Ansan City, 15355, Gyeonggi-Do, Korea. seoboky@korea.ac.kr., Lee JT; Department of Radiology, Korea University Ansan Hospital, Korea University College of Medicine, 123 Jeokgeum-Ro, Danwon-Gu, Ansan City, 15355, Gyeonggi-Do, Korea., Wang S; Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, Amsterdam, The Netherlands., Bae MS; Department of Radiology, Korea University Ansan Hospital, Korea University College of Medicine, 123 Jeokgeum-Ro, Danwon-Gu, Ansan City, 15355, Gyeonggi-Do, Korea., Cho KR; Department of Radiology, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Republic of Korea., Woo OH; Department of Radiology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Republic of Korea., Song SE; Department of Radiology, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Republic of Korea., Choi H; Medical Science Research Center, Korea University College of Medicine, Seoul, Republic of Korea.
Source: La Radiologia medica [Radiol Med] 2025 Mar; Vol. 130 (3), pp. 368-380. Date of Electronic Publication: 2025 Jan 25.
Publication Type: Comparative Study; Journal Article; Observational Study
Journal Info: Publisher: Springer Milan Country of Publication: Italy NLM ID: 0177625 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1826-6983 (Electronic) Linking ISSN: 00338362 NLM ISO Abbreviation: Radiol Med Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1826-6983
DOI:10.1007/s11547-025-01956-6