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논문 기본정보

Apparent diffusion coefficient in differentiation between malignant and benign breast masses: does size matter?

논문 개요

기관명, 저널명, ISSN, ISBN 으로 구성된 논문 개요 표입니다.
기관명 NDSL
저널명 Clinical radiology
ISSN 0009-9260,1365-229x
ISBN

논문저자 및 소속기관 정보

저자, 소속기관, 출판인, 간행물 번호, 발행연도, 초록, 원문UR, 첨부파일 순으로 구성된 논문저자 및 소속기관 정보표입니다
저자(한글) Wan, C.W.S.,Lee, C.Y.,Lui, C.Y.,Fong, C.Y.,Lau, K.C.H.
저자(영문)
소속기관
소속기관(영문)
출판인
간행물 번호
발행연도 2016-01-01
초록 Aim: To determine whether lesion size affects the diagnostic performance of apparent diffusion coefficient (ADC) in the evaluation of breast masses. Materials and methods: Consecutive breast lesions detected at magnetic resonance imaging (MRI) from June 2010 to July 2013 were retrospectively reviewed. Differences in the ADCs of benign and malignant mass lesions were compared. Receiver operating characteristics analysis was performed to evaluate diagnostic performance of ADC regarding lesion size (@?1 cm or gt;1 cm) and their T2W signal intensities. Results: Seventy-four malignant lesions (77.9%) and 21 (22.1%) benign lesions were included. Twenty-two of the 95 (23.2%) masses measured @?1 cm (mean 0.73+/-0.4; range 0.51-0.8 cm) and 73/95 (76.9%) masses measured gt;1 cm (mean 2.11+/-0.1; range 1.1-3.3 cm). The mean ADC was significantly lower for malignant than for benign lesions (mean for malignant lesion, 0.89+/-0.29x10 -3 @?mm 2 /s; mean for benign lesions, 1.27+/-0.42x10 -3 @?mm 2 /s; p -3 mm 2 /s with a sensitivity of 85.9% and specificity of 77% for lesions gt;1 cm. The sensitivity and specificity were lowered to 60% and 50%, respectively, for lesions of size @?1. Maximal sensitivity and specificity were reached when the ADC value was used to evaluate T2-dark lesions. Conclusion: Diffusion-weighted MRI is useful for characterizing masses that are hypointense on T2-weighted images. Lower sensitivity and specificity were found for breast lesions @?1 cm
원문URL http://click.ndsl.kr/servlet/OpenAPIDetailView?keyValue=03553784&target=NART&cn=NART74655546
첨부파일

추가정보

과학기술표준분류, ICT 기술분류,DDC 분류,주제어 (키워드) 순으로 구성된 추가정보표입니다
과학기술표준분류
ICT 기술분류
DDC 분류
주제어 (키워드)