Observer Study of a Prototype Clinical Decision Support System for Breast Cancer Diagnosis Using Dynamic Contrast-Enhanced MRI

被引:4
|
作者
Boroczky, Lilla [1 ]
Simpson, Mark [1 ]
Abe, Hiroyuki [2 ]
Drysdale, Jeremy [1 ]
机构
[1] Philips Res N Amer, Briarcliff Manor, NY 10510 USA
[2] Univ Chicago, Dept Radiol, Chicago, IL 60637 USA
关键词
breast cancer; clinical decision support; diagnosis; dynamic contrast-enhanced MRI; CONTENT-BASED RETRIEVAL; IMAGE RETRIEVAL; SIMILARITY MEASURES; MASSES; CLASSIFICATION;
D O I
10.2214/AJR.12.8718
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
OBJECTIVE. The purpose of this article is to evaluate the performance of radiologists using a prototype clinical decision support system to diagnose and manage patients with breast cancer based on dynamic contrast-enhanced MRI studies. MATERIALS AND METHODS. The study was conducted with three breast radiologists and two breast imaging fellows who gave patient treatment recommendations and confidence ratings, both without and with computer aid. The computer aid presented similar cases from a retrieval database of 192 lesions (96 malignant and 96 benign) for a test set of 97 mass lesions (46 malignant and 51 benign). The performance of each observer was quantified by receiver operating characteristic analysis. The radiologists' confidence in their recommendations was analyzed with respect to the query case pathologic diagnosis, perceived usefulness of the similar cases, and the accuracy of the computer in retrieving cases of the correct diagnosis. The statistical significance in the performance measure differences was determined by using a two-tailed Student t test for paired data. RESULTS. For each observer, the area under the receiver operating characteristic curve did not change significantly with the use of the computer aid (from a mean of 0.8 to a mean of 0.8; p = 0.61). The average confidence of three of the five observers increased significantly with the computer aid (from 5.9 to 6.3 [p < 0.001], from 7.0 to 7.2 [p = 0.04], and from 4.4 to 5.4 [p < 0.001], respectively). The confidence change of the radiologists was more frequent and larger for malignant lesions where the computer was correct. However, for benign lesions, even when the computer was correct, the confidence of the radiologists did not necessarily change. CONCLUSION. The presentation of similar cases reinforced radiologists' confidence rating in the diagnosis of malignant lesions; however, it did not change their confidence rating for benign lesions or reduce the number of unnecessary biopsies in managing patients with breast cancer using dynamic contrast-enhanced MRI under the limited study conditions.
引用
收藏
页码:277 / 283
页数:7
相关论文
共 50 条
  • [31] Breast dispersion imaging using undersampled rapid dynamic contrast-enhanced MRI
    Shi, Linxi
    Srinivasan, Subashini
    Hargreaves, Brian
    Daniel, Bruce
    MEDICAL IMAGING 2019: COMPUTER-AIDED DIAGNOSIS, 2019, 10950
  • [32] Head and Neck Cancer Tumor Segmentation Using Support Vector Machine in Dynamic Contrast-Enhanced MRI
    Deng, Wei
    Luo, Liangping
    Lin, Xiaoyi
    Fang, Tianqi
    Liu, Dexiang
    Dan, Guo
    Chen, Hanwei
    CONTRAST MEDIA & MOLECULAR IMAGING, 2017,
  • [33] Assessment of ameloblastomas using MRI and dynamic contrast-enhanced MRI
    Asaumi, J
    Hisatomi, M
    Yanagi, Y
    Matsuzaki, H
    Choi, YS
    Kawai, N
    Konouchi, H
    Kishi, K
    EUROPEAN JOURNAL OF RADIOLOGY, 2005, 56 (01) : 25 - 30
  • [34] Dynamic contrast-enhanced MRI for prostate cancer localization
    Jackson, A. S. N.
    Reinsberg, S. A.
    Sohaib, S. A.
    Charles-Edwards, E. M.
    Jhavar, S.
    Christmas, T. J.
    Thompson, A. C.
    Bailey, M. J.
    Corbishley, C. M.
    Fisher, C.
    Leach, M. O.
    Dearnaley, D. P.
    BRITISH JOURNAL OF RADIOLOGY, 2009, 82 (974): : 148 - 156
  • [35] Impact of background parenchymal enhancement levels on the diagnosis of contrast-enhanced digital mammography in evaluations of breast cancer: comparison with contrast-enhanced breast MRI
    Sachiko Yuen
    Shuichi Monzawa
    Ayako Gose
    Seiji Yanai
    Yoshihiro Yata
    Hajime Matsumoto
    You Ichinose
    Takashi Tashiro
    Kazuhiko Yamagami
    Breast Cancer, 2022, 29 : 677 - 687
  • [36] Impact of background parenchymal enhancement levels on the diagnosis of contrast-enhanced digital mammography in evaluations of breast cancer: comparison with contrast-enhanced breast MRI
    Yuen, Sachiko
    Monzawa, Shuichi
    Gose, Ayako
    Yanai, Seiji
    Yata, Yoshihiro
    Matsumoto, Hajime
    Ichinose, You
    Tashiro, Takashi
    Yamagami, Kazuhiko
    BREAST CANCER, 2022, 29 (04) : 677 - 687
  • [37] The role of dynamic contrast-enhanced screening breast MRI in populations at increased risk for breast cancer
    Gillman, Jennifer
    Toth, Hildegard K.
    Moy, Linda
    WOMENS HEALTH, 2014, 10 (06) : 609 - 622
  • [38] Early Prediction of Response to Neoadjuvant Chemotherapy Using Dynamic Contrast-Enhanced MRI and Ultrasound in Breast Cancer
    Kim, Yunju
    Kim, Sung Hun
    Song, Byung Joo
    Kang, Bong Joo
    Yim, Kwang-il
    Lee, Ahwon
    Nam, Yoonho
    KOREAN JOURNAL OF RADIOLOGY, 2018, 19 (04) : 682 - 691
  • [39] Ultrafast Dynamic Contrast-enhanced MRI of the Breast: How Is It Used?
    Kataoka, Masako
    Honda, Maya
    Ohashi, Akane
    Yamaguchi, Ken
    Mori, Naoko
    Goto, Mariko
    Fujioka, Tomoyuki
    Mori, Mio
    Kato, Yutaka
    Satake, Hiroko
    Iima, Mami
    Kubota, Kazunori
    MAGNETIC RESONANCE IN MEDICAL SCIENCES, 2022, 21 (01) : 83 - 94
  • [40] Detecting Invasive Breast Carcinoma on Dynamic Contrast-Enhanced MRI
    Moroianu, Stefania L.
    Rusu, Mirabela
    MEDICAL IMAGING 2021: COMPUTER-AIDED DIAGNOSIS, 2021, 11597