Computer-aided detection evaluation methods are not created equal.
Computer-aided detection evaluation methods are not created equal.
复制标题
计算机辅助检测评估方法并不相同。
DOI:
10.1148/radiol.2513081130
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发表时间:
2009
期刊:
影响因子:
19.7
通讯作者:
Lorenzo L. Pesce
中科院分区:
文献类型:
--
作者:
R. Nishikawa;Lorenzo L. Pesce
While mammography screening is effective in reducing breast cancer mortality, the task of screening tens of millions of women for a complex disease with a relatively low prevalence is extremely difficult. Computer-aided detection (CAD)(specifically, CADe for detection of disease) was introduced to facilitate this task. Because incorrect clinical guidelines and other policy errors could affect tens of thousands of lives with respect to mortality and morbidity, the diagnostic performance of the radiologist when using CAD has been the subject of extensive research. In addition, the results of clinical evaluation of CAD can have farreaching consequences in terms of reimbursement of CAD devices and the funding of CAD research itself. Reviews of clinical CAD studies (1–3) and all the clinical studies of CAD (4–15) result in, either implicitly or explicitly, the assumption that the different approaches used so far to measure diagnostic performance are essentially equivalent. We will argue that this is an erroneous assumption, with the focus on two methods employed.The first method, used in four studies, is longitudinal in design (4–7): The cancer detection rate for a time period before CAD was implemented is compared with that for a time period when CAD was used. Investigators of these studies used the change in cancer detection rate to assess the diagnostic performance of CAD. Sometimes this method is referred to as the historical control method because past diagnostic decisions are reanalyzed. The second method is cross-sectional in design and has been used in seven studies (8–14).(We are excluding the study by Khoo et al [15], who looked at CAD when combined with double reading.) For each case, the radiologist makes and records his or her interpretation without knowledge of the
DOI:
10.1093/jnci/djh067
发表时间:
2004-02-04
期刊:
JOURNAL OF THE NATIONAL CANCER INSTITUTE
影响因子:
--
作者:
Gur, D;Sumkin, JH;Wallace, L
通讯作者:
Wallace, L