Improving radiologists' recommendations with computer-aided diagnosis for management of small nodules detected by CT.

Improving radiologists' recommendations with computer-aided diagnosis for management of small nodules detected by CT. Research Abstract Details 

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Improving radiologists' recommendations with computer-aided diagnosis for management of small nodules detected by CT. Abstract Text:

Feng Li,Qiang Li,Roger Engelmann,Masahito Aoyama,Shusuke Sone,Heber MacMahon,Kunio Doi,

RATIONALE AND OBJECTIVES: To evaluate how computer-aided diagnosis (CAD) can improve radiologists' recommendations for management of possible early lung cancers on CT. MATERIALS AND METHODS: Twenty-eight lung cancers and 28 benign lesions were employed. Each group of 28 lesions was classified into subgroups of two sizes (9 between 6 and 10 mm and 19 between 11 and 20 mm) and three patterns (8 with pure ground glass opacity [GGO], 12 with mixed GGO and 8 solid lesions). Sixteen radiologists participated in the observer study, first without and then with CAD. Radiologists' recommendations, including (1) follow-up in 12 months, (2) in 6 months, (3) in 3 months, or (4) biopsy, were compared at three levels of their malignancy probability ratings (low: 1%-33%; medium: 34%-66%; high: 67%-99%) for 896 observations (56 lesions by the 16 radiologists) in the two size subgroups and three patterns. RESULTS: The number of recommendations changed by radiologists by use of CAD was 163 (18%) among all 896 observations. Among these changed recommendations, the fraction showing a beneficial effect from CAD was 68% (111/163), and the fraction showing a beneficial effect regarding biopsy recommendations was 69% (48/70). With CAD, the radiologists' performance regarding biopsy recommendations was significantly improved for 43 lung cancers (31 changed to biopsy versus 12 changed away from biopsy; P = .003) and was also improved for 27 benign lesions (10 changed to biopsy versus 17 changed away from biopsy; P = .18). Most of the cancers with improved recommendations were solid lesions or mixed GGO and relatively large. CONCLUSION: CAD has the potential to improve the appropriateness of radiologists' recommendations for small malignant and benign lesions on CT scans.

Improving radiologists' recommendations with computer-aided diagnosis for management of small nodules detected by CT. Publishing Authors By Initials

F Li,Q Li,R Engelmann,M Aoyama,S Sone,H MacMahon,K Doi,

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Improving radiologists' recommendations with computer-aided diagnosis for management of small nodules detected by CT. Journal Published:

PUBLICATION TYPE: Research Support, N.I.H., Extr

Journal: Academic radiology

VOLUME: 13

Page Numbers: 943-50

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ISSN: 1076-6332

DAY: 3

MONTH: Aug

YEAR: 2006

Improving radiologists' recommendations with computer-aided diagnosis for management of small nodules detected by CT. Information

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LANGUAGE: eng

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AFFILIATION: Kurt Rossmann Laboratories for Radiologic Image Research, Department of Radiology, The University of Chicago, Chicago, IL, USA. feng@uchicago.edu

Country: United States

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MEDLINETA: Acad Radiol

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