Benefit of Computer-Aided Detection Analysis for the Detection of Subsolid and Solid Lung Nodules on Thin- and Thick-Section CT

被引:55
作者
Godoy, Myrna C. B. [1 ,2 ]
Kim, Tae Jung [3 ]
White, Charles S. [4 ]
Bogoni, Luca [5 ]
de Groot, Patricia [1 ,2 ]
Florin, Charles [2 ,5 ]
Obuchowski, Nancy [6 ]
Babb, James S. [1 ]
Salganicoff, Marcos [5 ]
Naidich, David P. [1 ]
Anand, Vikram [5 ]
Park, Sangmin [5 ]
Vlahos, Ioannis [7 ]
Ko, Jane P. [1 ]
机构
[1] NYU, Langone Med Ctr, Dept Radiol, New York, NY 10006 USA
[2] Univ Texas MD Anderson Canc Ctr, Dept Radiol, Houston, TX 77030 USA
[3] Seoul Natl Univ, Dept Radiol, Bundang Hosp, Seoul, South Korea
[4] Univ Maryland, Med Ctr, Dept Radiol, Baltimore, MD 21201 USA
[5] Siemens Healthcare, Comp Aided Diag & Therapy, Malvern, PA USA
[6] Cleveland Clin Fdn, Cleveland, OH 44195 USA
[7] St Georges Healthcare NHS Trust, Dept Radiol, London, England
关键词
computer-aided detection; CT; ground-glass nodule; lung nodule; GROUND-GLASS OPACITY; SMALL PULMONARY NODULES; MULTIDETECTOR-ROW CT; 2ND READER; RADIOLOGISTS DETECTION; PRELIMINARY EXPERIENCE; DETECTION PERFORMANCE; AUTOMATED DETECTION; INITIAL-EXPERIENCE; TOMOGRAPHY IMAGES;
D O I
10.2214/AJR.11.7532
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
100231 [临床病理学]; 100902 [航空航天医学];
摘要
OBJECTIVE. The objective of our study was to evaluate the impact of computer-aided detection (CAD) on the identification of subsolid and solid lung nodules on thin- and thick-section CT. MATERIALS AND METHODS. For 46 chest CT examinations with ground-glass opacity (GGO) nodules, CAD marks computed using thin data were evaluated in two phases. First, four chest radiologists reviewed thin sections (reader(thin)) for nodules and subsequently CAD marks (reader(thin) + CAD(thin)). After 4 months, the same cases were reviewed on thick sections (reader(thick)) and subsequently with CAD marks (reader(thick) + CAD(thick)). Sensitivities were evaluated. Additionally, reader(thick) sensitivity with assessment of CAD marks on thin sections was estimated (reader(thick) + CAD(thin)). RESULTS. For 155 nodules (mean, 5.5 mm; range, 4.0-27.5 mm)-74 solid nodules, 22 part-solid (part-solid nodules), and 59 GGO nodules-CAD stand-alone sensitivity was 80%, 95%, and 71%, respectively, with three false-positives on average (0-12) per CT study. Reader(thin) + CAD(thin) sensitivities were higher than reader(thin) for solid nodules (82% vs 57%, p < 0.001), part-solid nodules (97% vs 81%, p = 0.0027), and GGO nodules (82% vs 69%, p < 0.001) for all readers (p < 0.001). Respective sensitivities for reader(thick), reader(thick) + CAD(thick), reader(thick) + CAD(thin) were 40%, 58% (p < 0.001), and 77% (p < 0.001) for solid nodules; 72%, 73% (p = 0.322), and 94% (p < 0.001) for part-solid nodules; and 53%, 58% (p = 0.008), and 79% (p < 0.001) for GGO nodules. For reader(thin), false-positives increased from 0.64 per case to 0.90 with CAD(thin) (p < 0.001) but not for reader(thick); false-positive rates were 1.17, 1.19, and 1.26 per case for reader(thick), reader(thick) + CAD(thick), and reader(thick) + CAD(thin), respectively. CONCLUSION. Detection of GGO nodules and solid nodules is significantly improved with CAD. When interpretation is performed on thick sections, the benefit is greater when CAD marks are reviewed on thin rather than thick sections.
引用
收藏
页码:74 / 83
页数:10
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