Computer-aided detection (CAD) of lung nodules in CT scans: radiologist performance and reading time with incremental CAD assistance.
Objective: The diagnostic performance of radiologists using incremental CAD assistance for lung nodule detection on CT and their temporal variation in performance during CAD evaluation was assessed.Methods: CAD was applied to 20 chest multidetector-row computed tomography (MDCT) scans containing 190...
| Publicado en: | European Radiology Vol. 20; no. 3; pp. 549 - 558 |
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| Autores principales: | , , , , , , , , , , , , , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Springer Nature
Mar2010
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=105127829&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 105127829 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09387994 NPH jtl: European Radiology issn: 09387994 maglogo: N pubinfo: dt: Mar2010 vid: 20 iid: 3 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 105127829 48082978 NLM19760237 2010574927 10.1007/s00330-009-1596-y NLM19760237 PMC4669889 105127829 ppf: 549 ppct: 9 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Computer-aided detection (CAD) of lung nodules in CT scans: radiologist performance and reading time with incremental CAD assistance. aug: au: Roos JE Paik D Olsen D Liu EG Chow LC Leung AN Mindelzun R Choudhury KR Naidich DP Napel S Rubin GD Roos, Justus E Paik, David Olsen, David Liu, Emily G Chow, Lawrence C Leung, Ann N Mindelzun, Robert Choudhury, Kingshuk R Naidich, David P affil: Department of Radiology, Stanford University Medical Center, 300 Pasteur Drive, Room S-072, Stanford, CA 94305-5105, USA sug: subj: Lung Neoplasms Radiography Physicians Statistics and Numerical Data Professional Competence Statistics and Numerical Data Radiographic Image Enhancement Methods Tomography, X-Ray Computed Methods Workload Statistics and Numerical Data Adolescence Adult Aged Female Human Male Middle Age Observer Bias Reproducibility of Results Sensitivity and Specificity Task Performance and Analysis Young Adult Adolescent: 13-18 years Adult: 19-44 years Aged: 65+ years Middle Aged: 45-64 years Female Male ab: Objective: The diagnostic performance of radiologists using incremental CAD assistance for lung nodule detection on CT and their temporal variation in performance during CAD evaluation was assessed.Methods: CAD was applied to 20 chest multidetector-row computed tomography (MDCT) scans containing 190 non-calcified > or =3-mm nodules. After free search, three radiologists independently evaluated a maximum of up to 50 CAD detections/patient. Multiple free-response ROC curves were generated for free search and successive CAD evaluation, by incrementally adding CAD detections one at a time to the radiologists' performance.Results: The sensitivity for free search was 53% (range, 44%-59%) at 1.15 false positives (FP)/patient and increased with CAD to 69% (range, 59-82%) at 1.45 FP/patient. CAD evaluation initially resulted in a sharp rise in sensitivity of 14% with a minimal increase in FP over a time period of 100 s, followed by flattening of the sensitivity increase to only 2%. This transition resulted from a greater prevalence of true positive (TP) versus FP detections at early CAD evaluation and not by a temporal change in readers' performance. The time spent for TP (9.5 s +/- 4.5 s) and false negative (FN) (8.4 s +/- 6.7 s) detections was similar; FP decisions took two- to three-times longer (14.4 s +/- 8.7 s) than true negative (TN) decisions (4.7 s +/- 1.3 s).Conclusions: When CAD output is ordered by CAD score, an initial period of rapid performance improvement slows significantly over time because of non-uniformity in the distribution of TP CAD output and not to a changing reader performance over time. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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