Multiparametric magnetic resonance imaging of the prostate with computer-aided detection: experienced observer performance study.
Objectives: To compare the performance of experienced readers in detecting prostate cancer (PCa) using likelihood maps generated by a CAD system with that of unassisted interpretation of multiparametric magnetic resonance imaging (mp-MRI).Methods: Three experienced radiologists reviewed mp-MRI prost...
| Publicado en: | European Radiology Vol. 27; no. 10; pp. 4200 - 4209 |
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| Autores principales: | , , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Oct2017
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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=124912457&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 124912457 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09387994 NPH jtl: European Radiology issn: 09387994 maglogo: N pubinfo: dt: Oct2017 vid: 27 iid: 10 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 124912457 124912457 144064574 NLM28386721 10.1007/s00330-017-4805-0 NLM28386721 124912457 ppf: 4200 ppct: 9 formats: fmt: @attributes: type: P tig: atl: Multiparametric magnetic resonance imaging of the prostate with computer-aided detection: experienced observer performance study. aug: au: Giannini, Valentina Mazzetti, Simone Armando, Enrico Carabalona, Silvia Russo, Filippo Giacobbe, Alessandro Muto, Giovanni Regge, Daniele affil: Department of Radiology at the Candiolo Cancer Institute , FPO, IRCCS , Strada Provinciale 142 km 3.95 10060 Candiolo Italy sug: subj: Prostate Prostatic Neoplasms Image Processing, Computer Assisted Methods Observer Bias Aged Retrospective Design Sensitivity and Specificity Magnetic Resonance Imaging Methods Middle Age Male Clinical Assessment Tools Aged: 65+ years Middle Aged: 45-64 years Male ab: Objectives: To compare the performance of experienced readers in detecting prostate cancer (PCa) using likelihood maps generated by a CAD system with that of unassisted interpretation of multiparametric magnetic resonance imaging (mp-MRI).Methods: Three experienced radiologists reviewed mp-MRI prostate cases twice. First, readers observed CAD marks on a likelihood map and classified as positive those suspicious for cancer. After 6 weeks, radiologists interpreted mp-MRI examinations unassisted, using their favourite protocol. Sensitivity, specificity, reading time and interobserver variability were compared for the two reading paradigms.Results: The dataset comprised 89 subjects of whom 35 with at least one significant PCa. Sensitivity was 80.9% (95% CI 72.1-88.0%) and 87.6% (95% CI 79.8-93.2; p = 0.105) for unassisted and CAD paradigm respectively. Sensitivity was higher with CAD for lesions with GS > 6 (91.3% vs 81.2%; p = 0.046) or diameter ≥10 mm (95.0% vs 80.0%; p = 0.006). Specificity was not affected by CAD. The average reading time with CAD was significantly lower (220 s vs 60 s; p < 0.001).Conclusions: Experienced readers using likelihood maps generated by a CAD scheme can detect more patients with ≥10 mm PCa lesions than unassisted MRI interpretation; overall reporting time is shorter. To gain more insight into CAD-human interaction, different reading paradigms should be investigated.Key Points: • With CAD, sensitivity increases in patients with prostate tumours ≥10 mm and/or GS > 6. • CAD significantly reduces reporting time of multiparametric MRI. • When using CAD, a marginal increase of inter-reader agreement was observed. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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