Clinical evaluation of a computer-aided diagnosis system for determining cancer aggressiveness in prostate MRI.
Objectives: To investigate the added value of computer-aided diagnosis (CAD) on the diagnostic accuracy of PIRADS reporting and the assessment of cancer aggressiveness.Methods: Multi-parametric MRI and histopathological outcome of MR-guided biopsies of a consecutive set of 130 patients were included...
| Publicado en: | European Radiology Vol. 25; no. 11; pp. 3187 - 3200 |
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| Autores principales: | , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Springer Nature
Nov2015
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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=110164622&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 110164622 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09387994 NPH jtl: European Radiology issn: 09387994 maglogo: N pubinfo: dt: Nov2015 vid: 25 iid: 11 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 110164622 110164622 NLM26060063 110164622 10.1007/s00330-015-3743-y NLM26060063 PMC4595541 110164622 ppf: 3187 ppct: 13 formats: fmt: @attributes: type: P tig: atl: Clinical evaluation of a computer-aided diagnosis system for determining cancer aggressiveness in prostate MRI. aug: au: Litjens, Geert Barentsz, Jelle Karssemeijer, Nico Huisman, Henkjan Litjens, Geert J S Barentsz, Jelle O Huisman, Henkjan J affil: Department of Radiology, Radboud University Medical Center, 766, Postbus 9101 6500HB Nijmegen The Netherlands sug: subj: Prostatic Neoplasms Pathology Magnetic Resonance Imaging Statistics and Numerical Data Diagnosis, Computer Assisted Statistics and Numerical Data Aged, 80 and Over Biopsy, Needle Methods Prostatic Neoplasms Classification Magnetic Resonance Imaging Methods Prospective Studies Aged Sensitivity and Specificity Male Contrast Media Predictive Value of Tests Treatment Outcomes ROC Curve Pharmacokinetics Neoplasm Grading Middle Age Scales Aged, 80 & over Aged: 65+ years Middle Aged: 45-64 years Male ab: Objectives: To investigate the added value of computer-aided diagnosis (CAD) on the diagnostic accuracy of PIRADS reporting and the assessment of cancer aggressiveness.Methods: Multi-parametric MRI and histopathological outcome of MR-guided biopsies of a consecutive set of 130 patients were included. All cases were prospectively PIRADS reported and the reported lesions underwent CAD analysis. Logistic regression combined the CAD prediction and radiologist PIRADS score into a combination score. Receiver-operating characteristic (ROC) analysis and Spearman's correlation coefficient were used to assess the diagnostic accuracy and correlation to cancer grade. Evaluation was performed for discriminating benign lesions from cancer and for discriminating indolent from aggressive lesions.Results: In total 141 lesions (107 patients) were included for final analysis. The area-under-the-ROC-curve of the combination score was higher than for the PIRADS score of the radiologist (benign vs. cancer, 0.88 vs. 0.81, p = 0.013 and indolent vs. aggressive, 0.88 vs. 0.78, p < 0.01). The combination score correlated significantly stronger with cancer grade (0.69, p = 0.0014) than the individual CAD system or radiologist (0.54 and 0.58).Conclusions: Combining CAD prediction and PIRADS into a combination score has the potential to improve diagnostic accuracy. Furthermore, such a combination score has a strong correlation with cancer grade.Key Points: • Computer-aided diagnosis helps radiologists discriminate benign findings from cancer in prostate MRI. • Combining PIRADS and computer-aided diagnosis improves differentiation between indolent and aggressive cancer. • Adding computer-aided diagnosis to PIRADS increases the correlation coefficient with respect to cancer grade. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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