Universität zu Köln

Roethke, Matthias C., Kuru, Timur H., Mueller-Wolf, Maya B., Agterhuis, Erik, Edler, Christopher, Hohenfellner, Markus, Schlemmer, Heinz-Peter and Hadaschik, Boris A. (2016). Evaluation of an Automated Analysis Tool for Prostate Cancer Prediction Using Multiparametric Magnetic Resonance Imaging. PLoS One, 11 (7). SAN FRANCISCO: PUBLIC LIBRARY SCIENCE. ISSN 1932-6203

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Abstract

Objective To evaluate the diagnostic performance of an automated analysis tool for the assessment of prostate cancer based on multiparametric magnetic resonance imaging (mpMRI) of the prostate. Methods A fully automated analysis tool was used for a retrospective analysis of mpMRI sets (T2-weighted, T1-weighted dynamic contrast-enhanced, and diffusion-weighted sequences). The software provided a malignancy prediction value for each image pixel, defined as Malignancy Attention Index (MAI) that can be depicted as a colour map overlay on the original images. The malignancy maps were compared to histopathology derived from a combination of MRI-targeted and systematic transperineal MRI/TRUS-fusion biopsies. Results In total, mpMRI data of 45 patients were evaluated. With a sensitivity of 85.7% (with 95% CI of 65.4-95.0), a specificity of 87.5%(with 95% CI of 69.0-95.7) and a diagnostic accuracy of 86.7% (with 95% CI of 73.8-93.8) for detection of prostate cancer, the automated analysis results corresponded well with the reported diagnostic accuracies by human readers based on the PI-RADS system in the current literature. Conclusion The study revealed comparable diagnostic accuracies for the detection of prostate cancer of a user-independent MAI-based automated analysis tool and PI-RADS-scoring-based human reader analysis of mpMRI. Thus, the analysis tool could serve as a detection support system for less experienced readers. The results of the study also suggest the potential of MAI-based analysis for advanced lesion assessments, such as cancer extent and staging prediction.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Roethke, Matthias C. UNSPECIFIED UNSPECIFIED UNSPECIFIED Kuru, Timur H. UNSPECIFIED UNSPECIFIED UNSPECIFIED Mueller-Wolf, Maya B. UNSPECIFIED UNSPECIFIED UNSPECIFIED Agterhuis, Erik UNSPECIFIED UNSPECIFIED UNSPECIFIED Edler, Christopher UNSPECIFIED UNSPECIFIED UNSPECIFIED Hohenfellner, Markus UNSPECIFIED UNSPECIFIED UNSPECIFIED Schlemmer, Heinz-Peter UNSPECIFIED UNSPECIFIED UNSPECIFIED Hadaschik, Boris A. UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-269636
DOI:	10.1371/journal.pone.0159803
Journal or Publication Title:	PLoS One
Volume:	11
Number:	7
Date:	2016
Publisher:	PUBLIC LIBRARY SCIENCE
Place of Publication:	SAN FRANCISCO
ISSN:	1932-6203
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language ULTRASOUND-GUIDED BIOPSY; FUSION; SYSTEM; DIAGNOSIS; MRI; ACCURACY; SOCIETY Multiple languages Multidisciplinary Sciences Multiple languages
Refereed:	Yes
URI:	http://kups.ub.uni-koeln.de/id/eprint/26963