DocumentCode :
1851770
Title :
Prostate cancer computer-assisted diagnosis software using dynamic contrast-enhanced MRI
Author :
Puech, P. ; Betrouni, N. ; Viard, R. ; Villers, A. ; Leroy, X. ; Lemaitre, Laurent
Author_Institution :
Univ. Hosp. of Lille, Lille
fYear :
2007
fDate :
22-26 Aug. 2007
Firstpage :
5567
Lastpage :
5570
Abstract :
ProCAD is a computer assisted diagnosis (CAD) software dedicated to prostate DCE-MRI analysis. In addition to standard visualization features, 2D and multislice 2D contouring tools based on a seeded growing region algorithm were included in the software. Tumor volume assessment and semiquantitative analysis of suspicious lesions can be performed. A 5-levels cancer suspicion score (ranging from "probably benign" to "highly suspicious") is calculated on the basis of adjusted parameters extracted from the data of 121 suspicious benign or tumoral lesions. RESULTS: Using a simple scoring algorithm based the median w.i and w.o values of TZK, TZB, PZK and PZB and designed to provide the highest sensitivity we had respective Se/Sp of 100/49% for peripheral zone cancers, and 100/40% for transition zone cancers characterization. CONCLUSION: This software provides useful data for an unbiased an reproducible assessment of hypervascularized prostatic areas in routine practice.
Keywords :
biomedical MRI; cancer; medical image processing; tumours; DCE-MRI analysis; ProCAD; benign lesions; computer-assisted diagnosis software; dynamic contrast-enhanced MRI; multislice 2D contouring; prostate cancer; seeded growing region algorithm; tumor volume assessment; tumoral lesions; Computer aided diagnosis; Data visualization; Lesions; Magnetic resonance imaging; Neoplasms; Performance analysis; Prostate cancer; Software algorithms; Software standards; Software tools; Algorithms; Artificial Intelligence; Contrast Media; Humans; Image Enhancement; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Information Storage and Retrieval; Magnetic Resonance Imaging; Male; Pattern Recognition, Automated; Prostatic Neoplasms; Reproducibility of Results; Sensitivity and Specificity; Software; Software Design; User-Computer Interface;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
Conference_Location :
Lyon
ISSN :
1557-170X
Print_ISBN :
978-1-4244-0787-3
Type :
conf
DOI :
10.1109/IEMBS.2007.4353608
Filename :
4353608
Link To Document :
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