Optimized prostate biopsy via a statistical atlas of cancer spatial distribution

TitleOptimized prostate biopsy via a statistical atlas of cancer spatial distribution
Publication TypeJournal Article
Year of Publication2004
AuthorsShen, D., Lao Z., Zeng J., Zhang W., Sesterhenn I., Sun L., Moul J., Herskovits E., Fichtinger G., & Davatzikos C.
JournalMedical image analysis
Volume8
Number2
Pagination139–150
Date PublishedJun
KeywordsAlgorithms, Biological, Biopsy, Cohort Studies, Computer Simulation, Computer-Assisted, Forecasting, Humans, Image Processing, Imaging, Male, Models, Needle, pathology, Probability, Prostate, Prostatic Neoplasms, Reproducibility of Results, Statistical, statistics /&/ numerical data, Three-Dimensional
Abstract

A methodology is presented for constructing a statistical atlas of spatial distribution of prostate cancer from a large patient cohort, and it is used for optimizing needle biopsy An adaptive-focus deformable model is used for the spatial normalization, registration of 100 prostate histological samples, which were provided by the Center for Prostate Disease Research of the US Department of Defense, resulting in a statistical atlas of spatial distribution of prostate cancer Based on this atlas, a statistical predictive model was developed to optimize the needle biopsy sites, by maximizing the probability of detecting cancer Experimental results using cross-validation show that the proposed method can detect cancer with a 99% success rate using seven needles, in these samples
URLhttp://dx doi org/10 1016/j media 2003 11 002
DOI
PerkWeb Citation KeyShen2004a