Literature DB >> 10604703

Modeling prostate cancer distributions.

H Frimmel1, L Egevad, E Bengtsson, C Busch.   

Abstract

OBJECTIVES: To use computer-assisted three-dimensional (3D) reconstruction to study cancer distribution in the prostate. The distributions have been determined using data from 81 prostates surgically removed because of cancer.
METHODS: The pattern of distribution was determined by reshaping (morphing) all prostates in the same size category (small, medium, large) into the same shape and by overlayering the 3D distribution of all cancers into a "unit prostate." Also, the pattern of 3D distribution was defined for small, medium, and large volume cancers.
RESULTS: The study yielded a clear, visual "scatter diagram" representation of the statistics of prostate cancer distribution. It confirmed previous general knowledge: small cancers are mainly found in the lower one third and principally in the dorsolateral part of the gland.
CONCLUSIONS: This report is part of the investigations preliminary to establishing an optimal protocol for needle biopsy of prostate cancer.

Entities:  

Mesh:

Year:  1999        PMID: 10604703     DOI: 10.1016/s0090-4295(99)00308-8

Source DB:  PubMed          Journal:  Urology        ISSN: 0090-4295            Impact factor:   2.649


  5 in total

1.  Sexual function and the use of medical devices or drugs to optimize potency after prostate brachytherapy.

Authors:  J Taylor Whaley; Lawrence B Levy; David A Swanson; Thomas J Pugh; Rajat J Kudchadker; Teresa L Bruno; Steven J Frank
Journal:  Int J Radiat Oncol Biol Phys       Date:  2012-01-31       Impact factor: 7.038

2.  Distribution of prostate carcinoma foci within the peripheral zone: analysis of 8,062 prostate biopsy cores.

Authors:  C Brossner; A Winterholer; M Roehlich; E Dlouhy-Schütz; V Serra; M Sonnleithner; K H Grubmüller; K Pummer; E Schuster
Journal:  World J Urol       Date:  2003-06-03       Impact factor: 4.226

Review 3.  Three-dimensional sonography with needle tracking: role in diagnosis and treatment of prostate cancer.

Authors:  Feimo Shen; Katsuto Shinohara; Dinesh Kumar; Animesh Khemka; Anne R Simoneau; Priya N Werahera; Lu Li; Yujun Guo; Ramkrishnan Narayanan; Liyang Wei; Al Barqawi; E David Crawford; Christos Davatzikos; Jasjit S Suri
Journal:  J Ultrasound Med       Date:  2008-06       Impact factor: 2.153

4.  Methodology to study the three-dimensional spatial distribution of prostate cancer and their dependence on clinical parameters.

Authors:  Kristians Diaz Rojas; Maria L Montero; Jorge Yao; Edward Messing; Anees Fazili; Jean Joseph; Yangming Ou; Deborah J Rubens; Kevin J Parker; Christos Davatzikos; Benjamin Castaneda
Journal:  J Med Imaging (Bellingham)       Date:  2015-07-29

5.  Statistical 3D Distribution Analysis of Prostate Cancers in Korean Using Digital Processing Techniques.

Authors:  Pil June Pak; Dong Ik Shin; Young Mi Cho; Se Kyeong Joo; Soo Jin Huh
Journal:  Healthc Inform Res       Date:  2011-03-31
  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.