Literature DB >> 16882061

Maximum tumor diameter is a simple and valuable index associated with the local extent of disease in clinically localized prostate cancer.

Ryuichi Mizuno1, Jun Nakashima, Makio Mukai, Hajime Ookita, Ken Nakagawa, Mototsugu Oya, Takashi Ohigashi, Ken Marumo, Masaru Murai.   

Abstract

BACKGROUND: The present study was undertaken to investigate the association of pathological features, including the total tumor volume (TTV), maximum tumor area (MTA), and maximum tumor diameter (MTD), with the local extent of disease in clinically localized prostate cancer.
METHODS: Serial whole sections of the prostate from 164 patients who underwent radical prostatectomy for localized prostate cancer were investigated. The correlations between the indicators of tumor size, including the TTV, MTA, and MTD, and other pathological parameters were evaluated.
RESULTS: The MTD, MTA, and TTV were significantly correlated with each other. Multivariate stepwise logistic regression analysis indicated that the Gleason score, perineural invasion, microvascular invasion, and MTD were significant independent parameters associated with extraprostatic disease.
CONCLUSION: The histological tumor grade, perineural invasion, microvascular invasion, and tumor size were correlated with the local extent of disease. The MTD, a simple, easy, and inexpensive parameter, is a more significant pathological feature associated with the local extent of disease than the MTA or TTV.

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Year:  2006        PMID: 16882061     DOI: 10.1111/j.1442-2042.2006.01446.x

Source DB:  PubMed          Journal:  Int J Urol        ISSN: 0919-8172            Impact factor:   3.369


  5 in total

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Authors:  Michael A Gorin; Heather J Chalfin; Jonathan I Epstein; Zhaoyong Feng; Alan W Partin; Bruce J Trock
Journal:  Urology       Date:  2014-03-19       Impact factor: 2.649

2.  Maximum tumor diameter adjusted to the risk profile predicts biochemical recurrence after radical prostatectomy.

Authors:  Georg Müller; Malte Rieken; Gernot Bonkat; Joel Roman Gsponer; Tatjana Vlajnic; Christian Wetterauer; Thomas C Gasser; Stephen F Wyler; Alexander Bachmann; Lukas Bubendorf
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3.  Effect of observation size and apparent diffusion coefficient (ADC) value in PI-RADS v2.1 assessment category 4 and 5 observations compared to adverse pathological outcomes.

Authors:  Jorge Abreu-Gomez; Daniel Walker; Tareq Alotaibi; Matthew D F McInnes; Trevor A Flood; Nicola Schieda
Journal:  Eur Radiol       Date:  2020-03-24       Impact factor: 5.315

4.  Predicting side-specific prostate cancer extracapsular extension: a simple decision rule of PSA, biopsy, and MRI parameters.

Authors:  Piotr Zapała; Bartosz Dybowski; Ewa Bres-Niewada; Tomasz Lorenc; Agnieszka Powała; Zbigniew Lewandowski; Marek Gołębiowski; Piotr Radziszewski
Journal:  Int Urol Nephrol       Date:  2019-06-10       Impact factor: 2.370

5.  Combining prostate health index and multiparametric magnetic resonance imaging in estimating the histological diameter of prostate cancer.

Authors:  Po-Fan Hsieh; Tzung-Ruei Li; Wei-Ching Lin; Han Chang; Chi-Ping Huang; Chao-Hsiang Chang; Chi-Rei Yang; Chin-Chung Yeh; Wen-Chin Huang; Hsi-Chin Wu
Journal:  BMC Urol       Date:  2021-11-20       Impact factor: 2.264

  5 in total

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