Non-neoplastic diseases of the prostate

Bostwick, David G.; Qian, Junqi; Hossain, Deloar

doi:10.1016/b978-0-323-01970-5.50010-5

Cited by 5 publications

(3 citation statements)

References 395 publications

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“…It has been observed that 68% of cancer tumors are found in the peripheral zone of the prostate [23], which correlates with about 70% of the prostate total volume [24]. Since the majority of tumors are found in the peripheral zone, clinical data used in the current study is restricted to cancer originating from this area, whereas follow-on studies are planned to address the remainder of the prostate.…”

Section: Prostate Cancer and Tumor Growthmentioning

confidence: 99%

Generating prostate models by means of geometric deformation with application to computerized training of cryosurgery

2012

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Purpose As a part of an ongoing effort to develop computerized training tools for cryosurgery, this study presents a scheme to geometrically deform a 3D organ template in order to generate clinically relevant prostate models. The objective for creating deformed models is to develop a database for computerized training. This study further presents compiled literature data on the likelihood of cancer tumor growth in the prostate and its relationship to the prostate shape. Methods Cryosurgery is typically performed on patients with localized prostate cancer, found in stages T3 or earlier. The analysis is restricted to cancer originating from the peripheral zone of the prostate as majority of cancer cases are found within this region. The distribution of geometric features, likely to be found in prostates at stage T3, is determined using tumor growth patterns that attribute to changes in the prostate surface. The extended free-form deformation (EFFD) method is applied on a 3D prostate template to create localized surface changes that resemble cancerous prostates. Results Deformed prostate models were generated using the process of: (1) selecting the desired deformation parameters—extra capsular extension (ECE) range and location, and (2) manipulating the lattice control points until the deformed prostate model's ECE length and transverse span fall within the pre-selected ranges. Conclusions EFFD is an efficient method to rapidly generate prostate models for the application of computerized training of cryosurgery. While the selected criteria for deformation do not lead to a unique shape, since the contours of the deformed body are randomly selected, they do lead to shapes resembling cancer growth, as various growth histories can lead to different ECE shapes of the same maximum extension.

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Section: Prostate Cancer and Tumor Growthmentioning

confidence: 99%

Generating prostate models by means of geometric deformation with application to computerized training of cryosurgery

2012

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“…Prostatic granulomas may occur in a variety of settings, including infectious diseases, after medical intervention (including transurethral resection of the prostate), in malakoplakia and a variety of systemic disorders, and as idiopathic granulomatous prostatitis …”

Section: Introductionmentioning

confidence: 99%

The distribution of BCG prostatitis: A clue for pathogenetic processes?

Butel

Ball

2018

The Prostate

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Our observations imply the microanatomical arrangement of prostatic ducts is a factor in the pathogenesis of BCG prostatitis. PZ ducts enter the urethra at less obtuse angles than those from other zones and are likely to be more prone to urine reflux and damage from suspended BCG. We speculate that prostatic duct microanatomy could also play a role in the pathogenesis of other prostatic diseases, including conventional prostatitis and adenocarcinoma.

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“…The inner side of the gland has papillary infoldings of the lining epithelium, which consist of two major cell types -secretory and basal cells. 3 The population-based cancer registry under National Cancer Registry Programme of Indian Council of Medical Research (NCRP of ICMR), Regional Institute of Medical Sciences, Imphal, has been functioning under the Department of Pathology, RIMS, since January 2003. The total number of prostate cancers diagnosed between the year 2006 and 2008 was 30 out of 1934 cancers detected among the male population of Manipur.…”

Section: Introductionmentioning

confidence: 99%

Histomorphological Profile of Prostate Biopsies and Correlation With Serum Tpsa Level

Kumar¹,

Sharma²,

Debnath³

et al. 2017

jebmh

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BACKGROUND In our study, 50 cases of transurethral prostate biopsies were evaluated histopathologically in the Department of Pathology in collaboration with Department of Urology, Regional Institute of Medical Sciences, Imphal, from October 2013 to September 2015. Total PSA (tPSA) was estimated from serum samples in all cases. MATERIALS AND METHODS A total of 50 patients with elevated serum tPSA levels were inducted in this study and prostate needle biopsies taken. Matched prostatectomy specimens were also obtained for 7 cases. Specimens were kept in 10% formalin saline, grossing done and tissues processed. H and E stained sections were examined and the different histomorphological features noted. Gleason scoring system was used in cancers to stratify it. RESULTS Out of the 50 cases, 30 malignant (all adenocarcinomas), 4 premalignant and 16 benign cases were found. Gleason scoring on needle biopsies were compared against the prostatectomy specimens. In 5 carcinoma cases with Gleason score 3+3=6 on needle biopsy, 4 cases had similar findings in the corresponding prostatectomy specimens, however, it was upgraded in 1 case. Intermediate differentiation prostatic carcinomas with Gleason score 3+4=7 in needle biopsies were comparable with prostatectomy specimens in 2 cases. The differentiation of prostatic carcinoma visa -vis Gleason scoring correlated well with the PSA values. In carcinomas, tPSA value and the Gleason score had a very good correlation (rs = 0.908). Mean PSA value was found to increase from benign to premalignant and malignant cases, this was found to be statistically significant (p<0.05). CONCLUSION Use of newer technologies like MRI and serum PSA as a screening tool for prostate pathology have made it possible to identify prostate cancer at an earlier stage in younger age group and has an increased case detection rate. However, there is no marker to predict disease course and at times lead to overtreatment. Image-guided prostate biopsy has a good patient compliance and is advantageous for procurement of representative material. While literatures have claimed that MRI can distinguish benign from malignant lesions accurately, the age old 'histopathology' still remains the gold standard.

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Non-neoplastic diseases of the prostate

Cited by 5 publications

References 395 publications

Generating prostate models by means of geometric deformation with application to computerized training of cryosurgery

Generating prostate models by means of geometric deformation with application to computerized training of cryosurgery

The distribution of BCG prostatitis: A clue for pathogenetic processes?

Histomorphological Profile of Prostate Biopsies and Correlation With Serum Tpsa Level

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