Universität zu Köln

Tolkach, Yuri, Eminaga, Okyaz, Woetzel, Fabian, Huss, Sebastian, Bettendorf, Olaf, Eltze, Elke, Abbas, Mahmoud, Imkamp, Florian and Semjonow, Axel (2017). Blind Biobanking of the Prostatectomy Specimen: Critical Evaluation of the Existing Techniques and Development of the New 4-Level Tissue Extraction Model With High Sampling Efficacy. Prostate, 77 (4). S. 396 - 406. HOBOKEN: WILEY. ISSN 1097-0045

Full text not available from this repository.

Abstract

BACKGROUND. Fresh tissue is mandatory to perform high-quality translation studies. Several models for tissue extraction from prostatectomy specimens without guidance by frozen sections are already introduced. However, little is known about the sampling efficacy of these models, which should provide representative tissue in adequate volumes, account for multifocality and heterogeneity of tumor, not violate the routine final pathological examination, and perform quickly without frozen section-based histological control. The aim of the study was to evaluate the sampling efficacy of the existing tissue extraction models without guidance by frozen sections (blind) and to develop an optimized model for tissue extraction. METHODS. Five hundred thirty-three electronic maps of the tumor distribution in prostates from a single-center cohort of the patients subjected to radical prostatectomy were used for analysis. Six available models were evaluated in silico for their sampling efficacy. Additionally, a novel model achieving the best sampling efficacy was developed. RESULTS. The available models showed high efficacies for sampling any part from the tumor (up to 100%), but were uniformly low in efficacy to sample all tumor foci from the specimens (with the best technique sampling only 51.6% of the all tumor foci). The novel 4-level extraction model achieved a sampling efficacy of 93.1% for all tumor foci. CONCLUSIONS. The existing blind tissue extraction models from prostatectomy specimens without frozen sections control are suitable to target tumor tissues but these tissues do not represent the whole tumor. The novel 4-level model provides the highest sampling efficacy and a promising potential for integration into routine. (C) 2016 Wiley Periodicals, Inc.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Tolkach, Yuri UNSPECIFIED UNSPECIFIED UNSPECIFIED Eminaga, Okyaz UNSPECIFIED UNSPECIFIED UNSPECIFIED Woetzel, Fabian UNSPECIFIED UNSPECIFIED UNSPECIFIED Huss, Sebastian UNSPECIFIED UNSPECIFIED UNSPECIFIED Bettendorf, Olaf UNSPECIFIED UNSPECIFIED UNSPECIFIED Eltze, Elke UNSPECIFIED UNSPECIFIED UNSPECIFIED Abbas, Mahmoud UNSPECIFIED UNSPECIFIED UNSPECIFIED Imkamp, Florian UNSPECIFIED UNSPECIFIED UNSPECIFIED Semjonow, Axel UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-238664
DOI:	10.1002/pros.23278
Journal or Publication Title:	Prostate
Volume:	77
Number:	4
Page Range:	S. 396 - 406
Date:	2017
Publisher:	WILEY
Place of Publication:	HOBOKEN
ISSN:	1097-0045
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language CANCER; TRACKING; MAP Multiple languages Endocrinology & Metabolism; Urology & Nephrology Multiple languages
Refereed:	Yes
URI:	http://kups.ub.uni-koeln.de/id/eprint/23866