2008
DOI: 10.1007/s00428-008-0585-x
|View full text |Cite
|
Sign up to set email alerts
|

Diagnostic algorithm for papillary urothelial tumors in the urinary bladder

Abstract: Papillary urothelial neoplasms with deceptively bland cytology cannot be easily classified. We aimed to design a new algorithm that could differentiate between these neoplasms based on a scoring system. We proposed a new scoring system that enables to reproducibly diagnose non-invasive papillary urothelial tumors. In this system, each lesion was given individual scores from 0 to 3 for mitosis and cellular thickness, from 0 to 2 for cellular atypia, and an additional score for papillary fusion. These scores wer… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

3
18
0
3

Year Published

2013
2013
2019
2019

Publication Types

Select...
8

Relationship

0
8

Authors

Journals

citations
Cited by 27 publications
(24 citation statements)
references
References 24 publications
(32 reference statements)
3
18
0
3
Order By: Relevance
“…The histological assessment was performed at the center-specific pathology department and was based on the WHO-grading system and TNM classification as approved by the AJCC [4]. The pathologic macro-and microscopic evaluation of specimens included cross-sectioning of the entire specimen with immunohistochemical staining to identify the presence of urothelial, squamous cell, adenocarcinoma or other histological variants [5]. Clinical staging was based on biopsy, bimanual examination, and cross-sectional imaging findings.…”
Section: Clinical and Histological Assessmentmentioning
confidence: 99%
“…The histological assessment was performed at the center-specific pathology department and was based on the WHO-grading system and TNM classification as approved by the AJCC [4]. The pathologic macro-and microscopic evaluation of specimens included cross-sectioning of the entire specimen with immunohistochemical staining to identify the presence of urothelial, squamous cell, adenocarcinoma or other histological variants [5]. Clinical staging was based on biopsy, bimanual examination, and cross-sectional imaging findings.…”
Section: Clinical and Histological Assessmentmentioning
confidence: 99%
“…Определение степени злокачественности ПКР проводили с использованием систем ВОЗ, 1973 [6], и ВОЗ, 2004 [7], а также диагностического алгоритма для папиллярных уротелиальных опухолей [8]. Соглас-но указанному алгоритму каждому признаку присва-ивались индивидуальные баллы (от 0 до 3 баллов для количества митозов и количества клеточных сло-ев, от 0 до 2 баллов для степени выраженности клеточ-ной атипии и дополнительный балл для описания характера роста папиллярной опухоли).…”
Section: материалы и методыunclassified
“…Эти баллы суммировали, что позволило разделить опухоли сле-дующим образом: 0-1 балл -уротелиальная папилло-ма, 2-4 балла -опухоль с низким злокачественным потенциалом, 5-7 баллов -низкозлокачественный и 8-9 баллов -высокозлокачественный папиллярный ПКР (табл. 1, 2) [8].…”
Section: материалы и методыunclassified
“…The pathological macro- and microscopic evaluation of cystoprostatectomy specimens included cross-sectioning of the entire prostate at 4-5-mm intervals with immunohistochemical staining to identify the presence of bladder [12] and PC [13]. Prostate specimens were processed according to the Stanford protocol [13].…”
Section: Methodsmentioning
confidence: 99%