Evidence map›Paper›PMID 39239321›Full record

ArticleJournal of cytology

Utility of Image Morphometry in the Atypical Urothelial Cells and High-Grade Urothelial Carcinoma Categories of the Paris System for Reporting Urinary Cytology.

K C Sharan, Manish Rohilla, Pranab Dey, Radhika Srinivasan, Nandita Kakkar, Ravimohan S Mavuduru

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Article in Journal of cytology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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5 · Who and what money

Authors and funding

6 authors.

K C SharanDepartment of Cytology and Gynecological Pathology, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Manish RohillaDepartment of Cytology and Gynecological Pathology, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Pranab DeyDepartment of Cytology and Gynecological Pathology, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Radhika SrinivasanDepartment of Cytology and Gynecological Pathology, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Nandita KakkarDepartment of Histopathology, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Ravimohan S MavuduruDepartment of Urology, Postgraduate Institute of Medical Education and Research, Chandigarh, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Urinary cytology (UrCy) is highly sensitive to diagnosing high-grade urothelial carcinoma (HGUC) but cannot predict muscularis propria invasion. Further, the atypical urothelial cell category (AUC) may have variable outcomes. Image morphometry (IM) may be a valuable adjunct technique in this setting. Hence, we evaluated IM in the AUC and HGUC categories to improve the diagnostic performance. Materials and Methods: The following six nuclear parameters were evaluated by IM on 3150 cells: nucleo-cytoplasmic (N:C) ratio, nuclear area, diameter, perimeter, standard deviation of the nuclear area (SDNA; pleomorphism) and integrated density (ID; nuclear chromasia), using the ImageJ software, in three cohorts based on the histopathology outcome: 20 cases of AUC - benign non-neoplastic outcome (AUC-B); 22 cases of HGUC Muscle invasive (HGUC-MI) and 21 cases of HGUC non-muscle invasive (HGUC-MF). Results: A retrospective analysis of urine cytology. The patient's ages ranged from 36 to 85 years, with a mean age of 60.6. The male-to-female ratio was 5.4:1. A total of 20 cases of AUC-B and 43 cases of HGUC were selected for IM analysis. HGUC cases had higher nuclear parameters than AUC-B, and HGUC-MI had higher SDNA, ID, diameter, and area than HGUC-MF. SDNA and ID predict muscularis propria invasion in HGUC. Conclusions: Image morphometry successfully differentiates HGUC cases from benign non-neoplastic ones and might help to identify muscularis propria invasion in HGUC using a combination of nuclear parameters.

Indexed as

Atypical urothelial cellsimage morphometryrisk of malignancyrisk stratificationurine cytologyurothelial carcinoma

Identifiers

PMID39239321
PMCPMC11373713

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