» Articles » PMID: 33576305

Stereology in Grading and Prognosis of Canine Cutaneous Mast Cell Tumors

Overview
Journal Vet Pathol
Date 2021 Feb 12
PMID 33576305
Citations 2
Authors
Affiliations
Soon will be listed here.
Abstract

Canine cutaneous mast cell tumors (ccMCTs) are currently graded according to Patnaik and Kiupel grading schemes. The qualitative and semiquantitative parameters applied in these schemes may lead to inter- and intraobserver variability. This study investigates the prognostic value of volume-weighted mean nuclear volume (), a stereological estimation that provides information about nuclear size and its variability. of 55 ccMCTs was estimated using the "point-sampled intercept" method and compared with histological grade and clinical outcome. The clinical history of dogs treated with surgical excision alone was available for 30 ccMCTs. Statistical differences in were found between grade II (= 115 ± 29 µm) and grade III ccMCTs (= 197 ± 63 µm), as well as between low-grade (= 113 ± 28 µm) and high-grade ccMCTs (= 184 ± 63 µm). An optimal cutoff value of ≥ 150 µm and ≥ 140 µm was determined for grade III and high-grade ccMCTs, respectively. In terms of prognosis, was not able to predict the clinical outcome in 42% of the cases; however, cases with <125 µm had a favorable outcome. These results indicate that, despite having limited prognostic value when used as a solitary parameter, is highly reproducible and is associated with histological grade as well as with benign behavior.

Citing Articles

Level of Necrosis in Feline Mammary Tumors: How to Quantify, Why and for What Purpose?.

Rodrigues-Jesus J, Canadas-Sousa A, Santos M, Oliveira P, Figueira A, Marrinhas C Animals (Basel). 2024; 14(22).

PMID: 39595332 PMC: 11591325. DOI: 10.3390/ani14223280.


Nuclear pleomorphism in canine cutaneous mast cell tumors: Comparison of reproducibility and prognostic relevance between estimates, manual morphometry, and algorithmic morphometry.

Haghofer A, Parlak E, Bartel A, Donovan T, Assenmacher C, Bolfa P Vet Pathol. 2024; 62(2):161-177.

PMID: 39560067 PMC: 11874577. DOI: 10.1177/03009858241295399.


Automated Nuclear Morphometry: A Deep Learning Approach for Prognostication in Canine Pulmonary Carcinoma to Enhance Reproducibility.

Glahn I, Haghofer A, Donovan T, Degasperi B, Bartel A, Kreilmeier-Berger T Vet Sci. 2024; 11(6).

PMID: 38922025 PMC: 11209399. DOI: 10.3390/vetsci11060278.

References
1.
Sorensen F . Stereological estimation of the mean and variance of nuclear volume from vertical sections. J Microsc. 1991; 162(Pt 2):203-29. DOI: 10.1111/j.1365-2818.1991.tb03132.x. View

2.
Patnaik A, Ehler W, MacEwen E . Canine cutaneous mast cell tumor: morphologic grading and survival time in 83 dogs. Vet Pathol. 1984; 21(5):469-74. DOI: 10.1177/030098588402100503. View

3.
Kiupel M, Webster J, Kaneene J, Miller R, Yuzbasiyan-Gurkan V . The use of KIT and tryptase expression patterns as prognostic tools for canine cutaneous mast cell tumors. Vet Pathol. 2004; 41(4):371-7. DOI: 10.1354/vp.41-4-371. View

4.
Dunne B, Going J . Scoring nuclear pleomorphism in breast cancer. Histopathology. 2001; 39(3):259-65. DOI: 10.1046/j.1365-2559.2001.01220.x. View

5.
Sorensen F . Objective histopathologic grading of cutaneous malignant melanomas by stereologic estimation of nuclear volume. Prediction of survival and disease-free period. Cancer. 1989; 63(9):1784-98. DOI: 10.1002/1097-0142(19900501)63:9<1784::aid-cncr2820630922>3.0.co;2-9. View