Stereology in Grading and Prognosis of Canine Cutaneous Mast Cell Tumors

Casanova, Mafalda; Branco, Sandra; Berenguer Veiga, Inês; Barros, André; Faísca, Pedro (2021). Stereology in Grading and Prognosis of Canine Cutaneous Mast Cell Tumors. Veterinary pathology, 58(3), pp. 483-490. Sage 10.1177/0300985820985138

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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 (vv ), a stereological estimation that provides information about nuclear size and its variability. vv 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 vv were found between grade II (x¼ 115 + 29 mm3) and grade III ccMCTs (x¼ 197 + 63 mm3), as well as between low-grade (x¼ 113 + 28 mm3) and high-grade ccMCTs (x¼ 184 + 63 mm3). An optimal cutoff value of vv 150 mm3 and vv 140 mm3 was determined for grade III and high-grade ccMCTs, respectively. In terms of prognosis, vv was not able to predict the clinical outcome in 42% of the cases; however, cases with vv <125 mm3 had a favorable outcome. These results indicate that, despite having limited prognostic value when used as a solitary parameter, vv is highly reproducible and is associated with histological grade as well as with benign behavior.

Item Type:

Journal Article (Original Article)

Division/Institute:

05 Veterinary Medicine > Department of Infectious Diseases and Pathobiology (DIP) > Institute of Animal Pathology
05 Veterinary Medicine > Department of Infectious Diseases and Pathobiology (DIP)

UniBE Contributor:

Berenguer Veiga, Inês Margarida

Subjects:

500 Science > 570 Life sciences; biology
500 Science > 590 Animals (Zoology)
600 Technology > 630 Agriculture

ISSN:

1544-2217

Publisher:

Sage

Language:

English

Submitter:

Inês Margarida Berenguer Veiga

Date Deposited:

25 Mar 2021 09:54

Last Modified:

23 Apr 2021 01:33

Publisher DOI:

10.1177/0300985820985138

PubMed ID:

33576305

BORIS DOI:

10.7892/boris.152973

URI:

https://boris.unibe.ch/id/eprint/152973

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