Biologic Behavior and Prognostic Factors for Mast Cell Tumors of the Canine Muzzle: 24 Cases (1990-2001)

Author(s):  
Tracy L. Gieger ◽  
Alain P. Théon ◽  
Jonathan A. Werner ◽  
Margaret C. McEntee ◽  
Kenneth M. Rassnick ◽  
...  
2003 ◽  
Vol 17 (5) ◽  
pp. 687-692 ◽  
Author(s):  
Tracy L. Gieger ◽  
Alain P. Theon ◽  
Jonathan A. Werner ◽  
Margaret C. McEntee ◽  
Kenneth M. Rassnick ◽  
...  

2017 ◽  
Vol 16 (1) ◽  
pp. 20-27 ◽  
Author(s):  
B. J. Evans ◽  
D. O'Brien ◽  
S. D. Allstadt ◽  
T. P. Gregor ◽  
K. U. Sorenmo

1994 ◽  
Vol 31 (6) ◽  
pp. 637-647 ◽  
Author(s):  
J. P. C. Simoes ◽  
P. Schoning ◽  
M. Butine

In this study, age, sex, recurrence, metastasis, death rate, and histologic patterns were in agreement with those of previous reports on canine mast cell tumors. Histologic grading, mitotic index, chromosome nucleolar organizer regions stained with silver (AgNORs), and anti-proliferating cell nuclear antigen (PCNA) were evaluated as indicators of prognosis. Histologic grading, AgNORs estimated in 100 cells, and PCNA-labeled fraction estimated in five high power fields (HPFs) were significantly different between recurring and nonrecurring tumors. Those prognostic factors were also significantly different between tumors that metastasized and those that did not. The survival time was lower in dogs with mast cell tumors with histologic grade 3 (Patnaik's), AgNOR counts higher than 2.25, and PCNA count in five HPFs higher than 261. The significance of these factors as markers for prognosis determined by logistic regression analysis differed with the time period considered. By combining the three most significant prognostic factors in a prognostic index, three models were obtained to determine the probability of nonrecurrence at 3, 6, and 9 months after surgery. The models were accurate in the prediction of the outcome of up to 80% of mast cell tumors. The use of these models provides a less subjective means of prognosticating mast cell tumors than the use of any one component alone.


2004 ◽  
Vol 225 (3) ◽  
pp. 401-408 ◽  
Author(s):  
Alane Kosanovich Cahalane ◽  
Sarah Payne ◽  
Lisa G. Barber ◽  
Lillian E. Duda ◽  
Carolyn J. Henry ◽  
...  

2021 ◽  
Vol 42 ◽  
pp. 100506
Author(s):  
Samanta Rios Melo ◽  
Eric Vieira Januário ◽  
Erika Zanuto ◽  
Bruna de Castro Miranda ◽  
Thais Rodrigues Macedo ◽  
...  

2021 ◽  
pp. 030098582098513
Author(s):  
Mafalda Casanova ◽  
Sandra Branco ◽  
Inês Berenguer Veiga ◽  
André Barros ◽  
Pedro Faísca

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 ([Formula: see text]), a stereological estimation that provides information about nuclear size and its variability. [Formula: see text] 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 [Formula: see text] were found between grade II ([Formula: see text]= 115 ± 29 µm3) and grade III ccMCTs ([Formula: see text]= 197 ± 63 µm3), as well as between low-grade ([Formula: see text]= 113 ± 28 µm3) and high-grade ccMCTs ([Formula: see text]= 184 ± 63 µm3). An optimal cutoff value of [Formula: see text] ≥ 150 µm3 and [Formula: see text] ≥ 140 µm3 was determined for grade III and high-grade ccMCTs, respectively. In terms of prognosis, [Formula: see text] was not able to predict the clinical outcome in 42% of the cases; however, cases with [Formula: see text]<125 µm3 had a favorable outcome. These results indicate that, despite having limited prognostic value when used as a solitary parameter, [Formula: see text] is highly reproducible and is associated with histological grade as well as with benign behavior.


2004 ◽  
Vol 2 (2) ◽  
pp. 98-98 ◽  
Author(s):  
P. J. Bergman ◽  
D. M. Craft ◽  
S. J. Newman ◽  
K. Baer ◽  
M. A. Camps-Palau ◽  
...  

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