OBJECTIVE: To assess the usefulness of histologic evaluation of surgical margins to predict local recurrence of cutaneous malignant tumors in dogs and cats treated by means of surgical excision. DESIGN: Prospective case series. ANIMALS: 40 dogs and 20 cats. PROCEDURES: 60 surgically excised tumors (20 soft tissue sarcomas [STSs], 20 mast cell tumors [MCTs], and 20 carcinomas) were examined histologically. Margins were classified as clean, close, or infiltrated; histologic grade was assessed in STSs and MCTs. Recurrence rates and recurrence-free intervals (RFIs) during a 24-month follow-up period were recorded, and method accuracy was calculated. RESULTS: Surgical margins were clean in 29 of 60 (48%) tumors, close in 11 (18%), and infiltrated in 20 (33%). Tumors recurred in 27 of 60 (45%) animals, with a mean ± SD RFI of 229 ± 173 days. Recurrence rates for animals that had tumors with infiltrated (16/20) or close (8/11) margins were significantly higher than recurrence rate for animals that had tumors with clean margins (3/29). Margin classification was a significant predictor of RFI. Accuracy of the method to predict recurrence was 94% for carcinomas, 87% for STSs, and 76% for MCTs. CONCLUSIONS AND CLINICAL RELEVANCE: Histologic assessment of margin status was useful for predicting local recurrence of cutaneous malignant tumors in dogs and cats treated by means of excision alone. Method accuracy varied among tumor types and grades. Recurrence times suggested postsurgical follow-up should continue for ≥ 2 years. Results were similar for animals with infiltrated and close tumor margins, and careful postsurgical management is recommended for both.
OBJECTIVE: To assess the usefulness of histologic evaluation of surgical margins to predict local recurrence of cutaneous malignant tumors in dogs and cats treated by means of surgical excision. DESIGN: Prospective case series. ANIMALS: 40 dogs and 20 cats. PROCEDURES: 60 surgically excised tumors (20 soft tissue sarcomas [STSs], 20 mast cell tumors [MCTs], and 20 carcinomas) were examined histologically. Margins were classified as clean, close, or infiltrated; histologic grade was assessed in STSs and MCTs. Recurrence rates and recurrence-free intervals (RFIs) during a 24-month follow-up period were recorded, and method accuracy was calculated. RESULTS: Surgical margins were clean in 29 of 60 (48%) tumors, close in 11 (18%), and infiltrated in 20 (33%). Tumors recurred in 27 of 60 (45%) animals, with a mean ± SD RFI of 229 ± 173 days. Recurrence rates for animals that had tumors with infiltrated (16/20) or close (8/11) margins were significantly higher than recurrence rate for animals that had tumors with clean margins (3/29). Margin classification was a significant predictor of RFI. Accuracy of the method to predict recurrence was 94% for carcinomas, 87% for STSs, and 76% for MCTs. CONCLUSIONS AND CLINICAL RELEVANCE: Histologic assessment of margin status was useful for predicting local recurrence of cutaneous malignant tumors in dogs and cats treated by means of excision alone. Method accuracy varied among tumor types and grades. Recurrence times suggested postsurgical follow-up should continue for ≥ 2 years. Results were similar for animals with infiltrated and close tumor margins, and careful postsurgical management is recommended for both.
Authors: Laura E Selmic; Jonathan Samuelson; Jennifer K Reagan; Kelly J Mesa; Elizabeth Driskell; Joanne Li; Marina Marjanovic; Stephen A Boppart Journal: Vet Comp Oncol Date: 2018-11-13 Impact factor: 2.613
Authors: A Lejeune; K Skorupski; S Frazier; I Vanhaezebrouck; R B Rebhun; C M Reilly; C O Rodriguez Journal: Vet Comp Oncol Date: 2013-05-31 Impact factor: 2.613
Authors: Suzanne Bartholf DeWitt; William C Eward; Cindy A Eward; Alexander L Lazarides; Melodi Javid Whitley; Jorge M Ferrer; Brian E Brigman; David G Kirsch; John Berg Journal: Vet Surg Date: 2016-06-09 Impact factor: 1.495
Authors: Andrigo Barboza de Nardi; Rodrigo Dos Santos Horta; Carlos Eduardo Fonseca-Alves; Felipe Noleto de Paiva; Laís Calazans Menescal Linhares; Bruna Fernanda Firmo; Felipe Augusto Ruiz Sueiro; Krishna Duro de Oliveira; Silvia Vanessa Lourenço; Ricardo De Francisco Strefezzi; Carlos Henrique Maciel Brunner; Marcelo Monte Mor Rangel; Paulo Cesar Jark; Jorge Luiz Costa Castro; Rodrigo Ubukata; Karen Batschinski; Renata Afonso Sobral; Natália Oyafuso da Cruz; Adriana Tomoko Nishiya; Simone Crestoni Fernandes; Simone Carvalho Dos Santos Cunha; Daniel Guimarães Gerardi; Guilherme Sellera Godoy Challoub; Luiz Roberto Biondi; Renee Laufer-Amorim; Paulo Ricardo de Oliveira Paes; Gleidice Eunice Lavalle; Rafael Ricardo Huppes; Fabrizio Grandi; Carmen Helena de Carvalho Vasconcellos; Denner Santos Dos Anjos; Ângela Cristina Malheiros Luzo; Julia Maria Matera; Miluse Vozdova; Maria Lucia Zaidan Dagli Journal: Cells Date: 2022-02-10 Impact factor: 6.600
Authors: Carolina Fabelo; Laura E Selmic; Pin-Cheh Huang; Jonathan P Samuelson; Jennifer K Reagan; Alexandra Kalamaras; Vincent Wavreille; Guillermo L Monroy; Marina Marjanovic; Stephen A Boppart Journal: Vet Comp Oncol Date: 2020-07-26 Impact factor: 2.613
Authors: Pamela D Jones; Justine E Campbell; Graham Brown; Chad M Johannes; Paul Reddell Journal: J Vet Intern Med Date: 2020-12-22 Impact factor: 3.175