Combined cross-sectional and tangential margin evaluation of different tumor types in dogs and cats

对犬猫不同类型肿瘤进行横截面和切线边缘联合评估

阅读:1

Abstract

INTRODUCTION: Histological evaluation of tumors involves tumor diagnosis and assessment of surgical margins to determine whether they are free (clean) or infiltrated (dirty) by neoplastic cells. In veterinary medicine, cross-sectioning is most commonly used to trim tumors. It is simple, inexpensive, and allows to measure histologic tumor-free distances (HTFD). However, only a minimal portion of the surgical margins are assessed, potentially missing dirty margins. Tangential sectioning evaluates the entire surgical excision border, minimizing the risk of missing dirty margins, but it is more time-consuming, more expensive and HTFD cannot be measured. No study has yet compared these two trimming techniques on different tumors in cats and dogs. Consequently, the main goal of our study was to compare the two trimming techniques and evaluate their agreement. METHODS: We performed both trimming methods and evaluated these parameters in 20 tumors from 13 dogs and 6 cats, on which curative-intent surgical excision was performed. Kappa statistics were calculated to measure agreement between margin evaluation with the two methods. RESULTS: Cross-sectioning detected dirty margins in 1/20 (5%) tumors. Tangential sectioning identified 11/20 (55%) tumors with dirty surgical margins, including the one detected with the cross-sectioning method (kappa = 0.0826). Ten tumors with dirty margins with the tangential method were not detected as dirty with the cross-sectioning method. Thus, cross sectioning presented a total of 50% false-negative (dirty margins identified as clean margins). The tangential trimming needed a higher number of cassettes and time required for trimming and evaluation. CONCLUSION: Based on these results, despite the higher costs, we recommend using a combination of cross and tangential trimming for tumors in cats and dogs.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。