CT features of primary bone neoplasia of the thoracic wall in dogs

医学 胸腔 胸骨 鉴别诊断 放射科 胸壁 胸腔积液 胸腔 病理 解剖
作者
Alessia Cordella,Emmelie Stock,Giovanna Bertolini,Carina Strohmayer,Giulia Dalla Serra,Jimmy Saunders
出处
期刊:Veterinary Radiology & Ultrasound [Wiley]
卷期号:64 (4): 605-614 被引量:4
标识
DOI:10.1111/vru.13236
摘要

Abstract Primary thoracic wall neoplasia is uncommon in dogs and the prognosis depends on tumor type. The aims of this retrospective, multi‐center, observational study were to describe CT features of primary thoracic wall neoplasia in dogs and to test the hypothesis that CT features would differ among tumor types. Dogs with a diagnosis of primary thoracic wall bone neoplasia and thoracic CT study were included. CT findings recorded were as follows: dimensions, location, invasiveness, grade and type of mineral attenuation, periosteal reaction, contrast enhancement, and presence of presumed pulmonary metastases, pleural effusion, and sternal lymphadenopathy. Fifty‐eight cases were included (54 ribs and four sternum). Fifty‐six were malignant (sarcomas ‐ SARC) and two were benign (chondromas ‐ CHO). Out of the 56 malignant tumors, 41 had histological confirmation of the tumor type: 23 (56%) osteosarcomas (OSA), 10 (24%) chondrosarcomas (CSA), and eight (20%) hemangiosarcomas (HSA). The majority of rib tumors were right‐sided (59%) and ventrally located (72%). Malignant masses showed severe invasiveness, mild/moderate contrast enhancement, and different grades of mineral attenuation. Sternal lymphadenopathy was significantly more frequent in dogs with OSA and HSA compared to dogs with CSA ( p = 0.004 and p = 0.023). Dogs with HSA showed significantly lower mineral attenuation grades compared to dogs with OSA ( p = 0.043). Primary thoracic wall bone neoplasias were more frequently arising from the ribs, with only a few cases of sternal masses. Findings can be used to help prioritize differential diagnoses for CT studies of dogs with thoracic wall neoplasia.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
平常致远发布了新的文献求助10
1秒前
吕豪发布了新的文献求助10
1秒前
1秒前
叶子完成签到 ,获得积分20
1秒前
tomatoli完成签到,获得积分10
1秒前
鱼刺鱼刺卡完成签到,获得积分10
2秒前
万恶的吐司圈完成签到 ,获得积分10
2秒前
3秒前
小圆完成签到,获得积分10
3秒前
文章大发完成签到,获得积分10
3秒前
传奇3应助lcsw采纳,获得10
4秒前
Lucas应助追寻又柔采纳,获得10
4秒前
qqqyoyoyo发布了新的文献求助10
5秒前
waiting完成签到,获得积分10
5秒前
领导范儿应助Y橙子采纳,获得10
5秒前
深情安青应助吕豪采纳,获得10
5秒前
5秒前
踏雾完成签到,获得积分10
6秒前
诉砚应助登风采纳,获得10
6秒前
冷酷迎松发布了新的文献求助10
7秒前
爆米花应助忐忑的远山采纳,获得30
7秒前
田様应助meng采纳,获得10
7秒前
初景应助YIDAN采纳,获得20
7秒前
欢喜的可仁完成签到,获得积分10
7秒前
7秒前
一凉秋色完成签到,获得积分10
8秒前
迷路的墨镜应助张小小采纳,获得10
8秒前
Zhuky应助伶俐的道之采纳,获得10
8秒前
小屁孩完成签到,获得积分0
8秒前
yq1991完成签到,获得积分10
9秒前
轻松的火龙果完成签到,获得积分10
9秒前
高兴易真发布了新的文献求助10
9秒前
小白发布了新的文献求助30
10秒前
韩小花发布了新的文献求助10
10秒前
12秒前
Parsee应助晚塬采纳,获得10
12秒前
xxd发布了新的文献求助30
13秒前
虚心蜻蜓完成签到,获得积分10
13秒前
一碗淘米水完成签到,获得积分10
13秒前
anz完成签到,获得积分10
14秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Resistance Spot Welding Dataset for Automobile Body-in-White Quality Analysis 748
日本現代怪異事典 副読本 700
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 650
Machine Learning for Asset Management and Pricing 600
Numerical analysis of the coupled atmosphere-ocean models (CAO II). II 600
Models for the coupled atmosphere and ocean 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7387502
求助须知:如何正确求助?哪些是违规求助? 8994134
关于积分的说明 19136608
捐赠科研通 7024243
什么是DOI,文献DOI怎么找? 3228070
关于科研通互助平台的介绍 2390711
邀请新用户注册赠送积分活动 2209209