Development and validation of a multivariable model and online decision-support calculator to aid in preoperative discrimination of benign from malignant splenic masses in dogs.

Development and validation of a multivariable model and online decision-support calculator to aid in preoperative discrimination of benign from malignant splenic masses in dogs.
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DOI:
10.2460/javma.258.12.1362
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发表时间:
2021-06-15
期刊:
Journal of the American Veterinary Medical Association
影响因子:
--
通讯作者:
Berg J
Berg J
中科院分区:
其他
文献类型:
--
作者:
Burgess KE;Price LL;King R;Kwong M;Grant E;Olson KA;Lyons JA;Robinson NA;Wendelburg KM;Berg J

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开发多变量模型和在线决策支持计算器,以帮助术前区分犬的良性和恶性脾肿块。 522 只狗因脾肿块接受了脾切除术。根据从 422 只接受脾切除术的狗的记录中回顾性获得的术前临床数据,开发了一个多变量模型。纳入标准是提供完整的腹部超声检查图像和脾脏组织学切片或组织学报告以供审查。分析了被认为可能预测脾脏恶性肿瘤的变量。为最终的多变量模型创建了受试者工作特征曲线,并计算了曲线下面积。该模型使用 100 只狗的数据进行了外部验证,这些狗在模型开发后接受了脾切除术,并用于创建在线计算器来估计个体狗脾脏恶性肿瘤的概率。最终的多变量模型包含 8 个用于估计脾恶性肿瘤概率的临床变量:血清总蛋白浓度、存在(与不存在)≥ 2 nRBC/100 WBC、超声评估的脾肿块直径、肝结节数量(0、1 或 ≥ 2)、存在(与不存在)多个脾肿块或结节、中度至显着的脾肿块不均匀性、中度至显着的腹部积液以及肠系膜、大网膜或腹膜结节。开发群体和验证群体的受试者工作特征曲线下面积分别为 0.80 和 0.78。本研究中开发的在线计算器(T-STAT.net 或 T-STAT.org)可用于辅助估计患有脾肿块的狗发生恶性肿瘤的可能性,并有可能帮助主人做出有关脾切除的决定。
To develop a multivariable model and online decision-support calculator to aid in preoperative discrimination of benign from malignant splenic masses in dogs. 522 dogs that underwent splenectomy because of splenic masses. A multivariable model was developed with preoperative clinical data obtained retrospectively from the records of 422 dogs that underwent splenectomy. Inclusion criteria were the availability of complete abdominal ultrasonographic examination images and splenic histologic slides or histology reports for review. Variables considered potentially predictive of splenic malignancy were analyzed. A receiver operating characteristic curve was created for the final multivariable model, and area under the curve was calculated. The model was externally validated with data from 100 dogs that underwent splenectomy subsequent to model development and was used to create an online calculator to estimate probability of splenic malignancy in individual dogs. The final multivariable model contained 8 clinical variables used to estimate splenic malignancy probability: serum total protein concentration, presence (vs absence) of ≥ 2 nRBCs/100 WBCs, ultrasonographically assessed splenic mass diameter, number of liver nodules (0, 1, or ≥ 2), presence (vs absence) of multiple splenic masses or nodules, moderate to marked splenic mass inhomogeneity, moderate to marked abdominal effusion, and mesenteric, omental, or peritoneal nodules. Areas under the receiver operating characteristic curves for the development and validation populations were 0.80 and 0.78, respectively. The online calculator (T-STAT.net or T-STAT.org) developed in this study can be used as an aid to estimate the probability of malignancy in dogs with splenic masses and has potential to facilitate owners’ decisions regarding splenectomy.
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