J Am Vet Med Assoc. 2021 Jun 15;258(12):1362-1371. doi: 10.2460/javma.258.12.1362.
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.
建立一个多变量模型和在线决策支持计算器,以帮助术前区分犬脾脏肿块的良恶性。
522 只因脾脏肿块而行脾切除术的狗。
从 422 只接受脾切除术的狗的记录中回顾性获得术前临床数据,建立多变量模型。纳入标准为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的可用性,以便进行回顾。分析了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接收者操作特征曲线,并计算了曲线下面积。该模型通过对随后进行模型开发的 100 只狗的数据进行外部验证,并用于创建一个在线计算器,以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 个临床变量,用于估计脾脏恶性肿瘤的概率:血清总蛋白浓度、存在(与不存在相比)≥2 个核红细胞/100 个白细胞、超声评估的脾脏肿块直径、肝脏结节数(0、1 或≥2)、存在(与不存在相比)多个脾脏肿块或结节、中度至明显的脾脏肿块不均匀性、中度至明显的腹腔积液以及肠系膜、网膜或腹膜结节。发展和验证人群的接收者操作特征曲线下面积分别为 0.80 和 0.78。
本研究开发的在线计算器(T-STAT.net 或 T-STAT.org)可用于辅助估计患有脾脏肿块的狗发生恶性肿瘤的概率,并有可能促进主人对脾切除术的决策。