ArticleJournal of the American Veterinary Medical Association2021
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.
Article in Journal of the American Veterinary Medical Association, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 17 citations in OpenAlex.
- Relative importance analysis of correlated predictors in aquatic veterinary science: Application to an abalone dataset.Open veterinary journal · 2026Article
- Identification of a solitary splenic mass during surgery for gastric dilatation-volvulus is associated with diagnosis of splenic neoplasia in dogs.Frontiers in veterinary science · 2026Article
- MicroRNAs in serum and tissue can differentiate splenic hemangiosarcoma from other splenic masses in dogs.Veterinary pathology · 2025Article
- Pathological Characterization and Risk Factors of Splenic Nodular Lesions in Dogs (Animals : an open access journal from MDPI · 2024Article
- Article
- From a decentralized clinical trial to a decentralized and clinical-trial-in-a-box platform: Towards patient-centric and equitable trials.Journal of clinical and translational science · 2023Article
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Authors and funding
10 authors at 2 institutions in 1 country.
Funding
Abstract
objectiveTo develop a multivariable model and online decision-support calculator to aid in preoperative discrimination of benign from malignant splenic masses in dogs. ANIMALS: 522 dogs that underwent splenectomy because of splenic masses. PROCEDURES: 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.
resultsThe 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. CONCLUSIONS AND CLINICAL RELEVANCE: 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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