Vet World   Vol.19   February-2026  Article - 27 

Research Article

Veterinary World, 19(2): 840-849

https://doi.org/10.14202/vetworld.2026.840-849

Computed tomographic evaluation of canine hepatic lymph nodes: Establishment of aorta-normalized dimension ratio cutoff values for differentiating normal from abnormal conditions

Yannawit Hirunyasuwan, Pongpol Chaiyatadsakun, Ussana Hittrawat, Patthana Wanicharat, Chutimon Thanaboonnipat, Somchin Sutthigran, and Nan Choisunirachon

Department of Surgery, Faculty of Veterinary Science, Chulalongkorn University, Bangkok 10330, Thailand.

Background and Aim: Hepatic lymph nodes (HLNs) drain lymph from the liver, gallbladder, pancreas, stomach, and duodenum. Enlargement of these nodes may indicate pathology in those organs, but objective, breed-independent computed tomography (CT)-based size criteria have not been established. This study aimed to determine quantitative cutoff values for HLN dimensions normalized to aortic diameter (Ao) to differentiate normal from abnormal HLNs in dogs. 

Materials and Methods: This retrospective study analyzed contrast-enhanced abdominal CT scans (slice thickness <1.5 mm) from 84 dogs older than 1 year, examined between March 2016 and November 2022. Dogs were divided into two groups: no targeted organ abnormalities (26 dogs; 46 HLNs) or presence of targeted organ abnormalities in the liver, gallbladder, pancreas, stomach, duodenum, or combinations (58 dogs; 89 HLNs), based on clinical, laboratory, and imaging findings. Using multiplanar reconstruction, the maximum length (cranio-caudal), width (latero-lateral), and height (dorso-ventral) of each HLN were measured and divided by the Ao measured at the same level. Parameters were compared between groups using Mann–Whitney U tests. Receiver operating characteristic curves were used to identify optimal cutoff values, sensitivity, specificity, and area under the curve (AUC). 

Results: HLN dimensions and dimension-to-Ao ratios were significantly larger in dogs with targeted organ abnormalities (all p < 0.001). Mean width-to-Ao ratio, length-to-Ao ratio, and height-to-Ao ratio were 0.7 ± 0.3, 1.4 ± 0.7, and 0.6 ± 0.3 in the normal group versus 1.2 ± 1.2, 2.0 ± 0.8, and 0.8 ± 0.4 in the abnormal group, respectively. The width-to-Ao ratio showed the highest diagnostic performance (AUC = 0.76, 95% confidence interval: 0.69–0.85; p < 0.0001), with an optimal cutoff of ≥ 0.75 (sensitivity 70%, specificity 67%). Height-to-Ao ratio cutoff was ≥ 0.615 (AUC = 0.70), and length-to-Ao ratio cutoff was ≥ 1.58 (AUC = 0.70). 

Conclusion: Ao-normalized HLN dimension ratios provide an objective, breed- and body-size-independent criterion for CT evaluation of canine hepatic lymph nodes. A width-to-Ao ratio ≥ 0.75 offers the best balance of sensitivity and specificity for identifying HLN abnormalities suggestive of targeted organ pathology. These cutoff values support non-invasive CT-based assessment but should be interpreted with clinical and laboratory findings; histopathology remains essential for definitive diagnosis. 

Keywords: abdominal pathology, aorta ratio, canine, computed tomography, cutoff value, hepatic lymph node, lymphadenopathy.

How to cite this article: Hirunyasuwan Y, Chaiyatadsakun P, Hittrawat U, Wanicharat P, Thanaboonnipat C, Sutthigran S, Choisunirachon N. Computed tomographic evaluation of canine hepatic lymph nodes: Establishment of aorta-normalized dimension ratio cutoff values for differentiating normal from abnormal conditions. Vet. World, 2026;19(2):840-849.

Received: 06-07-2025   Accepted: 13-10-2025   Published online: 28-02-2026

Corresponding author: Nan Choisunirachon    E-mail: nan.c@chula.ac.th

DOI: 10.14202/vetworld.2026.840-849

Copyright: Hirunyasuwan, et al. This article is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http:// creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.