Retrospective application of a validated algorithm for estimation of adrenal gland volume after computed tomography on 46 dogs undergoing adrenalectomy

R Swepson; G Hosgood; N Stander; M Thompson

doi:10.1111/avj.13335

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Retrospective application of a validated algorithm for estimation of adrenal gland volume after computed tomography on 46 dogs undergoing adrenalectomy

Journal article

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Peer reviewed

Retrospective application of a validated algorithm for estimation of adrenal gland volume after computed tomography on 46 dogs undergoing adrenalectomy

R Swepson, G Hosgood, N Stander and M Thompson

Australian veterinary journal, Vol.102(8), pp.392-397

2024

DOI: https://doi.org/10.1111/avj.13335

PMID: 38663938

Appears in Open Access via Read & Publish Agreements

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Abstract

adrenalectomy

computed tomography

volume

adrenal gland

malignancy

Canine adrenal gland volume can be predicted based on body weight and computed tomography (CT) measurements using a validated algorithm. Use of this algorithm to detect adrenal pathology, including hyperplasia, hypoplasia and neoplasia, in clinical cases has not been described. The objective of this study was to illustrate application of the algorithm by estimating subject-specific adrenal gland volume in a historical cohort of dogs with known adrenal disease. Forty-six dogs that underwent CT and subsequent adrenalectomy were included. Clinical records and CT images from dogs that underwent adrenalectomy and histologic examination of the excised adrenal gland(s) were reviewed. Normal adrenal gland volumes for each dog were estimated using the algorithm, and compared with measured volumes of the affected glands. Linear measurement of the largest lesion diameter was also recorded. Fifty-eight adrenal glands were removed from 46 dogs, with pathology confirmed in all glands. Pathology included 28 adenomas, 13 carcinomas, 11 pheochromocytomas and 6 other benign pathologies. The volume of all removed adrenal glands was measured to be larger than the expected normal volume estimated by the algorithm, ranging from 1.1 to 212.9 times larger than estimated. Adrenal glands with malignant and benign pathology showed variable volumes with overlapping ranges recorded. Assessment of the dimensions of any focal lesion against a cut-off of 20 mm failed to discriminate malignancy. This study illustrates and supports the application of a validated volumetric algorithm for estimation of subject-specific adrenal gland volume to identify the presence of pathology and as a tool to assist clinical decision-making.

Details

Title: Retrospective application of a validated algorithm for estimation of adrenal gland volume after computed tomography on 46 dogs undergoing adrenalectomy
Authors/Creators: R Swepson - Murdoch University
G Hosgood - Murdoch University, School of Veterinary Medicine
N Stander - Murdoch University
M Thompson - The University of Sydney
Publication Details: Australian veterinary journal, Vol.102(8), pp.392-397
Publisher: John Wiley & Sons Australia, Ltd on behalf of Australian Veterinary Association.
Identifiers: 991005660469807891
Murdoch Affiliation: The Animal Hospital At Murdoch University
Language: English
Resource Type: Journal article

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Collaboration types: Domestic collaboration
Citation topics: 3 Agriculture, Environment & Ecology; 3.232 Veterinary Sciences; 3.232.1281 Veterinary Reproductive Health
Web Of Science research areas: Veterinary Sciences
ESI research areas: Plant & Animal Science