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Use of contrast‐enhanced computed tomography to detect kidney infarction in dogs
BACKGROUND: Kidney infarction is a renovascular disease diagnosed by contrast‐enhanced computed tomography (CECT) in humans. OBJECTIVES: To describe the frequency of kidney infarction and to determine the detection of kidney infarction with CECT in dogs. ANIMALS: Eight hundred and twenty‐six abdomin...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8783343/ https://www.ncbi.nlm.nih.gov/pubmed/34953007 http://dx.doi.org/10.1111/jvim.16343 |
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author | Sutthigran, Somchin Saisawart, Phasamon Klaengkaew, Auraiwan Horoongruang, Kongthit Chaivoravitsakul, Nardtiwa Komin, Kiatpichet Thanaboonnipat, Chutimon Choisunirachon, Nan |
author_facet | Sutthigran, Somchin Saisawart, Phasamon Klaengkaew, Auraiwan Horoongruang, Kongthit Chaivoravitsakul, Nardtiwa Komin, Kiatpichet Thanaboonnipat, Chutimon Choisunirachon, Nan |
author_sort | Sutthigran, Somchin |
collection | PubMed |
description | BACKGROUND: Kidney infarction is a renovascular disease diagnosed by contrast‐enhanced computed tomography (CECT) in humans. OBJECTIVES: To describe the frequency of kidney infarction and to determine the detection of kidney infarction with CECT in dogs. ANIMALS: Eight hundred and twenty‐six abdominal CECT studies of 826 dogs. METHODS: A cross‐sectional retrospective study. Dogs with abdominal CT scans including CECT were retrospectively retrieved. Kidney infarction was classified into 3 grades based on the extent of infarction relative to total kidney area. The location and number of kidney infarctions in each kidney were expressed as number and percentage. The ability of visualization of kidney infarction in each multiplanar reconstruction (MPR) image plane was evaluated by agreement of 2 observers. RESULTS: The frequency of kidney infarction in dogs was 3.15% (26/826 dogs; 95% CI = 2.05‐4.61). Most kidney infarctions were classified as grade 1, or the lesions were less than 25% of the kidney (47/56, 83.93%) and most were detected at the caudal pole of the kidney (31/56, 55.35%) on the sagittal plane. On MPR image planes, the sagittal plane had the highest proportion (34/56, 60.71%) of excellent visual category to detect kidney infarction. CONCLUSIONS AND CLINICAL IMPORTANCE: The CECT, especially the sagittal plane, is a useful diagnostic tool for the detection of kidney infarction in dogs. |
format | Online Article Text |
id | pubmed-8783343 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley & Sons, Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-87833432022-02-01 Use of contrast‐enhanced computed tomography to detect kidney infarction in dogs Sutthigran, Somchin Saisawart, Phasamon Klaengkaew, Auraiwan Horoongruang, Kongthit Chaivoravitsakul, Nardtiwa Komin, Kiatpichet Thanaboonnipat, Chutimon Choisunirachon, Nan J Vet Intern Med SMALL ANIMAL BACKGROUND: Kidney infarction is a renovascular disease diagnosed by contrast‐enhanced computed tomography (CECT) in humans. OBJECTIVES: To describe the frequency of kidney infarction and to determine the detection of kidney infarction with CECT in dogs. ANIMALS: Eight hundred and twenty‐six abdominal CECT studies of 826 dogs. METHODS: A cross‐sectional retrospective study. Dogs with abdominal CT scans including CECT were retrospectively retrieved. Kidney infarction was classified into 3 grades based on the extent of infarction relative to total kidney area. The location and number of kidney infarctions in each kidney were expressed as number and percentage. The ability of visualization of kidney infarction in each multiplanar reconstruction (MPR) image plane was evaluated by agreement of 2 observers. RESULTS: The frequency of kidney infarction in dogs was 3.15% (26/826 dogs; 95% CI = 2.05‐4.61). Most kidney infarctions were classified as grade 1, or the lesions were less than 25% of the kidney (47/56, 83.93%) and most were detected at the caudal pole of the kidney (31/56, 55.35%) on the sagittal plane. On MPR image planes, the sagittal plane had the highest proportion (34/56, 60.71%) of excellent visual category to detect kidney infarction. CONCLUSIONS AND CLINICAL IMPORTANCE: The CECT, especially the sagittal plane, is a useful diagnostic tool for the detection of kidney infarction in dogs. John Wiley & Sons, Inc. 2021-12-24 2022 /pmc/articles/PMC8783343/ /pubmed/34953007 http://dx.doi.org/10.1111/jvim.16343 Text en © 2021 The Authors. Journal of Veterinary Internal Medicine published by Wiley Periodicals LLC on behalf of American College of Veterinary Internal Medicine. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | SMALL ANIMAL Sutthigran, Somchin Saisawart, Phasamon Klaengkaew, Auraiwan Horoongruang, Kongthit Chaivoravitsakul, Nardtiwa Komin, Kiatpichet Thanaboonnipat, Chutimon Choisunirachon, Nan Use of contrast‐enhanced computed tomography to detect kidney infarction in dogs |
title | Use of contrast‐enhanced computed tomography to detect kidney infarction in dogs |
title_full | Use of contrast‐enhanced computed tomography to detect kidney infarction in dogs |
title_fullStr | Use of contrast‐enhanced computed tomography to detect kidney infarction in dogs |
title_full_unstemmed | Use of contrast‐enhanced computed tomography to detect kidney infarction in dogs |
title_short | Use of contrast‐enhanced computed tomography to detect kidney infarction in dogs |
title_sort | use of contrast‐enhanced computed tomography to detect kidney infarction in dogs |
topic | SMALL ANIMAL |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8783343/ https://www.ncbi.nlm.nih.gov/pubmed/34953007 http://dx.doi.org/10.1111/jvim.16343 |
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