Multidetector computed tomography assessment of venous invasion in hepatic alveolar echinococcosis.


Journal

Abdominal radiology (New York)
ISSN: 2366-0058
Titre abrégé: Abdom Radiol (NY)
Pays: United States
ID NLM: 101674571

Informations de publication

Date de publication:
01 2023
Historique:
received: 30 05 2022
accepted: 27 07 2022
revised: 26 07 2022
pubmed: 8 10 2022
medline: 21 1 2023
entrez: 7 10 2022
Statut: ppublish

Résumé

The objective of this study was to correlate multidetector computed tomography (MDCT) findings in hepatic alveolar echinococcosis (HAE) with intraoperative and postoperative histopathological results to identify reliable MDCT criteria for the diagnosis of HAE venous invasion. A total of 136 HAE patients who underwent CT examination were included in this study. The lesion-vessel contact angle, irregular wall, lumen stenosis and occlusion were evaluated. A total of 614 veins were estimated. In total, 510 veins were invaded, and 104 veins were not. The invasion rate was 83.06%. In single CT findings, with a cutoff value of > 180° determined by receiver operating characteristic (ROC) curve analysis, the lesion-vessel contact angle performed the best (area under the ROC curve, AUC = 0.907, 95% confidence interval, 95% CI 0.872-0.941, p < 0.001), with a sensitivity, specificity and positive likelihood ratio (PLR) of 84.90%, 88.46%, and 7.35, respectively. Irregular wall and lumen stenosis showed the lowest diagnostic performance. Diagnostic performance was the highest when combining these criteria and signs (AUC = 0.932, 95% CI 0.905-0.960, p < 0.001). The lesion-vessel contact angle > 180° had the best sensitivity and specificity in the diagnosis of HAE venous invasion, and good interobserver agreement had been noted. The diagnostic performance of the lesion-vessel contact angle > 180° had been further improved with the addition of lumen occlusion accompanied by irregular wall or lumen stenosis.

Identifiants

pubmed: 36207628
doi: 10.1007/s00261-022-03640-z
pii: 10.1007/s00261-022-03640-z
pmc: PMC9849186
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

297-305

Informations de copyright

© 2022. The Author(s).

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Auteurs

Tieliang Zhang (T)

Imaging Center, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830011, Xinjiang, China.

Yuan Zhang (Y)

Imaging Center, The Fourth Affiliated Hospital of Xinjiang Medical University, Urumqi, 830011, Xinjiang, China.

Jian Wang (J)

Imaging Center, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830011, Xinjiang, China.

Juan Hou (J)

Imaging Center, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830011, Xinjiang, China.

Wenya Liu (W)

Imaging Center, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830011, Xinjiang, China. 13999202977@163.com.

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