CT based intratumor and peritumoral radiomics for differentiating complete from incomplete capsular characteristics of parotid pleomorphic adenoma: a two-center study.
Machine learning
Pleomorphic adenoma
Precise treatment
Radiomics
Journal
Discover. Oncology
ISSN: 2730-6011
Titre abrégé: Discov Oncol
Pays: United States
ID NLM: 101775142
Informations de publication
Date de publication:
22 May 2023
22 May 2023
Historique:
received:
13
02
2023
accepted:
20
04
2023
medline:
23
5
2023
pubmed:
23
5
2023
entrez:
22
5
2023
Statut:
epublish
Résumé
Capsular characteristics of pleomorphic adenoma (PA) has various forms. Patients without complete capsule has a higher risk of recurrence than patients with complete capsule. We aimed to develop and validate CT-based intratumoral and peritumoral radiomics models to make a differential diagnosis between parotid PA with and without complete capsule. Data of 260 patients (166 patients with PA from institution 1 (training set) and 94 patients (test set) from institution 2) were retrospectively analyzed. Three Volume of interest (VOIs) were defined in the CT images of each patient: tumor volume of interest (VOI The results showed that the radiomics models based on features from VOI We demonstrated the feasibility of combining artificial intelligence with CT-based peritumoral radiomics features can be used to accurately predict capsular characteristics of parotid PA. This may assist in clinical decision-making by preoperative identification of capsular characteristics of parotid PA.
Identifiants
pubmed: 37217656
doi: 10.1007/s12672-023-00665-8
pii: 10.1007/s12672-023-00665-8
pmc: PMC10203084
doi:
Types de publication
Journal Article
Langues
eng
Pagination
76Informations de copyright
© 2023. The Author(s).
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