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CT in the Differentiation of Gliomas from Brain Metastases: The Radiomics Analysis of the Peritumoral Zone.
Marginean, Lucian; Ștefan, Paul Andrei; Lebovici, Andrei; Opincariu, Iulian; Csutak, Csaba; Lupean, Roxana Adelina; Coroian, Paul Alexandru; Suciu, Bogdan Andrei.
Afiliação
  • Marginean L; Radiology and Medical Imaging, Clinical Sciences Department, "George Emil Palade" University of Medicine, Pharmacy, Science, and Technology, 540139 Targu Mures, Romania.
  • Ștefan PA; Interventional Radiology Department, Târgu Mureș County Emergency Clinical Hospital, 540136 Targu Mures, Romania.
  • Lebovici A; Interventional Radiology Department, Târgu Mureș County Emergency Clinical Hospital, 540136 Targu Mures, Romania.
  • Opincariu I; Department of Biomedical Imaging and Image-Guided Therapy, General Hospital of Vienna (AKH), Medical University of Vienna, 1090 Vienna, Austria.
  • Csutak C; Anatomy and Embriology, Morphological Sciences Department, "Iuliu Hațieganu" University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania.
  • Lupean RA; Radiology and Imaging Department, Cluj County Emergency Clinical Hospital, 400006 Cluj-Napoca, Romania.
  • Coroian PA; Radiology and Imaging Department, Cluj County Emergency Clinical Hospital, 400006 Cluj-Napoca, Romania.
  • Suciu BA; Radiology, Surgical Specialties Department, "Iuliu Hațieganu" University of Medicine and Pharmacy, 400006 Cluj-Napoca, Romania.
Brain Sci ; 12(1)2022 Jan 14.
Article em En | MEDLINE | ID: mdl-35053852
ABSTRACT
Due to their similar imaging features, high-grade gliomas (HGGs) and solitary brain metastases (BMs) can be easily misclassified. The peritumoral zone (PZ) of HGGs develops neoplastic cell infiltration, while in BMs the PZ contains pure vasogenic edema. As the two PZs cannot be differentiated macroscopically, this study investigated whether computed tomography (CT)-based texture analysis (TA) of the PZ can reflect the histological difference between the two entities. Thirty-six patients with solitary brain tumors (HGGs, n = 17; BMs, n = 19) that underwent CT examinations were retrospectively included in this pilot study. TA of the PZ was analyzed using dedicated software (MaZda version 5). Univariate, multivariate, and receiver operating characteristics analyses were used to identify the best-suited parameters for distinguishing between the two groups. Seven texture parameters were able to differentiate between HGGs and BMs with variable sensitivity (56.67-96.67%) and specificity (69.23-100%) rates. Their combined ability successfully identified HGGs with 77.9-99.2% sensitivity and 75.3-100% specificity. In conclusion, the CT-based TA can be a useful tool for differentiating between primary and secondary malignancies. The TA features indicate a more heterogenous content of the HGGs' PZ, possibly due to the local infiltration of neoplastic cells.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Brain Sci Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Romênia

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Brain Sci Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Romênia