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Radiomics Features in Predicting Human Papillomavirus Status in Oropharyngeal Squamous Cell Carcinoma: A Systematic Review, Quality Appraisal, and Meta-Analysis.
Ansari, Golnoosh; Mirza-Aghazadeh-Attari, Mohammad; Mosier, Kristine M; Fakhry, Carole; Yousem, David M.
Afiliação
  • Ansari G; Department of Radiology, Northwestern Hospital, Northwestern School of Medicine, Chicago, IL 60611, USA.
  • Mirza-Aghazadeh-Attari M; Division of Interventional Radiology, Department of Radiology and Radiological Sciences, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA.
  • Mosier KM; Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN 46202, USA.
  • Fakhry C; Department of Otolaryngology, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA.
  • Yousem DM; Division of Neuroradiology, Department of Radiology and Radiological Sciences, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA.
Diagnostics (Basel) ; 14(7)2024 Mar 29.
Article em En | MEDLINE | ID: mdl-38611650
ABSTRACT
We sought to determine the diagnostic accuracy of radiomics features in predicting HPV status in oropharyngeal squamous cell carcinoma (SCC) compared to routine paraclinical measures used in clinical practice. Twenty-six articles were included in the systematic review, and thirteen were used for the meta-analysis. The overall sensitivity of the included studies was 0.78, the overall specificity was 0.76, and the overall area under the ROC curve was 0.84. The diagnostic odds ratio (DOR) equaled 12 (8, 17). Subgroup analysis showed no significant difference between radiomics features extracted from CT or MR images. Overall, the studies were of low quality in regard to radiomics quality score, although most had a low risk of bias based on the QUADAS-2 tool. Radiomics features showed good overall sensitivity and specificity in determining HPV status in OPSCC, though the low quality of the included studies poses problems for generalizability.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Diagnostics (Basel) Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Suíça

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Diagnostics (Basel) Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Suíça