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Diagnostic accuracy of multidetector computed tomography scan in mediastinal masses assuming histopathological findings as gold standard.
Pandey, Somshankar; Jaipal, Usha; Mannan, Nima; Yadav, Rajkumar.
  • Pandey S; SMS Medical College and Hospital, Jaipur, Rajasthan, India.
  • Jaipal U; SMS Medical College and Hospital, Jaipur, Rajasthan, India.
  • Mannan N; SMS Medical College and Hospital, Jaipur, Rajasthan, India.
  • Yadav R; SMS Medical College and Hospital, Jaipur, Rajasthan, India.
Pol J Radiol ; 83: e234-e242, 2018.
Article en En | MEDLINE | ID: mdl-30627241
ABSTRACT

PURPOSE:

Aim of the study was to 1) present MDCT characteristics of different mediastinal mass lesions, 2) estimate proportion of benign and malignant mediastinal mass lesions based on MDCT findings, and 3) find out the diagnostic accuracy with sensitivity, specificity, positive predictive value, and negative predictive value of MDCT in mediastinal mass lesions assuming histopathology as gold standard. MATERIAL AND

METHODS:

This study was an analysis of 60 patients who underwent MDCT scan for characterisation of mediastinal mass lesion, and subsequently imaging findings were verified with pathological diagnosis.

RESULTS:

Out of 60 patients 65% were malignant and 35% were benign. Metastatic carcinoma was the leading diagnosis. Sensitivity of MDCT in this study came out to be 94%, specificity is 90%, with a positive predictive value of 94% and negative predictive value of 90% with diagnostic accuracy of 93%.

CONCLUSIONS:

Mediastinal mass lesion can be accurately diagnosed with MDCT which is a non-invasive and easily available modality requiring clinical data for accurate diagnosis and management. Co-relation of MDCT findings with other imaging findings is complex and requires adequate clinical data for optimum diagnostic confidence.
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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Año: 2018 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Año: 2018 Tipo del documento: Article