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Utility of Intermediate-Delay Washout CT Images for Differentiation of Malignant and Benign Adrenal Lesions: A Multivariate Analysis.
Ng, Chaan S; Altinmakas, Emre; Wei, Wei; Ghosh, Payel; Li, Xiao; Grubbs, Elizabeth G; Perrier, Nancy D; Lee, Jeffrey E; Prieto, Victor G; Hobbs, Brian P.
Afiliação
  • Ng CS; 1 Department of Radiology, University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Unit 1473, Houston, TX 77030.
  • Altinmakas E; 2 Department of Radiology, Koç University Hospital, Istanbul, Turkey.
  • Wei W; 3 Department of Biostatistics, University of Texas MD Anderson Cancer Center, Houston, TX.
  • Ghosh P; 1 Department of Radiology, University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Unit 1473, Houston, TX 77030.
  • Li X; 3 Department of Biostatistics, University of Texas MD Anderson Cancer Center, Houston, TX.
  • Grubbs EG; 4 Department of Surgical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX.
  • Perrier ND; 4 Department of Surgical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX.
  • Lee JE; 4 Department of Surgical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX.
  • Prieto VG; 5 Department of Anatomical Pathology, University of Texas MD Anderson Cancer Center, Houston, TX.
  • Hobbs BP; 3 Department of Biostatistics, University of Texas MD Anderson Cancer Center, Houston, TX.
AJR Am J Roentgenol ; 211(2): W109-W115, 2018 08.
Article em En | MEDLINE | ID: mdl-29949418
ABSTRACT

OBJECTIVE:

The objective of this study was to identify features that impact the diagnostic performance of intermediate-delay washout CT for distinguishing malignant from benign adrenal lesions. MATERIALS AND

METHODS:

This retrospective study evaluated 127 pathologically proven adrenal lesions (82 malignant, 45 benign) in 126 patients who had undergone portal venous phase and intermediate-delay washout CT (1-3 minutes after portal venous phase) with or without unenhanced images. Unenhanced images were available for 103 lesions. Quantitatively, lesion CT attenuation on unenhanced (UA) and delayed (DL) images, absolute and relative percentage of enhancement washout (APEW and RPEW, respectively), descriptive CT features (lesion size, margin characteristics, heterogeneity or homogeneity, fat, calcification), patient demographics, and medical history were evaluated for association with lesion status using multiple logistic regression with stepwise model selection. Area under the ROC curve (Az) was calculated from both univariate and multivariate analyses. The predictive diagnostic performance of multivariate evaluations was ascertained through cross-validation.

RESULTS:

Az for DL, APEW, RPEW, and UA was 0.751, 0.795, 0.829, and 0.839, respectively. Multivariate analyses yielded the following significant CT quantitative features and associated Az when combined RPEW and DL (Az = 0.861) when unenhanced images were not available and APEW and UA (Az = 0.889) when unenhanced images were available. Patient demographics and presence of a prior malignancy were additional significant factors, increasing Az to 0.903 and 0.927, respectively. The combined predictive classifier, without and with UA available, yielded 85.7% and 87.3% accuracies with cross-validation, respectively.

CONCLUSION:

When appropriately combined with other CT features, washout derived from intermediate-delay CT with or without additional clinical data has potential utility in differentiating malignant from benign adrenal lesions.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Tomografia Computadorizada por Raios X / Neoplasias das Glândulas Suprarrenais Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies Limite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Tomografia Computadorizada por Raios X / Neoplasias das Glândulas Suprarrenais Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies Limite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2018 Tipo de documento: Article