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Predicting malignancy in patients with adrenal tumors using 18 F-FDG-PET/CT SUVmax.
Vos, Elvira L; Grewal, Ravinder K; Russo, Ashley E; Reidy-Lagunes, Diane; Untch, Brian R; Gavane, Somali C; Boucai, Laura; Geer, Eliza; Gopalan, Anuradha; Chou, Joanne F; Capanu, Marinela; Strong, Vivian E.
Afiliação
  • Vos EL; Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
  • Grewal RK; Molecular Imaging and Therapy Service, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
  • Russo AE; Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
  • Reidy-Lagunes D; Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
  • Untch BR; Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
  • Gavane SC; Molecular Imaging and Therapy Service, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
  • Boucai L; Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
  • Geer E; Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
  • Gopalan A; Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
  • Chou JF; Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
  • Capanu M; Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
  • Strong VE; Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
J Surg Oncol ; 122(8): 1821-1826, 2020 Dec.
Article em En | MEDLINE | ID: mdl-32914407
ABSTRACT
BACKGROUND AND

OBJECTIVES:

18 F-fluorodeoxyglucose positron emission tomography/computed tomography (18 F-FDG-PET/CT) parameters may help distinguish malignant from benign adrenal tumors, but few have been externally validated or determined based on definitive pathological confirmation. We determined and validated a threshold for 18 F-FDG-PET/CT maximum standard uptake value (SUVmax) in patients who underwent adrenalectomy for a nonfunctional tumor.

METHODS:

Database review identified patients with 18 F-FDG-PET/CT images available (training cohort), or only SUVmax values (validation cohort). Discriminative accuracy was assessed by area under the curve (AUC), and the optimal cutoff value estimated by maximally selected Wilcoxon rank statistics.

RESULTS:

Of identified patients (n = 171), 86 had adrenal metastases, 20 adrenal cortical carcinoma, and 27 adrenal cortical adenoma. In the training cohort (n = 96), SUVmax was significantly higher in malignant versus benign tumors (median 8.3 vs. 3.0, p < .001), with an AUC of 0.857. Tumor size did not differ. The optimal cutoff SUVmax was 4.6 (p < .01). In the validation cohort (n = 75), this cutoff had a sensitivity of 75% and specificity 55%.

CONCLUSIONS:

18 F-FDG-PET/CT SUVmax was associated with malignancy. Validation indicated that SUVmax ≥ 4.6 was suggestive of malignancy, while lower values did not reliably predict benign tumor.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias das Glândulas Suprarrenais / Fluordesoxiglucose F18 / Imagem Multimodal / Tomografia por Emissão de Pósitrons combinada à Tomografia Computadorizada Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Female / Humans / Male / Middle aged Idioma: En Revista: J Surg Oncol Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias das Glândulas Suprarrenais / Fluordesoxiglucose F18 / Imagem Multimodal / Tomografia por Emissão de Pósitrons combinada à Tomografia Computadorizada Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Female / Humans / Male / Middle aged Idioma: En Revista: J Surg Oncol Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos