Your browser doesn't support javascript.
loading
Utility of PET/CT to Evaluate Retroperitoneal Lymph Node Metastasis in High-Risk Endometrial Cancer: Results of ACRIN 6671/GOG 0233 Trial.
Atri, Mostafa; Zhang, Zheng; Dehdashti, Farrokh; Lee, Susanna I; Marques, Helga; Ali, Shamshad; Koh, Wui-Jin; Mannel, Robert S; DiSilvestro, Paul; King, Stephanie A; Pearl, Michael; Zhou, XunClare; Plante, Marie; Moxley, Katherine M; Gold, Michael.
Afiliación
  • Atri M; From the Department of Medical Imaging, NCSB 1C569 Toronto General Hospital, University of Toronto, University Health Network, 585 University Ave, Toronto, ON, Canada M5G 2N2 (M.A.); Center for Statistical Sciences, Brown University, Providence, RI (F.D., H.M.); Mallinckrodt Institute of Radiology,
  • Zhang Z; From the Department of Medical Imaging, NCSB 1C569 Toronto General Hospital, University of Toronto, University Health Network, 585 University Ave, Toronto, ON, Canada M5G 2N2 (M.A.); Center for Statistical Sciences, Brown University, Providence, RI (F.D., H.M.); Mallinckrodt Institute of Radiology,
  • Dehdashti F; From the Department of Medical Imaging, NCSB 1C569 Toronto General Hospital, University of Toronto, University Health Network, 585 University Ave, Toronto, ON, Canada M5G 2N2 (M.A.); Center for Statistical Sciences, Brown University, Providence, RI (F.D., H.M.); Mallinckrodt Institute of Radiology,
  • Lee SI; From the Department of Medical Imaging, NCSB 1C569 Toronto General Hospital, University of Toronto, University Health Network, 585 University Ave, Toronto, ON, Canada M5G 2N2 (M.A.); Center for Statistical Sciences, Brown University, Providence, RI (F.D., H.M.); Mallinckrodt Institute of Radiology,
  • Marques H; From the Department of Medical Imaging, NCSB 1C569 Toronto General Hospital, University of Toronto, University Health Network, 585 University Ave, Toronto, ON, Canada M5G 2N2 (M.A.); Center for Statistical Sciences, Brown University, Providence, RI (F.D., H.M.); Mallinckrodt Institute of Radiology,
  • Ali S; From the Department of Medical Imaging, NCSB 1C569 Toronto General Hospital, University of Toronto, University Health Network, 585 University Ave, Toronto, ON, Canada M5G 2N2 (M.A.); Center for Statistical Sciences, Brown University, Providence, RI (F.D., H.M.); Mallinckrodt Institute of Radiology,
  • Koh WJ; From the Department of Medical Imaging, NCSB 1C569 Toronto General Hospital, University of Toronto, University Health Network, 585 University Ave, Toronto, ON, Canada M5G 2N2 (M.A.); Center for Statistical Sciences, Brown University, Providence, RI (F.D., H.M.); Mallinckrodt Institute of Radiology,
  • Mannel RS; From the Department of Medical Imaging, NCSB 1C569 Toronto General Hospital, University of Toronto, University Health Network, 585 University Ave, Toronto, ON, Canada M5G 2N2 (M.A.); Center for Statistical Sciences, Brown University, Providence, RI (F.D., H.M.); Mallinckrodt Institute of Radiology,
  • DiSilvestro P; From the Department of Medical Imaging, NCSB 1C569 Toronto General Hospital, University of Toronto, University Health Network, 585 University Ave, Toronto, ON, Canada M5G 2N2 (M.A.); Center for Statistical Sciences, Brown University, Providence, RI (F.D., H.M.); Mallinckrodt Institute of Radiology,
  • King SA; From the Department of Medical Imaging, NCSB 1C569 Toronto General Hospital, University of Toronto, University Health Network, 585 University Ave, Toronto, ON, Canada M5G 2N2 (M.A.); Center for Statistical Sciences, Brown University, Providence, RI (F.D., H.M.); Mallinckrodt Institute of Radiology,
  • Pearl M; From the Department of Medical Imaging, NCSB 1C569 Toronto General Hospital, University of Toronto, University Health Network, 585 University Ave, Toronto, ON, Canada M5G 2N2 (M.A.); Center for Statistical Sciences, Brown University, Providence, RI (F.D., H.M.); Mallinckrodt Institute of Radiology,
  • Zhou X; From the Department of Medical Imaging, NCSB 1C569 Toronto General Hospital, University of Toronto, University Health Network, 585 University Ave, Toronto, ON, Canada M5G 2N2 (M.A.); Center for Statistical Sciences, Brown University, Providence, RI (F.D., H.M.); Mallinckrodt Institute of Radiology,
  • Plante M; From the Department of Medical Imaging, NCSB 1C569 Toronto General Hospital, University of Toronto, University Health Network, 585 University Ave, Toronto, ON, Canada M5G 2N2 (M.A.); Center for Statistical Sciences, Brown University, Providence, RI (F.D., H.M.); Mallinckrodt Institute of Radiology,
  • Moxley KM; From the Department of Medical Imaging, NCSB 1C569 Toronto General Hospital, University of Toronto, University Health Network, 585 University Ave, Toronto, ON, Canada M5G 2N2 (M.A.); Center for Statistical Sciences, Brown University, Providence, RI (F.D., H.M.); Mallinckrodt Institute of Radiology,
  • Gold M; From the Department of Medical Imaging, NCSB 1C569 Toronto General Hospital, University of Toronto, University Health Network, 585 University Ave, Toronto, ON, Canada M5G 2N2 (M.A.); Center for Statistical Sciences, Brown University, Providence, RI (F.D., H.M.); Mallinckrodt Institute of Radiology,
Radiology ; 283(2): 450-459, 2017 05.
Article en En | MEDLINE | ID: mdl-28051912
ABSTRACT
Purpose To assess the diagnostic accuracy of fluorine 18 fluorodeoxyglucose (FDG) positron emission tomography (PET) combined with diagnostic contrast material-enhanced computed tomography (CT) in detecting lymph node (LN) metastasis in high-risk endometrial cancer. Materials and Methods This prospective multicenter HIPAA-compliant study had institutional review board approval, and all participants gave written informed consent. Data were accrued between January 2010 and June 2013. Patients underwent PET/CT and pelvic and abdominal lymphadenectomy. Two hundred seven of 215 enrolled patients had PET/CT and pathologic examination results for the abdomen and pelvis. Mean patient age was 62.7 years ± 9.6 (standard deviation). Data in all 23 patients with a positive abdominal examination and in 26 randomly selected patients with a negative abdominal examination were used for this central reader study. Seven independent blinded readers reviewed diagnostic CT and PET/CT results in different sessions 1 month apart. Accuracy was calculated at the participant level, correlating abdominal (right and left para-aortic and common iliac) and pelvic (right and left external iliac and obturator) LN regions with pathologic results, respecting laterality. Reader-average sensitivities, specificities, and areas under the receiver operating characteristic curve (AUCs) of PET/CT and diagnostic CT were compared. Power calculation was for sensitivity and specificity in the abdomen. Results Sensitivities of PET/CT versus diagnostic CT for the detection of LN metastasis were 0.65 (95% confidence interval [CI] 0.57, 0.72) versus 0.50 (95% CI 0.43, 0.58) (P = .01) in the abdomen and 0.65 (95% CI 0.57, 0.72) versus 0.48 (95% CI 0.41, 0.56) (P = .004) in the pelvis. Corresponding specificities were 0.88 (95% CI 0.83, 0.92) versus 0.93 (95% CI 0.89, 0.96) (P = .11) and 0.93 (95% CI 0.86, 0.96) versus 0.89 (95% CI 0.82, 0.94) (P = .27), and AUCs were 0.78 (95% CI 0.66, 0.89) versus 0.74 (95% CI 0.63, 0.86) (P = .39) and 0.82 (95% CI 0.71, 0.92) versus 0.73 (95% CI 0.63, 0.84) (P = .02). Conclusion FDG PET/CT has satisfactory diagnostic accuracy in the detection of abdominal LN metastasis in high-risk endometrial cancer. Compared with diagnostic CT alone, addition of PET to diagnostic CT significantly increased sensitivity in both the abdomen and pelvis while maintaining high specificity. © RSNA, 2017 Online supplemental material is available for this article.
Asunto(s)

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Neoplasias Retroperitoneales / Neoplasias Endometriales / Tomografía Computarizada por Tomografía de Emisión de Positrones / Ganglios Linfáticos Tipo de estudio: Clinical_trials / Diagnostic_studies / Etiology_studies / Risk_factors_studies Límite: Adult / Aged / Aged80 / Female / Humans / Middle aged Idioma: En Revista: Radiology Año: 2017 Tipo del documento: Article

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Neoplasias Retroperitoneales / Neoplasias Endometriales / Tomografía Computarizada por Tomografía de Emisión de Positrones / Ganglios Linfáticos Tipo de estudio: Clinical_trials / Diagnostic_studies / Etiology_studies / Risk_factors_studies Límite: Adult / Aged / Aged80 / Female / Humans / Middle aged Idioma: En Revista: Radiology Año: 2017 Tipo del documento: Article