PURPOSE: To identify both clinical and FDG PET/CT-derived factors predicting the occurrence of relapse, or conversely, the likelihood of false positive findings in surveillance FDG-PET/CT studies (PETsv). METHODS: The study included 149 asymptomatic patients with Hodgkin's lymphoma (HL) (n = 55) or diffuse large B cell lymphoma (DLBCL) (n = 94) in first remission. PETSv studies were performed 12, 18, 24 and 36 months thereafter. Logistic regression analysis was performed to identify clinical and imaging-derived predictors of either PET-detected relapse or false-positive (FP) results. Tested clinical variables were: 1) age, 2) HL vs. DLBCL, 3) stage of disease, 4) bulky disease, 5) previous radiotherapy. PET/CT-derived variables were: 1) maximum standardized uptake value at baseline, 2) size-incorporated maximum standardized uptake value (SIMaxSUV) at baseline, 3) positive interim PET(PET-2), 4) presence of hot spots likely to be unrelated to the disease in final PET, 5) residual non-FDG avid mass. RESULTS: Accuracy was 88 % for PETsv1, 95 % for PETsv2, 95 % for PETsv3 and 91 % for PETsv4. However, PPV was relatively low in all PETsv. Best predictors of relapse were result of interim PET, HL versus NHL type, SIMaxSUV, age ≥ 60. Best predictors of FP were previous radiotherapy and hot spots unrelated to the disease in final PET. CONCLUSIONS: The present study confirms the need of restricting the use of surveillance PET/CT to patients at high risk of relapse. Information derived from PET/CT performed at baseline (metabolic disease burden), in the course (PET2) and at the end of therapy (unrelated hot spots) can help to select high-risk patients and also to identify patients more likely to present equivocal findings at PETsv.
PURPOSE: To identify both clinical and FDG PET/CT-derived factors predicting the occurrence of relapse, or conversely, the likelihood of false positive findings in surveillance FDG-PET/CT studies (PETsv). METHODS: The study included 149 asymptomatic patients with Hodgkin's lymphoma (HL) (n = 55) or diffuse large B cell lymphoma (DLBCL) (n = 94) in first remission. PETSv studies were performed 12, 18, 24 and 36 months thereafter. Logistic regression analysis was performed to identify clinical and imaging-derived predictors of either PET-detected relapse or false-positive (FP) results. Tested clinical variables were: 1) age, 2) HL vs. DLBCL, 3) stage of disease, 4) bulky disease, 5) previous radiotherapy. PET/CT-derived variables were: 1) maximum standardized uptake value at baseline, 2) size-incorporated maximum standardized uptake value (SIMaxSUV) at baseline, 3) positive interim PET(PET-2), 4) presence of hot spots likely to be unrelated to the disease in final PET, 5) residual non-FDG avid mass. RESULTS: Accuracy was 88 % for PETsv1, 95 % for PETsv2, 95 % for PETsv3 and 91 % for PETsv4. However, PPV was relatively low in all PETsv. Best predictors of relapse were result of interim PET, HL versus NHL type, SIMaxSUV, age ≥ 60. Best predictors of FP were previous radiotherapy and hot spots unrelated to the disease in final PET. CONCLUSIONS: The present study confirms the need of restricting the use of surveillance PET/CT to patients at high risk of relapse. Information derived from PET/CT performed at baseline (metabolic disease burden), in the course (PET2) and at the end of therapy (unrelated hot spots) can help to select high-risk patients and also to identify patients more likely to present equivocal findings at PETsv.
Authors: H Tilly; U Vitolo; J Walewski; M Gomes da Silva; O Shpilberg; M André; M Pfreundschuh; M Dreyling Journal: Ann Oncol Date: 2012-10 Impact factor: 32.976
Authors: Alfred Ian Lee; Dan S Zuckerman; Annick D Van den Abbeele; Suzanne L Aquino; Diane Crowley; Christiana Toomey; Ann S Lacasce; Yang Feng; Donna S Neuberg; Ephraim P Hochberg Journal: Cancer Date: 2010-08-15 Impact factor: 6.860
Authors: T C El-Galaly; Karen Juul Mylam; Martin Bøgsted; Peter Brown; Maria Rossing; Anne Ortved Gang; Anne Haglund; Bente Arboe; Michael Roost Clausen; Paw Jensen; Michael Pedersen; Anne Bukh; Bo Amdi Jensen; Christian Bjørn Poulsen; Francesco d'Amore; Martin Hutchings Journal: Am J Hematol Date: 2014-02-24 Impact factor: 10.047
Authors: Xuan Canh Nguyen; Won Woo Lee; Amr Mohamed Amin; Jae Seon Eo; Soo-Mee Bang; Jong Seok Lee; Sang Eun Kim Journal: Nucl Med Mol Imaging Date: 2010-02-26