OBJECTIVE: The objectives of the study were to compare the operative assessment of residual disease with the postoperative computed tomography (CT) findings in patients with ovarian cancer who underwent primary surgical cytoreduction or interval debulking surgery to residual disease 1 cm or less and to assess the effect of potential prognostic factors on patient survival. METHODS: Patients scheduled for surgery and with an available postoperative CT were eligible for the study. Images were retrospectively analyzed in consensus by 2 radiologists.A 5-point qualitative scoring system was used to evaluate the CT findings (1 = tumor definitely absent, 2 = tumor probably absent, 3 = tumor possibly present, 4 = tumor probably present, 5 = tumor definitely present). RESULTS: Between September 2005 and December 2008, 206 consecutive patients were enrolled; 51 were eligible. In 30 cases (59%), the postoperative CT findings correlated with the surgeon's assessment of residual disease. For the univariate analyses, the only significant prognostic factors associated with overall survival were no residual disease versus residual disease of less than 1 cm as assessed by the surgeon (hazard ratio [HR], 3.06; 95%confidence interval [CI], 1.29--7.27; P = 0.011) and no residual disease versus residual disease greater than 1 cm on CT (HR, 2.57; 95% CI, 1.02--6.48; P = 0.045). The interaction of surgical residual disease and stage 3 was significant (HR, 3.40; 95% CI, 1.42--8.16;P = 0.006) in the multivariate Cox model. CONCLUSIONS: There was only 59% correlation between the surgical assessment and post operative CT findings of residual disease in patients reported to have undergone optimal surgery. Stage and residual disease as assessed by the surgeon were significant prognostic factors for overall survival. The value for postoperative CT may lie in those cases with small-volume residual disease (visible but reported as G1 cm) at surgery.
OBJECTIVE: The objectives of the study were to compare the operative assessment of residual disease with the postoperative computed tomography (CT) findings in patients with ovarian cancer who underwent primary surgical cytoreduction or interval debulking surgery to residual disease 1 cm or less and to assess the effect of potential prognostic factors on patient survival. METHODS:Patients scheduled for surgery and with an available postoperative CT were eligible for the study. Images were retrospectively analyzed in consensus by 2 radiologists.A 5-point qualitative scoring system was used to evaluate the CT findings (1 = tumor definitely absent, 2 = tumor probably absent, 3 = tumor possibly present, 4 = tumor probably present, 5 = tumor definitely present). RESULTS: Between September 2005 and December 2008, 206 consecutive patients were enrolled; 51 were eligible. In 30 cases (59%), the postoperative CT findings correlated with the surgeon's assessment of residual disease. For the univariate analyses, the only significant prognostic factors associated with overall survival were no residual disease versus residual disease of less than 1 cm as assessed by the surgeon (hazard ratio [HR], 3.06; 95%confidence interval [CI], 1.29--7.27; P = 0.011) and no residual disease versus residual disease greater than 1 cm on CT (HR, 2.57; 95% CI, 1.02--6.48; P = 0.045). The interaction of surgical residual disease and stage 3 was significant (HR, 3.40; 95% CI, 1.42--8.16;P = 0.006) in the multivariate Cox model. CONCLUSIONS: There was only 59% correlation between the surgical assessment and post operative CT findings of residual disease in patients reported to have undergone optimal surgery. Stage and residual disease as assessed by the surgeon were significant prognostic factors for overall survival. The value for postoperative CT may lie in those cases with small-volume residual disease (visible but reported as G1 cm) at surgery.
Authors: Kimberly Fung; Sai Kiran Sharma; Outi Keinänen; Kara Long Roche; Jason S Lewis; Brian M Zeglis Journal: Mol Pharm Date: 2020-07-16 Impact factor: 4.939
Authors: Irene A Burger; Debra A Goldman; Hebert Alberto Vargas; Michael W Kattan; Changhon Yu; Lei Kou; Vaagn Andikyan; Dennis S Chi; Hedvig Hricak; Evis Sala Journal: Gynecol Oncol Date: 2015-06-17 Impact factor: 5.482
Authors: Ramez N Eskander; James Kauderer; Krishnansu S Tewari; Robert S Mannel; Robert E Bristow; David M O'Malley; Stephen C Rubin; Gretchen E Glaser; Chad A Hamilton; Keiichi Fujiwara; Warner K Huh; Frederick Ueland; Jean-Marie Stephan; Robert A Burger Journal: Gynecol Oncol Date: 2018-03-15 Impact factor: 5.482