Radiologic quantitative score in computed tomography to predict primary debulking outcome in advanced ovarian cancer

2020 ◽  
Vol 159 ◽  
pp. 344
Author(s):  
J. Zuo
Oncology ◽  
2014 ◽  
Vol 87 (5) ◽  
pp. 293-299 ◽  
Author(s):  
Domenica Lorusso ◽  
Italo Sarno ◽  
Violante Di Donato ◽  
Antonella Palazzo ◽  
Elena Torrisi ◽  
...  

2009 ◽  
Vol 19 (9) ◽  
pp. 1662-1665 ◽  
Author(s):  
Sandra Cohen-Mouly ◽  
Alain Badia ◽  
Anne-Sophie Bats ◽  
Françoise Barthes ◽  
Chérazade Bensaïd ◽  
...  

Objectives:To evaluate the feasibility of video-assisted thoracoscopy (VAT) for staging advanced ovarian cancer, to measure the performance of preoperative computed tomography (CT) for diagnosing pleural metastases, to assess the correlation between pleural and abdominal involvement, and to measure the impact of VAT on patient management.Methods:We retrospectively evaluated 16 VAT procedures in 15 patients with advanced ovarian malignancies and pleural effusions. The reason for VAT was either to evaluate unilateral or bilateral pleural effusions (n = 15) or to evaluate pleural metastases after neoadjuvant chemotherapy (n = 1). Preoperative CT was performed routinely, and findings were compared with those of VAT. The rates of involvement of the hepatic pedicle, mesentery, and right side of the diaphragm were compared with the rate of pleural involvement.Results:The right side of the chest was examined 12 times; and the left side, 4 times. There were no complications; 1 procedure was stopped because of ventilatory intolerance. Video-assisted thoracoscopy identified metastases smaller than 1 cm in 5 patients and larger than 1 cm in 2 additional patients; there was no evidence of pleural involvement in 6 patients. Computed tomography had 14% sensitivity and 25% specificity for pleural status determination, using VAT biopsy as the reference standard. Pleural involvement did not correlate with involvement of the hepatic pedicle, mesentery, or right side of the diaphragm.Conclusions:Video-assisted thoracoscopy performs better than CT for evaluating pleural involvement in ovarian cancer. Video-assisted thoracoscopy supplies accurate data on thoracic involvement, which does not seem predictable from the peritoneal involvement. Video-assisted thoracoscopy may impact patient management.


1987 ◽  
Vol 293 (2) ◽  
pp. 94-98 ◽  
Author(s):  
P. Warde ◽  
D.F. Rideout ◽  
S. Herman ◽  
I.F. Majesky ◽  
J.F.G. Sturgeon ◽  
...  

2007 ◽  
Vol 25 (4) ◽  
pp. 384-389 ◽  
Author(s):  
Allison E. Axtell ◽  
Margaret H. Lee ◽  
Robert E. Bristow ◽  
Sean C. Dowdy ◽  
William A. Cliby ◽  
...  

Purpose Identify features on preoperative computed tomography (CT) scans to predict suboptimal primary cytoreduction in patients treated for advanced ovarian cancer in institution A. Reciprocally cross validate the predictors identified with those from two previously published cohorts from institutions B and C. Patients and Methods Preoperative CT scans from patients with stage III/IV epithelial ovarian cancer who underwent primary cytoreduction in institution A between 1999 and 2005 were retrospectively reviewed by radiologists blinded to surgical outcome. Fourteen criteria were assessed. Crossvalidation was performed by applying predictive model A to the patients from cohorts B and C, and reciprocally applying predictive models B and C to cohort A. Results Sixty-five patients from institution A were included. The rate of optimal cytoreduction (≤ 1 cm residual disease) was 78%. Diaphragm disease and large bowel mesentery implants were the only CT predictors of suboptimal cytoreduction on univariate (P < .02) and multivariate analysis (P < .02). In combination (model A), these predictors had a sensitivity of 79%, a specificity of 75%, and an accuracy of 77% for suboptimal cytoreduction. When model A was applied to cohorts B and C, accuracy rates dropped to 34% and 64%, respectively. Reciprocally, models B and C had accuracy rates of 93% and 79% in their original cohorts, which fell to 74% and 48% in cohort A. Conclusion The high accuracy rates of CT predictors of suboptimal cytoreduction in the original cohorts could not be confirmed in the cross validation. Preoperative CT predictors should be used with caution when deciding between surgical cytoreduction and neoadjuvant chemotherapy.


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