scholarly journals Surgical outcome prediction in patients with advanced ovarian cancer using computed tomography scans and intraoperative findings

2014 ◽  
Vol 53 (3) ◽  
pp. 343-347 ◽  
Author(s):  
Ha-Jeong Kim ◽  
Chel Hun Choi ◽  
Yoo-Young Lee ◽  
Tae-Joong Kim ◽  
Jeong-Won Lee ◽  
...  
2020 ◽  
Author(s):  
Mihaela Asp ◽  
Susanne Malander ◽  
NilsOlof Wallengren ◽  
Sonja Pudaric ◽  
Johan Bengtsson ◽  
...  

Abstract Background Epithelial ovarian cancer is usually diagnosed at advanced stages. To choose the best therapeutic approach, an accurate assessment of the tumor spread is crucial. This study aimed to determine whether numeric scoring, the amount of ascites, and the presence of cardiophrenic nodes (CPLNs) visualized by computed tomography (CT), can predict the tumor extent and improve the outcome of AOC upfront surgery. Methods This single center retrospective analysis of 194 patients diagnosed with AOC included 119 patients treated with upfront surgery at the Skåne University Hospital, Lund, Sweden, from January 2016 to December 2018. CT based peritoneal cancer index (PCI) scores, enlarged cardiophrenic lymph nodes (CPLNs), and the amount of ascites were correlated to the surgical PCI (S-PCI) and the completeness of the cytoreductive surgery.The patients were grouped according to the residual disease (RD) and the overall survival (OS) rates for the three groups were determined using Kaplan-Meier curves. Linear regression and the interclass correlation (ICC) analyses were used to determine the relationship between CT-PCI and S-PCI. Results The survival rate was significantly higher in patients with no macroscopic residual disease compared those with residual disease <10 mm (p<0.03) or residual disease ≥10 mm (p<0.005). S-PCI and large ascites volumes were correlated with the risk of suboptimal residual disease (for ascites > 1000 ml, OR 5.5626 (1.665-19.007) p<0.019; for S-PCI, OR 1.24 (1.141-1.348), p<0.001). CT-PCI, CA-125 level and CPLN were not predictive of the cytoreductive surgery results in the adjusted data to days from CT to operation and for ascites. CT-PCI correlated well to S-PCI ((95%) CI: 0.397 (0.252-0.541) p<0.001). Conclusions CT is a reliable tool for assessing the extent of the disease in AOC, but it has limitations in predicting surgical outcome. This study was unable to show an association between the CT-PCI and surgical outcome when the data were adjusted and ascites, CA-125 level, days between the CT examination to surgery and CPLN. Ascites volumes exceeding 1000 ml increased the risk of residual disease and thereby worse outcome. That certain areas (e.g., small bowel region) are particularly critical when evaluating surgical outcome using preoperative CT-PCI warrants further investigation.


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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