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Correlation of surgeon radiology assessment with laparoscopic disease site scoring in patients with advanced ovarian cancer. | LitMetric

AI Article Synopsis

  • The study aimed to find out how well surgeons' assessments of CT scans for advanced ovarian cancer matched with actual laparoscopic scores obtained during surgery, focusing on the resectability of the disease.
  • A group of 14 gynecologic oncology surgeons conducted a blinded review of CT imaging for 20 patients and relied on a scoring system called the Fagotti scoring method to evaluate the condition.
  • The results showed low agreement between the surgeons' radiology assessments and the laparoscopic scores, indicating inconsistencies in how surgeons interpret imaging for evaluating advanced ovarian cancer.

Article Abstract

Background: Radiographic triage measures in patients with new advanced ovarian cancer have yielded inconsistent results.

Objective: To determine the correlation between surgeon radiology assessment and laparoscopic scoring by disease sites in patients with newly diagnosed advanced stage ovarian cancer.

Methods: Fourteen gynecologic oncology surgeons from a single institution performed a blinded review of pre-operative contrast-enhanced CT imaging from patients with advanced stage ovarian cancer. Each of the patients had also undergone laparoscopic scoring assessment, between April 2013 and December 2017, to determine primary resectability using the validated Fagotti scoring method, and assigned a predictive index value score. Surgeons were asked to provide expected predictive index value scores based on their blinded review of the antecedent CT imaging. Linear mixed models were conducted to calculate the correlation between radiologic and laparoscopic score for surgeons individually, and as a group. Once the model was fit, the inter-class correlation and 95% CI were calculated.

Results: Radiology review was performed on 20 patients with advanced stage ovarian cancer who underwent laparoscopic scoring assessment. Surgeon faculty rank included assistant professor (n=5), associate professor (p=4), and professor (n=5). The kappa inter-rater agreement was -0.017 (95% CI -0.023 to -0.005), indicating low inter-rater agreement between radiology review and actual laparoscopic score. The inter-class correlation in this model was 0.06 (0.02-0.21), indicating that surgeons do not score the same across all the images. When using a clinical cut-off point for the predictive index value of 8, the probability of agreement between radiology and actual laparoscopic score was 0.56 (95% CI 0.49 to 0.73). Examination of disease site sub-scales showed that the probability of agreement was as follows: peritoneum 0.57 (95% CI 0.51 to 0.62), diaphragm 0.54 (95% CI 0.48 to 0.60), mesentery 0.51 (95% CI 0.45 to 0.57), omentum 0.61 (95% CI 0.55 to 0.67), bowel 0.54 (95% CI 0.44 to 0.64), stomach 0.71 (95% CI 0.65 to 0.76), and liver 0.36 (95% CI 0.31 to 0.42). The number of laparoscopic scoring cases, tumor reductive surgery cases, or faculty rank was not significantly associated with overall or sub-scale agreement.

Conclusions: Surgeon radiology review did not correlate highly with actual laparoscopic scoring assessment findings in patients with advanced stage ovarian cancer. Our study highlights the limited accuracy of surgeon radiographic assessment to determine resectability.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8266398PMC
http://dx.doi.org/10.1136/ijgc-2020-001718DOI Listing

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