Correlation of surgeon radiology assessment with laparoscopic disease site scoring in patients with advanced ovarian cancer.
cytoreduction surgical procedures
laparoscopes
ovarian cancer
Journal
International journal of gynecological cancer : official journal of the International Gynecological Cancer Society
ISSN: 1525-1438
Titre abrégé: Int J Gynecol Cancer
Pays: England
ID NLM: 9111626
Informations de publication
Date de publication:
01 2021
01 2021
Historique:
received:
04
08
2020
revised:
13
10
2020
accepted:
15
10
2020
pubmed:
7
11
2020
medline:
17
12
2021
entrez:
6
11
2020
Statut:
ppublish
Résumé
Radiographic triage measures in patients with new advanced ovarian cancer have yielded inconsistent results. To determine the correlation between surgeon radiology assessment and laparoscopic scoring by disease sites in patients with newly diagnosed advanced stage ovarian cancer. 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. 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. 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.
Sections du résumé
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.
Identifiants
pubmed: 33154095
pii: ijgc-2020-001718
doi: 10.1136/ijgc-2020-001718
pmc: PMC8266398
mid: NIHMS1717215
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
92-97Subventions
Organisme : NCI NIH HHS
ID : T32 CA101642
Pays : United States
Organisme : NCI NIH HHS
ID : P30 CA016672
Pays : United States
Organisme : NCI NIH HHS
ID : P50 CA217685
Pays : United States
Organisme : NCI NIH HHS
ID : K07 CA201013
Pays : United States
Organisme : NCI NIH HHS
ID : K08 CA234333
Pays : United States
Informations de copyright
© IGCS and ESGO 2021. No commercial re-use. See rights and permissions. Published by BMJ.
Déclaration de conflit d'intérêts
Competing interests: The authors have the following conflicts of interest to disclosure. Relevant financial activities outside the supported work; NDF: consultant/advisory board (Tesaro, BMS/Pfizer); SNW: consultant (AstraZeneca, Clovis Oncology, GSK/Tesaro, Novartis, Roche/Genentech, Eisai, Merck, Pfizer, Circulogene), research funding (ArQule, AstraZeneca, Clovis Oncology, GSK/Tesaro, Novartis, Roche/Genentech, Bayer, Cotinga Pharmaceuticals); LAM: research funding (AstraZeneca); AJ: consultant (Gerson and Lehrman Group, Guidepoint, Iovance, Nuprobe, Simcere, Pact Pharma), research funding (AstraZeneca, BMS, Iovance, Aravive, Pfizer, Immatics USA, Eli Lilly); RLC: consultant (AstraZeneca, Clovis Oncology, GSK/Tesaro, Novartis, Roche/Genentech, Eisai, Merck, Pfizer, Novocure, Genmab, Gamamab, Oncosec, Tarveda), research funding (AbbVie, Genmab, Merck, AstraZeneca, Clovis Oncology, Roche/Genentech); AKS: consultant (Merck, Kiyatec), shareholder (Biopath), research funding (M-Trap). The following authors have no disclosures: PB, JAR-H, PS, AS, MO, LC, MB, BMF, JB, BZ, CL.
Références
J Biomed Inform. 2009 Apr;42(2):377-81
pubmed: 18929686
Obstet Gynecol. 2018 Sep;132(3):545-554
pubmed: 30095787
Gynecol Oncol. 2008 Sep;110(3):354-9
pubmed: 18572226
Clin Nucl Med. 2015 May;40(5):371-7
pubmed: 25783507
Abdom Imaging. 2013 Dec;38(6):1422-30
pubmed: 23744439
J Clin Oncol. 2017 Feb 20;35(6):613-621
pubmed: 28029317
J Clin Oncol. 2007 Feb 1;25(4):384-9
pubmed: 17264334
Br J Radiol. 2019 Aug;92(1100):20190163
pubmed: 31112412
Gynecol Oncol. 2013 Nov;131(2):341-6
pubmed: 23938372
Gynecol Oncol. 2018 Dec;151(3):428-432
pubmed: 30366647
Int J Gynecol Cancer. 2018 Feb;28(2):316-322
pubmed: 29324538
Radiol Med. 2020 Aug;125(8):770-776
pubmed: 32239470
Cochrane Database Syst Rev. 2019 Mar 23;3:CD009786
pubmed: 30907434
Acad Radiol. 2019 Dec;26(12):1650-1658
pubmed: 31101436
Gynecol Oncol. 2017 Apr;145(1):27-31
pubmed: 28209497
Am J Obstet Gynecol. 2008 Dec;199(6):642.e1-6
pubmed: 18801470
Gynecol Oncol. 2015 Oct;139(1):5-9
pubmed: 26196319
Am J Obstet Gynecol. 2013 Nov;209(5):462.e1-462.e11
pubmed: 23891632
Gynecol Oncol. 2011 Jan;120(1):23-8
pubmed: 20933255
Gynecol Oncol. 2014 Sep;134(3):455-61
pubmed: 25019568
Cancer Treat Res. 1996;82:359-74
pubmed: 8849962
Ann Surg Oncol. 2006 Aug;13(8):1156-61
pubmed: 16791447
Acta Obstet Gynecol Scand. 2011 Oct;90(10):1126-31
pubmed: 21707553
Br J Cancer. 2009 Oct 6;101(7):1066-73
pubmed: 19738608