A digital application increases the accuracy and reduces the time required to determine the stage of endometrial cancer according to the 2023 FIGO staging system
Nai-Ming Cheng , Yu-Ting Lin , Shih-Yao Lin , Yen-Hou Chang , Yi-Jen Chen
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引用次数: 0
Abstract
Objective
The 2023 International Federation of Gynecology and Obstetrics (FIGO) staging system for endometrial cancer has significantly increased the complexity of stage determination. We developed a digital application, the Endometrial Cancer Staging (ECAS) application, to assist in determining the endometrial cancer stage. This study aimed to assess whether ECAS can increase the accuracy and reduce the time required for staging endometrial cancer compared to conventional lookup methods.
Materials and methods
This self-controlled, paired study was conducted at the Taipei Veterans General Hospital. We designed an evaluation test comprising two parts, each with ten pathology reports. Evaluators with different levels of clinical experience were recruited. They utilized the ECAS application and conventional lookup methods to stage endometrial cancer in different parts of the test. The accuracy and time required for stage determination were collected and analyzed.
Results
The ECAS application significantly increased the accuracy (92.1 % vs. 58.1 %, p < 0.001) and reduced the time required (897 s vs. 1152 s, p < 0.001) to determine the stage of endometrial cancer compared to the conventional method. When stratified by specialty, among evaluators without a gynecologic specialty, ECAS showed increased accuracy (90.5 % vs. 52.4 %, p < 0.001) and reduced time (1029 s vs. 1487 s, p < 0.001). For evaluators with a gynecologic specialty, ECAS application increased accuracy (93.3 % vs. 62.6 %, p < 0.001); however, it did not significantly reduce the time required (795 s vs. 890 s, p = 0.098). For complex conditions, ECAS improved the accuracy of stage determination for molecular classification (94.8 % vs. 49.0 %, p < 0.001) and stage IA3 disease (91.7 % vs. 58.3 %, p < 0.001).
Conclusions
The ECAS application increased the accuracy and reduced the time required to determine the stage of endometrial cancer according to the 2023 FIGO staging system.
目的2023年国际妇产科联合会(International Federation of Gynecology and Obstetrics, FIGO)子宫内膜癌分期系统显著增加了分期的复杂性。我们开发了一个数字应用程序,子宫内膜癌分期(ECAS)应用程序,以帮助确定子宫内膜癌分期。本研究旨在评估与传统的查找方法相比,ECAS是否可以提高子宫内膜癌分期的准确性并减少所需的时间。材料与方法本研究在台北退伍军人总医院进行。我们设计了一个评估测试,包括两个部分,每个部分有十份病理报告。我们招募了具有不同临床经验水平的评估者。他们利用ECAS应用程序和传统的查找方法在测试的不同部分对子宫内膜癌进行分期。收集并分析了阶段测定的准确性和所需时间。结果应用ECAS可显著提高准确率(92.1% vs. 58.1%, p <;0.001),并减少了所需的时间(897秒vs. 1152秒,p <;0.001)来确定子宫内膜癌的分期。当按专业分层时,在没有妇科专业的评估者中,ECAS显示出更高的准确性(90.5%对52.4%,p <;0.001)和缩短时间(1029秒vs. 1487秒,p <;0.001)。对于妇科专业的评估者,ECAS的应用提高了准确性(93.3% vs. 62.6%, p <;0.001);然而,它并没有显著减少所需的时间(795秒对890秒,p = 0.098)。在复杂条件下,ECAS提高了分子分类分期测定的准确性(94.8% vs. 49.0%, p <;0.001)和IA3期(91.7% vs. 58.3%, p <;0.001)。结论ECAS的应用提高了根据2023年FIGO分期系统确定子宫内膜癌分期的准确性并缩短了所需的时间。
期刊介绍:
Taiwanese Journal of Obstetrics and Gynecology is a peer-reviewed journal and open access publishing editorials, reviews, original articles, short communications, case reports, research letters, correspondence and letters to the editor in the field of obstetrics and gynecology.
The aims of the journal are to:
1.Publish cutting-edge, innovative and topical research that addresses screening, diagnosis, management and care in women''s health
2.Deliver evidence-based information
3.Promote the sharing of clinical experience
4.Address women-related health promotion
The journal provides comprehensive coverage of topics in obstetrics & gynecology and women''s health including maternal-fetal medicine, reproductive endocrinology/infertility, and gynecologic oncology. Taiwan Association of Obstetrics and Gynecology.