Poor accuracy of endometrial sampling in patients with uterine carcinosarcomas: a nationwide analysis.

IF 3.4 2区 医学 Q1 OBSTETRICS & GYNECOLOGY Journal of Gynecologic Oncology Pub Date : 2025-01-02 DOI:10.3802/jgo.2025.36.e52
Eveline N B Pham, Caroline B van den Berg, Rachel van Es, Helena C van Doorn, Floris H Groenendijk, Heleen J van Beekhuizen
{"title":"Poor accuracy of endometrial sampling in patients with uterine carcinosarcomas: a nationwide analysis.","authors":"Eveline N B Pham, Caroline B van den Berg, Rachel van Es, Helena C van Doorn, Floris H Groenendijk, Heleen J van Beekhuizen","doi":"10.3802/jgo.2025.36.e52","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>To determine the accuracy of aspiration biopsy (AB), hysteroscopic biopsy (HB), and dilatation &amp; curettage (D&amp;C) in detecting uterine carcinosarcoma (UCS).</p><p><strong>Methods: </strong>Pathology reports were retrieved from the Dutch Nationwide Pathology Databank PALGA for patients with a certain or suggested diagnosis of UCS in pre- and/or postoperative histology between 2001 and 2021. Patients without available pre- or postoperative pathology reports were excluded. The accuracy measures sensitivity, positive predictive value (PPV), accuracy, and concordance using Cohen's kappa were calculated for AB, D&amp;C, and HB, using postoperative histology as the reference. This was analyzed for 2 scenarios: Analysis A compared samples with a certain or suggested diagnosis of UCS vs. no mention of UCS. Analysis B compared samples with a certain diagnosis of UCS vs those without UCS.</p><p><strong>Results: </strong>The study included 1,481 patients, totaling 1,685 samples. Sensitivity was similar for AB and HB (52.4% and 50.5%, respectively, for analysis A; 45.1% and 42.2% for analysis B). D&amp;C showed the highest sensitivity (70.8% and 64.9% for analysis A and B, respectively). AB had the highest PPV (85.3% and 90.9% for analysis A and B, respectively), HB had the lowest PPV (79.7% and 80.9%, respectively). Accuracy was highest for D&amp;C (44.4%) compared to AB (32.8%) and HB (29.5%). All Cohen's kappa values were below 0.20, indicating poor correlation between preoperative and postoperative diagnoses.</p><p><strong>Conclusion: </strong>The study reveals low accuracy measures across all conventional endometrial sampling techniques, highlighting the need for research to identify markers or tools to diagnose UCS.</p>","PeriodicalId":15868,"journal":{"name":"Journal of Gynecologic Oncology","volume":" ","pages":""},"PeriodicalIF":3.4000,"publicationDate":"2025-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Gynecologic Oncology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3802/jgo.2025.36.e52","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"OBSTETRICS & GYNECOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Objective: To determine the accuracy of aspiration biopsy (AB), hysteroscopic biopsy (HB), and dilatation & curettage (D&C) in detecting uterine carcinosarcoma (UCS).

Methods: Pathology reports were retrieved from the Dutch Nationwide Pathology Databank PALGA for patients with a certain or suggested diagnosis of UCS in pre- and/or postoperative histology between 2001 and 2021. Patients without available pre- or postoperative pathology reports were excluded. The accuracy measures sensitivity, positive predictive value (PPV), accuracy, and concordance using Cohen's kappa were calculated for AB, D&C, and HB, using postoperative histology as the reference. This was analyzed for 2 scenarios: Analysis A compared samples with a certain or suggested diagnosis of UCS vs. no mention of UCS. Analysis B compared samples with a certain diagnosis of UCS vs those without UCS.

Results: The study included 1,481 patients, totaling 1,685 samples. Sensitivity was similar for AB and HB (52.4% and 50.5%, respectively, for analysis A; 45.1% and 42.2% for analysis B). D&C showed the highest sensitivity (70.8% and 64.9% for analysis A and B, respectively). AB had the highest PPV (85.3% and 90.9% for analysis A and B, respectively), HB had the lowest PPV (79.7% and 80.9%, respectively). Accuracy was highest for D&C (44.4%) compared to AB (32.8%) and HB (29.5%). All Cohen's kappa values were below 0.20, indicating poor correlation between preoperative and postoperative diagnoses.

Conclusion: The study reveals low accuracy measures across all conventional endometrial sampling techniques, highlighting the need for research to identify markers or tools to diagnose UCS.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
求助全文
约1分钟内获得全文 去求助
来源期刊
Journal of Gynecologic Oncology
Journal of Gynecologic Oncology ONCOLOGY-OBSTETRICS & GYNECOLOGY
CiteScore
6.00
自引率
2.60%
发文量
84
审稿时长
>12 weeks
期刊介绍: The Journal of Gynecologic Oncology (JGO) is an official publication of the Asian Society of Gynecologic Oncology. Abbreviated title is ''J Gynecol Oncol''. It was launched in 1990. The JGO''s aim is to publish the highest quality manuscripts dedicated to the advancement of care of the patients with gynecologic cancer. It is an international peer-reviewed periodical journal that is published bimonthly (January, March, May, July, September, and November). Supplement numbers are at times published. The journal publishes editorials, original and review articles, correspondence, book review, etc.
期刊最新文献
Ovarian squamous cell carcinoma: clinicopathological features, prognosis and immunotherapy outcomes. Is presumed clinical stage I endometrial cancer using PET-CT and MRI accurate in predicting surgical staging? Fertility-sparing treatment outcomes using immune checkpoint inhibitors in endometrial cancer patients with Lynch syndrome. Poor accuracy of endometrial sampling in patients with uterine carcinosarcomas: a nationwide analysis. Early prediction and risk stratification of ovarian cancer based on clinical data using machine learning approaches.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1