NDLI: Can addition of frozen section analysis to preoperative endometrial biopsy and MRI improve identification of high-risk endometrial cancer patients?

Content Provider	Springer Nature : BioMed Central
Author	Nakai, Go Tanaka, Yoshikazu Yamada, Takashi Ohmichi, Masahide Yamamoto, Kazuhiro Osuga, Keigo
Abstract	Background Surgeons sometimes have difficulty determining which result to favor when preoperative results (MRI + preoperative endometrial biopsy [pre-op EB]) differ from intraoperative frozen section histology (FS) results. Investigation of how FS can complement ordinary preoperative examinations like MRI and pre-op EB in identification of patients at high risk of lymph node metastasis (high-risk patients) could provide clarity on this issue. Therefore, the aim of this study is to assess the utility of pre-op EB, MRI and FS results and determine how to combine these results in identification of high-risk patients. Methods The subjects were 172 patients with endometrial cancer. Patients with a histological high-grade tumor (HGT), namely, grade 3 endometrioid cancer, clear cell carcinoma or serous cell carcinoma, or with any type of cancer invading at least half of the uterine myometrium were considered high-risk. Tumors invading at least half of the uterine myometrium were classified as high-stage tumors (HST). We compared (a) detection of HGT using pre-op EB versus FS, (b) detection of HST using MRI versus FS, and (c) identification of high-risk patients using MRI + pre-op EB versus FS. Lastly, we determined to what degree addition of FS results improves identification of high-risk patients by routine MRI + pre-op EB. Results (a) Sensitivity, specificity, and accuracy for detecting HGT were 59.6, 98.4 and 87.8% for pre-op EB versus 55.3, 99.2 and 87.2% for FS (P = 0.44). (b) These figures for detecting HST were 74.4, 83.0 and 80.8% for MRI versus 46.5, 99.2 and 86.0% for FS (P < 0.001). (c) These figures for identifying high-risk patients were 78.3, 85.4 and 82.6% for MRI + pre-op EB versus 55.1, 99.0 and 81.2% for FS (P < 0.001). The high specificity of FS improved the sensitivity of MRI + pre-op EB from 78.3 to 81.2%, but this difference was not statistically significant (P < 0.16). Conclusion Frozen section enables identification of high-risk patients with nearly 100% specificity. This advantage can be used to improve sensitivity for identification of high-risk patients by routine MRI + pre-op EB, although this improvement is not statistically significant.
Related Links	https://bmccancer.biomedcentral.com/counter/pdf/10.1186/s12885-021-08910-5.pdf
Ending Page	9
Page Count	9
Starting Page	1
File Format	HTM / HTML
ISSN	14712407
DOI	10.1186/s12885-021-08910-5
Journal	BMC Cancer
Issue Number	1
Volume Number	21
Language	English
Publisher	BioMed Central
Publisher Date	2021-11-04
Access Restriction	Open
Subject Keyword	Cancer Research Oncology Surgical Oncology Health Promotion and Disease Prevention Biomedicine Medicine Public Health Endometrial cancer Frozen section MRI Preoperative endometrial biopsy Medicine/Public Health
Content Type	Text
Resource Type	Article
Subject	Cancer Research Oncology Genetics
Journal Impact Factor	3.4/2023
5-Year Journal Impact Factor	3.8/2023

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Frozen section accurately allows pathological characterization of endometrial cancer in patients with a preoperative ambiguous or inconclusive diagnoses: our experience

Are preoperative histology and MRI useful for classification of endometrial cancer risk?

Preoperative serum CA125: a useful marker for surgical management of endometrial cancer

Paclitaxel and concomitant radiotherapy in high-risk endometrial cancer patients: preliminary findings

Identification and validation of glucose metabolism-related gene signature in endometrial cancer

The accuracy of frozen section analysis in ultrasound- guided core needle biopsy of breast lesions

Estrogen receptor alpha gene polymorphism and endometrial cancer risk – a case-control study

Identification of a metabolism-related gene expression prognostic model in endometrial carcinoma patients

Serum HE4 detects recurrent endometrial cancer in patients undergoing routine clinical surveillance

Can addition of frozen section analysis to preoperative endometrial biopsy and MRI improve identification of high-risk endometrial cancer patients?

Similar Documents

Frozen section accurately allows pathological characterization of endometrial cancer in patients with a preoperative ambiguous or inconclusive diagnoses: our experience

Are preoperative histology and MRI useful for classification of endometrial cancer risk?

Preoperative serum CA125: a useful marker for surgical management of endometrial cancer

Paclitaxel and concomitant radiotherapy in high-risk endometrial cancer patients: preliminary findings

Identification and validation of glucose metabolism-related gene signature in endometrial cancer

The accuracy of frozen section analysis in ultrasound- guided core needle biopsy of breast lesions

Estrogen receptor alpha gene polymorphism and endometrial cancer risk – a case-control study

Identification of a metabolism-related gene expression prognostic model in endometrial carcinoma patients

Serum HE4 detects recurrent endometrial cancer in patients undergoing routine clinical surveillance

Can addition of frozen section analysis to preoperative endometrial biopsy and MRI improve identification of high-risk endometrial cancer patients?