The accuracy and clinical impact of intraoperative frozen section in determining the extent of surgical intervention in patients with early stage endometrial cancer

Author(s):  
Reem Abdallah ◽  
Ali Khalil ◽  
Suleiman Ghunaim ◽  
Alaa El Housheimi ◽  
Dalia Khalife ◽  
...  
2009 ◽  
Vol 19 (9) ◽  
pp. 1570-1573 ◽  
Author(s):  
Andrea Papadia ◽  
Guglielmo Azioni ◽  
Bruno Brusacà ◽  
Ezio Fulcheri ◽  
Karen Nishida ◽  
...  

Objective:To compare the risk status for lymph nodal metastasis at frozen section in endometrial cancer by applying a model based on tumor grade and myometrial involvement.Study Design:A retrospective analysis was performed on 174 early-stage endometrial cancer patients on whom an intraoperative frozen section was requested. Patients were retrospectively divided into low, intermediate, and high risk for lymph nodal involvement based on tumor grade and myometrial invasion based on Gynecologic Oncology Group 33 data. Concordance of risk status at frozen and permanent sections was performed.Results:Risk status at frozen and permanent sections were highly correlated (P < 0.01). Agreement between frozen and permanent sections was substantial (κ = 0.625). In 16% of the cases, frozen section underestimated the risk when compared with permanent section.Conclusion:Relying on intraoperative frozen section of the uterus to assess risk status for lymph nodal involvement in early-stage endometrial cancer patients leads to suboptimal management in a substantial number of cases.


2016 ◽  
Author(s):  
Rohit Raghunath Ranade

Introduction: The role of systematic lymphadenectomy in clinically early stage endometrial cancer is controversial. A number of factors can predict lymph node metastasis including myometrial invasion, tumor grade in endometrial cancers. The purpose of the present study is to evaluate the accuracy of preoperative MRI and intraoperative frozen section in determining the depth of myometrial invasion, cervical involvement, tumor size and lymph nodal status. We also studied the accuracy of preoperative endometrial biopsy and intraoperative frozen section in determining the grade of the tumor. Materials and Methods: Medical records of 235 consecutive cases of clinically early stage endometrial cancer were reviewed retrospectively. A record of depth of myometrial invasion, tumor size, cervical involvement and presence of enlarged lymph nodes was made on a preoperative MRI. Similarly depth of myometrial invasion, tumor size, cervical involvement and grade of the tumor were recorded on an intraoperative frozen section. The grade of the tumor was also recorded on a preoperative endometrial biopsy. Standard statistical calculations were used. Results: The sensitivity and specificity of MRI for myometrial invasion for the first 160 cases were 81.3 and 75%, respectively while that for frozen section were 80 and 96.2%, respectively. For tumor grade the sensitivity and specificity of preoperative endometrial biopsy were 60 and 95.6%, respectively while that of frozen section were 53.8 and 97.6%, respectively. For cervical involvement the sensitivity of MRI and frozen section was 62.5 and 98.4%, respectively. Updated results of the entire cohort of 235 cases will be presented at the conference if selected. Conclusion: Although the sensitivity of both frozen section and MRI for predicting deep myometrial invasion was similar (80 vs 81.3%) but the specificity (96.2 vs 75%) and negative predictive value (92.7 vs 88.2%) of frozen section were superior to MRI. Both preoperative biopsy and intraoperative frozen section had low sensitivity (60 vs 53.8%) for detecting a high grade lesion.


2014 ◽  
Vol 24 (6) ◽  
pp. 1021-1026 ◽  
Author(s):  
Paolo Sala ◽  
Matteo Morotti ◽  
Mario Valenzano Menada ◽  
Elisa Cannavino ◽  
Ilaria Maffeo ◽  
...  

ObjectiveThe aim of this study was to investigate the frozen section (FS) accuracy in tailoring the surgical staging of patients affected by endometrial cancer, using 2 different risk classifications.Methods/MaterialsA retrospective analysis of 331 women affected by type I endometrial cancer and submitted to FS assessment at the time of surgery. Pathologic features were examined on the frozen and permanent sections according to both the GOG33 and the Mayo Clinic algorithms. We compared the 2 models through the determination of Landis and Koch kappa statistics, concordance rate, sensitivity, specificity, positive predictive value, and negative predictive value for each risk algorithm, to assess whether there are differences in FS accuracy depending on the model used.ResultsThe observed agreement between the frozen and permanent sections was respectively good (k = 0.790) for the GOG33 and optimal (k = 0.810) for the Mayo classification. Applying the GOG33 algorithm, 20 patients (6.7%) were moved to an upper risk status, and 20 (6.7%) were moved to a lower risk status on the permanent section; the concordance rate was 86.5%. With the Mayo Clinic algorithm, discordant cases between frozen and permanent sections were 19 (7.6%), and the risk of lymphatic spread was underestimated only in 1 case (0.4%); the concordance rate was 92.4%. The sensitivity, specificity, positive predictive value, and negative predictive value for the GOG33 were 92%, 94%, 92%, and 93%, whereas with the Mayo algorithm, these were 98%, 91%, 77%, and 99%, respectively.ConclusionsAccording to higher correlation rate and observed agreement (92.4% vs 86.5% and k = 0.810 vs 0.790, respectively), the Mayo Clinic algorithm minimizes the number of patients undertreated at the time of surgery than the GOG33 classification and can be adopted as an FS algorithm to tailor the surgical treatment of early-stage endometrial cancer even in different centers.


2019 ◽  
Vol 37 (15_suppl) ◽  
pp. e17128-e17128
Author(s):  
Wafa Khadraoui ◽  
Christina Tierney ◽  
Sophie Chung ◽  
Masoud Azodi ◽  
Elena Ratner ◽  
...  

e17128 Background: The standard surgical staging for endometrial cancer has been established as a total laparoscopic hysterectomy,bilateral salpingo-oopherectomy and lymphadenectomies. However, ovarian removal can have significant consequences in pre- and peri-menopausal women, which comprise 25% newly diagnosed endometrial cancer. The potential ramifications of premature surgical menopause are clinically important. The goal of this study is to determine the incidence of microscopic adnexal metastatic disease in younger patients with presumed early stage endometrial cancer. Methods: From January 2005 through December 2010, 57 women who were 52 years old or younger with presumed early stage endometrial cancer were identified from our institutional database. Inclusion criteria included (1) FIGO grade 1 endometrioid endometrial cancer on endometrial biopsy, or (2) FIGO grade 1 endometrioid endometrial cancer on frozen section specimen with < 50% myometrial invasion, no evidence of metastatic disease on pre-operative imaging, and no grossly visible metastatic disease in the peritoneal cavity during the staging surgery. Results: Of these 57 patients, four (7%) had lymphovascular space invasion, 20 (35%) had lower uterine segment involvement, 26 (45%) had superficial myometrial invasion or no residual carcinoma, while three (5%) unexpectedly had 50% or greater myometrial invasion on final pathology. Half of our patient population (50%) received vaginal brachytherapy. Of the 57 patients, one (1.8%) had microscopic adnexal involvement in a fallopian tube which upstaged her to stage IIIA disease. Pathological risk factors for advanced stage included LVI, lower uterine segment disease, and 50% myometrial invasion. Conclusions: After a thorough pre-operative evaluation and intra-operative exploration, preservation of the ovaries appears to be a safe and viable option for younger women who are diagnosed with presumed early stage disease. We suggest that ovarian preservation should be discussed on an individual basis in pre- peri-menopausal patients who meet the above-mentioned strict eligibility criteria.


2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Khalid Atallah ◽  
Basel Refky ◽  
Omar Hamdy ◽  
Gehad Ahmed Saleh ◽  
M. M. A. Zaki ◽  
...  

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