Factors associated with the inconsistent diagnosis between frozen section and permanent pathologic examination in borderline ovarian tumors

Author(s):  
Ying‐Yi Chen ◽  
Hao Lin ◽  
Chen‐Hsuan Wu ◽  
Jui Lan ◽  
Ching‐Chou Tsai ◽  
...  
2011 ◽  
Vol 7 (4) ◽  
pp. 416 ◽  
Author(s):  
Emre Gultekin ◽  
Basak Cingillioglu ◽  
Muzaffer Sanci ◽  
OzgeElmastas Gultekin ◽  
Sevil Sayhan ◽  
...  

Author(s):  
Isin Ureyen ◽  
Taner Turan ◽  
Derya Akdag Cirik ◽  
Tolga Tasci ◽  
Nurettin Boran ◽  
...  

2015 ◽  
Vol 46 ◽  
pp. 61-61
Author(s):  
S. Gizzo ◽  
M. Noventa ◽  
A. Vitagliano ◽  
M. Quaranta ◽  
R. Venturella ◽  
...  

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Salvatore Gizzo ◽  
Roberto Berretta ◽  
Stefania Di Gangi ◽  
Maria Guido ◽  
Giuliano Carlo Zanni ◽  
...  

The aim of our study was to assess the value of a preoperative He4-serum-assay and ROMA-score assessment in improving the accuracy of frozen section histology in the diagnosis of borderline ovarian tumors (BOT). 113 women presenting with a unilateral ovarian mass diagnosed as serous/mucinous BOT at frozen-section-histology (FS) and/or confirmed on final pathology were recruited. Pathologists were informed of the results of preoperative clinical/instrumental assessment of all patients. For Group_A patients, additional information regarding He4, CA125, and ROMA score was available (in Group_B only CA125 was known). The comparison between Group A and Group B in terms of FS accuracy, demonstrated a consensual diagnosis in 62.8% versus 58.6% (P: n.s.), underdiagnosis in 25.6% versus 41.4% (P<0.05), and overdiagnosis in 11.6% versus 0% (P<0.01). Low FS diagnostic accuracy was associated with menopausal status (OR: 2.13), laparoscopic approach (OR: 2.18), mucinous histotype (OR: 2.23), low grading (OR: 1.30), and FIGO stage I (OR: 2.53). Ultrasound detection of papillae (OR: 0.29), septa (OR: 0.39), atypical vascularization (OR: 0.34), serum He4 assay (OR: 0.39), and ROMA score assessment (OR: 0.44) decreased the probability of underdiagnosis. A combined preoperative assessment through serum markers and ultrasonographic features may potentially reduce the risk of underdiagnosis of BOTs on FS while likely increasing the concomitant incidence of false-positive events.


2003 ◽  
Vol 13 (5) ◽  
pp. 593-597 ◽  
Author(s):  
M. Gol ◽  
A. Baloglu ◽  
S. Yigit ◽  
M. Dogan ◽  
Ç. Aydin ◽  
...  

A retrospective study of 222 ovarian biopsy results between January 1, 2000 and August 31, 2002 was examined to determine the accuracy of frozen section diagnosis. In addition we reviewed all previous studies that examined the accuracy rates of frozen section diagnosis in ovarian tumors. Histopathologic examination results of frozen section biopsies were concordant with paraffin diagnosis in 92% of all cases. The sensitivity rates for benign, malignant, and borderline ovarian tumors were 98%, 88.7%, and 61%, respectively. There were five (2.2%) false-positive (overdiagnosed), and 13 (5.4%) false-negative (underdiagnosed) patients in frozen section examination. Frozen section examination of mucinous tumors showed higher underdiagnosis rates (20%). Review of previous studies showed no significant variation in accuracy rates of frozen section diagnosis for benign and malignant ovarian tumors, in relation with time. We found low accuracy rates for borderline ovarian tumors which was similar with the previous studies. Hovewer, there were consistent and relatively higher sensitivity rates for borderline ovarian tumors in the recent studies. As a result, we conclude that frozen section evaluation in identifying a malignant or benign ovarian tumor is accurate enough for the correct diagnosis. Since accuracy rates for borderline ovarian tumors are low, we should have more improvement in the correct diagnosis.


2019 ◽  
Vol 26 (1) ◽  
pp. 87-93 ◽  
Author(s):  
Jaimin S. Shah ◽  
Michael Mackelvie ◽  
David M. Gershenson ◽  
Preetha Ramalingam ◽  
Marylee M. Kott ◽  
...  

2017 ◽  
Vol 147 (1) ◽  
pp. 217-218
Author(s):  
J. Shah ◽  
M. Mackelvie ◽  
P. Ramalingam ◽  
P. Gauthier ◽  
M. Kott ◽  
...  

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