Literature DB >> 32955372

Diagnostic Discordance in Intraoperative Frozen Section Diagnosis of Ovarian Tumors: A Literature Review and Analysis of 871 Cases Treated at a Japanese Cancer Center.

Hiroshi Yoshida1, Hiroki Tanaka1,2, Takafumi Tsukada1,3, Naoko Abeto1, Mayumi Kobayashi-Kato1, Yasuhito Tanase1, Masaya Uno1, Mitsuya Ishikawa1, Tomoyasu Kato1.   

Abstract

BACKGROUND: This study examined the accuracy and pitfalls associated with frozen section diagnosis of primary ovarian tumors and ovarian metastases based on the 2014 World Health Organization classification (WHO) criteria and proposed improvements from a pathologist's perspective.
METHODS: We microscopically reviewed 871 cases of primary ovarian tumor (N = 802) and ovarian metastasis (N = 69) and compared the results of frozen sections with the final diagnosis. Malignant potential concordance (benign, borderline, or malignant) and specific discordant diagnosis rates were analyzed. Finally, we conducted a unique literature review of specific diagnostic errors in the frozen section diagnosis of primary ovarian tumors.
RESULTS: Of 802 primary ovarian tumors, 50 (6.2%) cases showed discordant diagnoses in which mucinous carcinoma (40.5%), low-grade serous carcinoma (LGSC; 31.3%), and mucinous borderline tumor (18.4%) were frequently misinterpreted. Of 69 ovarian metastases, all 4 cases of low-grade appendiceal mucinous neoplasm (LAMN) were misdiagnosed as primary ovarian mucinous tumor. A literature review revealed that mucinous/serous borderline tumor or carcinoma accounted for approximately 70% of 217 reported discordant diagnoses.
CONCLUSION: In the present study, the concordance rate of malignant potential of the tumor was comparable to that previously reported. Even in the 2014 WHO classification, primary ovarian mucinous borderline tumor/carcinoma and LGSC still comprised the majority of discordant cases. Grossing methods that reduce sampling error are required. LAMN was frequently misinterpreted as a benign or borderline ovarian mucinous tumor. To prevent this error, a differential algorithm integrating clinical information and gross findings should be developed.

Entities:  

Keywords:  diagnostic error; intraoperative frozen diagnosis; ovarian metastasis; ovarian tumor; the 2014 World Health Organization classification

Mesh:

Year:  2020        PMID: 32955372     DOI: 10.1177/1066896920960518

Source DB:  PubMed          Journal:  Int J Surg Pathol        ISSN: 1066-8969            Impact factor:   1.271


  4 in total

1.  Rapid brain structure and tumour margin detection on whole frozen tissue sections by fast multiphotometric mid-infrared scanning.

Authors:  Tim Kümmel; Björn van Marwick; Miriam Rittel; Carina Ramallo Guevara; Felix Wühler; Tobias Teumer; Björn Wängler; Carsten Hopf; Matthias Rädle
Journal:  Sci Rep       Date:  2021-05-28       Impact factor: 4.379

2.  Frozen section diagnosis of borderline ovarian tumors with suspicious features of invasive cancer is a devil's dilemma for the surgeon: A systematic review and meta-analysis.

Authors:  Koen De Decker; Karina H Jaroch; Mireille A Edens; Joost Bart; Loes F S Kooreman; Roy F P M Kruitwagen; Hans W Nijman; Arnold-Jan Kruse
Journal:  Acta Obstet Gynecol Scand       Date:  2021-02-22       Impact factor: 4.544

3.  Machine Learning-Based Gynecologic Tumor Diagnosis and Its Postoperative Incisional Infection Influence Factor Analysis.

Authors:  Qian Shen; Ling Wang
Journal:  J Healthc Eng       Date:  2021-11-23       Impact factor: 2.682

4.  Surgical staging of apparent early-stage ovarian mucinous carcinoma.

Authors:  Zhen Yuan; Ying Zhang; Dongyan Cao; Keng Shen
Journal:  World J Surg Oncol       Date:  2022-09-24       Impact factor: 3.253

  4 in total

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