Literature DB >> 21795987

Intraoperative frozen section assessment of myometrial invasion and histology of endometrial cancer using the revised FIGO staging system.

Hiromi Ugaki1, Toshihiro Kimura, Takashi Miyatake, Yutaka Ueda, Kiyoshi Yoshino, Shinya Matsuzaki, Masami Fujita, Tadashi Kimura, Eiichi Morii, Takayuki Enomoto.   

Abstract

OBJECTIVES: The objective of this study was to assess the value of intraoperative frozen section (IFS) diagnosis for myometrial invasion and histology of endometrial cancer using the revised International Federation of Gynecology and Obstetrics (FIGO) staging system.
METHODS: The medical records of 303 patients with endometrial cancer who underwent surgery with intraoperative diagnosis at the Osaka University Hospital between January 1999 and December 2008 were reviewed. Intraoperative frozen section diagnosis was retrospectively analyzed for the accuracy rates of myometrial invasion and histology compared with the final diagnosis and with preoperative prediction by magnetic resonance imaging (MRI) and endometrial curettage.
RESULTS: When using the previous FIGO staging system, the accuracy rate of IFS for the diagnosis of myometrial invasion was 77%, whereas the accuracy rate of preoperative prediction by MRI was 54%. However, using the newly revised FIGO staging system for myometrial invasion, the accuracy rate of IFS was 87% and the preoperative prediction by MRI was 82%. The accuracy rate of IFS for the diagnosis of histology was 71%, whereas the accuracy rate of preoperative prediction by endometrial curettage was 68%.
CONCLUSION: Although under the previous FIGO staging system IFS diagnosis was significantly more accurate than preoperative prediction by MRI, when using the newly revised FIGO staging system, there are no significant differences between the values of preoperative and intraoperative diagnoses. The accuracy of IFS, however, trends to be slightly better than the preoperative procedures of MRI and endometrial surface biopsy. Thus, IFS diagnosis is still useful for directing primary operative management.

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Year:  2011        PMID: 21795987     DOI: 10.1097/IGC.0b013e318221eb92

Source DB:  PubMed          Journal:  Int J Gynecol Cancer        ISSN: 1048-891X            Impact factor:   3.437


  6 in total

1.  The guidance of intraoperative frozen section for staging surgery in endometrial carcinoma: frozen section in endometrial carcinoma.

Authors:  Arbil Acikalin; Derya Gumurdulu; Emine Kilic Bagir; Goncagül Torun; Ahmet Baris Guzel; Handan Zeren; Mehmet Ali Vardar
Journal:  Pathol Oncol Res       Date:  2014-05-20       Impact factor: 3.201

2.  Prediction of staging with preoperative parameters and frozen/section in patients with a preoperative diagnosis of grade 1 endometrioid tumor in endometrial cancer.

Authors:  Alper Karalok; Işın Ureyen; Yıldız Reis; Ozge Oktay; Taner Turan; Nurettin Boran; Dilek Bülbül; Gökhan Tulunay; Mehmet Faruk Köse
Journal:  J Turk Ger Gynecol Assoc       Date:  2014-01-30

3.  Cancer of the corpus uteri: 2021 update.

Authors:  Martin Koskas; Frédéric Amant; Mansoor Raza Mirza; Carien L Creutzberg
Journal:  Int J Gynaecol Obstet       Date:  2021-10       Impact factor: 4.447

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

Authors:  Go Nakai; Yoshikazu Tanaka; Takashi Yamada; Masahide Ohmichi; Kazuhiro Yamamoto; Keigo Osuga
Journal:  BMC Cancer       Date:  2021-11-04       Impact factor: 4.430

5.  Adjuvant vaginal brachytherapy as a part of management in early endometrial cancer.

Authors:  Sylwia Kellas-Ślęczka; Piotr Wojcieszek; Brygida Białas
Journal:  J Contemp Brachytherapy       Date:  2012-12-28

6.  Promoter-level transcriptome in primary lesions of endometrial cancer identified biomarkers associated with lymph node metastasis.

Authors:  Emiko Yoshida; Yasuhisa Terao; Noriko Hayashi; Kaoru Mogushi; Atsushi Arakawa; Yuji Tanaka; Yosuke Ito; Hiroko Ohmiya; Yoshihide Hayashizaki; Satoru Takeda; Masayoshi Itoh; Hideya Kawaji
Journal:  Sci Rep       Date:  2017-10-26       Impact factor: 4.379

  6 in total

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