Literature DB >> 24329781

Ovarian carcinoma histotype determination is highly reproducible, and is improved through the use of immunohistochemistry.

Martin Köbel1, Julia Bak, Björn I Bertelsen, Olli Carpen, Anni Grove, Estrid S Hansen, Anne-Marie Levin Jakobsen, Marianne Lidang, Anna Måsbäck, Anna Tolf, C Blake Gilks, Joseph W Carlson.   

Abstract

AIMS: To assess the variation in ovarian carcinoma type diagnosis among gynaecological pathologists from Nordic countries, and whether a rationally designed panel of immunohistochemical markers could improve diagnostic reproducibility. METHODS AND
RESULTS: Eight pathologists from four countries (Sweden, Denmark, Norway, and Finland) received an educational lecture on the diagnosis of ovarian carcinoma type. All tumour-containing slides from 54 ovarian carcinoma cases were independently reviewed by the participants, who: (i) determined type purely on the basis of histology; (ii) indicated whether they would apply immunohistochemistry in their routine practice; and (iii) determined type after reviewing the staining results. The results for six markers (WT1, p53, p16, HNF-1β, ARID1A, and progesterone receptor) were determined for all 54 cases, by staining of a tissue microarray. The median concordance with central review diagnosis was 86%, and significantly improved to 90% with the incorporation of immunostaining results (P = 0.0002). The median interobserver agreement was 78%, and significantly improved to 85% with the incorporation of immunostaining results (P = 0.0002).
CONCLUSIONS: Use of the immunostaining results significantly improved both diagnostic accuracy and interobserver agreement. These results indicate that ovarian carcinoma type can be reliably diagnosed by pathologists from different countries, and also demonstrate that immunohistochemistry has an important role in improving diagnostic accuracy and agreement between pathologists.
© 2013 John Wiley & Sons Ltd.

Entities:  

Keywords:  clear cell adenocarcinoma; cystic neoplasm; endometrioid carcinoma; mucinous neoplasm; ovary; reproducibility of results; serous neoplasm

Mesh:

Substances:

Year:  2014        PMID: 24329781     DOI: 10.1111/his.12349

Source DB:  PubMed          Journal:  Histopathology        ISSN: 0309-0167            Impact factor:   5.087


  35 in total

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Journal:  Mod Pathol       Date:  2017-08-04       Impact factor: 7.842

Review 2.  [Morphology of secondary ovarian tumors and metastases].

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Journal:  Pathologe       Date:  2014-07       Impact factor: 1.011

3.  CT texture analysis in histological classification of epithelial ovarian carcinoma.

Authors:  He An; Yiang Wang; Esther M F Wong; Shanshan Lyu; Lujun Han; Jose A U Perucho; Peng Cao; Elaine Y P Lee
Journal:  Eur Radiol       Date:  2021-01-06       Impact factor: 5.315

4.  The diagnostic role of PTEN and ARID1A in serous effusions.

Authors:  Ben Davidson; Maurizio Pinamonti; Dolors Cuevas; Arild Holth; Pio Zeppa; Thomas Hager; Jeremias Wohlschlaeger; Martin Tötsch
Journal:  Virchows Arch       Date:  2017-11-24       Impact factor: 4.064

5.  Molecular Classification of Epithelial Ovarian Cancer Based on Methylation Profiling: Evidence for Survival Heterogeneity.

Authors:  Clara Bodelon; J Keith Killian; Joshua N Sampson; William F Anderson; Rayna Matsuno; Louise A Brinton; Jolanta Lissowska; Michael S Anglesio; David D L Bowtell; Jennifer A Doherty; Susan J Ramus; Aline Talhouk; Mark E Sherman; Nicolas Wentzensen
Journal:  Clin Cancer Res       Date:  2019-05-29       Impact factor: 12.531

6.  Histotype classification of ovarian carcinoma: A comparison of approaches.

Authors:  Lauren C Peres; Kara L Cushing-Haugen; Michael Anglesio; Kristine Wicklund; Rex Bentley; Andrew Berchuck; Linda E Kelemen; Tayyebeh M Nazeran; C Blake Gilks; Holly R Harris; David G Huntsman; Joellen M Schildkraut; Mary Anne Rossing; Martin Köbel; Jennifer A Doherty
Journal:  Gynecol Oncol       Date:  2018-08-16       Impact factor: 5.482

7.  Morphologic and Molecular Characteristics of Mixed Epithelial Ovarian Cancers.

Authors:  Robertson Mackenzie; Aline Talhouk; Sima Eshragh; Sherman Lau; Daphne Cheung; Christine Chow; Nhu Le; Linda S Cook; Nafisa Wilkinson; Jacqueline McDermott; Naveena Singh; Friedrich Kommoss; Jacobus Pfisterer; David G Huntsman; Martin Köbel; Stefan Kommoss; C Blake Gilks; Michael S Anglesio
Journal:  Am J Surg Pathol       Date:  2015-11       Impact factor: 6.394

8.  Ovarian Carcinoma Histotype: Strengths and Limitations of Integrating Morphology With Immunohistochemical Predictions.

Authors:  Martin Köbel; Li Luo; Xin Grevers; Sandra Lee; Angela Brooks-Wilson; C Blake Gilks; Nhu D Le; Linda S Cook
Journal:  Int J Gynecol Pathol       Date:  2019-07       Impact factor: 2.762

9.  Histopathological features of endometrial carcinomas associated with POLE mutations: implications for decisions about adjuvant therapy.

Authors:  Salwa Bakhsh; Mary Kinloch; Lien N Hoang; Robert A Soslow; Martin Köbel; Cheng-Han Lee; Jessica N McAlpine; Melissa K McConechy; C Blake Gilks
Journal:  Histopathology       Date:  2015-12-17       Impact factor: 5.087

10.  Inter-pathologist and pathology report agreement for ovarian tumor characteristics in the Nurses' Health Studies.

Authors:  Mollie E Barnard; Alexander Pyden; Megan S Rice; Miguel Linares; Shelley S Tworoger; Brooke E Howitt; Emily E Meserve; Jonathan L Hecht
Journal:  Gynecol Oncol       Date:  2018-07-09       Impact factor: 5.482

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