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.
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.
Authors: Carlos Parra-Herran; Jordan Lerner-Ellis; Bin Xu; Sam Khalouei; Dina Bassiouny; Matthew Cesari; Nadia Ismiil; Sharon Nofech-Mozes Journal: Mod Pathol Date: 2017-08-04 Impact factor: 7.842
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
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
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
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
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
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
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