Data Set for the Reporting of Ovarian, Fallopian Tube and Primary Peritoneal Carcinoma: Recommendations From the International Collaboration on Cancer Reporting (ICCR). (24th November 2022)

• Record Type: Journal Article
• Authors: Gilks, C. Blake; Selinger, Christina I.; Davidson, Ben; Köbel, Martin; Ledermann, Jonathan A.; Lim, Diana; Malpica, Anais; Mikami, Yoshiki; Singh, Naveena; Srinivasan, Radhika; Vang, Russell; Lax, Sigurd F.; McCluggage, W. Glenn
• Is Part Of: International journal of gynecological pathology. Volume 41(2022)Supplement 6
• Page Start: S119
• Page End: S142
• Publication Date: 2022-11-24
• Subjects: Data set -- Protocol -- Tumor classification -- Structured report -- Synoptic report -- ICCR; Gynecologic pathology -- Periodicals; Gynecology -- Periodicals; Generative organs, Female -- Diseases -- Periodicals; 618.10705
• DOI: 10.1097/PGP.0000000000000908
• Languages: English
• ISSNs: 0277-1691

Abstract

Abstract : The move toward consistent and comprehensive surgical pathology reports for cancer resection specimens has been a key development in supporting evidence-based patient management and consistent cancer staging. The International Collaboration on Cancer Reporting (ICCR) previously developed a data set for reporting of the ovarian, fallopian tube and primary peritoneal carcinomas which was published in 2015. In this paper, we provide an update on this data set, as a second edition, that reflects changes in the 2020 World Health Organization (WHO) Classification of Female Genital Tumours as well as some other minor modifications. The data set has been developed by a panel of internationally recognized expert pathologists and a clinician and consists of "core" and "noncore" elements to be included in surgical pathology reports, with detailed commentary to guide users, including references. This data set replaces the widely used first edition, and will facilitate consistent and accurate case reporting, data collection for quality assurance and research, and allow for comparison of epidemiological and pathologic parameters between different populations.