モリヤ　タクヤ   Takuya Moriya   森谷　卓也    所属   川崎医科大学  医学部    職種   学長付特任教授
論文種別	原著
言語種別	英語
査読の有無	査読あり
表題	Dataset for reporting of the invasive carcinoma of the breast: recommendations from the International Collaboration on Cancer Reporting (ICCR).
掲載誌名	正式名：Histopathology 略　 称：Histopathology ISSNコード：13652559/03090167
掲載区分	国外
巻・号・頁	pp.418-436
国際共著	国際共著
著者・共著者	Ian Ellis, Fleur Webster, Kimberly H Allison, Chau Dang, Helenice Gobbi, Janina Kulka, Sunil R Lakhani, Takuya Moriya, Cecily M Quinn, Anna Sapino, Stuart Schnitt, D Mark Sibbering, Elzbieta Slodkowska, Wentao Yang, Puay H Tan
発行年月	2024/05
概要	BACKGROUND AND OBJECTIVES:Current national or regional guidelines for the pathology reporting on invasive breast cancer differ in certain aspects, resulting in divergent reporting practice and a lack of comparability of data. Here we report on a new international dataset for the pathology reporting of resection specimens with invasive cancer of the breast. The dataset was produced under the auspices of the International Collaboration on Cancer Reporting (ICCR), a global alliance of major (inter-)national pathology and cancer organizations.METHODS AND RESULTS:The established ICCR process for dataset development was followed. An international expert panel consisting of breast pathologists, a surgeon, and an oncologist prepared a draft set of core and noncore data items based on a critical review and discussion of current evidence. Commentary was provided for each data item to explain the rationale for selecting it as a core or noncore element, its clinical relevance, and to highlight potential areas of disagreement or lack of evidence, in which case a consensus position was formulated. Following international public consultation, the document was finalized and ratified, and the dataset, which includes a synoptic reporting guide, was published on the ICCR website.CONCLUSIONS:This first international dataset for invasive cancer of the breast is intended to promote high-quality, standardized pathology reporting. Its widespread adoption will improve consistency of reporting, facilitate multidisciplinary communication, and enhance comparability of data, all of which will help to improve the management of invasive breast cancer patients.
DOI	10.1111/his.15191
PMID	38719547