Data set for reporting of carcinoma of the adrenal cortex: explanations and recommendations of the guidelines from the International Collaboration on Cancer Reporting

Thomas J. Giordano, Daniel Berney, Ronald R. de Krijger, Lori Erickson, Martin Fassnacht, Ozgur Mete, Thomas Papathomas, Mauro Papotti, Hironobu Sasano, Lester D.R. Thompson, Marco Volante, Anthony J. Gill

Onderzoeksoutput: Bijdrage aan tijdschriftArtikelpeer review

10 Citaten (Scopus)

Samenvatting

Complete resection of adrenal cortical carcinoma (ACC) with or without adjuvant therapy offers the best outcome. Recurrence is common, and in individual cases, the long-term outcome is difficult to predict, making it challenging to personalize treatment options. Current risk stratification approaches are based on clinical and conventional surgical pathology assessment. Rigorous and uniform pathological assessment may improve care for individual patients and facilitate multi-institutional collaborative studies. The International Collaboration on Cancer Reporting (ICCR) convened an expert panel to review ACC pathology reporting. Consensus recommendations were made based on the most recent literature and expert opinion. The data set comprises 23 core (required) items. The core pathological features include the following: diagnosis as per the current World Health Organization classification, specimen integrity, greatest dimension, weight, extent of invasion, architecture, percentage of lipid-rich cells, capsular invasion, lymphatic invasion, vascular invasion, atypical mitotic figures, coagulative necrosis, nuclear grade, mitotic count, Ki-67 proliferative index, margin status, lymph node status, and pathological stage. Tumors were dichotomized into low-grade (<20 mitoses per 10 mm2) and high-grade (>20 mitoses per 10 mm2) ones. Additional noncore elements that may be useful in individual cases included several multifactorial risk assessment systems (Weiss, modified Weiss, Lin-Weiss-Bisceglia, reticulin, Helsinki, and Armed Forces Institute of Pathology scores/algorithms). This data set is now available through the ICCR website with the hope of better standardizing pathological assessment of these relatively rare but important malignancies.

Originele taal-2Engels
Pagina's (van-tot)50-61
Aantal pagina's12
TijdschriftHuman Pathology
Volume110
DOI's
StatusGepubliceerd - apr. 2021

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