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


Journal

Human pathology
ISSN: 1532-8392
Titre abrégé: Hum Pathol
Pays: United States
ID NLM: 9421547

Informations de publication

Date de publication:
04 2021
Historique:
received: 28 09 2020
accepted: 03 10 2020
pubmed: 16 10 2020
medline: 7 9 2021
entrez: 15 10 2020
Statut: ppublish

Résumé

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 mm

Identifiants

pubmed: 33058949
pii: S0046-8177(20)30199-4
doi: 10.1016/j.humpath.2020.10.001
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

50-61

Informations de copyright

Copyright © 2020 Elsevier Inc. All rights reserved.

Auteurs

Thomas J Giordano (TJ)

Department of Pathology and Clinical Laboratories, University of Michigan, MI, 48109-5602, USA. Electronic address: giordano@med.umich.edu.

Daniel Berney (D)

Department of Cellular Pathology, The Royal London Hospital, Barts Health NHS Trust, London, E1 1BB, UK. Electronic address: Daniel.Berney@bartshealth.nhs.uk.

Ronald R de Krijger (RR)

Department of Pathology, University Medical Centre and Princess Maxima Centre for Pediatric Oncology, 3584 CS, Utrecht, the Netherlands. Electronic address: r.r.dekrijger@umcutrecht.nl.

Lori Erickson (L)

Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, 55905, USA. Electronic address: Erickson.Lori@mayo.edu.

Martin Fassnacht (M)

Department of Internal Medicine I, Division of Endocrinology and Diabetes, University Hospital, University of Würzburg, 97080 Würzburg, Germany. Electronic address: fassnacht_m@ukw.de.

Ozgur Mete (O)

Department of Pathology, Laboratory Medicine Program, University Health Network and University of Toronto, Toronto, Ontario, M5G 2M9, Canada. Electronic address: Ozgur.Mete2@uhn.ca.

Thomas Papathomas (T)

Institute of Metabolism and Systems Research, University of Birmingham, B15 2TT, England, UK. Electronic address: thomaspapathomas@nhs.net.

Mauro Papotti (M)

Department of Oncology, University of Turin at Molinette Hospital, Turin, Italy. Electronic address: mauro.papotti@unito.it.

Hironobu Sasano (H)

Department of Pathology, Tohoku University School of Medicine, Sendai, Japan. Electronic address: hsasano@patholo2.med.tohoku.ac.jp.

Lester D R Thompson (LDR)

Southern California Permanente Medical Group, Woodland Hills Medical Center, Woodland Hills, CA, 91364, USA. Electronic address: Lester.D.Thompson@kp.org.

Marco Volante (M)

Department of Oncology, University of Turin at San Luigi Hospital, Orbassano, Turin, Italy. Electronic address: marco.volante@unito.it.

Anthony J Gill (AJ)

University of Sydney, Sydney, New South Wales, 2006, Australia; Cancer Diagnosis and Pathology Group Kolling Institute of Medical Research, Royal North Shore Hospital, St Leonards, NSW, 2065, Australia; NSW Health Pathology, Department of Anatomical Pathology, Royal North Shore Hospital, St Leonards, NSW, 2065, Australia. Electronic address: affgill@med.usyd.edu.au.

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Classifications MeSH