The majority of ICCR Datasets scheduled to be developed will be in response to updates of the World Health Organization (WHO) Classification of Tumours or applicable staging system. However, additional datasets are scheduled where there are specific needs to be addressed and resources available.
The ICCR has developed two datasets for Skin:
- Merkel cell carcinoma
- Invasive melanoma - Second edition update
The public consultation period for the Skin datasets is now closed and the publication of these datasets is expected in the next two months.
The WHO Classification of Tumours ‘Blue book’ revisions for Endocrine neoplasms is now published and the ICCR has therefore developed a series of four datasets in this area:
The public consultation period for the Endocrine datasets is now closed, with publication expected at the end of 2019.
- Carcinomas of the Adrenal Cortex
- Phaeochromocytoma and Paraganglioma
- Carcinomas of the Thyroid
- Parathyroid Carcinomas & Atypical Parathyroid Neoplasms
The ICCR has commenced development of a series of five datasets for the digestive tract:
Public consultation is expected to be in late 2019.
- Carcinoma of the Exocrine pancreas
- Carcinoma of the Oesophagus
- Carcinoma of the Stomach
- Colorectal cancer
- Colorectal excisional biopsy (polypectomy)
The ICCR has commenced development of a series of three datasets for breast:
Public consultation is expected to be in early 2020.
- Invasive breast cancer
- Ductal carcinoma in situ (DCIS)
- Lymph node dissection/sentinel node biopsy
BONE AND SOFT TISSUE
In synchrony with the updates to the WHO classification of Tumours for Bone and Soft Tissue, the ICCR is in the process of planning the development of three datasets:
- Soft Tissue Sarcoma
- Gastrointestinal Stromal Tumours (GIST)
With the release of the 8th edition of TNM staging, impacted ICCR datasets have been updated - Lung, Endometrial, Thymic and Mesothelioma and posted to the website. Invasive cutaneous melanoma still requires an update to TNM8 and this will be undertaken in 2019 as part of the development of the Skin suite of datasets.