Luong, Tu Vinh;
Watkins, Jennifer;
Chakrabarty, Bipasha;
Wang, Lai Mun;
(2019)
Dataset for histopathological reporting of neuroendocrine neoplasms of the gastroenteropancreatic tract.
[Digital scholarly resource].
https://www.rcpath.org/uploads/assets/f5fb75c6-77c...
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Abstract
The cancer datasets published by the Royal College of Pathologists (RCPath) are a combination of textual guidance, educational information and reporting proformas. The datasets enable pathologists to grade and stage cancers in an accurate, consistent manner in compliance with international standards and provide prognostic information, thereby allowing clinicians to provide a high standard of care for patients and appropriate management for specific clinical circumstances. This guideline has been developed to cover most common circumstances. However, we recognise that guidelines cannot anticipate every pathological specimen type and clinical scenario. Occasional variation from the practice recommended in this guideline may therefore be required to report a specimen in a way that maximises benefit to the patient.
| Type: | Digital scholarly resource |
|---|---|
| Title: | Dataset for histopathological reporting of neuroendocrine neoplasms of the gastroenteropancreatic tract |
| Open access status: | An open access version is available from UCL Discovery |
| Publisher version: | https://www.rcpath.org/uploads/assets/f5fb75c6-77c... |
| Language: | English |
| Additional information: | © 2019, The Royal College of Pathologists. This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Histopathology, Neuroendocrine Tumours |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10160122 |
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