Summary
Accurate pre-therapeutic imaging of the tumour and regional lymph nodes, is - in addition to clinical examination and assessment for distant metastases -essential for prognostication and guiding treatment. There is, however, currently a lack of consensus as to which staging modality should be considered as the gold standard for local staging of the tumour (T) and detection of lymph node involvement (N) Local and international guidelines (NCCN, ESMO/ESTRO) vary. On the other hand, nodal staging has been validated as an important independent prognostic factor in anal cancer [EORTC22861; RTOG9811] and the nodal stage as well as the precise location of involved lymph nodes (mesorectum, presacral space, internal iliac lymph nodes, external iliac lymph nodes, ischiorectal fossa, inguinal lymph nodes) has significant bearing on the planning of radiotherapy treatment especially when using more conformal techniques such as intensity modulated radiotherapy. Therefore it is essential that pre-treatment staging is optimised and standardised to provide accurate and reproducible information to guide treatment decision, development of radiotherapy atlases and clinical trial design.An expert panel of radiologist and radiation oncologists specialising in anal cancer identified by the Anal Staging Subgroup of the International Rare Cancer Incentive (IRCI) will be invited to participate. The panellists will be assigned into groups based on the geographical location and local practice. Each panellist will be provided with access to a series of anonymised datasets of patients with newly diagnosed anal cancer; either a combination of contrast enhanced computed tomography (CT) of the pelvis and Positron Emission Tomography (PET)/CT scans (Cases A1-30) OR a combination of contrast enhanced computer tomography (CT) of the pelvis and Magnetic Resonance Imaging (MRI) of the pelvis (Cases B1-30) and asked to provide a TNM stage as well as to identify sites of involved nodes (using a standardised proforma – Appendix1).
Acknowledgements
We would like to acknowledge the individuals and institutions that have provided data for this collection:
Hospital/Institution Name city, state, country - Special thanks to First Last Names, degree PhD, MD, etc from the Department of xxxxxx, Additional Names from same location.
- Continue with any names from additional submitting sites if collection consists of more than one.
Data Access
| Data Type | Download all or Query/Filter | License |
|---|---|---|
Images,(DICOM, XX.X GB) | (Download requires NBIA Data Retriever) | |
| Clinical data (CSV) |
Click the Versions tab for more info about data releases.
Additional Resources for this Dataset
The following external resources have been made available by the data submitters. These are not hosted or supported by TCIA, but may be useful to researchers utilizing this collection.
- Appendix - staging criteria
- Suggested DICOM viewers for measurements:
Detailed Description
Image Statistics | Radiology Image Statistics | Pathology Image Statistics |
|---|---|---|
Modalities | MR | |
Number of Patients | 30 | |
Number of Studies | 30 | |
Number of Series | ||
Number of Images | ||
| Images Size (GB) |
Citations & Data Usage Policy
Users must abide by the TCIA Data Usage Policy and Restrictions. Attribution should include references to the following citations:
Data Citation
Authors: Dr. Katarzyna (Kasia) Owczarczyk ; Prezzi D.; Dorothee Boisfwr ; Richard Adams ;Dr. Vicky Goh ;
Title: Expert Anal Cancer Consensus Staging (ExACt)
DOI: <coming soon>
License: Assume International Attribution by CC 4.0 Creative commons
Publication Citation
We ask on the proposal form if they have ONE traditional publication they'd like users to cite.
TCIA Citation
Clark, K., Vendt, B., Smith, K., Freymann, J., Kirby, J., Koppel, P., Moore, S., Phillips, S., Maffitt, D., Pringle, M., Tarbox, L., & Prior, F. (2013). The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository. In Journal of Digital Imaging (Vol. 26, Issue 6, pp. 1045–1057). Springer Science and Business Media LLC. https://doi.org/10.1007/s10278-013-9622-7
Other Publications Using This Data
TCIA maintains a list of publications which leverage TCIA data. If you have a manuscript you'd like to add please contact the TCIA Helpdesk.
Version X (Current): Updated yyyy/mm/dd
| Data Type | Download all or Query/Filter | License |
|---|---|---|
Images(DICOM, XX.X GB) | (Download requires the NBIA Data Retriever) | |
| Clinical data (CSV) |