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. Nodal staging has been validated as an important independent prognostic factor [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) informs the planning of radiotherapy treatment especially when using more conformal techniques such as intensity modulated radiotherapy. It is therefore essential to optimize and standardize pre-treatment imaging to provide accurate and reproducible information to guide treatment decision, development of radiotherapy atlases and clinical trial design.Whereas there currently exist 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), the use of multi-parametric Magnetic Resonance Imaging (MRI) of the pelvis has been endorsed by international guidelines (NCCN, ESMO/ESTRO).
An expert panel of radiologist and radiation oncologists with expertise in anal cancer diagnosis and treatment identified by the Anal Staging Subgroup of the International Rare Cancer Incentive (IRCI) will be invited to participate. The panelists will be assigned into groups based on the geographical location and local practice. Each panelist will be provided with access to a series of anonymized MRI datasets of patients with newly diagnosed anal cancer 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:
- Guy’s and St Thomas’ Hospital in London, United Kingdom
- Special thanks to Dr Kasia Owczarczyk, MD from the Department of Radiotherapy,
- Adrian Green, Dr Davide Prezzi and Professor Vicky Goh, from the Department of Cancer Imaging
- Professor Richard Adams, Velindre Cancer Centre, Cardiff, Wales
Data Access
| Data Type | Download all or Query/Filter | License |
|---|---|---|
Images,(DICOM, 1.6 GB) | (Download requires NBIA Data Retriever) | TCIA Restricted |
| Clinical data (CSV) | TCIA Restricted |
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 |
|---|---|
Modalities | MR |
Number of Patients | 30 |
Number of Studies | 30 |
Number of Series | 179 |
Number of Images | 6,400 |
| Images Size (GB) | 1.6 |
Note that some MR imaging sequences are missing from Patient ID 02, 04, 09, 10, 15, 25, and 26. Potential replacements were found in imaging from different people, who currently have the identifiers 9b, 10b, 15b, 25b, and 26b. They are unrelated.
Each case was selected for the presence of MRI sequences like these:
- T2w TSE sagittal [T2-w sagittal turbo spin echo (TSE) sequence covering the pelvis]
- T1w TSE axial [sequence for pelvic nodal detection]
- T2-w TSE axial [sequence of the pelvis]
- T2w TSE sFOV [high-resolution small-field-of-view T2-w TSE sequences perpendicular and parallel to the anal canal]
- DWI [single shot spin echo-echo planar imaging DWI]
- ADC parametric map [apparent diffusion coefficient (ADC) maps]
Citations & Data Usage Policy
Users must abide by the TCIA Data Usage Policy and Restrictions. Attribution should include references to the following citations:
Please contact help@cancerimagingarchive.net to request access.Data Citation
Owczarczyk K., Prezzi D., Boisfwr D., Adams, R., Goh, V. (2023) Expert Anal Cancer Consensus Staging (ExACt) [Dataset]. The Cancer Imaging Archive. https://doi.org/10.7937/2023.na2x-j031
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). https://doi.org/10.1007/s10278-013-9622-7
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Version 1 (Current): Updated yyyy/mm/dd
| Data Type | Download all or Query/Filter | License |
|---|---|---|
Images (DICOM 1.9 GB) | (Download requires the NBIA Data Retriever) | TCIA Restricted |
| Clinical data (CSV) | TCIA Restricted |