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README.md
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---
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license: cc-by-4.0
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task_categories:
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- image-segmentation
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tags:
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- medical
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- ct
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- adrenal
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- adrenocortical-carcinoma
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- ki-67
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- tumor-segmentation
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- dicom
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- tcia
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pretty_name: Adrenal-ACC-Ki67-Seg
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size_categories:
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- n<1K
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---
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# Adrenal-ACC-Ki67-Seg
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Voxel-level segmentation of pathologically-proven Adrenocortical Carcinoma (ACC)
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tumors on contrast-enhanced CT, with matched Ki-67 proliferation-marker labels.
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## Dataset Details
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| Field | Value |
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|---|---|
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| Modality | CT (contrast-enhanced) |
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| Body part | Abdomen — adrenal gland (tumor) |
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| Task | 3D binary tumor segmentation |
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| Patients | 53 |
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| Studies | 65 |
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| CT series | 124 |
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| SEG series | 53 (one per patient) |
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| Images | 18,255 DICOM slices |
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| Format | DICOM (images) + DICOM SEG (segmentations) + XLSX (clinical) |
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| License | CC BY 4.0 |
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No predefined train/val/test split — single cohort of 53 patients with
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pathologically confirmed ACC imaged between 2006 and 2018. Tumor volumes
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range from 2.6 to 7,864 cm³ (median ~177 cm³).
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## Structure
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```
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images/<PatientID>/<StudyInstanceUID>/<SeriesInstanceUID>/*.dcm
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segmentations/<PatientID>/<StudyInstanceUID>/<SeriesInstanceUID>/*.dcm
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Adrenal-ACC-Ki67-Seg_SupportingData_20230522.xlsx # clinical & Ki-67 data
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series_to_patient.json # series-level metadata index
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```
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Segmentation DICOMs are DICOM SEG objects and reference their source CT series
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via DICOM metadata. Clinical metadata (demographics, Ki-67 index, follow-up,
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tumor measurements) is provided in the XLSX spreadsheet.
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## Source
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- TCIA collection: https://www.cancerimagingarchive.net/collection/adrenal-acc-ki67-seg/
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- DOI: `10.7937/1FPG-VM46`
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## Citation
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```bibtex
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@article{ahmed2020radiomic,
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author = {Ahmed, Ahmed A. and Elmohr, Mohab M. and Fuentes, David and
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Habra, Mouhammed A. and Fisher, Sarah B. and Perrier, Nancy D. and
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Zhang, Meng and Elsayes, Khaled M.},
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title = {Radiomic mapping model for prediction of Ki-67 expression in
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adrenocortical carcinoma},
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journal = {Clinical Radiology},
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volume = {75},
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number = {6},
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pages = {479.e17--479.e22},
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year = {2020},
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doi = {10.1016/j.crad.2020.01.012}
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}
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@misc{adrenalacc2022tcia,
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author = {Ahmed, A. A. and Elmohr, M. M. and Fuentes, D. and
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Habra, M. A. and Fisher, S. B. and Perrier, N. D. and
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Zhang, M. and Elsayes, K. M.},
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title = {Adrenal-ACC-Ki67-Seg [Dataset]},
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year = {2022},
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publisher = {The Cancer Imaging Archive},
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doi = {10.7937/1FPG-VM46}
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}
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```
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