| --- |
| license: cc-by-4.0 |
| task_categories: |
| - image-segmentation |
| tags: |
| - medical |
| - ct |
| - adrenal |
| - adrenocortical-carcinoma |
| - ki-67 |
| - tumor-segmentation |
| - dicom |
| - tcia |
| pretty_name: Adrenal-ACC-Ki67-Seg |
| size_categories: |
| - n<1K |
| dataset_info: |
| features: |
| - name: patient_id |
| dtype: string |
| - name: study_uid |
| dtype: string |
| - name: ct_series_uid |
| dtype: string |
| - name: seg_series_uid |
| dtype: string |
| - name: num_ct_slices |
| dtype: int32 |
| - name: slice_index |
| dtype: int32 |
| - name: tumor_voxels |
| dtype: int64 |
| - name: image |
| dtype: image |
| - name: mask |
| dtype: image |
| - name: overlay |
| dtype: image |
| splits: |
| - name: preview |
| num_bytes: 14238577 |
| num_examples: 53 |
| download_size: 14247684 |
| dataset_size: 14238577 |
| configs: |
| - config_name: default |
| data_files: |
| - split: preview |
| path: data/preview-* |
| --- |
| |
| # Adrenal-ACC-Ki67-Seg |
|
|
| Voxel-level segmentation of pathologically-proven Adrenocortical Carcinoma (ACC) |
| tumors on contrast-enhanced CT, with matched Ki-67 proliferation-marker labels. |
|
|
| ## Dataset Details |
|
|
| | Field | Value | |
| |---|---| |
| | Modality | CT (contrast-enhanced) | |
| | Body part | Abdomen — adrenal gland (tumor) | |
| | Task | 3D binary tumor segmentation | |
| | Patients | 53 | |
| | Studies | 65 | |
| | CT series | 124 | |
| | SEG series | 53 (one per patient) | |
| | Images | 18,255 DICOM slices | |
| | Format | DICOM (images) + DICOM SEG (segmentations) + XLSX (clinical) | |
| | License | CC BY 4.0 | |
|
|
| No predefined train/val/test split — single cohort of 53 patients with |
| pathologically confirmed ACC imaged between 2006 and 2018. Tumor volumes |
| range from 2.6 to 7,864 cm³ (median ~177 cm³). |
|
|
| ## Structure |
|
|
| ``` |
| images/<PatientID>/<StudyInstanceUID>/<SeriesInstanceUID>/*.dcm |
| segmentations/<PatientID>/<StudyInstanceUID>/<SeriesInstanceUID>/*.dcm |
| Adrenal-ACC-Ki67-Seg_SupportingData_20230522.xlsx # clinical & Ki-67 data |
| series_to_patient.json # series-level metadata index |
| ``` |
|
|
| Segmentation DICOMs are DICOM SEG objects and reference their source CT series |
| via DICOM metadata. Clinical metadata (demographics, Ki-67 index, follow-up, |
| tumor measurements) is provided in the XLSX spreadsheet. |
|
|
| ## Source |
|
|
| - TCIA collection: https://www.cancerimagingarchive.net/collection/adrenal-acc-ki67-seg/ |
| - DOI: `10.7937/1FPG-VM46` |
|
|
| ## Citation |
|
|
| ```bibtex |
| @article{ahmed2020radiomic, |
| author = {Ahmed, Ahmed A. and Elmohr, Mohab M. and Fuentes, David and |
| Habra, Mouhammed A. and Fisher, Sarah B. and Perrier, Nancy D. and |
| Zhang, Meng and Elsayes, Khaled M.}, |
| title = {Radiomic mapping model for prediction of Ki-67 expression in |
| adrenocortical carcinoma}, |
| journal = {Clinical Radiology}, |
| volume = {75}, |
| number = {6}, |
| pages = {479.e17--479.e22}, |
| year = {2020}, |
| doi = {10.1016/j.crad.2020.01.012} |
| } |
| |
| @misc{adrenalacc2022tcia, |
| author = {Ahmed, A. A. and Elmohr, M. M. and Fuentes, D. and |
| Habra, M. A. and Fisher, S. B. and Perrier, N. D. and |
| Zhang, M. and Elsayes, K. M.}, |
| title = {Adrenal-ACC-Ki67-Seg [Dataset]}, |
| year = {2022}, |
| publisher = {The Cancer Imaging Archive}, |
| doi = {10.7937/1FPG-VM46} |
| } |
| ``` |
|
|
