| --- |
| license: cc-by-4.0 |
| task_categories: |
| - image-segmentation |
| tags: |
| - medical |
| - mri |
| - ct |
| - pet |
| - cervix |
| - cervical-cancer |
| - tumor-segmentation |
| - longitudinal |
| - chemoradiation |
| - rtstruct |
| - dicom |
| - tcia |
| pretty_name: TCIA Cervical Cancer (CC-Tumor-Heterogeneity) |
| size_categories: |
| - n<1K |
| --- |
| |
| # TCIA_CervicalCancer (CC-Tumor-Heterogeneity) |
| |
| Longitudinal multi-parametric MRI + 18F-FDG PET/CT collection of locally |
| advanced cervical cancer patients undergoing chemoradiation, with |
| radiation-oncologist tumor contours (RTSTRUCT) defined on T2-weighted MRI as |
| the gold standard. Each patient was imaged at three time points spanning the |
| chemoradiation course. |
| |
| ## Dataset Details |
| |
| | Field | Value | |
| |---|---| |
| | Modalities | MR (T1W, T2W, DCE, DWI), 18F-FDG PET, CT | |
| | Body part | Cervix / pelvis | |
| | Task | 3D tumor segmentation on T2W MRI (longitudinal) | |
| | Patients | 23 (CCTH-A01 … CCTH-A12, CCTH-B01 … CCTH-B11) | |
| | Time points | 3 per patient — Baseline (0 Gy) / Early (~20–25 Gy, 2–2.5 wk) / Mid-treatment (~45–50 Gy, 4–5 wk) | |
| | Studies | 171 | |
| | Series | 821 | |
| | Images | 131,556 DICOM slices | |
| | MR series | 523 (15.91 GB) | |
| | CT series | 65 (11.48 GB) | |
| | PET series | 68 (0.99 GB) | |
| | RTSTRUCT files | 68 (≈ 23 patients × 3 time points; CCTH-A06 has 2) | |
| | REG (registration) files | 97 | |
| | Format | DICOM (images) + DICOM RTSTRUCT (contours) + DICOM REG (registrations) | |
| | License | CC BY 4.0 | |
| |
| ## Segmentation |
| |
| Tumor contours are stored as DICOM **RTSTRUCT** files in `segmentations/`. |
| Each RTSTRUCT references a single MR T2W sagittal series via |
| `ReferencedFrameOfReferenceSequence → RTReferencedStudySequence → |
| RTReferencedSeriesSequence.SeriesInstanceUID` — that referenced series is the |
| image volume the contour is defined on. ROI names follow `Ut-MRT2-Sag-{1|2|3}` |
| where the trailing index matches the time point (1 = Baseline, 2 = Early, |
| 3 = Mid-treatment), and `StructureSetName` carries `Timepoint{1|2|3}`. |
| |
| The collection paper describes contours as **tumor volume only — no OARs and |
| no lymph nodes**, drawn by the study radiation oncologists with T2W MRI |
| chosen for its highest soft-tissue contrast for cervical tumor delineation. |
| |
| ## Structure |
| |
| ``` |
| images_mr/<PatientID>/<StudyInstanceUID>/<SeriesInstanceUID>/*.dcm # MR (T1W, T2W, DCE, DWI variants) |
| images_ct/<PatientID>/<StudyInstanceUID>/<SeriesInstanceUID>/*.dcm # CT |
| images_pt/<PatientID>/<StudyInstanceUID>/<SeriesInstanceUID>/*.dcm # PET |
| segmentations/<PatientID>/<StudyInstanceUID>/<SeriesInstanceUID>/*.dcm # RTSTRUCT (one per time point) |
| registrations/<PatientID>/<StudyInstanceUID>/<SeriesInstanceUID>/*.dcm # DICOM REG (PET/CT ↔ MR coregistration) |
| series_to_patient.json # series-level index |
| ``` |
| |
| `PatientID` ranges over `CCTH-A01..A12` and `CCTH-B01..B11`. `StudyDescription` |
| in each RTSTRUCT carries `MR1` / `MR2` / `MR3`, identifying the time point. |
| CCTH-B11 has no CT series; CCTH-A06 has 2 RTSTRUCTs (one time point missing). |
| |
| ## Source |
| |
| - TCIA collection: https://www.cancerimagingarchive.net/collection/cc-tumor-heterogeneity/ |
| - DOI: `10.7937/ERZ5-QZ59` |
| - License URL: https://creativecommons.org/licenses/by/4.0/ |
| - Released: 2023-01-20 (now fully public, no registration required) |
| |
| ## Citation |
| |
| ```bibtex |
| @misc{mayr2023ccth, |
| author = {Mayr, N. and Yuh, W. T. C. and Bowen, S. and Harkenrider, M. and |
| Knopp, M. V. and Lee, E. Y.-P. and Leung, E. and Lo, S. S. and |
| Small Jr., W. and Wolfson, A. H.}, |
| title = {Cervical Cancer -- Tumor Heterogeneity: Serial Functional and |
| Molecular Imaging Across the Radiation Therapy Course in |
| Advanced Cervical Cancer (Version 1) [Data set]}, |
| year = {2023}, |
| publisher = {The Cancer Imaging Archive}, |
| doi = {10.7937/ERZ5-QZ59} |
| } |
| |
| @article{bowen2017radiomic, |
| author = {Bowen, S. R. and Yuh, W. T. C. and Hippe, D. S. and Wu, W. and |
| Partridge, S. C. and Elias, S. and Jia, G. and Huang, Z. and |
| Sandison, G. A. and Nelson, D. and Knopp, M. V. and Lo, S. S. and |
| Kinahan, P. E. and Mayr, N. A.}, |
| title = {Tumor radiomic heterogeneity: Multiparametric functional imaging |
| to characterize variability and predict response following |
| cervical cancer radiation therapy}, |
| journal = {Journal of Magnetic Resonance Imaging}, |
| volume = {47}, |
| number = {5}, |
| pages = {1388--1396}, |
| year = {2017}, |
| doi = {10.1002/jmri.25874} |
| } |
| ``` |
| |
