add readme (#5)
Browse files- add readme (c8454d79a09ac9444aa69b4b7c426397b587f23e)
README.md
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# TCGA-PRAD Biochemical Recurrence Dataset
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This dataset was curated as part of a research project aimed at predicting biochemical recurrence (BCR) in prostate cancer directly from H&E-stained prostatectomy specimens.
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Based on the **TCGA Prostate Adenocarcinoma (TCGA-PRAD)** cohort, we provides curated labels for biochemical recurrence along with packed diagnostic whole-slide images and corresponding tissue masks.
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## 📂 Repository Structure
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The dataset is organized into the following folders and files:
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`whole-slide-images/`
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- Packed WSIs for the **298 TCGA-PRAD patients** included in our study in `.tif` format
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`tissue-masks/`
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- Corresponding binary tissue segmentation masks, also in `.tif` format (`0 = background`, `1 = tissue`)
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`biotab-xml/`
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- Original **case-specific biotab XML files** for **403 TCGA-PRAD patients** with at least one diagnostic slide.
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- Used for extracting BCR status and metadata.
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`metadata.csv`
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- metadata prased from biotab XML files for all the **403 TCGA-PRAD patients** with diagnostic slides.
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`bcr.csv`
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- Curated biochemical recurrence labels for the **298 TCGA-PRAD patients** included in our study
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- `case_id`: TCGA case ID
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- `event`: `1` if biochemical recurrence occurred, `0` otherwise
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- `follow_up_y`: Time to event (if `event=1`) or time to last follow-up (if `event=0`), in **years**
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## 🧬 Label Curation Process
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Biochemical recurrence labels were curated from the biotab XML files, based on the following logic:
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- **Event = 1 (Biochemical Recurrence):**
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- `biochemical_recurrence_indicator = YES`, using `days_to_biochemical_recurrence_first` as time to event.
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- OR `new_tumor_event_type = "Biochemical evidence of disease"` with available `new_tumor_event_dx_days_to`.
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- **Event = 0 (No Recurrence):**
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- `biochemical_recurrence_indicator = NO` and no tumor event indicating recurrence.
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- Time to last follow-up taken from `last_contact_days_to`.
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Patients with incomplete or contradictory information were excluded (105 patients).
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## 🧾 Citation
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If you use this dataset in your research, please cite:
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> to be added soon
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## 🔒 License
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This dataset is derived from **TCGA**, which is distributed under the [TCGA Data Use Certification](https://www.cancer.gov/about-nci/organization/ccg/research/structural-genomics/tcga/history/policies).
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Redistribution of image data is permitted for academic and non-commercial research purposes only.
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---
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tags:
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- medical
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- histology
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- tcga
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size_categories:
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- n<1K
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---
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