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license: cc-by-4.0
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# RR-Findings: Chest CT Findings Labels for Japanese Radiology Reports

**RR-Findings** is a labeled dataset of Japanese chest CT radiology reports derived from the
**MedNLP-SC Radiology Report TNM Staging (RR-TNM) Dataset**, released as part of the NTCIR-17 MedNLP-SC shared task.

A total of 243 Japanese radiology reports (covering 27 lung cancer cases, annotated independently by nine board-certified radiologists) were further enriched with multi-label chest CT findings assigned by radiology residents.
All labels follow the schema of the CT-RATE dataset.

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## Labels

Each report is annotated with 18 clinically relevant chest CT findings:

```
Medical material  
Arterial wall calcification  
Cardiomegaly  
Pericardial effusion  
Coronary artery wall calcification  
Hiatal hernia  
Lymphadenopathy  
Emphysema  
Atelectasis  
Lung nodule  
Lung opacity  
Pulmonary fibrotic sequela  
Pleural effusion  
Mosaic attenuation pattern  
Peribronchial thickening  
Consolidation  
Bronchiectasis  
Interlobular septal thickening
```

The labeling schema is based on CT-RATE:
[https://huggingface.co/datasets/ibrahimhamamci/CT-RATE](https://huggingface.co/datasets/ibrahimhamamci/CT-RATE)

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## Source Dataset

RR-Findings is built upon:

**MedNLP-SC Radiology Report TNM Staging (RR-TNM) Dataset**
NTCIR-17 MedNLP-SC Shared Task
243 PHI-free Japanese radiology reports
[https://sociocom.naist.jp/download/mednlp-sc-rr-tnm/](https://sociocom.naist.jp/download/mednlp-sc-rr-tnm/)

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## Related Research and Citation

This dataset was developed as part of the following study:

```
Yosuke Yamagishi, Tomohiro Kikuchi, Shouhei Hanaoka, Takeharu Yoshikawa, Osamu Abe.
ModernBERT is More Efficient than Conventional BERT for Chest CT Findings Classification in Japanese Radiology Reports.
arXiv:2503.05060 (2025).
https://arxiv.org/abs/2503.05060
```

If you use this dataset in your research or publication, please cite the paper above.

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## License

**CC BY 4.0**
You may use, modify, and redistribute the dataset with appropriate attribution.