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license: cc-by-4.0 |
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# RR-Findings: Chest CT Findings Labels for Japanese Radiology Reports |
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**RR-Findings** is a labeled dataset of Japanese chest CT radiology reports derived from the |
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**MedNLP-SC Radiology Report TNM Staging (RR-TNM) Dataset**, released as part of the NTCIR-17 MedNLP-SC shared task. |
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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. |
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All labels follow the schema of the CT-RATE dataset. |
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--- |
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## Labels |
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Each report is annotated with 18 clinically relevant chest CT findings: |
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``` |
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Medical material |
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Arterial wall calcification |
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Cardiomegaly |
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Pericardial effusion |
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Coronary artery wall calcification |
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Hiatal hernia |
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Lymphadenopathy |
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Emphysema |
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Atelectasis |
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Lung nodule |
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Lung opacity |
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Pulmonary fibrotic sequela |
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Pleural effusion |
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Mosaic attenuation pattern |
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Peribronchial thickening |
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Consolidation |
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Bronchiectasis |
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Interlobular septal thickening |
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``` |
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The labeling schema is based on CT-RATE: |
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[https://huggingface.co/datasets/ibrahimhamamci/CT-RATE](https://huggingface.co/datasets/ibrahimhamamci/CT-RATE) |
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--- |
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## Source Dataset |
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RR-Findings is built upon: |
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**MedNLP-SC Radiology Report TNM Staging (RR-TNM) Dataset** |
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NTCIR-17 MedNLP-SC Shared Task |
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243 PHI-free Japanese radiology reports |
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[https://sociocom.naist.jp/download/mednlp-sc-rr-tnm/](https://sociocom.naist.jp/download/mednlp-sc-rr-tnm/) |
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--- |
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## Related Research and Citation |
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This dataset was developed as part of the following study: |
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``` |
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Yosuke Yamagishi, Tomohiro Kikuchi, Shouhei Hanaoka, Takeharu Yoshikawa, Osamu Abe. |
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ModernBERT is More Efficient than Conventional BERT for Chest CT Findings Classification in Japanese Radiology Reports. |
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arXiv:2503.05060 (2025). |
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https://arxiv.org/abs/2503.05060 |
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``` |
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If you use this dataset in your research or publication, please cite the paper above. |
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--- |
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## License |
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**CC BY 4.0** |
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You may use, modify, and redistribute the dataset with appropriate attribution. |
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