An automatic pipeline for temporal monitoring of radiotherapy-induced toxicities in head and neck cancer patients
Abstract Radiotherapy for head and neck cancer often causes a spectrum of toxicities. Such toxicities are usually unavailable as structured data and are reported within textual clinical reports. To reduce the burden of manual assessment of toxicities, we propose a language processing model for the a...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-02-01
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| Series: | npj Precision Oncology |
| Online Access: | https://doi.org/10.1038/s41698-025-00824-w |
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| author | Parsa Bagherzadeh Khalil Sultanem Gerald Batist Shirin Abbasinejad Enger |
| author_facet | Parsa Bagherzadeh Khalil Sultanem Gerald Batist Shirin Abbasinejad Enger |
| author_sort | Parsa Bagherzadeh |
| collection | DOAJ |
| description | Abstract Radiotherapy for head and neck cancer often causes a spectrum of toxicities. Such toxicities are usually unavailable as structured data and are reported within textual clinical reports. To reduce the burden of manual assessment of toxicities, we propose a language processing model for the automatic extraction of toxicities. The cohort consists of 384 patients with head and neck cancer who underwent radiotherapy, either as monotherapy or in combination with chemotherapy or surgery. A total of 3510 notes were extracted. The toxicities were then manually annotated. Two tasks of toxicity mention detection and toxicity extraction were defined. Pre-trained language models such as BERT, Clinical BioBERT, and Clinical Longformer were fine-tuned. Our best model achieves an F1 score of 90% for automatic extraction of toxicity mentions. An automatic system enables real-time extraction of toxicities and insights into their temporal patterns, offering actionable data to support dose optimization and minimize toxicities in personalized treatments. |
| format | Article |
| id | doaj-art-036ada916bad4b0387f484810ac378aa |
| institution | Kabale University |
| issn | 2397-768X |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | npj Precision Oncology |
| spelling | doaj-art-036ada916bad4b0387f484810ac378aa2025-02-09T12:09:25ZengNature Portfolionpj Precision Oncology2397-768X2025-02-01911910.1038/s41698-025-00824-wAn automatic pipeline for temporal monitoring of radiotherapy-induced toxicities in head and neck cancer patientsParsa Bagherzadeh0Khalil Sultanem1Gerald Batist2Shirin Abbasinejad Enger3Medical Physics Unit, Department of Oncology, McGill UniversityDepartment of Radiation Oncology, Hôpital Général JuifSegal Cancer CenterMedical Physics Unit, Department of Oncology, McGill UniversityAbstract Radiotherapy for head and neck cancer often causes a spectrum of toxicities. Such toxicities are usually unavailable as structured data and are reported within textual clinical reports. To reduce the burden of manual assessment of toxicities, we propose a language processing model for the automatic extraction of toxicities. The cohort consists of 384 patients with head and neck cancer who underwent radiotherapy, either as monotherapy or in combination with chemotherapy or surgery. A total of 3510 notes were extracted. The toxicities were then manually annotated. Two tasks of toxicity mention detection and toxicity extraction were defined. Pre-trained language models such as BERT, Clinical BioBERT, and Clinical Longformer were fine-tuned. Our best model achieves an F1 score of 90% for automatic extraction of toxicity mentions. An automatic system enables real-time extraction of toxicities and insights into their temporal patterns, offering actionable data to support dose optimization and minimize toxicities in personalized treatments.https://doi.org/10.1038/s41698-025-00824-w |
| spellingShingle | Parsa Bagherzadeh Khalil Sultanem Gerald Batist Shirin Abbasinejad Enger An automatic pipeline for temporal monitoring of radiotherapy-induced toxicities in head and neck cancer patients npj Precision Oncology |
| title | An automatic pipeline for temporal monitoring of radiotherapy-induced toxicities in head and neck cancer patients |
| title_full | An automatic pipeline for temporal monitoring of radiotherapy-induced toxicities in head and neck cancer patients |
| title_fullStr | An automatic pipeline for temporal monitoring of radiotherapy-induced toxicities in head and neck cancer patients |
| title_full_unstemmed | An automatic pipeline for temporal monitoring of radiotherapy-induced toxicities in head and neck cancer patients |
| title_short | An automatic pipeline for temporal monitoring of radiotherapy-induced toxicities in head and neck cancer patients |
| title_sort | automatic pipeline for temporal monitoring of radiotherapy induced toxicities in head and neck cancer patients |
| url | https://doi.org/10.1038/s41698-025-00824-w |
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