High-risk factors and predictive models for hemorrhagic chronic radiation proctitis
Abstract Introduction Hemorrhagic chronic radiation proctitis (CRP) is a common and challenging complication after pelvic radiation therapy. Identifying high-risk factors, predicting its occurrence, and optimizing radiotherapy plans are key to preventing hemorrhagic CRP. This study retrospectively e...
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| Language: | English |
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BMC
2025-01-01
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| Series: | European Journal of Medical Research |
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| Online Access: | https://doi.org/10.1186/s40001-024-02266-9 |
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| author | Zhongli Liao Xiaogang Hu Liuling Hu Jian Yang |
| author_facet | Zhongli Liao Xiaogang Hu Liuling Hu Jian Yang |
| author_sort | Zhongli Liao |
| collection | DOAJ |
| description | Abstract Introduction Hemorrhagic chronic radiation proctitis (CRP) is a common and challenging complication after pelvic radiation therapy. Identifying high-risk factors, predicting its occurrence, and optimizing radiotherapy plans are key to preventing hemorrhagic CRP. This study retrospectively examined potential risk factors and developed a nomogram to predict its onset. Methods This retrospective study included cervical carcinoma patients who received pelvic radiotherapy at Chongqing University Cancer Hospital from March 2014 to December 2021. Hemorrhagic CRP was diagnosed by colonoscopy. Logistic regression identified factors for a nomogram model, which was evaluated using ROC curve, calibration curve, and decision curve analysis. Results Among 221 patients, 125 were diagnosed with hemorrhagic CRP, occurring at a median of 14.45 months after pelvic radiotherapy. Age (≥ 54 years), weight (< 52 kg), and radiation dose (≥ 72 Gy) were identified as risk factors. A nomogram was developed, with AUC values of 0.741 and 0.74 in the training and validation cohorts. Decision and clinical impact curves showed the model's benefit over a probability range of 0.25 to 0.85 in both sets. Conclusion In this study, we constructed and developed a nomogram for predicting hemorrhagic CRP risk. The good results in calibration curves, ROC curve analysis, and decision curves indicated that the nomogram had promise for clinical application. It may serve as a reference for radiologists in designing radiotherapy plan to help mitigate the risk of hemorrhagic CRP. |
| format | Article |
| id | doaj-art-76301cbd6cfe4e7298dec5f3f639bf4c |
| institution | Kabale University |
| issn | 2047-783X |
| language | English |
| publishDate | 2025-01-01 |
| publisher | BMC |
| record_format | Article |
| series | European Journal of Medical Research |
| spelling | doaj-art-76301cbd6cfe4e7298dec5f3f639bf4c2025-01-12T12:12:50ZengBMCEuropean Journal of Medical Research2047-783X2025-01-0130111110.1186/s40001-024-02266-9High-risk factors and predictive models for hemorrhagic chronic radiation proctitisZhongli Liao0Xiaogang Hu1Liuling Hu2Jian Yang3Department of Clinical Nutrition, The Third Affiliated Hospital of Chongqing Medical UniversityDepartment of Pharmacy, Jiulongpo People’s HospitalDepartment of Gastroenterology, Chongqing University Cancer HospitalDepartment of Clinical Nutrition, The Third Affiliated Hospital of Chongqing Medical UniversityAbstract Introduction Hemorrhagic chronic radiation proctitis (CRP) is a common and challenging complication after pelvic radiation therapy. Identifying high-risk factors, predicting its occurrence, and optimizing radiotherapy plans are key to preventing hemorrhagic CRP. This study retrospectively examined potential risk factors and developed a nomogram to predict its onset. Methods This retrospective study included cervical carcinoma patients who received pelvic radiotherapy at Chongqing University Cancer Hospital from March 2014 to December 2021. Hemorrhagic CRP was diagnosed by colonoscopy. Logistic regression identified factors for a nomogram model, which was evaluated using ROC curve, calibration curve, and decision curve analysis. Results Among 221 patients, 125 were diagnosed with hemorrhagic CRP, occurring at a median of 14.45 months after pelvic radiotherapy. Age (≥ 54 years), weight (< 52 kg), and radiation dose (≥ 72 Gy) were identified as risk factors. A nomogram was developed, with AUC values of 0.741 and 0.74 in the training and validation cohorts. Decision and clinical impact curves showed the model's benefit over a probability range of 0.25 to 0.85 in both sets. Conclusion In this study, we constructed and developed a nomogram for predicting hemorrhagic CRP risk. The good results in calibration curves, ROC curve analysis, and decision curves indicated that the nomogram had promise for clinical application. It may serve as a reference for radiologists in designing radiotherapy plan to help mitigate the risk of hemorrhagic CRP.https://doi.org/10.1186/s40001-024-02266-9Pelvic radiation therapyRadiation proctitisHigh-risk factorPredictive modelNomogram |
| spellingShingle | Zhongli Liao Xiaogang Hu Liuling Hu Jian Yang High-risk factors and predictive models for hemorrhagic chronic radiation proctitis European Journal of Medical Research Pelvic radiation therapy Radiation proctitis High-risk factor Predictive model Nomogram |
| title | High-risk factors and predictive models for hemorrhagic chronic radiation proctitis |
| title_full | High-risk factors and predictive models for hemorrhagic chronic radiation proctitis |
| title_fullStr | High-risk factors and predictive models for hemorrhagic chronic radiation proctitis |
| title_full_unstemmed | High-risk factors and predictive models for hemorrhagic chronic radiation proctitis |
| title_short | High-risk factors and predictive models for hemorrhagic chronic radiation proctitis |
| title_sort | high risk factors and predictive models for hemorrhagic chronic radiation proctitis |
| topic | Pelvic radiation therapy Radiation proctitis High-risk factor Predictive model Nomogram |
| url | https://doi.org/10.1186/s40001-024-02266-9 |
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