ArticleFrontiers in immunology2022
Potential Determinants for Radiation-Induced Lymphopenia in Patients With Breast Cancer Using Interpretable Machine Learning Approach.
Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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15 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.
- Synergies between radiotherapy and immunotherapy: a systematic review from mechanism to clinical application.Frontiers in immunology · 2025Pooled it
- The impact of effective dose to the immune cells on survival in breast cancer patients.Clinical and translational radiation oncology · 2026Article
- Reducing low-dose exposure in helical TomoTherapy for locally advanced left-sided breast cancer with a deformable image registration-based dose-mimicking workflow.Journal of applied clinical medical physics · 2026Article
- Normal tissue complication probability modeling of severe radiation-induced lymphopenia using blood dose for lung cancer patients treated with IMRT and IMPT.Frontiers in immunology · 2026Article
- Utilizing machine learning models for predicting outcomes in acute pancreatitis: development and validation in three retrospective cohorts.BMC medical informatics and decision making · 2025Article
- Longitudinal Analyses and Predictive Factors of Radiation-Induced Lymphopenia After Postmastectomy Hypofractionated Radiation Therapy for Breast Cancer: A Pooled Cohort Study of 2 Prospective Trials.Advances in radiation oncology · 2025Article
- Influencing factors of lymphopenia after conventional fractionated whole-breast radiotherapy following breast-conserving surgery for early breast cancer: a retrospective study.Frontiers in oncology · 2025Article
- Sustained lymphocyte decreases after treatment for early breast cancer.NPJ breast cancer · 2024Article
- Explainable artificial intelligence in breast cancer detection and risk prediction: A systematic scoping review.Cancer innovation · 2024Article
- Lymphopenia associated with whole-brain radiotherapy and its effects on clinical outcomes of patients with brain metastases.Scientific reports · 2024Article
- Integrative prediction model for radiation pneumonitis incorporating genetic and clinical-pathological factors using machine learning.Clinical and translational radiation oncology · 2024Article
- Lymphocytopenia following adjuvant radiotherapy for breast cancer.Precision radiation oncology · 2024Article
- Risk Factors and Prediction of 28-Day-All Cause Mortality Among Critically Ill Patients with Acute Pancreatitis Using Machine Learning Techniques: A Retrospective Analysis of Multi-Institutions.Journal of inflammation research · 2024Article
- Review
- Dosimetric Effect of Thymus on Radiation-Induced Lymphopenia in Breast Cancer Patients Who Received Adjuvant Radiotherapy.Dose-response : a publication of International Hormesis SocietyArticle
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Authors and funding
8 authors at 5 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Radiation-induced lymphopenia is known for its survival significance in patients with breast cancer treated with radiation therapy. This study aimed to evaluate the impact of radiotherapy on lymphocytes by applying machine learning strategies. We used Extreme Gradient Boosting (XGboost) to predict the event of lymphopenia (grade≥1) and conduced an independent validation. Then, we induced feature attribution analysis (Shapley additive explanation, SHAP) in explaining the XGboost models to explore the directional contribution of each feature to lymphopenia. Finally, we implemented the proof-of-concept clinical validation. The results showed that the XGboost models had rigorous generalization performances (accuracies 0.764 and ROC-AUC 0.841, respectively) in the independent cohort. The baseline lymphocyte counts are the most protective feature (SHAP = 5.226, direction of SHAP = -0.964). Baseline platelets and monocytes also played important protective roles. The usage of taxane only chemotherapy was less risk on lymphopenia than the combination of anthracycline and taxane. By the contribution analysis of dose, we identified that firstly lymphocytes were sensitive to a radiation dose less than 4Gy; secondly the irradiation volume was more important in promoting lymphopenia than the irradiation dose; thirdly the irradiation dose promoted the event of lymphopenia when the irradiation volume was fixed. Overall, our findings paved the way to clarifying the radiation dose volume effect. To avoid radiation-induced lymphopenia, irradiation volume should be kept to a minimum during the planning process, as long as the target coverage is not compromised.
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