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Quantitative Lung Function Imaging to Reduce Toxicity for patients treated with Radiation and Immunotherapy

定量肺功能成像可减少接受放射和免疫治疗的患者的毒性

基本信息

批准号：
10081648
负责人：
Edward Castillo
金额：
$ 34.7万
依托单位：
THOMAS JEFFERSON UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2021
资助国家：
美国
起止时间：
2021-06-01 至 2023-05-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10081648
关键词：
Address Cancer Patient Chest Clinical Clinical Trials Combined Modality Therapy Computer software Coughing Data Data Set Development Dose Enrollment Generations Human Image Image Analysis Immunotherapy Intervention Investigation Lung Malignant neoplasm of lung Maps Methods Patients Probability Pulmonary Inflammation Quality of life Radiation Radiation Pneumonitis Radiation therapy Regimen Reproducibility Risk Shortness of Breath Techniques Therapeutic Thoracic Oncology Toxic effect Treatment Side Effects Validation aggressive therapy base clinical care clinically relevant clinically significant design imaging modality immunotherapy clinical trials improved improved outcome innovation lung basal segment novel patient response perfusion imaging prospective pulmonary function quantitative imaging radiation effect response side effect standard of care success treatment planning ventilation

项目摘要

The proposed project is in the field of thoracic oncology. Lung cancer patients that get treated with radiotherapy and immunotherapy are at risk of developing serious lung side-effects, and in particular, pneumonitis. Pneumonitis results in cough, shortness of breath, and can be fatal. Pneumonitis, is a serious, overlapping toxicity that can results as a function of both radiotherapy and immunotherapy. Pneumonitis has a significant impact on patient quality of life and limits the aggressive combinations of therapies that can be evaluated in clinical trials. Strategies are needed that can reduce pneumonitis rates for patients treated with aggressive combinations of radiotherapy and immunotherapy in clinical trials. A novel lung function imaging modality has been developed that uses data acquired as part of routine clinical care for lung cancer patients along with software techniques to innovatively calculate lung function maps. The novel lung function imaging modality has been incorporated into radiotherapy through a personalized, functional avoidance radiation treatment paradigm. The idea of functional avoidance is to design radiation treatment plans that reduce dose to functional portions of the lung with the hypothesis that reduced dose to functional lung will lead to decreased side-effects from treatment and improved quality of life. Imaging-based functional avoidance provides a promising method for significantly reducing toxicity for lung cancer patients who get treated with combinations of radiotherapy and immunotherapy. The problem is that the novel lung function imaging methods have not been developed and evaluated with immunotherapy added to the treatment paradigm. The purpose of our project is to develop novel methods that enable the evaluation of imaging-based functional avoidance for patients enrolled in radiotherapy and immunotherapy clinical trials. Our study will develop methods that provide a complete picture of lung function (perfusion imaging in addition to ventilation), evaluate the most stable and clinically relevant form of lung function imaging, and perform a sensitivity analysis of how various functional parameters effect radiation treatment plans for patients treated with radiotherapy and immunotherapy. Our study will use data from 4 clinical trials to evaluate whether the proposed imaging framework can reduce toxicity for lung cancer patients in the setting of immunotherapy added to the treatment paradigm. More aggressive combinations of radiotherapy and immunotherapy are going to continue to evolve and be investigated in clinical trials. Pulmonary toxicity will be a serious clinical limitation for these studies. Our project proposes a convenient, inexpensive imaging modality to reduce toxicity and has the potential to significantly improve quality of life of lung cancer patients treated with radiotherapy and immunotherapy. The impact of our imaging framework is that it can 1) reduce treatment-related side-effects for patients treated with radiotherapy and immunotherapy and 2) enable the investigation of more-aggressive radiotherapy and immunotherapy treatment approaches for lung cancer patients.

拟议的项目是在胸部肿瘤学领域。接受治疗的肺癌患者