Predicting the lung ventilation change caused by radiation therapy

预测放射治疗引起的肺通气变化

• 批准号: 7773251
• 负责人: Ke Sheng
• 金额: $ 13.4万
• 依托单位: UNIVERSITY OF VIRGINIA
• 依托单位国家: 美国
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-03-01 至 2011-04-08
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7773251
• 关键词: Adverse effects; Affect; American Cancer Society; Biomechanics; Cancer Etiology; Cessation of life; Chest wall structure; Contrast Media; Data; Discipline of Nuclear Medicine; Dose; Environmental air flow; Fibrosis; Finite Element Analysis; Image; Laws; Link; Lung; Lung Neoplasms; Magnetic Resonance Imaging; Malignant neoplasm of lung; Measurement; Measures; Methods; Modeling; Motion; Muscle Rigidity; Non-Small-Cell Lung Carcinoma; Outcome; Patients; Pattern; Positioning Attribute; Probability; Property; Prospective Studies; Publishing; Pulmonary function tests; Radiation; Radiation Pneumonitis; Radiation therapy; Respiratory Diaphragm; Risk; Screening procedure; Structure of parenchyma of lung; Techniques; Testing; Tissues; Toxic effect; Treatment outcome; United States; base; chemotherapy; density; design; improved; lung injury; lung lobe; lung volume; novel; physical model; public health relevance; pulmonary function; response; standard of care; treatment planning; tumor

DESCRIPTION (provided by applicant): To improve the local control rate of lung radiation therapy, higher radiation dose is needed but limited by the risk of symptomatic radiation induced lung injury. Novel methods to predict radiation-induced lung toxicity have the potential to allow for dose escalation based on patient specific pre-radiation pulmonary biomechanical properties. In this proposal, we hypothesize that the ventilation is a biomechanical problem solvable by finite element analysis. We further hypothesize that the change in the ventilation can be predicted based on the increased rigidity of fibrotic lung tissue as a result of radiation therapy. We designed a prospective study to test these hypotheses. PUBLIC HEALTH RELEVANCE: Lung cancer is the leading cause of cancer death in the United States with 161,840 deaths attributed to lung cancer in 2008 (American Cancer Society). Radiation therapy in combination with chemotherapy is the standard of care for patients with locally advanced lung tumor. However, the combined therapy can result in severe side effects. The proposed project will help to predict and to minimize the risk by a patient specific approach.

描述（由申请人提供）： 为了提高肺部放射治疗的局部控制率，需要更高的放射剂量，但受限于症状性放射引起肺损伤的风险。预测辐射引起的肺毒性的新方法有可能根据患者特定的辐射前肺生物力学特性来增加剂量。在这个提案中，我们假设通风是一个可以通过有限元分析解决的生物力学问题。我们进一步假设，通气的变化可以根据放射治疗导致的纤维化肺组织硬度的增加来预测。我们设计了一项前瞻性研究来检验这些假设。 公共卫生相关性： 肺癌是美国癌症死亡的主要原因，2008 年有 161,840 人死于肺癌（美国癌症协会）。放射治疗联合化疗是局部晚期肺肿瘤患者的标准治疗方法。然而，联合治疗可能会导致严重的副作用。拟议的项目将有助于通过针对患者的具体方法来预测和最小化风险。