Predicting Liver Function After Irradiation
Predicting Liver Function After Irradiation
批准号:
7886081
负责人:
Yue Cao
金额:
$37.68万
依托单位国家:
美国
项目类别:
财政年份:
2010
资助国家:
美国
项目状态:
已结题
起止时间:
2010-08-01 至 2015-05-31
关键词:
AbbreviationsAcidsAffectAlkaline PhosphataseAnalysis of VarianceAscitesBile fluidBilirubinCentral VeinCessation of lifeClinicalComplicationDataDevelopmentDiseaseDoseExcretory functionExhibitsFunctional ImagingFunctional disorderGoalsHalf-LifeHepaticHepatobiliaryHepatomegalyImageImage AnalysisIndividualIndocyanine GreenInjuryLabelLaboratory FindingLeast-Squares AnalysisLiverLiver DysfunctionLiver diseasesLiver parenchymaMagnetic Resonance ImagingMeasuresModelingMonitorNoiseNormal Statistical DistributionNormal tissue morphologyOutcomePathologyPatientsPerfusionPhysiologicalPlatelet Factor 4Positron-Emission TomographyProbabilityRadiationRadiation ToleranceRadiation ToxicityRadiation therapyRegional PerfusionResistanceSecondary toSpatial DistributionSymptomsThrombosisTimeTransaminasesUnresectableVeno-Occlusive DiseaseVenousWeight GainX-Ray Computed Tomographybasechemotherapyimaging modalityimprovedindexinginnovationinterestintrahepatic cancerirradiationliver functionpre-clinicalpublic health relevanceresponsesingle photon emission computed tomographytooltreatment planningtumor
中文摘要
描述(申请人提供):大约三分之二的肝内癌患者存在无法切除的疾病。我们以前的研究表明,大剂量适形放射联合化疗似乎可以延长不能切除的肝癌患者的生存时间。然而,由于放射性肝病(RILD)的发展,进一步增加辐射剂量的尝试受到了限制。RILD的病理是静脉闭塞性疾病,其特征是肝中央静脉内血栓形成,导致“后”肝充血。在过去,开发模型来估计发生RILD的可能性的努力主要是基于正常肝脏的计划辐射剂量分布。这些分析表明,增加平均肝脏剂量与发生RILD的可能性相关。虽然这些模型允许安全地提供比以前可能的高得多的辐射剂量,但它们也表明,仅基于物理剂量分布或一般临床特征做出的预测不能反映出广泛的个体患者敏感性。由于RILD的基本病理生理学基础是静脉阻塞,我们提出的假设是,早期监测门静脉血流和肝胆功能将有可能预测照射后的肝功能,从而允许安全地将较高剂量的药物输送到肿瘤而不增加并发症。我们的初步数据提供了支持这一假设的证据。在R01的应用中,我们建议开发一个模型来预测放射治疗完成后的肝功能,其基础是放射治疗计划,以及在放射治疗前和期间通过DCE MRI和SPECT评估门静脉血流灌注和肝胆功能的值。此外,我们还使用我们开发的肝脏剂量反应函数来评估放射治疗期间个体和区域的辐射敏感性,以预测辐射后的肝功能。我们提出的方法是高度创新的,代表了一种研究肝脏辐射毒性的新范式。它有可能成为个体化治疗的工具。
公共卫生相关性:我们之前的研究表明,大剂量适形放射联合化疗似乎可以延长不能切除的肝内癌患者的生存时间。然而,进一步增加辐射剂量的尝试受到辐射引起的肝损伤的限制。我们的长期目标是开发一种新的影像方法来预测辐射诱导的症状性肝损伤。因此,高剂量的辐射可以安全地输送到那些对辐射耐受性更好的患者的肿瘤中,从而提高生存率。
英文摘要
DESCRIPTION (provided by applicant): Approximately two thirds of patients with intrahepatic cancer present with unresectable disease. Our previous studies show that high dose conformal radiation combined with chemotherapy appears to prolong the survival of patients with unresectable intrahepatic cancers. However, attempts to increase radiation dose still further have been limited by the development of radiation-induced liver disease (RILD). The pathology of RILD is veno-occlusive disease, which is characterized by thrombosis within the central veins of the liver producing "post" hepatic congestion. In the past, efforts to develop models to estimate the likelihood of developing RILD have been based primarily on the planned radiation dose distribution for the normal liver. These analyses have demonstrated that increasing mean liver dose correlates with the likelihood of developing RILD. While these models have permitted the safe delivery of far higher doses of radiation than have previously been possible, they also suggest that there is a broad range of individual patient sensitivity that is not reflected by predictions made solely based on the physical dose distribution or general clinical features. As the basic pathophysiology of RILD is venous occlusion, we develop the hypothesis that early monitoring of portal venous perfusion and hepatobiliary function would have the potential to predict liver function after irradiation, thereby permitting to safely deliver the higher dose to the tumor without an increase of complications. Our preliminary data provide evidence to support this hypothesis. In this R01 application, we propose to develop a model to predict liver function after the completion of radiation therapy based upon the radiation treatment plan, and the values of portal venous perfusion and hepatobiliary function assessed by DCE MRI and SPECT prior to and during radiation therapy. Also, we assess individual and regional radiation sensitivity during radiation therapy using the liver dose response function that we have developed, for prediction of liver function after irradiation. Our proposed approach is highly innovative and represents a new paradigm to investigate radiation toxicity in the liver. It has potential to be a tool for individualized therapy.
PUBLIC HEALTH RELEVANCE: Our previous studies show that high dose conformal radiation combined with chemotherapy appears to prolong the survival of patients with unresectable intrahepatic cancers. However, attempts to increase radiation dose still further have been limited by radiation-induced liver injury. Our long term goal is to develop a new imaging approach for prediction of radiation-induced syptomatic liver injury. Therefore, higher dose of radiation can be safely delivered to tumor in patients who can be better tolerant to radiation, thereby improving survival.
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