Translating Hyperpolarized 13C Metabolic MRI to Predict Renal Tumor Aggressiveness

转化超极化 13C 代谢 MRI 来预测肾肿瘤的侵袭性

• 批准号: 10597761
• 负责人: Peder Eric Zufall Larson
• 金额: $ 4.05万
• 依托单位: UNIVERSITY OF CALIFORNIA, SAN FRANCISCO
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-01-01 至 2025-12-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10597761
• 关键词: Address; Benign; Biological Markers; Biopsy; Calibration; Cardiovascular Diseases; Cessation of life; Chronic Kidney Failure; Clinical; Clinical Data; Clinical Protocols; Clinical Research; Data; Data Set; Detection; Diagnostic; Disease; Early Diagnosis; Evaluation; Excision; Future; Glycolysis; Goals; Histology; Human; Image; Imaging Techniques; Imaging technology; Incidence; Incidental Discoveries; Indolent; Investigation; Kidney; Kidney Neoplasms; Lactate Dehydrogenase; Link; Local Therapy; Magnetic Resonance Imaging; Malignant - descriptor; Malignant Neoplasms; Malignant neoplasm of kidney; Maps; Measures; Mediating; Metabolic; Metabolism; Methods; Modeling; Motivation; Neoplasm Metastasis; Noise; Operative Surgical Procedures; Pathology; Pathway interactions; Patients; Performance; Production; Prognosis; Pyruvate; Pyruvate Metabolism Pathway; RF coil; Reference Standards; Renal Cell Carcinoma; Renal carcinoma; Reproducibility; Risk; Running; Safety; Scanning; Signal Transduction; Testing; Time; Translating; Unnecessary Surgery; Validation; Work; clinical application; cohort; cost; imaging approach; imaging biomarker; improved; innovation; kinetic model; magnetic resonance imaging biomarker; metabolic imaging; metabolomics; molecular imaging; novel; overtreatment; pre-clinical; radiomics; response; risk stratification; standard of care; surgical risk; temporal measurement; tumor; tumor metabolism

Project summary: This project aims to clinically translate hyperpolarized (HP) 13C pyruvate MRI as an innovative metabolic imaging approach for noninvasive prediction of renal tumor aggressiveness, an unmet clinical need. Our study is in direct response to PAR 19-264 that supports “The optimization, application and validation of emerging imaging or biomarker approaches targeted specifically for clinical application”, with the goals to “reduce overdiagnosis”, and “identify lethal cancers from non-lethal disease”. Our project is motivated by the rising incidence of renal tumors, largely due to the increased utilization of imaging with incidental discovery of many localized tumors. These include both benign renal tumors and malignant renal cell carcinomas (RCCs). Current imaging or biopsies cannot reliably differentiate between benign tumors, low grade RCCs, and high grade RCCs. The diagnostic ambiguity has led to an overdiagnosis of many indolent tumors which are unnecessarily treated by surgery with surgical risks, and importantly, increased risk of chronic kidney disease and associated cardiovascular disease. Notably, the increased detection of RCCs has not translated into a decrease in cancer specific death. Therefore, there is a significant unmet need for novel imaging markers that can improve the risk stratification of localized renal tumors to guide patient management. HP 13C MRI is an emerging imaging technology that allows real-time pathway-specific investigation of metabolic processes that were previously inaccessible by imaging. Our pre-clinical data in orthotopic RCC tumor models have shown that HP 13C pyruvate MRI can quantitatively map the increased pyruvate-to-lactate metabolism via the lactate dehydrogenase pathway, an imageable biomarker which is strongly linked to the presence of RCC and its aggressiveness. We have also demonstrated the feasibility of acquiring dynamic HP 13C pyruvate MRI of renal tumors in patients, with excellent metabolic contrast between tumor and normal kidney. Building upon these promising preliminary data, we now propose to investigate for the first time the value of HP 13C pyruvate MRI for risk stratifying localized renal tumors. Aim 1- we will optimize the MRI acquisition strategies for renal tumor metabolic evaluation. Aim 2- we will investigate the value of HP 13C pyruvate MRI for differentiating between benign tumors, low grade RCCs, and high grade RCCs. We will also compare HP 13C data to advanced 1H MRI and radiomics analyses, and develop multi-parametric model to assess whether it can improve the prediction. Aim 3- we will determine the repeatability of HP 13C pyruvate MRI of renal tumors, and evaluate new analysis methods to further improve the robustness of metabolism quantification. Successful completion of this project will provide the first data on the value of HP 13C pyruvate MRI in predicting renal tumor aggressiveness, and will pave the way for future larger clinical studies. HP 13C pyruvate has already been shown to be safe, and we envision the 13C metabolic imaging markers to be incorporated into a state-of-the-art multi-parametric MRI to reduce the current overdiagnosis of indolent tumors while enabling the early detection of aggressive RCCs, and help safely select patients for active surveillance.

项目总结: