Advanced multiparametric MRI for the characterisation of soft tissue sarcoma and response to neoadjuvant therapy

需要成像技术来实现软组织肉瘤患者的个性化治疗以改善预后，特别是可以在手术前识别那些受益于新辅助治疗的患者的技术，准确评估肿瘤反应，并在必要时方便地切换到更有效的药物/治疗方案。本项目的目的是使用先进的、临床可翻译的多参数MRI策略，结合计算病理学，来定义与软组织肉瘤患者来源的异种移植模型中发展的异质性表型相关的成像生物标志物，并评估肿瘤对新辅助治疗的反应。

Imaging technology is required to enable personalised adaptation of treatment for improved outcomes for patientswith soft-tissue sarcoma, specifically techniques which can identify those patients who would benefit fromneoadjuvant therapy prior to surgery, accurately assess tumour response, and enable expedient switching to a moreefficacious agent/treatment regime as necessary. The objective of this project is to use advanced, clinicallytranslatable multi-parametric MRI strategies, coupled with computational pathology, to define imaging biomarkersassociated with the heterogeneous phenotype that develops within patient-derived xenograft models of soft-tissuesarcoma, and for the assessment of tumour response to neoadjuvant therapy.