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

需要成像技术来实现个性化的治疗适应，以改善软组织肉瘤患者的预后，特别是能够识别那些将在手术前从新辅助治疗中受益的患者的技术，准确地评估肿瘤反应，并在必要时能够迅速切换到更有效的制剂/治疗方案。该项目的目标是使用先进的、临床可翻译的多参数MRI策略，结合计算病理学，定义与患者来源的异种表型软组织肉瘤相关的成像生物标记物，并用于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.