Advanced multiparametric MRI for the characterisation of soft tissue sarcoma and response to neoadjuvant therapy
Lead Research Organisation:
Institute of Cancer Research
Department Name: Division of Radiotherapy and Imaging
Abstract
Imaging technology is required to enable personalised adaptation of treatment for improved outcomes for patients
with soft-tissue sarcoma, specifically techniques which can identify those patients who would benefit from
neoadjuvant therapy prior to surgery, accurately assess tumour response, and enable expedient switching to a more
efficacious 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 biomarkers
associated with the heterogeneous phenotype that develops within patient-derived xenograft models of soft-tissue
sarcoma, and for the assessment of tumour response to neoadjuvant therapy.
with soft-tissue sarcoma, specifically techniques which can identify those patients who would benefit from
neoadjuvant therapy prior to surgery, accurately assess tumour response, and enable expedient switching to a more
efficacious 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 biomarkers
associated with the heterogeneous phenotype that develops within patient-derived xenograft models of soft-tissue
sarcoma, and for the assessment of tumour response to neoadjuvant therapy.
People |
ORCID iD |
| Simon Robinson (Primary Supervisor) | |
| Ellen O'Sullivan (Student) |
Studentship Projects
| Project Reference | Relationship | Related To | Start | End | Student Name |
|---|---|---|---|---|---|
| MR/W006553/1 | 01/10/2022 | 30/09/2028 | |||
| 2750357 | Studentship | MR/W006553/1 | 03/10/2022 | 02/10/2026 | Ellen O'Sullivan |