Robotic MRI/CT Guided Multiregional ‘smart’ Biopsy for Characterization of Tumor Heterogeneity: A Prospective Development Study
Multiregional robotic MRI-informed, CT-guided biopsy is feasible and safe in RPS. Sampling three distinct regions within tumors provides a more comprehensive and accurate representation of tumor biology than standard biopsy. The close relationship between imaging and histological heterogeneity biomarkers has broader implications for pancancer biopsy techniques, imaging characterization, and personalized treatment selection.
Authors
- Amani Arthur (ORCID: https://orcid.org/0000-0001-5087-2243)
- Andrea Napolitano (ORCID: https://orcid.org/0000-0002-7509-1555)
- Jessica Winfield (ORCID: https://orcid.org/0000-0001-6069-5252)
- Nicos Fotiadis (ORCID: https://orcid.org/0000-0003-0722-1386)
- Myles Smith (ORCID: https://orcid.org/0000-0002-3254-4817)
- Matthew Blackledge (ORCID: https://orcid.org/0000-0001-8117-9003)
- Christian Kelly‐Morland (ORCID: https://orcid.org/0000-0002-1197-0382)
- Edward W. Johnston (ORCID: https://orcid.org/0000-0002-8504-2968)
- Paul H. Huang (ORCID: https://orcid.org/0000-0003-3972-5087)
- D. Strauß (ORCID: https://orcid.org/0000-0003-2413-0697)
- Jodie Basso
- Peter Hayes (ORCID: https://orcid.org/0000-0002-9660-8322)
- Peter P. Jones (ORCID: https://orcid.org/0000-0001-7977-1737)
- Jonathan Hannay
- U. Banerjee
- P. Koh
- Cheryl Richardson
- Avirup Chowdhury
- Prof Khin Thway
- Prof Christina Messiou
Institutions
- Royal Marsden NHS Foundation Trust (GB)
- Institute of Cancer Research (GB)
Publication Details
- Journal
- Academic Radiology
- Published
- 2024-11-26
- DOI
- https://doi.org/10.1016/j.acra.2024.10.055
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- NIHR Biomedical Research Centre, Royal Marsden NHS Foundation Trust/Institute of Cancer Research
- National Institute for Health and Care Research
- Royal College of Radiologists
- Institute of Cancer Research