dc.contributor.author | Donners, R | |
dc.contributor.author | Figueiredo, I | |
dc.contributor.author | Tunariu, N | |
dc.contributor.author | Blackledge, M | |
dc.contributor.author | Koh, D-M | |
dc.contributor.author | de la Maza, MDLDF | |
dc.contributor.author | Chandran, K | |
dc.contributor.author | de Bono, JS | |
dc.contributor.author | Fotiadis, N | |
dc.date.accessioned | 2022-04-26T15:11:24Z | |
dc.date.available | 2022-04-26T15:11:24Z | |
dc.date.issued | 2022-01-29 | |
dc.identifier.citation | European radiology, 2022 | |
dc.identifier.issn | 0938-7994 | |
dc.identifier.uri | https://repository.icr.ac.uk/handle/internal/5097 | |
dc.identifier.eissn | 1432-1084 | |
dc.identifier.eissn | 1432-1084 | |
dc.identifier.doi | 10.1007/s00330-022-08536-6 | |
dc.identifier.doi | 10.1007/s00330-022-08536-6 | |
dc.description.abstract | OBJECTIVES: To evaluate whether multiparametric bone MRI (mpBMRI) utilising a combination of DWI signal, ADC and relative fat-fraction (rFF) can identify bone metastases, which provide high diagnostic biopsy yield and next-generation genomic sequencing (NGS) feasibility. METHODS: A total of 150 CT-guided bone biopsies performed by interventional radiologists (3/2013 to 2/2021) at our centre were reviewed. In 43 patients, contemporaneous DWI and rFF images, calculated from 2-point T1w Dixon MRI, were available. For each biopsied lesion, a region of interest (ROI) was delineated on ADC and rFF images and the following MRI parameters were recorded: visual classification of DWI signal intensity (SI), mean, median, 10th and 90th centile ADC and rFF values. Non-parametric tests were used to compare values between tumour positive/negative biopsies and feasible/non-feasible NGS, with p-values < 0.05 deemed significant. RESULTS: The mpBMRI combination high DWI signal, mean ADC < 1100 µm2/s and mean rFF < 20% identified tumour-positive biopsies with 82% sensitivity, 80% specificity, a positive predictive value (PPV) of 93% (p = 0.001) and NGS feasibility with 91% sensitivity, 78% specificity and 91% PPV (p < 0.001). The single MRI parameters DWI signal, ADC and rFF failed to distinguish between tumour-positive and tumour-negative biopsies (each p > 0.082). In NGS feasible biopsies, mean and 90th centile rFF were significantly smaller (each p < 0.041). Single ADC parameters did not show significant difference regarding NGS feasibility (each p > 0.292). CONCLUSIONS: MpBMRI utilising the combination of DWI signal, ADC and rFF can identify active bone metastases, which provide biopsy tissue with high diagnostic yield and NGS feasibility. KEY POINTS: • Multiparametric bone MRI with diffusion-weighted and relative fat-fraction images helps to identify active bone metastases suitable for CT-guided biopsy. • Target lesions for CT-guided bone biopsies in cancer patients can be chosen with greater confidence. • CT-guided bone biopsy success rates, especially yielding sufficient viable tissue for advanced molecular tissue analyses, can be improved. | |
dc.format | Print-Electronic | |
dc.language | eng | |
dc.language.iso | eng | |
dc.publisher | SPRINGER | |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
dc.title | Multiparametric bone MRI can improve CT-guided bone biopsy target selection in cancer patients and increase diagnostic yield and feasibility of next-generation tumour sequencing. | |
dc.type | Journal Article | |
dcterms.dateAccepted | 2021-12-20 | |
rioxxterms.version | VoR | |
rioxxterms.versionofrecord | 10.1007/s00330-022-08536-6 | |
rioxxterms.licenseref.startdate | 2022-01-29 | |
dc.relation.isPartOf | European radiology | |
pubs.notes | Not known | |
pubs.organisational-group | /ICR | |
pubs.organisational-group | /ICR/Primary Group | |
pubs.organisational-group | /ICR/Primary Group/ICR Divisions | |
pubs.organisational-group | /ICR/Primary Group/ICR Divisions/Clinical Studies | |
pubs.organisational-group | /ICR/Primary Group/ICR Divisions/Clinical Studies/Prostate Cancer Targeted Therapy Group | |
pubs.organisational-group | /ICR/Primary Group/Royal Marsden Clinical Units | |
pubs.publication-status | Published | |
pubs.embargo.terms | Not known | |
icr.researchteam | Prostate Cancer Targeted Therapy Group | |
dc.contributor.icrauthor | Blackledge, Matthew | |
dc.contributor.icrauthor | De Bono, Johann | |