dc.contributor.author | Knill, AK | |
dc.contributor.author | Blackledge, MD | |
dc.contributor.author | Curcean, A | |
dc.contributor.author | Larkin, J | |
dc.contributor.author | Turajlic, S | |
dc.contributor.author | Riddell, A | |
dc.contributor.author | Koh, DM | |
dc.contributor.author | Messiou, C | |
dc.contributor.author | Winfield, JM | |
dc.coverage.spatial | Germany | |
dc.date.accessioned | 2022-12-22T12:12:08Z | |
dc.date.available | 2022-12-22T12:12:08Z | |
dc.date.issued | 2022-09-28 | |
dc.identifier | 10.1007/s00330-022-09088-5 | |
dc.identifier.citation | European Radiology, 2022, | |
dc.identifier.issn | 0938-7994 | |
dc.identifier.uri | https://repository.icr.ac.uk/handle/internal/5616 | |
dc.identifier.eissn | 1432-1084 | |
dc.identifier.eissn | 1432-1084 | |
dc.identifier.doi | 10.1007/s00330-022-09088-5 | |
dc.description.abstract | OBJECTIVE: To establish optimised diffusion weightings ('b-values') for acquisition of whole-body diffusion-weighted MRI (WB-DWI) for estimation of the apparent diffusion coefficient (ADC) in patients with metastatic melanoma (MM). Existing recommendations for WB-DWI have not been optimised for the tumour properties in MM; therefore, evaluation of acquisition parameters is essential before embarking on larger studies. METHODS: Retrospective clinical data and phantom experiments were used. Clinical data comprised 125 lesions from 14 examinations in 11 patients with multifocal MM, imaged before and/or after treatment with immunotherapy at a single institution. ADC estimates from these data were applied to a model to estimate the optimum b-value. A large non-diffusing phantom was used to assess eddy current-induced geometric distortion. RESULTS: Considering all tumour sites from pre- and post-treatment examinations together, metastases exhibited a large range of mean ADC values, [0.67-1.49] × 10-3 mm2/s, and the optimum high b-value (bhigh) for ADC estimation was 1100 (10th-90th percentile: 740-1790) s/mm2. At higher b-values, geometric distortion increased, and longer echo times were required, leading to reduced signal. CONCLUSIONS: Theoretical optimisation gave an optimum bhigh of 1100 (10th-90th percentile: 740-1790) s/mm2 for ADC estimation in MM, with the large range of optimum b-values reflecting the wide range of ADC values in these tumours. Geometric distortion and minimum echo time increase at higher b-values and are not included in the theoretical optimisation; bhigh in the range 750-1100 s/mm2 should be adopted to maintain acceptable image quality but performance should be evaluated for a specific scanner. KEY POINTS: • Theoretical optimisation gave an optimum high b-value of 1100 (10th-90th percentile: 740-1790) s/mm2 for ADC estimation in metastatic melanoma. • Considering geometric distortion and minimum echo time (TE), a b-value in the range 750-1100 s/mm2 is recommended. • Sites should evaluate the performance of specific scanners to assess the effect of geometric distortion and minimum TE. | |
dc.format | Print-Electronic | |
dc.language | eng | |
dc.language.iso | eng | |
dc.publisher | SPRINGER | |
dc.relation.ispartof | European Radiology | |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
dc.subject | Apparent diffusion coefficient | |
dc.subject | Diffusion magnetic resonance imaging | |
dc.subject | Melanoma | |
dc.subject | Metastasis | |
dc.subject | Whole-body imaging | |
dc.title | Optimisation of b-values for the accurate estimation of the apparent diffusion coefficient (ADC) in whole-body diffusion-weighted MRI in patients with metastatic melanoma. | |
dc.type | Journal Article | |
dcterms.dateAccepted | 2022-08-04 | |
dc.date.updated | 2022-12-22T12:11:46Z | |
rioxxterms.version | VoR | |
rioxxterms.versionofrecord | 10.1007/s00330-022-09088-5 | |
rioxxterms.licenseref.startdate | 2022-09-28 | |
rioxxterms.type | Journal Article/Review | |
pubs.author-url | https://www.ncbi.nlm.nih.gov/pubmed/36169688 | |
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/Melanoma and Kidney Cancer | |
pubs.organisational-group | /ICR/Primary Group/ICR Divisions/Radiotherapy and Imaging | |
pubs.organisational-group | /ICR/Primary Group/Royal Marsden Clinical Units | |
pubs.organisational-group | /ICR/Primary Group/ICR Divisions/Clinical Studies/Melanoma and Kidney Cancer/Melanoma and Kidney Cancer (hon.) | |
pubs.organisational-group | /ICR/Primary Group/ICR Divisions/Radiotherapy and Imaging/Computational Imaging | |
pubs.organisational-group | /ICR/Students | |
pubs.organisational-group | /ICR/Students/PhD and MPhil | |
pubs.organisational-group | /ICR/Students/PhD and MPhil/19/20 Starting Cohort | |
pubs.publication-status | Published online | |
pubs.publisher-url | http://dx.doi.org/10.1007/s00330-022-09088-5 | |
icr.researchteam | Computational Imaging | |
icr.researchteam | RMH Honorary Faculty | |
icr.researchteam | Appl Phys in Clinical MRI | |
dc.contributor.icrauthor | Knill, Annemarie | |
dc.contributor.icrauthor | Blackledge, Matthew | |
icr.provenance | Deposited by Mr Arek Surman on 2022-12-22. Deposit type is initial. No. of files: 1. Files: s00330-022-09088-5.pdf | |