dc.contributor.author | Pathak, R | |
dc.contributor.author | Ragheb, H | |
dc.contributor.author | Thacker, NA | |
dc.contributor.author | Morris, DM | |
dc.contributor.author | Amiri, H | |
dc.contributor.author | Kuijer, J | |
dc.contributor.author | deSouza, NM | |
dc.contributor.author | Heerschap, A | |
dc.contributor.author | Jackson, A | |
dc.date.accessioned | 2018-02-14T16:05:16Z | |
dc.date.issued | 2017-10-26 | |
dc.identifier.citation | Scientific reports, 2017, 7 (1), pp. 14084 - ? | |
dc.identifier.issn | 2045-2322 | |
dc.identifier.uri | https://repository.icr.ac.uk/handle/internal/1087 | |
dc.identifier.eissn | 2045-2322 | |
dc.identifier.doi | 10.1038/s41598-017-14625-0 | |
dc.description.abstract | Apparent Diffusion Coefficient (ADC) is a potential quantitative imaging biomarker for tumour cell density and is widely used to detect early treatment changes in cancer therapy. We propose a strategy to improve confidence in the interpretation of measured changes in ADC using a data-driven model that describes sources of measurement error. Observed ADC is then standardised against this estimation of uncertainty for any given measurement. 20 patients were recruited prospectively and equitably across 4 sites, and scanned twice (test-retest) within 7 days. Repeatability measurements of defined regions (ROIs) of tumour and normal tissue were quantified as percentage change in mean ADC (test vs. re-test) and then standardised against an estimation of uncertainty. Multi-site reproducibility, (quantified as width of the 95% confidence bound between the lower confidence interval and higher confidence interval for all repeatability measurements), was compared before and after standardisation to the model. The 95% confidence interval width used to determine a statistically significant change reduced from 21.1 to 2.7% after standardisation. Small tumour volumes and respiratory motion were found to be important contributors to poor reproducibility. A look up chart has been provided for investigators who would like to estimate uncertainty from statistical error on individual ADC measurements. | |
dc.format | Electronic | |
dc.format.extent | 14084 - ? | |
dc.language | eng | |
dc.language.iso | eng | |
dc.publisher | NATURE PORTFOLIO | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0 | |
dc.subject | Liver | |
dc.subject | Humans | |
dc.subject | Carcinoma | |
dc.subject | Colorectal Neoplasms | |
dc.subject | Liver Neoplasms | |
dc.subject | Image Interpretation, Computer-Assisted | |
dc.subject | Imaging, Three-Dimensional | |
dc.subject | Diffusion Magnetic Resonance Imaging | |
dc.subject | Tumor Burden | |
dc.subject | Models, Statistical | |
dc.subject | Uncertainty | |
dc.subject | Prospective Studies | |
dc.subject | Reproducibility of Results | |
dc.subject | Respiration | |
dc.subject | Movement | |
dc.subject | Adult | |
dc.subject | Aged | |
dc.subject | Middle Aged | |
dc.subject | Female | |
dc.subject | Male | |
dc.subject | Proof of Concept Study | |
dc.title | A data-driven statistical model that estimates measurement uncertainty improves interpretation of ADC reproducibility: a multi-site study of liver metastases. | |
dc.type | Journal Article | |
dcterms.dateAccepted | 2017-10-09 | |
rioxxterms.versionofrecord | 10.1038/s41598-017-14625-0 | |
rioxxterms.licenseref.uri | https://creativecommons.org/licenses/by/4.0 | |
rioxxterms.licenseref.startdate | 2017-10-26 | |
rioxxterms.type | Journal Article/Review | |
dc.relation.isPartOf | Scientific reports | |
pubs.issue | 1 | |
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/Radiotherapy and Imaging | |
pubs.organisational-group | /ICR/Primary Group/ICR Divisions/Radiotherapy and Imaging/Magnetic Resonance | |
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/Radiotherapy and Imaging | |
pubs.organisational-group | /ICR/Primary Group/ICR Divisions/Radiotherapy and Imaging/Magnetic Resonance | |
pubs.publication-status | Published | |
pubs.volume | 7 | |
pubs.embargo.terms | Not known | |
icr.researchteam | Magnetic Resonance | |
dc.contributor.icrauthor | deSouza, Nandita | |