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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.
Original language | English |
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Article number | 14084 |
Journal | Scientific Reports |
Volume | 7 |
Issue number | 1 |
Early online date | 26 Oct 2017 |
DOIs | |
Publication status | Published - 1 Dec 2017 |
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Dive into the research topics of 'A data-driven statistical model that estimates measurement uncertainty improves interpretation of ADC reproducibility: A multi-site study of liver metastases'. Together they form a unique fingerprint.Projects
- 1 Finished
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CRUK Imaging Centres.
Jackson, A., Asselin, M., Coope, D., Dive, C., Faivre-Finn, C., Herholz, K., Hinz, R., Illidge, T., Manoharan, P., Marais, R., Matthews, J., McMahon, A., O'Connor, J., Parker, G., Stivaros, S., Thacker, N., Williams, K. & Withers, P.
1/12/13 → 30/11/19
Project: Research