dc.contributor.author | Winfield, JM | |
dc.contributor.author | Orton, MR | |
dc.contributor.author | Collins, DJ | |
dc.contributor.author | Ind, TEJ | |
dc.contributor.author | Attygalle, A | |
dc.contributor.author | Hazell, S | |
dc.contributor.author | Morgan, VA | |
dc.contributor.author | deSouza, NM | |
dc.date.accessioned | 2016-11-23T10:40:48Z | |
dc.date.issued | 2017-02-01 | |
dc.identifier.citation | European radiology, 2017, 27 (2), pp. 627 - 636 | |
dc.identifier.issn | 0938-7994 | |
dc.identifier.uri | https://repository.icr.ac.uk/handle/internal/226 | |
dc.identifier.eissn | 1432-1084 | |
dc.identifier.doi | 10.1007/s00330-016-4417-0 | |
dc.description.abstract | OBJECTIVES: Assessment of empirical diffusion-weighted MRI (DW-MRI) models in cervical tumours to investigate whether fitted parameters distinguish between types and grades of tumours. METHODS: Forty-two patients (24 squamous cell carcinomas, 14 well/moderately differentiated, 10 poorly differentiated; 15 adenocarcinomas, 13 well/moderately differentiated, two poorly differentiated; three rare types) were imaged at 3 T using nine b-values (0 to 800 s mm-2). Mono-exponential, stretched exponential, kurtosis, statistical, and bi-exponential models were fitted. Model preference was assessed using Bayesian Information Criterion analysis. Differences in fitted parameters between tumour types/grades and correlation between fitted parameters were assessed using two-way analysis of variance and Pearson's linear correlation coefficient, respectively. RESULTS: Non-mono-exponential models were preferred by 83 % of tumours with bi-exponential and stretched exponential models preferred by the largest numbers of tumours. Apparent diffusion coefficient (ADC) and diffusion coefficients from non-mono-exponential models were significantly lower in poorly differentiated tumours than well/moderately differentiated tumours. α (stretched exponential), K (kurtosis), f and D* (bi-exponential) were significantly different between tumour types. Strong correlation was observed between ADC and diffusion coefficients from other models. CONCLUSIONS: Non-mono-exponential models were preferred to the mono-exponential model in DW-MRI data from cervical tumours. Parameters of non-mono-exponential models showed significant differences between types and grades of tumours. KEY POINTS: • Non-mono-exponential DW-MRI models are preferred in the majority of cervical tumours. • Poorly differentiated cervical tumours exhibit lower diffusion coefficients than well/moderately differentiated tumours. • Non-mono-exponential model parameters α, K, f, and D* differ between tumour types. • Micro-structural features are likely to affect parameters in non-mono-exponential models differently. | |
dc.format | Print-Electronic | |
dc.format.extent | 627 - 636 | |
dc.language | eng | |
dc.language.iso | eng | |
dc.publisher | SPRINGER | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0 | |
dc.subject | Cervix Uteri | |
dc.subject | Humans | |
dc.subject | Adenocarcinoma | |
dc.subject | Carcinoma, Squamous Cell | |
dc.subject | Diffusion Magnetic Resonance Imaging | |
dc.subject | Bayes Theorem | |
dc.subject | Prospective Studies | |
dc.subject | Models, Theoretical | |
dc.subject | Uterine Cervical Neoplasms | |
dc.subject | Female | |
dc.subject | Male | |
dc.subject | Neoplasm Grading | |
dc.title | Separation of type and grade in cervical tumours using non-mono-exponential models of diffusion-weighted MRI. | |
dc.type | Journal Article | |
dcterms.dateAccepted | 2016-05-13 | |
rioxxterms.versionofrecord | 10.1007/s00330-016-4417-0 | |
rioxxterms.licenseref.uri | https://creativecommons.org/licenses/by/4.0 | |
rioxxterms.licenseref.startdate | 2017-02 | |
rioxxterms.type | Journal Article/Review | |
dc.relation.isPartOf | European radiology | |
pubs.issue | 2 | |
pubs.notes | No embargo | |
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/Primary Group/Royal Marsden Clinical Units | |
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/Primary Group/Royal Marsden Clinical Units | |
pubs.publication-status | Published | |
pubs.volume | 27 | |
pubs.embargo.terms | No embargo | |
icr.researchteam | Magnetic Resonance | |
dc.contributor.icrauthor | Collins, David | |
dc.contributor.icrauthor | deSouza, Nandita | |