当前位置： SCI文献检索 > EUROPEAN RADIOLOGY期刊下所有文献 > Separation of type and grade in cervical tumours using non-mono-exponential models of diffusion-weighted MRI.

Separation of type and grade in cervical tumours using non-mono-exponential models of diffusion-weighted MRI.

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.

journal_name

Eur Radiol

journal_title

European radiology

authors

Winfield JM,Orton MR,Collins DJ,Ind TE,Attygalle A,Hazell S,Morgan VA,deSouza NM

doi

10.1007/s00330-016-4417-0

subject

Has Abstract

pub_date

2017-02-01 00:00:00

pages

627-636

issue

eissn

0938-7994

issn

1432-1084

pii

10.1007/s00330-016-4417-0

journal_volume

pub_type

杂志文章

在线工具

Separation of type and grade in cervical tumours using non-mono-exponential models of diffusion-weighted MRI.