TheapplicationofspectralvirtualnonGcontrastCTinthyroiddiseases
10.3969/j.issn.1002-1671.2019.03.030
- VernacularTitle:能谱虚拟平扫在甲状腺疾病中的应用
- Author:
Zhiqi YANG
1
;
Xiaofeng CHEN
;
Xiangguang CHEN
Author Information
1. 梅州市人民医院放射科
- Keywords:
thyroid;
virtualnonGcontrast;
computedtomography
- From:
Journal of Practical Radiology
2019;35(3):455-458
- CountryChina
- Language:Chinese
-
Abstract:
Objective ToinvestigatethefeasibilityofspectralvirtualnonGcontrast(VNC)takingtheplaceoftruenonGcontrast (TNC)inthyroiddiseases.Methods CTimagesof30patientswiththyroiddiseasewerecollected,includingTNC,spectraldualGphase contrastandconventionaldelayedcontrastimaging.36lesionswithcorrespondingsurgeryandpathologicalconditionswereselected forretrospectiveanalysis.Theradiationdose,imagequality,meanCTvalues,SNRanddiagnosticefficacybetweenTNCand VNC werecompared.Results Theeffectivedose(ED)andtotaldoseGlengthproduct(DLP)ofthespectraldualGphasecontrastscanswere bothsignificantlylowerthanthoseofTNCincombinationwithconventionaldualGphasecontrast(P＜0.05).Thesubjectivequality scoreofVNCwasslightlylowerthanthatofTNC (P＜0.05),howeveritwasacceptableforradiologistwithascoreabove3.The SNRofVNCimageswassignificantlylowerthanthatofTNC (P＜0.05).The meanCTvaluesofVNCimageswerelowerthan thoseofTNCimagesbutwithoutasignificantdifference(P＞0.05).TheabilityofVNCtodelineatenecrosis,calcification,andlymph nodemetastasisinthelesionwasconsistentwithTNC (k＞0.75).Conclusion TheimagequalityofVNCissatisfiedinthediagnosis ofthyroiddiseases.VNChassimilardiagnosticefficacytoTNCwitheffectivelyreducdingradiationdose,whichisapromisingclinical application.
