2021
DOI: 10.1002/jmri.27847
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Short‐Term Repeatability of in Vivo Cardiac Intravoxel Incoherent Motion Tensor Imaging in Healthy Human Volunteers

Abstract: Background Intravoxel incoherent motion (IVIM) tensor imaging is a promising technique for diagnosis and monitoring of cardiovascular diseases. Knowledge about measurement repeatability, however, remains limited. Purpose To evaluate short‐term repeatability of IVIM tensor imaging in normal in vivo human hearts. Study Type Prospective. Population Ten healthy subjects without history of heart diseases. Field Strength/Sequence Balanced steady‐state free‐precession cine sequence and single‐shot spin‐echo echo plan… Show more

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Cited by 5 publications
(4 citation statements)
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“…However, the current cohort size is comparable to previous IVIM reliability studies [51][52][53][54] .…”
Section: Limitationssupporting
confidence: 74%
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“…However, the current cohort size is comparable to previous IVIM reliability studies [51][52][53][54] .…”
Section: Limitationssupporting
confidence: 74%
“…Furthermore, our results in the cervical cord show high repeatability compared to previous studies on IVIM reliability which used different acquisition protocols and fitting approaches in different organs 46,5053 . A previous study applying IVIM in head and neck tissues reported CVs of F and D* varying between 15.27% and 22.14 %, and 29.24% and 41.80%, respectively 51 .…”
Section: Discussionsupporting
confidence: 62%
“…The NME models mainly include the intravoxel incoherent motion (IVIM), diffusion kurtosis and stretched exponential models [16][17][18] . The parameters derived from these models can reflect tumor microstructure, spatial heterogeneity and microvascular perfusion 19,20 . In the literature, these model parameters have been demonstrated to be the potential indicators for the prediction of receptor statuses and proliferation rates [21][22][23] .…”
Section: Introductionmentioning
confidence: 99%
“…[15][16][17] The parameters derived from these models can reflect tumor microstructure, spatial heterogeneity, and microvascular perfusion. 18,19 In the literature, these model parameters have been demonstrated to be the potential indicators for the prediction of receptor statuses and proliferation rates. 12,20,21 To date, however, the radiomic analysis of NME-DWI for determining the prognostic biomarkers and molecular subtypes of breast cancer still needs to be explored further.…”
mentioning
confidence: 99%