Liver acquisition with volume acceleration flex on 70-cm wide-bore and 60-cm conventional-bore 3.0-T MRI

Saito, Shigeyoshi; Tanaka, Keiko; Hashido, Takashi

doi:10.1007/s12194-015-0344-z

Cited by 9 publications

(6 citation statements)

References 26 publications

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“…This could be a concern for larger patients. A wide‐bore (70 cm) MRI scanner can be used for DCE‐MRI if necessary, as it has demonstrated comparable performance to a closed‐bore (60 cm) MR scanner for abdominal imaging . However, B1 field inhomogeneity may be increased in wide‐bore MRI scanners, so a reliable method of B1 mapping will need to be used.…”

Section: Discussionmentioning

confidence: 99%

“…A wide-bore (70 cm) MRI scanner can be used for DCE-MRI if necessary, as it has demonstrated comparable performance to a closed-bore (60 cm) MR scanner for abdominal imaging. 40 However, B1 field inhomogeneity may be increased in wide-bore MRI scanners, so a reliable method of B1 mapping will need to be used. Eventually, the phantom package could be inserted within the MRI bed, but it would have to be included within the field of view and the surface coil.…”

Section: Discussionmentioning

confidence: 99%

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Portable perfusion phantom for quantitative DCE‐MRI of the abdomen

et al. 2017

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Purpose To develop a portable perfusion phantom and validate its utility in quantitative dynamic contrast-enhanced magnetic resonance imaging of the abdomen. Methods A portable perfusion phantom yielding a reproducible contrast enhancement curve (CEC) was developed. A phantom package including perfusion and static phantoms were imaged simultaneously with each of three healthy human volunteers in two different 3T MR scanners. Look-up tables correlating reference (known) contrast concentrations with measured ones were created using either the static or perfusion phantom. Contrast maps of image slices showing four organs (liver, spleen, pancreas, and paravertebral muscle) were generated before and after data correction using the look-up tables. The contrast concentrations at 4.5 minutes after dosing in each of the four organs were averaged for each volunteer. The mean contrast concentrations (4 organs x 3 volunteers = 12) were compared for the two scanners, and the intra-class correlation coefficient (ICC) was calculated. Also, the ICC of the mean Ktrans values between the two scanners was calculated before and after data correction. Results The repeatability coefficient of CECs of perfusion phantom was higher than 0.997 in all measurements. The ICC of the tissue contrast concentrations between the two scanners was 0.693 before correction, but increased to 0.974 after correction using the look-up tables (LUTs) of perfusion phantom. However, the ICC was not increased after correction using static phantom (ICC: 0.617). Similarly, the ICC of the Ktrans values was 0.899 before correction, but increased to 0.996 after correction using perfusion phantom LUTs. The ICC of the Ktrans values, however, was not increased when static phantom LUTs were used (ICC: 0.866). Conclusions The perfusion phantom reduced variability in quantifying contrast concentration and Ktrans values of human abdominal tissues across different MR units, but static phantom did not. The perfusion phantom has the potential to facilitate multi-institutional clinical trials employing quantitative DCE-MRI to evaluate various abdominal malignancies.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Portable perfusion phantom for quantitative DCE‐MRI of the abdomen

et al. 2017

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“…To solve this problem, MRI manufacturers use various RF subsystems, including the total image matrix from Siemens, geometry-embracing method from GE, and dStream from Philips, to improve the magnet homogeneity (Sobol, 2012 ). The results of clinical practice have showed that a 70-cm wide-bore magnet system has realized the perfect combination of the high-quality imaging with the patient comfort (Kim et al, 2015 ; Tarnoki et al, 2015 ; Saito et al, 2016 ). In this study the high resolution spectra of metabolites included glutamate are acquired reliably at a 70-cm wide-bore magnet system.…”

Section: Discussionmentioning

confidence: 99%

Reliability of Glutamate Quantification in Human Nucleus Accumbens Using Proton Magnetic Resonance Spectroscopy at a 70-cm Wide-Bore Clinical 3T MRI System

Liu

et al. 2017

Front. Neurosci.

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The human nucleus accumbens is a challenging region to study using proton magnetic resonance spectroscopy (1H-MRS) on a 70-cm wide-bore clinical 3T MRI system. The aim of this study was to investigate the reliability for quantitative measurement of glutamate concentration in the nucleus accumbens using a 70-cm wide-bore clinical 3T MRI. 1H-MRS of the nucleus accumbens was acquired using the Point-Resolved Spectroscopic Sequence (PRESS) with echo time of 40 ms from 10 healthy volunteers (5 female; age range: 18–30 years) on two separate visits (a baseline, and 1-month time point). The Java-based Magnetic Resonance User Interface (jMRUI) software package was used to quantitatively measure the absolute metabolite concentrations. The test-retest reliability and reproducibility were assessed using intraclass correlations coefficients (ICC), and coefficients of variation (CV). Glutamate concentrations were similar across visits (P = 0.832). Reproducibility measures for all metabolites were good with CV ranging from 7.8 to 14.0%. The ICC values of all metabolites for the intra-class measures were excellent (ICC > 0.8), except that the reliability for Glx (glutamate + glutamine) was good (ICC = 0.768). Pearson correlations for all metabolites were all highly significant (r = 0.636–0.788, P < 0.05). In conclusion, the short-echo-time PRESS can reliably obtain high quality glutamate spectrum from a ~3.4 cm3 voxel of the nucleus accumbens using a 70-cm wide-bore clinical 3T MRI.

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“…T2w FS images are sensitive to water tissue content, and CE T1w can show enhancing regions within the tumor and distinguish necrosis and solid tumor . Compared with conventional fat suppression T1‐weighed images, LAVA‐Flex can offer superior image quality, less motion artifact, and more homogenous fat suppression, as has been shown in skeletal tumors …”

mentioning

confidence: 99%

“…5 Compared with conventional fat suppression T1-weighed images, LAVA-Flex can offer superior image quality, less motion artifact, and more homogenous fat suppression, as has been shown in skeletal tumors. [6][7][8] In clinical practice, however, SMT, SC, and SGCT share many common imaging characteristics.1 Although most patients are diagnosed by biopsy. Biopsies are invasive, and the result can vary largely depending on which part of the tumor is sampled due to tumor heterogeneity.…”

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confidence: 99%

A Triple‐Classification Radiomics Model for the Differentiation of Primary Chordoma, Giant Cell Tumor, and Metastatic Tumor of Sacrum Based on T2‐Weighted and Contrast‐Enhanced T1‐Weighted MRI

Yin

Mao

Zhao

et al. 2018

Magnetic Resonance Imaging

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Background Preoperative differentiation between primary sacral chordoma (SC), sacral giant cell tumor (SGCT), and sacral metastatic tumor (SMT) is important for treatment decisions. Purpose To develop and validate a triple‐classification radiomics model for the preoperative differentiation of SC, SGCT, and SMT based on T2‐weighted fat saturation (T2w FS) and contrast‐enhanced T1‐weighted (CE T1w) MRI. Study type Retrospective. Population A total of 120 pathologically confirmed sacral patients (54 SCs, 30 SGCTs, and 36 SMTs) were retrospectively analyzed and divided into a training set (n = 83) and a validation set (n = 37). Field strength/sequence The 3.0T axial T2w FS and CE T1w MRI. Assessment Morphology, intensity, and texture features were assessed based on Formfactor, Haralick, Gray‐level co‐occurrence matrix (GLCM), Gray‐level run‐length matrix (GLRLM), histogram. Statistical tests Analysis of variance, least absolute shrinkage and selection operator (LASSO), Pearson correlation, Random Forest (RF), area under the receiver operating characteristic curve (AUC) and accuracy analysis. Results The median age of SGCT (33.5, 25.3–45.5) was significantly lower than those of SC (58.0, 48.8–64.3) and SMT (59.0, 46.3–65.5) groups (χ2 = 37.6; P < 0.05). No significant difference was found when compared in terms of genders, tumor locations, and tumor sizes of SC, SGCT, and SMT (χgender2=3.75,χlocation2=2.51,χsize2=5.77; P1 = 0.15, P2 = 0.29, P3 = 0.06). For the differential value, features extracted from joint T2w FS and CE T1w images outperformed those from T2w FS or CE T1w images alone. Compared with CE T1w images, features derived from T2w FS images yielded higher AUC in both training and validating set. The best performance of radiomics model based on joint T2w FS and CE T1w images reached an AUC of 0.773, an accuracy of 0.711. Data conclusion Our 3.0T MRI‐based triple‐classification radiomics model is feasible to differentiate SC, SGCT, and SMT, which may be applied to improve the precision of preoperative diagnosis in clinical practice. Level of Evidence: 4 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2019;49:752–759.

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Liver acquisition with volume acceleration flex on 70-cm wide-bore and 60-cm conventional-bore 3.0-T MRI

Cited by 9 publications

References 26 publications

Portable perfusion phantom for quantitative DCE‐MRI of the abdomen

Portable perfusion phantom for quantitative DCE‐MRI of the abdomen

Reliability of Glutamate Quantification in Human Nucleus Accumbens Using Proton Magnetic Resonance Spectroscopy at a 70-cm Wide-Bore Clinical 3T MRI System

A Triple‐Classification Radiomics Model for the Differentiation of Primary Chordoma, Giant Cell Tumor, and Metastatic Tumor of Sacrum Based on T2‐Weighted and Contrast‐Enhanced T1‐Weighted MRI

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