IMAge/enGINE: a freely available software for rapid computation of high-dimensional quantification

Yang, Mei; Yan, Yaping; Wang, He

doi:10.21037/qims.2018.12.03

Cited by 28 publications

(9 citation statements)

References 18 publications

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“…The IVIM is a bi-exponential model that describes microscale translational movement within imaging voxels with f, representing the relative amount of blood flow in the vascular bed (34). The mean placental perfusion fraction was 41%, similar to the research of Siauve et al (42.5%) (38), but higher than in other previous reports (21)(22)(23)26,31,34). Controversy remains whether the perfusion fraction is stable during gestation or whether it increases or decreases (26,32,33,38).…”

Section: Discussionsupporting

confidence: 66%

Standard diffusion-weighted, diffusion kurtosis and intravoxel incoherent motion MR imaging of the whole placenta: a pilot study of volumetric analysis

Lü¹,

Wang²,

Guo³

et al. 2022

Ann Transl Med

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Background: Using magnetic resonance imaging (MRI) to explore the changes in microvascular perfusion fraction and the heterogeneity of the placenta during pregnancy.Methods: We retrospectively reviewed 24 patients with normal pregnancies who underwent standard diffusion-weighted, diffusion kurtosis, and intravoxel incoherent motion MRI. The mean, minimum and maximum parameters including the apparent diffusion coefficient (ADC) and exponential ADC (eADC) from standard diffusion-weighted imaging (DWI), the diffusion coefficient (MD) and diffusion kurtosis (MK) from diffusion kurtosis imaging (DKI), and the pure diffusion coefficient (D), pseudo-diffusion coefficient (D*) and perfusion fraction (f) from intravoxel incoherent motion MR imaging (IVIM) were calculated from the whole placenta volumetric analysis and correlated with gestational age (GA) and volume of the placenta.Results: A significant positive correlation was found between eADC mean, eADC max, MK mean, MK max, the volume of the whole placenta, and GA, and a negative correlation was found between ADC mean, ADC min, MD min, D mean, D min, D* min and GA. The f mean and MK max values positively correlated with the volume of the whole placenta.Conclusions: eADC mean, eADC max, MK mean, MK max values increased with GA, while ADC mean, ADC min, MD min, D mean, D min, D* min decreased with GA. Secondly, the f mean and MK max also increased with placental volume. These results suggest the potential of diffusion and perfusion parameters to evaluate the placenta during its development using different DWI models.

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Section: Discussionsupporting

confidence: 66%

Standard diffusion-weighted, diffusion kurtosis and intravoxel incoherent motion MR imaging of the whole placenta: a pilot study of volumetric analysis

Lü¹,

Wang²,

Guo³

et al. 2022

Ann Transl Med

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“…The image with obvious distortion and artifacts will be excluded. Multiple b value DWI data were post-processed in IMAge/enGINE MRI Diffusion Toolbox (Beta V2.0.3; Vision Tech, Hefei, China) 22 for quantitative analysis. ADC values were calculated using monoexponential model 23…”

Section: Image Analysismentioning

confidence: 99%

Intravoxel Incoherent Motion Diffusion‐Weighted Imaging for Predicting and Monitoring the Response of Anti‐Angiogenic Treatment in the Orthotopic Nude Mouse Model of Lung Adenocarcinoma

Wan

Bao

Xia

et al. 2021

Magnetic Resonance Imaging

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Background: The treatment efficacy of angiogenesis inhibitor could be underestimated at an early stage based on tumor volume changes. Intravoxel incoherent motion diffusion-weighted imaging (IVIM-DWI) can quantitatively assess tumors at the cellular level, but it is unclear whether it can provide useful information for assessing treatment response of antiangiogenic treatment for lung adenocarcinoma. Purpose: To determine the use of IVIM-DWI for non-invasive monitoring of the early response to anti-angiogenic treatment in the orthotopic transplantation of lung adenocarcinoma model. Study Type: Prospective. Population: Thirty-seven nude mice were randomized into two groups: treatment group (received bevacizumab + cisplatin, N = 20) and control group (received saline, N = 17). Field Strength/Sequence: Single-shot turbo spin-echo (TSE) IVIM-DWI, TSE T2-weighted imaging at 3.0 T. Assessment: Tumor volume, IVIM parameters (apparent diffusion coefficient [ADC], diffusivity [D], perfusion fraction [f], and pseudo-diffusion coefficient [D*]) were measured before and 2 hours, 3, 7, 10 and 14 days after treatment. Regions of interest were manually drawn along the inner edge of the tumor by two radiologists with 5 and 10-year experience in magnetic resonance imaging. Pathological examinations (hematoxylin and eosin stain, cluster of differentiation 34) were performed. Statistical Tests: Kolmogorov-Smirnov test, repeated-measure two-way analysis of variance test, Mann-Whitney U test, Pearson correlation analysis, receiver operating characteristic curve. P < 0.05 was considered statistically significant. Results: The tumor volume of the two groups was significantly different only on day 14 (control group vs. treatment group, 43.15 AE 18.28 mm 3 vs. 28.41 AE 1.71 mm 3 ). ADC 2h , ADC 10d , D 2h , D 7d , D 10d , and D 14d were significantly higher, while f 10d and f 14d were significantly lower in the treatment group compared to those of the control group. Both the 4ADC 2h (r = À0.631) and 4D 2h (r = À0.700) showed moderate correlations with the relative tumor volume on day 14. Data Conclusion: IVIM has the potential to predict and monitor the early response to anti-angiogenic treatment, earlier than size changes, for lung adenocarcinoma. Level of Evidence: 2 Technical Efficacy: Stage 4

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“…The DKI model was expressed as follows 26 :

s_{b} = S_{0} e^{- bMD + \frac{1}{6} b^{2} {MD}^{2} MK}

where S b and S 0 represent the signal intensity when b takes a specific value and b = 0 (s/mm 2 ), respectively, MD is the mean diffusion coefficient, and MK is the mean kurtosis coefficient. DKI images were imported into the IMAge/enGINE MRI diffusion software (v. 2.2, Vision Tech, Hefei, China) in DICOM format to obtain MD and MK maps 27 . Based on the DKI image (b = 1000), ROI was plotted with reference to the DCE‐MRI image.…”

Section: Methodsmentioning

confidence: 99%

“…DKI images were imported into the IMAge/enGINE MRI diffusion software (v. 2.2, Vision Tech, Hefei, China) in DICOM format to obtain MD and MK maps. 27 Based on the DKI image (b = 1000), ROI was plotted with reference to the DCE-MRI image. The parameters were measured three times and averaged, and the average of results from two observers was used for statistical analysis.…”

Section: Imaging Analysismentioning

confidence: 99%

Application of Diffusion Kurtosis Imaging and Dynamic Contrast‐Enhanced Magnetic Resonance Imaging in Differentiating Benign and Malignant Head and Neck Lesions

Cheng

Shao

Chen

et al. 2021

Magnetic Resonance Imaging

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Background: Preoperative differentiation of head and neck lesions is important for treatment plan selection. Purpose: To evaluate the diagnostic value of diffusion kurtosis imaging (DKI) and dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) in differentiating benign from malignant head and neck lesions and subgroups, including lymphoma subgroup (LS), Warthin's tumor subgroup (WS), malignant tumor subgroup (excluding lymphoma) (MTS), and benign tumor subgroup (excluding Warthin's tumor) (BTS). Study Type: Retrospective. Population: Seventy-four patients with 79 head and neck lesions (44 benign, 35 malignant), divided into four subgroups: LS ( 14), WS (12), MTS (21), and BTS (32). Field Strength/Sequences: A 3.0 T, single-shot echo-planar sequence with 5 b-values for DKI and enhanced T1 highresolution isotropic volume excitation (eTHRIVE) sequence for DCE-MRI. Assessment: The mean diffusivity (MD) and mean kurtosis (MK) derived from DKI and the time-signal intensity curve (TIC), peak time (T peak ), and washout ratio (WR) based on DCE-MRI were measured. The diagnostic efficiencies of DKI and DCE-MRI, alone and in combination, were calculated and compared. The parameters mentioned above were compared between the four subgroups. Statistical Test: Mann-Whitney U test, chi-square test, receiver operating characteristic curve, Delong test, one-way analysis of variance test, and Kruskal-Wallis H test. A P value < 0.05 was considered statistically significant. Results: The combination of TIC and parameters of DKI and DCE-MRI for differentiating benign and malignant lesions with 94.94% accuracy is superior to DKI or DCE-MRI alone with approximately 75% accuracy. MD, MK, T peak , and WR showed significant differences among the four subgroups. The accuracy of MD and MK was 91.14% and 92.41% for differentiating BTS from the other three subgroups. WR achieved 100% accuracy for discriminating WS from LS or MTS. MD and MK both differentiated LS from MTS with 97.14% accuracy. Data Conclusion: A combination of DKI and DCE-MRI can effectively differentiate head and neck lesions with good accuracy.

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IMAge/enGINE: a freely available software for rapid computation of high-dimensional quantification

Cited by 28 publications

References 18 publications

Standard diffusion-weighted, diffusion kurtosis and intravoxel incoherent motion MR imaging of the whole placenta: a pilot study of volumetric analysis

Standard diffusion-weighted, diffusion kurtosis and intravoxel incoherent motion MR imaging of the whole placenta: a pilot study of volumetric analysis

Intravoxel Incoherent Motion Diffusion‐Weighted Imaging for Predicting and Monitoring the Response of Anti‐Angiogenic Treatment in the Orthotopic Nude Mouse Model of Lung Adenocarcinoma

Application of Diffusion Kurtosis Imaging and Dynamic Contrast‐Enhanced Magnetic Resonance Imaging in Differentiating Benign and Malignant Head and Neck Lesions

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