Noninvasive assessment of endometrial fibrosis in patients with intravoxel incoherent motion MR imaging

AbstractRecently, few noninvasive methods have been reported to evaluate endometrial fibrosis. Our study was to investigate the feasibility of intravoxel incoherent motion (IVIM) MR imaging in the detection of endometrial fibrosis in patients with intrauterine injury. 30 patients with hysteroscopy-confirmed endometrial fibrosis and 28 healthy women were enrolled to undergo MR examination including the IVIM sequence. Endometrial thickness (ET); apparent diffusion coefficient (ADC); and IVIM parameters, including pure diffusion coefficient (D), pseudodiffusion coefficient (D*) and vascular fraction (f) were evaluated. A multivariable model combing ADC, D, and f values using binary logistic regression analysis was built to diagnose endometrial fibrosis. Endometrial fibrosis patients demonstrated lower endometrial ADC, D, f values and ET (all p < 0.05). The multivariable model, ADC, D, f values and ET performed well in diagnosing endometrial fibrosis with AUC of 0.979, 0.965, 0.920, 0.901 and 0.833, respectively. The multivariable model revealed a better diagnostic accuracy than D, f and ET (all p < 0.05). Although ADC achieved a better diagnostic value than ET (z = 2.082, p < 0.05), no difference in AUC was shown among ADC, D, and f (all p > 0.05); between ET and D (p > 0.05); and between ET and f (p > 0.05). The reproducibility of ADC, D, f and D* values in patients with endometrial fibrosis and healthy women were good to excellent (ICC: 0.614–0.951). IVIM parameters exhibit promising potential to serve as imaging biomarkers in the noninvasive assessment of endometrial fibrosis.

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Evaluation of Regional Variability and Measurement Reproducibility of Intravoxel Incoherent Motion Diffusion Weighted Imaging Using a Cardiac Stationary Phase Based ECG Trigger Method

BioMed Research International ◽

10.1155/2018/4604218 ◽

2018 ◽

Vol 2018 ◽

pp. 1-11 ◽

Cited By ~ 3

Author(s):

Zhiming Xiang ◽

Zhu Ai ◽

Jianke Liang ◽

Guijin Li ◽

Xiaolei Zhu ◽

...

Keyword(s):

Diffusion Coefficient ◽

Stationary Phase ◽

Diffusion Weighted Imaging ◽

Intravoxel Incoherent Motion ◽

Regional Variability ◽

Altman Plot ◽

Bland Altman Plot ◽

Hepatic Lobe ◽

Diffusion Weighted ◽

Pure Diffusion

Purpose. To evaluate the performance of an optimized ECG trigger diffusion weighted imaging (DWI) sequence in liver and its application in liver disease. Materials and Methods. Eighteen healthy volunteers underwent intravoxel incoherent motion diffusion weighted imaging (IVIM-DWI) scan of the liver twice in 1.5T MR scanner with signed informed consent approved by local ethic committees. A new method, called cardiac stationary phase based ECG trigger (CaspECG), and FB method were applied. The apparent diffusion coefficient (ADC) and the IVIM parameters, including pure diffusion coefficient (D), perfusion-related diffusion coefficient (D⁎), and perfusion fraction, (PF) were calculated, and then 18 region of interests were drawn on these parameter maps independently by two readers through whole hepatic lobe. The regional variability and reproducibility between two repeated scans were evaluated using interclass correlation coefficients (ICCs) and Bland-Altman plot, respectively, and compared between the CaspECG and FB methods. The signal-to-noise ratio (SNR) of DWI data was also evaluated. Result. Compared to the FB method, the proposed CaspECG method showed significant higher SNRs in DWI data, lower regional variability between left and right hepatic lobes, and higher reproducibility of ADC, PF, D, and D⁎ between repeat scans [left lobe, limit of agreement (LOA) of Bland-Altman plot: 10.1%, 18.3%, 19.8%, and 59.2%; right lobe, LOA: 10.25%, 14.15%, 16.45%, and 39.45%]. D⁎ showed the worst reproducibility in all parameters. Conclusion. The novel CaspECG method outperformed the FB method in compensating the cardiac motion induced artifacts in DWI data and generating more reliable quantitative parameters, with less regional variability and higher repeatability, especially in the left hepatic lobe.

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The Value of Intravoxel Incoherent Motion (IVIM) Magnetic Resonance Imaging in the Evaluation of the Osteosarcoma Response to Preoperative Neoadjuvant Chemotherapy in Teens

Concepts in Magnetic Resonance Part A ◽

10.1155/2019/2918763 ◽

2019 ◽

Vol 2019 ◽

pp. 1-8 ◽

Cited By ~ 1

Author(s):

Houdong Zuo

Keyword(s):

Magnetic Resonance Imaging ◽

Diffusion Coefficient ◽

Magnetic Resonance ◽

Neoadjuvant Chemotherapy ◽

Roc Curves ◽

Intravoxel Incoherent Motion ◽

Imaging Biomarkers ◽

Fast Diffusion ◽

Resonance Imaging ◽

Before And After

Purpose. To investigate the value of intravoxel incoherent motion (IVIM) magnetic resonance imaging in the evaluation of the osteosarcoma (OS) response to preoperative neoadjuvant chemotherapy (NAC) in teens. Methods. Eighteen consecutive osteosarcoma patients (12 males and 6 females) diagnosed by histopathology were enrolled. All enrolled patients received NAC and underwent MRI examinations before and after 2 cycles of NAC. The volume (V), apparent diffusion coefficient (ADC), (slow) diffusion coefficient (D), pseudo-perfusion (fast) diffusion coefficient (D⁎or D star), and perfusion fractions (f) of the OS before and after NAC were measured and analysed. The sensitivity and the specificity of the ADC, D, D⁎ and f values and the correlation between changes in volume (ΔV) and the IVIM-derived parameters (ΔADC, ΔD, ΔD⁎ and Δf) were also calculated and analysed. Paired Student’s t-tests, receiver operating characteristic (ROC) curves, and Spearman correlation analyses were used. Results. The mean volume of the OS after NAC decreased significantly (61.55±9.3 cm3 vs 40.26±4.1 cm3) (P<0.05). After NAC, the ADC (1.21±0.09 × 10-3 mm2/s vs 1.73±0.11 × 10-3 mm2/s) and D (1.14±0.09 × 10-3 mm2/s vs 1.63±0.1 × 10-3 mm2/s) values increased and f (28.58±1.37% vs 20.93±1.16%) values decreased significantly (P<0.05), while D⁎ (9.17±0.98 × 10-3 mm2/s vs 8.94±0.13 × 10-3 mm2/s) values changed slightly (P>0.05). The AUC values of ADC (0.938) and D (0.943) were higher than those of D⁎ (0.574) and f (0.765). The sensitivity and specificity of ADC (0.778, 1) and D (0.944, 0.833) values were superior to those of D⁎ (0.278, 0.722) and f (0.5, 0.944) values. No significant correlations were found between the ΔV and ΔADC, ΔD, ΔD⁎ and Δf values (P>0.05). Conclusion. IVIM-derived parameters ADC and D have the potential to be imaging biomarkers for evaluation of the therapeutic response to NAC in OS patients.

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Comparison of Intravoxel Incoherent Motion Diffusion-Weighted MR Imaging and Arterial Spin Labeling MR Imaging in Gliomas

BioMed Research International ◽

10.1155/2015/234245 ◽

2015 ◽

Vol 2015 ◽

pp. 1-10 ◽

Cited By ~ 20

Author(s):

Yuankai Lin ◽

Jianrui Li ◽

Zhiqiang Zhang ◽

Qiang Xu ◽

Zhenyu Zhou ◽

...

Keyword(s):

Diffusion Coefficient ◽

White Matter ◽

Mr Imaging ◽

Arterial Spin Labeling ◽

Spin Labeling ◽

Intravoxel Incoherent Motion ◽

Low Grade ◽

High Grade ◽

Low Grade Gliomas ◽

High Grade Gliomas

Gliomas grading is important for treatment plan; we aimed to investigate the application of intravoxel incoherent motion (IVIM) diffusion-weighted imaging (DWI) in gliomas grading, by comparing with the three-dimensional pseudocontinuous arterial spin labeling (3D pCASL). 24 patients (13 high grade gliomas and 11 low grade gliomas) underwent IVIM DWI and 3D pCASL imaging before operation; maps of fast diffusion coefficient (D∗), slow diffusion coefficient (D), fractional perfusion-related volume (f), and apparent diffusion coefficient (ADC) as well as cerebral blood flow (CBF) were calculated and then coregistered to generate the corresponding parameter values. We found CBF andD∗were higher in the high grade gliomas, whereas ADC,D, andfwere lower (allP<0.05). In differentiating the high from low grade gliomas, the maximum areas under the curves (AUC) ofD∗, CBF, and ADC were 0.857, 0.85, and 0.902, respectively. CBF was negatively correlated withfin tumor (r=-0.619,P=0.001). ADC was positively correlated withDin both tumor and white matter (r=0.887,P=0.000andr=0.824,P=0.000, resp.). There was no correlation between CBF andD∗in both tumor and white matter (P>0.05). IVIM DWI showed more efficiency than 3D pCASL but less validity than conventional DWI in differentiating the high from low grade gliomas.

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