Evaluation of Respiratory Triggered Diffusion-Weighted MRI with Three b-Values Compared to ADC Map and Fast Spin Echo Heavily T2W in Differential Diagnosis of Hemangioma from Malignant Liver Lesions

Khorram, Faezeh-Sadat; Faeghi, Fariborz; Jafarisepehr, Amirhosein; Farshidfar, Zahra

doi:10.1016/j.jmir.2018.04.026

Cited by 2 publications

(2 citation statements)

References 30 publications

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“…Therefore, it is difficult to ensure that the trigger at the end of breath is at the same level of liver tissue on T2-weighted imaging scanning, which leads to the increase of artifacts, structural disorder, irregular shape of hepatic blood vessels, and decrease of signal-to-noise ratio. [18] At present, most of the liver MRI scans in clinics will use different trigger technology and propeller technology, [19][20][21] but it is still very hard to obtain satisfactory liver T2-weighted imaging.…”

Section: Discussionmentioning

confidence: 99%

Compare image quality of T2-weighted imaging with different phase acceleration factors

Ding

Lu²,

Xu³

et al. 2023

Medicine

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Previous studies demonstrated that adjusting the phase acceleration (PA) factors could influence image quality. To improve image quality and decrease respiratory artifacts of lesions in the liver on T2-weighted image by adjusting PA factor and number of excitation (NEX). Sixty consecutive patients with hepatic lesions were enrolled in this prospective research between May 2020 and June 2020. All patients had 3.0T magnetic resonance imaging with 4 sequences (combining PA factors and NEXs, the former was 2 and 3, the latter were 1.5 and 2, respectively, with the same other scanning parameters). Two readers used 5-point quality scales to assess image quality. The signal intensity was measured by drawing regions of interest in the liver, spleen, and background on the T2-weighted imaging. Artifacts, overall image impression, and vascular conspicuity were better when the PA factor was 3 than 2. Artifacts and vascular conspicuity were better when NEX was 2 than 1.5. PA factor 3 and NEX 2 got a higher score in 5-point quality scales and less scan time than the other 3 sequences. Meanwhile, the signal-to-noise ratio of PA factor 3 and NEX 2 was best among these 4 sequences. PA factor and NEX could influence the imaging quality and lesion-to-hepatic contrast in detecting hepatic lesions on T2-weighted images. PA factor 3 and NEX 2 may have a positive effect in the clinic, especially for those with irregular respiration, as it decreased artifacts and reduced scan time.Abbreviations: ARC = auto calibrating reconstruction for cartesian imaging, MRI = magnetic resonance imaging, NEX = number of excitation, PA = phase acceleration, ROI = region of interest, SI = signal intensities, SNR = signal-to-noise ratio.

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Section: Discussionmentioning

confidence: 99%

Compare image quality of T2-weighted imaging with different phase acceleration factors

Ding

Lu²,

Xu³

et al. 2023

Medicine

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“…The 84%-and 67%-compensated encodings aimed to overcome the black-blood limitation of the acceleration-compensated encoding and suppressed the blood signal quite well, which was a reasonable result. In many DWI liver studies, 50 s/mm 2 (instead of 0 s/mm 2 ) is used as small b-value to suppress bright blood signal [36][37][38]. With usual monopolar waveforms at 70 ms echo time, this approximately refers to an M 1 -weighting of 1.5 s/mm.…”

Section: Plos Onementioning

confidence: 99%

Impact of velocity- and acceleration-compensated encodings on signal dropout and black-blood state in diffusion-weighted magnetic resonance liver imaging at clinical TEs

Führes,

Saake,

Szczepankiewicz

et al. 2023

PLoS ONE

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Purpose The study aims to develop easy-to-implement concomitant field-compensated gradient waveforms with varying velocity-weighting (M1) and acceleration-weighting (M2) levels and to evaluate their efficacy in correcting signal dropouts and preserving the black-blood state in liver diffusion-weighted imaging. Additionally, we seek to determine an optimal degree of compensation that minimizes signal dropouts while maintaining blood signal suppression. Methods Numerically optimized gradient waveforms were adapted using a novel method that allows for the simultaneous tuning of M1- and M2-weighting by changing only one timing variable. Seven healthy volunteers underwent diffusion-weighted magnetic resonance imaging (DWI) with five diffusion encoding schemes (monopolar, velocity-compensated (M1 = 0), acceleration-compensated (M1 = M2 = 0), 84%-M1–M2-compensated, 67%-M1–M2-compensated) at b-values of 50 and 800 s/mm2 at a constant echo time of 70 ms. Signal dropout correction and apparent diffusion coefficients (ADCs) were quantified using regions of interest in the left and right liver lobe. The blood appearance was evaluated using two five-point Likert scales. Results Signal dropout was more pronounced in the left lobe (19%-42% less signal than in the right lobe with monopolar scheme) and best corrected by acceleration-compensation (8%-10% less signal than in the right lobe). The black-blood state was best with monopolar encodings and decreased significantly (p < 0.001) with velocity- and/or acceleration-compensation. The partially M1–M2-compensated encoding schemes could restore the black-blood state again. Strongest ADC bias occurred for monopolar encodings (difference between left/right lobe of 0.41 μm2/ms for monopolar vs. < 0.12 μm2/ms for the other encodings). Conclusion All of the diffusion encodings used in this study demonstrated suitability for routine DWI application. The results indicate that a perfect value for the level of M1–M2-compensation does not exist. However, among the examined encodings, the 84%-M1–M2-compensated encodings provided a suitable tradeoff.

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Evaluation of Respiratory Triggered Diffusion-Weighted MRI with Three b-Values Compared to ADC Map and Fast Spin Echo Heavily T2W in Differential Diagnosis of Hemangioma from Malignant Liver Lesions

Cited by 2 publications

References 30 publications

Compare image quality of T2-weighted imaging with different phase acceleration factors

Compare image quality of T2-weighted imaging with different phase acceleration factors

Impact of velocity- and acceleration-compensated encodings on signal dropout and black-blood state in diffusion-weighted magnetic resonance liver imaging at clinical TEs

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