Diffusion-Weighted Magnetic Resonance Imaging: Clinical Potential and Applications

Caroli, Anna

doi:10.3390/jcm11123339

Cited by 4 publications

(2 citation statements)

References 60 publications

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“…Diffusion-weighted MRI (DWI) is a specialized imaging technique that offers insights into the microstructure of tissue by assessing the movement of water molecules within the tissue microstructure without the need for tracer injections [1,2]. It is widely used in clinical settings to detect, characterize, and stage malignant lesions in various anatomical regions of the human body.…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, DWI distinctive ability to quantify diffusion processes can be utilized to detect and characterize fibrosis and inflammation including but not limited to the abdomen. In terms of kidney applications, it enables differentiation between healthy tissue and tissue affected by renal failure, pyelonephritis, ureteral obstruction, and renal cell carcinoma [1,3,4]. A precise description of the acquired MRI signal is crucial in order to distinguish between physiological and pathological processes.…”

Section: Introductionmentioning

confidence: 99%

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Toward Optimal Fitting Parameters for Multi-Exponential DWI Image Analysis of the Human Kidney: A Simulation Study Comparing Different Fitting Algorithms

Jasse,

Wittsack,

Thiel

et al. 2024

Mathematics

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In DWI, multi-exponential signal analysis can be used to determine signal underlying diffusion components. However, the approach is very complex due to the inherent low SNR, the limited number of signal decay data points, and the absence of appropriate acquisition parameters and standardized analysis methods. Within the scope of this work, different methods for multi-exponential analysis of the diffusion signal in the kidney were compared. To assess the impact of fitting parameters, a simulation was conducted comparing the free non-negative (NNLS) and rigid non-linear least square (NLLS) fitting methods. The simulation demonstrated improved accuracy for NNLS in combination with area-under-curve estimation. Furthermore, the accuracy and stability of the results were further enhanced utilizing optimized parameters, namely 350 logarithmically spaced diffusion coefficients within [0.7, 300] × 10−3 mm2/s and a minimal SNR of 100. The NNLS approach shows an improvement over the rigid NLLS method. This becomes apparent not only in terms of accuracy and omitting prior knowledge, but also in better representation of renal tissue physiology. By employing the determined fitting parameters, it is expected that more stable and reliable results for diffusion imaging in the kidney can be achieved. This might enable more accurate DWI results for clinical utilization.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Toward Optimal Fitting Parameters for Multi-Exponential DWI Image Analysis of the Human Kidney: A Simulation Study Comparing Different Fitting Algorithms

Jasse,

Wittsack,

Thiel

et al. 2024

Mathematics

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MRI combined with clinical features to differentiate ovarian thecoma-fibroma with cystic degeneration from ovary adenofibroma

Bo,

Sun,

Wei

et al. 2024

British Journal of Radiology

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Objective To explore the value of magnetic resonance imaging (MRI) and clinical features in identifying ovarian thecoma-fibroma (OTF) with cystic degeneration and ovary adenofibroma (OAF). Methods A total of 40 patients with OTF (OTF group) and 28 patients with OAF (OAF group) were included in this retrospective study. Univariable and multivariable analyses were performed on clinical features and MRI between the two groups, and the receiver operating characteristic (ROC) curve was plotted to estimate the optimal threshold and predictive performance. Results The OTF group had smaller cyst degeneration degree (p < 0.001), fewer black sponge sign (20% vs. 53.6%, p = 0.004), lower minimum apparent diffusion coefficient value (ADCmin) (0.986 (0.152) vs. 1.255 (0.370), p < 0.001), higher age (57.4 ± 14.2 vs. 44.1 ± 15.9, p = 0.001) and more postmenopausal women (72.5% vs. 28.6%, p < 0.001) than OAF. The AUC of MRI, clinical features and combined with clinical features was 0.870, 0.841, and 0.954, respectively, and MRI combined with clinical features was significantly higher than the other two (p < 0.05). Conclusion The cyst degeneration degree, black sponge sign, ADCmin, age and menopause were independent factors in identifying OTF with cystic degeneration and OAF. The combination of MRI and clinical features has a good effect on the identification of the two. Advances in knowledge This is the first time to distinguish OTF with cystic degeneration from OAF by combining MRI and clinical features. It shows the diagnostic performance of MRI, clinical features, and combination of the two. This will facilitate the discriminability and awareness of these two diseases among radiologists and gynecologists.

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Toward optimal fitting parameters for multi-exponential DWI image analysis of the human kidney: A simulation study comparing different fitting algorithms

Jasse,

Wittsack,

Thiel

et al. 2023

Preprint

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Purpose: In DWI, multi-exponential signal analysis can be used to determine signal underlying diffusion components. However, the approach is very complex due to the inherent low SNR, the limited number of signal decay data points and the absence of appropriate acquisition parameters and standardised analysis methods. Methods: Within the scope of this work, different methods for multi-exponential analysis of the diffusion signal in the kidney were compared. To assess the impact of fitting parameters, a simulation was conducted comparing the free non-negative (NNLS) and rigid non-linear least square (NLLS) fitting methods. Results: The simulation demonstrated improved accuracy for NNLS in combination with AUC estimation. Furthermore, the accuracy and stability of the results were further enhanced utilizing optimized parameters, namely 350 logarithmically spaced diffusion coefficients within [0.7, 300] x 10-3 mm²/s and a minimal SNR of 100. Discussion: The NNLS approach shows an improvement over the rigid NLLS method. This becomes apparent not only in terms of accuracy and omitting prior knowledge, but also in better representation of renal tissue physiology. Conclusion: By employing the determined fitting parameters, it is expected that more stable and reliable results for diffusion imaging in the kidney can be achieved. This might enable more accurate DWI results for clinical utilisation.

show abstract

Diffusion-Weighted Magnetic Resonance Imaging: Clinical Potential and Applications

Abstract: Since its discovery in the 1980s [...]

Cited by 4 publications

References 60 publications

Toward Optimal Fitting Parameters for Multi-Exponential DWI Image Analysis of the Human Kidney: A Simulation Study Comparing Different Fitting Algorithms

Toward Optimal Fitting Parameters for Multi-Exponential DWI Image Analysis of the Human Kidney: A Simulation Study Comparing Different Fitting Algorithms

MRI combined with clinical features to differentiate ovarian thecoma-fibroma with cystic degeneration from ovary adenofibroma

Toward optimal fitting parameters for multi-exponential DWI image analysis of the human kidney: A simulation study comparing different fitting algorithms

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