Published: May 27, 2024
Language: Английский
Journal of Magnetic Resonance, Journal Year: 2024, Volume and Issue: 367, P. 107760 - 107760
Published: Aug. 30, 2024
The Kӓrger model and its derivatives have been widely used to incorporate transcytolemmal water exchange rate, an essential characteristic of living cells, into analyses diffusion MRI (dMRI) signals from tissues. consists two homogeneous exchanging components coupled by rate constant assumes measurements are made with sufficiently long time slow exchange. Despite successful applications, it remains unclear whether these assumptions generally valid for practical dMRI sequences biological In particular, barrier-induced restrictions produce inhomogeneous magnetization distributions in relatively large-sized compartments such as cancer violating the above assumptions. effects this inhomogeneity usually overlooked. We performed computer simulations quantify how restriction effects, which images edge enhancements at compartment boundaries, influence different variants Kӓrger-model. results show that enhancement effect will larger, time-dependent estimates rates e.g., tumors large cell sizes (>10 μm), resulting overestimations previously reported. Moreover, stronger gradients, longer gradient durations, larger sizes, all cause more pronounced effects. This helps us better understand feasibility Kärger estimating tissue types provides useful guidance on signal acquisition methods may mitigate effect. work also indicates need correct overestimated obtained assuming Kärger-model.
Language: Английский
Citations
3
Science Advances, Journal Year: 2024, Volume and Issue: 10(29)
Published: July 17, 2024
Noninvasive mapping of cellular pathology can provide critical diagnostic and prognostic information. Recent advances in diffusion magnetic resonance imaging enabled vivo examination tissue microstructures well beyond the resolution. Here, we proposed to use time–dependent kurtosis ( t DKI) simultaneously assess morphology transmembrane permeability hypoxic-ischemic (HI) brain injury. Through numerical simulations organoid imaging, demonstrated feasibility capturing effective size changes using DKI. In MRI HI-injured mouse brains detected a shift DKI peak longer times, suggesting swelling processes. Furthermore, observed faster decrease tail, reflecting increased associated with up-regulated water exchange or necrosis. Such information, unavailable from single time, predict salvageable tissues. Preliminary applications patients ischemic stroke suggested regions, illustrating DKI’s potential for detecting pathological clinics.
Language: Английский
Citations
2
Journal of Zhejiang University. Science A, Journal Year: 2024, Volume and Issue: 25(10), P. 765 - 787
Published: Aug. 22, 2024
Language: Английский
Citations
2
Japanese Journal of Radiology, Journal Year: 2024, Volume and Issue: unknown
Published: Sept. 18, 2024
Diffusion MRI was introduced in 1985, showing how the diffusive motion of molecules, especially water, could be spatially encoded with to produce images revealing underlying structure biologic tissues at a microscopic scale. is one several Intravoxel Incoherent Motions (IVIM) accessible together blood microcirculation. imaging first revolutionized management acute cerebral ischemia by allowing diagnosis an stage when therapies can still work, saving outcomes many patients. Since then, field diffusion has expanded whole body, broad applications both clinical and research settings, providing insights into tissue integrity, structural functional abnormalities from hindered movement water molecules tissues. particularly used manage neurologic disorders oncology for detecting classifying cancer lesions, as well monitoring treatment response early stage. The second major impact concerns wiring brain (Diffusion Tensor Imaging, DTI), obtain anisotropic white-matter 3 dimensions connections making up Connectome. DTI opened new avenues investigate diseases, neurogenesis aging, rapidly extending application psychiatry, mental illnesses seen Connectome spacetime disorders. Adding that closely associated neuronal activity, shown fMRI, may consider ideally suited function. This article retraces days milestones which spawned over 40 years, emerged fields, become pillar modern imaging.
Language: Английский
Citations
2
ACS Synthetic Biology, Journal Year: 2023, Volume and Issue: 12(10), P. 3041 - 3049
Published: Oct. 4, 2023
Aquaporins provide a unique approach for imaging genetic activity in deep tissues by increasing the rate of cellular water diffusion, which generates magnetic resonance contrast. However, distinguishing aquaporin signals from tissue background is challenging because diffusion influenced structural factors, such as cell size and packing density. Here, we developed Monte Carlo model to analyze how radius intracellular volume fraction quantitatively affect signals. We demonstrated that differential based on subtracting at two times can improve specificity unambiguously isolating background. further used simulations connection between diffusivity percentage cells engineered express established mapping accurately determined aquaporin-expressing mixed populations. The quantitative framework this study will enable broad range applications biomedical synthetic biology, requiring use aquaporins noninvasively monitor location function genetically devices live animals.
Language: Английский
Citations
4
Frontiers in Cell and Developmental Biology, Journal Year: 2024, Volume and Issue: 12
Published: May 13, 2024
The biophysics of water, has been debated over more than a century. Although its importance is still underestimated, significant breakthroughs occurred in recent years. influence protein condensation on water availability control was documented, new findings water-transport proteins emerged, and the way molecules rearrange to minimize free energy at interfaces deciphered, influencing membrane thermodynamics. state knowledge continued progress field deep-sea marine biology, highlighting unknown effects high hydrostatic pressure and/or temperature interactions between ligands extreme environments, structure adaptations. role osmolytes stability under stress also discussed here relation fish egg hydration/buoyancy. complexity movements within cell updated, all these leading better view their impact many cellular processes. flow osmotic gradients generated by ion transport work together produce driving force behind migration relevant both biology cancer research. Additional common points concern dynamic changes during neoplastic transformation cells tissues, or embryo development. This could improve imaging techniques, early diagnosis, understanding molecular physiological basis buoyancy for species.
Language: Английский
Citations
1
bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown
Published: June 11, 2023
Aquaporins provide a new class of genetic tools for imaging molecular activity in deep tissues by increasing the rate cellular water diffusion, which generates magnetic resonance contrast. However, distinguishing aquaporin contrast from tissue background is challenging because diffusion also influenced structural factors such as cell size and packing density. Here, we developed experimentally validated Monte Carlo model to analyze how radius intracellular volume fraction quantitatively affect signals. We demonstrated that differential approach based on time-dependent changes diffusivity can improve specificity unambiguously isolating aquaporin-driven background. Finally, used simulations connection between percentage cells engineered express aquaporin, established simple mapping accurately determined aquaporin-expressing mixed populations. This study creates framework broad applications aquaporins, particularly biomedicine vivo synthetic biology, where quantitative methods measure location performance devices whole vertebrates are necessary.
Language: Английский
Citations
1
medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown
Published: April 29, 2024
Abstract Innovative diffusion Magnetic Resonance Imaging (dMRI) models enable the non-invasive measurement of cancer biological properties in vivo . However, while cancers frequently spread to liver, tailored for liver application and easy deploy clinic are still sought. We fill this gap by delivering a practical, clinically-viable dMRI framework tumour imaging, informing its design through histology. By comparing histological data from mice patients, we select signal model restricted intra-cellular with negligible extra-cellular contributions, maximising radiological-histological correlations. The enables phenotyping, providing cell size density estimates that i) correlate their histopathology counterparts, ii) associated proliferation volume, iii) distinguish types. metrics biologically meaningful, our approach may complement standard-of-care radiology, become new tool enhanced characterisation precision oncology.
Language: Английский
Citations
0
Elsevier eBooks, Journal Year: 2024, Volume and Issue: unknown, P. 159 - 208
Published: Jan. 1, 2024
Language: Английский
Citations
0
medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown
Published: July 15, 2024
Abstract Diffusion Magnetic Resonance Imaging (dMRI) simulations in geometries mimicking the complexity of human tissues at microscopic scale enable development innovative biomarkers with unprecedented fidelity to histology. To date, approaches this kind have focussed heavily on brain imaging. Nevertheless, simulation-informed dMRI has huge potential also other applications, as for example body cancer imaging, where new non-invasive are still sought. This article fills gap by introducing a Monte Carlo diffusion simulation framework informed histology, enhanced dMR microstructural imaging — Histo-μSim approach. We generate dictionaries synthetic signals coupled tissue properties from virtual environments, reconstructed hematoxylin-eosin stains liver biopsies. These data-driven estimation properties, such intrinsic extra-cellular diffusivity, or cell size (CS) distribution moments. compare metrics well-established analytical multi-compartment models silico , fixed mouse scanned ex vivo (kidneys, spleens, and breast tumours) patients . Results suggest that is feasible clinical settings, it delivers more accurately reflect underlying histology compared models. In conclusion, offers histologically-meaningful descriptors may increase specificity towards cancer, thus play crucial role precision oncology.
Language: Английский
Citations
0