Objectives: Diffusion tensor imaging (DTI) can provide structural information and objective values for nerves. The aims of this study were to perform quantitative evaluation and fibre tracking of the normal inferior alveolar nerve (IAN) using DTI on 3.0-T MRI.
Methods: DTI was applied to 92 IANs of 46 healthy volunteers. Circular regions of interest (ROIs) were placed on three different positions at the mandibular foramen, second molar and mental foramen of each nerve on apparent diffusion coefficient (ADC) and fractional anisotropy (FA) maps, and the ADC and FA of each ROI were measured. Differences in the values arising from the nerve positions were evaluated. Furthermore, fibre tracking of the IANs was performed by tractography, and the quality of visualization was evaluated.
Results: There were no significant differences in the ADC and FA between the right and left sides regardless of the anteroposterior positions. Regarding differences arising from the anteroposterior measurement positions, the ADC and FA showed no significant differences (p > 0.017), except for the ADCs between the positions at the mandibular foramen and mental foramen in the left side (p = 0.0068). Overall, 70 (76%) of the 92 IANs could be visualized fully or partially by tractography.
Conclusions: The ADC and FA of the IAN were successfully obtained from healthy volunteers using DTI and were confirmed to be symmetrical regardless of the measurement positions. DTI is a feasible technique for the quantitative evaluation and visualization of the IAN.
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http://dx.doi.org/10.1259/dmfr.20160200 | DOI Listing |
Sci Rep
January 2025
Department of Civil and Environmental Engineering, Seoul National University, Seoul, 08826, Republic of Korea.
To enhance sustainability and resilience against climate change in infrastructure, a quantitative evaluation of both environmental impact and cost is important within a life cycle framework. Climate change effects can lead performance deterioration in bridge components during their operational phase, highlighting the necessity for a risk-based evaluation process aligned with maintenance strategies. This study employs a two-phase life cycle assessments (LCA) framework.
View Article and Find Full Text PDFJ Food Drug Anal
December 2024
Division of Research and Analysis, Food and Drug Administration, Ministry of Health and Welfare, Taipei, Taiwan, R.O.C.
Limosilactobacillus reuteri is a probiotic bacterium known for its numerous beneficial effects on human health and is commonly utilized in various dietary supplements. Previously, we encountered difficulties in isolating L. reuteri from retail dietary supplements containing complex probiotic compositions by using non-selective media such as de Man, Rogosa, and Sharpe (MRS) agar.
View Article and Find Full Text PDFJ Food Drug Anal
December 2024
Department of Medical Laboratory Science and Biotechnology, Kaohsiung Medical University, Kaohsiung, Taiwan.
This study introduces an innovative bio-based sorbent bead crafted by integrating chitosan (CS) biopolymers, Fe(NO3)3 and polydopamine nanoparticles (PDA NPs) via glutaraldehyde crosslinking. The primary focus of this study was the concurrent separation of diverse tetracycline antibiotics (TCs), followed by rigorous reversed-phase liquid chromatography analysis. The fabricated CS/Fe@PDA sorbent beads were comprehensively characterized using scanning electron microscopy and energy-dispersive X-ray spectroscopy, revealing a surface rich in active carbon (C), nitrogen (N), and oxygen (O) moieties.
View Article and Find Full Text PDFJ Food Drug Anal
December 2024
Zhenjiang College, Zhenjiang, 212000, PR China.
Ascorbic acid (AA) is used as a food additive for its antibacterial and antioxidant properties. However, excessive intake of AA is harmful to humans. Therefore, the detection of Fe and AA is generally recognized to be meaningful.
View Article and Find Full Text PDFJMIR Med Inform
January 2025
Sungkyunkwan University, Seoul, Republic of Korea.
Background: Mental health chatbots have emerged as a promising tool for providing accessible and convenient support to individuals in need. Building on our previous research on digital interventions for loneliness and depression among Korean college students, this study addresses the limitations identified and explores more advanced artificial intelligence-driven solutions.
Objective: This study aimed to develop and evaluate the performance of HoMemeTown Dr.
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