Collimating micro-lens fiber array for noncontact near-infrared diffuse correlation tomography

Near-infrared diffuse correlation spectroscopy/tomography (DCS/DCT) has recently emerged as a noninvasive measurement/imaging technology for tissue blood flow. In DCT studies, the high-dense collection of light temporal autocorrelation curves (g₂(τ)) via fiber array are critical for image reconstruction of blood flow. Previously, the camera-based fiber array limits the field of view (FOV), precluding its applications on large-size human tissues. The line-shape fiber probe based on lens combination, which is predominantly used in current DCT studies, requires rotated-scanning over the surface of target tissue, substantially prolonging the measurement time and increasing the system instability. In this study, we design a noncontact optical probe for DCT based on collimating micro-lens fiber array, termed as FA-nc-DCT system. For each source/detector fiber, a single optical path was collimated by coupling with one micro-lens in the fiber array that is integrated in a square-shape base. Additionally, an 8×8 optical switch is used to share the hardware laser and detectors without spatial scanning. The FA-nc approach for the precise collection of g₂(τ) curves was validated through a speed-varied phantom experiment and the human experiments of cuff occlusion, from which the expected value of the blood flow index (BFI) was obtained. Furthermore, the flow anomaly in the phantom and the ischemic muscle in human were accurately reconstructed from the FA-nc-DCT system, which is combined with the imaging framework based on the Nth-order linear algorithm that we recently created. Those outcomes demonstrated the great potential of FA-nc-DCT technology for fast and robust imaging of various diseases such as human breast cancers.     

Measuring healthy female nulliparous pubovisceral muscle from diffusion kurtosis imaging

This study explores the feasibility of using diffusion kurtosis imaging (DKI) in the pelvic floor region and assesses the water diffusivity of the pubovisceral muscle. Twenty-seven healthy young nulliparous females underwent DKI at 3.0 T that included 15 gradient directions and three b values (0, 750, and 1500 s/mm²). The diffusion tensor and diffusion kurtosis metrics values of the pubovisceral muscle were measured after image processing. Two independent sample t-tests, a paired-samples t-test, and a nonparametric hypothesis test were performed as appropriate to compare the differences among different metrics. Twenty-six subjects (mean ± standard deviation age, 25 ± 2 years) were successfully analyzed by measuring the diffusion tensor and diffusion kurtosis metrics of the bilateral pubovisceral muscles. The metrics included mean kurtosis, axial kurtosis, radial kurtosis, fractional anisotropy, mean diffusivity, axial diffusivity, and radial diffusivity. We found no statistically significant differences for these measurement values between the left and right pubovisceral muscles (p = 0.271–0.931). However, radial kurtosis was greater than axial kurtosis in both pubovisceral muscles (p < 0.001) and axial diffusivity was lower than radial diffusivity in both pubovisceral muscles (p < 0.001). We deem the application of DKI technology to the pelvic floor region to be feasible.     

Research progress on magnetic resonance imaging-guided proton therapy for tumors

With the application of magnetic resonance imaging (MRI)-guided photon therapy, the concept of combining real-time MRI guidance with proton therapy, namely, MRI-guided proton therapy (MRPT), has attracted widespread attention. It is expected that MRPT canmitigate the uncertaintiesduring the treatment of proton therapy to make full use of the physical advantages of protons. However, multiple electromagnetic interactions between proton therapy and MRI-guided systems may lead to mutual interference between the two systems. This article review the research progress on the MRPT system, aiming to provide certain reference for the design of MRPT system.     

基于ML-kNN多标记学习的中医体质辨识模型研究

目的 中医体质与人体健康状态密切相关。研究利用人工智能技术辨识中医体质，为中医体质辨识智能化及自动化发展提供新思路。方法 以江苏省中医院体检中心的中医体质数据作为初始数据样本，经过数据清洗、过滤及结构化最终纳入9844条数据作为研究对象，运用ML-kNN多标记k近邻算法构建中医体质辨识模型，使用10折交叉验证训练模型，并采用多标记学习评价指标评估模型效果。结果 中医体质辨识模型的平均汉明损失为0.096 1，平均1-错误率为0.126 1，平均排序损失为0.086 6，平均覆盖率为1.153 5，平均精度为88.57%。结论 基于体检中心中医体质辨识量表数据，利用ML-kNN多标记学习算法，构建体质辨识模型，能够有效实现中医体质辨识智能化。     

人参皂苷Rg5调控lncRNA-PCAT12抑制胃癌细胞生长实验研究

目的:探讨人参皂苷Rg5通过抑制长链非编码RNA-PCAT12(lncRNA-PCAT12)抑制胃癌(GC)细胞增殖与迁移的价值。方法:对数生长期的人胃癌SNU-1 细胞分为四组,A组,B组与C组加入0.03,0.06,0.09 μmol/L Rg5处理,对照组加入5% DMSO进行处理。MTT法检测细胞增殖、双染法检测细胞凋亡、划痕实验检测细胞迁移、实时定量PCR检测lncRNA-PCAT12表达。结果:处理后24、48、72 h,对照组中lncRNA-PCAT12表达水平和癌细胞增殖指数高于各实验组(P<0.05),C组均低于B组与A组(P<0.05)。实验各组细胞凋亡率均比对照组高(P<0.05),C组比B组与A组高(P<0.05)。转染48 h后,实验各组细胞迁移距离都小于对照组(P<0.05),而C组小于其他两个实验组(P<0.05)。结论:人参皂苷Rg5能通过抑制lncRNA-PCAT12的表达,且高浓度的效果更显著,可通过抑制GC细胞增殖与迁移,促进其凋亡,从而发挥抑癌作用。     

阿魏酸对创伤性脑损伤小鼠的神经保护作用

目的本研究利用创伤性脑损伤(traumatic brain injury,TBI)小鼠模型观察阿魏酸(FA)对TBI的神经保护作用,为防治TBI继发性损伤的药物开发提供新思路。方法利用C57/BL6小鼠采用小鼠重复轻度脑损伤模型进行造模。通过干湿重比值法检测脑组织水肿、水迷宫实验检测小鼠学习记忆能力、HE染色法观察小鼠脑组织形态学变化、采用免疫组化法检测小胶质细胞的激活情况。结果与TBI组小鼠比较,阿魏酸组小鼠:脑含水量明显降低(P<0.05),Morris水迷宫实验中逃避潜伏期较TBI模型组明显缩短,原象限停留时间明显延长,活化的小胶质细胞减少。结论阿魏酸可改善TBI小鼠的空间学习记忆能力,降低TBI小鼠脑含水量,改善TBI小鼠的脑组织形态学变化,其机制与阿魏酸抑制小胶质细胞活化有关。