1.In vitro biocompatibility of graded glass infiltrated ultra-translucent zirconia
Qiya ZHANG ; Yixiang TONG ; Shijiao YANG ; Yumeng ZHANG ; Ling DENG ; Wei WU ; Yao XIE ; Jian LIAO ; Ling MAO
Chinese Journal of Tissue Engineering Research 2026;30(2):443-450
BACKGROUND:In previous studies,glass materials were infiltrated into 5Y-PSZ ultra-translucent zirconia by a double sintering method to prepare 5Y-PSZ-YGI graded glass infiltrated ultra-translucent zirconia materials that can maintain high transparency and high flexural strength.OBJECTIVE:To evaluate the in vitro biocompatibility of 5Y-PSZ-YGI graded glass infiltrated ultra-translucent zirconia materials.METHODS:(1)Glass materials were infiltrated into 5Y-PSZ ultra-translucent zirconia by double sintering to prepare 5Y-PSZ-YGI graded glass infiltrated ultra-translucent zirconia.5Y-PSZ-YGI graded glass infiltrated ultra-translucent zirconia(or 5Y-PSZ ultra-translucent zirconia,3Y-TZP transparent zirconia)was placed in DMEM culture medium containing 10%fetal bovine serum for 12,24 and 72 hours,and the surface area ratio of culture medium to sample was 3 mL/cm2,and the 12-,24-and 72-hour material extracts were obtained.(2)After culturing mouse fibroblast L929 for 24 hours,the original culture medium was discarded and divided into 7 groups for culture:the control group was replaced with DMEM culture medium containing 10%fetal bovine serum by volume,and the other 6 groups were replaced with 24-hour extract of 3Y-TZP transparent zirconia,24-hour extract of 5Y-PSZ ultra-translucent zirconia,24-hour extract of 5Y-PSZ-YGI graded glass infiltrated ultra-translucent zirconia,72-hour extract of 3Y-TZP transparent zirconia,72-hour extract of 5Y-PSZ ultra-translucent zirconia,and 72-hour extract of 5Y-PSZ-YGI graded glass infiltrated ultra-translucent zirconia.After 1,3,and 5 days of culture,cell growth was observed under a microscope,and the cell proliferation rate was obtained by CCK-8 assay to determine cytotoxicity.(3)Human anticoagulated blood was mixed with 5Y-PSZ-YGI graded glass infiltrated ultra-translucent zirconia,5Y-PSZ ultra-translucent zirconia,and 3Y-TZP transparent zirconia,and the hemolysis rate was detected after 0.5 hours.Human anticoagulated blood was mixed with 12-hour extract of 3Y-TZP transparent zirconia,12-hour extract of 5Y-PSZ ultra-translucent zirconia,and 12-hour extract of 5Y-PSZ-YGI graded glass infiltrated ultra-translucent zirconia,and the hemolysis rate was detected after 0.5 hours.RESULTS AND CONCLUSION:(1)Under the microscope,it could be seen that the number of cells in each group increased with the extension of culture time,and the cell morphology of each experimental group was basically the same as that of the control group.The cytotoxicity grade of the 24-hour extract of 3Y-TZP transparent zirconia group on the first day of culture was grade 0,and the cytotoxicity grade of the other experimental groups at each time period was grade 1.(2)Neither the material nor the material extract caused obvious hemolytic reaction,and the hemolytic rate was less than 5%.(3)The results showed that 5Y-PSZ-YGI graded glass infiltrated ultra-translucent zirconia had no significant effect on the growth and proliferation of mouse fibroblasts L929,and did not cause hemolytic reaction with human blood,and had good in vitro biocompatibility.
2.In vitro biocompatibility of graded glass infiltrated ultra-translucent zirconia
Qiya ZHANG ; Yixiang TONG ; Shijiao YANG ; Yumeng ZHANG ; Ling DENG ; Wei WU ; Yao XIE ; Jian LIAO ; Ling MAO
Chinese Journal of Tissue Engineering Research 2026;30(2):443-450
BACKGROUND:In previous studies,glass materials were infiltrated into 5Y-PSZ ultra-translucent zirconia by a double sintering method to prepare 5Y-PSZ-YGI graded glass infiltrated ultra-translucent zirconia materials that can maintain high transparency and high flexural strength.OBJECTIVE:To evaluate the in vitro biocompatibility of 5Y-PSZ-YGI graded glass infiltrated ultra-translucent zirconia materials.METHODS:(1)Glass materials were infiltrated into 5Y-PSZ ultra-translucent zirconia by double sintering to prepare 5Y-PSZ-YGI graded glass infiltrated ultra-translucent zirconia.5Y-PSZ-YGI graded glass infiltrated ultra-translucent zirconia(or 5Y-PSZ ultra-translucent zirconia,3Y-TZP transparent zirconia)was placed in DMEM culture medium containing 10%fetal bovine serum for 12,24 and 72 hours,and the surface area ratio of culture medium to sample was 3 mL/cm2,and the 12-,24-and 72-hour material extracts were obtained.(2)After culturing mouse fibroblast L929 for 24 hours,the original culture medium was discarded and divided into 7 groups for culture:the control group was replaced with DMEM culture medium containing 10%fetal bovine serum by volume,and the other 6 groups were replaced with 24-hour extract of 3Y-TZP transparent zirconia,24-hour extract of 5Y-PSZ ultra-translucent zirconia,24-hour extract of 5Y-PSZ-YGI graded glass infiltrated ultra-translucent zirconia,72-hour extract of 3Y-TZP transparent zirconia,72-hour extract of 5Y-PSZ ultra-translucent zirconia,and 72-hour extract of 5Y-PSZ-YGI graded glass infiltrated ultra-translucent zirconia.After 1,3,and 5 days of culture,cell growth was observed under a microscope,and the cell proliferation rate was obtained by CCK-8 assay to determine cytotoxicity.(3)Human anticoagulated blood was mixed with 5Y-PSZ-YGI graded glass infiltrated ultra-translucent zirconia,5Y-PSZ ultra-translucent zirconia,and 3Y-TZP transparent zirconia,and the hemolysis rate was detected after 0.5 hours.Human anticoagulated blood was mixed with 12-hour extract of 3Y-TZP transparent zirconia,12-hour extract of 5Y-PSZ ultra-translucent zirconia,and 12-hour extract of 5Y-PSZ-YGI graded glass infiltrated ultra-translucent zirconia,and the hemolysis rate was detected after 0.5 hours.RESULTS AND CONCLUSION:(1)Under the microscope,it could be seen that the number of cells in each group increased with the extension of culture time,and the cell morphology of each experimental group was basically the same as that of the control group.The cytotoxicity grade of the 24-hour extract of 3Y-TZP transparent zirconia group on the first day of culture was grade 0,and the cytotoxicity grade of the other experimental groups at each time period was grade 1.(2)Neither the material nor the material extract caused obvious hemolytic reaction,and the hemolytic rate was less than 5%.(3)The results showed that 5Y-PSZ-YGI graded glass infiltrated ultra-translucent zirconia had no significant effect on the growth and proliferation of mouse fibroblasts L929,and did not cause hemolytic reaction with human blood,and had good in vitro biocompatibility.
3.Pathological analysis of 1 712 cholecystectomy specimens for benign gallbladder diseases
Liqin YU ; Wei WANG ; Xiaoyu YAN ; Chuanxin YANG ; Puxiongzhi WANG ; Jian WANG
Chinese Journal of Surgery 2026;64(1):64-69
Objective:To investigate the pathological characteristics of post-cholecystectomy specimens from patients with benign gallbladder diseases.Methods:This retrospective case series study analyzed clinical and pathological data from 1 712 patients who underwent cholecystectomy for benign gallbladder diseases at the Sixth People′s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine between September 2022 and August 2024. The cohort included 757 males and 955 females, with an age ( M(IQR)) of 57(23) years (range: 14 to 91 years). Clinical and pathological features were analyzed. The χ2 test was used to compare clinical characteristics between patients with neoplastic and non-neoplastic polyps. Factors statistically significant in the χ2 test were subsequently included in a binary logistic regression analysis. Results:Postoperative pathological examination revealed gallbladder cancer in 7 patients (0.41%). These 7 cases, including 2 with pT3 stage cancer, were not detected preoperatively by various imaging examinations (ultrasound+magnetic resonance cholangiopancreatography/MRI plain scan in 3 cases, ultrasound+enhanced MRI in 1 case, ultrasound+enhanced CT in 2 cases, enhanced CT+enhanced MRI in 1 case). Gallbladder adenoma was found in 23 cases (1.34%), neoplastic polyps (including cholesterol polyps with dysplasia) in 29 cases (1.69%), and non-neoplastic polyps in 154 cases (9.00%). Statistically significant differences were observed in age and polyp number between patients with neoplastic and non-neoplastic polyps ( χ2=10.436 and 8.030; both P<0.05). Binary logistic regression analysis identified age ≥60 years ( P=0.003) and solitary polyps ( P=0.009) as risk factors for neoplastic polyps. Mucosal dysplasia was present in 164 cases (9.58%), including 9 cases of severe dysplasia, 4 of which exhibited focal carcinomatous transformation. Gallbladder polyps combined with stones were found in 90 cases (5.26%), among which 10 were associated with adenoma and mucosal dysplasia, and 2 showed focal carcinomatous transformation. Conclusions:The incidence of incidental gallbladder carcinoma was 0.41%. Intraoperative bile spillage can severely compromise prognosis. Preoperative imaging demonstrates a low detection rate for neoplastic polyps. Particular vigilance for neoplastic polyps is warranted in patients aged ≥60 years or with solitary polyps. Cholecystectomy should be performed promptly for benign gallbladder diseases meeting surgical indications.
4.Jianpi Xiaoai Prescription Ameliorates Chemotherapy Resistance in Colon Cancer by Targeting FGF2 to Inhibit PI3K/Akt Signaling Pathway
Xiaolan JIAN ; Kangwen NING ; Jiaxiang YANG ; Shenglan KOU ; Wanting KUANG ; Ziqi WANG ; Yuqin TAN ; Puhua ZENG ; Lingjuan TAN ; Wei PENG
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(6):120-130
ObjectiveTo explore the effect and mechanism of Jianpi Xiaoai prescription (JPXA) in ameliorating the 5-fluorouracil (5-FU) resistance of colon cancer. MethodsA HCT116/5-FU resistant cell line was established. Different concentrations (10%, 15%, 20%) of JPXA-containing serum and drug-free serum were used for intervention, and 10% fetal bovine serum (10% FBS), fibroblast growth factor receptor (FGFR) inhibitor (AZD4547), and recombinant fibroblast growth factor 2 (FGF2) were set as the control groups. Sensitive HCT116 cells were used in the FGF2 group, while HCT116/5-FU cells were used in other groups. Drug resistance, the level of FGF2 in the cell culture medium, the mRNA level of FGF2 in cells, and the protein levels of FGF2/FGFR and phosphatidylinositol 3-kinase/protein kinase B (PI3K/Akt) were determined. The drug-resistant cells were transplanted into the axilla of nude mice to establish a tumor model. The modeled mice were allocated into model, JPXA (15 g·kg-1), 5-FU (0.02 g·kg-1), JPXA+5-FU (15 g·kg-1+0.02 g·kg-1), AZD4547 (0.012 5 g·kg-1), and AZD4547+5-FU (0.012 5 g·kg-1+0.02 g·kg-1) groups. The tumor growth and the protein levels of FGF/FGFR and PI3K/Akt in each group were observed. ResultsThe survival rate of HCT116/5-FU cells decreased in all the JPXA groups with different concentrations. The cell survival rate was decreased most obviously in the 20% JPXA group. The level of FGF2 in the cell culture medium and the mRNA level of FGF2 in cells of each JXPA group decreased, and the decrease was the most significant in the 20% group (P<0.01). HCT116/5-FU cells showed up-regulated protein levels of FGF2 and phosphorylated fibroblast growth factor receptor 1 (p-FGFR1), but down-regulated protein level of FGFR1 (P<0.01). JPXA down-regulated the expression of FGF2 and p-FGFR1 and up-regulated the expression of FGFR1 (P<0.05). In addition, JPXA down-regulated the expression levels of phosphorylated protein kinase B (p-Akt) and phosphorylated mammalian target of rapamycin (p-mTOR), while up-regulating the expression levels of Akt and Bcl-2-asociated death promoter (Bad) (P<0.05). Animal experiments showed that the JPXA combined with 5-FU significantly inhibited the growth of drug-resistant tumors, reduced the protein levels of FGF2, p-FGFR1, phosphorylated phosphatidylinositol-3-kinase (p-PI3K), p-Akt, and p-mTOR, and increased the expression of Bad. It indicated that JPXA can inhibit the FGF2/FGFR1 signaling in colon cancer and regulate PI3K/Akt and downstream signaling pathways. ConclusionJPXA can ameliorate the chemotherapy resistance of colon cancer through down-regulating FGF2 expression and inhibiting the activation of the PI3K/Akt signaling pathway.
5.Transcatheter aortic valve replacement for aortic regurgitation complicated by Takayasu arteritis: A case report
Jianbin GAO ; Jian LI ; Yu YANG ; Mier MA ; Kairui YANG ; Wei LUO ; Ning WANG ; Da ZHU ; Wenbin OUYANG ; Xiangbin PAN
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2026;33(01):163-166
Patients with Takayasu arteritis combined with aortic valve disease often have a poor prognosis following surgical valve replacement, frequently encountering complications such as perivalvular leakage, valve detachment, and anastomotic aneurysm. This article presents a high-risk case wherein severe aortic valve insufficiency associated with Takayasu arteritis was successfully managed through transcatheter aortic valve implantation via the transapical approach. The patient had satisfactory valve function with no complications observed during the six-month postoperative follow-up. This case provides a minimally invasive and feasible alternative for the clinical management of such high-risk patients.
6.Pathological analysis of 1 712 cholecystectomy specimens for benign gallbladder diseases
Liqin YU ; Wei WANG ; Xiaoyu YAN ; Chuanxin YANG ; Puxiongzhi WANG ; Jian WANG
Chinese Journal of Surgery 2026;64(1):64-69
Objective:To investigate the pathological characteristics of post-cholecystectomy specimens from patients with benign gallbladder diseases.Methods:This retrospective case series study analyzed clinical and pathological data from 1 712 patients who underwent cholecystectomy for benign gallbladder diseases at the Sixth People′s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine between September 2022 and August 2024. The cohort included 757 males and 955 females, with an age ( M(IQR)) of 57(23) years (range: 14 to 91 years). Clinical and pathological features were analyzed. The χ2 test was used to compare clinical characteristics between patients with neoplastic and non-neoplastic polyps. Factors statistically significant in the χ2 test were subsequently included in a binary logistic regression analysis. Results:Postoperative pathological examination revealed gallbladder cancer in 7 patients (0.41%). These 7 cases, including 2 with pT3 stage cancer, were not detected preoperatively by various imaging examinations (ultrasound+magnetic resonance cholangiopancreatography/MRI plain scan in 3 cases, ultrasound+enhanced MRI in 1 case, ultrasound+enhanced CT in 2 cases, enhanced CT+enhanced MRI in 1 case). Gallbladder adenoma was found in 23 cases (1.34%), neoplastic polyps (including cholesterol polyps with dysplasia) in 29 cases (1.69%), and non-neoplastic polyps in 154 cases (9.00%). Statistically significant differences were observed in age and polyp number between patients with neoplastic and non-neoplastic polyps ( χ2=10.436 and 8.030; both P<0.05). Binary logistic regression analysis identified age ≥60 years ( P=0.003) and solitary polyps ( P=0.009) as risk factors for neoplastic polyps. Mucosal dysplasia was present in 164 cases (9.58%), including 9 cases of severe dysplasia, 4 of which exhibited focal carcinomatous transformation. Gallbladder polyps combined with stones were found in 90 cases (5.26%), among which 10 were associated with adenoma and mucosal dysplasia, and 2 showed focal carcinomatous transformation. Conclusions:The incidence of incidental gallbladder carcinoma was 0.41%. Intraoperative bile spillage can severely compromise prognosis. Preoperative imaging demonstrates a low detection rate for neoplastic polyps. Particular vigilance for neoplastic polyps is warranted in patients aged ≥60 years or with solitary polyps. Cholecystectomy should be performed promptly for benign gallbladder diseases meeting surgical indications.
7.Traditional Chinese Medicine Prevention and Treatment of Ischemic Stroke by Intervening in Brain Microvascular Endothelial Cells: A Review
Wenxiu QIN ; Gang WEI ; Qingjie KONG ; Huiying SUN ; Junfeng XU ; Ying GAO ; Jian YANG
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(13):336-346
The blood-brain barrier (BBB) is a physical and biochemical barrier that precisely regulates brain homeostasis and plays a central role in controlling the transport of endogenous and exogenous drugs and related metabolites across the blood-brain interface. These functions of the BBB are mediated by its major components, including brain microvascular endothelial cells (BMECs), tight junction protein complexes, and influx and efflux transporter proteins. One of the pathological features of ischemic stroke (IS) is BBB disruption, which plays an important role in the development of post-stroke brain injury and subsequent neurological dysfunction. Therefore, given the increasing incidence of IS, there is an urgent need to develop new therapeutic strategies to prevent BBB dysfunction and thereby protect injured brain tissue after IS. This study describes the pathological mechanisms by which BMEC injury after IS leads to BBB dysfunction and elucidates the association between BMECs and IS, including the regulation of apoptosis, autophagy, inflammatory responses, oxidative stress, neurotoxic effects, and cerebral edema. In addition, this article summarizes Chinese herbal medicines that may prevent and treat IS by targeting BMECs. These include monomeric compounds and single herbs such as flavonoids, glycosides, phenols, phthalides, terpenoids, and Styrax. Traditional Chinese medicine (TCM) compound formulas and preparations include oral formulations such as Buyang Huanwu decoction, Sailuotong, Naoxintong capsules, Dandeng Tongnao capsules, and Shexiang Tongxin dropping pills, as well as injectable preparations such as Tongluo Jiunao injection, Xingnaojing injection, Danshen polyphenolic acid for injection, Yiqi Fumai injection, and Shuxuetong injection. This study aims to explore the protective effects of TCM against IS through targeted regulation of BMEC function, providing new insights into the mechanisms of IS and endovascular therapeutic strategies.
8.tRF Prospect: tRNA-derived Fragment Target Prediction Based on Neural Network Learning
Dai-Xi REN ; Jian-Yong YI ; Yong-Zhen MO ; Mei YANG ; Wei XIONG ; Zhao-Yang ZENG ; Lei SHI
Progress in Biochemistry and Biophysics 2025;52(9):2428-2438
ObjectiveTransfer RNA-derived fragments (tRFs) are a recently characterized and rapidly expanding class of small non-coding RNAs, typically ranging from 13 to 50 nucleotides in length. They are derived from mature or precursor tRNA molecules through specific cleavage events and have been implicated in a wide range of cellular processes. Increasing evidence indicates that tRFs play important regulatory roles in gene expression, primarily by interacting with target messenger RNAs (mRNAs) to induce transcript degradation, in a manner partially analogous to microRNAs (miRNAs). However, despite their emerging biological relevance and potential roles in disease mechanisms, there remains a significant lack of computational tools capable of systematically predicting the interaction landscape between tRFs and their target mRNAs. Existing databases often rely on limited interaction features and lack the flexibility to accommodate novel or user-defined tRF sequences. The primary goal of this study was to develop a machine learning based prediction algorithm that enables high-throughput, accurate identification of tRF:mRNA binding events, thereby facilitating the functional analysis of tRF regulatory networks. MethodsWe began by assembling a manually curated dataset of 38 687 experimentally verified tRF:mRNA interaction pairs and extracting seven biologically informed features for each pair: (1) AU content of the binding site, (2) site pairing status, (3) binding region location, (4) number of binding sites per mRNA, (5) length of the longest consecutive complementary stretch, (6) total binding region length, and (7) seed sequence complementarity. Using this dataset and feature set, we trained 4 distinct machine learning classifiers—logistic regression, random forest, decision tree, and a multilayer perceptron (MLP)—to compare their ability to discriminate true interactions from non-interactions. Each model’s performance was evaluated using overall accuracy, receiver operating characteristic (ROC) curves, and the corresponding area under the ROC curve (AUC). The MLP consistently achieved the highest AUC among the four, and was therefore selected as the backbone of our prediction framework, which we named tRF Prospect. For biological validation, we retrieved 3 high-throughput RNA-seq datasets from the gene expression omnibus (GEO) in which individual tRFs were overexpressed: AS-tDR-007333 (GSE184690), tRF-3004b (GSE197091), and tRF-20-S998LO9D (GSE208381). Differential expression analysis of each dataset identified genes downregulated upon tRF overexpression, which we designated as putative targets. We then compared the predictions generated by tRF Prospect against those from three established tools—tRFTar, tRForest, and tRFTarget—by quantifying the number of predicted targets for each tRF and assessing concordance with the experimentally derived gene sets. ResultsThe proposed algorithm achieved high predictive accuracy, with an AUC of 0.934. Functional validation was conducted using transcriptome-wide RNA-seq datasets from cells overexpressing specific tRFs, confirming the model’s ability to accurately predict biologically relevant downregulation of mRNA targets. When benchmarked against established tools such as tRFTar, tRForest, and tRFTarget, tRF Prospect consistently demonstrated superior performance, both in terms of predictive precision and sensitivity, as well as in identifying a higher number of true-positive interactions. Moreover, unlike static databases that are limited to precomputed results, tRF Prospect supports real-time prediction for any user-defined tRF sequence, enhancing its applicability in exploratory and hypothesis-driven research. ConclusionThis study introduces tRF Prospect as a powerful and flexible computational tool for investigating tRF:mRNA interactions. By leveraging the predictive strength of deep learning and incorporating a broad spectrum of interaction-relevant features, it addresses key limitations of existing platforms. Specifically, tRF Prospect: (1) expands the range of detectable tRF and target types; (2) improves prediction accuracy through multilayer perceptron model; and (3) allows for dynamic, user-driven analysis beyond database constraints. Although the current version emphasizes miRNA-like repression mechanisms and faces challenges in accurately capturing 5'UTR-associated binding events, it nonetheless provides a critical foundation for future studies aiming to unravel the complex roles of tRFs in gene regulation, cellular function, and disease pathogenesis.
9.A machine learning-based trajectory predictive modeling method for manual acupuncture manipulation.
Jian KANG ; Li LI ; Shu WANG ; Xiaonong FAN ; Jie CHEN ; Jinniu LI ; Wenqi ZHANG ; Yuhe WEI ; Ziyi CHEN ; Jingqi YANG ; Jingwen YANG ; Chong SU
Chinese Acupuncture & Moxibustion 2025;45(9):1221-1232
OBJECTIVE:
To propose a machine learning-based method for predicting the trajectories during manual acupuncture manipulation (MAM), aiming to improve the precision and consistency of acupuncture practitioner' operation and provide the real-time suggestions on MAM error correction.
METHODS:
Computer vision technology was used to analyze the hand micromotion when holding needle during acupuncture, and provide a three-dimensional coordinate description method of the index finger joints of the holding hand. Focusing on the 4 typical motions of MAM, a machine learning-based MAM trajectory predictive model was designed. By integrating the changes of phalangeal joint angle and hand skeletal information of acupuncture practitioner, the motion trajectory of the index finger joint was predicted accurately. Besides, the roles of machine learning-based MAM trajectory predictive model in the skill transmission of acupuncture manipulation were verified by stratified randomized controlled trial.
RESULTS:
The performance of MAM trajectory predictive model, based on the long short-term memory network (LSTM), obtained the highest stability and precision, up to 98%. The learning effect was improved when the model applied to the skill transmission of acupuncture manipulation.
CONCLUSION
The machine learning-based MAM predictive model provides acupuncture practitioner with precise action prediction and feedback. It is valuable and significant for the inheritance and error correction of manual operation of acupuncture.
Humans
;
Acupuncture Therapy/instrumentation*
;
Machine Learning
;
Adult
;
Male
;
Female
10.An interpretable machine learning modeling method for the effect of manual acupuncture manipulations on subcutaneous muscle tissue.
Wenqi ZHANG ; Yanan ZHANG ; Yan SHEN ; Chun SUN ; Jie CHEN ; Yuhe WEI ; Jian KANG ; Ziyi CHEN ; Jingqi YANG ; Jingwen YANG ; Chong SU
Chinese Acupuncture & Moxibustion 2025;45(10):1371-1382
OBJECTIVE:
To investigate the effect of manual acupuncture manipulations (MAMs) on subcutaneous muscle tissue, by developing quantitative models of "lifting and thrusting" and "twisting and rotating", based on machine learning techniques.
METHODS:
A depth camera was used to capture the acupuncture operator's hand movements during "lifting and thrusting" and "twisting and rotating" of needle. Simultaneously, the ultrasound imaging was employed to record the muscle tissue responses of the participants. Amplitude and angular features were extracted from the movement data of operators, and muscle fascicle slope features were derived from the data of ultrasound images. The dynamic time warping barycenter averaging algorithm was adopted to align the dual-source data. Various machine learning techniques were applied to build quantitative models, and the performance of each model was compared. The most optimal model was further analyzed for its interpretability.
RESULTS:
Among the quantitative models built for the two types of MAMs, the random forest model demonstrated the best performance. For the quantitative model of the "lifting and thrusting" technique, the coefficient of determination (R2) was 0.825. For the "twisting and rotating" technique, R2 reached 0.872.
CONCLUSION
Machine learning can be used to effectively develop the models and quantify the effects of MAMs on subcutaneous muscle tissue. It provides a new perspective to understand the mechanism of acupuncture therapy and lays a foundation for optimizing acupuncture technology and designing personalized treatment regimen in the future.
Humans
;
Acupuncture Therapy/methods*
;
Machine Learning
;
Male
;
Adult
;
Female
;
Subcutaneous Tissue/diagnostic imaging*
;
Young Adult

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