Technology and Health Care - Volume Pre-press, issue Pre-press

Authors: Jiang, Ziwei | Yi, Peiling | You, Jinping | Cai, Erwei

Article Type: Research Article

Abstract: BACKGROUND: Colorectal cancer (CRC) is a digestive tract malignancy microRNAs (miRNAs) have attracted much attention as biomarkers in tumor studies. OBJECTIVE: This work focused on the predictive potential and mechanism of miR-4310 in CRC. METHODS: The miRNA expression profile sets were obtained from the Gene Expression Omnibus (GEO) database, and the appropriate miRNA was screened by GEO2R. The CRC tissues and control tissues of 88 patients with CRC were collected, and the expression of miR-4310 was detected by quantitative real-time PCR, and the efficacy of miR-4310 in diagnosing CRC was evaluated by the …receiver operating characteristic curve (ROC). The effects of miR-4310 on the proliferation, migration, and invasion of CRC cells were explored by Cell Counting Kit-8 (CCK-8) and Transwell experiments. Predicting the potential binding sites of miR-4310 and Runt-related transcription factor 1 (RUNX1) by four predictive websites. The relationship between miR-4310 and RUNX1 was confirmed by a double luciferase reporter gene experiment. RESULTS: The bioinformatics analysis found that miR-4310 was differentially expressed in CRC tissues and this finding was certified by the expression of miR-4310 in CRC tissues of collected patients and cultured CRC cell lines. The expression of miR-4310 had a predictive possibility for CRC patients. MiR-4310/RUNX1 pathway had effects on CRC viability, migration, and invasion. CONCLUSION: MiR-4310 had the potential to be a biomarker for early screening of CRC. MiR-4310 and RUNX1 participated in the regulation of CRC cells. Show more

Keywords: miR-4310, RUNX1, colorectal cancer, biomarker, mechanism

DOI: 10.3233/THC-230472

Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-11, 2023

Authors: Yao, Xiaohui | Liu, Shan | Xia, Huan | Li, Hanhan | Wang, Zhijie | Su, Le | Guo, Wei | Chen, Hanrui

Article Type: Research Article

Abstract: BACKGROUND: Recurrence is the main cause of death in hepatocellular carcinoma (HCC) patients after liver resection. OBJECTIVE: The long non-coding RNAs (lncRNAs) have been reported participated in progression and prognosis of HCC, however, the vital role of lncRNA in postoperative recurrence of HCC has rarely been systematically identified. METHODS: RNA-sequencing (RNA-seq) was performed between orthotopic model of HCC and hepatoma postoperative recurrent model to comprehensively analyze the integrated transcriptome expression profiles of lncRNA and mRNA. Quantitative Real-Time Polymerase Chain Reaction (qRT-PCR) was then conducted to quantify the expression levels of DElncRNAs and their …target mRNAs. RESULTS: In our study, 211 lncRNAs (P -value < 0.05) and 1125 mRNAs (P -adjust < 0.05) were significantly differentially expressed (DE) between two groups. Moreover, gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses showed that DElncRNAs and DEmRNAs were mainly enriched in lipid metabolism, including Arachidonic acid metabolism, PPAR signaling pathway, Steroid hormone biosynthesis, Linoleic acid metabolism, Inflammatory mediator regulation of TRP channels, and Fatty acid degradation. Furthermore, we constructed lncRNA-mRNA interaction networks and protein-protein interaction (PPI) network, and verified by qRT-PCR, suggesting that increased DEIncRNAs (XLOC_063499 and XLOC_042016) may prevent HCC recurrence after surgery by upregulating on targeted cytochrome P450 (CYP) family genes in the lipid metabolism pathway, such as cyp3a16, cyp3a44, cyp2c39, cyp2c40 and cyp2c68. CONCLUSION: Overall, Our findings provided new insights for further investigation of biological function in lncRNA related HCC recurrence. Show more

Keywords: LncRNA, RNA-seq, postoperative recurrence of HCC, HCC recurrence, hepatoma postoperative recurrent model, CYP

DOI: 10.3233/THC-230123

Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-13, 2023

Authors: Xu, Fan | Zheng, Qihang | Shi, Jia | Yan, Keyu

Article Type: Research Article

Abstract: BACKGROUND: Alzheimer’s disease (AD) endangers the physical and mental health of the elderly, constituting one of the most crucial social challenges. Due to lack of effective AD intervention drugs, it is very important to diagnose AD in the early stage, especially in the Mild Cognitive Impairment (MCI) phase. OBJECTIVE: At present, an automatic classification technology is urgently needed to assist doctors in analyzing the status of the candidate patient. The artificial intelligence enhanced Alzheimer’s disease detection can reduce costs to detect Alzheimer’s disease. METHODS: In this paper, a novel pre-trained ensemble-based AD detection …(PEADD) framework with three base learners (i.e., ResNet, VGG, and EfficientNet) for both the audio-based and PET (Positron Emission Tomography)-based AD detection is proposed under a unified image modality. Specifically, the effectiveness of context-enriched image modalities instead of the traditional speech modality (i.e., context-free audio matrix) for the audio-based AD detection, along with simple and efficient image denoising strategy has been inspected comprehensively. Meanwhile, the PET-based AD detection based on the denoised PET image has been described. Furthermore, different voting methods for applying an ensemble strategy (i.e., hard voting and soft voting) has been investigated in detail. RESULTS: The results showed that the classification accuracy was 92% and 99% on the audio-based and PET-based AD datasets, respectively. Our extensive experimental results demonstrate that our PEADD outperforms the state-of-the-art methods on both audio-based and PET-based AD datasets simultaneously. CONCLUSIONS: The network model can provide an objective basis for doctors to detect Alzheimer’s Disease. Show more

Keywords: Alzhemier’s disease, early detection, pre-training, ensembling, modality

DOI: 10.3233/THC-230571

Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-17, 2023

Authors: Tang, Bei | Ouyang, Wenbin | Deng, Jing | Huang, Xin

Article Type: Research Article

Abstract: BACKGROUND: In the wave of the novel coronavirus (COVID-19) epidemic, there is a need to investigate the mental health status of Chinese university students. OBJECTIVE: To examine the effects of witnessing cyberbullying on psychological distress and the mediating role of coping on these effects in Chinese university students, which is yet to be examined. METHODS: 306 Chinese university students were enrolled in this cross-sectional study. Linear regression was conducted to analyze the relationship between depression, anxiety and being a bystander to cyberbullying, whereas the bootstrapping approach tested the mediation effects of coping strategies. …RESULTS: Results indicated that 27.12% of subjects (95% CI: 22.22%, 32.48%) suffered from anxiety and 44.12% (95% CI: 38.47%, 49.88%) were depressed. Meanwhile, 89.87% of subjects were involved in witnessing cyberbullying. Being a bystander to cyberbullying was weakly but significantly associated with anxiety (β = 0.195, 95% CI: 0.068, 0.292) and depression (β = 0.223, 95% CI: 0.113,0.333). Negative coping partially mediated between witnessing cyberbullying and anxiety, with mediation effect values of 0.04 (P < 0.05). While being a bystander to cyberbullying was only directly associated with depression. CONCLUSION: Based on our findings, college students in Hunan, China, are experiencing anxiety, depression and cyberbullying after COVID-19. Being a bystander to cyberbullying is associated with coping styles, anxiety, and depression. Cyberbullying has a direct impact on anxiety, but it also influences anxiety through mediating effects on coping. Show more

Keywords: Bystander of cyberbullying, anxiety, depression, coping strategies, mediation analysis

DOI: 10.3233/THC-230305

Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-10, 2023

Authors: Chen, Ping-Shun | Lai, Chin-Hui | Chen, Ying-Tzu | Lung, Ting-Yu

Article Type: Research Article

Abstract: BACKGROUND: Scheduling patient appointments in hospitals is complicated due to various types of patient examinations, different departments and physicians accessed, and different body parts affected. OBJECTIVE: This study focuses on the radiology scheduling problem, which involves multiple radiological technologists in multiple examination rooms, and then proposes a prototype system of computer-aided appointment scheduling based on information such as the examining radiological technologists, examination departments, the patient’s body parts being examined, the patient’s gender, and the patient’s age. METHODS: The system incorporated a stepwise multiple regression analysis (SMRA) model to predict the number of …examination images and then used the K-Means clustering with a decision tree classification model to classify the patient’s examination time within an appropriate time interval. RESULTS: The constructed prototype creates a feasible patient appointment schedule by classifying patient examination times into different categories for different patients according to the four types of body parts, eight hospital departments, and 10 radiological technologists. CONCLUSION: The proposed patient appointment scheduling system can schedule appointment times for different types of patients according to the type of visit, thereby addressing the challenges associated with diversity and uncertainty in radiological examination services. It can also improve the quality of medical treatment. Show more

Keywords: Data mining, decision tree, patient appointments, appointment scheduling system, stepwise multiple regression analysis

DOI: 10.3233/THC-230374

Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-17, 2023

Authors: Hong, Mei | Zhao, Yi-Dong | Zhong, Too-Li | Lu, Ming | Sun, Wen-Hao | Chen, Tian-Yuan | Hong, Nan | Zhu, Yao | Yu, Da-Hai

Article Type: Research Article

Abstract: BACKGROUND: There are 1.8 million lung cancer deaths worldwide, accounting for 18% of global cancer deaths, including 710,000 in China, accounting for 23.8% of all cancer deaths in China. OBJECTIVE: To explore the out-of-set association rules of lung cancer symptoms and drugs through text mining of traditional Chinese medicine (TCM) treatment of lung cancer, and form medical case analysis to analyze the experience of TCM syndrome differentiation in its treatment. METHODS: The medical records of all patients diagnosed with lung cancer in Nanjing Chest Hospital from January to December 2018 were collected, and …the out-of-set association analysis was performed using the MedCase v5.2 TCM clinical scientific research auxiliary platform based on the frequent pattern growth enhanced association analysis algorithm. RESULTS: In terms of TCM treatment of lung cancer, the clinical symptoms with high correlation included cough, expectoration, chest distress, and white phlegm; and the drugs with high correlation included Pinellia ternata , licorice root, white Atractylodes rhizome , and Radix Ophiopogonis ; with the prescriptions based on Erchen and Maimendong decoctions. CONCLUSION: This analytical study of the medical cases of TCM treatment for lung cancer was performed using data mining techniques, and the out-of-set association rules between clinical symptoms and drugs were analyzed, including the understanding of lung cancer in TCM. Moreover, the essence of experience in drug use was gathered, providing significant scientific guidance for the clinical treatment of lung cancer. Show more

Keywords: Data mining, lung cancer, traditional Chinese medicine, out-of-set association

DOI: 10.3233/THC-230269

Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-11, 2023

Authors: Liu, Xinyi | Liu, Hao | Liu, Yuanji

Article Type: Research Article

Abstract: BACKGROUND: During an outbreak such as COVID-19, hospital staff needs to be in close contact with all types of patients visiting the hospital and the risk of cross-infection is extremely high. Payment and medication pickup is a mandatory part of a patient’s hospital visit, with direct contact between healthcare workers and patients, and long waiting times in the hospital area, which can easily lead to the spread of disease infection. OBJECTIVE: This paper designed the prototype of a contactless smart medicine cabinet based on RFID technology and optimized the patient consultation and medication pickup process to …address these problems. METHODS: We conducted a 50-day field observation of patients for consultation and medication pickup at the First Hospital in H city, Jiangsu Province, China, and randomly timed 1600 sets of data from Surgery (ophthalmology) and Internal patients, then we designed the prototype of a contactless smart medicine cabinet based on RFID technology, optimized the patient consultation and medication pickup process, comparing the traditional and intelligent models using AnyLogic. RESULTS: The results show that this contactless medicine cabinet was able to reduce the time taken by patients in consultation and medicine pickup by 19.24 minutes, increasing the overall efficiency of the consultation by 32.20%. The simulation revealed that this contactless intelligent medication pickup model was able to reduce the time taken by patients in consultation and medicine pickup, increasing the overall efficiency of the consultation, effectively reducing the frequency of contact between healthcare workers and patients, and reducing the risk of disease infection. CONCLUSION: The proposed technical model provides a new idea to solve the problems of long queues, low efficiency and high risk of infection for patients to consult and get medicine during epidemics. Especially within hospitals it has important theoretical and practical implications for epidemic prevention and control as well as future hospital management. Show more

Keywords: COVID-19, RFID, contactless, hospital, intelligent medication pickup

DOI: 10.3233/THC-230027

Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-19, 2023

Authors: Kamm, Christian P. | Kueng, Roger | Blättler, Remo

Article Type: Research Article

Abstract: BACKGROUND: Impaired manual dexterity is frequent and disabling in patients with multiple sclerosis (MS), affecting activities of daily living and quality of life. OBJECTIVE: To develop a new immersive virtual-reality (VR) headset-based dexterity training to improve impaired manual dexterity in persons with MS (pwMS) while being feasible and usable in a home-based setting. METHODS: The training intervention was tailored to the specific group of pwMS by implementing a simple and intuitive application with regard to hardware and software. To be efficacious, the training intervention covers the main functions of the hands and arm …relevant for use in everyday life. RESULTS: Taking clinical, feasibility, usability as well as technical aspects with regard to hardware and software into account, six different training exercises using hand tracking technology were developed on the Meta quest 2 using Unity. CONCLUSION: We report the developmental process of a new immersive virtual VR headset-based dexterity training for pwMS implementing clinical and technical aspects. Good feasibility, usability, and patient satisfaction was already shown in a feasibility study qualifying this training intervention for further efficacy trials. Show more

Keywords: Development, multiple sclerosis, manual dexterity, hand and arm function, virtual reality, immersive, training intervention

DOI: 10.3233/THC-230541

Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-12, 2023

Authors: Lian, Weizhen | Lian, Kaimei | Lin, Teng

Article Type: Research Article

Abstract: BACKGROUND: Early breast cancer diagnosis is of great clinical importance for selecting treatment options, improving prognosis, and enhancing the quality of patients’ survival. OBJECTIVE: We investigated the value of virtual touch tissue imaging average grayscale values (VAGV) helper Breast Imaging Reporting and Data System (BI-RADS) in diagnosing breast malignancy. METHODS: We retrospectively analyzed 141 breast tumors in 134 patients. All breast lesions were diagnosed pathologically by biopsy or surgical excision. All patients first underwent conventional ultrasound (US) followed by virtual touch tissue imaging (VTI). The measurement of the VAGV of the lesion was …performed by Image J software. BI-RADS classification was performed for each lesion according to the US. We performed a two-by-two comparison of the diagnostic values of VAGV, BI-RADS, and BI-RADS+ VAGV. RESULTS: VAGV was lower in malignant tumors than in benign ones (35.82 ± 13.39 versus 73.58 ± 42.69, P < 0.001). The area under the receiver operating characteristic curve (AUC ) value, sensitivity, and specificity of VAGV was 0.834, 84.09%, and 69.07%, respectively. Among BI-RADS, VAGV, and BI-RADS+ VAGV, BI-RADS+ VAGV had the highest AUC (0.926 versus 0.882, P = 0.0066; 0.926 versus 0.834, P = 0.0012). There was perfect agreement between the two radiologists using VAGV (ICC = 0.9796) and substantial agreement using BI-RADS (Kappa = 0.725). CONCLUSION: Our study shows that VAGV can accurately diagnose breast cancer. VAGV effectively improves the diagnostic performance of BI-RADS. Show more

Keywords: Breast lesion, average grayscale value, virtual touch tissue imaging, Breast Imaging Reporting and Data System

DOI: 10.3233/THC-230306

Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-12, 2023

Authors: Yue, Lei | Huo, Hai-Yang | Yang, Wei | Zhang, Ying-Huai

Article Type: Research Article

Abstract: BACKGROUND: Dental implant restoration is an effective therapy for missing teeth and is widely used in clinical practice to provide more treatment options for patients. OBJECTIVE: To explore the application of a positioning annular gingival cutter in minimally invasive stage II implant surgery and to evaluate its clinical effects. METHOD: Stage II implant surgery using a positioning annular gingival cutter was performed on 15 selected patients at 15 implant sites with sufficient keratinized gingival width in the posterior region. The patient underwent crown restoration 2 weeks after surgery and returned for follow-up 3 …months later. The surgical effects were recorded for each patient, including the duration of surgery, postoperative pain and swelling, keratinized gingiva width, probing depth (PD) measurements, and the percentage of bleeding on probing (BOP) before surgery, during crown restoration, and 3 months after crown restoration. The data were subjected to a paired sample t-test using Statistical Product and Service Solutions (SPSS) 25.0. RESULTS: The duration of stage II implant surgery using a positioning annular gingival cutter was 9.23 ± 1.63 min, and the duration of postoperative pain and swelling was 0.73 ± 0.35 and 0.81 ± 0.35 d, respectively. The keratinized gingiva width was 2.93 ± 0.41 mm before surgery and 2.91 ± 0.46 mm after crown restoration, demonstrating no significant reduction (P > 0.05). The keratinized gingiva width remained stable 3 months after crown restoration, with an average of 2.85 ± 0.49 mm, without significant reduction (P > 0.05). No obvious inflammation is observed. PD was 2.60 ± 0.52 mm and BOP was 10%. CONCLUSION: The use of a positioning annular gingival cutter in stage II implant surgery achieves a positive and stable clinical effect within a short time. Show more

Keywords: Circumferential supracrestal fiberotomy, keratinized gingiva, stage II implant surgery

DOI: 10.3233/THC-230262

Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-7, 2023