Analytical, Diagnostic and Therapeutic Techniques and Equipment Commons^™

Prospective Chest Ct Cohort With Opportunistic Multidimensional Phenotype Capture In Routine Care At A Tertiary Hospital In Western China: Protocol, Heng Zhang, Caipan Gong, Chunfeng Xiang, Shucai Wu, Xifeng Liang, Huazhang Song, Yanhan Xiang, Shuang Liang, Xiaoling Peng, Xiaogang Ren, Yang Li, Hongyan Li, Jing Song, Yuanhua Cheng, Yingchun Xiang, Zhiwei Wu, Chungang Zhao

Research outputs 2022 to 2026

Introduction: Routine chest CT contains clinically relevant multidomain information beyond the immediate examination indication, but translation into routine care requires more than identifying individual biomarkers. This protocol describes a prospective observational cohort designed to evaluate whether technical assessability, standardised multidomain research phenotyping, routine radiology reporting and documented care can be linked reproducibly within routine clinical chest CT at a tertiary hospital in western China.

Methods and Analysis: This is a single-centre, prospective, consecutive-enrolment observational imaging cohort embedded in routine outpatient and inpatient chest CT practice rather than a dedicated screening programme. The study is organised around a scan-to-phenotype-to-report-to-care framework while …

Sonographer Clinical Skills Training: What Can We Learn From International Education And Clinical Training Models To Address The Workforce Shortage?, Jennifer Alphonse, Gill Harrison, Christopher Edwards, Rebecca Perry, Afrooz Najafzadeh Abriz, Ignatius Pereira, Tara Chegwin, Pauline A. Mitchell, Adrienne J. Young, Shelley A. Park, Kate Russo, Michelle Fenech, Ann Quinton

Research outputs 2022 to 2026

Introduction: The sonographer workforce shortage is worldwide, with limited access to clinical training positions a major contributing factor to qualified sonographers entering the workforce. Our aim is to examine sonographer training models in English-speaking countries where sonographers are the primary providers of diagnostic ultrasound services and clinical training (work integrated learning/WIL) is embedded within accredited course curricula to troubleshoot the sonographer workforce shortage.

Methodology: An extensive search of Australian and international sonography course providers was performed. Accredited courses where WIL is a curriculum component and is assessable were included. Courses from Australia were compared to international courses and course elements …

Study Protocol Of The Endobronchial Valves For Pneumothorax To Reduce Admission Time (Evaporate) Pilot Multicentre Randomised Clinical Trial, Nai-Chien Huan, Niranjan Ananda Setty, Ai Ling Tan, Dhaval Thakkar, Taha Huseini, Elaine Yap, Jonathan Williamson, Phan Nguyen, Paul Lilburn, Matthew Salamonsen, Arash Badiei, Matthew Ing, Sanjeevan Muruganandan, Bapti Roy, Brent Gardiner, Lonny B. Yarmus, Steven P. Walker, Y. C. Gary Lee

Research outputs 2022 to 2026

Background: Pneumothorax with persistent air leak (PAL) is a debilitating condition. Patients with PAL often require prolonged chest drainage, with associated complications, such as, hospital-acquired infections, thromboembolism, and deconditioning. Endobronchial valves (EBVs) are an approved bronchoscopic treatment for PAL and may allow earlier chest tube removal and hospital discharge. Current evidence supporting the use of EBV is limited to case series and uncontrolled studies. EBVs are usually used as a last resort when other treatments failed. Whether early referral for EBV placement is feasible and can reduce hospital length of stay in patients with pneumothorax and PAL has not been …

A Scalable Workflow Using Digital Cognitive Assessment And Ptau217 For Mci Detection, Srinivasan Vairavan, Nicholas Griffin, David Wilson, Gallen Triana-Baltzer, Victoria Brugada-Ramentol, Elena Vera-Campuzano, Daniel Alcolea, Silvia Fallone, Lucy Mackintosh, Lindsey Mette, James D. Doecke, Joanne Robertson, Larry Ward, Gonzalo Sánchez Benavides, Carolina Minguillon, Clàudia Porta Mas, Adrià Tort-Merino, Mircea Balasa, Oriol Grau Rivera, Marc Suárez Calvet, Lewis Taylor, Íñigo Rodríguez-Baz, Javier Arranz, Juan Fortea, Ioannis Tarnanas, Marc Jones, Gayle Wittenberg, Emmanuel Streel, Maria Florencia Iulita

Research outputs 2022 to 2026

Introduction: Blood biomarkers like phosphorylated tau (p-tau)217 offer high diagnostic accuracy for Alzheimer's disease (AD) but face implementation challenges in low-prevalence settings. We evaluated the Altoida NeuroMarker Platform as a digital cognitive triage tool before plasma p-tau217 testing.

Methods: XGBoost models were trained to predict mild cognitive impairment (MCI) and p-tau217 status in 688 individuals across Australia, Spain, and the United States using the Altoida NeuroMarker. p-tau217 status was dichotomized using a threshold of 0.04 pg/mL (LucentAD). We modeled a two-step workflow (Altoida, plasma p-tau217) to enrich downstream biomarker testing, assuming 30% prevalence of AD pathology.

Results: The Altoida NeuroMarker …

An International Multidisciplinary Consensus Statement On Laparoscopic Liver Biopsy, Si Yi Lei, Yu Han, Don C. Rockey, Khalid Alswat, Vincent Wai Sun Wong, Nozim Jumaev, Carlos Jesus Toro-Huamanchumo, Safwan Taha, Mohamed El-Kassas, Jacob George, Mark Muthiah, Omar Ghanem, Masato Yoneda, Dao Viet Hang, Giada Sebastiani, George Papatheodoridis, Adam Abu-Abeid, Andrew G. Robertson, Sang Hyun Kim, Rudolf Weiner, Kamal Mahawar, Asim Shabbir, Mohammad Kermansaravi, Reynu Rajan, Yosuke Seki, Halit Eren Taskin, Scott Shikora, Edward Oliveros, Chetan Parmar, Qiuye Cheng, Omar Thaher, Elena Ruiz-Úcar, Rodolfo Oviedo, Rui Ribeiro, Mario Musella, Almino C. Ramos, Seung-Wan Ryu, Tamer Abdelbaki, Wei Jei Lee, Man Pan Chan, Jose Eduardo Garcia Flores, James Skinovsky, Ahmad Madkhali, Sylvia Weiner, Frank Tacke, Wah Yang, James Neuberger, Ming-Hua Zheng

Research outputs 2022 to 2026

Laparoscopic liver biopsy (LLB) provides a way to obtain liver tissue samples under direct visual inspection of the liver surface. It complements percutaneous liver biopsy (PLB) for complex or high-risk cases where PLB cannot be performed. Clinical practices for LLB vary across centers due to the lack of international standards. To improve the procedural quality and diagnostic efficiency of LLB, a multidisciplinary panel of 45 international experts from 6 continents, including hepatology, hepatobiliary surgery, gastrointestinal surgery, and metabolic and bariatric surgery, developed this consensus statement through three rounds of a modified Delphi process. This consensus covers clinical application scenarios, high-risk …

Shape-Based Profiling Of Cortical Bone Mineral Density In Growing Children: A Proof-Of-Concept Pqct Study, Anna Maria Markarian, R. Taaffe, Daniel Galvão, Jodie Cochrane Wilkie, Carolyn J. Peddle-Mcintyre, Daniel J. Schiferl, Robert U. Newton

Research outputs 2022 to 2026

Background: Understanding how bones adapt during growth is essential for promoting lifelong skeletal health. Peripheral quantitative computed tomography (pQCT) is a widely used imaging technique for assessing volumetric bone mineral density (vBMD) in pediatric populations; however, conventional methods may obscure subtle cortical adaptations. The primary aim of this study was to evaluate the feasibility of shape-based cortical vBMD profiling, with an exploratory objective of assessing its sensitivity to inter-individual variation in lean mass index (LMI). Methods: Eighteen children (6–12 years) underwent pQCT scanning at the 38% and 66% tibial sites (distal and proximal diaphysis). Cortical vBMD was quantified across three …

Medical Simulation In Toxicology: Enhancing Clinical Competence, Decision Making And Patient Care In Resource-Limited Settings, Rakesh Ghimire, Anjana Thapa, Sanjeev Kharel, Shristi Kharel Ghimire, Rabin Basnet, Farshad Mazda Shirazi, Allan J. Hamilton

Research outputs 2022 to 2026

Medical simulation has emerged as a transformative approach in toxicology education. By providing immersive, hands-on experience, simulation enhances learner engagement, critical thinking, and long-term knowledge retention while offering a safe environment to practice clinical decision-making without jeopardizing patient safety. Despite these advantages, the integration of simulation-based training remains limited in low-and middle-income countries (LMICs) due to resource constraints, lack of standardized curricula, and limited access to high-fidelity simulators. Additionally, little research has explored its optimal application in these settings. This review explores available evidence regarding the effectiveness of medical simulation in the diagnosis and treatment of toxicological emergencies in LMICs. …

Automated Abdominal Aortic Calcification And Trabecular Bone Score Independently Predict Incident Fracture During Routine Osteoporosis Screening, Abadi K. Gebre, Marc Sim, Syed Zulqarnain Gilani, Afsah Saleem, Cassandra Smith, Didier Hans, Siobhan Reid, Barret A. Monchka, Douglas Kimelman, Mohammad Jafari Jozani, John T. Schousboe, Joshua R. Lewis, William D. Leslie, Joshua R. Lewis

Research outputs 2022 to 2026

Abdominal aortic calcification (AAC), a marker of subclinical cardiovascular disease, has previously shown to be associated with low BMD and fracture. However, it remains unclear whether AAC is associated with trabecular bone score (TBS), a gray-level textural measure, or whether it predicts fracture risk independent of this measure. Here, we examined the cross-sectional association of AAC scored using a validated machine learning algorithm (ML-AAC24) with TBS, and their simultaneous associations with incident fractures in 7691 individuals (93.4% women) through the Manitoba BMD Registry (mean age 75.3 yr). The association between ML-AAC24 and TBS was tested using generalized linear regression. Cox …

Automated Abdominal Aortic Calcification Scores And Atherosclerotic Cardiovascular Disease In The Uk Biobank Imaging Study, Marc Sim, James Webster, Cassandra Smith, Afsah Saleem, Syed Zulqarnain Gilani, Carlos J. Toro-Huamanchumo, David Suter, Gemma Figtree, Anne Karine Lagendijk, Emma L. Duncan, Carl Schultz, Pawel Szulc, Joseph Hung, Wai H. Lim, Parminder Raina, Nicola P. Bondonno, Richard Woodman, Jonathan M. Hodgson, Douglas P. Kiel, Richard L. Prince, William D. Leslie, John P. Kemp, Nicholas C. Harvey, John T. Schousboe, Joshua R. Lewis

Research outputs 2022 to 2026

Background: Abdominal aortic calcification (AAC) is a subclinical measure of atherosclerotic cardiovascular disease (ASCVD). AAC can be captured on lateral spine images obtained from bone density machines during routine osteoporosis screening. Identifying individuals with AAC provides a new opportunity to prevent disease progression. Objectives: The aim of the study was to externally validate a machine learning-derived AAC 24-point algorithm (ML-AAC24) with incident ASCVD. Methods: Middle-aged individuals from the UK Biobank Imaging Study with lateral spine images, obtained via dual-energy x-ray absorptiometry, were included. ML-AAC24 scores were grouped as low (<2), moderate (2 to <6), and high (≥6). Linked health records were used to identify ASCVD-associated events, including hospitalizations and death. Results: Among 53,611 participants (52% female; mean age 65 years), 78.2% had low, 16.4% had moderate, and 5.4% had high ML-AAC24. After excluding people with prevalent ASCVD or missing data, 1,163 (2.3%) of 50,923 people had an incident ASCVD event over a median follow-up of 4.1 [3.0-5.5] years. In age- and sex-adjusted analysis, compared to those with low ML-AAC24, those with moderate (HR: 1.80 [95% CI: 1.57-2.08]) and high ML-AAC24 (HR: 2.87 [95% CI: 2.39-3.44]) had a higher HR for incident ASCVD. Results remained comparable after adjustment for established ASCVD risk factors. Consistent patterns were observed when considering incident coronary artery disease, myocardial infarction, and stroke. Conclusions: Assessing ML-AAC24 on lateral spine images offers a new and promising screening method to identify people with higher risk of incident ASVD events.

Mass Cytometry Workflow To Achieve High-Dimensional Immunophenotyping In Resource-Limited Or Decentralized Environments, Natalie Smith, Michael Cohen, Lauren Tracey, Julie Alipaz, Christina Loh, David King, Neha Pulyani, Rebecca Auzins, Elin Gray, Sandra Taylor, Rajat Rai, Steven Kao, Barbara Fazekas De St Groth, Helen Mcguire

Research outputs 2022 to 2026

Globally, regional and remote communities are burdened by both an increased prevalence and worse prognosis of many infectious and chronic diseases. However, largely owing to logistical challenges, these communities are under-represented in clinical trials and research studies. As individuals from rural communities experience unique environmental exposures and risk factors for disease, immune phenotyping data collected from metropolitan populations may not be broadly generalizable. To address this, we present a workflow that enables the inclusion of resource-limited sites in high-parameter mass cytometry studies. In this approach, whole blood (WB) or peripheral blood mononuclear cells (PBMCs) are collected, stained fresh for surface …

Pediatric Pqct-Derived Tibial Bone Mineral Density Estimates: A Systematic Review And Meta-Regression, Anna Maria Markarian, Dennis R. Taaffe, Daniel A. Galvão, Jodie Cochrane Wilkie, Carolyn J. Peddle-Mcintyre, Mark Markarian, Daniel J. Schiferl, Robert U. Newton

Research outputs 2022 to 2026

Background: Assessing bone mineral density (BMD) in children and adolescents is essential for detecting skeletal deficits and fracture risk. Peripheral quantitative computed tomography (pQCT) has gained increasing attention as a valuable imaging tool due to its ability to assess bone quality. Unlike dual-energy x-ray absorptiometry, pQCT provides volumetric BMD measurements and distinguishes between cortical and trabecular compartments. Despite these advantages, its clinical adoption remains limited due to the lack of reference data and standardized protocols. Methods: A systematic search was conducted in CINAHL, Embase, PubMed, SPORTDiscus, and Web of Science from inception to November 2024. Studies reporting pQCT-derived tibial BMD …

Advances In Survival Analyses: Machine Learning Methods And Model Comparison, Ryan Gately, Dharshana Sabanayagam, Wai H. Lim, Lin Zhu, Farzaneh Boroumand, Shuvo Bakar, Armando Teixeira-Pinto, Germaine Wong

Research outputs 2022 to 2026

This is the second article in a 2-part series on survival analysis. In part 1, we discussed the core concepts and traditional methods used in survival analysis. Part 2 explores the novel approaches to predict survival outcomes and evaluate model performance. To facilitate hands-on learning and practical implementation, the R code used in these analyses is provided in the supplementary materials, along with instructions to help readers apply these methods to their data.

A Mass Cytometry-Based Blood Cell Phenotyping Workflow Enabling Inclusion Of Resource-Limited And Rural Sites In Immune System Studies, Natalie J. Smith, Michael Cohen, Lauren Tracey, Julie Alipaz, Christina Loh, David King, Neha Pulyani, Rebecca Auzins, Elin Gray, Sandra Taylor, Rajat Rai, Steven Kao, Barbara Fazekas De St Groth, Helen M. Mcguire

Research outputs 2022 to 2026

Insight into disease detection and treatment through comprehensive immune phenotyping relies on the generation of high-quality data. However, the execution of robust immune monitoring in clinical trials by flow cytometry is complex due to logistical challenges in sample preparation and reagent stability. These challenges are exacerbated when considering remote and rural communities in Australia, which are burdened by both an increased prevalence and a worse prognosis of many chronic and infectious pathologies. This is not unique to the Australian context as globally remote and rural communities are underrepresented in biomedical research studies, contributing to persistent health inequities. To address these …

The Alteplase Dose Assessment For Pleural Infection Therapy (Adapt) Study-3: Efficacy And Safety Of 1 Mg Alteplase As A Starting Intrapleural Dose, Estee P.M. Lau, Michaela Donaghy, Sam Faber, Sophie Krivinskas, Francesco Piccolo, Calvin Sidhu, Tommaso D'Orsogna, Sona Vekaria, Edward Fysh, Y. C. Gary Lee

Research outputs 2022 to 2026

Introduction: Intrapleural tissue plasminogen activator/deoxyribonuclease (tPA/DNase) therapy has revolutionised management of pleural infection. However, the optimal tPA dose is still unknown. The Alteplase Dose Assessment for Pleural infection Therapy (ADAPT) study-3 aims to evaluate the efficacy and safety of a lower starting intrapleural dose of 1 mg tPA (with 5 mg DNase) for pleural infection.

Methods: Consecutive patients with pleural infection who required intrapleural fibrinolytic therapy were treated with 1 mg tPA/5 mg DNase. Escalation of tPA doses were permitted at any time at the discretion of treating physicians.

Results: A total of 100 patients (22% female, mean age = …

Dry Medical Thoracoscopy With Artificial Pneumothorax Induction: A Scoping Review, Nai Chien Huan, Larry Ellee Nyanti, Emilia Sheau Yuin Toh, Kong Meng Tung, Fui Bee Woo, Vikneshwara Shanmugam, Sarvin Vignesh, Y. C. Gary Lee

Research outputs 2022 to 2026

Background: Dry medical thoracoscopy (MT) allows access into the pleural cavity in the absence of effusion; but its role, safety, and techniques remain poorly defined. This scoping review summarises current evidence on indications, procedural approaches, diagnostic yield, and safety of dry MT; and highlights gaps to guide future research. Methods: We conducted a scoping review in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) guidelines. PubMed and Google Scholar databases were systematically searched for original studies reporting on dry MT involving pneumothorax induction. Study selection and data extraction followed the Joanna Briggs Institute …

Thermoregulation And Associated Disorders: 3pm-Guided Holistic Approach Bridging Innovative And Traditional Chinese Medicine, Zhuo Wang, Liu, Yueqiang Xu, Weijie Cao, Youxin Wang, Haifeng Hou, Xiuhua Guo, Olga Golubnitschaja, Wei Wang, Yuguang Du, Suboptimal Health Study Consortium, European Association For Predictive, Preventive, Personalised Medicine

Research outputs 2022 to 2026

Accurately performed thermoregulation is life-important for the human body. Therefore, a relatively narrow temperature range of 36.5–37 °C, which all our biochemical reactions are adapted to, is rigorously kept by the body allowing for the most effective kinetics of all physiological processes. In contrast, feeling inappropriately cold or too hot in the environment with comfortable temperature ranges are symptoms of an altered or even disordered thermoregulation described for a number of syndromes as well as patient cohorts. The rationale of the paper is to contribute to the paradigm shift from reactive to proactive healthcare considering thermoregulation deficits as an important …

Ratio Quantification Of Geranium And Rose Essential Oil Mixtures Via Leep Learning Analysis Of Complex Raman Spectra, Jia Wei Tang, Yong Xuan Hong, Jie Chen, Yun Yun Xie, Zhang Wen Ma, Qing Hua Liu, Liang Wang

Research outputs 2022 to 2026

Due to their high economic value, essential oils (EOs) are increasingly subject to adulteration, posing significant challenges for quality assessment and control. Owing to its excellent molecular specificity, Raman spectroscopy has been widely employed for the analysis and evaluation of EO products. In this study, we collected a total of 2700 Raman spectra comprising rose essential oil (REO, n = 900), geranium essential oil (GEO, n = 900), and their mixtures (n = 900). We first constructed a conventional convolutional neural network to distinguish spectra corresponding to varying EO mixing ratios. Interpretability analysis revealed that spectral peaks at 800, 1000, …

Muscle Imaging Assessments In Sarcopenia: A Statement From China National Center For Orthopedics (Nco) And The East Meets West Action Group Of The European Calcified Tissue Society (Ects), Ling Wang, Shuai Lu, Jiahua Feng, Kairui Ma, Fangfang Duan, Renxian Wang, Xiaoguang Cheng, Yajun Liu, Yuuki Imai, Hailing Chen, Claus C. Glüer, Giuseppe Guglielmi, Annegreet G. Vlug, Jianmin Liu, Klaus Engelke, Mei Li, Marc Sim, Salvatore Minisola, Xieyuan Jiang

Research outputs 2022 to 2026

Sarcopenia, characterized by progressive loss of muscle mass, strength, and function, significantly impacts patient outcomes. Accurate assessment of muscle mass is essential for its diagnosis. Currently the agreement on how to use imaging for sarcopenia detection is still debated and how well the muscle imaging assessments correlate with muscle function needs further agreement. Recognizing the critical role of imaging in this process, the China National Center for Orthopedics (NCO) and the East Meets West Action Group of European Calcified Tissue Society (ECTS) convened a working group endorsed by the Board of the ECTS. This paper aims to evaluate the utility …

Safety Of Bioelectrical Impedance Analysis In Patients With Cardiac Implantable Electronic Devices: A Systematic Review, Leonardo J. Uribe-Cavero, Fabian A. Chavez-Ecos, Kiara Camacho-Caballero, José Carlos Grados-Pintos, Patricia Vera-Maccha, Anthony Siguas-Huasasquiche, Dinesh Sharma, Carlos J. Toro-Huamanchumo

Research outputs 2022 to 2026

Background Bioelectrical impedance analysis (BIA) is widely used to assess body composition. However, its safety in patients with cardiac implantable electronic devices (CIEDs) remains uncertain owing to potential electromagnetic interference (EMI). Objective This study aimed to evaluate potential complications associated with clinical-grade BIA use in patients with CIEDs, based on currently available evidence. Methods We conducted a systematic review of studies published up to December 26, 2024, identified through PubMed, Embase, Scopus, and the Cochrane Library. The primary outcome was the occurrence of adverse events, including EMI, device malfunction, or arrhythmias. Results Of 3668 records, 6 cohort studies (n = …

Ceftriaxone Use Evaluation At The Medical Ward, Jigme Dorji Wangchuck National Referral Hospital In Bhutan: A Retrospective Analytical Study, Kezang Tshering, Mongal Singh Gurung, Sonam Wangda, Pelden Chejor

Research outputs 2022 to 2026

Objectives Ceftriaxone is the most commonly prescribed cephalosporin antibiotic in hospital settings. The overall prescribing compliance with the national antibiotic guidelines remained unassessed at Jigme Dorji Wangchuk National Referral Hospital (JDWNRH), Bhutan. Methods A retrospective analytical study was conducted by evaluating the medical records of patients who received ceftriaxone between January and December 2020 in the Medical Ward, JDWNRH. Data were analyzed using the Statistical Package for the Social Sciences, version 26. Results A total of 201 (17.82%) patients, with a mean age of 54.83 years (SD ± 20.93), received ceftriaxone, and pneumonia (49.25%) was the most frequently documented indication. …

Clinician-Led Development And Feasibility Of A Neural Network For Assessing 3d Dental Cavity Preparations Assisted By Conversational Ai, Mohammed El-Hakim, Haitham Khaled, Amr Fawzy, Robert Anthonappa

Research outputs 2022 to 2026

Introduction: Artificial intelligence is emerging in dental education, but its use in preclinical assessment remains limited. Large language models like ChatGPT^® V4.5 enable non-programmers to build AI models through real-time guidance, addressing the coding barrier. Aim: This study aims to empower clinician-led, low-cost, AI-driven assessment models in preclinical restorative dentistry and to evaluate the technical feasibility of using a neural network to score 3D cavity preparations. Methods: Twenty mandibular molars (tooth 46), each with two carious lesions, were prepared and scored by two expert examiners using a 20-point rubric. The teeth were scanned with a Medit i700^® and …

Artificial Intelligence To Detect Developmental Dysplasia Of Hip: A Systematic Review, Suketu Bhavsar, Bhanu B. Gowda, Maulini Bhavsar, Sanjay Patole, Shripada Rao, Chandra Rath

Research outputs 2022 to 2026

Aim: Deep learning (DL), a branch of artificial intelligence (AI), has been applied to diagnose developmental dysplasia of the hip (DDH) on pelvic radiographs and ultrasound (US) images. This technology can potentially assist in early screening, enable timely intervention and improve cost-effectiveness. We conducted a systematic review to evaluate the diagnostic accuracy of the DL algorithm in detecting DDH. Methods: PubMed, Medline, EMBASE, EMCARE, the clinicaltrials.gov (clinical trial registry), IEEE Xplore and Cochrane Library databases were searched in October 2024. Prospective and retrospective cohort studies that included children (< 16 years) at risk of or suspected to have DDH and reported hip ultrasonography (US) or X-ray images using AI were included. A review was conducted using the guidelines of the Cochrane Collaboration Diagnostic Test Accuracy Working Group. Risk of bias was assessed using the QUADAS-2 tool. Results: Twenty-three studies met inclusion criteria, with 15 (n = 8315) evaluating DDH on US images and eight (n = 7091) on pelvic radiographs. The area under the curve of the included studies ranged from 0.80 to 0.99 for pelvic radiographs and 0.90–0.99 for US images. Sensitivity and specificity for detecting DDH on radiographs ranged from 92.86% to 100% and 95.65% to 99.82%, respectively. For US images, sensitivity ranged from 86.54% to 100% and specificity from 62.5% to 100%. Conclusion: AI demonstrated comparable effectiveness to physicians in detecting DDH. However, limited evaluation on external datasets restricts its generalisability. Further research incorporating diverse datasets and real-world applications is needed to assess its broader clinical impact on DDH diagnosis.

Rapid Discrimination Of Mycobacterium Tuberculosis And Non-Tuberculous Mycobacteria Disease Via Interpretive Machine Learning Analysis Of Routine Laboratory Tests, Jia Wei Tang, Xue Song Xiong, Ting Ting Huang, Yu Lu Zhang, Lin Fei Yao, Wen Wen Zhang, Yun Yun Xie, Quan Fa Liang, Zhi Xuan Tan, Kun Jiang, Xin Liu, Liang Wang

Research outputs 2022 to 2026

Objectives Rapid discrimination of infections caused by Mycobacterium tuberculosis (MTB) and non-tuberculous mycobacteria (NTM) is crucial in clinical settings. Despite overlapping clinical and radiological features, the two require markedly different therapeutic approaches and public health responses. Current laboratory methods are time-consuming and complex, underscoring the urgent need for a simple and efficient diagnostic tool to inform public health decision-making. Methods Demographic, haematological and biochemical data were collected from two hospitals in Jiangsu province, China, between December 2018 and October 2024. A total of 400 patients were included in the training cohort, with 66 patients used for external validation. Six machine …

Automated Instance Segmentation And Registration Of Spinal Vertebrae From Ct-Scans With An Improved 3d U-Net Neural Network And Corner Point Registration, James Hill, Muhammad Rizwan Khokher, Chuong Nguyen, Matt Adcock, Ron Li, Stuart Anderson, Thomas Morrell, Tim Diprose, Olivier Salvado, Dadong Wang, Guan K. Tay

Research outputs 2022 to 2026

This paper presents a rapid and robust approach for 3D volumetric segmentation, labelling, and registration of human spinal vertebrae from CT scans using an optimised and improved 3D U-Net neural network architecture. The network is designed by incorporating residual and dense interconnections, followed by an extensive evaluation of different network setups by optimising the network components like activation functions, optimisers, and pooling operations. In addition, the network architecture is optimised for varying numbers of convolution layers per block and U-Net levels with fixed and cascading numbers of filters. For 3D virtual reality visualisation, the segmentation output of the improved 3D …

Discordance Of Small Dense Ldl Cholesterol Beyond Ldl Cholesterol Or Non–Hdl Cholesterol And Carotid Plaque, Jinqi Wang, Xiaoyu Zhao, Yanchen Zhao, Rui Jin, Yunfei Li, Jiahe Wang, Yueruijing Liu, Zhiyuan Wu, Xiuhua Guo, Lixin Tao

Research outputs 2022 to 2026

Background: Different low-density lipoprotein (LDL) particles exhibit distinct proatherogenic properties. Objectives: This study sought to evaluate associations of small dense low-density lipoprotein cholesterol (sdLDL-C), large buoyant low-density lipoprotein cholesterol (lbLDL-C), sdLDL-C/LDL-C ratio, and sdLDL-C/lbLDL-C ratio with carotid plaque (CP) risk in the general population, and to perform discordance analyses to determine which biomarker better reflects CP risk beyond low-density lipoprotein cholesterol (LDL-C) and non–high-density lipoprotein cholesterol (non-HDL-C). Methods: This study enrolled 20,369 participants from Beijing Health Management Cohort. Discordant sdLDL-C, lbLDL-C, or ratio metrics (sdLDL-C/LDL-C and sdLDL-C/lbLDL-C) relative to LDL-C or non-HDL-C, and discordant ratio metrics relative to sdLDL-C, were …

Evaluation Of The Wound Healing And Anti-Microbial Activity Of Hydroethanolic Extracts Of Young And Old Leaves Of Vernonia Amygdalina Delile, Du-Bois Asante, Christian Kweku Adokoh, Elvis Ofori Ameyaw, Desmond Omane Acheampong, Ebenezer Afrifa-Yamoah, Precious Barnes, Gideon Agyeah, Ruben Phillips, Julie Sartori

Research outputs 2022 to 2026

Background: Vernonia amygdalina Delile (VA) has been reported as an important herb for the management of wound in traditional medical settings. However, the evaluation of the wound healing and antimicrobial effect of the young and old leaves of VA is lacking. Objective This study sought to determine the cutaneous wound healing and in vitro anti-microbial activities of the young and old leaf extracts of VA. Methods Mineral elements that aid in wound healing and vitamin C levels were evaluated in the young and old leaves of VA. Phytochemical analysis of the hydroethanolic leaf extracts of the young leaves (HEthYL) and …

A Scoping Review On The Integration Of Artificial Intelligence In Point-Of-Care Ultrasound: Current Clinical Applications, Junu Kim, Sandhya Maranna, Caterina Watson, Nayana Parange

Research outputs 2022 to 2026

Background: Artificial intelligence (AI) is used increasingly in point-of-care ultrasound (POCUS). However, the true role, utility, advantages, and limitations of AI tools in POCUS have been poorly understood. Aim: to conduct a scoping review on the current literature of AI in POCUS to identify (1) how AI is being applied in POCUS, and (2) how AI in POCUS could be utilized in clinical settings. Methods: The review followed the JBI scoping review methodology. A search strategy was conducted in Medline, Embase, Emcare, Scopus, Web of Science, Google Scholar, and AI POCUS manufacturer websites. Selection criteria, evidence screening, and selection were …

Pre-Amplification Of Cell-Free Dna: Balancing Amplification Errors With Enhanced Sensitivity, Wei Yen Chan, Ashleigh Stewart, Russell J. Diefenbach, Elin S. Gray, Jenny H. Lee, Richard A. Scolyer, Georgina V. Long, Helen Rizos

Research outputs 2022 to 2026

Circulating tumour DNA (ctDNA) is a promising biomarker for personalised oncology. However, its clinical utility is limited by detection sensitivity, particularly in early-stage disease. T-Oligo Primed Polymerase Chain Reaction (TOP-PCR) is a commercial amplification approach utilising an efficient “half-adapter” ligation design and a single-primer-based PCR strategy. This study evaluated the clinical value and application of cell-free DNA (cfDNA) pre-amplification. cfDNA amplification with TOP-PCR preserved DNA size profiles and resulted in a 22 bp size increase due to the half-adaptor ligation. Gene target amplification rates varied, showing lower efficiency for the GC-rich TERT promoter amplicon and higher efficiency for the BRAF …

Efficacy And Safety Of Moxibustion For Knee Osteoarthritis: A Systematic Review And Meta-Analysis, Shun Chen, Weiting Liu, Changhao Liang, Hanjiang Liu, Pei Wang, Qinwei Fu

Research outputs 2022 to 2026

Background and purpose: Although several reviews have examined moxibustion for knee osteoarthritis (KOA), they have some methodological limitations. This systematic review aims to synthesize current evidence on various moxibustion interventions for KOA pain relief. Methods: We conducted a comprehensive search across seven databases up to June 2024. The Cochrane risk of bias tool (ROB2) was used to assess the risk of bias, and the Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) criterion approach was employed to evaluate the certainty of evidence for primary outcomes. Primary outcomes included Visual Analogue Scale (VAS), Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC), …

Does Acupuncture At Motor-Related Acupoints Affect Corticospinal Excitability? A Systematic Review And Meta-Analysis, Renming Liu, Aung Aung Kywe Moe, Weiting Liu, Maryam Zoghi, Shapour Jaberzadeh

Research outputs 2022 to 2026

Background: Acupuncture is widely used in modulating brain excitability and motor function, as a form of complementary and alternative medicine. However, there is no existing meta-analysis evaluating the effectiveness and safety of acupuncture on corticospinal excitability (CSE), and the credibility of the evidence has yet to be quantified. Objective: This study was designed to assess the efficacy and safety of electroacupuncture (EA) and manual acupuncture (MA) in enhancing brain excitability, specifically focusing on CSE as measured by transcranial magnetic stimulation (TMS). Search strategy: This study followed a systematic approach, searching 9 databases up to August 2024 and examining grey literature, …