Medical Engineering & Physics最新文献

{"title":"Clinical evaluation of prosthetic hand: A systematic review on existing methods, limitations and future directions","authors":"Amlan Jyoti Kalita ,&nbsp;Zahnupriya Kalita ,&nbsp;Nayan M. Kakoty ,&nbsp;Satyajit Borah","doi":"10.1016/j.medengphy.2025.104432","DOIUrl":"10.1016/j.medengphy.2025.104432","url":null,"abstract":"<div><div>Clinical testing of a prosthetic hand is a collaborative process between roboticists, prosthetists and researchers, aiming to produce the best possible functionality and comfort while satisfying the needs of users. Although many studies have reported on the existing state and future possibilities of prosthetic hands, few have studied the role of clinical testing in the development of prosthetic hands. This review aims to study existing literature on the clinical evaluation of prosthetic hands, present an overview of current clinical testing approaches, highlight their limitations, and outline potential future directions. A keyword-based search strategy was used to scan five electronic databases: DOAJ, Web of Science, PubMed, Scopus and IEEE Xplore. This paper provides an overview of various clinical testing of research prototypes and their clinical efficacy. This manuscript detailed the current scenario of clinical testing and prosthetic hand assessment methods. The potential impact of prosthesis simulators on saving time and resources in clinical testing is highlighted. The trend of clinical testing from traditional to big data methods for more user-centric developments has been identified. Moreover, the limitations of existing clinical studies and the future direction of clinical testing are presented for further community research.</div></div>","PeriodicalId":49836,"journal":{"name":"Medical Engineering & Physics","volume":"146 ","pages":"Article 104432"},"PeriodicalIF":2.3,"publicationDate":"2025-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145099455","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A 3D scanning system for measuring subcutaneous tumors in laboratory animals and expanded application to melanoma volume measurements","authors":"Aiyue Zhang ,&nbsp;Yuke Zhu ,&nbsp;Xing Fu ,&nbsp;Bo Liu ,&nbsp;Jinbin Cui ,&nbsp;Yanxian Wu ,&nbsp;Yangyun Wang ,&nbsp;Leshuai W. Zhang","doi":"10.1016/j.medengphy.2025.104440","DOIUrl":"10.1016/j.medengphy.2025.104440","url":null,"abstract":"<div><div>In preclinical drug development, subcutaneous tumor volume is a critical parameter for evaluating disease progression and therapeutic efficacy. Although multiple techniques are now available for measuring tumor volume, manual calipers—despite their susceptibility to inaccuracy and observer bias—remain the conventional standard. This study systematically compares the accuracy, detection sensitivity, and observer variability of tumor volume measurements obtained via calipers versus 3D scanning. Both clay and tumor models were analyzed to assess measurement performance. Our results demonstrate that 3D scanning provides superior accuracy in tumor volume quantification compared to calipers. In clay models, 3D scanning exhibited stronger correlation with reference volumes. In vivo experiments further revealed that 3D scanning reduced measurement error, enabled earlier detection of radiotherapy responses, and improved observer reproducibility. Additionally, while the 3D scanner initially struggled with dark-colored melanoma and black clay models due to optical limitations, application of white food-grade spraying allowed accurate volumetric measurements, thereby expanding the technology’s applicability across diverse tumor types. Collectively, these findings establish 3D scanning as a transformative approach for preclinical tumor volumetry, addressing the critical limitations of conventional caliper methods, and ultimately providing researchers with a more reliable and standardized tool for therapeutic assessment in cancer studies.</div></div>","PeriodicalId":49836,"journal":{"name":"Medical Engineering & Physics","volume":"146 ","pages":"Article 104440"},"PeriodicalIF":2.3,"publicationDate":"2025-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145118774","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessment of microstructure, microbial count with adherence and ion leaching of calcium hydroxide filled SPRG restorative material: A SEM and confocal analysis","authors":"Mohammad Nemat Sache ,&nbsp;Manish Ranjan ,&nbsp;Mohammad Fareed ,&nbsp;Mohmed Isaqali Karobari","doi":"10.1016/j.medengphy.2025.104438","DOIUrl":"10.1016/j.medengphy.2025.104438","url":null,"abstract":"<div><h3>Aim</h3><div>This study investigates the characterization of a calcium hydroxide-filled SPRG (Surface Pre-Reacted Glass Ionomer) restorative material. The analysis focuses on the material's microstructure and antimicrobial properties, specifically its efficacy against Streptococcus mutans, a common oral bacterium. Using Scanning Electron Microscopy (SEM) and confocal microscopy, we examine the material's surface morphology, microbial adherence, and ion leaching capabilities. The goal is to assess the material’s suitability for deep caries management and its potential as a dentine replacement.</div></div><div><h3>Methods and Materials</h3><div>Discs of Calcium Hydroxide filled SPRG Restorative Material were prepared (10 mm x 2 mm). SEM was employed to observe the surface morphology and microstructural characteristics of the material. To evaluate microbial adherence and count, confocal microscopy was used with Streptococcus mutans cultured on the material. The leaching of calcium and fluoride ions was quantified using the Ion Selective Electrode (ISE) method.</div></div><div><h3>Results</h3><div>The results showed significant leaching of calcium and fluoride ions, indicating the material's potential for ion release. SEM analysis provided detailed insights into the microstructure of the SPRG restorative material, while confocal microscopy revealed a clear distinction between live and dead Streptococcus mutans colonies, suggesting that the fluoride and calcium ion leaching contributed to effective antimicrobial properties.</div></div><div><h3>Conclusion</h3><div>Calcium hydroxide-filled SPRG restorative materials show promise for dental applications, with ion release and effective antimicrobial properties making them strong candidates for managing deep caries and potentially replacing dentine. Ongoing research could optimize these materials for clinical use, advancing restorative dentistry.</div></div>","PeriodicalId":49836,"journal":{"name":"Medical Engineering & Physics","volume":"146 ","pages":"Article 104438"},"PeriodicalIF":2.3,"publicationDate":"2025-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145118777","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Technical note: Exploring acoustic emission characteristics from quasistatic compression testing of aged and fresh bovine cortical bone","authors":"McKenna Roan ,&nbsp;Nick Hudyma ,&nbsp;George G.A. Pujalte ,&nbsp;Jeff T. Wight","doi":"10.1016/j.medengphy.2025.104439","DOIUrl":"10.1016/j.medengphy.2025.104439","url":null,"abstract":"<div><div>Bone specimens are preserved using various methods, which have been shown to influence their material properties. An unexplored process of assessing the influence of preservation methods is using acoustic emission (AE) monitoring during quasistatic compression testing. AEs are transient ultrasonic waves generated during abrupt, localized plastic deformation. AE waveforms were collected and assessed for specimens preserved with two methods: fresh frozen and aged by boiling and bleaching. Results demonstrated that aged specimens exhibit different AE characteristics compared to fresh specimens, including an earlier onset of microcracking, higher AE event counts, and greater AE amplitudes and energies. Aged specimens generally showed a mix of tensile and shear microcracks, while fresh specimens predominantly exhibited shear microcracks. This study highlights the influence of preservation methods on the AE characteristics of bone tested in compression, providing valuable insight into the differences in microcracking phenomena between fresh and aged specimens.</div></div>","PeriodicalId":49836,"journal":{"name":"Medical Engineering & Physics","volume":"145 ","pages":"Article 104439"},"PeriodicalIF":2.3,"publicationDate":"2025-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145157884","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Tuning sensitivity and limit of detection of nanoparticle dimer based on SiO2@Au core-shell for breast cancer diagnosis and prediction of treatment benefit","authors":"Chaimae. El Garrab,&nbsp;Mohssin. Zekriti","doi":"10.1016/j.medengphy.2025.104437","DOIUrl":"10.1016/j.medengphy.2025.104437","url":null,"abstract":"<div><div>For many years, Mammographic screening has been considered as the most utilized tool for clinical diagnosis of breast cancer. However, when it comes to tumors with small size, particularly those located deep in the breast or behind dense tissue, Mammography is unable to detect the presence of tiny nodules in the breast, making it less suitable for the early diagnosis of breast cancer. The early prognosis remains, hence, a challenging task for public health worldwide. This theoretical study focuses on the design and computational analysis of SiO2@Au core-shell nanoparticle dimers for potential application in breast cancer detection using serological tests. The study uses the well-known Finite-Difference Time-Domain (FDTD) method to simulate and study the role of the proposed configuration in enhancing the electric field intensity at the hot-spot. To design our configurations, we use the golden ratio constant (φ), which enables the determination of the core and the shell radii that yield the optimal response in terms of the absorption spectrum and the electric field enhancement. Our results show that the proposed approach significantly enhances the electric field intensity at the hot-spot, achieving an amplification factor of 1.9 × 10³. This enhancement amplifies the interaction between light and the targeted molecules located at the hot spot, thereby improving detection sensitivity. Furthermore, the detection limit reaches 0. 4 × 10⁻⁶ RIU, which is several times lower than that of conventional LSPR sensors. These enhanced performance characteristics of the proposed configuration pave the way for its use in high-precision breast cancer diagnosis and prediction of treatment benefits.</div></div>","PeriodicalId":49836,"journal":{"name":"Medical Engineering & Physics","volume":"146 ","pages":"Article 104437"},"PeriodicalIF":2.3,"publicationDate":"2025-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145118776","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effects of hip joint rotation on the trochanteric force and soft tissue thickness during sideways falls","authors":"Jongwon Choi ,&nbsp;Junwoo Park ,&nbsp;Seyoung Lee ,&nbsp;Kitaek Lim ,&nbsp;Chunghwi Yi ,&nbsp;Stephen Robinovitch ,&nbsp;Woochol Joseph Choi","doi":"10.1016/j.medengphy.2025.104436","DOIUrl":"10.1016/j.medengphy.2025.104436","url":null,"abstract":"<div><div>We measured the trochanteric soft tissue thickness (TSTT) to determine the force magnitude delivered to the proximal femur (<em>F_trochanteric</em>), and examined how the TSTT and <em>F_trochanteric</em> were affected by hip rotation during sideways falls.</div><div>Twenty individuals participated in pelvis release experiments. Trials were acquired with three hip rotations: 15° external, 0° (neutral), and 15° internal. During trials, kinetics and kinematics of the pelvis and lower extremities were recorded. Outcome variables included the effective stiffness of the pelvis (<em>k</em>), <em>F_trochanteric</em>, TSTT, and force magnitude attenuated by the TSTT (<em>F_attenuation</em>).</div><div>The <em>k</em> and <em>F_trochanteric</em> were associated with hip rotation (<em>F</em>= 5.06, <em>p</em>= 0.011; <em>F</em>= 5.49, <em>p</em>= 0.008, respectively). Both outcome variables were 14 % and 15 % smaller in external compared to neutral and internal rotation, respectively (45.3 versus 52.8 kN/m; 5448 versus 6425 N). However, neither the TSTT nor the <em>F_attenuation</em> was associated with hip rotation (<em>F</em>= 2.92, <em>p</em>= 0.066; <em>F</em>= 2.30, <em>p</em>= 0.114, respectively).</div><div>The <em>F_trochanteric</em> decreased with hip external rotation at impact. This was attributed to decreased pelvis stiffness rather than enhanced protective benefits (i.e., force attenuation) provided by the trochanteric soft tissue. These findings offer valuable insights into the distribution of hip impact forces and may contribute to a better understanding of hip impact biomechanics during falls.</div></div>","PeriodicalId":49836,"journal":{"name":"Medical Engineering & Physics","volume":"146 ","pages":"Article 104436"},"PeriodicalIF":2.3,"publicationDate":"2025-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145099332","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Stiffness-observation-based force feedforward compensation control for interactive robot-assisted surgical bone milling","authors":"Hao Ren ,&nbsp;Zhichao Li ,&nbsp;Zhaowei Liang ,&nbsp;Wenqing Ren ,&nbsp;Xiaodong Ma ,&nbsp;Dan Wu","doi":"10.1016/j.medengphy.2025.104431","DOIUrl":"10.1016/j.medengphy.2025.104431","url":null,"abstract":"<div><div>Robot-assisted surgery encounters critical force control challenges during risky operations like craniotomy skull milling, where collaborative operation demands adaptation to three surgical-specific complexities: multi-scale stiffness variations across biological tissues, abrupt stiffness discontinuities at critical boundaries (e.g. skull-dura interface), and unintuitive operator inputs during human-robot interaction. Consequently, controllers must dynamically adapt to this wide spectrum of tissue properties, a capability which exceeds the limits of conventional compliance control frameworks. This work presents a stiffness-observation-based force feedforward compensation controller that monitors the force-feedrate differential relationship to estimate real-time tissue stiffness, discriminating tissue types while compensating real-time force controllers. This controller is integrated into an active-constrained framework, replacing compliance control in the depth direction during milling operations. It establishes a hierarchical force control architecture where stiffness-derived information autonomously steers safety strategies, while surgeon-defined force constraints enable shared autonomy in human-robot interaction. The controller is numerically validated in simulated surgical environments and experimentally tested via in vivo craniotomies, demonstrating effective force tracking and safety assurance during complex milling tasks. By converting stiffness observations into real-time control actions, this approach enhances surgical safety in bone-tissue boundary transitions while maintaining intuitive human-robot collaboration.</div></div>","PeriodicalId":49836,"journal":{"name":"Medical Engineering & Physics","volume":"146 ","pages":"Article 104431"},"PeriodicalIF":2.3,"publicationDate":"2025-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145099334","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Treatment response prediction in rectal cancer patients: A radiomics study of multimodality imaging methods","authors":"Yan Huang ,&nbsp;Le Lin ,&nbsp;Shuke Sun ,&nbsp;Huande Hong","doi":"10.1016/j.medengphy.2025.104434","DOIUrl":"10.1016/j.medengphy.2025.104434","url":null,"abstract":"<div><h3>Purpose</h3><div>The present work aims to assess the correlation of radiomics textural features derived from computed tomography (CT), magnetic resonance imaging (MRI), and endorectal ultrasound (EUS) images, combined with dosimetric and clinical features, to predict treatment response in patients with rectal cancer using machine learning algorithms.</div></div><div><h3>Methods</h3><div>Data from 84 individuals diagnosed with locally advanced rectal cancer (LARC) were utilized, and radiomic features were extracted from the specified region of interest. Feature selection was performed using the Least Absolute Shrinkage and Selection Operator (Lasso), Minimum Redundancy Maximum Relevance (MRMR), and Recursive Feature Elimination (RFE). Predictive modeling employed machine learning algorithms, including Support Vector Machine (SVM) and Logistic Regression (LR). Model performance was assessed based on metrics including accuracy (ACC), area under the receiver operating characteristic curve (AUC), precision, sensitivity, and specificity.</div></div><div><h3>Results</h3><div>For CT images, the MRMR method (for original images) and RFE (with a wavelet filter), combined with the LR model, achieved the best performance (ACC: 0.79; AUC: 0.78). The highest predictive performance for MRI radiomic features was obtained using MRMR and the SVM model for original images (ACC: 0.88; AUC: 0.87). Furthermore, for images with the wavelet filter, the combination of RFE and the LR model yielded the best results (ACC: 0.78; AUC: 0.87). For EUS images, the MRMR and LR models showed the best predictive performance for both original (ACC: 0.89; AUC: 0.89) and filtered images (ACC: 0.81; AUC: 0.80).</div></div><div><h3>Conclusion</h3><div>The findings indicate that radiomics features obtained from pretreatment CT, MRI, and EUS images have the potential to accurately predict treatment response in patients with LARC. The SVM and LR classifiers, when combined with MRMR and RFE feature selection algorithms and the wavelet filter, demonstrated robust predictive performance. Among the different imaging modalities, EUS produced the best results in terms of ACC and AUC values.</div></div>","PeriodicalId":49836,"journal":{"name":"Medical Engineering & Physics","volume":"146 ","pages":"Article 104434"},"PeriodicalIF":2.3,"publicationDate":"2025-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145099333","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Robustness analysis of soft Gaussian Mixture Model clustering for acoustic emission features in characterizing osteoarthritic knees","authors":"Nazmush Sakib ,&nbsp;Tawhidul Islam Khan ,&nbsp;Md. Mehedi Hassan ,&nbsp;Shuya Ide","doi":"10.1016/j.medengphy.2025.104435","DOIUrl":"10.1016/j.medengphy.2025.104435","url":null,"abstract":"<div><div>Acoustic emission (AE) is a well-established non-destructive evaluation (NDE) method that currently holds enormous potential for the early detection of knee osteoarthritis (OA). Knee joints have intrinsic complexity, resulting in marked variability of the obtained AE signals. This problem complicates the distinction between the AE signatures of different knee conditions. In this regard, Machine learning (ML) algorithms, particularly the Gaussian Mixture Model (GMM), can solve this problem by identifying the overlapping data points generated from different knee joint conditions. Early studies had limitations in the generalizability of their findings due to the small dataset. Therefore, a comprehensive evaluation of the robustness of soft GMM clustering in handling overlapping data points is needed. The current study constitutes further efforts to bridge this knowledge gap by investigating the robustness of GMM clustering in detecting overlapping AE data from knee joints. This study presents a comprehensive statistical analysis of cluster properties before and after soft GMM clustering to identify and remove overlapping data points. The results of this investigation confirm the robustness of soft GMM in clustering AE features for the intelligent assessment of knee health.</div></div>","PeriodicalId":49836,"journal":{"name":"Medical Engineering & Physics","volume":"146 ","pages":"Article 104435"},"PeriodicalIF":2.3,"publicationDate":"2025-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145099456","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"BAEN-SKCNN: A novel framework for scoliosis early screening and severity diagnosis using unclothed back images","authors":"Jie Cao ,&nbsp;Lingfeng Xie ,&nbsp;Bingjin Wang ,&nbsp;Chao Deng ,&nbsp;Changhe Zhang ,&nbsp;Zidong Yu","doi":"10.1016/j.medengphy.2025.104429","DOIUrl":"10.1016/j.medengphy.2025.104429","url":null,"abstract":"<div><div>Scoliosis is a common spinal disease and it’s early screening is essential for planning treatment and avoiding deterioration. The traditional screening methods for scoliosis have the disadvantages of unnecessary radiation exposure, the dependence on equipment, and the high demand on operators. Although the advent of deep learning techniques provides a new perspective for rapid and convenient screening of scoliosis, the existing related research faces challenges caused by issues such as image background diversity, image size inconsistency, and class imbalance. In order to solve the about problems, a method based on BAEN-SKCNN is proposed for early screening and severity diagnosis of scoliosis using back images. Specifically, BAEN is constructed to extract the back region to improve the diagnostic accuracy and model universality. Spatial pyramid pooling and selective kernel network are used to construct SKCNN for early screening and severity diagnosis of scoliosis. On a self-made scoliosis dataset, the proposed method achieves 98 % accuracy for early screening and 73 % accuracy for severity diagnosis, respectively. Combined with the APP software developed, the proposed method can easily and quickly complete the diagnosis of scoliosis without the limitation of venues, equipment and personnel. It has a certain application prospect in the large-scale screening of scoliosis, and has certain clinical significance for improving the diagnostic rate of scoliosis.</div></div>","PeriodicalId":49836,"journal":{"name":"Medical Engineering & Physics","volume":"146 ","pages":"Article 104429"},"PeriodicalIF":2.3,"publicationDate":"2025-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145049930","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}