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Autophagosome (AP)–lysosome/vacuole fusion is one of the hallmarks of macroautophagy. Membrane features and changes during the fusion process have mostly been described using two-dimensional (2D) models with one AP and one lysosome/vacuole. The outer membrane (OM) of a closed mature AP has been suggested to fuse with the lysosomal/vacuolar membrane. However, the descriptions in some studies for fusion-related issues are questionable or incomplete. The correct membrane features of APs and lysosomes/vacuoles are the prerequisite for describing the fusion process. We searched the literature for representative membrane features of AP-related structures based on electron microscopy (EM) graphs of both animal and yeast cells and re-evaluated the findings. We also summarized the main 2D models describing the membrane changes during AP–lysosome/vacuole fusion in the literature. We used three-dimensional (3D) models to characterize the known and unknown membrane changes during and after fusion of the most plausible 2D models. The actual situation is more complex, since multiple lysosomes may fuse with the same AP in mammalian cells, multiple APs may fuse with the same vacuole in yeast cells, and in some mutant cells, phagophores (unclosed APs) fuse with lysosomes/vacuoles. This review discusses the membrane features and highly dynamic changes during AP (phagophore)–lysosome/vacuole fusion. The resulting information will improve the understanding of AP–lysosome/vacuole fusion and direct the future research on AP–lysosome/vacuole fusion and regeneration. [ABSTRACT FROM AUTHOR]

A healthy heart comprises various cell types, including cardiomyocytes, endothelial cells, fibroblasts, immune cells, and among others, which work together to maintain optimal cardiac function. These cells engage in complex communication networks, known as cell-cell interactions (CCIs), which are essential for homeostasis, cardiac structure, and efficient function. However, in the context of cardiac diseases, the heart undergoes damage, leading to alterations in the cellular composition. Such pathological conditions trigger significant changes in CCIs, causing cell rearrangement and the transition between cell types. Studying these interactions can provide valuable insights into cardiac biology and disease mechanisms, enabling the development of new therapeutic strategies. While the development of cardiac organoids and advanced 3D co-culture technologies has revolutionized in vitro studies of CCIs, recent advancements in single-cell and spatial multi-omics technologies provide researchers with powerful and convenient tools to investigate CCIs at unprecedented resolution. This article provides a concise overview of CCIs observed in both normal and injured heart, with an emphasis on the cutting-edge methods used to study these interactions. It highlights recent advancements such as 3D co-culture systems, single-cell and spatial omics technologies, that have enhanced the understanding of CCIs. Additionally, it summarizes the practical applications of CCI research in advancing cardiovascular therapies, offering potential solutions for treating heart disease by targeting intercellular communication. [ABSTRACT FROM AUTHOR]

Radiotherapy (RT) is an integral part of managing pediatric brain tumors, yet many patients develop tumor radioresistance, leading to recurrence and poor clinical outcomes. In addition, neurocognitive impairment is a common long-term side effect of RT, significantly impairing quality of life. Indeed, increasing evidence suggests that the developing child's brain is particularly vulnerable to the neurotoxic effects of ionizing radiation. Consequently, developing novel preclinical models is crucial for studying radiation's impact on normal brain tissue and predicting patient-specific responses to RT, enabling the development of personalized therapies combined with RT. However, this area remains underexplored, primarily due to the transfer of results gathered from in vitro tumor models from adults to pediatric entities while the location and molecular characteristics of the brain tumor differ. Recent years have seen the emergence of patient-specific 3D in vitro models, which have been established for entities including glioblastoma and medulloblastoma. These models better mimic primary parenteral tumors more closely in their histological, transcriptional, and mutational characteristics, thus approximating their intratumoral heterogeneity more accurately than conventional 2D-models. In this review, we presented the main limits of pediatric brain tumor radiotherapy, including mechanisms of radioresistance, associated tumor relapse, and the side effects of irradiation on the central nervous system. We also conducted an exhaustive review to identify studies utilizing basic or advanced 3D models of pediatric brain tumors combined with irradiation and discussed how these models can overcome the limitations of RT. [ABSTRACT FROM AUTHOR]

• Disciplines such as biomaterials, biofabrication, and tissue engineering are converging to create more advanced tissue-like constructs that accurately reproduce detailed physical and biological properties. • Researchers now have access to a range of tools that enable them to replicate microenvironmental features such as heterogeneity, anisotropy, hierarchical structures, compositional gradients and interfaces, and spatiotemporal cues. • Advanced models are strengthening our understanding of the mechanisms that govern tissue function and disease. • While not fully resembling the complexity of human tissue, engineered models enable researchers to investigate and adapt subsets of parameters, addressing targeted research questions. Advances in tissue engineering for both system modeling and organ regeneration depend on embracing and recapitulating the target tissue's functional and structural complexity. Microenvironmental features such as anisotropy, heterogeneity, and other biochemical and mechanical spatiotemporal cues are essential in regulating tissue development and function. Novel biofabrication strategies and innovative biomaterial design have emerged as promising tools to better reproduce such features. These facilitate a transition towards high-fidelity biomimetic structures, offering opportunities for a deeper understanding of tissue function and the development of superior therapies. In this review, we explore some of the key structural and compositional aspects of tissues, lay out how to achieve similar outcomes with current fabrication strategies, and identify the main challenges and promising avenues for future research. [ABSTRACT FROM AUTHOR]

Seed geometric parameters are important in yielding trait scorers, quantitative trait loci, and species recognition and classification. A novel method for automatic measurement of three-dimensional seed phenotypes is proposed. First, a handheld three-dimensional (3D) laser scanner is employed to obtain the seed point cloud data in batches. Second, a novel point cloud-based phenotyping method is proposed to obtain a single-seed 3D model and extract 33 phenotypes. It is connected by an automatic pipeline, including single-seed segmentation, pose normalization, point cloud completion by an ellipse fitting method, Poisson surface reconstruction, and automatic trait estimation. Finally, two statistical models (one using 11 size-related phenotypes and the other using 22 shape-related phenotypes) based on the principal component analysis method are built. A total of 3400 samples of eight kinds of seeds with different geometrical shapes are tested. Experiments show: (1) a single-seed 3D model can be automatically obtained with 0.017 mm point cloud completion error; (2) 33 phenotypes can be automatically extracted with high correlation compared with manual measurements (correlation coefficient (R2) above 0.9981 for size-related phenotypes and R2 above 0.8421 for shape-related phenotypes); and (3) two statistical models are successfully built to achieve seed shape description and quantification. [ABSTRACT FROM AUTHOR]

Background: Percutaneous nephrolithotomy (PCNL) is associated with a wide range of complications. This review aims to explore how recent technological advancements and personalized medicine can help prevent or predict these complications. Methods: A scoping review was conducted according to the PRISMA-SCR guidelines and registered on the Open Science Framework in April 2024. A literature search was performed on PUBMED, Web of Science, and Scopus databases. This review focused on predictive AI models, 3D surgical models, intrasurgical image guidance, and biomarkers. Articles meeting the following criteria were included: publication between 2019 and 2024, written in English, involving human participants, and discussing technological advancements or personalized medicine in the context of complications in PCNL. Results: Of the 11,098 articles searched, 35 new studies were included. We identified a few articles on predictive AI models. Several studies demonstrated that 3D presurgical models and virtual models could enhance surgical planning and reduce complications. New intrasurgical image and guidance systems showed the potential in reducing bleeding and radiation exposure. Finally, several biomarkers were identified as predictors of sepsis and other complications. Conclusion: This scoping review highlights the potential of emerging technologies in reducing and predicting PCNL complications. However, larger prospective studies are required for validation. [ABSTRACT FROM AUTHOR]

Bladder cancer (BCa) is one of the most lethal genitourinary malignancies owing to its propensity for recurrence and poor survival. The biochemical pathway, signal transducer and activator of transcription 3 (STAT3), has gained significance as a molecular pathway that promotes proliferation, invasion, and chemoresistance. In this study, we explored the targeting of STAT3 with TTI-101 and SH5-07 in BCa and elucidated the mechanisms in three-dimensional (3D) spheroid and organoid models. We optimized the growth of spheroids from human, rat, and mouse BCa cell lines (J82, NBT-II, and MB49 respectively) and organoids from BBN (N-butyl-N-(4-hydroxybutyl)-nitrosamine)-induced rat bladder tumors. Cell viability was assessed using MTT and trypan blue assays. Intracellular ATP production, ROS production, and calcium AM (CA)/EtBr staining were used to measure the spheroid and organoid inhibition and mitochondrial function. Western blot analysis was performed to evaluate the pharmacodynamic markers involved in cell proliferation, apoptosis, cancer stem cells (CSCs), and STAT3 signaling in BCa. We found that targeting STAT3 (using TTI-101 and SH5-07) significantly reduced the proliferation of BCa spheroids and organoids, which was accompanied by decreased expression of pSTAT3, Cyclin D1, and PCNA. Our data also demonstrated that treatment with STAT3 inhibitors induced ROS production and cell death in BCa spheroids and organoids. STAT3 inhibition-induced cell death was associated with the activation of caspase 3/7 and PARP cleavage. Moreover, TTI-101 and SH5-07 target cancer stem cells by downregulating the expression of CD44 and CD133 in 3D models. This study provides the first evidence for the prevention of BCa with small-molecule inhibitors TTI-101 and SH5-07 via suppression of CSCs and STAT3 signaling. [ABSTRACT FROM AUTHOR]

This study aimed to compare three‐dimensional (3D) proximal femoral and acetabular surface models generated from 3.0T magnetic resonance imaging (MRI) to the clinical gold standard of computed tomography (CT). Ten intact fresh‐frozen cadaveric hips underwent CT and 3.0T MRI scans. The CT‐ and MRI‐based segmented models were superimposed using a validated 3D–3D registration volume‐merge method to compare them. The least surface‐to‐surface distance between the models was calculated by a point‐to‐surface calculation algorithm using a custom‐written program. The variables of interest were the signed and absolute surface‐to‐surface distance between the paired bone models. One‐sample t‐tests were performed using a signed and absolute test value of 0.16 mm and 0.37 mm, respectively, based on a previous study that validated 1.5T MRI bone models by comparison with CT bone models. For the femur, the average signed and absolute surface‐to‐surface distance was 0.18 ± 0.09 mm and 0.30 ± 0.06 mm, respectively. There was no difference in the signed surface‐to‐surface distance and the 0.16 mm test value (t = 0.650, p = 0.532). However, the absolute surface‐to‐surface difference was less than the 0.37 mm test value (t = −4.025, p = 0.003). For the acetabulum, the average signed and absolute surface‐to‐surface distance was −0.06 ± 0.06 mm and 0.26 ± 0.04 mm, respectively. The signed (t = −12.569, p < 0.001) and absolute (t = −8.688, p < 0.001) surface‐to‐surface difference were less than the 0.16 mm and 0.37 mm test values, respectively. Our data shows that 3.0T MRI bone models are more similar to CT bone models than previously validated 1.5T MRI bone models. This is likely due to the higher resolution of the 3T data. [ABSTRACT FROM AUTHOR]

The use of a 3D model for patient education has shown encouraging results in surgical specialties like plastic surgery and neurosurgery, amongst many others; however, there is limited research on the clinical application of 3D models for Mohs Micrographic Surgery. This study delves into the utilization of 3D models for patient education in Mohs Surgery by juxtaposing different 3D modalities, highlighting their differences, and exploring potential avenues for future integration of 3D models into clinical practice. A literature search in the scientific database MEDLINE through PubMed and OVID and on the ProQuest Health & Medical Collection database was performed on the use of a 3D model for patient education. We limited the search to articles available in English and considered those mentioning the educational use of 3D models, especially for patient education, after excluding duplicate titles. We did not exclude articles based on publication year due to limited availability of literature. Utilizing 3D models for patient education within the framework of Mohs Micrographic surgery, including a 3D multicolored clay model and a 3D model accompanied by an educational video intervention, presents substantial advantages. 3D models offer a visual and tactile means to improve patients’ comprehension of the Mohs procedure, the affected area, and possible outcomes. They hold the potential to reduce patient anxiety and improve decision-making. Currently, literature on the use of 3D models for patient education in Mohs Micrographic Surgery is limited, warranting further research in this area. [ABSTRACT FROM AUTHOR]

Purpose of Review: This review explores the cardiovascular toxicity associated with cancer therapies, emphasizing the significance of the growing field of cardio-oncology. It aims to elucidate the mechanisms of cardiotoxicity due to radiotherapy, chemotherapy, and targeted therapies, and to discuss the advancements in human induced pluripotent stem cell technology (hiPSC) for predictive disease modeling. Recent Findings: Recent studies have identified several chemotherapeutic agents, including anthracyclines and kinase inhibitors, that significantly increase cardiovascular risks. Advances in hiPSC technology have enabled the differentiation of these cells into cardiovascular lineages, facilitating more accurate modeling of drug-induced cardiotoxicity. Moreover, integrating hiPSCs into clinical trials holds promise for personalized cardiotoxicity assessments, potentially enhancing patient-specific therapeutic strategies. Summary: Cardio-oncology bridges oncology and cardiology to mitigate the cardiovascular side-effects of cancer treatments. Despite advancements in predictive models using hiPSCs, challenges persist in accurately replicating adult heart tissue and ensuring reproducibility. Ongoing research is essential for developing personalized therapies that balance effective cancer treatment with minimal cardiovascular harm. [ABSTRACT FROM AUTHOR]

In this study, a deep learning-based workflow designed for the segmentation and 3D modeling of bones in cone beam computed tomography (CBCT) orthopedic imaging is presented. This workflow uses a convolutional neural network (CNN), specifically a U-Net architecture, to perform precise bone segmentation even in challenging anatomical regions such as limbs, joints, and extremities, where bone boundaries are less distinct and densities are highly variable. The effectiveness of the proposed workflow was evaluated by comparing the generated 3D models against those obtained through other segmentation methods, including SegNet, binary thresholding, and graph cut algorithms. The accuracy of these models was quantitatively assessed using the Jaccard index, the Dice coefficient, and the Hausdorff distance metrics. The results indicate that the U-Net-based segmentation consistently outperforms other techniques, producing more accurate and reliable 3D bone models. The user interface developed for this workflow facilitates intuitive visualization and manipulation of the 3D models, enhancing the usability and effectiveness of the segmentation process in both clinical and research settings. The findings suggest that the proposed deep learning-based workflow holds significant potential for improving the accuracy of bone segmentation and the quality of 3D models derived from CBCT scans, contributing to better diagnostic and pre-surgical planning outcomes in orthopedic practice. [ABSTRACT FROM AUTHOR]

Gastrulation is a key milestone in the development of an organism. It is a period of cell proliferation and coordinated cellular rearrangement, that creates an outline of the body plan. Our current understanding of mammalian gastrulation has been improved by embryo culture, but there are still many open questions that are difficult to address because of the intrauterine development of the embryos and the low number of specimens. In the case of humans, there are additional difficulties associated with technical and ethical challenges. Over the last few years, pluripotent stem cell models are being developed that have the potential to become useful tools to understand the mammalian gastrulation. Here we review these models with a special emphasis on gastruloids and provide a survey of the methods to produce them robustly, their uses, relationship to embryos, and their prospects as well as their limitations. [ABSTRACT FROM AUTHOR]

Background: A corrective radius osteotomy is often performed in patients with a symptomatic distal radius malunion. In 3D-planned osteotomies, the unaffected radius is mirrored over the malunited radius after adjusting for left-right length differences using both ulnae. This approach assumes that ulnar length differences in a malunion population are similar to those in a healthy population. This study was conducted to analyze the difference in ulnar length in a distal radius malunion population and to assess the potential influence of age, sex, or malunion side on this difference. Methods: We evaluated 65 adult patients with distal radius malunion using bilateral forearm CT scans. 3D models of both ulnae were constructed, and length differences were determined along a standardized length axis. The results were compared to two populations without a radius malunion. Results: The average absolute ulnar length difference was 2.57 mm (SD 1.81), which was comparable to the two healthy populations. This difference was not significantly affected by age, sex, or malunion side. Conclusion: This study demonstrated that using the ulnar length difference to correct for radial length difference in the current 3D planning process, before using the contralateral radius as a template for a corrective osteotomy in patients with radius malunion, is safe. [ABSTRACT FROM AUTHOR]

Background: To date, the benefit of image guidance during robot-assisted surgery (IGS) is an object of debate. The current study aims to address the quality of the contemporary body of literature concerning IGS in robotic surgery throughout different surgical specialties. Methods: A systematic review of all English-language articles on IGS, from January 2013 to March 2023, was conducted using PubMed, Cochrane library's Central, EMBASE, MEDLINE, and Scopus databases. Comparative studies that tested performance of IGS vs control were included for the quantitative synthesis, which addressed outcomes analyzed in at least three studies: operative time, length of stay, blood loss, surgical margins, complications, number of nodal retrievals, metastatic nodes, ischemia time, and renal function loss. Bias-corrected ratio of means (ROM) and bias-corrected odds ratio (OR) compared continuous and dichotomous variables, respectively. Subgroup analyses according to guidance type (i.e., 3D virtual reality vs ultrasound vs near-infrared fluoresce) were performed. Results: Twenty-nine studies, based on 11 surgical procedures of three specialties (general surgery, gynecology, urology), were included in the quantitative synthesis. IGS was associated with 12% reduction in length of stay (ROM 0.88; p = 0.03) and 13% reduction in blood loss (ROM 0.87; p = 0.03) but did not affect operative time (ROM 1.00; p = 0.9), or complications (OR 0.93; p = 0.4). IGS was associated with an estimated 44% increase in mean number of removed nodes (ROM 1.44; p < 0.001), and a significantly higher rate of metastatic nodal disease (OR 1.82; p < 0.001), as well as a significantly lower rate of positive surgical margins (OR 0.62; p < 0.001). In nephron sparing surgery, IGS significantly decreased renal function loss (ROM 0.37; p = 0.002). Conclusions: Robot-assisted surgery benefits from image guidance, especially in terms of pathologic outcomes, namely higher detection of metastatic nodes and lower surgical margins. Moreover, IGS enhances renal function preservation and lowers surgical blood loss. [ABSTRACT FROM AUTHOR]

Purpose: The aim of this systematic review is to assess the clinical implications of employing various Extended Reality (XR) tools for image guidance in urological surgery. Methods: In June 2023, a systematic electronic literature search was conducted using the Medline database (via PubMed), Embase (via Ovid), Scopus, and Web of Science. The search strategy was designed based on the PICO (Patients, Intervention, Comparison, Outcome) criteria. Study protocol was registered on PROSPERO (registry number CRD42023449025). We incorporated retrospective and prospective comparative studies, along with single-arm studies, which provided information on the use of XR, Mixed Reality (MR), Augmented Reality (AR), and Virtual Reality (VR) in urological surgical procedures. Studies that were not written in English, non-original investigations, and those involving experimental research on animals or cadavers were excluded from our analysis. The quality assessment of comparative and cohort studies was conducted utilizing the Newcastle-Ottawa scale, whilst for randomized controlled trials (RCTs), the Jadad scale was adopted. The level of evidence for each study was determined based on the guidelines provided by the Oxford Centre for Evidence-Based Medicine. Results: The initial electronic search yielded 1,803 papers after removing duplicates. Among these, 58 publications underwent a comprehensive review, leading to the inclusion of 40 studies that met the specified criteria for analysis. 11, 20 and 9 studies tested XR on prostate cancer, kidney cancer and miscellaneous, including bladder cancer and lithiasis surgeries, respectively. Focusing on the different technologies 20, 15 and 5 explored the potential of VR, AR and MR. The majority of the included studies (i.e., 22) were prospective non-randomized, whilst 7 and 11 were RCT and retrospective studies respectively. The included studies that revealed how these new tools can be useful both in preoperative and intraoperative setting for a tailored surgical approach. Conclusions: AR, VR and MR techniques have emerged as highly effective new tools for image-guided surgery, especially for urologic oncology. Nevertheless, the complete clinical advantages of these innovations are still in the process of evaluation. [ABSTRACT FROM AUTHOR]

Abstract A healthy heart comprises various cell types, including cardiomyocytes, endothelial cells, fibroblasts, immune cells, and among others, which work together to maintain optimal cardiac function. These cells engage in complex communication networks, known as cell-cell interactions (CCIs), which are essential for homeostasis, cardiac structure, and efficient function. However, in the context of cardiac diseases, the heart undergoes damage, leading to alterations in the cellular composition. Such pathological conditions trigger significant changes in CCIs, causing cell rearrangement and the transition between cell types. Studying these interactions can provide valuable insights into cardiac biology and disease mechanisms, enabling the development of new therapeutic strategies. While the development of cardiac organoids and advanced 3D co-culture technologies has revolutionized in vitro studies of CCIs, recent advancements in single-cell and spatial multi-omics technologies provide researchers with powerful and convenient tools to investigate CCIs at unprecedented resolution. This article provides a concise overview of CCIs observed in both normal and injured heart, with an emphasis on the cutting-edge methods used to study these interactions. It highlights recent advancements such as 3D co-culture systems, single-cell and spatial omics technologies, that have enhanced the understanding of CCIs. Additionally, it summarizes the practical applications of CCI research in advancing cardiovascular therapies, offering potential solutions for treating heart disease by targeting intercellular communication.

In recent years, interest in the usage of computer-based methods in archaeology, especially regarding field documentation, has grown significantly. In 2021, Göttlich et al. presented a new large-scale three-dimensional (3D) capture method for the documentation of pottery using structure from motion. This method, however, was only tested on a very small sample set and never truly conducted in a large-scale documentation surrounding. Consequently, we decided to test this workflow on a large-scale basis during three field campaigns (March 2022, November 2022, and March 2023) in Lebanon, documenting more than 4,000 sherds in total. In this article, I will present the results and observations of these campaigns, critically discuss the workflow involved (documentation and processing), and propose a refined workflow for this methodology. This article focuses solely on the relevant documentation and 3D processing.

Abstract Background A corrective radius osteotomy is often performed in patients with a symptomatic distal radius malunion. In 3D-planned osteotomies, the unaffected radius is mirrored over the malunited radius after adjusting for left-right length differences using both ulnae. This approach assumes that ulnar length differences in a malunion population are similar to those in a healthy population. This study was conducted to analyze the difference in ulnar length in a distal radius malunion population and to assess the potential influence of age, sex, or malunion side on this difference. Methods We evaluated 65 adult patients with distal radius malunion using bilateral forearm CT scans. 3D models of both ulnae were constructed, and length differences were determined along a standardized length axis. The results were compared to two populations without a radius malunion. Results The average absolute ulnar length difference was 2.57 mm (SD 1.81), which was comparable to the two healthy populations. This difference was not significantly affected by age, sex, or malunion side. Conclusion This study demonstrated that using the ulnar length difference to correct for radial length difference in the current 3D planning process, before using the contralateral radius as a template for a corrective osteotomy in patients with radius malunion, is safe.

Assessing the condition of historical sites at risk requires an interdisciplinary approach based on combining multiple measurement technologies. Due to the dynamic development of technology, non-invasive remote sensing methods are gaining significant importance. Among these techniques is photogrammetry based on images taken from unmanned aerial vehicles (UAVs) and those taken with a smartphone. In the study, the authors specified the possibilities and limitations of using remote photogrammetric methods to build accurate digital models of the walls of historic buildings with cracks in them. Point clouds, TIN grids, and façade orthophotos were examined. Statistical analysis was used to determine the repeatability of the data. Two parameters were identified that affect the accuracy of the data: the first – the direction of the segment between two points in the façade plane, and the second – the distance of the segment between two points in the plane of the façade. The study showed that the average accuracy of crack width measurements on the data acquired with the DJI Mavic 3 Enterprise RTK is 1 mm. Testing of crack width measurements using a Samsung Galaxy S20 FE smartphone showed an average absolute error of 0.24 mm. Based on the results, it was concluded that the imagesacquired using mobile devices can be used to determine changes in crack widths on walls.

Three-dimensional (3D)-printed models with high anatomic fidelity are an increasingly viable tool in simulation-based medical education. One advantage of 3D models is they provide enhanced tactile and spatial understanding of complex anatomy to develop technical skills used in minimally invasive procedures. We propose that 3D anatomical models can improve the development of interventional radiology vascular access skills—first described in the 1950s as the Seldinger technique—for pre-clerkship medical students. The early adoption of 3D-printed technology in pre-clinical medical education can lead to improved student engagement and satisfaction when learning procedural techniques. This study involved creating a 3D model of the upper limb vasculature from an anonymized Computed tomography (CT) angiogram, using it as a medical education tool for 31 pre-clinical medical students practicing the Seldinger Technique on a prefabricated venipuncture upper limb, and assessing student satisfaction with this form of learning. Overall, attendees responded positively to the incorporation of the 3D model in medical education to improve their anatomic understanding and application of the Seldinger technique. These results indicate that the use of 3D models in simulation-based medical education can provide benefits in acquiring technical skills and the potential to decrease training costs without harming a patient.

Resumen: Introducción: Los defectos óseos son una de las principales limitaciones en cirugía ortopédica y traumatología. Por ello, se han desarrollado múltiples sistemas de sustitución ósea, ya sea mediante implante protésico o mediante sustitución con sustancias osteoformadoras, cuyas limitaciones son su supervivencia y falta de estructuralidad, respectivamente. El objetivo del presente trabajo es la generación de un nuevo material para la creación de estructuras biológicamente activas que dispongan de la resistencia a la tracción suficiente como para mantener la estructura durante la remodelación. Material y métodos: Se diseñó un nuevo filamento basado en la fusión de ácido poliláctico (PLA) natural en polvo para la generación de piezas mediante el modelado por deposición fundida (FDM) sobre las que se realizaron ensayos mecánicos a tracción de material de osteosíntesis. Se analizaron un total de 13 grupos con distinto grosor cortical, relleno y altura de capa, con 10 ensayos de tracción en cada grupo, definiendo el límite de rotura a la tracción para cada grupo. Se determinaron las rectas de regresión para cada grupo y su resistencia mecánica a la tracción sobre el filamento empleado. Resultados: El ratio de filamento por unidad de superficie de contacto con la osteosíntesis empleada fue el principal determinante de la resistencia mecánica a la tracción, ya sea a expensas del aumento del grosor cortical o por el aumento en el porcentaje de relleno del hueso esponjoso. La altura de capa tuvo un efecto menor sobre la resistencia a la tracción. El valor de regresión fue alto para el grosor cortical y el relleno de esponjosa, siendo elementos con un comportamiento biomecánico predecible. Conclusiones: La nueva metodología permite crear matrices óseas personalizadas de PLA neutro implantable para la reconstrucción de grandes defectos óseos mediante impresión 3D por FDM con una resistencia mecánica a la tracción mayor a la de estructuras biológicas de soporte actuales. Abstract: Introduction: Bone defects are one of the main limitations in orthopedic surgery and traumatology. For this reason, multiple bone replacement systems have been developed, either by prosthetic implant or by substitution with osteoforming substances, whose limitations are their survival and lack of structurality, respectively. The objective of this work is the generation of a new material for the creation of biologically active structures that have sufficient tensile strength to maintain the structure during remodeling. Material and methods: A new filament based on the fusion of natural polylactide acid (PLA) powder was designed for the generation of pieces by means of fused deposition modeling (FDM) on which to carry out tensile mechanical tests of osteosynthesis material. A total of 13 groups with different cortical thickness, filling and layer height were carried out, with 10 tensile tests in each group, defining the tensile breaking limit for each group. The regression lines for each group and their mechanical resistance to traction on the filament used were determined. Results: The filament ratio per contact surface unit with the osteosynthesis used was the main determinant of the mechanical resistance to traction, either at the expense of the increase in cortical thickness or by the increase in the percentage of cancellous bone filling. Layer height had a minor effect on tensile strength. The regression value was high for cortical thickness and cancellous filling, being elements with a predictable biomechanical behavior. Conclusions: The new methodology allows the creation of personalized neutral and implantable PLA bone matrices for the reconstruction of large bone defects by means of 3D printing by FDM with a mechanical resistance to traction greater than that of current biological support structures.

To better address mechanical behavior, it is necessary to make use of modern tools through which it is possible to run predictions, simulate scenarios, and optimize decisions. sources integration. This will increase the capability of detecting material modifications that forerun damage and/or to forecast the stage in the future when very likely fatigue is initiating and propagating cracks. Early warning outcomes obtained by the synergetic implementation of NDE-based protocols for studying mechanical and fatigue and fracture behavior will enhance the preparedness toward economically sustainable future damage control scenarios. Specifically, these early warning outcomes will be developed in the form of retopologized models to be used coupled with FEA. This paper presents the first stage of calibration and the combination of a system of different sensors (photogrammetry, laser scanning and strain gages) for the creation of volumetric models suitable for the prediction of failure of FEA software. The test objects were two components of car suspension to which strain gauges were attached to measure its deformation under cyclic loading. The calibration of the methodology was carried out using models obtained from photogrammetry and experimental strain gauge measurements. [ABSTRACT FROM AUTHOR]

This study aims to describe the 3D model's online modules effectiveness in the practicing mastery of conceptual knowledge in solar system learning using an instrument which tested 58 7th-grade respondents from one of the junior high schools in Jombang, East Java, Indonesia. The respondents were then divided without randomization into 29 respondents for the experimental group (EG), which studied using 3D models online, and 29 respondents for the control group (CG), which studied using learning resources from student books and learning media in the form of 3D models from the NASA website. The effectiveness is assessed based on the results of the conceptual knowledge test instrument with the CRI method using a quantitative descriptive approach. Based on these results, the 3D models online module in solar system learning cannot be fully effective in the practicing mastery of conceptual knowledge. When examined further, 3D model's online modules are effective in cognitive dimensions C3, learning indicators 1, 2, and 6, and conceptual knowledge sub-types 1. Furthermore, based on research results, learning the solar system using online modules with 3D models is better than using the official NASA website with student books. [ABSTRACT FROM AUTHOR]

This paper examines the integration of interactive 3D applications into the teaching process in mechanical engineering education. An innovative interactive 3D application has been developed as a teaching aid for engineering students. The main advantage is its easy availability through a web browser on mobile devices or desktop computers. It includes four explorable 3D gearbox models with assembly animations, linked technical information, and immersive virtual and augmented reality (AR) experiences. The benefits of using this application in the teaching process were monitored on a group of students at the end of the semester. Assessments conducted before and after the use of the interactive 3D application measured learning outcomes. Qualitative feedback from students was also collected. The results demonstrated significant improvements in engagement, spatial awareness, and understanding of gearbox principles compared to traditional methods. The versatility and accessibility of the application also facilitated self-directed learning, reducing the need for external resources. These findings indicate that interactive 3D tools have the potential to enhance student learning and engagement and to promote sustainable practices in engineering education. Future research could explore the scalability and applicability of these tools across different engineering disciplines and educational contexts. [ABSTRACT FROM AUTHOR]

Several factors contribute to the anatomical complexity of the trochlear nerve, including small diameter, complex and longest intracranial course, deep location, and numerous neurovascular relationships. A 3-dimensional (3D) photorealistic model of the cranial nerves provides a detailed and immersive representation of the anatomy, enabling one to improve surgical planning, advanced surgical research, and training. The purpose of this work is to present a 3D photogrammetric study for a more intuitive and interactive way to explore and describe the entire course of trochlear nerve. Two injected-fixed head human specimens (4 sides) were examined. The dissection protocol was divided into the following steps: 1) brain hemisphere exposure; 2) hemispherectomy dissecting all cranial nerves and partial removal of the free edge of the tentorium; 3) middle fossa and lateral wall of cavernous sinus exposure; and 4) orbital exposure. A detailed 3D photogrammetric model was generated for each dissection step. Four main volumetric models were generated during a step-by-step layered dissection of the entire nerve pathway highlighting its different segments. Finally, a full and integrated model of the entire course of the nerve was created. The models are available for visualization on monoscopic display, virtual, and augmented reality environment. The present photogrammetric model provides a more comprehensive understanding of the nerve's anatomy in its different segments, allows for customizable views thus simulating different perspectives, and can be a valuable alternative to traditional dissections. It is an advanced tool for surgical planning and surgical simulation as well as virtual reality representation of the anatomy. [ABSTRACT FROM AUTHOR]

Modern technology was applied to the data recorded during the excavation of Santo António de Tanná in the 1970s. The original recording techniques and the subsequent attempts, in the 1980s, to extract further information from the data are described. With the advent of modern and extremely powerful desktop computers this information has now been reprocessed, enabling three-dimensional (3D) coordinates of control points on the site to be determined and a 3D rendered model of the site created. Using this model of the internal hull of the ship, measurements can be made to determine the shape and form of the ship. This paper examines the original methodologies used and compares the modern measurements with the manual measurements taken over 50 years earlier. An investigation to determine the accuracy of the two systems is described together with an analysis of the techniques involved. [ABSTRACT FROM AUTHOR]

Cell traction force plays a critical role in directing cellular functions, such as proliferation, migration, and differentiation. Current understanding of cell traction force is largely derived from 2D measurements where cells are plated on 2D substrates. However, 2D measurements do not recapitulate a vital aspect of living systems; that is, cells actively remodel their surrounding extracellular matrix (ECM), and the remodeled ECM, in return, can have a profound impact on cell phenotype and traction force generation. This reciprocal adaptivity of living systems is encoded in the material properties of biological gels. In this review, we summarize recent progress in measuring cell traction force for cells embedded within 3D biological gels, with an emphasis on cell–ECM cross talk. We also provide perspectives on tools and techniques that could be adapted to measure cell traction force in complex biochemical and biophysical environments. [ABSTRACT FROM AUTHOR]

Measuring nasal obstruction should be mandatory before every nasal surgery to determine the necessary surgical steps and to separate mucosal congestion from skeletal deformity. Rhinomanometry is considered the "golden standard" for measuring nasal airway resistance. An extension of the diagnostic power was achieved by the introduction of the four-phase rhinomanometry (4PR), which provides additional information about the influence of the elasticity of the nasal wall. Also, a high correlation to the subjective sensing of obstruction could be achieved by the introduction of logarithmic parameters. The parameters of 4PR could be classified by evaluating 36,500 measurements. The International Standardization Committee on the Objective Assessment of the Upper Airway (ISCOANA) determined it as the new standard. Adding a visual analog scale (VAS) to every measurement is a documentation of the feeling of obstruction at the moment of measurement. Practical hints for 4PR are given. The determination of obstruction for both nasal sides or the calculation of the total nasal resistance should be followed by a second analysis of the detailed obstruction anatomy. In the future, pressure losses or temperature gradients can be determined by computational fluid dynamics (CFD). A reliable way to simulate the success of single surgical steps with a high didactical meaning is the three-dimensional (3D) print of sliced nose models and to measure the effect of stepwise mechanical corrections. [ABSTRACT FROM AUTHOR]

A key challenge in cancer research is the meticulous development of models that faithfully emulates the intricacies of the patient scenario, with emphasis on preserving intra-tumoral heterogeneity and the dynamic milieu of the tumor microenvironment (TME). Organoids emerge as promising tool in new drug development, drug screening and precision medicine. Despite advances in the diagnoses and treatment of pediatric cancers, certain tumor subtypes persist in yielding unfavorable prognoses. Moreover, the prognosis for a significant portion of children experiencing disease relapse is dismal. To improve pediatric outcome many groups are focusing on the development of precision medicine approach. In this review, we summarize the current knowledge about using organoid system as model in preclinical and clinical solid-pediatric cancer. Since organoids retain the pivotal characteristics of primary parent tumors, they exert great potential in discovering novel tumor biomarkers, exploring drug-resistance mechanism and predicting tumor responses to chemotherapy, targeted therapy and immunotherapies. We also examine both the potential opportunities and existing challenges inherent organoids, hoping to point out the direction for future organoid development. [ABSTRACT FROM AUTHOR]

Abstract:3D models are becoming increasingly important as design documents. The ability to create them becomes a necessary skill for the future specialist. In this context, we proposed to develop a methodology for learning the basics of 3D modelling without substantially changing the Engineering Graphics Curriculum. [ABSTRACT FROM AUTHOR]

Purpose of Review: To provide an overview of the impact of virtual and augmented reality in contemporary cardiovascular medical practice. Recent Findings: The utilization of virtual and augmented reality has emerged as an innovative technique in various cardiovascular subspecialties, including interventional adult, pediatric, and adult congenital as well as structural heart disease and heart failure. In particular, electrophysiology has proven valuable for both diagnostic and therapeutic procedures. The incorporation of 3D reconstruction modeling has significantly enhanced our understanding of patient anatomy and morphology, thereby improving diagnostic accuracy and patient outcomes. Summary: The interactive modeling of cardiac structure and function within the virtual realm plays a pivotal role in comprehending complex congenital, structural, and coronary pathology. This, in turn, contributes to safer interventions and surgical procedures. Noteworthy applications include septal defect device closure, transcatheter valvular interventions, and left atrial occlusion device implantation. The implementation of virtual reality has been shown to yield cost savings in healthcare, reduce procedure time, minimize radiation exposure, lower intravenous contrast usage, and decrease the extent of anesthesia required. These benefits collectively result in a more efficient and effective approach to patient care. [ABSTRACT FROM AUTHOR]

Place naming of a local area is closely related to geographic elements. Local names can also be used as a cultural identity and natural condition of a region. Nglanggeran Ancient Volcano (AV) area has local name elements highly influenced by those conditions. It is an interesting study material where a three-dimensional (3D) model can contribute as a medium to collect the place naming traces (toponym) in this area through participatory mapping. Participatory mapping, usually using 2D models in the form of sketches or maps, will be a separate story in interactive 3D media usage resulting from the photogrammetry process. It is expected that the media be able to show the geographical appearance of the Nglanggeran A. V area more clearly, such as geomorphology, geology, vegetation, hydrology; and even local culture, and contribute unexplored information* The results of participatory mapping in toponym collection are expected to be a medium that organizes the place naming of a local area into a complete database, along with the origin of the place names. It is also proposed that the results of participatory mapping through the 3D model be a means of preserving local culture in the Nglanggeran A.V area, making it more familiar to local residents and tourists. [ABSTRACT FROM AUTHOR]

Introduction: Knowledge of the hunting strategies of top predators can provide insights into the cost-benefit trade-offs of their foraging activities. Air-breathing marine predators are constrained in their foraging activities due to their metabolic expenditure at depth being supported by limited body oxygen stores. Understanding how these species adapt their behaviours to maximise foraging success is of importance in view of the anticipated alterations to marine ecosystems in response to global change. The Australian fur seal (Arctocephalus pusillus doriferus), the largest fur seal species, has a distribution restricted to south-eastern Australia, which is one of the fastest warming oceanic regions and where the abundance, distribution and diversity of prey species is expected to change in coming decades. Methods: In the present study, combined IMU (acceleration, magnetometer, gyroscope), depth and GPS data logger information was used to reconstruct 3-dimensional tracks during diving, assess energy expenditure and quantify prey capture events in adult female Australian fur seals during benthic foraging. Results: The results revealed that individuals ascended at steeper pitches (to reduce transit time), remained for shorter durations and travelled shorter distances at the surface, and then descended at steeper pitches on subsequent dives after predatory events on the seafloor. Higher travel speeds and more directional changes during searching for prey along the seafloor, while requiring greater energy expenditure, were associated with more prey captures. Interestingly, individuals did not display conventional Area Restricted Search, with the heading between dives not influenced by prey encounters. Discussion: Together, these results suggest Australian fur seals undertake rapid searching along the seafloor to surprise cryptic prey and, if prey is encountered, undertake rapid surfacing (to reload body oxygen stores) and return to nearby seafloor habitat with a similar but undisturbed prey field. [ABSTRACT FROM AUTHOR]

This study delves into computational fluid dynamics (CFDs) predictions for SiO2–water nanofluids, meticulously examining both single-phase and two-phase models. Employing the finite volume approach, we tackled the three-dimensional partial differential equations governing the turbulent mixed convection flow in a horizontally corrugated channel with uniform heat flux. The study encompasses two nanoparticle volume concentrations and five Reynolds numbers (10,000, 15,000, 20,000, 25,000, and 30,000) to unravel these intricate dynamics. Despite previous research on the mixed convection of nanofluids using both single-phase and two-phase models, our work stands out as the inaugural systematic comparison of their predictions for turbulent mixed convection flow through this corrugated channel, considering the influences of temperature-dependent properties and hydrodynamic characteristics. The results reveal distinct variations in thermal fields between the two-phase and single-phase models, with negligible differences in hydrodynamic fields. Notably, the forecasts generated by three two-phase models—Volume of Fluid (VOF), Eulerian Mixture Model (EMM), and Eulerian Eulerian Model (EEM)—demonstrate remarkable similarity in the average Nusselt number, which are 24% higher than the single-phase model (SPM). For low nanoparticle volume fractions, the average Nusselt number predicted by the two-phase models closely aligns with that of the single-phase model. However, as the volume fraction increases, differences emerge, especially at higher Reynolds numbers. In other words, as the volume fraction of the nanoparticles increases, the nanofluid flow becomes a multi-phase problem, as depicted by the findings of this study. [ABSTRACT FROM AUTHOR]

Faces Revealed Project established a new methodology for studying the geometry of the human forms and facial features realized on anthropoid yellow coffins of Ancient Egypt. Since 1980, yellow coffins have been the subject of various studies mainly focused on iconography and palaeography. However, these anthropoid coffins are three-dimensional objects with well-rendered masks and detailed facial features as well as forearms, hands and bellies. This lack of analysis in the study of coffins may be due to the fact that they are “concealed” by rich and multi-coloured decoration, so they are not easily visible in all their forms to the naked eye. Today new technologies allow us to go more in-depth and digitally switch off the decoration and observe these “invisible” features. As this is an entirely new process, the primary task of the Faces Revealed Project was to establish a new methodology from the photogrammetric survey to the data collection. The present article discusses in detail the stages of the Project applied to around 100 Egyptian yellow coffins stored in Museums in Europe, the United States and Egypt and the information that they can disclose. The task is to share with the scientific community the established protocol and offering the possibility to “work independently” applying the same methodology to the same objects as well as to other classes of material.

The prognosis for Cholangiocarcinoma (CCA) is unfavorable, necessitating the development of new therapeutic approach such as magnetic hyperthermia therapy (MHT) which is induced by magnetic nano-particle (MNPs) drug to bridge the treatment gap. Given the deep location of CCA within the abdominal cavity and proximity to vital organs, accurately predict the individualized treatment effects and safety brought by the distribution of MNPs in tumor will be crucial for the advancement of MHT in CCA. The Mimics software was used in this study to conduct three-dimensional reconstruction of abdominal computed tomography (CT) and magnetic reso-nance imaging images from clinical patients, resulting in the generation of a realistic digital geometric model representing the human biliary tract and its adjacent structures. Subsequently, The COMSOL Multiphysics software was utilized for modeling CCA and calculating the heat transfer law resulting from the multi-regional distribution of MNPs in CCA. The temperature within the central region of irregular CCA measured approximately 46°C, and most areas within the tumor displayed temperatures surpassing 41°C. The temperature of the inner edge of CCA is only 39 ∼ 41℃, however, it can be ameliorated by adjusting the local drug concentration through simulation system. For CCA with diverse morphologies and anatomical locations, the multi-regional distribution patterns of intratumoral MNPs and a slight overlap of drug distribution areas synergistically enhance intratumoral temperature while ensuring treatment safety. The present study highlights the practicality and imperative of incorporating personalized intratumoral MNPs distribution strategy into clinical practice for MHT, which can be achieved through the development of an integrated simulation system which incorporates medical image data and numerical calculations.

IntroductionThree-dimensional printed models are widely used in the medical field for surgical and interventional planning. In the context of complex cardiovascular defects such as pediatric congenital heart diseases (CHDs), the adoption of 3D printed models could be an effective tool to improve decision-making. In this paper, an investigation was conducted into the characteristics of 3D printed models and their added value in understanding and managing complex pediatric congenital heart disease, also considering the associated cost.MethodsVolumetric MRI and CT images of subjects with complex CHDs were retrospectively segmented, and the associated 3D models were reconstructed. Different 3D printing technologies and materials were evaluated to obtain the 3D printed models of cardiac structures. An evaluation of time and costs associated with the 3D printing procedure was also provided. A two-level 3D printed model assessment was carried out to investigate the most suitable 3D printing technology for the management of complex CHDs and the effectiveness of 3D printed models in the pre-surgical planning and surgical strategies’ simulations.ResultsAmong the different techniques, selective laser sintering resulted to be the most suitable due to its reduced time and cost and for the positive clinical feedback (procedure simulation, surface finish, and reproduction of details).ConclusionThe adoption of 3D printed models contributes as an effective tool in the management of complex CHDs, enabling planning and simulations of surgical procedures in a safer way.