Search Results (514)

This study investigates how short- and long-term aging affect the microwave self-healing of steel slag asphalt mixtures (SSAMs). Binder-level healing was tested using a dynamic shear rheometer (DSR), and mixture-level crack behavior was analyzed using beam bending tests (BBTs) and digital image correlation (DIC). Aging clearly reduced self-healing, with long-term aging causing the largest decline. Among the mixtures, OGFC-13 was most sensitive, while SMA-13 was least affected. Aging increased stiffness, reduced crack resistance, and shortened crack initiation time, leading to lower healing efficiency under microwave treatment. After heating, cracks propagated faster, indicating increased brittleness. These results quantify the impact of aging on performance and highlight the limitations of microwave repair, providing guidance for maintenance strategies and mixture design to improve long-term pavement performance. Full article

A straightforward ex vivo approach has been developed and refined to enable high-resolution imaging and quantitative assessment of motile cilia function in mouse airway epithelial tissue, allowing critical insights into cilia motility and cilia generated flow using different mouse models or following different sample treatments. In this method, freshly excised mouse trachea is cut longitudinally through the trachealis muscle which is then sandwiched between glass coverslips within a thin silicon gasket. By orienting the tissue along its longitudinal axis, the natural curling of the trachealis muscle helps maintain the sample in a configuration optimal for imaging along the full tracheal length. High-speed video microscopy, utilizing differential interference contrast (DIC) optics and a fast digital camera capturing at >200 frames per second is then used to record ciliary motion. This enables detailed measurement of both cilia beat frequency (CBF) and waveform characteristics. The application of 1 µm microspheres to the bathing media during imaging allows for additional analysis of fluid flow generated by ciliary activity. The entire procedure typically takes around 40 min to complete per animal: ~30 min for tissue harvest and sample mounting, then ~10 min for imaging samples and acquiring data. Full article

Background: Hand tumors encompass a heterogeneous spectrum of benign, malignant, and tumor-like lesions with diverse clinical behavior. While international studies have reported epidemiological and clinicopathological features, large-scale data in Italian populations are scarce. This retrospective analysis represents one of the largest Italian surgical series of histologically confirmed hand tumors. The objective was to evaluate clinicopathological characteristics, anatomical distribution, and surgical outcomes of these lesions over a 5-year period. Methods: A total of 250 patients who underwent surgery for hand tumors at the Department of Plastic and Reconstructive Surgery, University Hospital “G. Martino,” Messina, Italy, from January 2020 to December 2024, were retrospectively reviewed. Data from clinical records, imaging, and histopathology were categorized as tumor-like lesions, benign neoplasms, or malignant tumors. Demographic and clinical variables were compared across diagnostic groups. Results: The cohort included 127 males and 123 females (mean age 49.3 ± 18.6 years). Lesions were most frequently located in the digits (62%), followed by palm (21%), dorsum (11%), and wrist (6%). Tumor-like lesions represented 37.6% of cases, predominantly mucous cysts and foreign body granulomas. Benign tumors accounted for 49.2%, with giant cell tumors of the tendon sheath as the most common (31.7%). Malignant tumors were rare (10.4%), mainly squamous cell carcinoma, basal cell carcinoma, and melanoma. Patients with malignant lesions were significantly older (67.4 years) compared with those with benign or tumor-like lesions (p < 0.01). Conclusions: Benign and tumor-like lesions predominate among hand tumors, whereas malignancies are infrequent but clinically important. Surgical excision remains the treatment of choice, guided by preoperative imaging and confirmed histopathologically. Expanding this cohort and integrating molecular diagnostics with patient-reported outcomes may enhance future management strategies. Full article

Cold Spray Additive Manufacturing (CSAM) is a solid-state process that is being increasingly used for structural repairs in aerospace and energy sectors. It enables the deposition of dense material at low temperatures by accelerating metal particles to supersonic velocities, thereby reducing thermal distortion. However, the structural integrity of CSAM repairs—particularly at the interface between the deposited layer and the substrate—remains a critical concern. Various post-treatments and characterization methods have been explored to optimize performance. While X-ray Computed Tomography (XCT) is effective for sub-surface inspection, it cannot be applied in situ during mechanical testing. Digital Image Correlation (DIC), a surface-based method, also lacks sub-surface sensitivity. To address this, Infrared Thermography (IRT) was employed alongside DIC during the tensile and fatigue testing of aluminum CSAM-repaired specimens. A cooled IRT camera operating at 200 FPS captured thermal data, with lock-in processing subsequently applied in post-processing. IRT successfully detected early interfacial damage and enabled the tracking of crack propagation, which was later confirmed through fracture surface analysis. This extended abstract presents findings from fatigue tests using IRT. Full article

C. canephora exhibits high genetic variability, and to estimate this variability, morphological descriptors associated with coffee quality are used. Bean size is a physical trait of great importance for coffee classification. Manual classification is known to be inaccurate and time-consuming, which is why researchers have adopted digital imaging techniques to improve classification efficiency. The objective of this study was to quantify the genetic diversity in 43 C. canephora clones using the Ward-MLM strategy and to estimate genetic parameters and correlations from digital phenotyping of beans and cherries. The experiment was conducted on a crop consisting of 43 C. canephora genotypes, where the cherries were manually pulped and dried until they reached 12% moisture content. Using GroundEye^® equipment, four replicates of 50 beans and cherries were evaluated for each treatment, and the software generated spreadsheets with the results of the geometric traits. To determine the existence of genetic variability among the genotypes, the data obtained were subjected to analysis of variance, estimation of genetic parameters, Ward-MLM analysis, and Pearson correlation. The genotypic variance was higher than the environmental variance for all variables analyzed, both for beans and cherries, indicating that the genotypes evaluated have high genetic variability. The greatest genetic distance was observed between groups I and IV, suggesting favorable conditions for crosses between the genotypes of these groups. Phenotypic correlation analysis revealed significant positive and negative correlations between the variables. Digital seed analysis successfully detected genetic divergence among the 43 C. canephora clones. The variables ‘area’, ‘maximum diameter’, and ‘minimum diameter’ are the most suitable for selecting genotypes with larger beans. Full article

Burn wounds are complex injuries that require timely and accurate assessment to guide treatment decisions and improve healing outcomes. Traditional clinical evaluations are largely subjective, often leading to delays in intervention and increased risk of complications. Imaging technologies have emerged as valuable tools that enhance diagnostic accuracy and enable objective, real-time assessment of wound characteristics. This review aims to evaluate the range of imaging modalities currently applied in burn wound care and assess their clinical relevance, diagnostic accuracy, and cost-effectiveness. It explores how these technologies address key challenges in wound evaluation, particularly related to burn depth, perfusion status, bacterial burden, and healing potential. A comprehensive narrative review was conducted, drawing on peer-reviewed journal articles, NICE innovation briefings, and clinical trial data. The databases searched included PubMed, Ovid MEDLINE, and the Cochrane Library. Imaging modalities examined include Laser Doppler Imaging (LDI), Fluorescence Imaging (FI), Near-Infrared Spectroscopy (NIR), Hyperspectral Imaging, Spatial Frequency Domain Imaging (SFDI), and digital wound measurement systems. The clinical application and integration of these modalities in UK clinical practice were also explored. Each modality demonstrated unique clinical benefits. LDI was effective in assessing burn depth and perfusion, improving surgical planning, and reducing unnecessary procedures. FI, particularly the MolecuLight i:X device (MolecuLight Inc., Toronto, ON, Canada), accurately identified bacterial burden and guided targeted interventions. NIR and Hyperspectral Imaging provided insights into tissue oxygenation and viability, while SFDI enabled early detection of infection and vascular compromise. Digital measurement tools offered accurate, non-contact assessment and supported telemedicine use. NICE recognized both LDI and MolecuLight as valuable tools with the potential to improve outcomes and reduce healthcare costs. Imaging technologies significantly improve the precision and efficiency of burn wound care. Their ability to offer objective, non-invasive diagnostics enhances clinical decision-making. Future research should focus on broader validation and integration into clinical guidelines to ensure widespread adoption. Full article

Estrogens are hormones that play an important role in the skin, including in men. Letrozole (LET) is an inhibitor of the enzyme that converts androgens to estrogens. The use of letrozole can cause morphological changes and changes in the immunoexpression of proteins associated with oxidative stress and apoptosis. Vitamin C is a factor that modulates cellular stress. The purpose of this study was to examine whether letrozole and/or vitamin C supplementation can affect the morphology of the skin, parameters of the programmed cell death marker, and oxidative damage. Three-month-old rats were divided into four groups and treated with: (I) CTRL—water; (II) VIT C—L-ascorbic acid; (III) LET—letrozole; and (IV) LET+C—letrozole + L-ascorbic acid. The morphometrical measurements included epithelial thickness, width of collagen fibers, and elastic fibers. The expression levels of caspase-3 and catalase were determined. Significant differences in the morphometrical measurements and immunoexpression were observed. The findings indicate that chronic treatment with letrozole can affect morphology and induce oxidative stress and programmed cell death in the epidermal cells of adult male rats. Vitamin C supplementation exerts an effect on some parameters of the molecular processes. Full article

Acute pulmonary embolism (APE) represents a significant cause of morbidity and mortality worldwide, requiring rapid and precise diagnosis and effective therapy strategies. Computed Tomography Pulmonary Angiography (CTPA) is currently the gold standard technique for diagnosing PE; however, it presents some disadvantages, including limited sensitivity in detecting sub-segmental emboli and contrast-related risks. Recent advancements in imaging technologies, including Dual-Energy Computed Tomography (DECT) and Photon Counting (PC), offer improved sensitivity and specificity for APE and perfusion abnormalities detection. Digital Dynamic Radiography (DDR) perfusion imaging represents a novel imaging that allows pulmonary perfusion assessment without contrast medium administration, able to detect anomalies at the patient’s bedside, representing a promising advancement, particularly for critically ill or contrast-allergic patients. In parallel, interventional radiology has become integral to APE management, particularly for high-risk and intermediate–high-risk patients, with evolving intravascular treatment techniques such as catheter-directed thrombolysis, mechanical thrombectomy, and thrombus aspiration. This narrative review provides an overview of the latest developments in APE diagnostic imaging and interventional radiology, contextualizing them within current guideline recommendations for endovascular treatment. Full article

Digital dentistry is undergoing rapid evolution, with three-dimensional imaging technologies increasingly integrated into routine clinical workflows. Originally developed for accurate dental arch reconstruction, modern intraoral scanners have demonstrated expanding versatility in capturing intraoral mucosal as well as perioral cutaneous structures. Concurrently, photogrammetry has emerged as a powerful method for full-face digital reconstruction, particularly valuable in orthodontic and prosthodontic treatment planning. These advances offer promising applications in forensic sciences, where high-resolution, three-dimensional documentation of anatomical details such as palatal rugae, lip prints, and bite marks can provide objective and enduring records for legal and investigative purposes. This study explores the forensic potential of two digital acquisition techniques by presenting two cadaveric cases of animal bite injuries. In the first case, an intraoral scanner (Dexis 3600) was used in an unconventional extraoral application to directly scan skin lesions. In the second case, photogrammetry was employed using a digital single-lens reflex (DSLR) camera and Agisoft Metashape, with standardized lighting and metric scale references to generate accurate 3D models. Both methods produced analyzable digital reconstructions suitable for forensic archiving. The intraoral scanner yielded dimensionally accurate models, with strong agreement with manual measurements, though limited by difficulties in capturing complex surface morphology. Photogrammetry, meanwhile, allowed for broader contextual reconstruction with high texture fidelity, albeit requiring more extensive processing and scale calibration. A notable advantage common to both techniques is the avoidance of physical contact and impression materials, which can compress and distort soft tissues, an especially relevant concern when documenting transient evidence like bite marks. These results suggest that both technologies, despite their different origins and operational workflows, can contribute meaningfully to forensic documentation of bite-related injuries. While constrained by the exploratory nature and small sample size of this study, the findings support the viability of digitized, non-destructive evidence preservation. Future perspectives may include the integration of artificial intelligence to assist with morphological matching and the establishment of digital forensic databases for pattern comparison and expert review. Full article

Implant treatment in the aesthetic regions of the jaw often requires hard and soft tissue augmentation to ensure optimal prosthetic outcomes. Radiological evaluation with cone-beam computed tomography (CBCT) and visual inspection of intraoral photographs are effective for assessing hard tissues but are limited in evaluating soft tissues. This study aimed to objectively evaluate volumetric and dimensional changes of the alveolar ridge, including both hard and soft tissues, following simultaneous horizontal bone augmentation and implant placement using intraoral digital scanning. Intraoral digital scans were obtained at baseline (T0) and at 2 (T1), 6 (T2), and 12 weeks (T3) post-surgery. Scans were superimposed using dedicated imaging software to measure volumetric and cross-sectional changes. Volumetric gain was significant at T1 but decreased significantly from T1 to T2 (p = 0.0006) and from T1 to T3 (p = 0.0002). Cross-sectional analysis showed significant increases in ridge width at T1 at all measured levels, accompanied by a significant vertical decrease at the alveolar crest from T1 to T2 (p = 0.0056) and T3 (p = 0.0106).These findings indicate that horizontal augmentation provides initial volumetric gain but is followed by substantial reduction at the crest, suggesting that rigid fixation may enhance stability; however, controlled clinical trials are required. Full article

Objectives: This study aimed to compare the skeletal and dentoalveolar effects of a fully customized elastodontic appliance with those of the traditional Twin Block appliance in growing patients with Class II malocclusion during the mixed dentition phase. Methods: A total of 35 patients were included: 18 treated with a customized elastodontic appliance (C-Ela group) and 17 with a Twin Block appliance (TB group). Digital dental models and lateral cephalometric radiographs were obtained at baseline (T1) and after 12 months of treatment (T2). All patients were treated by experienced clinicians according to standardized appliance protocols. Data analysis was performed by a blinded operator using Ortho Analyzer and Dolphin Imaging software. The Shapiro–Wilk test was applied to verify the normal distribution of the data. Paired-sample t-tests were used to assess within-group changes between T1 and T2. For intergroup comparisons two-tail independent-sample t-tests were used, and chi-square tests were used for categorical variables. Statistical significance was set at p < 0.05. Results: Both groups showed significant intragroup improvements in overjet (C-Ela: −2.77 ± 2.07; TB: −2.30 ± 2.72 mm), overbite (C-Ela: −1.79 ± 1.95; TB: −1.40 ± 2.65 mm), and sagittal molar relationship (p < 0.05) after treatment. The C-Ela group exhibited a significantly greater reduction in anterior dental crowding (p < 0.05) and better control of upper (C-Ela: −4.93 ± 7.65°; TB: −1.80 ± 5.72°) and lower incisor inclination (C-Ela: +1.70 ± 4.80°; TB: +4.35 ± 6.22°). In intergroup comparisons, the TB group showed a significantly greater proclination of the lower incisors at T2 (L1/Go-Gn: +4.35°; L1/A-Pog: +1.44 mm), whereas the C-Ela more effectively limited these changes (L1/Go-Gn: +1.70°; L1/A-Pog: +1.18 mm). Skeletal analysis revealed an increase in ANB angle in both groups (C-Ela: −1.49 ± 2.62°; TB: −1.78 ± 2.78°), with no statistically significant intergroup differences, and no other skeletal parameters showed significant between-group changes. Conclusions: Both appliances effectively corrected Class II malocclusions. However, the customized elastodontic device provided better dentoalveolar control, particularly in managing anterior crowding and incisor inclination. Its individualized fit may enhance biomechanical precision and improve overall treatment outcomes in growing patients. Full article

Background/Objectives: Identification of driver gene alterations helps determine first-line treatment for non-squamous non-small cell lung cancer (NSCLC). Precise assessment of tumor cell proportion is critical for accurate detection of gene alterations. ASTRAL was a multicenter, prospective, observational study to investigate the agreement in tumor cell proportion assessments between different raters. Methods: Tissues collected in daily clinical practice from patients with advanced NSCLC were used. Raters included local pathologists, a Central Pathology Committee (CPC), and an artificial intelligence (AI) algorithm. Hematoxylin and eosin-stained slides were assessed by local pathologists, and digitized images of those slides were assessed by the CPC and the AI algorithm. The primary endpoint was agreement in assessment of tumor cell proportion between local pathologists and the CPC, as determined using the intraclass correlation coefficient (ICC). Secondary endpoints included agreement between the AI algorithm and local pathologists or the CPC. Results: Tissue samples from 204 patients were assessed. The ICC for local pathologists vs. the CPC showed poor to moderate agreement (0.588 [95% confidence interval (CI) 0.483–0.674]). The AI algorithm showed moderate agreement with the CPC (ICC 0.652 [95% CI 0.548–0.733]), and poor to moderate agreement with local pathologists (ICC 0.465 [95% CI 0.279–0.604]). Conclusions: The ICC for the AI algorithm vs. the CPC was numerically highest among the rater pairs, indicating a level of usefulness for the algorithm. Continued efforts are needed to ensure the accurate estimation of tumor cell proportion. Integration of AI algorithms in real-world practice may contribute to this. Full article

Background/Objectives: The application of additive manufacturing in medicine, and specifically in personalised medicine, has achieved notable development. This article aims to present the results and benefits of applying a comprehensive methodology to simulate, plan, and manufacture customised three-dimensional medical prosthetic devices for use in surgery to restore bone structures with congenital and acquired malformations. Methods: To digitally reconstruct a bone structure in three dimensions from a medical image, a segmentation process is developed to correlate the anatomical model. Then, this model is filtered using a post-processing step to generate stereolithography (STL) files, which are rendered using specialised software. The segmentation of tomographic images is achieved by the specific intensity selection, facilitating the analysis of compact and soft tissues within the anatomical region of interest. With the help of a thresholding algorithm, a three-dimensional digital model of the anatomical structure is obtained, ready for printing the required structure. Results: The described cases demonstrate that the use of anatomical test models, cutting guides, and customised prostheses reduces surgical time and hospital stay, and achieves better aesthetic and functional results. Using materials such as polylactic acid (PLA) for presurgical models, appropriate resins for cutting guides, and biocompatible materials such as polyether ether ketone (PEEK) or polymethylmethacrylate (PMMA) for prostheses, the described improvements are achieved. Conclusions: The achievements attained demonstrate the feasibility of applying these techniques, their advantages and their accessibility in Ecuador. They also reinforce the ideas of personalised medicine in the search for medical treatments and procedures tailored to the needs of each patient. Full article

Background: The present study investigated the relation between dental inclination, colorimetric variation, and aesthetic perception according to the modification of incisor inclination. Smile aesthetics, shaped by morphological factors and patient perception, are vital for social attractiveness and treatment success. This study aimed to assess the effect of varying head tilt on the perceived colour of upper central incisors by simulating changes in torque of the tooth, as well as evaluate factors influencing the perception of an aesthetic smile, including morphological characteristics and gingival aesthetic parameters. Methods: The study was comprised of three stages: colour analysis, evaluation of micro- and mini-aesthetic smile features, and an image-based assessment to determine evaluator perceptions and overall smile attractiveness. A sample of 50 students with complete, lesion-free anterior dentition was analysed. To simulate the effect of orthodontic torque changes during colour analysis, subjects tilted their heads downward and upward, representing palatal and buccal crown torque, respectively. Standardized macro-intraoral photographs were captured under controlled lighting conditions using a DSLR camera stabilized on a tripod in the different positions: the neutral head position (p0), 15° upward (p + 15), and 15° downward (p − 15). Digital colour analysis was conducted in the CIELAB colour space (L*, a*, b*). In the next stage, focusing on micro- and mini-aesthetic evaluation, an additional 50 smiles were generated using artificial intelligence via the SmileCloud program—one digitally enhanced smile per subject—complementing the initial set of 50 spontaneous smiles. These 100 smile images were evaluated by 50 laypersons and 50 dentists using a visual analogue scale via an online questionnaire, in order to assess perceptions, determine smile attractiveness, and quantify gingival aesthetic parameters. Results: The statistically significant regression results are as follows: those for the L* values in all three head inclinations: downward (−15 degrees), upward (+15 degrees), and total tilting (−15 to +15 degrees), as well as for the a* values for downward tilting and the b* values for total tilting. When the head is tilted downwards, the central incisors are positioned retrusively, and the L* b* values reveal a darker and more yellowish appearance, whereas, with the head tilted upwards, the central incisors protrude, and L* a* values indicate a brighter and more greenish appear. In the evaluation stage of the smile aesthetics study, no significant differences were observed in the judgments between laypersons and dentists or between males and females. Smiles with a high or average anterior line, parallel arc, upward lip curvature, visible first/second premolars, a smile index of 5.08–5.87, and symmetry score of 1.04 were rated as more attractive. Significant asymmetries were observed between upper dental hemi-quadrants in gingival contour and interdental papilla height, highlighting subtle morphological variations relevant to smile aesthetics. Conclusions: Aesthetic assessment revealed that the findings suggest a measurable impact of head position on dental colour perception and aesthetic evaluation. Evaluator variables including profession and gender exerted negligible effects on aesthetic perception, whereas smile attractiveness features and gingival aesthetic parameters demonstrate significant clinical applicability in patient management. Full article

Artificial intelligence (AI) and its machine learning and deep learning algorithms have shown promise in oncological practice. Spatial information analysis in the context of cancer is crucial for its diagnosis and treatment because it can provide an understanding of tumor-microenvironment interactions and reveal insights into response to treatment. AI tools can analyze spatial information at multiple scales, highlighting key disease, clinical, and genetic phenotypes that may reveal underlying mechanisms and molecular markers of response and resistance within the tumor and its microenvironment. By examining tumor interactions at macroscopic (diagnostic imaging) and microscopic (pathology slides and spatial biology) levels, AI can assist in making important diagnostic and prognostic decisions. In this review, we first present an overview of AI and the need for multiscale spatial information in oncology. Then, we examine growing AI applications in the analysis of such information, focusing on diagnostic imaging, digital pathology, and spatial molecular biology. We also discuss applications of large-scale foundation models and task-oriented agentic AI in these fields as emergent technologies. Then, we discuss current limitations for the clinical translation of AI into regular utilization in cancer care and discovery. Full article