Search Results (958)

To date, visual analysis is mainly used to evaluate images of dehydrated films (facies) of biological fluids—microscopy at various magnifications, illumination with white or polarized light, as well as using a dark field. At the same time, important information on the architectonics of optically anisotropic supramolecular networks of facies is unknown (inaccessible). In our work, a model of optical anisotropy of the architectonics of supramolecular networks of blood facies is proposed. Algorithms and a methodology for a new multifunctional method of polarization-interference visualization of the Jones matrix and digital layer-by-layer phase reconstruction of optical anisotropy maps (theziograms) have been developed. As a result, statistically significant markers of oncological changes in the polycrystalline architectonics of supramolecular networks of blood facies samples from healthy donors and patients with papillary thyroid cancer at different stages of the oncological process have been determined and physically analyzed. A comparative study of the diagnostic efficiency of Jones matrix theziography (JT) and Mueller matrix diffusion tomography (MDT) of blood facies samples was conducted within the framework of evidence-based medicine. The main advantages of the Jones matrix method are shown: its multifunctionality (complex detection of birefringence and dichroism), high accuracy of early (stage 1: JM—90.4% and MDT—78.8%) and current (stage 2: JM—96.2% and MDT—88.5%) cancer diagnostics and an excellent level (JM—94.2% and MDT—84.6%) of differentiation of papillary thyroid cancer stages. Full article

Synthetic data has emerged as a significant alternative to more costly and time-consuming data collection methods. This assertion is particularly salient in the context of training facial expression recognition (FER) and generation models. The EmoStyle model represents a state-of-the-art method for editing images of facial expressions in the latent space of StyleGAN2, using a continuous valence–arousal (VA) representation of emotions. While the model has demonstrated promising results in terms of high-quality image generation and strong identity preservation, its accuracy in reproducing facial expressions across the VA space remains to be systematically examined. To address this gap, the present study proposes a systematic evaluation of EmoStyle’s ability to generate facial expressions across the full VA space, including four levels of emotional intensity. While prior work on expression manipulation has mainly focused its evaluations on perceptual quality, diversity, identity preservation, or classification accuracy, to the best of our knowledge, no study to date has systematically evaluated the accuracy of generated expressions across the VA space. The evaluation’s findings include a consistent weakness in the VA direction range of 242–329°, where EmoStyle demonstrates the inability to produce distinct expressions. Building on these findings, we outline recommendations for enhancing the generation pipeline and release an open-source EmoStyle-based toolkit that integrates fixes to the original EmoStyle repository, an API wrapper, and our experiment scripts. Collectively, these contributions furnish both novel insights into the model’s capacities and practical resources for further research. Full article

Soft tissue sarcomas (STSs) are a rare and highly heterogeneous group of tumours originating from mesenchymal cells, characterized by significant clinical and biological diversity. Due to this complexity, STSs present considerable challenges in both diagnosis and treatment, requiring an expert, multidisciplinary, and coordinated approach. To address these challenges, a multidisciplinary team of experts from the Spanish Group for Research in Sarcomas (GEIS) has developed a comprehensive, evidence-based consensus guideline that incorporates the latest advancements in biology, imaging techniques, and treatment options. The primary objective of this guideline is to provide clear and practical, up-to-date recommendations addressing the key questions that arise in the management of STSs. This approach aims to support therapeutic decision-making, enhance overall patient management, and ultimately improve clinical outcomes for patients affected by STSs. Key recommendations include the use of MRI as the preferred imaging modality prior to biopsy and ensuring that all patients are referred to specialised sarcoma centres with a multidisciplinary team for diagnosis and treatment. Full article

Background/Introduction: Colorectal carcinoma (CRC) belongs to the most commonly diagnosed malignancies to this date, ranking as third across the globe. In addition, CRC remains a leading cause of cancer-related deaths as it is ranked as the second most common cause of mortality. Therapeutic strategies for the management and treatment of CRC have made significant progress in the last two decades, with both adjuvant and neoadjuvant approaches playing critical roles in enhancing favorable outcomes with regimens like FOLFOX, CAPOX, and 5-FU-based therapies demonstrating effectiveness. Nevertheless, growing evidence indicates that these therapies may pose a risk of cardiotoxicity development. A systematic review will be conducted to map the mechanistic pathways of chemotherapy-induced in CRC in order to bridge oncology and cardiology perspectives, highlighting emerging diagnostic tools and long-term surveillance gaps. Purpose: The objective of this study is the investigation of the prevalence and characteristics of cardiovascular problems linked to frequently employed chemotherapy regimens, as well as to evaluate existing diagnostic and therapeutic approaches. Methodology: A thorough search across databases, including PubMed (MEDLINE), Embase, and Cochrane Library, was performed to locate articles published up to 2025. The final studies included in the review underwent quality assessment. Results: Fourteen qualifying studies, comprising both prospective trials and case reports from diverse geographies, were included. Cardiovascular outcomes including myocardial strain, arrhythmias, angina, heart failure, and Takotsubo cardiomyopathy were evaluated. The diagnostic methods assessed comprised echocardiography, cardiac biomarkers, and electrocardiograms. In the reviewed trials, chemotherapy-induced cardiotoxicity varied from asymptomatic ventricular strain to serious cardiac complications. The FOLFOX and 5-FU regimens were predominantly linked to adverse cardiac outcomes. Prompt identification by echocardiographic strain imaging and biomarker monitoring facilitated timely intervention. Case studies revealed that, given proper cardiological support, certain patients could safely recommence chemotherapy following recovery. No standardized cardiac screening protocol was identified among the trials. Conclusions: Chemotherapy for colorectal cancer may present considerable cardiovascular hazards, highlighting the necessity for routine cardiac monitoring prior to and throughout treatment. This systematic review promotes collaborative cardio-oncology strategies to reduce risk and enhance therapeutic safety. Full article

The extraction of ocean wave wavelengths from optical imagery via Fast Fourier Transform (FFT) exhibits significant potential for Wave-Derived Bathymetry (WDB). However, in practical applications, this method frequently produces anomalously large wavelength estimates. To date, there has been insufficient exploration into the mechanisms underlying image spectral leakage to low wavenumbers and its suppression strategies. This study investigates three plausible mechanisms contributing to spectral leakage in optical images and proposes a subimage-based preprocessing framework: prior to executing two-dimensional FFT, the remote sensing subimages employed for wavelength inversion undergo three sequential steps: (1) truncation of distorted pixel values using a Gaussian mixture model; (2) application of a polynomial detrending surface; (3) incorporation of a two-dimensional Hann window. Subsequently, the dominant wavenumber peak is localized in the power spectrum and converted to wavelength values. Water depth is then inverted using the linear dispersion equation, combined with wave periods derived from ERA5. Taking 2 m-resolution WorldView-2 imagery of Sanya Bay, China as a case study, 1024 m subimages are utilized, with validation conducted against chart-sounding data. Results demonstrate that the proportion of subimages with anomalous wavelengths is reduced from 18.9% to 3.3% (in contrast to 14.0%, 7.8%, and 16.6% when the three preprocessing steps are applied individually). Within the 0–20 m depth range, the water depth retrieval accuracy achieves a Mean Absolute Error (MAE) of 1.79 m; for the 20–40 m range, the MAE is 6.38 m. A sensitivity analysis of subimage sizes (512/1024/2048 m) reveals that the 1024 m subimage offers an optimal balance between accuracy and coverage. However, residual anomalous wavelengths persist in near-shore subimages, and errors still increase with increasing water depth. This method is both concise and effective, rendering it suitable for application in shallow-water WDB scenarios. Full article

Maxillary sinus abnormalities, including retention cysts and mucosal thickening, are often incidental findings and may be present in up to 35.6%, depending on imaging modality and population characteristics. To date, few studies have explored the appearance of maxillary sinus retention cysts using MRI. Aim: This study provides the first large-scale MRI-based assessment of these lesions, with the aim of evaluating the prevalence and characteristics of maxillary sinus abnormalities detected incidentally on head MRI scans, particularly focusing on retention cysts and mucosal changes. Materials and Methods: A retrospective analysis of 3092 head MRI scans obtained between 2023 and 2024 was conducted to assess the prevalence and characteristics of maxillary sinus abnormalities. The mean patient age was 54.5 ± 18.6 years (median 56; range 18–99 years), with 1,825 women (59%). Statistical power exceeded 83% to detect differences of at least 10% in the prevalence of cysts between age groups (α = 0.05). A simplified MRI-based sinus assessment scale was used to categorize findings. Results: Out of 3092 scans, 1995 (64.5%) showed normal sinuses, 817 (26.4%) had mucosal thickening < 5 mm, 116 (3.8%) presented with retention cysts without other pathology, 100 (3.2%) exhibited moderate changes, and 64 (2.1%) had severe changes. Cysts were significantly more frequent in men (7.5%) than in women (4.4%) (p < 0.001). Additionally, maxillary sinus involvement differed significantly between sexes, with a higher prevalence in men. Conclusions: Incidental maxillary sinus findings are common and often benign. A comprehensive diagnostic approach is essential, especially for unilateral lesions near tooth roots. Conservative management remains appropriate for asymptomatic patients, but ongoing monitoring and patient education are key to preventing complications. Full article

Accurate and timely 3D vegetation structure information is essential for ecological modeling and land management. However, these needs often cannot be met with existing airborne LiDAR surveys, whose broad-area coverage comes with trade-offs in point density and update frequency. To address these limitations, this study introduces a deep learning framework built on attention mechanisms, the fundamental building block of modern large language models. The framework upsamples sparse (<22 pt/m²) airborne LiDAR point clouds by fusing them with stacks of multi-temporal optical (NAIP) and L-band quad-polarized Synthetic Aperture Radar (UAVSAR) imagery. Utilizing a novel Local–Global Point Attention Block (LG-PAB), our model directly enhances 3D point-cloud density and accuracy in vegetated landscapes by learning structure directly from the point cloud itself. Results in fire-prone Southern California foothill and montane ecosystems demonstrate that fusing both optical and radar imagery reduces reconstruction error (measured by Chamfer distance) compared to using LiDAR alone or with a single image modality. Notably, the fused model substantially mitigates errors arising from vegetation changes over time, particularly in areas of canopy loss, thereby increasing the utility of historical LiDAR archives. This research presents a novel approach for direct 3D point-cloud enhancement, moving beyond traditional raster-based methods and offering a pathway to more accurate and up-to-date vegetation structure assessments. Full article

Background/Objectives: Brain metastasis from uterine leiomyosarcoma (ULMS) is an exceptionally rare complication of an aggressive malignancy. With fewer than 40 cases previously documented, a significant knowledge gap exists regarding its clinical course, management, and outcomes. This study provides the largest analysis of ULMS brain metastases to date, integrating a systematic literature review with a novel case report illustrating the disease’s uniquely rapid progression. Methods: Following PRISMA guidelines, we systematically reviewed four major databases to identify all reported cases of intracranial metastasis from ULMS. Data on patient demographics, clinico-radiological features, treatments, and survival were extracted and analyzed. Methodological quality was assessed using a modified Joanna Briggs Institute (JBI) tool. Results: We analyzed 34 studies with 39 individual cases. Additionally, this review was supplemented by one new illustrative case from our institution. The median patient age was 51.5 years, and most presented with focal neurological symptoms. Common imaging findings included hyperdense lesions on CT and homogeneously enhancing, dural-based masses on MRI, which mimic other intracranial pathologies. Though surgery was the most frequent intervention (76.9%), median survival after a brain metastasis diagnosis was a grim 5 months, with no significant difference observed between treatment modalities. Our illustrative case was remarkable for an extremely rapid volumetric doubling time averaging just 7.3 days. Conclusions: Brain metastasis from ULMS is a lethal event with an extremely poor prognosis. Nonspecific imaging features create diagnostic challenges, necessitating histopathological confirmation. Current therapies, including surgery and radiotherapy, offer palliative benefit but do not significantly alter survival. The aggressive biological behavior demonstrated here underscores the urgent need for increased clinical awareness and collaborative research to develop more effective management strategies and improve outcomes for this devastating diagnosis. Full article

In this study, two known date fruit cultivars (‘Mejhoul’ and ‘Boufeggous’) were pre-treated using convective and infrared drying, and then subjected to cold storage at +4 °C using two levels of relative humidity (RH): 55% and 65%. The quality of the date fruit was assessed based on selected phenolic compounds, sugars, color, hardness, weight loss, and some image features at 0, 2, 4, 6, and 8 months. The results exhibited non-similar patterns in the changes of phenolic compounds according to cultivar and relative humidity level. The highly significant changes were observed for “Quercetin-Xyloside” that decreased drastically after two months of storage, especially for the ‘Mejhoul’ cultivar. Also, “Gallic acid” indicated a progressive and significant increase during storage. Other phenolic compounds, mainly “Quercetin-derivatives”, “Chlorogenic acid derivatives”, and “Ferulic acid”, showed fluctuating values among treatments and during the whole period of storage. For sugar compounds, it was noticed that glucose and fructose were affected by drying technique and relative humidity, especially for the ‘Boufeggous’ cultivar. Weight loss increased significantly for ‘Mejhoul’ cultivar stored at high relative humidity (65%), and ‘Boufeggous’ evolved in the opposite way for samples stored at lower RH (55%). For color, the browning index exhibited a significant and progressive increase among all treatments considered in this study; this pattern was more pronounced for date cultivars stored at high relative humidity (65%). The evaluation of hardness indicated a softening phenomenon during storage, especially for the ‘Mejhoul’ cultivar stored at 65% of RH. Moreover, the correlation of image features with weight loss and some color attributes indicated high correlation, and the estimation of the behavior of dates under storage could be predicted using accurate image features. Full article

Accurate classification of tree species is crucial for forest management and biodiversity conservation. Remote sensing technology offers a unique capability for classifying and mapping trees across large areas; however, the accuracy of extracting and identifying individual trees remains challenging due to the limitations of available imagery and phenological variations. This study presents a novel integrated machine learning (ML) and Geographic Object-Based Image Analysis (GEOBIA) framework to enhance tree species classification in a botanical garden using multi-temporal unmanned aerial vehicle (UAV) imagery. High-resolution UAV imagery (2.3 cm/pixel) was acquired across four different seasons (summer, autumn, winter, and early spring) to incorporate the phenological changes. Spectral, textural, geometrical, and canopy height features were extracted using GEOBIA and then evaluated with four ML models (Random Forest (RF), Extra Trees (ET), eXtreme gradient boost (XGBoost), and Support Vector Machine (SVM)). Multi-temporal data significantly outperformed single-date imagery, with RF achieving the highest overall accuracy (86%, F1-score 0.85, kappa 0.83) compared to 57–75% for single-date classifications. Canopy height and textural features were dominant for species identification, indicating the importance of structural variations. Despite the limitations of moderate sample size and a controlled botanical garden setting, this approach offers a robust framework for forest and urban landscape managers as well as remote sensing professionals, by optimizing UAV-based strategies for precise tree species identification and mapping to support urban and natural forest conservation. Full article

Background/Objectives: Colorectal cancer (CRC) survivors may face long-term health consequences, yet the relationship between CRC and osteoporosis remains underexplored, particularly in Asia. We conducted a nationwide, retrospective longitudinal cohort study with matched controls using the Korean National Health Insurance Service–National Sample Cohort (2005–2019) to assess whether CRC increases osteoporosis risk or not. Methods: We identified 8733 CRC patients and 34,932 matched controls (1:4 ratio) based on age, sex, income, residence, and index date, excluding individuals with pre-existing osteoporosis. Osteoporosis was defined via ICD-10 codes (M80–M82) plus confirmatory bone imaging claims. Propensity score overlap weighting was applied, and adjusted hazard ratios (HRs) with 95% confidence intervals (CIs) were calculated using Cox proportional hazards models, with subgroup analyses based on demographic and clinical factors. Results: With up to 16 years of follow-up, osteoporosis incidence rates were 13.80 and 14.30 per 1000 person-years in CRC and control groups, respectively. Adjusted Cox models revealed no significant association between CRC and osteoporosis (HR = 0.95; 95% CI = 0.87–1.04). Subgroup analysis showed a slightly lower risk among CRC survivors aged ≥65 years (adjusted HR = 0.84; 95% CI = 0.75–0.95), though no associations were observed by sex, income, region, or comorbidities. Conclusions: These findings suggest CRC may not be an independent risk factor for osteoporosis in the Korean population. The unexpected age-specific variation warrants cautious interpretation, possibly reflecting competing mortality risks or detection biases. Full article

Background/Objectives: Veillonella species are Gram-negative, non-motile, non-fermentative, obligate anaerobic cocci. They are typically considered commensals of the oral cavity, respiratory tract, genitourinary tract, and gastrointestinal tract. It may be a rare cause of dental infections and discitis/spondylodiscitis. Methods: We report the case of an 80-year-old patient diagnosed with discitis caused by Veillonella parvula, isolated from blood. In addition, we performed a comprehensive literature review summarizing all reported cases of discitis or spondylodiscitis caused by Veillonella species. Results: In our case, antimicrobial susceptibility testing was performed using the Kirby–Bauer disc diffusion method. Based on the results, the patient was treated with amoxicillin/clavulanate, which led to a favourable clinical outcome. A review of the literature revealed that, to date, only 14 cases of spondylodiscitis or discitis caused by Veillonella spp. have been reported. Potential risk factors for Veillonella spp. bacteremia were identified in only 9 cases. The most commonly affected site was the lumbar or lumbosacral spine. Magnetic resonance imaging was consistently regarded as the diagnostic gold standard. Most patients presented with localized pain. The overall therapeutic approach generally consisted of an initial course of intravenous antibiotics, typically ceftriaxone administered either as monotherapy or in combination with metronidazole, followed by an oral regimen with amoxicillin/clavulanate, given alone or alongside metronidazole. Conclusions: Spondylodiscitis due to V. parvula remains extremely rare. Although antimicrobial susceptibility patterns remain heterogeneous, beta-lactams, particularly amoxicillin/clavulanate, appear effective in most cases, and treatment regimens typically involve an initial intravenous phase followed by oral therapy. Full article

Abnormally warm winters in recent years have accelerated flowering in fruit trees, increasing their vulnerability to late frost damage. To address this challenge, this study aimed to evaluate and compare the performance of three phenology models—the development rate (DVR), modified DVR (mDVR), and Chill Days (CD) models—for predicting full bloom dates of ‘Niitaka’ pear, using image-derived phenological observations. The goal was to identify the most reliable and regionally transferable model for nationwide application in South Korea. A key strength of this study lies in the integration of real-time orchard imagery with automated weather station (AWS) data, enabling standardized and objective phenological monitoring across multiple regions. Using five years of temperature data from seven orchard sites, chill and heat unit accumulations were calculated and compared with observed full bloom dates obtained from orchard imagery and field records. Correlation analysis revealed a strong negative relationship between cumulative heat units and bloom timing, with correlation coefficients ranging from –0.88 (DVR) to –0.94 (mDVR). Among the models, the mDVR model demonstrated the highest stability in chill unit estimation (CV = 6.3%), the lowest root-mean-square error (RMSE = 2.9 days), and the highest model efficiency (EF = 0.74), indicating superior predictive performance across diverse climatic conditions. In contrast, the DVR model showed limited generalizability beyond its original calibration zone. These findings suggest that the mDVR model, when supported by image-based phenological data, provides a robust and scalable tool for forecasting full bloom dates of temperate fruit trees and enhancing grower preparedness against late frost risks under changing climate conditions. Full article

Reliable monitoring of snow cover in mountainous regions remains a challenge due to frequent cloud cover and the revisit limitations of optical satellites. This study compares satellite snow-cover records with >99,000 ground-based time-lapse camera observations across northern Spain (2003–2025). Cloud cover caused major data loss, with up to 57% of satellite images affected. Effective revisit intervals (the average time between usable images) diverge substantially from nominal values: 2.3 days for MODIS, 6.9 days for Sentinel-2, and over 21 days for Landsat. A hierarchical multisensor approach with 5-day gap-filling reduced this to just 1.3 days. On dates when cameras confirmed snow, satellites underestimated snow presence by 61.6% (Sentinel-2), 71.5% (Landsat), and 79.7% (MODIS), though gap-filling approaches reduced underestimation to 49.4%—deficits largely attributable to cloud-obscured scenes. When both satellite and camera provided cloud-free observations for the same date and location, classification agreement exceeded 85%. Despite this, satellites consistently failed to detect short-lived snow events and introduced temporal biases. On average, Snow Onset Dates were detected 13–52 days later, and Snow Melt-Out Dates differed by up to 40 days compared to camera-derived records. These results have implications for snow-cover monitoring using satellite images and highlight the need for integrating ground-based observations to compensate for satellite limitations and improve snow cover seasonality assessments in complex terrains. Full article

The Maillard reaction (MR), a non-enzymatic interaction between reducing sugars and amino compounds, plays a pivotal role in developing the flavor, color, and aroma of thermally processed foods. Beyond its culinary relevance, the MR gives rise to a structurally diverse array of compounds, including a novel class of fluorescent nanomaterials known as carbon nanodots (CNDs). These Maillard-derived CNDs, although primarily incidental in food systems, exhibit physicochemical characteristics—such as aqueous solubility, biocompatibility, and tunable fluorescence—that are similar to engineered CNDs currently explored in biomedical fields. While CNDs synthesized through hydrothermal or pyrolytic methods are well-documented for drug delivery and imaging applications, no studies to date have demonstrated the use of Maillard-derived CNDs specifically in drug delivery. This review examines the chemistry of the Maillard reaction, the formation mechanisms and characteristics of food-based CNDs, and their potential functional applications in food safety, bioactivity, and future biomedical use. Additionally, it critically evaluates the health implications of Maillard reaction products (MRPs), including both beneficial antioxidants and harmful by-products such as advanced glycation end-products (AGEs). This integrated perspective highlights the dual role of MR in food quality and human health, while identifying key research gaps needed to harness the full potential of food-origin nanomaterials. Full article