Search Results (201)

Extraprostatic extension (EPE) is an important prognostic factor in prostate cancer and influences nerve-sparing decisions during radical prostatectomy. Multiparametric MRI (mpMRI) is the standard for local staging, but its sensitivity for EPE remains limited, and its interpretation is subject to inter-reader variability. In this narrative review, we aim to create an overview of contemporary strategies for the preoperative detection of EPE. We searched PubMed, Embase, Web of Science, and Google Scholar, focusing on studies published between 2015 and 2025 including articles evaluating clinical parameters, mpMRI features, nomograms, radiomics, machine learning, and deep learning models for EPE prediction. The analyzed literature was compared with respect to diagnostic performance, validation strategy, and clinical applicability of individual methods. Clinical parameters and traditional nomograms provide moderate accuracy for EPE detection. mpMRI improves staging, with tumor–capsule contact length as the most important single imaging marker. Radiomics-based and machine-learning models matched and occasionally outperform conventional approaches, achieving AUC values ranging from 0.75 to 0.85. Deep-learning models demonstrated similar performance by directly analyzing imaging data, although most lacked external validation and were sensitive to dataset heterogeneity. Several radiomics and deep learning models demonstrated performance comparable to, and in selected studies exceeding, expert radiologist assessment. Binary EPE classification has limited clinical value, while side-specific and graded EPE assessment offers a more clinically relevant approach. Translation of these tools into routine practice will require multimodal, side-specific, and externally validated models supported by automated segmentation and explainable artificial intelligence frameworks. Full article

Ulcerative colitis (UC) is an inflammatory bowel disease associated with oxidative stress. Pogostemon oil (PO) exhibits potent antioxidant and anti-inflammatory activities but is limited by high volatility and poor gastrointestinal stability. In this study, sporopollenin exine capsules (SECs) were engineered as natural micro-carriers for PO, achieving efficient encapsulation (η > 69%) and a high adsorption capacity (27.64 g/g). A pH-sensitive calcium alginate shell was subsequently applied to construct colon-targeted microspheres (Ca-Alg@PO-SECs). The resulting system improved the thermal and photostability of PO. In vitro dissolution assays confirmed the system’s pH-responsiveness, maintaining integrity under simulated gastric conditions while enabling localized release at intestinal pH. In a DSS-induced acute UC mouse model, Ca-Alg@PO-SECs effectively alleviated clinical symptoms, as evidenced by improved body weight, colon length, and disease activity index. At the inflammatory level, the formulation modulated key cytokines (IL-1β, IL-6, and IL-10). Overall, Ca-Alg@PO-SECs provides a biocompatible, colon-targeted delivery strategy that preserves the bioactivity of essential oils and offers a promising preclinical approach for localized UC therapy. Full article

Background and Objectives: Implant-associated complications, including foreign-body responses and infection risk, remain major concerns in reconstructive and aesthetic breast surgery. Antimicrobial polymer coatings have been proposed as potential preventive strategies, but early-stage development requires simple and ethically refined in vivo models. This pilot study aimed to (i) establish a practical workflow for applying PLGA–vancomycin coatings onto PTFE substrates used as experimental analogs for smooth silicone implants, and (ii) develop a small-animal implantation protocol for short-term evaluation of surgical feasibility and local tissue tolerability. Materials and Methods: PLGA microparticles and PLGA–vancomycin microparticles were prepared using a double-emulsion solvent-evaporation method and applied onto PTFE discs. Particle size and polydispersity were assessed based on dynamic light scattering (DLS), and surface charge was measured via zeta potential. A bilateral subcutaneous implantation model was used in four Wistar rats, each receiving a PTFE disc coated with PLGA-only on one side and a disc coated with PLGA–vancomycin on the other. Animals were monitored for postoperative recovery, wound appearance, and general condition. After four weeks, implants and surrounding tissues were harvested for macroscopic and preliminary histological evaluation. Results: Both PLGA-only and PLGA–vancomycin microparticles showed submicron mean hydrodynamic diameters and moderately polydisperse distributions typical for double-emulsion formulations. All animals recovered normally, maintained stable body weight, and exhibited no macroscopic signs of adverse reactions. Preliminary histology showed early fibrous capsule formation with mild inflammatory infiltrate around both types of coated implants, without qualitative differences observed in this pilot setting. Conclusions: This preliminary study demonstrates the feasibility of applying PLGA-only and PLGA–vancomycin coatings onto PTFE implant analogs and establishes a reproducible, minimal-use rat model for short-term evaluation of local tissue tolerability. The protocol provides a practical foundation for future work on coating stability, drug-release kinetics, antibacterial activity, and long-term tissue responses on medical-grade silicone substrates. Full article

Magnetic localization technology plays a significant role in medical device navigation and human–computer interaction. However, existing localization methods based on local optimization suffer from poor initial solutions and slow convergence. To address the aforementioned challenges, this paper presents a hybrid localization approach, referred to as the Improved Artificial Lemming Algorithm (IALA) Integrated with Levenberg–Marquardt (LM) Optimization. Building upon the Artificial Lemming Algorithm (ALA), the proposed method incorporates an adaptive Gaussian–Lévy hybrid mutation strategy designed to enhance search performance through improved exploration–exploitation dynamics, as quantitatively demonstrated by the diversity-based analysis where IALA maintains higher exploration percentages on multimodal functions while achieving superior optimization results on high-dimensional problems. By introducing a competitive foraging mechanism inspired by the aggressive behavior of the Tasmanian Devil Optimization (TDO) algorithm, it enhances population diversity and search initiative. Furthermore, a time-varying tracking and escape strategy is adopted to improve dynamic optimization performance in complex solution spaces. The proposed method leverages IALA to generate high-quality initial solutions, significantly accelerating the convergence speed and stability of the LM algorithm, thereby improving the overall performance of the permanent magnet localization system. The experimental results show that, using a horizontal test platform of 60 mm × 60 mm with 41 uniformly distributed test points, and acquiring data at vertical heights ranging from 15 mm to 65 mm in 5 mm increments for two distinct orientations of the permanent magnet, the IALA-LM algorithm achieves an average localization success rate of 96.9% over 902 trials, with a mean position error of 1.1 mm and a mean orientation error of 0.17°. Compared with the standard LM algorithm, the proposed IALA-LM algorithm reduces the position error by approximately 66.7% (from 3.3 mm to 1.1 mm) and the orientation error by approximately 94.3% (from 3.0° to 0.17°). Consequently, the proposed method enables high-precision, high-stability, and high-efficiency localization of permanent magnets. It can provide reliable spatial pose estimation support for demanding applications such as miniature implantable or ingestible medical devices (e.g., capsule endoscopy, intramedullary nail fixation, and tumor localization), human–computer interaction, and industrial inspection. Full article

This study investigates how cultural and natural heritage can inform surface design for fashion, focusing on the development of a capsule collection of geoproducts in the UNESCO Global Geopark of Caçapava do Sul, Brazil. The purpose is to expand the scope of existing geoproducts, often limited to food and souvenirs, by introducing textile-based items that reflect local identity and contribute to sustainability. The research employed an applied, qualitative, and descriptive approach, including bibliographic review, questionnaires with local artisans, and the mapping of existing geoproducts. Data were analyzed through content analysis, and the creative process followed the method of cross-fertilization, which stimulates innovation by combining knowledge from design, geology, and craftsmanship. The design process was organized into four phases—preparation, generation of alternatives, selection, and realization—culminating in the capsule collection Aflora. The collection comprised two thematic lines: Cactaceae, inspired by endemic flora, and Geo, based on local geomonuments. The results demonstrate that surface design can mediate the relationship between fashion and heritage, producing identity-driven and innovative textile products. Three surface-design modules were produced, six product mockups, and two geoproduct prototypes, developed with materials such as wool, felt, sarja, and cotton fabrics. The study contributes theoretically by linking apparel design with heritage valorization, and practically by proposing a replicable model for geoproduct development. Limitations relate to the single case study and qualitative scope, suggesting future research on replication, eco-friendly printing, and market feasibility. Full article

Background: Recent research suggests that damage to right hemisphere regions homotopic to the left hemisphere language network affects language abilities to a greater extent than previously thought. However, few studies have investigated acute disruption of language after lesion to the right hemisphere. Here, we examined lesion correlates of acute speech deficits following left and right hemisphere ischemic stroke to clarify the neural architecture underlying early language dysfunction. Methods: We retrospectively analyzed 410 patients (225 left, 185 right hemisphere lesions) from the Stroke Outcome Optimization Project dataset. Presence and severity of speech deficits was measured using the National Institute of Health Stroke Scale Best Language subscore within 48 h of onset. Manual lesion masks were derived from clinical MRI scans and normalized to MNI space. Lesion-symptom mapping was conducted using voxelwise and region-of-interest analyses with permutation correction (5000 iterations; p < 0.05), controlling for total lesion volume. Results: Speech deficits were observed in 53.7% of the cohort (58.2% left, 48.1% right hemisphere lesions). In the full sample, the presence of speech deficits was associated with bilateral subcortical and perisylvian damage, including the external and internal capsules, insula, putamen, and superior fronto-occipital fasciculus. Severity of speech deficits localized predominantly to left hemisphere structures, with peak associations in the external capsule (Z = 6.39), posterior insula (Z = 5.64), and inferior fronto-occipital fasciculus (Z = 5.43). In the right hemisphere cohort, the presence and severity of speech deficits were linked to homologous regions, including the posterior insula (Z = 3.70) and external capsule (Z = 3.63), although with smaller effect sizes relative to the left hemisphere cohort. Right hemisphere lesions resulted in milder deficits despite larger lesion volumes compared with left hemisphere lesions. Conclusions: Acute speech impairment following right hemisphere stroke is associated with damage to a homotopic network encompassing perisylvian cortical and subcortical regions analogous to the dominant left hemisphere language network. These findings demonstrate that damage to the right hemisphere consistently results in acute speech deficits, challenging the traditional left-centric view of post-stroke speech impairment. These results have important implications for models of bilateral language representation and the neuroplastic mechanisms supporting language recovery. Full article

The development of polymer-based systems is central to the design of next-generation drug delivery carriers, as polymers enable versatile tuning of physicochemical properties and responsiveness. In this work, we introduce a 3D printing-based strategy for the fabrication of multicompartment capsules that integrate multiple polymers within a unique one-step process. This approach allows precise spatial organization and structural complexity, yielding capsules with customizable features such as compartmentalization, polymer-specific responsiveness, and localized release control. In particular, pH-triggered release can be programmed across distinct polymeric regions of the capsules, enabling site-specific delivery along different intestinal segments, including the small intestine and colon. The use of 3D printing thus provides a scalable and adaptable platform to generate multifunctional polymer-based carriers with finely tunable drug release profiles, paving the way for new directions in polymer-enabled controlled delivery technologies. Full article

Short videos have become a primary medium for news delivery, but their low cost, rapid diffusion, and multimodal nature make misinformation easier to generate and harder to verify. Existing methods often rely on single-modality cues or shallow cross-modal correlations, making it difficult to distinguish manipulations from benign edits and limiting interpretability. We propose a robust and interpretable framework for fake news detection in short videos. It combines LLM-based video understanding and online search for multi-dimensional credibility assessment, employs RoBERTa and capsule networks for semantic aggregation, and leverages a diffusion model with multi-granularity contrastive learning to enforce cross-modal consistency. A neuro-symbolic rule engine further calibrates predictions with logical constraints to provide traceable rationales. Experiments on the FakeSV dataset demonstrate an accuracy of 89.11% and an F1 score of 89.53%, significantly outperforming mainstream baseline models. This performance surpasses the current state-of-the-art OpEvFake model, which recorded an accuracy of 87.80% and an F1 score of 87.71%, and also substantially outperforms the representative short-video detection method SV-FEND, which achieved an accuracy of 81.69% and an F1 score of 81.78%. The framework shows robustness against emotional manipulation, title–content inconsistency, audio–video desynchronization, and local tampering, while offering explanatory evidence through rule triggers and modality contributions. Full article

Fake news may obscure the truth or mislead readers through subtle manipulations of textual content, such as modifying a few keywords or adjusting syntactic structures. Such local-level alterations are often difficult for detection models to capture, which undermines their overall performance. To address the limitations in processing fine-grained textual details, we propose a novel fake news detection framework—BCCU, which integrates a pre-trained language model, capsule networks, and a co-attention mechanism. Specifically, BCCU employs BERT to extract global semantic representations from news text, leverages Capsule Network to identify subtle local patterns, and synergistically fuses these two feature streams via a Co-Attention mechanism. Additionally, it incorporates User attributes as auxiliary features to further enhance detection accuracy. We evaluate the BCCU framework on three benchmark datasets—Twitter15, Twitter16, and Weibo—achieving accuracies of 0.864, 0.851, and 0.945, respectively, outperforming existing baseline models. The results demonstrate that by effectively combining global and local textual features and integrating user profile information, BCCU can robustly detect fake news even when relying solely on the unimodal text modality. Full article

Gastrointestinal disorders, such as colorectal cancer (CRC), pose a substantial health burden worldwide, showing increased incidence rates across different age groups. Detecting and removing polyps promptly, recognized as CRC precursors, are crucial for prevention. While traditional colonoscopy works well, it is vulnerable to specialist errors. This study suggests an AI-based diminutive sessile polyp localization assistant utilizing the YOLO-V8 family. Comprehensive evaluations were conducted using a diverse dataset that was assembled from various available datasets to support our investigation. The final dataset contains images obtained using two imaging methods: white light endoscopy (WLE) and narrow-band imaging (NBI). The research demonstrated remarkable results, boasting a precision of 96.4%, recall of 93.89%, and F1-score of 94.46%. This success can be credited to a meticulously balanced combination of hyperparameters and the specific attributes of the comprehensive dataset designed for the colorectal polyp localization in colonoscopy images. Also, it was proved that the dataset selection was acceptable by analyzing the polyp sizes and their coordinates using a special matrix. This study brings forth significant insights for augmenting the detection of diminutive sessile colorectal polyps, thereby advancing technology-driven colorectal cancer diagnosis in offline scenarios. This is particularly beneficial for gastroenterologists analyzing endoscopy capsule images to detect gastrointestinal polyps. Full article

Introduction: Odontogenic keratocyst (OKC) is a locally aggressive cystic lesion derived from remnants of the dental lamina. It is most commonly located in the posterior mandible, while maxillary involvement is rare and poses diagnostic and surgical challenges due to its proximity to critical anatomical structures. This case report describes the surgical management of a maxillary OKC with an uncommon localisation. Methods: A 50-year-old male presented with an asymptomatic swelling in the posterior maxilla. Cone beam computed tomography (CBCT) revealed a well-defined unilocular radiolucency extending toward the maxillary sinus floor. Surgical management included complete enucleation and peripheral curettage, followed by histopathological confirmation. The defect was left to heal naturally through bone regeneration without the need for grafting. Results: Intraoperatively, a thin pearly white cystic capsule and buccal cortical thinning were observed, consistent with OKC. The lesion was enucleated intact, without rupture or sinus perforation. Histology confirmed the diagnosis. Postoperative healing was uneventful, with radiographic follow-up at one month showing favourable healing changes. Conclusions: Careful surgical planning combined with advanced imaging facilitates safe and effective management of OKCs in uncommon maxillary sites. Enucleation with peripheral curettage provided satisfactory short-term outcomes. Long-term follow-up remains essential due to the risk of recurrence. Full article

Understanding the reproductive biology of orchids is essential for evaluating population viability and guiding conservation strategies, as their persistence often depends on complex interactions between ecological, physiological, and environmental factors. Govenia capitata, a threatened orchid endemic to the montane forests of central Mexico, had not previously been studied in this regard. We examined flowering phenology, floral longevity, stigmatic receptivity, natural and experimental pollination success, seed viability, and asymbiotic germination in two wild populations. Flowering was synchronous, with inflorescences lasting up to 57 days and individual flowers persisting for an average of 20 days. Stigmatic receptivity was detectable from the first day of anthesis and remained evident for at least eight days. Natural fruit set was very low (16.6%), while assisted self- and cross-pollination reached 100% success, demonstrating self-compatibility despite the inability for autonomous selfing due to floral structure. Seed viability differed significantly among treatments, being lowest in selfed capsules (11%) and highest in cross-pollinated ones (32%), representing a 65% reduction and reflecting severe inbreeding depression that extended to germination performance. In vitro germination success also varied, with the L-arginine medium yielding the highest values (46% for cross-pollinated seeds and 44% for naturally pollinated seeds), though post-germination survival requires optimization for conservation applications. Despite the conspicuous floral display, floral visitation was extremely rare and the pollinator identity remains unknown, with only one potentially effective visitor observed during 144 h of monitoring, and most floral visitors were non-pollinating arthropods such as crab spiders, weevils, hymenopterans, and thrips. Population density varied dramatically (26-fold) between sites separated by less than 1 km, indicating pronounced sensitivity to local environmental conditions. These findings reveal that reproduction in G. capitata is constrained by both extrinsic (pollinator limitation) and intrinsic factors (reduced seed viability), which collectively jeopardize long-term population persistence. From a conservation perspective, protecting montane forest remnants and pollinator communities is essential, while the demonstrated potential of asymbiotic germination provides a complementary tool for ex situ propagation and management of this endemic orchid. Full article

Background and Objectives: The anesthetic nerve block test is a surgical technique that can assist in the differential diagnosis of forefoot pain. The MTP joint, enclosed by its capsule, may act as a sealed cavity with predictable contrast dispersion, whereas the IM space, lacking clear boundaries and containing bursae and the plantar digital nerve, favors diffuse spread. Due to the high rate of false positives in suspected cases of Morton’s neuroma with the anesthetic block current procedure in the intermetatarsal space, the aim of this study was to propose an alternative to the current procedure. Material and Methods: Six fresh cadaveric feet were used. Under ultrasound guidance, the 2nd–4th MTP joints received stepwise intra-articular injections of radiopaque contrast. The third common digital nerve was injected within the third intermetatarsal space. Standard radiographs were obtained to assess distribution and proximal spread. Results: A volume of 0.3 mL was sufficient to fully reach the intra-articular cavity and potentially induce effective localized anesthesia. When the third common digital plantar nerve was injected in an anatomically healthy region, the contrast medium showed a proximal diffusion pattern extending up to the mid-diaphyseal level of the third and fourth metatarsal bones. On radiographs, the intra-articular infiltration lines appear sharply demarcated, supporting the interpretation of the metatarsophalangeal joint as a sealed compartment. Conclusions: Low intra-articular anesthetic volumes may yield targeted effects, while Morton’s neuroma injections spread proximally, risking loss of diagnostic specificity; this technique may improve decision-making accuracy and reduce failures. Full article

During a survey of the west coast of South Korea, two new Pseudochromadora species were recorded from Yeongjongdo Island. Descriptions of two new species, an updated list of valid species within the genus, a tabular key, partial sequences of mtCOI, near full-length SSU, and the D2–D3 region of LSU rDNA, together with phylogenetic analyses are provided. The two new species are classified as Pseudochromadora based on having a two-portioned cephalic capsule, unispiral amphidial fovea, lateral alae extending from the posterior end of the pharynx as far as the tail, and presence of copulatory thorns, as well as a short conical tail. The two species are distinguished from each other by their different types of labial regions of the cephalic capsule (round-shaped vs. hat-shaped). The two species, despite being found in the same locality, are morphologically and molecularly distinct from one another. Pairwise Kimura 2-parameter (K2P) distances between the two new species were 10.6% (18S) and 27.2% (28S), values consistent with interspecific divergence observed among congeners. Phylogenetic analyses showed both species as distinct lineages within Pseudochromadora. In the 28S rDNA tree, each was retrieved as a well-supported monophyletic clade with congeners, whereas in the 18S tree, all congeners including the two new species formed a single clade, except for P. plurichela, which branched outside the main group. These results highlight potential paraphyly within Pseudochromadora and suggest that overlooked morphological traits may hold phylogenetic significance, warranting further investigation. Full article

Background/Objectives: Adnexal masses are commonly encountered in the routine practice of gynecologists, and transvaginal ultrasonography is the preferred imaging modality for assessing the masses in size and complexity. There has been a notable lack of focus on comparative studies concerning benign adnexal tumors. This study aimed to define and compare the specific morphological and vascular characteristics of ovarian mature cystic teratomas (MCTs) and endometriomas using transvaginal ultrasound and Doppler analysis. Methods: This retrospective analysis included 93 patients who underwent surgical intervention for benign adnexal masses at the Obstetrics and Gynecology Clinic Narodni Front from 1 January 2020 to 1 January 2022. Morphological parameters included the appearance of tumors, the largest diameter, volume, capsule thickness, and the presence of fluid in the pouch of Douglas. Hemodynamic parameters included the localization and quantity of blood vessels within the mass, Resistance Index (RI), peak systolic velocity (Vmax), and end-diastolic velocity (Vmin) within detectable tumor vessels. Flow was also assessed in the uterine arteries, calculating the AURI (uterine artery RI) on both the tumor and contralateral sides. Results: There were 46 patients with ovarian mature cystic teratomas, as well as 46 patients with endometriomas; 1 patient presented with both tumors. There were significant differences in ultrasonographic morphological appearance between the two groups. MCTs most frequently presented as multilocular solid cysts (51.0%) or unilocular solid cysts with hyperechoic content (20.4%). Conversely, the majority of endometriomas were classified as unilocular cysts with ground-glass echogenicity (45.5%). A significant difference was identified in the RI of intracystic vessels and the RI of the ipsilateral uterine artery (AURI). Endometriomas presented elevated RI values (0.57 vs. 0.54, p = 0.04) and reduced AURI (0.81 vs. 0.83, p = 0.02) compared to teratomas. Conclusions: These findings confirm that specific morphological and Doppler parameters, particularly the RI and AURI, can assist in distinguishing between endometriomas and mature cystic teratomas. This suggests a potential role for Doppler analysis in improving diagnostic precision for common benign adnexal tumors in clinical practice. Full article