Результаты поиска

Ninth Edition of the Tumor, Node, and Metastasis Classification of Lung Cancer.

This paper reviews the development of the current edition (Ninth) of the Tumor, Node, and Metastasis (TNM) classification of lung cancer. This classification was proposed from the analyses of a global database of 124,581 patients diagnosed between 2011 and 2019 established by The International Association of the Study of Lung Cancer. Overall survival was calculated using the Kaplan-Meier method, and prognosis assessed using multivariable-adjusted Cox proportional hazards regression to guide proposed changes to the Eighth Edition TNM classification. The innovations in the Ninth Edition TNM are:…

[Interdisciplinarity, Evidence and Relevance of Classification for Care in Thoracic Outlet Syndrome].

Thoracic Outlet Syndrome (TOS) refers to the compression of the neurovascular structures at the thoracic outlet. Its incidence is estimated … troneurography, may provide supportive information. Depending on the treating discipline, different classifications and therapeutic strategies are applied. The availability of high-quality studies on treatment remains limited, although evidence has improved in recent years. To date, no standardised, interdisciplinary guidelines for the diagnosis and management o …

Application of the Random Forest Algorithm for Accurate Bipolar Disorder Classification.

Bipolar disorder (BD) is a complex psychiatric condition characterized by alternating episodes of mania and depression, posing significant c … algorithm's capacity to handle complex, noisy datasets while identifying key features relevant for classification. Importantly, the model provided interpretable insights into the physiological markers associated with BD, reinforcing the clinical value of EEG as a diagnostic tool. The findings suggest that RF is a reliable and accessible method for supporting th …

Classification and course of pulmonary hypertension associated with end-stage COPD.

BACKGROUND: Pulmonary hypertension (PH) associated with COPD contributes to morbidity and mortality. Further characterisation to improve management is warranted. The aim of the study was to apply the recently proposed PH classification and to assess the association of lung volume involvement and PH over the course of disease in patients with advanced COPD. METHODS: Patients with COPD undergoing transplant evaluation, including right heart catheterisation were included irrespective of the likelihood of having PH. Spirometry, plethysmography and computed tomography were used to assess the degre…

Classification and regulatory interactions of key transcription factors in COVID-19.

SARS-CoV-2, the virus responsible for COVID-19, interferes with the host's transcriptional control systems, triggering widespread disruption of immune regulation and metabolic stability. Key transcription factors (TFs), including AHR, NRF2, NF-κB, IRFs, HIF-1α, PARP, STAT3, ATF3, and PPARγ, play crucial roles in inflammation, oxidative stress defence, anti-viral responses, and immunometabolic adaptation. Their activity and interactions are modulated by post-translational modifications (PTMs) such as phosphorylation, SUMOylation, and ubiquitination, which shape COVID-19 progression. Specificall

An improved CNN model in image classification application on water turbidity.

Water turbidity is an important indicator for evaluating water clarity and plays an important role in environmental protection and ecological balance. Due to the subtle changes in water turbidity images, the differences captured are often too subtle to be classified. Convolutional neural networks (CNN) are widely used in image classification and perform well in feature extraction and classification. This study explored the application of convolutional neural networks in water turbidity classification. The innovation lies in applying CNN to water turbidity images, focusing on optimizing the CNN…

OrnAsia: A dataset of asian ornaments for image classification and cultural identification.

This article presents a curated dataset comprising 1088 high-resolution original images of six traditional Asian ornaments: Bangles, Rings, Earrings, Tikka, Necklaces, and Payel. The dataset was developed to support the classification and identification of culturally significant jewellery using computer vision and artificial intelligence techniques. All images were captured in real-world settings, including local markets and remote areas of Mirpur, Dhaka, Bangladesh, using smartphone cameras under natural lighting conditions. The collection process ensured variation in lighting angles, perspec…

Classification of Point Cloud Data in Road Scenes Based on PointNet+.

Point cloud data, with its rich information and high-precision geometric details, holds significant value for urban road infrastructure surveying and management. To overcome the limitations of manual classification, this study employs deep learning techniques for automated point cloud feature extraction and classification, achieving high-precision object recognition in road scenes. By integrating the Princeton ModelNet40, ShapeNet, and Sydney Urban Objects datasets, we extracted 3D spatial coordinates from the Sydney Urban Objects Dataset and organized labeled point cloud files to build a comp…

Перспективная систематическая классификация причин смерти в ходе множественной миеломы.

Аннотация не предоставлена источником. Откройте карточку для перехода к публикации.

Совпадение в полном тексте источника
… Similar to other classification systems for COD, the MedDRA system oftentimes does not allow unique COD to SOC matching. This problem has also been observed for comparable classification systems [ 6 ] and has led to potentially obscured COD trends. … A systematic classification of death causes in multiple myeloma. Blood Cancer J. 2018;8:30. 8. Mai EK, Goldschmid H, Miah K, Bertsch U, Besemer B, Hänel M, et al. …

Novel classification and microsurgical anatomy of the basilar artery: a cadaveric study.

PURPOSE: The trunk of the BA remains underrepresented in microsurgical studies. This study aims to address this gap by providing a detailed review of the BA's microsurgical anatomy, proposing a novel segmental classification of the artery and the significance of each segment in various surgical pathologies and approaches. METHODS: A total of 20 cadaveric adult brain specimens were meticulously examined under high magnification, following Institutional Review Board approval. The dissection focused on the BA and its branches, with morphometric data collected, including dimensions and anatomical…

Evidence-based Nomenclature for Classification, Diagnosis, and Management of Infantile Exotropia.

Despite extensive research on clinical characteristics, patient management, and surgical outcomes of intermittent exotropia, there remains significant confusion regarding the nomenclature system for infantile exotropia, which develops before 12 months of age. Additionally, there still is a controversy over whether infantile exotropia represents the phenotypic counterpart of infantile esotropia or early-onset intermittent exotropia. In this article, we critically review the previous nomenclature systems and propose some modifications to the current classifications of infantile exotropia. These …

[Research progress on the classification of sepsis and sepsis-related organ dysfunction].

Sepsis is a life-threatening organ dysfunction syndrome caused by a dysregulated host response to infection. Due to different infection sources, pathogens and basic conditions of patients, there is significant heterogeneity in clinical manifestations, response to treatment and prognosis of patients with sepsis. Accurate classification and individualized treatment of sepsis will help to further improve the prognosis of patients with sepsis. In recent years, the integration of artificial intelligence and bioinformatics has brought new opportunities for the research of sepsis classification. This…

Comparison of Deep Neural Networks for the Classification of Adventitious Lung Sounds.

Background: Automatic adventitious lung sound classification using deep learning is a promising strategy for objective respiratory disease screening. Evaluating model performance is challenging, particularly with imbalanced clinical datasets. This study compares CNN architectures and proposes a dual-stream classification approach. Methods: Using the public ICBHI 2017 dataset, we compared five pre-trained architectures: VGG16, VGG19, InceptionV3, MobileNetV2, and ResNet152V2. To mitigate class imbalance, we implemented pitch shifting, random shifting, and mixup data augmentation. We also develo…

Learnability of the LAHSHAL Classification for Oral Clefts: Results of an International Webinar.

INTRODUCTION: Orofacial clefts are common congenital anomalies with significant physical, emotional, and social challenges. Classification systems like LAHSHAL aim to standardize cleft descriptions, enhancing clinical communication and research. Despite its adoption by the European Reference Network on Craniofacial Anomalies (ERN Cranio), the system's familiarity and learnability among health care providers remain uncertain. METHODS: This study assessed the learnability of LAHSHAL through pre-webinar and post-webinar surveys with 29 cleft care specialists from 11 countries. Participants class…

Esophageal Motility Disorders: A Concise Review on Classification, Diagnosis, and Management.

Esophageal motility disorders (EMDs) are an underrecognized cause of dysphagia and encompass a breadth of conditions, including achalasia, esophagogastric junction outflow obstruction, absent contractility, distal esophageal spasm, hypercontractile esophagus, and ineffective esophageal motility. Whereas patients with EMDs classically present with dysphagia to both solids and liquids, other symptoms such as heartburn, noncardiac chest pain, and regurgitation may also be present. The advent and standardization of high-resolution esophageal manometry by the Chicago Classification have revolutioni…

Associated Coalitions of Tarsal Bones: Review of the Literature and Presentation of a Classification.

Associated coalitions of tarsal bones, either unilateral or bilateral, may be classified to developmental or syndromic types. There are no s … coalition syndromes. This literature review discusses associated coalitions, focusing on anatomical classification, workup, and treatment.

A Simple Working Classification for Effective Surgical Management of Prominent Ears.

Prominent ear or prominauris is the most common congenital deformity of the ear. Children may get bullied in school because of this, and patients usually seek treatment for prominent ears because of psychosocial concerns even though functionally there are no issues. Numerous surgical procedures are described for correction of prominauris but there is no single procedure that gives consistent and satisfying outcomes. There are different classifications proposed but there is no simple classification described that would guide surgeons to better identify the deformity and to make a decision on sp…

A machine learning approach for automated injuries classification on postmortem images.

The application of Artificial Intelligence (AI) in forensic science offers new opportunities for the automated detection of injuries in postmortem analysis. This study focuses on the semantic segmentation of two significant types of injuries-bruises and abrasions. A dataset of postmortem injury images was collected, followed by the development of appropriate data preprocessing and annotation techniques to train and evaluate AI models. Three deep learning architectures-U-Net, FPN, and LinkNe-were implemented, using EfficientNetB3 and ResNet50 as backbone networks. An optimisation strategy was e

Investigation of characteristics and classification for swine vertebral osteomyelitis in South Korea.

BACKGROUND: Vertebral osteomyelitis (VO) is a major cause of condemnation in swine slaughterhouses, leading to economic losses for farmers. This study aimed to investigate the characteristics and classification of VO cases in South Korean slaughterhouses, focusing on their relationship with pyemia and their potential to reduce unnecessary total condemnation. RESULTS: Our findings confirmed that swine VOs are often associated with tail-biting injuries, particularly in the posterior vertebrae, underscoring tail biting as a prominent risk factor. Trueperella pyogenes were the most prevalent amon…