Результаты поиска

Разрывы Фемура в травматизме Спинала Корда.

У лиц, получивших травму спинного мозга (КВП), происходит быстрая и глубокая потеря костей ниже уровня повреждения, предвосхищая их хрупкими трещинами. Ввиду их частотности и клинического воздействия бедренная хрупкость у пациентов СКИ требует особого внимания. Цель этого обзора литературы состоит в обобщении текущих данных об эпидемиологии, патофизиологии, диагностике, управлении и предотвращении бедренной хрупкости у пациентов СКИ. Был проведен всеобъемлющий поиск литературы в базах данных анализа медицинской литературы и системы ретровиваля в онлайновом режиме (MedLINE) и сводного индекса м

Advances in MALDI Mass Spectrometry Imaging Single Cell and Tissues.

Compared with conventional optical microscopy techniques, mass spectrometry imaging (MSI) or imaging mass spectrometry (IMS) is a powerful, label-free analytical technique, which can sensitively and simultaneously detect, quantify, and map hundreds of biomolecules, such as peptides, proteins, lipid, and other organic compounds in cells and tissues. So far, although several soft ionization techniques, such as desorption electrospray ionization (DESI) and secondary ion mass spectrometry (SIMS) have been used for imaging biomolecules, matrix-assisted laser desorption/ionization (MALDI) is still t

Construction for the predictive model of quality of life in patients after robot-assisted radical prostatectomy: a cohort study.

Background: Urinary incontinence (UI) and erectile dysfunction (ED) often arise as frequent postoperative complications following robotic-assisted radical prostatectomy (RARP) for prostate cancer (PCa). These issues can significantly diminish patients' quality of life (QoL). The assessment of QoL is even more important because treatment decisions may be influenced by the expected QoL. Few studies have integrated the clinical profiles of patients with magnetic resonance imaging (MRI) metrics to assess postoperative UI and ED. Methods: PCa patients treated with RARP between January 2018 and Sept

Abstracts 12th PCNE working conference 'Partnering for better patient outcomes: challenges and opportunities 3-6 February 2021, University of Basel, Switzerland (was held online).

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Совпадение в полном тексте источника
… MeSH terms used were: “decision support systems, management”, “decision support techniques”, “decision support systems, clinical”, “clinical pharmacy information systems” and “decision making, computer-assisted”. …

Applications of Neural Network-Based Plan-Cancer Method for Primary Diagnosis of Mesothelioma Cancer.

"Malignant mesothelioma (MM)" is an uncommon although fatal form of cancer. The proper MM diagnosis is crucial for efficient therapy and has significant medicolegal implications. Asbestos is a carcinogenic material that poses a health risk to humans. One of the most severe types of cancer induced by asbestos is "malignant mesothelioma." Prolonged shortness of breath and continuous pain are the most typical symptoms of the condition. The importance of early treatment and diagnosis cannot be overstated. The combination "epithelial/mesenchymal appearance of MM," however, makes a definite diagnosi

Oral Complications in Cancer Patients-Medication-Related Osteonecrosis of the Jaw (MRONJ).

Medication-Related Osteonecrosis of the Jaw (MRONJ) was first reported in 2003. Despite the progress in the understanding of this oral complication in cancer patients for the past 18 years, there is still discussion about the best way to define MRONJ, prevent the complication, how to diagnose, and the options of treatment available. The initial reports associated MRONJ to bisphosphonates and denosumab, medications that work as bone-modifying agents. Later, other agents such as the antiangiogenics, have also been reported to cause the oral complication, either alone or in combination with antir

Truthfulness in patient-reported outcomes: factors affecting patients' responses and impact on data quality.

The use of patient-reported outcome (PRO) measures in research and clinical care has expanded dramatically, reflective of an increasing recognition of patient-centeredness as an important aspect of high-quality health care. Given this rapid expansion, ensuring that data collected using PRO measures is of high quality is crucial for their continued successful application. Because of the subjective nature of the outcomes assessed, there are many factors that may influence patients' responses and thus challenge the overall quality of the data. In this review, we discuss the multiple factors that

Suicide after a Diagnosis of Cancer: Follow-Up of 1.4 Million Individuals, 2009-2019.

Background: The study explores whether Polish cancer patients face elevated suicide risk, emphasizing the vital need to comprehend and mitigate their unique mental health struggles. Methods: We conducted a cohort study based on Polish National Cancer Registry data (diagnosis in 2009-2019). Age-, sex-, and year-standardized mortality ratios (SMR) are presented with 95% confidence intervals (CIs) overall and by sex. Results: The study included 1.43 million individuals diagnosed with cancer. There were 830 suicide cases in this group. The overall SMR for suicide was 1.34 (95% CI 1.25-1.43). The h

Advances in Leukemia detection and classification: A Systematic review of AI and image processing techniques.

BACKGROUND: Leukemia, a heterogeneous group of blood cancers, poses significant challenges to global health due to its complexity, diverse risk factors, and variable outcomes. Accurate and early diagnosis is critical but remains a significant hurdle, particularly in low-resource settings. Recent advancements in artificial intelligence (AI) and image processing offer transformative solutions to improve leukemia detection and classification, addressing limitations in traditional diagnostic methods. METHODS: This study systematically reviewed over 25,000 scientific articles sourced from Scopus,

Understanding the Treatment Preferences of People Living with Schizophrenia in Australia; A Patient Value Mapping Study.

PurposeTo examine the treatment and long-term outcome preferences for people living with schizophrenia.Patients and methodsSixty-six Australian adults, living with schizophrenia completed a novel online survey with six sections: Demographic characteristics; Disease history; Quality-of-life; Patient support programmes; Discrete Choice Experiment, and Best-Worst Scaling exercise.ResultsParticipants indicated that they preferred to be involved in treatment decision with their doctor. A minority of participants reported having been previously involved in a patient support programme (28.8%) and onl

2023 Scientific Session of the Society of American Gastrointestinal and Endoscopic Surgeons (SAGES), Montréal, Canada, 19 March–April 1 2023: Posters

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Материалы Международного общества по картированию раковых заболеваний (ИСИС) 18th Ежегодный учебный курс: Ментон, Франция. 7-9 октябрь 2018

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СНМИКОН 2024 Резюме

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Diagnostic Performance of Machine Learning for Systemic Lupus Erythematosus: Systematic Review and Meta-Analysis.

BACKGROUND: Early and accurate diagnosis of systemic lupus erythematosus (SLE) and its organ involvement is essential. Previous reviews of machine learning (ML) in SLE combined heterogeneous tasks and validation strategies and may have overinterpreted model performance. OBJECTIVE: This study evaluated the diagnostic performance of ML and deep learning (DL) models for 3 clinically distinct SLE-related tasks: SLE classification or diagnosis, lupus nephritis (LN) diagnosis, and neuropsychiatric systemic lupus erythematosus (NPSLE) discrimination. We also assessed methodological quality and certa

Artificial Intelligence for Risk Stratification in Diffuse Large B-Cell Lymphoma: A Systematic Review of Classification Models and Predictive Performances.

Background: Diffuse large B-cell lymphoma (DLBCL) is a biologically heterogeneous malignancy, with various outcomes despite significant advances in therapeutic options. Current conventional prognostic tools, e.g., the International Prognostic Index (IPI), lack sufficient precision at an individual patient level. However, artificial intelligence (AI), including machine learning (ML) and deep learning (DL), can enable specialists to navigate complex datasets, with the final aim of improving prognostic models for DLBCL. Objectives: This scoping review aims to systematically map the current litera

Fibula flap versus soft tissue flap with reconstruction plate for mandibular stage 3 medication-related osteonecrosis of the jaw: a retrospective cohort study.

BACKGROUND: With the increasing incidence of medication-related osteonecrosis of the jaw (MRONJ), the choice of reconstruction method for mandibular stage 3 MRONJ remains controversial. This study aimed to compare the outcomes of fibula flap (FF) and soft tissue flap with reconstruction plate (SR) in patients with mandibular stage 3 MRONJ. METHODS: This retrospective cohort study included patients diagnosed with mandibular stage 3 MRONJ who underwent reconstruction between September 2018 and May 2024. Patients were categorized into the FF and SR groups. Demographic and general characteristics,

Facing financial barriers to healthcare: patient-informed adaptation of a conceptual framework for adults with a history of cancer.

BackgroundCancer-related financial hardship is associated with negative clinical outcomes, which may be partially explained by cost-related delayed or forgone care in response to financial barriers. We sought to understand patient experiences facing financial barriers to medical care following a cancer diagnosis.MethodsWe conducted virtual, semi-structured interviews in Fall 2022 with 20 adults with a history of cancer who had experienced cancer-related financial hardship in the prior year. We used template analysis within a pragmatic paradigm, combining constructivist and critical realist the

Более широкие соображения в отношении интеграции медицинских и стоматологических данных

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ESMO / ASCO Recommendations for a Global Curriculum in Medical Oncology Edition 2016.

The European Society for Medical Oncology (ESMO) and the American Society of Clinical Oncology (ASCO) are publishing a new edition of the ESMO/ASCO Global Curriculum (GC) thanks to contribution of 64 ESMO-appointed and 32 ASCO-appointed authors. First published in 2004 and updated in 2010, the GC edition 2016 answers to the need for updated recommendations for the training of physicians in medical oncology by defining the standard to be fulfilled to qualify as medical oncologists. At times of internationalisation of healthcare and increased mobility of patients and physicians, the GC aims to p

Потенциал CfDNA в качестве биомаркера: возможности и проблемы, связанные с нейродегенеративными заболеваниями.

Нейродегенеративные расстройства, включая болезнь Альцгеймера (AD), болезнь Паркинсона (PD), множественный склероз (MS) и амиотропический боковой склероз (ALS), характеризуются постепенным и постепенным дегенерацией нейронов. Показатели распространенности и распространенности этих заболеваний с возрастом значительно возрастают. Поскольку продолжительность жизни во многих странах продолжает увеличиваться, ожидается, что в обозримом будущем число таких случаев возрастет. Ранняя и точная диагностика, наряду с надлежащим наблюдением, по-прежнему сопряжена с трудностями. Высокая неоднородность нейр