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EANM guidelines on the use of [18F]FDG PET/CT in diagnosis, staging, prognostication, therapy assessment, and restaging of plasma cell disorders.

We provide updated guidance and standards for the indication, acquisition, and interpretation of [18F]FDG PET/CT for plasma cell disorders. Procedures and characteristics are reported and different scenarios for the clinical use of [18F]FDG PET/CT are discussed. This document provides clinicians and technicians with the best available evidence to support the implementation of [18F]FDG PET/CT imaging in routine practice and future research.

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… This type of image analysis, often referred to as “radiomics”, has gained significant interest in the past few years with several studies underscoring the potential of TF. … In smaller cohorts, studies have shown the potential of radiomics to enhance radiological assessment of both focal and diffuse patterns of MM on CT [ 110 ]. Another study showed the potential of radiomics to detect BM MM infiltration on CT scans of patients with low bone mass [ 111 ]. …

Computed tomography-based conventional imaging features and texture analysis characteristics of chemotherapy drug-related acute pancreatitis.

PurposeChemotherapy drug-related acute pancreatitis (CDRAP) is a rare adverse event that poses significant challenges to clinicians. This study aimed to describe plain computed tomography (CT)- and contrast-enhanced computed tomography (CECT)-based conventional imaging features and texture analysis characteristics of CDRAP.MethodsA total of 62 patients with initial clinical and/or biochemical evidence of pancreatitis and 34 patients with normal pancreatic manifestations who underwent CT during chemotherapy were retrospectively included. The diagnosis of CDRAP was established based on clinical,

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… Radiomics and texture analysis are high-throughput techniques used to extract information that helps reflect the microscopic alterations behind macroscopic manifestations ( 30 ). … Differentiating autoimmune pancreatitis from pancreatic ductal adenocarcinoma with ct radiomics features . Diagn Interv Imaging . ( 2020 ) 101 : 555 – 64 . doi: 10.1016/j.diii.2020.03.002 32278586 33. Gillies RJ Kinahan PE Hricak H . Radiomics: images are more than pictures, they are data . …

New genomic and proteomic biomarker discovery in cancer: revolutionizing diagnosis and prognostication.

Cancer remains a major global health challenge, with substantial morbidity and mortality worldwide. Advances in genomic and proteomic biomarker discovery have transformed cancer diagnosis, prognosis, and treatment selection. The evolution from early serological markers such as carcinoembryonic antigen (CEA) and prostate-specific antigen (PSA) to modern multi-omics approaches enabled by next-generation sequencing (NGS), mass spectrometry (MS), and advanced bioinformatics has revolutionized personalized medicine and targeted therapy, leading to improved outcomes. This review highlights the histo

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… A DeepSurv model that combined radiomic and clinical data produced C-index values of 0.74–0.75 and AUCs of 0.73–0.76 at 8, 12, and 24 months [ 67 ]. … An interpretable XGBoost model that included tumor and normal-lung radiomics produced a C-index of 0.76 on external validation in patients with locally advanced lung cancer treated with radiation [ 68 ]. …

Spatiotemperal Dynamics of Osteoarthritis: Преобразование значений от стенда до Бедсайда.

Остеоартрит (OA) представляет собой многогранное дегенеративное совместное расстройство, вызванное различными факторами риска, такими, как возраст, механический стресс, воспаление и метаболическое воздействие. Эти элементы способствуют его разнообразным фенотипам и эндотипам, что подчеркивает имманентную сложность болезни. Участие нескольких тканей и их взаимодействие еще больше осложняет расследование ОА. Нынешние ограничения в области технологий пространственного фенотификации в сочетании со сложной сетью многофакторных взаимодействий препятствуют обнаружению надежных ранних диагностических

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… Radiomics Developing state-of-the-art techniques has propelled radiomics to the forefront of medical image analysis in OA research. Radiomics involves the high-throughput extraction of quantitative imaging features to assist in diagnosis, prognosis, and treatment planning [ 81 , 82 ]. … Another recent study utilised radiomics analysis of patellofemoral joint imaging data from the MOST cohort, demonstrating that integrating radiomics features significantly improved knee replacement risk prediction models (AUC increased from 0.74 to 0.81), highlighting the potential of advanced imaging …

Proceedings of ICIS SGCR-WIRES 2024, held jointly with the 23rd International Cancer Imaging Society Annual Conference, collaborating with the Singapore Radiological Society and College of Radiologists Singapore.

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… Here, we aimed to expand upon pGSN as biomarker by incorporating MRI-based radiomics to improve prediction of chemoresistance in EOC patients. … Conclusions: The multi-parametric MRI-based radiomics model demonstrated favourable performance in preoperative risk stratification of EC, providing information on treatment stratification and prognosis. …

Биомаркеры мультимодального МРТ и машинное обучение по расстройству спектра нейромиелита: обзор.

Нейромиелитное расстройство спектра (NMOSD) — воспроизводящееся воспалительное демиелионирующее заболевание центральной нервной системы, которое может привести к значительной кумулятивной неврологической неполноценности. Магнитный резонансный снимок (MRI) играет центральную роль в обнаружении повреждений, дифференциальной диагностике и продольной оценке. Однако обычные МРТ могут не в полной мере улавливать утончённые повреждения тканей и в клинически двусмысленных случаях могут иметь место значительные переплетения со связанными с ними подстрекательскими демиелионирующими расстройствами. Надеж

Редактор специального выпуска: последние методы и прикладные методы диагностики

Технологии добиваются гигантских успехов и все больше совершенствуют диагностику как частых, так и редких острых и хронических заболеваний [...]

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… Analysis of diagnostic images: Through the enormous potential of radiomics, this can be achieved by a new frontier of medicine based on the extraction of quantitative data from datasets of morphological and functional images of CT or PET/CT exams that cannot be detected by the human eye; the use of these … Radiomics applications in cardiac imaging: A comprehensive review. Radiol. Med. 2023;128:922–933. doi: 10.1007/s11547-023-01658-x. 6. Bakr S., Gevaert O., Echegaray S., Ayers K., Zhou M., Shafiq M., Zheng H., Benson J.A., Zhang W., Leung A.N.C., et al. …

Machine Learning: A New Prospect in Multi-Omics Data Analysis of Cancer.

Cancer is defined as a large group of diseases that is associated with abnormal cell growth, uncontrollable cell division, and may tend to impinge on other tissues of the body by different mechanisms through metastasis. What makes cancer so important is that the cancer incidence rate is growing worldwide which can have major health, economic, and even social impacts on both patients and the governments. Thereby, the early cancer prognosis, diagnosis, and treatment can play a crucial role at the front line of combating cancer. The onset and progression of cancer can occur under the influence of

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… In addition to the above, in recent years, another area of omics called radiomics has been studied in cancer studies. In general, radiomics is the study of data from imaging processes that can provide appropriate and efficient prognostic and diagnostic information about cancer. … For this purpose, they use computed tomography (CT) imaging 79 cancer patients as the radiomics data source. …

Confounder-Matched Deep Learning on Cardiac CT for the Diagnosis of Tetralogy of Fallot: A Proof of Concept.

Background/Objectives: Tetralogy of Fallot (TOF) is the most common cyanotic congenital heart defect, and cardiac computed tomography (CT) i … 6 and nested cross-validation 0.787 ± 0.029; a stronger backbone with multi-phase data, handcrafted radiomics, and a large CT foundation model did not significantly improve on the matched pipeline. Grad-CAM maps were sensitive to both model weights and labels and superior to a centred-blob null in all eight comparisons and significantly so in seven, but not …

Unlocking artificial intelligence, machine learning and deep learning to combat therapeutic resistance in metastatic castration-resistant prostate cancer: a comprehensive review.

Metastatic castration-resistant prostate cancer (mCRPC) remains a formidable clinical challenge despite advancements in therapy. This narrative review explores the role of artificial intelligence (AI), machine learning and deep learning in addressing therapeutic resistance in mCRPC. AI-driven approaches leverage integrated datasets encompassing genomics, proteomics and clinical parameters to uncover molecular mechanisms, predict treatment responses and identify biomarkers of resistance. These methodologies promise personalised treatment strategies tailored to individual patient profiles. Howev

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… Radiomics The field of radiomics, which involves developing computational systems to extract and analyse quantitative features from medical images, holds promise for timely metastasis detection in mCRPC. … Radiomics' ability to analyse texture features from medical imaging offers early detection potential for BM in mCRPC, aiding in treatment planning and prognosis assessment. …

Contemporary Perspectives on Chronic Renal Disorders.

The prevalence of renal diseases and its associated burden on healthcare have tremendously risen in the past few years. From simple markers assessing kidney function, current renal research delves into understanding the diseases at the cellular and molecular levels and not just at treating, but at improving quality of life, arresting progression and providing personalized diagnostics and therapy. This narrative review highlights the improvements in diagnostic applications of kidney disease and briefly discusses a few notable biomarkers emphasizing the high throughput omics technologies, as wel

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… E., and Hricak H., “Radiomics: Images Are More Than Pictures, They Are Data,” Radiology 278, no. 2 (2016): 563–577, 10.1148/radiol.2015151169. 108. … D., Kapur P., and Pedrosa I., “Radiomics in Kidney Cancer,” Magnetic Resonance Imaging Clinics of North America 27, no. 1 (2019): 1–13, 10.1016/j.mric.2018.08.005. 112. …

From undruggable to degradable: A deep learning-enabled framework for precision orthopaedic protein degradation.

BACKGROUND/OBJECTIVE: A fundamental translational impasse in musculoskeletal disorders-from osteoarthritis to bone metastases-is the "undruggability" of critical pathological drivers sequestered within anatomically restricted and avascular skeletal niches. While Targeted Protein Degradation (TPD) offers a revolutionary event-driven modality to eradicate these refractory targets, its clinical translation to orthopaedics is severely hindered by the physicochemical incompatibility of large degraders with dense extracellular matrices and the scarcity of bone-specific E3 ligases. METHODS: In this

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… Multimodal inputs include single-cell and spatial omics atlases, structural models of targets/E3 ligases, degrader chemical libraries, PK/ADMET datasets, clinical imaging/radiomics, and biomechanics/loading information. … Deep learning-based radiomics models extract quantitative features from X-ray, CT, and MRI scans, capturing subtle alterations in trabecular architecture, osteophyte morphology, or cartilage texture [ 49 , 50 ]. …

СНМИКОН 2024 Резюме

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Прогнозирование релапирования и индивидуализированная модель лечения-воздействия при повторном склерозе: систематический обзор.

ВВЕДЕНИЕ: Индивидуальное прогнозирование результатов, связанных с рецидивом, может способствовать отбору и мониторингу лечения при повторном склерозе. Однако существующие исследования существенно отличаются друг от друга по клиническим целям, целевым результатам, подходам к моделированию и стратегиям проверки. МЕТОДЫ: Мы провели систематический обзор в соответствии с ПРИСМА 2020. Пубмед, Web of Science, IEEE Xplore и Scopus были найдены записи на английском языке, опубликованные на английском языке. 1 Январь 2010 в адрес 14 Январь 2026. Были включены исследования по разработке или оценке модел

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… | PET/MR lesion radiomics features, automated lesion segmentation features, selected imaging features | Deep-learning radiomics pipeline Stühler et al. ( 20 ) | Structured clinical data | Age, sex, EDSS, relapse history, treatment history, therapy duration, clinical site | Hierarchical Bayesian modeling … Deep learning-based PET/MR radiomics for the classification of annualized relapse rate in multiple sclerosis . Mult Scler Relat Disord. ( 2023 ) 75 : 104750 . doi: 10.1016/j.msard.2023.104750 37196386 26. Collins GS Moons KGM Dhiman P Riley RD Beam AL Van Calster B . …

Subspecialty Second-Opinion in Multiple Myeloma CT: Emphasis on Clinically Significant Lytic Lesions.

Background and objectives: In order to increase the accuracy of lytic lesion detection in multiple myeloma, a dedicated second-opinion interpretation of medical images performed by subspecialty musculoskeletal radiologists could increase accuracy. Therefore, the purpose of this study is to evaluate the added value (increased accuracy) of subspecialty second-opinion (SSO) consultations for Computed Tomography (CT) examinations in Multiple Myeloma (MM) patients undergoing stem cell transplantation on standard computed tomography with a focus on focal lesion detection. Materials and Methods: Appr

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… However, in MM patients, differentiation between a focal and a diffuse pattern on CT is still difficult even with Radiomics [ 6 ]. … Differentiating diffuse from focal pattern on Computed Tomography in multiple myeloma: Added value of a Radiomics approach. Eur. J. Radiol. 2019;121:108739. doi: 10.1016/j.ejrad.2019.108739. 7. Rajkumar S.V., Dimopoulos M.A., Palumbo A., Blade J., Merlini G., Mateos M. …

Fat Fraction Extracted from Whole-Body Magnetic Resonance (WB-MR) in Bone Metastatic Prostate Cancer: Intra- and Inter-Reader Agreement of Single-Slice and Volumetric Measurements.

BackgroundThis study evaluates the repeatability and reproducibility of fat-fraction percentage (FF%) in whole-body magnetic resonance imaging (WB-MRI) of prostate cancer patients with bone metastatic hormone naive disease.MethodsPatients were selected from the database of a prospective phase-II trial. The treatment response was assessed using the METastasis Reporting and Data System for Prostate (MET-RADS-P). Two operators identified a Small Active Lesion (SAL, ResultsIntra-reader ICC showed high repeatability for both SAL and LAL in a single slice (SS) and volumetric (VS) measurements with v

A SITC vision: adapting clinical trials to accelerate drug development in cancer immunotherapy.

Clinical trials of cancer immunotherapy (IO) were historically based on a drug development paradigm built for chemotherapies. The remarkable clinical activity of programmed cell death protein 1/programmed death ligand 1 blockade, chimeric antigen receptor-T cells, and T cell engagers yielded new insights into how the mechanistic underpinnings of IO are reflected in the clinic. These insights and the sheer number of novel immunotherapies currently in the pipeline have made it clear that our strategies and tools for IO drug development must adapt. Recent innovations like engineered T cells and t

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… For example, radiomic analysis may soon enable a patient enrichment strategy to detect clinical signals, 26 thus accelerating drug development programs. … Emerging methods allow for minimally invasive biomarker assessments and include liquid biopsies, molecular imaging and radiomics. …

The Proceedings of the 19th International Cancer Imaging Society Meeting and Annual Teaching Course : Verona, Italy. 7 - 9 October 2019.

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… Radiomics and machine learning methods have been proposed to extract data from medical images. … Towards Clinical Application of Image Mining: A Systematic Review on Artificial Intelligence and Radiomics. Eur J Nucl Med Mol Imaging. 2019; 10. Yasaka K, Akai H, Abe O, Ohtomo K, Kiryu S. …

Глубокое изучение анализа изображений для множественных склерозов: диагностика и мониторинг.

Множественный склероз (MS) — аутоиммунное заболевание, которое затрагивает различные части центральной нервной системы и часто происходит среди молодежи (между 20-40 возраст). С учетом того, что MS является заболеванием на протяжении всей жизни и что в настоящее время не существует окончательного лечения MS, ранняя диагностика, начало лечения наиболее подходящими лекарствами и наблюдение за пациентами являются: three :: сложные факторы при определении статуса пациентов с НР. Магнитная резонансная съемка (MRI) и оптическая последовательность (OCT) two важных и полезных методов визуализации thre

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… Accordingly, 107 radiomics features and 11 robust features were identified for each lesion. Finally, it was indicated that the formation of active plaques can be estimated with high accuracy based on the identified features ( 71 ). … Introducing radiomics model to predict active plaque in multiple sclerosis patients using magnetic resonance images. Biomed Phys Eng Express. 2023;9:055004. doi: 10.1088/2057-1976/ace261. 72. Bebo B, Cintina I, LaRocca N, et al. …

Understanding and Managing Fracture Risk in Patients With Cancer: A Literature Review.

One of the most important complications of cancer and its treatments is the increased fracture risk. Fractures can have a significant impact on the patient's quality of life and may be associated with morbidity, mortality, and reduced functional status. The present study aims to investigate the mechanisms underlying the increased risk of fractures in cancer patients, the effect of cancer treatments on fracture risk, and strategies to prevent fractures in this population. This is a literature review using the PubMed - National Center for Biotechnology Information (NCBI), Web of Science, Cochran