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Prospective Study of Multiparametric Renal MRI for CKD Progression (AFiRM).

IntroductionChronic kidney disease (CKD) has major population health implications, but current imaging approaches provide limited pathophysiological insights. We designed a study to evaluate renal multiparametric magnetic resonance imaging (MRI; mpMRI) as a tool to improve diagnosis, risk stratification, disease monitoring, and therapeutic decision-making in CKD.MethodsThe application of functional renal MRI to improve assessment of CKD (AFiRM study; NCT04238299) is a multicenter, prospective, observational cohort study in people with CKD. Participants underwent renal mpMRI using the harmonize

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… . 32 , 33 This comprises local machine-learning U-Net segmentation networks to generate masks of renal parenchyma and renal cysts from the T 2 -weighted scan, 34 and whole kidney segmentation (parenchyma, pelvis, and cysts). 35 Parenchyma and whole kidney masks are interrogated for volume and shape radiomics …

Широкие метастазы грудной клетки и стенки грудной клетки в качестве первоначального представления о раке молочной железы: доклад по делу и обзор литературы.

Метастатическое участие костей остается наиболее распространенной формой дальнего метастаза в раке груди, главным образом из-за анатомических и функциональных характеристик грудного позвоночника, ребер и грудины. Эти структуры примечательны высоким содержанием красного костного мозга, богатой сосудистой системы и их связью с венозным сплексом Бэтсона, что способствует их раннему участию в онкологическом распространении. В некоторых случаях многочисленные метастазы в грудном скелете могут представлять собой первое и единственное клиническое проявление недиагностированного злокачественного проце

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… Differentiating between multiple myeloma and metastasis subtypes of lumbar vertebra lesions using machine learning–based radiomics. Front Oncol. (2021) 11:601699. doi: 10.3389/fonc.2021.601699, PMID: 42. Manohar PM, Davidson NE. Updates in endocrine therapy for metastatic breast cancer. …

Metabolism-related ALDH1B1 acts as potential predictor and therapeutic target for primary gastrointestinal diffuse large B-cell lymphoma.

Primary gastrointestinal diffuse large B-cell lymphoma (PGI-DLBCL) is the most common extra-nodal DLBCL. Metabolism-related factors have been associated with tumor progression, but the relationship between abnormal metabolism and prognosis of PGI-DLBCL remains unelucidated. In our study, consensus clustering based on metabolism-related genes classified PGI-DLBCL patients into two metabolic subtypes, and poor prognosis was associated with immunosuppressive microenvironment. A prognostic signature based on five metabolism-related genes (APOE, ALDH6 A1, PLOD2, IKBKB and ALDH1B1) was developed. Pa

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… Jia Y Wan M Shen Y Wang J Luo X He M Bai R Xiao W Zhang X Ruan J Predictive nomogram integrating radiomics and multi-omics for improved prognosis-model in cholangiocarcinoma Clin Transl Med 2025 15 e70171 10.1002/ctm2.70171 39799416 PMC11726632 Jia Y, Wan M, Shen Y, Wang J, Luo X, He M, Bai R, Xiao W … , Zhang X, Ruan J (2025) Predictive nomogram integrating radiomics and multi-omics for improved prognosis-model in cholangiocarcinoma. …

An Overview of Advances in Rare Cancer Diagnosis and Treatment.

Cancer stands as the leading global cause of mortality, with rare cancer comprising 230 distinct subtypes characterized by infrequent incidence. Despite the inherent challenges in addressing the diagnosis and treatment of rare cancers due to their low occurrence rates, several biomedical breakthroughs have led to significant advancement in both areas. This review provides a comprehensive overview of state-of-the-art diagnostic techniques that encompass new-generation sequencing and multi-omics, coupled with the integration of artificial intelligence and machine learning, that have revolutioniz

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… Medical imaging (MRI, CT, PET) and radiomics play a pivotal role in integrated studies of rare cancers. Integrating imaging data with molecular information enhances tumor characterization, assesses size and location, and monitors treatment response. … Radiomics further amplifies the data by analyzing quantitative features extracted from medical images, allowing for a more detailed and personalized assessment of tumor characteristics. …

33rd Annual Meeting & Pre-Conference Programs of the Society for Immunotherapy of Cancer (SITC 2018) : Washington, D.C., USA. 7-11 November 2018.

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Exosomes: innovative biomarkers leading the charge in non-invasive cancer diagnostics.

Exosomes, nanoscale extracellular vesicles secreted by diverse cell types, have emerged as promising biomarkers for non-invasive tumor diagnostics, offering significant advantages over traditional methods. These vesicles, typically ranging from 30 to 150 nanometers in size, carry a diverse cargo of proteins, lipids, RNA, and microRNAs, which reflect the molecular alterations occurring within their parent cells. Notably, exosomes can be isolated from easily accessible biofluids such as blood, urine, and saliva, making them ideal candidates for liquid biopsy applications. This review explores th

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… It is worth noting that, with the continuous advancement of diagnostics, the integration of radiomics and artificial intelligence, particularly PSMA-PET/CT imaging, can significantly enhance the diagnostic accuracy, staging, treatment planning, and outcome prediction for certain cancers 43 . …

Research on predicting the progression of multiple myeloma treated with bortezomib based on multimodal ensemble learning.

BackgroundMultiple myeloma (MM) is a malignancy characterized by abnormal plasma cell proliferation. While bortezomib has improved outcomes, significant individual variability persists. Accurate early prediction of patient progression is crucial for optimizing therapeutic intensity and improving long-term survival. Developing an automated, multimodal prediction model can provide clinicians with a robust tool for personalized prognosis, thereby reducing the burden of ineffective treatments on patients.MethodsWe enrolled 207 newly diagnosed MM (NDMM) patients treated with bortezomib. Based on 2-

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… Development of a novel combined nomogram model integrating deep learning-pathomics, radiomics and immunoscore to predict postoperative outcome of colorectal cancer lung metastasis patients. J Hematol Oncol 2022; 15: 11. 33. Boehm KM, Aherne EA, Ellenson L, et al. …

Head-to-Head Comparison between FDG and 11C-Methionine in Multiple Myeloma: A Systematic Review.

The aim of this systematic review is to provide a comprehensive overview of the existing literature, comparing 18F-fluorodeoxyglucose (FDG) and 11C-methionine (MET) for the imaging of multiple myeloma (MM) with positron emission computed tomography (PET/CT). Relevant studies published from 2013 up to March 2023 were selected by searching Scopus, PubMed, and Web of Science. Selected imaging studies were analyzed using a modified version of the critical Appraisal Skills Programme (CASP). Ten studies encompassing 335 patients were selected. On a patient-based analysis, MET sensitivity ranged betw

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… Radiomics and theranostics with molecular and metabolic probes in prostate cancer: Toward a personalized approach. Expert Rev. Mol. Diagn. 2023;23:243–255. doi: 10.1080/14737159.2023.2192351. 36. Urso L., Frantellizzi V., De Vincentis G., Schillaci O., Filippi L., Evangelista L. …

Clinical applications of antibody-drug conjugates in advanced non-small cell lung cancer.

Lung cancer remains the leading cause of cancer-related incidence and mortality worldwide, with non-small cell lung cancer (NSCLC) constituting the majority of cases. Current treatment modalities are constrained by significant limitations: conventional chemotherapy exhibits poor tumor selectivity and systemic toxicity, while monoclonal antibodies frequently demonstrate inadequate therapeutic efficacy. Antibody-drug conjugates (ADCs)-engineered biotherapeutics comprising tumor-targeting antibodies conjugated to potent cytotoxic agents through optimized linkers-have emerged as a transformative s

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… For optimized patient selection, developing dynamic and robust biomarker systems that integrate multi-omics profiling ( 26 , 84 , 185 , 186 ), artificial intelligence-assisted radiomics, liquid biopsy applications, and advanced molecular imaging technologies will enable precise patient stratification … Patient selection is enhanced through multi-omics biomarkers, AI-assisted radiomics, liquid biopsy, and advanced molecular imaging. Drug design focuses on next-generation targets, bispecific and dual-payload ADCs, and improved antibody, linker, and payload engineering. …

Psychometric Properties of the Persian Self-Advocacy in Cancer Survivorship Scale (SACS-P) in Iran.

BackgroundSelf-advocacy is crucial for cancer patients, as it allows them to express their needs and engage in treatment decisions. This skill enhances the quality of care and life satisfaction. Accurately measuring self-advocacy and supporting patients with lower skills is essential to improving treatment outcomes and promoting patient-centered care. Accurate measurement of self-advocacy is vital for identifying patients with lower skills and providing support to enhance treatment outcomes and patient-centered care. This study aimed to investigate the psychometric properties of the Persian ve

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… G., et al., “Radiomics Feature Reliability Assessed by Intraclass Correlation Coefficient: A Systematic Review,” Quantitative Imaging in Medicine and Surgery 11, no. 10 (2021): 4431–4460, 10.21037/qims-21-86. 39. Costello A. …

Усовершенствованная последовательность транскриптомов и искусственный интеллект/машинное обучение (AI/ML) в имитируемом псориазом воспалении кератиноцитов человека.

ВВЕДЕНИЕ: Несмотря на то, что модель Keratinocyte HaCAT использовалась в предыдущих исследованиях для изучения воздействия антипсориатических агентов, по-прежнему отсутствует полное понимание механизма имитируемого имимодом распространения и трансдукции сигналов в псориазных кератиноцитах. ЦЕЛИ: Данное исследование было направлено на изучение молекулярных механизмов и путей, связанных с воспалением, подобным псориазу, в результате IMQ в кератиноцитах человека. МАТЕРИАЛЫ И МЕТОДЫ: Клетки HACAT подвергались воздействию различных концентраций IMQ, чтобы вызвать воспаление, аналогичное тому, котор

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… Artificial intelligence-driven radiomics in head and neck cancer: current status and future prospects. Int J Med Inf. 2024;188:105464. doi: 10.1016/j.ijmedinf.2024.105464. 76. Molfino NA, Turcatel G, Riskin D. Machine learning approaches to predict asthma exacerbations: a narrative review. …

Case Report: Acute kidney injury due to minimal dilated obstructive nephropathy in the context of gastric cancer.

Postrenal obstruction is a rare but reversible cause of acute kidney injury (AKI), often underrecognized when hydronephrosis is mild or absent. We present a 55-year-old woman with gastric cancer who developed severe AKI requiring hemodialysis. Initial non-contrast abdominal CT revealed only mild bilateral hydronephrosis without obvious ureteral obstruction. Given these subtle radiologic findings and a history of chemotherapy and NSAID exposure. Initially, a multidisciplinary team attributed the AKI to intrinsic renal causes. Subsequent renal biopsy revealed only minimal glomerular changes, ins

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… Radiomics analysis using contrast-enhanced CT for preoperative prediction of occult peritoneal metastasis in advanced gastric cancer. Eur Radiol. (2019) 30:239–46. doi: 10.1007/s00330-019-06368-5, PMID: 47. Kitchlu A, McArthur E, Amir E, Booth CM, Sutradhar R, Majeed H, et al. …

Advancements in metastatic spinal cord compression treatment: a narrative review of innovations, challenges, and future directions.

ObjectiveTo synthesize recent advancements in metastatic spinal cord compression (MSCC) treatment, evaluating their efficacy in improving neurological function, pain relief, survival, and quality of life.BackgroundMSCC is an oncologic emergency caused by the progression of cancer to the spine and is prevalent in approximately 3-5% of all cancer patients, with a relatively higher incidence of breast, prostate, and lung cancers. MSCC can lead to irreversible paralysis due to loss of vital sensory and motor functions, thus requiring an immediate diagnosis and treatment.MethodsA systematic PubMed

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… Machine learning algorithms have been constructed to aid MRI analysis of spinal metastases, such as deep-learning models, which can automatically segment and detect spinal lesions, and radiomics, which can identify which lesions will progress. …

Виртуальная реалити-ческая подготовка по расстройствам похода в болезни Паркинсона: библиометрический и визуальный анализ горячих точек и тенденций с использованием CiteSpace и VOSviewer.

В настоящем исследовании на систематической основе рассматривается нынешнее положение дел, распределение горячих точек и тенденции развития виртуальных реалити-шоу (ВР) в целях совершенствования хитроумных расстройств в болезни Паркинсона. 2008 и 2025 был извлечен из баз данных " Web of Science " , " PubMed " и " CNKI " . В конечном счете, 535 Английский 18 Были включены китайские статьи. CiteSpace и VOSviewer использовались для визуального анализа тома публикаций, сетей сотрудничества (страны, авторы и учреждения), ключевых слов, группирования и вспыльчивых терми

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… Research on ultrasound-based radiomics: a bibliometric analysis . Quant Imaging Med Surg . ( 2024 ) 14 : 4520 – 39 . doi: 10.21037/qims-23-1867 39022291 PMC11250334 20. Yang Q . Comparative study on analysis functions of common bibliometric tools . Inf Explor . ( 2021 ) 41 : 87 – 93 . …

Biomarker-Driven Approaches to Bone Metastases: From Molecular Mechanisms to Clinical Applications.

Bone metastases represent a critical complication in oncology, frequently indicating advanced malignancy and substantially reducing patient quality of life. This review provides a comprehensive analysis of the complex interactions between tumor cells and the bone microenvironment, emphasizing the relevance of the "seed and soil" hypothesis, the RANK/RANKL/OPG signaling axis, and Wnt signaling pathways that collectively drive metastatic progression. The molecular and cellular mechanisms underlying the formation of osteolytic and osteoblastic lesions are examined in detail, with a particular foc

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… Proteomics, radiomic AI models, and next-generation sequencing (NGS) are essential for risk stratification and treatment selection for patients with bone metastases. … For example, by extracting quantitative information from medical images, radiomics helps anticipate how a disease will advance and how well a treatment will work. A more accurate and customized approach to patient treatment is made possible by the integration of these technologies [ 130 ]. 4.3.3. …

MYCN Impact on High-Risk Neuroblastoma: From Diagnosis and Prognosis to Targeted Treatment.

Among childhood cancers, neuroblastoma is the most diffuse solid tumor and the deadliest in children. While to date, the pathology has become progressively manageable with a significant increase in 5-year survival for its less aggressive form, high-risk neuroblastoma (HR-NB) remains a major issue with poor outcome and little survivability of patients. The staging system has also been improved to better fit patient needs and to administer therapies in a more focused manner in consideration of pathology features. New and improved therapies have been developed; nevertheless, low efficacy and high

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… Interestingly, the modern CT-based approach has shown the ability to predict MYCN amplification (MNA) status in neuroblastoma through the generation of radiomics profiles of tumors [ 27 ], highlighting the great potential of this technique. … Radiogenomics of Neuroblastoma in Pediatric Patients: CT-Based Radiomics Signature in Predicting MYCN Amplification. Eur. Radiol. 2021;31:3080–3089. doi: 10.1007/s00330-020-07246-1. 28. Sharp S.E., Parisi M.T., Gelfand M.J., Yanik G.A., Shulkin B.L. Functional-Metabolic Imaging of Neuroblastoma. …

Sarcopenia and fat loss from serial CT predict survival in multiple myeloma patients undergoing stem cell transplantation.

BACKGROUND: Frailty and sarcopenia are associated with adverse outcomes in multiple myeloma (MM), but their longitudinal changes and clinical relevance remain unclear. This study evaluated the longitudinal changes in body composition parameters derived from computed tomography (CT) scans and their association with survival and functional decline in MM patients undergoing autologous stem cell transplantation (ASCT). METHODS: We analyzed 49 MM patients who underwent three sequential CT scans between 2009 and 2024. CT-based body composition parameters-skeletal muscle index (SMI), paraspinal musc

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… Deep learning-based radiomics allows for a more accurate assessment of sarcopenia as a prognostic factor in hepatocellular carcinoma. J Zhejiang Univ Sci B. 2024;25(1):83–90. 26. Sabel MS, et al. Analytic morphometric assessment of patients undergoing colectomy for colon cancer. …

Antibody-drug conjugates in urinary tumors: clinical application, challenge, and perspectives.

Urinary tumors primarily consist of kidney, urothelial, and prostate malignancies, which pose significant treatment challenges, particularly in advanced stages. Antibody-drug conjugates (ADCs) have emerged as a promising therapeutic approach, combining monoclonal antibody specificity with cytotoxic chemotherapeutic payloads. This review highlights recent advancements, opportunities, and challenges in ADC application for urinary tumors. We discuss the FDA-approved ADCs and other novel ADCs under investigation, emphasizing their potential to improve patient outcomes. Furthermore, we explore stra

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… The added value of psma pet/mr radiomics for prostate cancer staging . Eur J Nucl Med Mol Imaging ( 2022 ) 49 ( 2 ): 527–38 . doi: 10.1007/s00259-021-05430-z PMC8803696 34255130 70 Stone L . Psma adc shows promise in advanced disease . …

Искусственный интеллект и машинное обучение в нейрогенной дисфункции нижних мочевых путей и травме спинного мозга: текущее состояние, новые технологии и этические перспективы.

Искусственный интеллект (АИ) и машинное обучение все чаще применяются во всех областях урологии, при этом особое значение придается нейрогенной дисфункции нижних мочевых путей (НЛУТД) у лиц с повреждениями спинного мозга (КВП). Кроме того, существуют особые перспективы в том, что касается лечения NLUTD — сложного, пожизненного состояния, затрагивающего людей с SCI, а также связанного с множественным склерозом, болезнью Паркинсона и другими неврологическими расстройствами. В этой статье содержится всеобъемлющий анализ нынешней и формирующейся роли МА в нейроурологии с уделением особого внимания

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… Trends of "Artificial Intelligence, Machine Learning, Virtual Reality, and Radiomics in Urolithiasis" over the last 30 years (1994-2023) as published in the literature (PubMed): a comprehensive review. J Endourol. (2024) 38:788–98. doi: 10.1089/end.2023.0263 13. …

Spine surgery for metastatic spine cancer in the era of advanced radiation therapy.

Metastatic spine cancer (MSC), a common complication of advanced malignancies, poses significant challenges due to pain, neurological deficits, and mechanical instability. While radiation therapy is a cornerstone of treatment, the role of spine surgery is evolving, fueled by advances in surgical techniques and radiation modalities such as stereotactic body radiation therapy (SBRT). This review examines the evolving role of spine surgery in MSC management, focusing on separation surgery, surgical innovations, and future directions. The treatment paradigm for MSC shifted with the advent of SBRT,