keyword
https://read.qxmd.com/read/38530498/predicting-microvascular-invasion-in-small-%C3%A2-%C3%A2-5%C3%A2-cm-hepatocellular-carcinomas-using-radiomics-based-peritumoral-analysis
#21
JOURNAL ARTICLE
Fang Wang, Ming Cheng, Binbin Du, Jing Li, Liming Li, Wenpeng Huang, Jianbo Gao
OBJECTIVE: We assessed the predictive capacity of computed tomography (CT)-enhanced radiomics models in determining microvascular invasion (MVI) for isolated hepatocellular carcinoma (HCC) ≤ 5 cm within peritumoral margins of 5 and 10 mm. METHODS: Radiomics software was used for feature extraction. We used the least absolute shrinkage and selection operator (LASSO) algorithm to establish an effective model to predict patients' preoperative MVI status...
March 26, 2024: Insights Into Imaging
https://read.qxmd.com/read/38530157/model-agnostic-explanations-for-survival-prediction-models
#22
JOURNAL ARTICLE
Krithika Suresh, Carsten Görg, Debashis Ghosh
Advanced machine learning methods capable of capturing complex and nonlinear relationships can be used in biomedical research to accurately predict time-to-event outcomes. However, these methods have been criticized as "black boxes" that are not interpretable and thus are difficult to trust in making important clinical decisions. Explainable machine learning proposes the use of model-agnostic explainers that can be applied to predictions from any complex model. These explainers describe how a patient's characteristics are contributing to their prediction, and thus provide insight into how the model is arriving at that prediction...
March 26, 2024: Statistics in Medicine
https://read.qxmd.com/read/38529651/prediction-of-lymphovascular-space-invision-in-endometrial-cancer-based-on-multi-parameter-mri-radiomics-model
#23
JOURNAL ARTICLE
Jin Jun Wang, Xiao Hong Zhang, Xing Hua Guo, Yang Ying, Xiang Wang, Zhong Hua Luan, Wei Qin Lv, Peng Fei Wang
UNLABELLED: <p>Objective: To explore the application value of a combined model based on multi-parameter MRI radiomics and clinical features in preoperative prediction of lymphatic vascular space invasion (LVSI) in endometrial carcinoma (EC). METHODS: This retrospective study collected the clinicopathological and imaging data of 218 patients with EC in Yuncheng Central Hospital from March 2018 to May 2022. The patients were randomly divided into training group (n=152) and validation group (n= 66) according to the ratio of 7: 3...
March 19, 2024: Current medical imaging
https://read.qxmd.com/read/38529388/cost-effective-prognostic-evaluation-of-breast-cancer-using-a-star-nomogram-model-based-on-routine-blood-tests
#24
JOURNAL ARTICLE
Caibiao Wei, Yihua Liang, Dan Mo, Qiumei Lin, Zhimin Liu, Meiqin Li, Yuling Qin, Min Fang
BACKGROUND: Breast cancer (BC) is the most common and prominent deadly disease among women. Predicting BC survival mainly relies on TNM staging, molecular profiling and imaging, hampered by subjectivity and expenses. This study aimed to establish an economical and reliable model using the most common preoperative routine blood tests (RT) data for survival and surveillance strategy management. METHODS: We examined 2863 BC patients, dividing them into training and validation cohorts (7:3)...
2024: Frontiers in Endocrinology
https://read.qxmd.com/read/38528549/nomogram-for-customized-recurrence-prediction-in-primary-non-muscle-invasive-bladder-cancer-based-on-routine-blood-and-urine-parameters
#25
JOURNAL ARTICLE
Yi He, Chenxi Pan, Yue Zhang, Meihong Lv, Bo Yang
PURPOSE: A prevalent condition with a high probability of recurrence, non-muscle invasive bladder cancer (NMIBC) necessitates lifetime surveillance. In patients with pathologically confirmed NMIBC, our goal was to create a unique nomogram to predict recurrence after transurethral resection of bladder tumor (TURBT). METHODS: Our institution's 91 NMIBC patients with complete follow-up data between January 2017 and February 2021 were included in the retrospective analysis...
March 25, 2024: BMC Urology
https://read.qxmd.com/read/38528469/a-nomogram-model-for-predicting-intramyocardial-hemorrhage-post-pci-based-on-syntax-score-and-clinical-features
#26
JOURNAL ARTICLE
Yin-Shuang Yang, De-Yang Xi, Yang Duan, Miao Yu, Kai Liu, Yan-Kai Meng, Chun-Feng Hu, Shu-Guang Han, Kai Xu
OBJECTIVE: The aim of this study is to develop a nomogram model for predicting the occurrence of intramyocardial hemorrhage (IMH) in patients with Acute Myocardial Infarction (AMI) following Percutaneous Coronary Intervention (PCI). The model is constructed utilizing clinical data and the SYNTAX Score (SS), and its predictive value is thoroughly evaluated. METHODS: A retrospective study was conducted, including 216 patients with AMI who underwent Cardiac Magnetic Resonance (CMR) within a week post-PCI...
March 25, 2024: BMC Cardiovascular Disorders
https://read.qxmd.com/read/38527923/preoperative-risk-prediction-models-for-acute-kidney-injury-after-noncardiac-surgery-an-independent-external-validation-cohort-study
#27
JOURNAL ARTICLE
Xiao-Yu Zhuo, Shao-Hui Lei, Lan Sun, Ya-Wen Bai, Jiao Wu, Yong-Jia Zheng, Ke-Xuan Liu, Wei-Feng Liu, Bing-Cheng Zhao
BACKGROUND: Numerous models have been developed to predict acute kidney injury (AKI) after noncardiac surgery, yet there is a lack of independent validation and comparison among them. METHODS: We conducted a systematic literature search to review published risk prediction models for AKI after noncardiac surgery. An independent external validation was performed using a retrospective surgical cohort at a large Chinese hospital from January 2019 to October 2022. The cohort included patients undergoing a wide range of noncardiac surgeries with perioperative creatinine measurements...
March 24, 2024: British Journal of Anaesthesia
https://read.qxmd.com/read/38527848/development-and-validation-of-a-nomogram-for-prognosis-prediction-in-patients-with-synchronous-primary-thyroid-and-breast-cancer-based-on-seer-database
#28
JOURNAL ARTICLE
Miao Huo, Jianfei Zhang, Minna Hou, Jianhui Li, Ning Bai, Ruifen Xu, Jiao Guo
This study aimed to develop prognostic prediction models for patients diagnosed with synchronous thyroid and breast cancer (TBC). Utilizing the SEER database, key predictive factors were identified, including T stage of thyroid cancer, T stage of breast cancer, M stage of breast cancer, patient age, thyroid cancer surgery type, and isotope therapy. A nomogram predicting 5-year and 10-year survival rates was constructed and validated, exhibiting strong performance (C-statistic: 0.79 in the development cohort (95% CI: 0...
March 25, 2024: Cancer Investigation
https://read.qxmd.com/read/38527297/development-and-validation-of-a-deep-learning-system-for-detection-of-small-bowel-pathologies-in-capsule-endoscopy-a-pilot-study-in-a-singapore-institution
#29
JOURNAL ARTICLE
Bochao Jiang, Michael Dorosan, Justin Wen Hao Leong, Marcus Eng Hock Ong, Sean Shao Wei Lam, Tiing Leong Ang
INTRODUCTION: Deep learning models can assess the quality of images and discriminate among abnormalities in small bowel capsule endoscopy (CE), reducing fatigue and the time needed for diagnosis. They serve as a decision support system, partially automating the diagnosis process by providing probability predictions for abnormalities. METHODS: We demonstrated the use of deep learning models in CE image analysis, specifically by piloting a bowel preparation model (BPM) and an abnormality detection model (ADM) to determine frame-level view quality and the presence of abnormal findings, respectively...
March 1, 2024: Singapore Medical Journal
https://read.qxmd.com/read/38526927/definition-frequency-and-risk-factors-for-intra-operative-spinal-cord-injury-a-knowledge-synthesis
#30
JOURNAL ARTICLE
Michael G Fehlings, Ayesha Quddusi, Andrea C Skelly, Erika D Brodt, Ali Moghaddamjou, Anahita Malvea, Nader Hejrati, Nisaharan Srikandarajah, Mohammed Ali Alvi, Shay Stabler-Morris, Joseph R Dettori, Lindsay A Tetreault, Nathan Evaniew, Brian K Kwon
STUDY DESIGN: Mixed-methods approach. OBJECTIVES: Intra-operative spinal cord injury (ISCI) is a devastating complication of spinal surgery. Presently, a uniform definition for ISCI does not exist. Consequently, the reported frequency of ISCI and important risk factors vary in the existing literature. To address these gaps in knowledge, a mixed-methods knowledge synthesis was undertaken. METHODS: A scoping review was conducted to review the definitions used for ISCI and to ascertain the frequency of ISCI...
March 2024: Global Spine Journal
https://read.qxmd.com/read/38526620/enhancing-recurrence-risk-prediction-for-bladder-cancer-using-multi-sequence-mri-radiomics
#31
JOURNAL ARTICLE
Guoqiang Yang, Jingjing Bai, Min Hao, Lu Zhang, Zhichang Fan, Xiaochun Wang
OBJECTIVE: We aimed to develop a radiomics-clinical nomogram using multi-sequence MRI to predict recurrence-free survival (RFS) in bladder cancer (BCa) patients and assess its superiority over clinical models. METHODS: A retrospective cohort of 229 BCa patients with preoperative multi-sequence MRI was divided into a training set (n = 160) and a validation set (n = 69). Radiomics features were extracted from T2-weighted images, diffusion-weighted imaging, apparent diffusion coefficient, and dynamic contrast-enhanced images...
March 25, 2024: Insights Into Imaging
https://read.qxmd.com/read/38526594/validation-of-the-2018-figo-staging-system-for-stage-iiic-cervical-cancer-by-determining-the-metabolic-and-radiomic-heterogeneity-of-primary-tumors-based-on-18-f-fdg-pet-ct
#32
JOURNAL ARTICLE
Yun Zhang, Yuxiao Hu, Shuang Zhao, Shanshan Xu
PURPOSE: This study aimed to validate the 2018 FIGO staging system of cervical cancer (CC) by determining the metabolic and radiomic heterogeneity of primary tumors between stage IIIC1 and IIIC2. METHODS: 168 patients with squamous cell CC underwent pre-treatment fluorine-18 fluorodeoxyglucose positron emission computed tomography (18 F-FDG PET/CT) and were randomly allocated to training and testing cohorts with a 7:3 ratio. Radiomics features were extracted from the primary tumors based on CT and PET data...
March 25, 2024: Abdominal Radiology
https://read.qxmd.com/read/38525188/advanced-detection-of-coronary-artery-disease-via-deep-learning-analysis-of-plasma-cytokine-data
#33
JOURNAL ARTICLE
Muhammad Shoaib, Ahmad Junaid, Ghassan Husnain, Mansoor Qadir, Yazeed Yasin Ghadi, S S Askar, Mohamed Abouhawwash
The 2017 World Health Organization Fact Sheet highlights that coronary artery disease is the leading cause of death globally, responsible for approximately 30% of all deaths. In this context, machine learning (ML) technology is crucial in identifying coronary artery disease, thereby saving lives. ML algorithms can potentially analyze complex patterns and correlations within medical data, enabling early detection and accurate diagnosis of CAD. By leveraging ML technology, healthcare professionals can make informed decisions and implement timely interventions, ultimately leading to improved outcomes and potentially reducing the mortality rate associated with coronary artery disease...
2024: Frontiers in Cardiovascular Medicine
https://read.qxmd.com/read/38524234/circulating-mir-129-3p-in-combination-with-clinical-factors-predicts-vascular-calcification-in-hemodialysis-patients
#34
JOURNAL ARTICLE
Jingjing Jin, Meijuan Cheng, Xueying Wu, Haixia Zhang, Dongxue Zhang, Xiangnan Liang, Yuetong Qian, Liping Guo, Shenglei Zhang, Yaling Bai, Jinsheng Xu
BACKGROUND: Vascular calcification (VC) commonly occurs and seriously increases the risk of cardiovascular events and mortality in patients with hemodialysis. For optimizing individual management, we will develop a diagnostic multivariable prediction model for evaluating the probability of VC. METHODS: The study was conducted in four steps. First, identification of miRNAs regulating osteogenic differentiation of vascular smooth muscle cells (VSMCs) in calcified condition...
March 2024: Clinical Kidney Journal
https://read.qxmd.com/read/38524178/construction-and-validation-of-a-machine-learning-model-for-the-diagnosis-of-juvenile-idiopathic-arthritis-based-on-fecal-microbiota
#35
JOURNAL ARTICLE
Jun-Bo Tu, Wei-Jie Liao, Si-Ping Long, Meng-Pan Li, Xing-Hua Gao
PURPOSE: Human gut microbiota has been shown to be significantly associated with various inflammatory diseases. Therefore, this study aimed to develop an excellent auxiliary tool for the diagnosis of juvenile idiopathic arthritis (JIA) based on fecal microbial biomarkers. METHOD: The fecal metagenomic sequencing data associated with JIA were extracted from NCBI, and the sequencing data were transformed into the relative abundance of microorganisms by professional data cleaning (KneadData, Trimmomatic and Bowtie2) and comparison software (Kraken2 and Bracken)...
2024: Frontiers in Cellular and Infection Microbiology
https://read.qxmd.com/read/38524123/association-of-composite-dietary-antioxidant-index-with-prevalence-of-stroke-insights-from-nhanes-1999-2018
#36
JOURNAL ARTICLE
Tian-Qi Teng, Jing Liu, Fang-Fang Hu, Qing-Qing Li, Zhen-Zhu Hu, Yu Shi
BACKGROUND: There is a growing acknowledgment of the potential influence of antioxidative effects resulting from dietary decisions on the occurrence of stroke. The objective of this study was to elucidate the correlation between the composite dietary antioxidant index (CDAI) and the incidence of stroke in the general population of the United States. METHODS: We gathered cross-sectional data encompassing 40,320 participants from the National Health and Nutrition Examination Survey (NHANES) spanning the years 1999 to 2018...
2024: Frontiers in Immunology
https://read.qxmd.com/read/38523520/a-radiomics-clinical-nomogram-based-on-ct-radiomics-to-predict-acquired-t790m-mutation-status-in-non-small-cell-lung-cancer-patients
#37
JOURNAL ARTICLE
Wanrong Xiong, Xiufang Yu, Tong Zhou, Huizhen Huang, Zhenhua Zhao, Ting Wang
OBJECTIVE: To develop and validate a radiomics-clinical nomogram for the detection of the acquired T790M mutation in patients with advanced non-small cell lung cancer (NSCLC) with resistance after the duration of first-line epidermal growth factor receptor (EGFR)-tyrosine kinase inhibitor (TKI) treatment. MATERIALS AND METHODS: Thoracic CT was collected from 120 advanced NSCLC patients who suffered progression on first- or second-generation TKIs. Radiomics signatures were retrieved from the entire tumor...
March 22, 2024: Current medical imaging
https://read.qxmd.com/read/38523472/central-precocious-puberty-in-boys-secular-trend-and-clinical-features
#38
JOURNAL ARTICLE
Heta Huttunen, Juho Kärkinen, Tero Varimo, Päivi J Miettinen, Taneli Raivio, Matti Hero
OBJECTIVE: Recent studies suggest that boys enter puberty at a younger age, and the incidence of male central precocious puberty (CPP) is increasing. In this study, we explore the incidence of male CPP and identify key clinical and auxological indicators for organic CPP (OCPP). DESIGN: A retrospective registry-based study. METHODS: The medical records of 43 boys treated with CPP at the Helsinki University Hospital between 1985 and 2014 were reviewed...
March 2, 2024: European Journal of Endocrinology
https://read.qxmd.com/read/38523256/evaluation-of-the-european-society-of-cardiology-esc-risk-assessment-score-in-incident-systemic-sclerosis-associated-pulmonary-arterial-hypertension-ssc-pah
#39
JOURNAL ARTICLE
Zoe Brown, Dylan Hansen, Wendy Stevens, Nava Ferdowsi, Laura Ross, Alannah Quinlivan, Joanne Sahhar, Gene-Siew Ngian, Diane Apostolopoulos, Jennifer G Walker, Susanna Proudman, Gim Gee Teng, Andrea Hl Low, Kathleen Morrisroe, Mandana Nikpour
OBJECTIVE: Pulmonary arterial hypertension (PAH) patients may be stratified as low, intermediate, or high risk of 1-year mortality. In 2022, the European Society of Cardiology (ESC) updated and simplified its risk stratification tool, based on three variables: WHO functional class (FC), serum N-terminal pro-brain type natriuretic peptide (NT-proBNP) and six-minute walk distance (6MWD)), applied at follow up visits, intended to guide therapy over time. METHODS: We applied the 2022 ESC risk assessment tool at baseline and follow up (within two years) to a multinational incident cohort of systemic sclerosis-associated PAH (SSc-PAH)...
March 24, 2024: Arthritis Care & Research
https://read.qxmd.com/read/38523224/from-pixels-to-prognosis-imaging-biomarkers-for-discrimination-and-outcome-prediction-of-pulmonary-embolism-original-research-article
#40
JOURNAL ARTICLE
Jennifer Gotta, Leon D Gruenewald, Simon S Martin, Christian Booz, Scherwin Mahmoudi, Katrin Eichler, Tatjana Gruber-Rouh, Teodora Biciusca, Philipp Reschke, Lisa-Joy Juergens, Melis Onay, Eva Herrmann, Jan-Erik Scholtz, Christof M Sommer, Thomas J Vogl, Vitali Koch
PURPOSE: Recent advancements in medical imaging have transformed diagnostic assessments, offering exciting possibilities for extracting biomarker-based information. This study aims to investigate the capabilities of a machine learning classifier that incorporates dual-energy computed tomography (DECT) radiomics. The primary focus is on discerning and predicting outcomes related to pulmonary embolism (PE). METHODS: The study included 131 participants who underwent pulmonary artery DECT angiography between January 2015 and March 2022...
March 25, 2024: Emergency Radiology
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