Predicting abnormal epicardial adipose tissue in psoriasis patients by integrating radiomics from non-contrast chest CT with serological biomarkers
Sign Up to like & getrecommendations! Published in 2025 at "BMC Medical Imaging"
DOI: 10.1186/s12880-025-01755-5
Abstract: Psoriasis patients frequently present with cardiovascular comorbidities, which maybe associated with abnormal epicardial adipose tissue (EAT). This study aimed to evaluate the predictive value of radiomics features derived from non-contrast chest CT (NCCT) combined with… read more here.
Keywords: abnormal epicardial; psoriasis patients; epicardial adipose; rad score ... See more keywords
CT-based radiomics combined with hematologic parameters for survival prediction in locally advanced esophageal cancer patients receiving definitive chemoradiotherapy
Sign Up to like & getrecommendations! Published in 2024 at "Insights into Imaging"
DOI: 10.1186/s13244-024-01647-2
Abstract: The purpose of this study was to investigate the prognostic significance of radiomics in conjunction with hematological parameters in relation to the overall survival (OS) of individuals diagnosed with esophageal squamous cell carcinoma (ESCC) following… read more here.
Keywords: hematologic parameters; locally advanced; rad score; model ... See more keywords
Predictive modeling based on radiomics and hematological parameters for recurrence-free survival after curative resection in patients with hepatocellular carcinoma.
Sign Up to like & getrecommendations! Published in 2025 at "Journal of Clinical Oncology"
DOI: 10.1200/jco.2025.43.16_suppl.e16280
Abstract: e16280 Background: Early recurrence following curative resection represents a significant challenge in the management of hepatocellular carcinoma (HCC). Identifying patients at high risk of recurrence is crucial, enabling timely implementation of appropriate interventions postoperatively. This… read more here.
Keywords: risk; curative resection; rad score; model ... See more keywords
Prediction of Microsatellite Instability in Colorectal Cancer Using a Machine Learning Model Based on PET/CT Radiomics
Sign Up to like & getrecommendations! Published in 2023 at "Yonsei Medical Journal"
DOI: 10.3349/ymj.2022.0548
Abstract: Purpose We investigated the feasibility of preoperative 18F-fluorodeoxyglucose (FDG) positron emission tomography (PET)/computed tomography (CT) radiomics with machine learning to predict microsatellite instability (MSI) status in colorectal cancer (CRC) patients. Materials and Methods Altogether, 233… read more here.
Keywords: msi status; rad score; machine learning; microsatellite instability ... See more keywords
Preoperative prediction of residual back pain after vertebral augmentation for osteoporotic vertebral compression fractures: Initial application of a radiomics score based nomogram
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Endocrinology"
DOI: 10.3389/fendo.2022.1093508
Abstract: Background Most patients with osteoporotic vertebral compression fracture (OVCF) obtain pain relief after vertebral augmentation, but some will experience residual back pain (RBP) after surgery. Although several risk factors of RBP have been reported, it… read more here.
Keywords: rad score; osteoporotic vertebral; prediction; preoperative prediction ... See more keywords
A Combined Nomogram Model to Predict Disease-free Survival in Triple-Negative Breast Cancer Patients With Neoadjuvant Chemotherapy
Sign Up to like & getrecommendations! Published in 2021 at "Frontiers in Genetics"
DOI: 10.3389/fgene.2021.783513
Abstract: Background: To investigate whether the radiomics signature (Rad-score) of DCE-MRI images obtained in triple-negative breast cancer (TNBC) patients before neoadjuvant chemotherapy (NAC) is associated with disease-free survival (DFS). Develop and validate an intuitive nomogram based… read more here.
Keywords: triple negative; rad score; group; negative breast ... See more keywords
CT-Based Radiomics Signature: A Potential Biomarker for Predicting Postoperative Recurrence Risk in Stage II Colorectal Cancer
Sign Up to like & getrecommendations! Published in 2021 at "Frontiers in Oncology"
DOI: 10.3389/fonc.2021.644933
Abstract: Objective: To evaluate whether a radiomics signature could improve stratification of postoperative risk and prediction of chemotherapy benefit in stage II colorectal cancer (CRC) patients. Material and Methods: This retrospective study enrolled 299 stage II… read more here.
Keywords: radiomics signature; risk; recurrence; stage ... See more keywords
A Novel Combined Nomogram Model for Predicting the Pathological Complete Response to Neoadjuvant Chemotherapy in Invasive Breast Carcinoma of No Specific Type: Real-World Study
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Oncology"
DOI: 10.3389/fonc.2022.916526
Abstract: Objective To explore the value of a predictive model combining the multiparametric magnetic resonance imaging (mpMRI) radiomics score (RAD-score), clinicopathologic features, and morphologic features for the pathological complete response (pCR) to neoadjuvant chemotherapy (NAC) in… read more here.
Keywords: rad score; nomogram model; model; combined nomogram ... See more keywords
Development and validation of an ultrasound-based radiomics nomogram for predicting the luminal from non-luminal type in patients with breast carcinoma
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Oncology"
DOI: 10.3389/fonc.2022.993466
Abstract: Introduction The molecular subtype plays a significant role in breast carcinoma (BC), which is the main indicator to guide treatment and is closely associated with prognosis. The aim of this study was to investigate the… read more here.
Keywords: luminal non; rad score; non luminal; luminal type ... See more keywords
Machine learning for predicting neoadjuvant chemotherapy effectiveness using ultrasound radiomics features and routine clinical data of patients with breast cancer
Sign Up to like & getrecommendations! Published in 2025 at "Frontiers in Oncology"
DOI: 10.3389/fonc.2024.1485681
Abstract: Background This study explores the clinical value of a machine learning (ML) model based on ultrasound radiomics features of primary foci, combined with clinicopathologic factors to predict the pathological complete response (pCR) of neoadjuvant chemotherapy… read more here.
Keywords: radiomics features; ultrasound radiomics; analysis; machine ... See more keywords
CT radiomics analysis facilitates preoperative risk stratification of central lymph node metastasis in papillary thyroid cancer: a multicenter study
Sign Up to like & getrecommendations! Published in 2025 at "Frontiers in Oncology"
DOI: 10.3389/fonc.2025.1681000
Abstract: Rationale and objectives To develop a CT-based radiomics model to predict central lymph node metastasis (CLNM) in papillary thyroid cancer (PTC) patients and classify risk. Materials and methods 218 PTC patients from institution 1 were… read more here.
Keywords: stratification; analysis; risk; rad score ... See more keywords