Imaging phenotypes from MRI for the prediction of glioma immune subtypes from RNA sequencing: A multicenter study
Sign Up to like & getrecommendations! Published in 2023 at "Molecular Oncology"
DOI: 10.1002/1878-0261.13380
Abstract: Tumor subtyping based on its immune landscape may guide precision immunotherapy. The aims of this study were to identify immune subtypes of adult diffuse gliomas with RNA sequencing data, and to noninvasively predict this subtype… read more here.
Keywords: rna sequencing; immune subtypes; radiomic signature; subtype ... See more keywords
Preoperative computed tomography-guided disease-free survival prediction in gastric cancer: a multicenter radiomics study.
Sign Up to like & getrecommendations! Published in 2020 at "Medical physics"
DOI: 10.1002/mp.14350
Abstract: PURPOSE Preoperative and noninvasive prognosis evaluation remains challenging for gastric cancer. Novel preoperative prognostic biomarkers should be investigated. This study aimed to develop multidetector-row computed tomography (MDCT)-guided prognostic models to direct follow-up strategy and improve… read more here.
Keywords: gastric cancer; computed tomography; prediction; radiomic signature ... See more keywords
Prediction of disease-free survival by the PET/CT radiomic signature in non-small cell lung cancer patients undergoing surgery
Sign Up to like & getrecommendations! Published in 2017 at "European Journal of Nuclear Medicine and Molecular Imaging"
DOI: 10.1007/s00259-017-3837-7
Abstract: PurposeRadiomic features derived from the texture analysis of different imaging modalities e show promise in lesion characterisation, response prediction, and prognostication in lung cancer patients. The present study aimed to identify an images-based radiomic signature… read more here.
Keywords: lung; free survival; lung cancer; disease free ... See more keywords
Radiomic signature as a diagnostic factor for histologic subtype classification of non-small cell lung cancer
Sign Up to like & getrecommendations! Published in 2017 at "European Radiology"
DOI: 10.1007/s00330-017-5221-1
Abstract: ObjectivesTo distinguish squamous cell carcinoma (SCC) from lung adenocarcinoma (ADC) based on a radiomic signatureMethodsThis study involved 129 patients with non-small cell lung cancer (NSCLC) (81 in the training cohort and 48 in the independent… read more here.
Keywords: signature; cell; lung cancer; radiomic signature ... See more keywords
Magnetic resonance imaging-derived radiomic signature predicts locoregional failure after organ preservation therapy in patients with hypopharyngeal squamous cell carcinoma
Sign Up to like & getrecommendations! Published in 2020 at "Clinical and Translational Radiation Oncology"
DOI: 10.1016/j.ctro.2020.08.004
Abstract: Highlights • The first study to develop and validate an MRI-derived radiomic signature (RS) for the prediction of 1-year locoregional failure in HPSCC patients receiving OPT.• The RS-based model (RS of 0.0326 as the cut-off… read more here.
Keywords: magnetic resonance; derived radiomic; locoregional failure; radiomic signature ... See more keywords
MRI-based radiomic signature as predictive marker for patients with head and neck squamous cell carcinoma.
Sign Up to like & getrecommendations! Published in 2019 at "European journal of radiology"
DOI: 10.1016/j.ejrad.2019.06.019
Abstract: PURPOSE To develop magnetic resonance imaging (MRI)-based radiomic signature and nomogram for preoperatively predicting prognosis in head and neck squamous cell carcinoma (HNSCC) patients. METHOD This retrospective study consisted of a training cohort (n = 85) and… read more here.
Keywords: mri based; based radiomic; cohort; signature ... See more keywords
Deep radiomic signature with immune cell markers predicts the survival of glioma patients
Sign Up to like & getrecommendations! Published in 2022 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.10.117
Abstract: Abstract Imaging biomarkers offer a non-invasive way to predict the response of immunotherapy prior to treatment. In this work, we propose a novel type of deep radiomic features (DRFs) computed from a convolutional neural network… read more here.
Keywords: immune cell; deep radiomic; radiomic signature; cell markers ... See more keywords
Radiomic signature of infiltration in peritumoral edema predicts subsequent recurrence in glioblastoma: implications for personalized radiotherapy planning
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Medical Imaging"
DOI: 10.1117/1.jmi.5.2.021219
Abstract: Abstract. Standard surgical resection of glioblastoma, mainly guided by the enhancement on postcontrast T1-weighted magnetic resonance imaging (MRI), disregards infiltrating tumor within the peritumoral edema region (ED). Subsequent radiotherapy typically delivers uniform radiation to peritumoral… read more here.
Keywords: peritumoral edema; glioblastoma; recurrence; infiltration ... See more keywords
Radiomic Signature Based on Dynamic Contrast-Enhanced MRI for Evaluation of Axillary Lymph Node Metastasis in Breast Cancer
Sign Up to like & getrecommendations! Published in 2022 at "Computational and Mathematical Methods in Medicine"
DOI: 10.1155/2022/1507125
Abstract: Background To construct and validate a radiomic-based model for estimating axillary lymph node (ALN) metastasis in patients with breast cancer by dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI). Methods In this retrospective study, a radiomic-based model… read more here.
Keywords: metastasis; model; breast cancer; radiomic signature ... See more keywords
Predicting Chemo-Radiotherapy Sensitivity With Concordant Survival Benefit in Non-Small Cell Lung Cancer via Computed Tomography Derived Radiomic Features
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Oncology"
DOI: 10.3389/fonc.2022.832343
Abstract: Background To identify a computed tomography (CT) derived radiomic signature for the options of concurrent chemo-radiotherapy (CCR) in patients with non-small cell lung cancer (NSCLC). Methods A total of 226 patients with NSCLC receiving CCR… read more here.
Keywords: signature; survival; radiomic signature; ccr ... See more keywords
Development and Validation of a Novel Radiomics-Based Nomogram With Machine Learning to Preoperatively Predict Histologic Grade in Pancreatic Neuroendocrine Tumors
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Oncology"
DOI: 10.3389/fonc.2022.843376
Abstract: Backgroud Tumor grade is the determinant of the biological aggressiveness of pancreatic neuroendocrine tumors (PNETs) and the best current tool to help establish individualized therapeutic strategies. A noninvasive way to accurately predict the histology grade… read more here.
Keywords: signature; validation; radiomic signature; neuroendocrine tumors ... See more keywords