Search
Search Results
-
Predictive value of delta radiomics in xerostomia after chemoradiotherapy in patients with stage III-IV nasopharyngeal carcinoma
BackgroundXerostomia is one of the most common side effects in nasopharyngeal carcinoma (NPC) patients after chemoradiotherapy. To establish a Delta...
-
Application of PET imaging delta radiomics for predicting progression-free survival in rare high-grade glioma
This study assesses the feasibility of using a sample-efficient model to investigate radiomics changes over time for predicting progression-free...
-
Delta-radiomics features for predicting the major pathological response to neoadjuvant chemoimmunotherapy in non-small cell lung cancer
ObjectivesTo investigate if delta-radiomics features have the potential to predict the major pathological response (MPR) to neoadjuvant...
-
CT-based delta-radiomics nomogram to predict pathological complete response after neoadjuvant chemoradiotherapy in esophageal squamous cell carcinoma patients
BackgroundThis study developed a nomogram model using CT-based delta-radiomics features and clinical factors to predict pathological complete...
-
Prediction of SBRT response in liver cancer by combining original and delta cone-beam CT radiomics: a pilot study
This study aims to explore the feasibility of utilizing a combination of original and delta cone-beam CT (CBCT) radiomics for predicting treatment...
-
Increasing the efficiency of cone-beam CT based delta-radiomics using automated contours to predict radiotherapy-related toxicities in prostate cancer
Extracting longitudinal image quantitative data, known as delta-radiomics, has the potential to capture changes in a patient’s anatomy throughout the...
-
Predicting visual recovery in pituitary adenoma patients post-endoscopic endonasal transsphenoidal surgery: Harnessing delta-radiomics of the optic chiasm from MRI
ObjectivesTo investigate whether morphological changes after surgery and delta-radiomics of the optic chiasm obtained from routine MRI could help...
-
Delta radiomics analysis for prediction of intermediary- and high-risk factors for patients with locally advanced cervical cancer receiving neoadjuvant therapy
This study aimed to assess the feasibility of using magnetic resonance imaging (MRI)-based Delta radiomics characteristics extrapolated from the Ax...
-
The CT delta-radiomics based machine learning approach in evaluating multiple primary lung adenocarcinoma
ObjectTo evaluate the difference between multiple primary lung adenocarcinoma (MPLA) and solitary primary lung adenocarcinoma (SPLA) by...
-
Delta radiomics: a systematic review
BackgroundRadiomics can provide quantitative features from medical imaging that can be correlated with various biological features and clinical...
-
Predicting Soft Tissue Sarcoma Response to Neoadjuvant Chemotherapy Using an MRI-Based Delta-Radiomics Approach
ObjectivesTo evaluate the performance of machine learning–augmented MRI-based radiomics models for predicting response to neoadjuvant chemotherapy...
-
Distinct patterns of the natural evolution of soft tissue sarcomas on pre-treatment MRIs captured with delta-radiomics correlate with gene expression profiles
ObjectivesRadiomics of soft tissue sarcomas (STS) is assumed to correlate with histologic and molecular tumor features, but radiogenomics analyses...
-
Cone-beam CT delta-radiomics to predict genitourinary toxicities and international prostate symptom of prostate cancer patients: a pilot study
For prostate cancer (PCa) patients treated with definitive radiotherapy (RT), acute and late RT-related genitourinary (GU) toxicities adversely...
-
Radiomics-based nomogram guides adaptive de-intensification in locoregionally advanced nasopharyngeal carcinoma following induction chemotherapy
ObjectivesThis study aimed to construct a radiomics-based model for prognosis and benefit prediction of concurrent chemoradiotherapy (CCRT) versus...
-
Facts and Needs to Improve Radiomics Reproducibility
Quantitative imaging seeks to extract precise and measurable features from medical images to evaluate anatomical structures, disease conditions, and...
-
Radiomics: Principles and Applications in Oncology
Radiomics is a new ‘data-driven’ approach for extracting large sets of complex descriptors from clinical images. After segmentation of the desired...
-
The MRI radiomics signature can predict the pathologic response to neoadjuvant chemotherapy in locally advanced esophageal squamous cell carcinoma
ObjectivesTo investigate the MRI radiomics signatures in predicting pathologic response among patients with locally advanced esophageal squamous cell...
-
Deep Learning Radiomics Nomogram Based on Enhanced CT to Predict the Response of Metastatic Lymph Nodes to Neoadjuvant Chemotherapy in Locally Advanced Gastric Cancer
BackgroundWe aimed to construct and validate a deep learning (DL) radiomics nomogram using baseline and restage enhanced computed tomography (CT)...
-
Coordinatized lesion location analysis empowering ROI-based radiomics diagnosis on brain gliomas
ObjectivesTo assess the value of coordinatized lesion location analysis (CLLA), in empowering ROI-based imaging diagnosis of gliomas by improving...
