Clinical trials: Radiomics
Optical Coherence Tomography, Artificial Intelligence
Repeatability and Stability of Healthy Skin Features on OCT
A test-retest study on the stability and repeatability of healthy skin features on OCT
- Conditions
- Optical Coherence Tomography, Artificial Intelligence, Radiomics
- Trial name
- NCT05517889
- Testing
- Optical coherence tomography
- Where
- Netherlands
- Volunteers
- 20 people, healthy volunteers welcome
- Sponsor
- Maastricht University Medical Center
Radiomics
Preoperative Prediction of Adherent Perirenal Fat.
In addition to kidney tumor specific factors, adherent perirenal fat is one of the most important causes of technical complications in kidney surgery, and currently, there is a lack of widely used non-invasive predictive models…
- Trial name
- APF (NCT06062173)
- Where
- China
- Volunteers
- 500 people
- Sponsor
- The First Hospital of Jilin University
Radiomics, Deep Learning
Retrospective Analysis of the Correlation Between Imaging Features and Pathology, Prognosis in Renal Tumors
Renal cell carcinoma (RCC) is the most common malignant tumor in the kidney with a high mortality rate. Traditional imaging techniques are limited in capturing the internal heterogeneity of the tumor.
- Conditions
- Radiomics, Deep Learning, Artificial Intelligence, Body Composition
- Trial name
- NCT06167863
- Testing
- radiomics
- Where
- China
- Volunteers
- 1,000 people
- Sponsor
- Zhen Li
Radiomics, Hepatocellular Carcinoma (HCC)
Microvascular Invasion for Guiding Treatment of Barcelona Clinic Liver Cancer Stage B Hepatocellular Carcinoma
The goal of this observational study is to explore the role of prediction of microvascular invasion by radiomics based on pre-treatment magnetic resonance imaging for guiding treatment of Barcelona Clinic Liver Cancer stage B…
- Conditions
- Radiomics, Hepatocellular Carcinoma (HCC), Transcatheter Arterial Chemoembolization (TACE), Microvascular Invasion (MVI)
- Trial name
- NCT05889949
- Testing
- Sorafenib, Lenvatinib
- Where
- China
- Volunteers
- 200 people
- Sponsor
- Sun Yat-sen University
Idiopathic Pulmonary Fibrosis, Interstitial Lung Disease
An In Silico Trial to Evaluate Prospectively the Performance of a Radiomics Algorithm for UIP Compared to Medical Doctors
The purpose of this study is to compare AI performance to doctor's performance in the evaluation of IPF/UIP and ILDs without UIP(proven by biopsy).
- Conditions
- Idiopathic Pulmonary Fibrosis, Interstitial Lung Disease, Radiomics
- Trial name
- NCT05784207
- Testing
- Radiomics model to classify between IPF with UIP pattern and ILDs without UIP pattern
- Where
- Netherlands
- Volunteers
- 145 people, healthy volunteers welcome
- Sponsor
- Maastricht University
Breast Cancer, Ultrasound
Application of Radiomics in Breast Cancer
Little is known about the correlation between ultrasound characteristics (conventional, elastography and contrast enhanced ultrasound (CEUS) )and pathological prognostic factors in breast cancer.
- Conditions
- Breast Cancer, Ultrasound, Elastography, Pathology
- Trial name
- NCT04483804
- Testing
- Endocrine therapy
- Where
- China
- Volunteers
- 2,000 people
- Sponsor
- Second Affiliated Hospital, Zhejiang University, School of Medicine
Lung Adenocarcinoma, Radiomics
Deep Learning Signature for Predicting the Novel Grading System of Clinical Stage I Lung Adenocarcinoma
The purpose of this study is to evaluate the performance of a PET/ CT-based deep learning signature for predicting the grade 3 tumors based on the novel grading system in clinical stage stage I lung adenocarcinoma based on a…
- Conditions
- Lung Adenocarcinoma, Radiomics, Grading System
- Trial name
- NCT05736991
- Testing
- PET/CT-based Radiomics Signature
- Where
- 4 sites in China
- Volunteers
- 600 people, healthy volunteers welcome
- Sponsor
- Shanghai Pulmonary Hospital, Shanghai, China
Stereotactic Radiosurgery, Spinal Tumor
Stereotactic Radiosurgery Prognosis Assessment for Spinal Tumors Based on Radiomics
This study aims to assess multimodal Radiomics-based prediction model for prognostic prediction in spinal tumors.
- Conditions
- Stereotactic Radiosurgery, Spinal Tumor, Radiomics, Prognosis
- Trial name
- NCT05369689
- Testing
- No interventions
- Where
- China
- Volunteers
- 300 people
- Sponsor
- Zhuang Hongqing
Transcriptomics, Radiomics
Research on Precise Immune Prevention and Treatment of Glioma Based on Multi-omics Sequencing Data
This project intends to use multiple types of biological samples from glioma patients and mouse intracranial tumor models as research objects, and comprehensively apply a series of omics sequencing technologies and molecular…
- Conditions
- Transcriptomics, Radiomics, Glioma
- Trial name
- NCT04792437
- Testing
- surgery
- Where
- China
- Volunteers
- 120 people
- Sponsor
- Yu Yao, MD
NSCLC, PET/CT
Molecular Imaging Visualization of Tumor Heterogeneity in Non-small Cell Lung Cancer
To assess the potential usefulness of radiogenomics for tumor driving genes heterogeneity in non-small cell lung cancer.
- Conditions
- NSCLC, PET/CT, Biopsy, Radiomics
- Trial name
- NCT04553601
- Testing
- 18F-FDG PET/CT and PET/CT-guide targeted biopsy in another group of participants
- Where
- China
- Volunteers
- 150 people
- Sponsor
- The First Affiliated Hospital of Xiamen University
Invasive Breast Cancer, Neoadjuvant Chemotherapy
MRI Radiomics Assessing Neoadjuvant Chemotherapy in Breast Cancer to Predict Lymph Node Metastasis and Prognosis(RBC-02)
This study is aimed to illustrate whether Radiomics combining multiparametric MRI before and after neoadjuvant chemotherapy (NACT) with clinical data is a good way to predict axillary lymph node metastasis and prognosis in…
- Conditions
- Invasive Breast Cancer, Neoadjuvant Chemotherapy, Radiomics, Axillary Lymph Node
- Trial name
- RBC-02 (NCT04004559)
- Testing
- No interventions
- Where
- 3 sites in China
- Volunteers
- 600 people
- Sponsor
- Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
Breast Neoplasm Female, Early-stage Breast Cancer
Deep Learning Algorithms for Prediction of Lymph Node Metastasis and Prognosis in Breast Cancer MRI Radiomics (RBC-01)
This bi-directional, multicentre study aims to assess multiparametric MRI Radiomics-based prediction model for identifying metastasis lymph nodes and prognostic prediction in breast cancer.
- Conditions
- Breast Neoplasm Female, Early-stage Breast Cancer, Radiomics, Axillary Lymph Node
- Trial name
- NCT04003558
- Testing
- No interventions
- Where
- 5 sites in China
- Volunteers
- 1,500 people
- Sponsor
- Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
Focal Liver Lesions, Ultrasonics
Utility of Ultrasound Imaging for Diagnosis of Focal Liver Lesions: A Radiomics Analysis
Ultrasound (US) as first-line imaging technology in detecting focal liver lesions,also plays a crucial role in evaluating image and guiding ablation which is the main treatment for liver lesions.
- Conditions
- Focal Liver Lesions, Ultrasonics, Intelligent Diagnosis, Ablation
- Trial name
- NCT03871140
- Testing
- diagnosis
- Where
- China
- Volunteers
- 10,000 people, healthy volunteers welcome
- Sponsor
- Chinese PLA General Hospital
Breast Cancer, Radiomics
Radiomics of Mp-MRI Assessing NAC Outcome in Breast Cancer
This is a single-arm, multicentre study that aims to assess whether Radiomics combining multiparametric MRI and clinical data could be a good predictor of the responses to neoadjuvant chemotherapy in Breast Cancer.
- Conditions
- Breast Cancer, Radiomics, Neoadjuvant Chemotherapy, Multi-parametric MRI
- Trial name
- NCT03592004
- Testing
- neoadjuvant chemotherapy
- Where
- China
- Volunteers
- 500 people
- Sponsor
- Chinese Academy of Sciences