Clinical trials: Radiomic
Colorectal Cancer Liver Metastases
Multimodal Model for Efficacy Prediction Cetuximab in Colorectal Cancer Liver Metastasis Patient
Establishment and validation of the deep learning model of Cetuximab efficacy in simultaneous RAS wild unresectable CRLM patients
- Trial name
- NCT05873972
- Testing
- Cetuximab
- Where
- 2 sites in China
- Volunteers
- 100 people
- Sponsor
- Fudan University
Invasive Breast Cancer
Radiomic Markers for Breast Cancer Metastasis and Treatment Response Using MRI
The primary aim of the study is to identify radiomic features as biomarkers of metastatic progression following primary therapy.
- Trial name
- NCT03709186
- Where
- Canada
- Volunteers
- 100 people, healthy volunteers welcome
- Sponsor
- Sunnybrook Health Sciences Centre
Pancreatic Neuroendocrine Tumor
CT Radiomic Features of Pancreatic Neuroendocrine Neoplasms
The aim of this study is to quantify inter-observer variability in delineating pancreatic neuroendocrine neoplasm (PanNEN) on Computerized Tomography (CT) images and its impact on radiomic features (RF), subsequently to this…
- Trial name
- NCT03967951
- Testing
- CT radiomic feature evaluation
- Where
- 2 sites in Italy
- Volunteers
- 70 people
- Sponsor
- Francesco De Cobelli
Pituitary Neoplasms
Radiomic and Pathomic Study of Pituitary Adenoma Using Machine Learning
Refractory pituitary adenoma is characterized by invasive tumor growth, continuous growth and/or hormone hypersecretion in spite of standardized multi-modal treatment such as surgeries, medications or radiations.
- Trial name
- NCT05108064
- Testing
- Artificial intelligence model
- Where
- China
- Volunteers
- 1,000 people
- Sponsor
- Huashan Hospital
Glioma
Spatial and Temporal Characterization of Gliomas Using Radiomic Analysis
Glioma are type of primary brain tumors arising within the substance of brain. Different type of gliomas are seen which are classified depending upon pathological examination and advanced molecular techniques, which help to…
- Trial name
- GLIO-RAD (NCT06036381)
- Testing
- Radiomic analysis of imaging - MRI, PET, CT
- Where
- India
- Volunteers
- 1,000 people
- Sponsor
- Tata Memorial Centre
Lung Cancer, Image, Body
Influence of PET/CT Radiomic Features on the Outcome of Lung Cancer Patients
Radiomics is an attractive field in objectively quantifying image features, and may overcome the subjectivity of visually interpreting computed tomography (CT), or positron emission tomography (PET).
- Trial name
- NCT03648151
- Where
- 2 sites in China
- Volunteers
- 1,000 people
- Sponsor
- The First Affiliated Hospital of Shanxi Medical University
Radiomic, Radiomics
RADIomics to Predict HER2 Status And T-DXd Efficacy in Metastatic Breast Cancer: the RADIOSPHER2 Study
RADIOSPHER2 study is a monocentric, retrospective, observational study aiming at identifying a radiomics signature able to predict HER2 expression (0 vs low vs overexpression) and trastuzumab deruxtecan efficacy in metastatic…
- Conditions
- Radiomic, Radiomics, Breast Cancer Metastatic, Breast Cancer Stage IV
- Trial name
- RADIOSPHER2 (NCT07030569)
- Testing
- Trastuzumab deruxtecan (DS-8201a)
- Where
- Italy
- Volunteers
- 500 people
- Sponsor
- Fondazione IRCCS Istituto Nazionale dei Tumori, Milano
Locally Advanced Rectal Cancer, Distant Metastasis
Constructing a Multimodal Imaging System to Predict the Risk of Heterochronous Metastasis of Rectal Cancer
The goal of this observational study is to construct a multimodal intelligent model to predict the risk of heterochronous metastasis of rectal cancer, which is helpful for individualized diagnosis and treatment and follow-up…
- Trial name
- MIS-MRC (NCT06293612)
- Testing
- No intervention was administrated to the two cohorts.
- Where
- China
- Volunteers
- 302 people
- Sponsor
- Cancer Institute and Hospital, Chinese Academy of Medical Sciences
Glioma (Diagnosis), Liquid Biopsy
Combing a Deep Learning-Based Radiomics With Liquid Biopsy for Preoperative and Non-invasive Diagnosis of Glioma
This registry has the following objectives. First, according to the guidance of 2021 WHO of CNS classification, we constructed and externally tested a multi-task DL model for simultaneous diagnosis of tumor segmentation, glioma…
- Conditions
- Glioma (Diagnosis), Liquid Biopsy, Deep Learning
- Trial name
- NCT05536024
- Testing
- Prediction of glioma grading and molecular subtype
- Where
- 2 sites in China
- Volunteers
- 68 people, healthy volunteers welcome
- Sponsor
- Second Affiliated Hospital of Nanchang University
Ovarian Cancer
Ovarian Cancer Radiomics Approach in CT Led Evaluation
When patients have suspected or confirmed ovarian cancer standard treatment will involve surgery and chemotherapy. However, as with any treatment, it is challenging to predict treatment response in advance.
- Trial name
- ORACLE (NCT06817174)
- Where
- United Kingdom
- Volunteers
- 168 people
- Sponsor
- Imperial College Healthcare NHS Trust
Triple-negative Breast Cancer, HER2-positive Breast Cancer
CT-based Radiomics of ALN pCR (ypN0) in Breast Cancer Undergoing NAC
This is a prospective, single-center, non-randomized, non-controlled observational study.
- Trial name
- NCT04457700
- Where
- China
- Volunteers
- 218 people
- Sponsor
- Peking University
Coronavirus, Machine Learning
Clinical and Radiomic Model of COVID-19
To develop and validate a machine-learning model based on clinical, laboratory, and radiological characteristics alone or combination of COVID-19 patients to facilitate risk Assessment before and after symptoms and triage (home…
- Trial name
- NCT04337502
- Testing
- Machine learning model
- Where
- China
- Volunteers
- 300 people
- Sponsor
- Maastricht University
Idiopathic Pulmonary Fibrosis
The Role of Quantitative CT and Radiomic Biomarkers for Precision Medicine in Pulmonary Fibrosis
This observational study involves obtaining 2 chest CT scans; a historical baseline CT within ±1 year of enrollment into PRECISIONS, and a follow-up CT (either historical or prospective) 12 months ± 180 days after the baseline…
- Trial name
- Radiomics (NCT06323876)
- Testing
- HRCT, Blood Draw
- Where
- United States
- Volunteers
- 160 people
- Sponsor
- University of Virginia
Uterine Fibroid, Uterine Sarcoma
A Prospective Validation Study of Radiomics in the Differential Diagnosis of Uterine Leiomyoma and Uterine Sarcoma
In our previous study, based on the multi-center clinical big data collected from January 2012 to January 2025, we have completed the construction of a multimodal early warning model for the malignant transformation of uterine…
- Conditions
- Uterine Fibroid, Uterine Sarcoma, AI (Artificial Intelligence), Radiomic
- Trial name
- NCT07269535
- Testing
- No intervention (observational study)
- Volunteers
- 500 people
- Sponsor
- Tongji Hospital
Predictive Cancer Model, Lung Cancer
CT-based Radiomic Algorithm for Assisting Surgery Decision and Predicting Immunotherapy Response of NSCLC
The purpose of this study was to investigate whether the combined radiomic model based on radiomic features extracted from focus and perifocal area (5mm) can effectively improve prediction performance of distinguishing…
- Conditions
- Predictive Cancer Model, Lung Cancer, Preinvasive Adenocarcinoma
- Trial name
- TOP-RLC (NCT04452058)
- Testing
- Radiomic Algorithm
- Where
- 3 sites in China
- Volunteers
- 500 people
- Sponsor
- Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
Lung Cancer
Radiomic Assessment in NSCLC: Correlation Between Multiparametric Imaging Biomarkers and Genetic Biomarkers
The purpose of this study is to evaluate relationships between multiparametric imaging biomarkers and genetic analysis in NSCLC patients.
- Trial name
- NCT01585545
- Where
- South Korea
- Volunteers
- 500 people
- Sponsor
- Samsung Medical Center
Endometrial Cancer
Radiomics and Radiogenomics Models to Predict Molecular Integrated Risk Classes and Prognostic Factors in Endometrial Cancer.
The aim is to develop radiogenomics models to stratify patients into three main risk categories (Favorable, Intermediate, and Unfavorable) according to the ProMisE model (9) and use these models to predict the most prognostically…
- Trial name
- Romantic (NCT06279832)
- Testing
- trascriptomic profiling
- Where
- Italy
- Volunteers
- 1,000 people, healthy volunteers welcome
- Sponsor
- Fondazione Policlinico Universitario Agostino Gemelli IRCCS
Lung Cancer Stage III, Lung Cancer Stage IV
Prognostic Value of Combined Approach Based on KEAP1/NFE2L2 Mutations and Pre-therapeutic FDG-PET/CT Radiomic Analysis in Advanced Non-small-cell Lung Cancer PDL1 ≥ 50% Treated With Pembrolizumab (PEMBROMIC)
Pembrolizumab has been approved for first-line locally advanced or metastatic NSCLC with a tumor proportion score (TPS) ≥50% for PDL1, based on the results of KEYNOTE-024.
- Trial name
- PEMBROMIC (NCT05996263)
- Where
- France
- Volunteers
- 75 people
- Sponsor
- University Hospital, Brest
Pancreatitis, Chronic
Radiomic fEatures of Pancreas From Contrast Enhanced CT Image Predict One-Year RecUrrence Risk of Acute PancReatitis
One-year recurrence rate of acute pancreatitis at about 20%. 36% of the patients with recurrent acute pancreatitis will develop into chronic pancreatitis.
- Trial name
- RECUR (NCT05778929)
- Testing
- Radiomics Model
- Volunteers
- 694 people
- Sponsor
- Peking University People's Hospital
Predictive Cancer Model
Deep Learning Magnetic Resonance Imaging Radiomic Predict Platinum-sensitive in Patients With Epithelial Ovarian Cancer
Platinum-sensitive is an important basis for the treatment of recurrent epithelial ovarian cancer (EOC) without effective methods to predict.We aimed to develop and validate the EOC deep learning system to predict the…
- Trial name
- NCT04511481
- Testing
- Radiomic Algorithm
- Where
- China
- Volunteers
- 93 people
- Sponsor
- Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University