Clinical trials: Radiomics
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
Renal Cyst Complex
The Potential of Radiomics to Differentiate Between Malignant and Benign Bosniak 3 Renal Cysts.
More than 200,000 new cases of renal cancer are diagnosed in the world each year, with more than 63,000 new cases in Europe alone.
- Trial name
- BIII (NCT03552497)
- Testing
- Radiomics
- Where
- Netherlands
- Volunteers
- 500 people
- Sponsor
- Maastricht University
Breast Cancer, Breast Cancer With Low to Intermediate HER2 Expression
Application of Multimodal MRI-based Radiomics in Histological Grading and Prognostic Assessment of Breast Cancer
In addition to TNM staging, the current management of breast cancer is based on conventional pathological features that categorize the disease into three molecular subtypes, each with significant prognostic implications in…
- Trial name
- NCT07389200
- Testing
- DCE-MRI
- Volunteers
- 400 people
- Sponsor
- Hao Xu
Ischemic Heart Disease (IHD), Myocardial Infarction (MI)
CMR Prognostic Markers in Ischemic Heart Disease
Ischemic heart disease (IHD) remains a leading cause of morbidity and mortality worldwide. Accurate risk stratification is essential for guiding clinical management and improving long-term outcomes in patients with ischemic…
- Trial name
- NCT07351825
- Testing
- Cardiac Magnetic Resonance Imaging
- Where
- China
- Volunteers
- 1,000 people
- Sponsor
- Chinese Academy of Medical Sciences, Fuwai Hospital
Bladder Cancer
Whole-slide Image and CT Radiomics Based Deep Learning System for Prognostication Prediction in Bladder Cancer
Bladder cancer (BLCA), with its diverse histopathological features and varying patient outcomes, poses significant challenges in diagnosis and prognosis.
- Trial name
- NCT06389019
- Testing
- Deep learning system for prognostication prediction in bladder cancer
- Where
- China
- Volunteers
- 1,000 people
- Sponsor
- Mingzhao Xiao