Clinical trials: Radiomic
Oligometastatic Breast Carcinoma, Radiomics
FDG PET/CT Radiomics for True Oligometastatic Breast Cancer
FDG PET CT Radiomics for True Oligometastatic Breast Cancer
- Trial name
- NCT07872332
- Volunteers
- 100 people
- Sponsor
- Sohag University
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
Prostate Cancer, Ultrasound
Application of Ultrasound Radiomics in Ultrasound Fusion Targeted Prostate Biopsy
To predict prostate cancer by ultrasound radiomics in ultrasound fusion prostate targeted biopsy.
- Conditions
- Prostate Cancer, Ultrasound, Radiomics
- Trial name
- NCT05761912
- Testing
- Targeted biopsy
- Where
- China
- Volunteers
- 160 people
- Sponsor
- Shanghai Minhang Central Hospital
Pancreatic Neoplasms, Pancreatic Ductal Adenocarcinoma (PDAC)
EUS-Based Artificial Intelligence to Predict Outcomes in Pancreatic Cancer
The EUS-AI-R study is an observational, single-center, two-phase (retrospective-prospective) study designed to develop and validate artificial intelligence (AI) models for predicting chemotherapy response and oncological outcomes…
- Conditions
- Pancreatic Neoplasms, Pancreatic Ductal Adenocarcinoma (PDAC), Artificial Intelligence (AI), Endoscopic Ultrasound (EUS)
- Trial name
- EUS-AI-R (NCT07803770)
- Testing
- Endoscopic ultrasound (EUS), with or without tissue acquisition (EUS-FNA/FNB), performed according to standard clinical practice. No study-specific intervention is introduced.
- Where
- Italy
- Volunteers
- 700 people
- Sponsor
- IRCCS San Raffaele
Study on the Use of Radiomics in Gliomas of Initial Disgnosis
Evaluation of the Use of Radiomics in 18F-FDOPA PET Examinations for the Characterization of Gliomas
The evaluation of gliomas in imaging represents a real challenge today, at the initial diagnosis, for therapeutic planning or follow-up treatment of these lesions.
- Trial name
- RADDOPAG (NCT04469244)
- Where
- France
- Volunteers
- 1,000 people
- Sponsor
- Central Hospital, Nancy, France
Prostate Cancer, Gleason Score
Dual-tracer PET Radiomics for Prostate Cancer Stratification
This single-center retrospective study aims to develop an interpretable radiomics model based on dual-tracer PET/CT to preoperatively predict the postoperative pathological Gleason grade group in treatment-naïve prostate cancer…
- Conditions
- Prostate Cancer, Gleason Score, PET/CT, Radiomics
- Trial name
- NCT07655648
- Testing
- PET/CT with Gallium-68 labeled PSMA and RM26
- Where
- China
- Volunteers
- 100 people
- Sponsor
- Xiangya Hospital of Central South University
Crohn Disease, Prognostic Model
Study of Imaginomics Predicting Early Surgical Rates in Crohn's Disease
Crohn's disease (CD), a type of inflammatory bowel disease (IBD), is a chronic intestinal recurrent inflammatory disease involving the entire digestive tract.
- Conditions
- Crohn Disease, Prognostic Model, Radiomics
- Trial name
- NCT05174208
- Testing
- CTE examination
- Where
- China
- Volunteers
- 300 people
- Sponsor
- Sixth Affiliated Hospital, Sun Yat-sen University
Dermatomyositis (DM), ILD
Construction of a Clinico-Imaging Collaborative Diagnostic Model for Dermatomyositis Combined With Interstitial Lung Disease Based on PET/CT Imaging Features and Clinical Parameters
The investigators investigated the associations between the imaging parameters of ⁶⁸Ga-FAPI and ¹⁸F-FDG dual-tracer PET/CT and concomitant interstitial lung disease (ILD) in patients with dermatomyositis (DM), developed a novel…
- Conditions
- Dermatomyositis (DM), ILD, Machine Learning, Radiomics
- Trial name
- NCT07531446
- Testing
- Observe the medical images, Extracting image feature
- Where
- China
- Volunteers
- 200 people
- Sponsor
- Ruijin Hospital
Paraspinal Muscles, Low Back Pain
Multimodal Exercise Therapy for Non-Surgical Intervention of Nonspecific Low Back Pain.
This multicenter, assessor-blinded, two-arm parallel randomized controlled trial (N = 314) will compare the efficacy and safety of a 6-week multidimensional exercise program plus usual pharmacological care (experimental arm)…
- Conditions
- Paraspinal Muscles, Low Back Pain, Machine Learning, Radiomics
- Trial name
- METNLBP (NCT07353372)
- Testing
- Multidimensional exercise intervention, Oral NSAIDs
- Where
- China
- Volunteers
- 314 people
- Sponsor
- Xuanwu Hospital, Beijing
Renal Clear Cell Carcinoma, HIF-2α
Predicting HIF-2α Levels in Clear Cell Kidney Cancer Using Machine Learning
This project aims to conduct a multicenter retrospective study to collect clinical, CT imaging, and pathological data from patients.
- Conditions
- Renal Clear Cell Carcinoma, HIF-2α, Radiomics, Nomogram
- Trial name
- NCT07332923
- Where
- China
- Volunteers
- 500 people
- Sponsor
- First Affiliated Hospital of Fujian Medical University
Bronchiectasis Adult, Radiomics
Multicenter Cohort Study on Predicting Bronchiectasis Progression, Complications, and Prognosis Using Multi-omics
Bronchiectasis is a heterogeneous condition with diverse etiologies and clinical manifestations. Its progression involves a vicious cycle of airway inflammation, recurrent infection, and structural damage, leading to persistent…
- Trial name
- NCT07263373
- Where
- China
- Volunteers
- 2,000 people
- Sponsor
- The First Affiliated Hospital with Nanjing Medical University
ESCC, Lymph Node Metastasis
Lymph Node Metastasis in Early Esophageal Squamous Cell Carcinoma
This study aims to develop a predictive model using deep learning and radiomics to assess the likelihood of lymph node metastasis in patients with early-stage esophageal squamous cell carcinoma (ESCC).
- Conditions
- ESCC, Lymph Node Metastasis, Radiomics
- Trial name
- NCT07050576
- Testing
- The prediction model of lymph node metastasis in early esophageal squamous cell carcinoma
- Where
- China
- Volunteers
- 500 people
- Sponsor
- The First Affiliated Hospital of Anhui 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
Uterine Cervical Neoplasms, Locally Advanced Cervical Cancer
US Radiomics in Advanced Cervical Cancer
This is a retrospective, multicenter observational study aimed at evaluating the role of ultrasound-based radiomics in patients with locally advanced cervical cancer (LACC).
- Conditions
- Uterine Cervical Neoplasms, Locally Advanced Cervical Cancer, Radiomics, Ultrasound Imaging
- Trial name
- RU-LACC (NCT06984289)
- Testing
- Radiomic Analysis of Ultrasound Images
- Where
- Italy
- Volunteers
- 220 people
- Sponsor
- Fondazione Policlinico Universitario Agostino Gemelli IRCCS
Gastric Cancer, Para-Aortic Lymph Node Metastasis
Radiomics-Based AI Model for Predicting Para-Aortic Lymph Node Metastasis in Gastric Cancer Patients
This study aims to develop and validate an artificial intelligence (AI) model based on radiomics features extracted from preoperative CT images to predict para-aortic lymph node (PALN) metastasis in patients with gastric cancer.
- Conditions
- Gastric Cancer, Para-Aortic Lymph Node Metastasis, Lymphatic Metastasis, Preoperative Imaging Assessment
- Trial name
- NCT06947096
- Testing
- Radiomics-Based AI Imaging Analysis
- Where
- China
- Volunteers
- 120 people
- Sponsor
- Qun Zhao
Lumbar Vertebrae, Surgical Site Infection
Dixon MRI Imaging Histology for Predicting Postoperative Infection in Posterior Lumbar Fusion for Myasthenia Gravis
Sarcopenia is an age-related condition that manifests itself as a persistent decrease in muscle mass and function, which may lead to decreased physical function, increased risk of disease, and reduced quality of life.
- Conditions
- Lumbar Vertebrae, Surgical Site Infection, Radiomics
- Trial name
- NCT06805643
- Volunteers
- 1,300 people
- Sponsor
- The First People's Hospital of Yunnan
Radiomics, Multi-omics
Neurophenotype Predicts CD Disease Progression
The goal of this observational study is aimed to develop a novel multimodal neuroimaging-based model to characterize the neurophenotype of Crohn's Disease patients and assess its ability for predicting disease progression, using…
- Trial name
- NCT06452550
- Testing
- Logistic regression (LR) prediction models
- Where
- China
- Volunteers
- 500 people, healthy volunteers welcome
- Sponsor
- First Affiliated Hospital, Sun Yat-Sen University
Bladder Cancer, Radiomics
The Efficacy of Radiomics to Predict Tumor Microenvironment Markers and Comprehensive Therapy for Bladder Cancer
The aim of this study was to develop an radiomic model based on CT images to evaluate markers of the bladder cancer microenvironment, such as TSR,TIL, and IP.
- Conditions
- Bladder Cancer, Radiomics, Immunotherapy
- Trial name
- NCT06381895
- Where
- China
- Volunteers
- 1,200 people
- Sponsor
- Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
HNSCC, AI
10-year Retrospective Study of Oral and Maxillofacial Squamous Cell Carcinoma
Introduction: The incidence of occult cervical lymph node metastases (OCLNM) is reported to be 20%-30% in early-stage oral cancer and oropharyngeal cancer.
- Conditions
- HNSCC, AI, Radiomic, MRI
- Trial name
- NCT06366906
- Testing
- The Resnet50 deep learning (DL) model
- Where
- 2 sites in China
- Volunteers
- 319 people
- Sponsor
- Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
Describe Typical Gray Scale/Color Doppler Ultrasound Features of Gestational Trophoblastic Neoplasia at the US Examination, To Assess if There Are Differences at the Baseline US Scan Between Low-risk and High-risk Patients
Gestional Trophoblastic Neoplasia Ultrasound Assessment: Titanium Study
Gestational trophoblast diseases are characterized by abnormal proliferation of trophoblastic tissue, which can occur consequent to any pregnancy event.
- Conditions
- Describe Typical Gray Scale/Color Doppler Ultrasound Features of Gestational Trophoblastic Neoplasia at the US Examination, To Assess if There Are Differences at the Baseline US Scan Between Low-risk and High-risk Patients, To Identify Ultrasound Predictors of Resistance to First-line Single Drug Chemotherapy in Low-risk GTN Patients, To Investigate if Machine Learning (ML) Algorithms (Radiomics, Deep Neural Networks (DNN), and Other Machine Learning Algorithms
- Trial name
- TITANIUM (NCT06284980)
- Where
- Italy
- Volunteers
- 120 people
- Sponsor
- Fondazione Policlinico Universitario Agostino Gemelli IRCCS