Clinical trials: Radiomics
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
Sarcoma, Soft Tissue
Radiomics for Tumor Grading of Soft Tissue Sarcomas.
Radiomics is defined as a quantitative high-throughput analysis of imaging data combined with model development aiming to predict biological correlates or clinical endpoints.
- Trial name
- NCT03798795
- Where
- Germany
- Volunteers
- 285 people
- Sponsor
- Technical University of Munich
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
Lung Cancer, Pulmonary Nodule, Multiple
Lung Nodule Imaging Biobank for Radiomics and AI Research
This study will collect retrospective CT scan images and clinical data from participants with incidental lung nodules seen in hospitals across London.
- Conditions
- Lung Cancer, Pulmonary Nodule, Multiple, Pulmonary Nodule, Solitary, Lung Neoplasms
- Trial name
- LIBRA (NCT04270799)
- Testing
- Machine Learning Classification
- Where
- 5 sites in United Kingdom
- Volunteers
- 1,000 people
- Sponsor
- Royal Marsden NHS Foundation Trust
Lung Cancer (NSCLC)
Multimodal CT-Based Risk Stratification for Postoperative Local Recurrence in NSCLC: A Multicenter Study
This multicenter retrospective study is designed to develop and validate a CT-based multimodal risk stratification approach for postoperative local recurrence after curative-intent resection of non-small cell lung cancer (NSCLC).
- Trial name
- NCT07552532
- Where
- China
- Volunteers
- 2,000 people
- Sponsor
- Guangming Lu
Pulmonary Nodules, Lung Neoplasms
Deep Learning Time-Series Prediction of Long-Term Growth Patterns of Pulmonary Ground-Glass Nodules Using Serial CT
Pulmonary ground-glass nodules (GGNs) are commonly found on chest CT scans. Some stay stable for years, while others slowly or rapidly turn into lung cancer.
- Conditions
- Pulmonary Nodules, Lung Neoplasms, Adenocarcinoma of Lung
- Trial name
- GGN-Trajectory (NCT07647692)
- Testing
- Serial Thin-Slice Chest CT
- Where
- China
- Volunteers
- 4,750 people
- Sponsor
- Peking University People's Hospital
Benign and Malignant Lymph Nodes
Ultrasound Imaging Based on Ultrasound Bronchoscopy in Respiratory Diseases: a Retrospective, Single-center, Confirmatory Study
ABSTRACT Background and objective: To establish a ultrasound radiomics machine learning model based on endobronchial ultrasound (EBUS)to assistdoctors in distinguishing between benign and malignant diagnoses ofmediastinal and…
- Trial name
- NCT06351319
- Testing
- SVM model
- Where
- China
- Volunteers
- 197 people
- Sponsor
- Quncheng Zhang
Pituitary Adenoma
Application of Radiomics in the Diagnosis and Treatment Prediction of Pituitary Adenoma
The images of patients with Pituitary adenoma were collected and analyzed based on the methods of radiomics.
- Trial name
- RIPA (NCT06234553)
- Testing
- surgery of pituitary adenomas
- Where
- China
- Volunteers
- 200 people
- Sponsor
- Beijing Tiantan Hospital
Gastric Cancer
Combination of CT and Ultrasound Radiomics Combined With Liquid Biopsy to Predict Neoadjuvant Chemotherapy Response in Patients With Locally Advanced Gastric Cancer
This prospective cohort study aims to construct an artificial intelligence (AI)-derived predictive model for neoadjuvant chemotherapy response prediction in patients with locally advanced gastric cancer based on preoperative…
- Trial name
- NCT07697079
- Where
- China
- Volunteers
- 300 people
- Sponsor
- Liu Yang
Renal Cell Carcinoma (RCC)
A Study Based on CT Radiomics for Distinguishing Benign From Malignant Renal Tumors and Assessing Their Aggressiveness.
To evaluate the efficacy of CT-based radiomics in differentiating benign from malignant renal tumors, predicting nuclear grading of renal cell carcinoma, and assessing T-stage of renal tumors, thereby exploring its clinical…
- Trial name
- NCT07060248
- Where
- China
- Volunteers
- 700 people
- Sponsor
- Second Xiangya Hospital of Central South University
Breast Cancer
Prospective Radiomics Study for Breast Cancer
The goal of this prospective study is to develop MRI-based models representing tumor microenvironment in participants with invasive breast cancer.
- Trial name
- NCT06095414
- Testing
- MRI
- Where
- South Korea
- Volunteers
- 121 people
- Sponsor
- Korea University Ansan Hospital
Solitary Pulmonary Nodule, Lung Neoplasms
Radiomics for Distinguishing Benign and Malignant Lung Nodules
Differentiating between benign (non-cancerous) and malignant (cancerous) pulmonary nodules is a critical step in determining appropriate patient management and cancer treatment planning.
- Conditions
- Solitary Pulmonary Nodule, Lung Neoplasms, Multiple Pulmonary Nodules
- Trial name
- NCT07852000
- Volunteers
- 255 people
- Sponsor
- Assiut University
Prostate Cancer (Adenocarcinoma), Prostate Cancer (Diagnosis)
Development of an Intraoperative Adaptive Biopsy System for Prostate Cancer: Integrating Imaging Navigation With Metabolic Feedback for Dynamic Decision-Making
Development of an Intelligent System Integrating Preoperative Imaging and Real-Time Intraoperative Metabolic Feedback to Dynamically Optimize Biopsy core Placement for Individualized Precision Sampling.
- Trial name
- NCT07856017
- Where
- 4 sites in China
- Volunteers
- 90 people
- Sponsor
- Shanghai Zhongshan Hospital
Retroperitoneal Sarcoma, Retroperitoneal Fibrosis
Distinguishing Retroperitoneal Fibrosis and Sarcoma from Other Retroperitoneal Diseases Via Radiomics
A retrospective study utilizing archived CT scans of patients diagnosed with retroperitoneal fibrosis, sarcoma or other malignancies (i.e.
- Trial name
- NCT06741423
- Testing
- Radiomics Algortihm
- Where
- 2 sites in China, Germany
- Volunteers
- 600 people
- Sponsor
- Heidelberg University
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
Intrahepatic Cholangiocarcinoma
Establishment of Scoring Model for Early and Differential Diagnosis of Intrahepatic Cholangiocarcinoma
The purpose of this study is to develop and validate a radiological nomogram including radiological characteristics, clinical risk factors, and medical history.
- Trial name
- NCT05327907
- Where
- China
- Volunteers
- 300 people
- Sponsor
- Qilu Hospital of Shandong University
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
High Grade Serous Ovarian Cancer
Unravelling Tumour Biology In Ovarian Cancer With Precision Imaging
The objective of this study is to explore the integration of in vivo and ex vivo of MRI with histology and molecular assessments to advance non-invasive characterization of tumor heterogeneity in high-grade serous ovarian cance
- Trial name
- MR-O-MICS (NCT06084195)
- Testing
- Blood sample and tissue sample
- Where
- France
- Volunteers
- 120 people
- Sponsor
- Institut du Cancer de Montpellier - Val d'Aurelle
Breast Cancer
Proteomics and Radiomics Research of Breast Cancer Markers in Tissue, Interstitial Fluid and Serum
The current study is a case control study involving comparisons of tissue interstitial fluid from breast cancer and adjacent non-cancerous tissue as well as that from benign breast lesion and its adjacent non-diseased tissue for…
- Trial name
- NCT01042548
- Where
- United States
- Volunteers
- 300 people
- Sponsor
- University of Pittsburgh
Metastases, Neoplasm
Radiomics for Prediction of Long Term Survival and Local Failure After Stereotactic Radiotherapy for Brain Metastases
Published prognostic scores have limitations in prediction of long term survival after stereotactic radiotherapy for brain metastases. Moreover, no validated tools are available for prediction of local failure.
- Trial name
- NCT02265549
- Where
- Netherlands
- Volunteers
- 155 people
- Sponsor
- Maastricht Radiation Oncology