Spectral Precise Image Study for Brain Tumors
NCT07620470 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 120
Last updated 2026-06-02
Summary
The goal of this observational study is to explore the image quality of spectral CT deep learning reconstruction technology (Spectral Precise Image) of patients with confirmed brain tumors.
The main question it aims to answer is:
The Image Quality (IQ) and diagnostic confidence of Spectral Precise Image reconstructions
Conditions
Interventions
- DEVICE
-
This is an observational data collection study
This is an observational data collection study
Sponsors & Collaborators
-
Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
collaborator OTHER -
Philips Clinical & Medical Affairs Global
lead INDUSTRY
Principal Investigators
-
Jing Wang · 1277 Jiefang Avenue, Wuhan, Hubei Province, P. R. China
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2025-11-28
- Primary Completion
- 2026-08-30
- Completion
- 2026-12-31
- FDA Device
- Yes
Countries
- China
Study Locations
More Related Trials
-
OSPM-Enhanced AI Model to Identify Premalignant and Malignant Ocular Surface Tumors
NCT06567028 ·Status: COMPLETED
-
Clinical Application Value of Deep Learning-Based "Opportunistic Screening" for Malignant Tumors on Routine Non-Contrast Chest-Abdomen-Pelvis CT
NCT07639567 ·Status: NOT_YET_RECRUITING
-
Machine Learning to Predict Postoperative Pneumonia in Brain Tumor Patients
NCT07321262 ·Status: COMPLETED
-
Research of Pathological Imaging Diagnosis of Ocular Tumors Based on New Artificial Intelligence Algorithm
NCT04695015 ·Status: UNKNOWN
-
Deep Learning Magnetic Resonance Imaging Radiomics for Diagnostic Value of Hepatic Tumors in Infants
NCT05170282 ·Status: UNKNOWN
-
Predicting Immunotherapy Response and Survival of Lung Cancer Patients Using Artificial Intelligence and Radiomics (Radiology-AI-Lung)
NCT07059923 ·Status: RECRUITING
-
Predicting Immunotherapy Response and Survival of Liver Cancer Patients Using Artificial Intelligence and Radiomics (Radiology-AI-Liver)
NCT07059936 ·Status: RECRUITING
-
Exploring the Association of Imaging and Tumor Microenvironment in Urologic Cancer Using Radiogenomic Approach(Radiogenomics-Urinary)
NCT06537037 ·Status: RECRUITING
-
Artificial Intelligence Neuropathologist
NCT05300113 ·Status: UNKNOWN
-
Automated Segmentation and Volumetry for Meningioma Using Deep Learning
NCT05093751 ·Status: COMPLETED
-
Deep Learning Signature for Predicting Aggressive Histological Pattern in Resected Non-small Cell Lung Cancer
NCT05925738 ·Status: UNKNOWN
-
Combing a Deep Learning-Based Radiomics With Liquid Biopsy for Preoperative and Non-invasive Diagnosis of Glioma
NCT05536024 ·Status: UNKNOWN
-
Deep Learning Reconstruction Algorithms in Dual Low-dose CTA
NCT06372756 ·Status: RECRUITING
-
Artificial Intelligence-supported Reading Versus Standard Double Reading for the Interpretation of Magnetic Resonance Imaging in the Detection of Local Recurrence for Nasopharyngeal Carcinoma: a Randomised Controlled Multicenter Study
NCT06356441 ·Status: NOT_YET_RECRUITING
-
AI-guided Prognostication and Cranial Radiotherapy Optimization in EGFR-TKI-treated Non-small Cell Lung Cancer Patients With Baseline Brain Metastases
NCT06604689 ·Status: RECRUITING
-
Intra-operative Hyperspectral Imaging in Neurosurgery
NCT05294185 ·Status: RECRUITING
-
Radiomic and Pathomic Study of Pituitary Adenoma Using Machine Learning
NCT05108064 ·Status: UNKNOWN
-
The Value of Preoperative Diagnosis and Prognostic Prediction Based on Radiomics of Giant Cell Tumor of Spine
NCT04952818 ·Status: COMPLETED
-
Multicenter Prospective Study on MRI AI Model for Midline Glioma Subtyping and Prognosis:
NCT07608003 ·Status: RECRUITING
-
The Application Value of Artificial Intelligence in MRI Precision Diagnosis and Treatment of Bladder Cancer
NCT05096533 ·Status: UNKNOWN
-
Deep Learning Signature for Predicting Complete Pathological Response to Neoadjuvant Chemoimmunotherapy in Non-small Cell Lung Cancer
NCT05925751 ·Status: UNKNOWN
-
A Nomogram for Predicting the Diagnosis of Central Malignant Tumors Based on Preoperative Clinical Characteristics and Laboratory Indicators:
NCT06914700 ·Status: COMPLETED
-
Application of Radiomics-based AI Models in Predicting Clinical Outcome of Patients With Renal Cell Carcinoma After Surgical Treatment
NCT07118813 ·Status: RECRUITING
-
The Value of Artificial Intelligence-based 18F-FDG PET/CT in Diferential Diagnosis, Efficacy Prediction and Prognosis Prediction of T-NK Cell Lymphoma: a Clinical Study
NCT06747299 ·Status: NOT_YET_RECRUITING
-
Classification of Benign and Malignant Lung Nodules Based on CT Raw Data
NCT04241614 ·Status: COMPLETED