Construction and Validation of an Intelligent Ultrasound Diagnostic System for the Spectrum of Neuroblastoma in Children
NCT07549425 · Status: ACTIVE_NOT_RECRUITING · Type: OBSERVATIONAL · Enrollment: 300
Last updated 2026-04-24
Summary
The goal of this observational study is to build an intelligent ultrasound diagnostic system that integrates pathological typing, risk stratification and prognosis assessment. The main question it aims to answer is:
1. Can the prediction model of neuroblastoma tumors (NTs) in children based on ultrasound images distinguish each pathological subtype?
2. Can the multimodal fusion model established based on clinical and pathological features identify high-risk patients, predict bone marrow metastasis, and estimate the therapeutic effect?
3. Can this ultrasound diagnostic system achieve a systematic and intelligent assessment of NTs patients to assist in clinical risk stratification and individualized treatment decisions?
Conditions
- Neuroblastic Tumors
Sponsors & Collaborators
-
The Children's Hospital of Zhejiang University School of Medicine
lead OTHER
Eligibility
- Max Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2026-01-01
- Primary Completion
- 2026-04-30
- Completion
- 2026-09-30
Countries
- China
Study Locations
More Related Trials
-
Brain Tumor Intraoperative Ultrasound Database
NCT05062772 ·Status: COMPLETED
-
OSPM-Enhanced AI Model to Identify Premalignant and Malignant Ocular Surface Tumors
NCT06567028 ·Status: COMPLETED
-
Research of Pathological Imaging Diagnosis of Ocular Tumors Based on New Artificial Intelligence Algorithm
NCT04695015 ·Status: UNKNOWN
-
Histopathology Images Based Survival Prediction of Glioma Patients Using Artificial Intelligence
NCT04215224 ·Status: RECRUITING
-
Multimodal Imaging Analysis of Spinal Tumors
NCT04955522 ·Status: COMPLETED
-
Children's and Adolescents' Medulloblastoma Molecular Subgroups in China
NCT03288168 ·Status: UNKNOWN
-
Risk Stratification of Orbital Tumors Based on MRl and Artificial Intelligence
NCT06336499 ·Status: COMPLETED
-
Evaluate the Safety and Preliminary Efficacy of the Combination of NaviFUS System With Re-irradiation for rGBM Patients
NCT04988750 ·Status: COMPLETED ·Phase: NA
-
Clinical Evaluation of Navigated 3D Ultrasound Multicentre Study
NCT00233350 ·Status: COMPLETED
-
Radiomics-Based Non-Invasive MRI Differentiation of Uterine Sarcomas and Fibroids
NCT07129005 ·Status: ENROLLING_BY_INVITATION
-
Artificial Intelligence Neuropathologist
NCT05300113 ·Status: UNKNOWN
-
The Efficacy of WVI in Patients With Localized Basal Ganglia Intracranial Germ Cell Tumors
NCT05124951 ·Status: RECRUITING ·Phase: PHASE2
-
Deep Learning Magnetic Resonance Imaging Radiomics for Diagnostic Value of Hepatic Tumors in Infants
NCT05170282 ·Status: UNKNOWN
-
A Prospective Validation Study of Radiomics in the Differential Diagnosis of Uterine Leiomyoma and Uterine Sarcoma
NCT07269535 ·Status: NOT_YET_RECRUITING
-
Radiomic and Pathomic Study of Pituitary Adenoma Using Machine Learning
NCT05108064 ·Status: UNKNOWN
-
Molecular Analysis of Samples From Patients With Diffuse Intrinsic Pontine Glioma and Brainstem Glioma
NCT01106794 ·Status: RECRUITING
-
Using Positron Emission Tomography to Predict Intracranial Tumor Growth in Neurofibromatosis Type II Patients
NCT01222728 ·Status: COMPLETED
-
Evaluation of Effectiveness of CyberKnife Stereotactic Radiosurgery for Spinal Tumors
NCT04192383 ·Status: UNKNOWN
-
Immunomonitoring of Children With Neuroblastoma
NCT01295762 ·Status: UNKNOWN ·Phase: NA
-
The Value of Preoperative Diagnosis and Prognostic Prediction Based on Radiomics of Giant Cell Tumor of Spine
NCT04952818 ·Status: COMPLETED
-
Hierarchical Diagnosis for Adult Diffuse Glioma Based on Deep Learning
NCT05624736 ·Status: UNKNOWN
-
Establishment of a Decision Aid Tool for Asymptomatic Small Leiomyoma and Analysis of Influencing Factors for Clinical Decision-making Using HIFU
NCT05500118 ·Status: RECRUITING
-
68Ga-DOTATATE Neuroblastoma Imaging Pilot
NCT04559217 ·Status: RECRUITING ·Phase: PHASE2
-
Diagnostic Efficiency of Artificial Intelligence for Surgical Neuropathology
NCT04671368 ·Status: UNKNOWN ·Phase: NA
-
Free Nonvascularized Fibula Autograft for Tumor-like Lesions in Femoral Neck Using in Pediatric Patients
NCT03129230 ·Status: COMPLETED ·Phase: NA