Intelligent Ultrasound Diagnostic System for Neuroblastoma in Children
ClinicalTrials.gov Studies
Summary
NCT07549425 is an observational clinical trial registered by NIH through ClinicalTrials.gov, evaluating an intelligent ultrasound diagnostic system for childhood neuroblastoma. The study aims to build a predictive model using ultrasound images to distinguish pathological subtypes of neuroblastic tumors and to establish multimodal fusion models incorporating clinical and pathological features for high-risk patient identification, bone marrow metastasis prediction, and therapeutic effect estimation. The trial seeks to enable systematic and intelligent assessment supporting clinical risk stratification and individualized treatment decisions for pediatric neuroblastoma patients.
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What changed
This document registers a new observational clinical trial on ClinicalTrials.gov, NCT07549425, sponsored by NIH. The study will construct and validate an intelligent ultrasound diagnostic system designed to analyze neuroblastoma tumors in children using prediction models based on ultrasound imaging and multimodal fusion of clinical and pathological features.
Healthcare providers, clinical researchers, and medical device developers in pediatric oncology should note this trial represents a research initiative developing AI-assisted diagnostic imaging technology for neuroblastoma, a cancer of the peripheral nervous system that primarily affects children. The study's outcomes may inform future diagnostic approaches but do not currently impose compliance obligations on regulated entities.
Archived snapshot
Apr 25, 2026GovPing captured this document from the original source. If the source has since changed or been removed, this is the text as it existed at that time.
Construction and Validation of an Intelligent Ultrasound Diagnostic System for the Spectrum of Neuroblastoma in Children
Observational NCT07549425 Kind: OBSERVATIONAL Apr 24, 2026
Abstract
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:
- Can the prediction model of neuroblastoma tumors (NTs) in children based on ultrasound images distinguish each pathological subtype?
- 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?
- 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
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