Clinical trial · Observational
Construction and Validation of an Intelligent Ultrasound Diagnostic System for the Spectrum of Neuroblastoma in Children
Construction and Validation of an Intelligent Ultrasound Diagnostic System for the Spectrum of Neuroblastoma in Children: A Multicenter Study
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
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
Conditions (1)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Neuroblastic Tumors | Neuroblastic Tumor | ONTOLOGY_EXACT | 0.98 |
Interventions
Interventions (0)
Data not yet available
Design
Arms and outcomes
Arms (3)
- label
- training set
- description
- The dataset from the Children's Hospital of Zhejiang University School of Medicine is planned to be randomly divided into a training set and an internal validation set in a ratio of 7:3.
- label
- internal validation set
- description
- The dataset from the Children's Hospital of Zhejiang University School of Medicine is planned to be randomly divided into a training set and an internal validation set in a ratio of 7:3.
- label
- independent external validation set
- description
- Data from the Children's Hospital Affiliated to Soochow University, Kunming Children's Hospital, and Anhui Provincial Children's Hospital were combined as an independent external validation set.
Primary outcomes (4)
- measure
- F1 score
- timeFrame
- Within one week after the model training is completed, calculations are conducted respectively on the internal validation set and the independent external validation set.
Eligibility
Eligibility (as posted)
- Sex
- All
- Maximum age
- 18 Years
Show eligibility criteria text
Inclusion Criteria: 1. The diagnosis of NTs was confirmed by surgical resection or biopsy with histopathological examination, and the type was classified as NB, GNB or GN according to the INPC standard. 2. Age ≤ 18 years old, with no gender restrictions. 3. There are complete abdominal (or primary site) ultrasound images archived, in original DICOM or JPG format, with image quality meeting the analysis requirements. 4. Complete clinical and pathological data relevant to the research purpose are available. Exclusion Criteria: 1. The patient has previously undergone surgical resection treatment in another hospital, but the tumor recurred or remained after the operation. 2. Poor quality of ultrasound images: There are artifacts that seriously affect the identification of tumor contours or feature extraction, image blurring, or incomplete display of the lesion. 3. Severe data deficiency: Key clinical pathological data or imaging data are missing, making it impossible to extract and analyze the required information.
References
Publications (0)
Data not yet available