EICHORCondition: Neuroblastic Tumors · Sponsor: The Children's Hospital of Zhejiang University School of Medicine
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?
This description comes directly from the study's public registry record.
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| Anhui Provincial Children's Hospital | Hefei, Anhui, China | — |
| The Children's Hospital Affiliated to Soochow University | Suzhou, Jiangsu, China | — |
| Kunming Children's Hospital | Kunming, Yunnan, China | — |
| The Children's Hospital of Zhejiang University School of Medicine | Hangzhou, Zhejiang, China | — |
| Zhejiang Cancer Hospital | Hangzhou, Zhejiang, China | — |
| Wenling Institute of Medical Big Data and Artificial Intelligence | Wenling, Zhejiang, China | — |
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Source record: clinicaltrials.gov/study/NCT07549425