# Deep Learning Time-Series Prediction of Long-Term Growth Patterns of Pulmonary Ground-Glass Nodules Using Serial CT

> **NCT07647692** · — · NOT_YET_RECRUITING · sponsor: **Peking University People's Hospital** · enrollment: 4750 (estimated)

## Conditions studied

- Pulmonary Nodules
- Lung Neoplasms
- Adenocarcinoma of Lung

## Interventions

- **DIAGNOSTIC_TEST:** Serial Thin-Slice Chest CT

## Key facts

- **NCT ID:** NCT07647692
- **Lead sponsor:** Peking University People's Hospital
- **Sponsor class:** OTHER
- **Phase:** —
- **Study type:** OBSERVATIONAL
- **Status:** NOT_YET_RECRUITING
- **Start date:** 2026-06-01
- **Primary completion:** 2027-06-01
- **Final completion:** 2031-06-01
- **Target enrollment:** 4750 (ESTIMATED)
- **Last updated:** 2026-06-15


## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT07647692

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT07647692, "Deep Learning Time-Series Prediction of Long-Term Growth Patterns of Pulmonary Ground-Glass Nodules Using Serial CT". Retrieved via MORVS 2026-10-20 from https://api.morvs.ai/clinical/NCT07647692. Licensed CC0.

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*[Clinical trials dataset](/datasets/clinical-trials) · CC0 1.0*