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AI and Robotics-Based CT-Guided Lung Nodule Cryoablation Assistance System Development

AI and Robotics-Based CT-Guided Lung Nodule Cryoablation Assistance System Development

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600123255
Enrollment
Unknown
Registered
2026-04-23
Start date
2026-05-01
Completion date
Unknown
Last updated
2026-04-27

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

lung nodule

Interventions

Observation group:None

Sponsors

Beijing Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: 1. Age >= 18 years old; 2. Pathologically confirmed primary malignant lung tumor, determined to be early-stage (AJCC 9th edition stage IA, tumor diameter = 12 months.

Exclusion criteria

Exclusion criteria: Comorbid Malignant Neoplasm

Design outcomes

Primary

MeasureTime frame
Preoperative AI Segmentation Accuracy (DSC), Rationality and Safety of Path Planning (Compared to Expert Planning, Obstacle Avoidance Success Rate), Targeting Accuracy of Robotic-Guided Percutaneous Biopsy (TRE < 2mm as Target), Intraoperative Ice Ball Segmentation Monitoring Accuracy (Volume Error < 10%), and Overall Operational Workflow Efficiency and Stability.;Overall operation process time consumption and stability;Accuracy of intraoperative iceball segmentation monitoring (volume error < 10%);Robotic-guided puncture target accuracy (TRE < 2mm as the goal);Rationality and safety of path planning (compared with expert planning, obstacle avoidance success rate);—

Countries

China

Contacts

Public ContactXiaoguang Li

Beijing Hospital

xglee88@126.com+86 10 8513 2997

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: May 1, 2026