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The full-process artificial intelligence model for preoperative diagnosis, intraoperative path planning, and postoperative evaluation of lung nodule-like precancerous lesions and lung cancer with Co-ablation

The full-process artificial intelligence model for preoperative diagnosis, intraoperative path planning, and postoperative evaluation of lung nodule-like precancerous lesions and lung cancer with Co-ablation

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600122190
Enrollment
Unknown
Registered
2026-04-10
Start date
2026-04-10
Completion date
Unknown
Last updated
2026-04-14

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

Conditions

Pulmonary Nodule

Interventions

Pulmonary nodule observation group:None

Sponsors

Peking University People’s Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 95 Years

Inclusion criteria

Inclusion criteria: 1. Age range: 18 - 95 years old. Diagnosed with GGNs (including AAH, AIS, MIA) or early-stage lung cancer (T1N0M0) through imaging or pathological examination. 2. Received combined cold and hot ablation treatment (using Kangbo knife equipment).

Exclusion criteria

Exclusion criteria: 1.A history of thoracic radiotherapy, severe cardiopulmonary dysfunction. 2.Those who are unable to cooperate with follow-up or with substandard imaging quality.

Design outcomes

Primary

MeasureTime frame
Complete ablation rate;—

Secondary

MeasureTime frame
Complication rate;Surgical duration;The decline in FEV1 12 months after the surgery;—

Countries

China

Contacts

Public ContactLibao Hu

Peking University People’s Hospital

hulibao@bjmu.edu.cn+86 158 1029 8345

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Apr 17, 2026