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Application of two-way three-dimensional convolutional neural network based on 18F-FDG PET/CT in the identification of benign and malignant pulmonary ground-glass nodules

Application of two-way three-dimensional convolutional neural network based on 18F-FDG PET/CT in the identification of benign and malignant pulmonary ground-glass nodules

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2200062572
Enrollment
Unknown
Registered
2022-08-11
Start date
2022-08-11
Completion date
Unknown
Last updated
2023-04-12

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

Conditions

non-small cell lung cancer

Interventions

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tumor

Sponsors

Changzhou First People's Hospital
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1. Confirm the diagnosis by surgery within 1 month after PET/CT examination, or reduce the volume of benign GGN during CT follow-up; 2. The maximum GGN diameter is less than or equal to 30mm.

Exclusion criteria

Exclusion criteria: 1. Determine whether there is a malignant lesion (stage IB or higher) according to the 8th edition of lung cancer tumor lymph node metastasis (TNM) staging pathological criteria; 2. Poor image quality or low FDG uptake, difficult to measure lesions; 3. History of malignancy in the past 5 years; 4. Severe liver disease or diabetes; 5. postoperative pathological subtypes of atypical adenoma hyperplasia (AAH), adenocarcinoma in situ (AIS), or minimally invasive adenocarcinoma (MIA) type.

Design outcomes

Primary

MeasureTime frame
SUVmax;SUVmean;Tumor metabolic volume, TMV;Total glycolysis, TLG;

Countries

China

Contacts

Public ContactShao Xiaonan
scorey@sina.com+86 13776831531

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026