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Research on Evaluation of Treatment Response to Active Pulmonary Tuberculosis with Ultra Low Dose CT Based on Deep Learning

Research on Evaluation of Treatment Response to Active Pulmonary Tuberculosis with Ultra Low Dose CT Based on Deep Learning

Status
Active, not recruiting
Phases
Early Phase 1
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2400088684
Enrollment
Unknown
Registered
2024-08-23
Start date
2024-08-23
Completion date
Unknown
Last updated
2024-08-26

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

Conditions

pulmonary tuberculosis

Interventions

Sponsors

the Fifth Affiliated hospital of Sun Yat-sen University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
22 Years to 99 Years

Inclusion criteria

Inclusion criteria: 1: Voluntary signing of informed consent form 2: Patients over 22 years old 3: Tuberculosis patients diagnosed according to the Health Industry Standards of the People's Republic of China - Diagnostic Criteria for Pulmonary Tuberculosis 4: The previous imaging showed characteristics of active pulmonary tuberculosis (tree bud sign, ground glass, consolidation, thick walled cavity, etc.); (5) Receiving standardized anti tuberculosis treatment 5: Simultaneously undergo routine dose CT and ULDCT examinations

Exclusion criteria

Exclusion criteria: 1: Simultaneously suffering from other infectious lesions in the lungs 2: Pregnant or planned pregnant patients within one year 3: CT images do not meet the requirements (severe artifacts)

Design outcomes

Primary

MeasureTime frame
contrast to noise ratio;Lesion clarity;The accuracy of determining lesion changes;Image noise;

Secondary

MeasureTime frame
radiation dosage;

Countries

China

Contacts

Public ContactMingzhu Liang

the Fifth Affiliated hospital of Sun Yat-sen University

liangmzh5@mail.sysu.edu.cn+86 137 9897 4827

Outcome results

None listed

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