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A study using Artificial Intelligence (AI) to differentiate between infection and cancer in PET/CT scans of the lung, head and neck, and breast

Developing Predictive Models for Classifying Infection vs. Malignancy in PET/CT Imaging of Lung, Head and Neck, and Breast Cancer - NIL

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CTRI
Registry ID
CTRI/2025/11/097157
Enrollment
200
Registered
2025-11-11
Start date
Unknown
Completion date
Unknown
Last updated
2025-11-17

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

Conditions

Health Condition 1: A00-B99- Certain infectious and parasitic diseases Health Condition 2: C50-C50- Malignant neoplasms of breast Health Condition 3: C00-C14- Malignant neoplasms of lip, oral cavity and pharynx Health Condition 4: C30-C39- Malignant neoplasms of respiratory and intrathoracic organs

Interventions

Intervention1: Nil: Nil

Sponsors

Manipal Institute of Technology
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: 1. Histopathologically confirmed cases (via biopsy or FNAC) of carcinoma of the lung, breast, or head and neck. 2. Patients undergoing 18F-FDG PET/CT imaging for: Staging or restaging of malignancy; Evaluation of Pyrexia of Unknown Origin (PUO) and/or suspected infectious pathology; Assessment of imaging heterogeneity in known malignancies; 3. Availability of complete PET/CT imaging data in DICOM format 4. Availability of relevant clinical records

Exclusion criteria

Exclusion criteria: 1. Incomplete or poor-quality PET/CT imaging 2. Missing or inadequate clinical data 3. Pregnant women and lactating women

Design outcomes

Primary

MeasureTime frame
Improved diagnostic precision in differentiating infection from malignancyTimepoint: 3 years—

Secondary

MeasureTime frame
NILTimepoint: NIL—

Countries

India

Contacts

Public ContactDr Hareesha K S

Kasturba Medical College

ananth.pai@manipal.edu9880239139

Outcome results

None listed

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