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Trial Title: Validating Artificial Intelligence Effectiveness Defined Lung Nodule Malignancy Score in Patients With Pulmonary Nodule.

NCT ID: NCT05817110

Condition: Lung Malignancy

Conditions: Official terms:
Neoplasms
Multiple Pulmonary Nodules

Conditions: Keywords:
Artificial Intelligence
Lung malignancy nodule score
Pulmonary Nodule
qXR-LNMS
Lung Cancer
Lung RADS
CT scan

Study type: Observational

Overall status: Recruiting

Study design:

Time perspective: Prospective

Intervention:

Intervention type: Other
Intervention name: Participant Cohort
Description: Patients coming to the facility for chest x-rays for any reason, will undergo x-rays as ordered by their treating clinician. In case of any nodule detection by qXR, it will be classified either as low-risk (Lung nodule malignancy score ) LNMS or high-risk LNMS confirmed by radiologist. Then if patient is eligible will be included in the study and a CT Scan will be requested upon enrolment of the patient.
Arm group label: Computed tomography Cohort

Summary: Artificial intelligence (AI) based algorithms have demonstrated increased accuracy in predicting the risk of Lung Cancer among patients with an incidental pulmonary nodule (IPN) on chest radiographs. Qure.ai, an AI company specializing in the reading of chest X- Rays (CXRs) by a proprietary algorithm and has developed a new model, qXR, that can report the lung nodule malignancy score (LNMS) based on lung nodule features. Our study aims to prospectively validate the lung nodule malignancy score against radiologist assessment of CT scans and Lung CT Screening Reporting and Data System score (Lung-RADS).(lung RADS score explained below) Thus, lung nodule malignancy score (interpreted by qXR as a high or low category) will be compared with radiologist-based assessment probability of CT scan and Lung-RADS assessment. The results of this prospective observational study will pave the way for improved nodule management, leading to better clinical outcomes in patients with incidental pulmonary nodule (IPNs), especially concerning malignancy assessment.

Detailed description: A multicentric, multinational, prospective, observational study to validate qXR-Lung nodule malignancy score as a binary categorization of the risk of Lung cancer as high or low among patients with an incidental pulmonary nodule (IPN) on chest radiographs. The study will be implemented across selected countries in the AstraZeneca International Region (e.g., Philippines, Malaysia, Saudi Arabia, United Arab Emirates, Kuwait, Thailand, Taiwan, Hong Kong, India, Brazil, Argentina, Colombia). Patients coming to the facility for x-rays for any reason will undergo x-rays as ordered by their treating clinician. Adult patients diagnosed with incidental pulmonary nodule( IPN) on Chest X-ray (CXR) with nodule size ≥8 and ≤30 mm, will be invited to participate in the study and enrolled after obtaining their written informed consent. In case of any nodule detection by qXR, it will be classified either as low-risk Lung nodule malignancy score (LNMS) or high-risk LNMS. The X-ray reporting physician will decide the qXR report for the presence of a nodule. CT scan will be performed after obtaining consent for the low-dose CT scan from patients.The clinical site's radiologist and an independent radiologist not associated with the clinical site will report the CT scan and the qXR-LNMS category. Radiologists' interpretation will be based on examining a nodule on a CT scan film (naked eye examination). Radiologists will first rate their CT scan interpretation of the nodule on the Likert scale as: non-malignant: 1; probable non-malignant: 2; uncertain: 3; probable malignant: 4; malignant: 5. In addition, the radiologists will assign a Lung-RADS and then give an overall assessment of the risk of malignancy as high or low. . This study is minimal to no risk to the patient. The study duration for a participant will be approximately 30 months from the enrolment. The study will have 2 phases. Phase 1 will be from enrolment until CT data collection. The CT data collection day will end Phase 1 (End of Phase-1). Phase 2 will be from CT data collection until 24 months from CT which is the end of Phase 2. The study visits in this period will be per clinical follow-up and will not be mandatory.

Criteria for eligibility:

Study pop:
Adults patient (35years or more) coming for chest X-ray at the institution.

Sampling method: Probability Sample
Criteria:
Inclusion Criteria: - Male or female patients aged >35 years - Patients diagnosed with incidental pulmonary nodule (IPN) on CXR (chest x-ray) by qXR and confirmed by the radiologist at the site with nodule size ≥8 and ≤30 mm. Exclusion Criteria: - Any medical or other contraindications for a CT scan - Nondigital (chest x-ray)CXR - CT scan is done more than 6 months after (chest x-ray) CXR - Patients with already diagnosed lung cancer - The patients referred for an X-Ray for a suspicious Lung cancer - A patient who already participated in the study.

Gender: All

Minimum age: 35 Years

Maximum age: N/A

Healthy volunteers: No

Locations:

Facility:
Name: Research Site

Address:
City: Alexandria
Country: Egypt

Status: Not yet recruiting

Facility:
Name: Research Site

Address:
City: Cairo
Country: Egypt

Status: Not yet recruiting

Facility:
Name: Research Site

Address:
City: New Delhi
Zip: 110005
Country: India

Status: Recruiting

Facility:
Name: Research Site

Address:
City: New Delhi
Zip: 110017
Country: India

Status: Recruiting

Facility:
Name: Research Site

Address:
City: New Delhi
Zip: 201012
Country: India

Status: Recruiting

Facility:
Name: Research Site

Address:
City: Gurugram
Zip: 122001
Country: India

Status: Recruiting

Facility:
Name: Research Site

Address:
City: Hyderabad
Zip: 500003
Country: India

Status: Recruiting

Facility:
Name: Research Site

Address:
City: Bangalore
Zip: 560011
Country: India

Status: Recruiting

Facility:
Name: Research Site

Address:
City: Bangalore
Zip: 560038
Country: India

Status: Recruiting

Facility:
Name: Research Site

Address:
City: Chennai
Zip: 600026
Country: India

Status: Recruiting

Facility:
Name: Research Site

Address:
City: Chennai
Zip: 600040
Country: India

Status: Recruiting

Facility:
Name: Research Site

Address:
City: Chennai
Zip: 600045
Country: India

Status: Recruiting

Facility:
Name: Research Site

Address:
City: Chennai
Zip: 600053
Country: India

Status: Recruiting

Facility:
Name: Research Site

Address:
City: Chennai
Zip: 600116
Country: India

Status: Recruiting

Facility:
Name: Research Site

Address:
City: Kolkata
Zip: 700025
Country: India

Status: Recruiting

Facility:
Name: Research Site

Address:
City: Mumbai
Zip: 400069
Country: India

Status: Recruiting

Facility:
Name: Research Site

Address:
City: Pune
Zip: 411011
Country: India

Status: Active, not recruiting

Facility:
Name: Research Site

Address:
City: Surabaya
Zip: 60286
Country: Indonesia

Status: Recruiting

Facility:
Name: Research Site

Address:
City: Monterrey
Zip: 64460
Country: Mexico

Status: Recruiting

Facility:
Name: Research Site

Address:
City: Mexico City
Zip: 6720
Country: Mexico

Status: Not yet recruiting

Facility:
Name: Research Site

Address:
City: Ankara
Zip: 06100
Country: Turkey

Status: Recruiting

Facility:
Name: Research Site

Address:
City: Mersin
Zip: 33010
Country: Turkey

Status: Not yet recruiting

Start date: April 20, 2023

Completion date: September 30, 2026

Lead sponsor:
Agency: AstraZeneca
Agency class: Industry

Source: AstraZeneca

Record processing date: ClinicalTrials.gov processed this data on November 12, 2024

Source: ClinicalTrials.gov page: https://clinicaltrials.gov/ct2/show/NCT05817110

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