AI-Based Personalized Digital Management for High-Risk Pulmonary Nodule Follow-up

NCT07805434 | Not Yet Recruiting

• 1 other identifier: LINC-LUNG-01
• Study Type: interventional
• Target: 4,000
• Locations: 0 countries
• Sites: N/A

Brief Summary

The goal of this pragmatic clinical trial is to learn whether AI-based personalized digital management can help patients with high-risk pulmonary nodules complete appropriate follow-up care. The study will include adults aged 40 years or older whose pulmonary nodules were identified on chest CT scans already performed at the hospital for clinical care, health examinations, or other reasons. The hospital's AI-based lung nodule evaluation system will be used to identify nodules classified as high risk. Patients who have already completed follow-up or entered an active pulmonary nodule management pathway will not be included. The main question this study aims to answer is: \- Does personalized digital management increase the proportion of patients who complete appropriate pulmonary nodule follow-up within 16 weeks after randomization compared with usual care? Researchers will compare personalized digital management with usual care. Participants will be randomly assigned in a 1:1 ratio to one of the following groups:

• The personalized digital management group will receive individualized information about the pulmonary nodule and recommendations for appropriate follow-up through the hospital's official WeChat account.
• The usual care group will not receive the study-specific personalized digital message. Participants in both groups may continue to receive routine clinical care. Participants will:
• Provide electronic informed consent
• Answer a brief questionnaire about pulmonary nodule care received outside the hospital and selected health information, including smoking history
• Continue their usual medical care
• Allow researchers to review relevant hospital records to determine whether pulmonary nodule follow-up was completed The study will not arrange an additional initial chest CT solely for research purposes. Appropriate follow-up may include specialist evaluation, follow-up chest CT, PET/CT, tissue sampling, surgery, or a documented clinical decision that no further evaluation is needed. Researchers will also examine subsequent diagnostic procedures, lung cancer diagnoses, treatments, complications, and longer-term clinical outcomes.

Conditions

Pulmonary Nodules

Outcome Measures

Primary Outcomes (1)

• Pulmonary Nodule Follow-up Completion Within 16 Weeks After Randomization

  The proportion of all randomized participants who complete at least one qualifying pulmonary nodule follow-up event by Day 112. Qualifying events include: (1) chest CT related to the index nodule; (2) pulmonary nodule specialist or multidisciplinary team evaluation with a documented assessment and management plan; (3) PET/CT; (4) bronchoscopy, percutaneous biopsy, or other tissue sampling; (5) surgery, image-guided ablation, or lesion-directed radiotherapy; or (6) documented clinical closure by a qualified clinician after adequate evaluation. Orders or appointments alone do not count. Patient refusal, loss to follow-up, or death alone do not constitute clinical closure. The denominator includes all randomized participants analyzed according to assigned group. Only hospital records or verified outside-hospital records count as completion.

  From randomization through 16 weeks (Day 112)

Secondary Outcomes (14)

• Follow-up Completion Within 30 Days After Randomization

  From randomization through 30 days

• Time From Recommended Management Due Date to First Follow-up Completion

  From randomization through Day 112

• Time From Index Chest CT to First Follow-up Completion

  From index chest CT through Day 112

• Lung Cancer Diagnosis

  From randomization through 12 months

• Diagnostic Closure

  From randomization through 12 months

Study Arms (2)

Personalized Digital Management

EXPERIMENTAL

Following common AI-based identification, eligibility confirmation, and randomization, participants assigned to this arm will receive personalized information about their high-risk pulmonary nodule and recommendations for appropriate specialist follow-up through the hospital's official WeChat account. Participants will otherwise continue routine clinical care.

Behavioral: Personalized Digital Outreach

Usual Care

NO INTERVENTION

Participants assigned to this arm will not receive the study-specific personalized digital information or follow-up recommendations after randomization. They will continue routine clinical care. Standard clinical communication and any necessary safety notifications will remain available.

Interventions

Personalized Digital Outreach BEHAVIORAL

Shortly after randomization, participants receive a study-specific personalized digital message through the hospital's official WeChat account. The message provides understandable information about the participant's AI-classified high-risk pulmonary nodule, explains that a high-risk classification does not establish a diagnosis of lung cancer, and recommends returning to a pulmonary nodule-related specialist for further evaluation. Subsequent imaging, diagnostic procedures, treatment, or observation will be determined by the treating clinician using the official radiology report, prior imaging, and the participant's clinical condition. Message delivery, opening, link clicks, and technical delivery failures will be recorded.

Personalized Digital Management

Eligibility Criteria

• Age: 40 Years+
• Sex: all
• Healthy Volunteers: No
• Age Groups: Adult (18-64), Older Adult (65+)

You may qualify if:

• Age 40 years or older.
• Completion of a chest CT at the study hospital for clinical care, health examination, or another reason.
• At least one pulmonary nodule classified as high risk by the Linc model, with a predicted malignancy probability of 75% or greater. The index CT, index nodule, model version, and risk score must be traceable.
• Follow-up management for the index nodule has not been completed before randomization, and the participant has not entered a clearly documented active pulmonary nodule management pathway.
• Ability to provide valid electronic informed consent and receive study messages through the hospital's official WeChat account.

You may not qualify if:

• Prior or current lung cancer, or ongoing diagnostic evaluation, treatment, postoperative care, or surveillance for the index nodule.
• Active malignancy for which the pulmonary nodule should be evaluated or managed as possible metastatic disease or within another established cancer care pathway.
• Completion before randomization of a qualifying chest CT, pulmonary nodule specialist or multidisciplinary team evaluation, PET/CT, tissue sampling, surgery or lesion-directed treatment, or verified clinical closure related to the index nodule.
• An existing valid order, appointment, referral, or documented active management plan for the index nodule, including active management by thoracic surgery, a pulmonary nodule clinic or multidisciplinary team, oncology, or radiation oncology.
• Maximum diameter of the index lesion greater than 30 mm. These patients will receive standardized safety notification and accelerated specialist referral and will not be randomized.
• Lung-RADS category 4B or 4X, or an equivalent highly suspicious finding, when Lung-RADS is applicable or can be reliably reconstructed, if clinical safety review determines that immediate notification or accelerated clinical care is required.
• Another major clinical safety, ethical, technical, or data-protection concern that cannot be reasonably mitigated.

Sponsors & Collaborators

• The First Affiliated Hospital of Guangzhou Medical University: lead

MeSH Terms

Conditions

Multiple Pulmonary Nodules

Condition Hierarchy (Ancestors)

Lung Neoplasms; Respiratory Tract Neoplasms; Thoracic Neoplasms; Neoplasms by Site; Neoplasms; Lung Diseases; Respiratory Tract Diseases

Study Design

• Study Type: interventional
• Phase: not applicable
• Allocation: RANDOMIZED
• Masking: SINGLE
• Who Masked: OUTCOMES ASSESSOR
• Purpose: HEALTH SERVICES RESEARCH
• Intervention Model: PARALLEL
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Professor

Study Record Dates

• First Submitted: September 1, 2026
• First Posted: September 4, 2026
• Study Start: October 1, 2026
• Primary Completion (Estimated): April 1, 2027
• Study Completion (Estimated): October 1, 2028
• Last Updated: September 4, 2026

Record last verified: 2026-09