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Deep Learning Signature for Predicting Aggressive Histological Pattern in Resected Non-small Cell Lung Cancer

NCT ID: NCT05925738

Last Updated: 2023-06-29

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

UNKNOWN

Total Enrollment

1500 participants

Study Classification

OBSERVATIONAL

Study Start Date

2023-05-01

Study Completion Date

2023-10-31

Brief Summary

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The purpose of this study is to evaluate the performance of a PET/ CT-based deep learning signature for predicting aggressive histological pattern in resected non-small cell lung cancer based on a multicenter prospective cohort.

Detailed Description

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Conditions

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Non-small Cell Lung Cancer Spread Through Air Space Visceral Pleural Invasion Lymphovascular Invasion

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Interventions

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PET/CT-based Deep Learning Signature

Deep Learning Signature Based on PET-CT for Predicting the Aggressive Histological Pattern in Resected Non-small Cell Lung Cancer

Intervention Type DIAGNOSTIC_TEST

Eligibility Criteria

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Inclusion Criteria

(1) Participants scheduled for surgery for radiological finding of pulmonary lesions from the preoperative thin-section CT scans; (2) Pathological confirmation of primary NSCLC; (3) Age ranging from 20-75 years; (4) Obtained written informed consent.

Exclusion Criteria

(1) Multiple lung lesions; (2) Poor quality of PET-CT images; (3) Participants with incomplete clinical information; (4) Participants who have received neoadjuvant therapy.
Minimum Eligible Age

20 Years

Maximum Eligible Age

75 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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Ningbo No.2 Hospital

OTHER

Sponsor Role collaborator

Zunyi Medical College

OTHER

Sponsor Role collaborator

The First Affiliated Hospital of Nanchang University

OTHER

Sponsor Role collaborator

Shanghai Pulmonary Hospital, Shanghai, China

OTHER

Sponsor Role lead

Responsible Party

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Chang Chen

Professor

Responsibility Role PRINCIPAL_INVESTIGATOR

Locations

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Affiliated Hospital of Zunyi Medical University

Zunyi, Guizhou, China

Site Status RECRUITING

The First Affiliated Hospital of Nanchang University

Nanchang, Jiangxi, China

Site Status RECRUITING

Ningbo HwaMei Hospital

Ningbo, Zhejiang, China

Site Status RECRUITING

Countries

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China

Facility Contacts

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Yongxiang Song, Dr

Role: primary

Bentong Yu, Dr

Role: primary

Minglei Yang, Dr

Role: primary

Other Identifiers

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DLAHP

Identifier Type: -

Identifier Source: org_study_id