NCT04676815

Brief Summary

Narrow-Band Imaging (NBI) is useful to better demarcate the superficial extent of central type of lung cancer, but its sensitivity and specificity in clinical practice were little studied. This study aimed to investigate the diagnostic effects of NBI in suspected patients with central lung cancer and its application in staging diagnosis of central lung cancer.

Trial Health

43
At Risk

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Trial has exceeded expected completion date
Enrollment
200

participants targeted

Target at P75+ for all trials

Timeline
Completed

Started Jun 2023

Geographic Reach
1 country

1 active site

Status
unknown

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

December 16, 2020

Completed
5 days until next milestone

First Posted

Study publicly available on registry

December 21, 2020

Completed
2.4 years until next milestone

Study Start

First participant enrolled

June 1, 2023

Completed
6 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

December 1, 2023

Completed
7 months until next milestone

Study Completion

Last participant's last visit for all outcomes

July 1, 2024

Completed
Last Updated

May 23, 2023

Status Verified

May 1, 2023

Enrollment Period

6 months

First QC Date

December 16, 2020

Last Update Submit

May 20, 2023

Conditions

Outcome Measures

Primary Outcomes (1)

  • The specificity of diagnosis of NBI plus electronic bronchoscopy in central type lung cancer

    Abnormal blood vessels or lack of staining is defined as suspected lesions. All the suspected lesions were biopsied.

    4 months

Secondary Outcomes (1)

  • The sensitivity, positive predictive value, and negative predictive value.

    4 months

Study Arms (2)

NBI PATIENT

Diagnostic Test: NBI in combination with electronic bronchoscope

Procedure: NBI and interventional bronchoscopy

Non-NBI PATIENT

Diagnostic Test: Electronic bronchoscope without NBI

Interventions

NBI used to enhance the contrast between the mucosal surface and underlying blood vessels

NBI PATIENT

Eligibility Criteria

Age18 Years - 80 Years
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

HIGH RISK OF CENTRAL TYPE OF LUNG CANCER

You may qualify if:

  • \- Patients had a history or current central lung cancer

You may not qualify if:

  • \- NONE

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Shanghai Pulmonary Hospital

Shanghai, 200433, China

Location

Related Publications (5)

  • Wen S, Dai L, Wang L, Wang W, Wu D, Wang K, He Z, Wang A, Chen H, Zhang P, Dong X, Dong YA, Wang K, Yao M, Wang M. Genomic Signature of Driver Genes Identified by Target Next-Generation Sequencing in Chinese Non-Small Cell Lung Cancer. Oncologist. 2019 Nov;24(11):e1070-e1081. doi: 10.1634/theoncologist.2018-0572. Epub 2019 Mar 22.

  • Global Burden of Disease Cancer Collaboration; Fitzmaurice C, Akinyemiju TF, Al Lami FH, Alam T, Alizadeh-Navaei R, Allen C, Alsharif U, Alvis-Guzman N, Amini E, Anderson BO, Aremu O, Artaman A, Asgedom SW, Assadi R, Atey TM, Avila-Burgos L, Awasthi A, Ba Saleem HO, Barac A, Bennett JR, Bensenor IM, Bhakta N, Brenner H, Cahuana-Hurtado L, Castaneda-Orjuela CA, Catala-Lopez F, Choi JJ, Christopher DJ, Chung SC, Curado MP, Dandona L, Dandona R, das Neves J, Dey S, Dharmaratne SD, Doku DT, Driscoll TR, Dubey M, Ebrahimi H, Edessa D, El-Khatib Z, Endries AY, Fischer F, Force LM, Foreman KJ, Gebrehiwot SW, Gopalani SV, Grosso G, Gupta R, Gyawali B, Hamadeh RR, Hamidi S, Harvey J, Hassen HY, Hay RJ, Hay SI, Heibati B, Hiluf MK, Horita N, Hosgood HD, Ilesanmi OS, Innos K, Islami F, Jakovljevic MB, Johnson SC, Jonas JB, Kasaeian A, Kassa TD, Khader YS, Khan EA, Khan G, Khang YH, Khosravi MH, Khubchandani J, Kopec JA, Kumar GA, Kutz M, Lad DP, Lafranconi A, Lan Q, Legesse Y, Leigh J, Linn S, Lunevicius R, Majeed A, Malekzadeh R, Malta DC, Mantovani LG, McMahon BJ, Meier T, Melaku YA, Melku M, Memiah P, Mendoza W, Meretoja TJ, Mezgebe HB, Miller TR, Mohammed S, Mokdad AH, Moosazadeh M, Moraga P, Mousavi SM, Nangia V, Nguyen CT, Nong VM, Ogbo FA, Olagunju AT, Pa M, Park EK, Patel T, Pereira DM, Pishgar F, Postma MJ, Pourmalek F, Qorbani M, Rafay A, Rawaf S, Rawaf DL, Roshandel G, Safiri S, Salimzadeh H, Sanabria JR, Santric Milicevic MM, Sartorius B, Satpathy M, Sepanlou SG, Shackelford KA, Shaikh MA, Sharif-Alhoseini M, She J, Shin MJ, Shiue I, Shrime MG, Sinke AH, Sisay M, Sligar A, Sufiyan MB, Sykes BL, Tabares-Seisdedos R, Tessema GA, Topor-Madry R, Tran TT, Tran BX, Ukwaja KN, Vlassov VV, Vollset SE, Weiderpass E, Williams HC, Yimer NB, Yonemoto N, Younis MZ, Murray CJL, Naghavi M. Global, Regional, and National Cancer Incidence, Mortality, Years of Life Lost, Years Lived With Disability, and Disability-Adjusted Life-Years for 29 Cancer Groups, 1990 to 2016: A Systematic Analysis for the Global Burden of Disease Study. JAMA Oncol. 2018 Nov 1;4(11):1553-1568. doi: 10.1001/jamaoncol.2018.2706.

  • Subramanian V, Ragunath K. Advanced endoscopic imaging: a review of commercially available technologies. Clin Gastroenterol Hepatol. 2014 Mar;12(3):368-76.e1. doi: 10.1016/j.cgh.2013.06.015. Epub 2013 Jun 28.

  • Ueda T, Dohi O, Naito Y, Yoshida T, Azuma Y, Ishida T, Matsumura S, Kitae H, Takayama S, Mizuno N, Nakano T, Iwai N, Hirose R, Inoue K, Yoshida N, Kamada K, Uchiyama K, Ishikawa T, Takagi T, Konishi H, Nishimura A, Kishimoto M, Itoh Y. Diagnostic performance of magnifying blue laser imaging versus magnifying narrow-band imaging for identifying the depth of invasion of superficial esophageal squamous cell carcinoma. Dis Esophagus. 2021 Mar 8;34(3):doaa078. doi: 10.1093/dote/doaa078.

  • Ueyama H, Kato Y, Akazawa Y, Yatagai N, Komori H, Takeda T, Matsumoto K, Ueda K, Matsumoto K, Hojo M, Yao T, Nagahara A, Tada T. Application of artificial intelligence using a convolutional neural network for diagnosis of early gastric cancer based on magnifying endoscopy with narrow-band imaging. J Gastroenterol Hepatol. 2021 Feb;36(2):482-489. doi: 10.1111/jgh.15190. Epub 2020 Jul 28.

MeSH Terms

Conditions

Lung Neoplasms

Interventions

Narrow Band Imaging

Condition Hierarchy (Ancestors)

Respiratory Tract NeoplasmsThoracic NeoplasmsNeoplasms by SiteNeoplasmsLung DiseasesRespiratory Tract Diseases

Intervention Hierarchy (Ancestors)

Optical ImagingDiagnostic ImagingDiagnostic Techniques and ProceduresDiagnosisInvestigative Techniques

Central Study Contacts

Yayi He, Ph.D, MD

CONTACT

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
PROSPECTIVE
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Associate Chief Physician

Study Record Dates

First Submitted

December 16, 2020

First Posted

December 21, 2020

Study Start

June 1, 2023

Primary Completion

December 1, 2023

Study Completion

July 1, 2024

Last Updated

May 23, 2023

Record last verified: 2023-05

Locations