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Mobile Lung Nodule Observatory for Worldwide, Evidenced-based Research

Mobile Lung Nodule Observatory for Worldwide, Evidenced - Based Research

Status
UNKNOWN
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT02693496
Acronym
mLOWER
Enrollment
10000
Registered
2016-02-26
Start date
2015-10-31
Completion date
2025-10-31
Last updated
2018-08-07

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

Conditions

Solitary Pulmonary Nodule

Keywords

ResearchKit, CT screening, Early Diagnosis, Lung Cancer

Brief summary

Patients with lung nodules may develop a variety of potentially severe symptoms. These symptoms may impact a patient's quality of life and lead to difficult treatment. Through this research program, the investigators want to understand the pathogenesis of the changes of these symptoms.

Detailed description

Lung nodules can manifest as single or multiple independent lung consolidation shadow in form of quasi-circular. These lung nodules are surrounded by normal lung tissues, and will not cause pulmonary atelectasis. In some early standards, all the quasi-circular shadows within 6cm found in lung are categorized as lung nodules. However, according to current standards, the lesion within 3cm can be identified as lung nodules. With widespread use of lung cancer CT screening, lung nodules were identified more and more frequently. What is the optimal way to manage this CT finding? Should we adopt surgical removal or just observation? An optimal solution is to determine a clearly defined standard of care that is easy to learn. We propose a method called three plus two. The 'Three' is a three-step testing method, and the 'Two' means two alternative solutions. Three-step testing method includes collecting medical history, non-invasive examination, and invasive examination. The two alternative solutions are surgical removal and follow-up observation. We have independently developed an application based on a smartphone platform. This platform will provide a novel evidence-based research method for observing the dynamic evolution of the lung nodules in patients. There have been no prior studies about managing this CT scan finding, either in China or internationally.

Interventions

OTHERInstallation or registration of smartphone application

Completed the installation and registration of mobile terminal software online

Sponsors

Chinese Alliance Against Lung Cancer
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to 90 Years
Healthy volunteers
No

Inclusion criteria

* Age between 18 and 90 * There is a chest lesion less than 3cm width (examined by Thin-Section CT) * The patient or his family member owns a smartphone * Signed informed consent * Completed the installation and registration of mobile terminal software online * Willing to complete a 10-year period of follow-up

Exclusion criteria

* Not equipped with a smartphone * Cannot complete the installation or registration of smartphone application software online * Received prior chemotherapy medications for lung cancer or received lung surgical removal treatment

Design outcomes

Primary

MeasureTime frameDescription
To compare the diagnostic accuracy among different type of lung nodules.10 yearsUtilizing the professional statistical software (SPSS 15.0), through T-test, Mann-Whitney U test, and analyzing the receiver operating characteristic (ROC) curve, to compare the diagnostic accuracy among different type of lung nodules. A p\<0.05 cutoff will be the standard used to determine statistical significance.

Countries

China

Contacts

Primary ContactChunxue Bai, M.D, Ph.D
bai.chunxue@zs-hospital.sh.cn+86 186-2117-0011

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026