Clinical Study of Three Plus Two Type Early Diagnosis of Pulmonary Nodules in Medical Internet of Things

May 13, 2016 updated by: XiaoJu Zhang, Henan Provincial People's Hospital

Multi Center Clinical Study of Three Plus Two Type Early Diagnosis of Pulmonary Nodules in Medical Internet of Things

Medical The Internet of Things (IoT), a recent breakthrough in communication technology, could be helpful in improving health care delivery and saving medical costs, but regarding pulmonary nodule management it is still at the basic understanding. Investigators adopt "Internet of things medical three plus two type pulmonary nodule diagnosis" which chun-xue Bai put forward, used a developed a mobile phone-based IoT (mIoT) platform and initiated a randomized, multicenter, controlled trial to value clinical effectivity of "Internet of things medical three plus two type pulmonary nodule diagnosis" in the management of pulmonary nodules. In this study, at least 600 patients with pulmonary nodules (no typical symptoms, often single, clear boundary, increased density, soft tissue shadow surrounded by lung parenchyma with diameter ≤3 cm) will be randomly allocated to the control group, which receives routine follow-up, or the intervention group, which receives "Internet of things medical three plus two type pulmonary nodule diagnosis" management. Endpoints of the study include: (1) The positive diagnosis rate of lung cancer in I stage; (2) 5 year disease-free survival rate and overall survival rate; (3) direct medical costs per year. Results from this study should provide direct evidence for the suitability of "Internet of things medical three plus two type pulmonary nodule diagnosis" in pulmonary nodules patients management.

Study Overview

Status

Unknown

Conditions

Intervention / Treatment

Detailed Description

The flow chart of the study design is shown in Figure 1.After enrollment, participants are randomly assigned into two groups: the IoT group and the routine management group. For both groups, participants are gathered basic information (age, sex, smoking and smoking status, family history of cancer, family history of lung disease,Other malignant tumor history, drug using history and its effect during a fever). For the IoT group, "three plus two type pulmonary nodule diagnosis" which professor Bai put forward is carried out on participants: three basic steps: ① gather information: smoking history, tumor personal and family history, copd history, etc.; ② noninvasive examination: tumor markers, lung function and chest low-dose CT thin layer; ③ information mining in-depth:through the software for three-dimensional reconstruction of pulmonary nodules, depth excavation, accurate calculation of the density of the volume, assessment of the surrounding and infiltration of lung nodules and related vascular growth status; two solutions: ① Pathological diagnosis in highly suspected participants: fiber bronchoscope, ultrasonic bronchoscope, thoracoscope and CT guided percutaneous lung biopsy, etc; ② Close scientific follow-up to the person who can not be qualitative: doctors follow up and manage participants scientifically in accordance with the follow-up management tables through the Internet of things platform (Researchkit). The routine management group are completely managed by investigators' personal experience.

Follow-up Researchkit APP based on the android phone system and IOS system is installed in the participant's cellphone for free and all participant are trained to use the software. They are allowed to practice until accurate data submission and collection are ascertained. At the same time, an APP instruction is also provided, with one engineer ready for consultation in case of any technical problems. The following measures are carried out via the Internet platform: ① collect the basic information of the subjects, suggest the date of follow-up according to the the subjects' nodule situation; ② health education is pushed to the subjects' mobile terminal to help them carry out self health management; ③ subjects are asked to report their physical conditions once a month via Researchkit APP; ④ communication with medical staff during work hours is available remotely through the mobile device.

Participant are allowed to make unscheduled clinic visits and emergency visits as necessary. The study period is 5 years. The outcomes will be recorded and the superiority of "iot three plus two diagnosis method" in the management of pulmonary nodules will be evaluated.

Study Type

Observational

Enrollment (Anticipated)

600

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Contact Backup

Study Locations

  • China
    • Henan
      • Zhengzhou, Henan, China

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Probability Sample

Study Population

Single or multiple round solitary pulmonary nodules surrounded by lung parenchyma without associated atelectasis, diameter < 3 cm of small pulmonary nodules.

Description

Subjects must meet the following criteria:

Inclusion Criteria:

  1. Over 18 years old;
  2. Single or multiple round solitary pulmonary nodules surrounded by lung parenchyma without associated atelectasis, diameter < 3 cm of small pulmonary nodules;
  3. Patients should be capable of reading and writing Chinese, without impaired verbal communication;
  4. Patients should be capable of using intellectual equipment.

Exclusion criteria:

  1. Chest CT present lung mass, large seepage or atelectasis;
  2. Other active chronic respiratory system diseases needing be diagnosed , intervention and treatment;
  3. Severe or uncontrolled complications of other systems;
  4. Complicated with pleural effusion;
  5. Patients with cognitive impairment or mental abnormalities being unable to complete the questionnaire.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
The IoT group
Behavioral: The IoT
For the IoT group, "three plus two type pulmonary nodule diagnosis"： ① gather information: smoking history, tumor personal and family history, copd history, etc.; ② noninvasive examination: tumor markers, lung function and chest low-dose CT thin layer; ③ information mining in-depth:through the software for three-dimensional reconstruction of pulmonary nodules, depth excavation, accurate calculation of the density of the volume, assessment of the surrounding and infiltration of lung nodules and related vascular growth status; two solutions: ① Pathological diagnosis in highly suspected patients: fiber bronchoscope, ultrasonic bronchoscope, thoracoscope and CT guided percutaneous lung biopsy, etc.; ② Close scientific follow-up to the person who can not be qualitative: doctors follow up and manage patients scientifically in accordance with the follow-up management tables through the Internet of things platform.
The routine management group

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Time Frame
The positive diagnosis rate of lung cancer in I stage
Time Frame: 5 years
5 years

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Henan Provincial People's Hospital

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start

August 1, 2015

Primary Completion (Anticipated)

August 1, 2020

Study Completion (Anticipated)

August 1, 2020

Study Registration Dates

First Submitted

May 3, 2016

First Submitted That Met QC Criteria

May 13, 2016

First Posted (Estimate)

May 16, 2016

Study Record Updates

Last Update Posted (Estimate)

May 16, 2016

Last Update Submitted That Met QC Criteria

May 13, 2016

Last Verified

May 1, 2016

More Information

Terms related to this study

Keywords

Additional Relevant MeSH Terms

Other Study ID Numbers

  • 201501014

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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