ClinicalTrials.gg
RecruitingNCT06056999Updated Dec 18, 2024

New Method to Differentiate Benign and Malignant Pulmonary Nodules.

An observational study in Pulmonary Nodules, sponsored by China-Japan Friendship Hospital. Recruiting at 1 site in China. Open to participants aged 18 Years and older. Per ClinicalTrials.gov, last updated 2024-12-18.

Sponsored by China-Japan Friendship Hospital · Observational

From the registry’s dates

  • Primary completion was expected by Jan 2025, 1 year 10 months ago, but the record still lists the study as recruiting.
  • Started Sep 2023; still recruiting 3 years 1 month later.
Study type
Observational
Model
Cohort
Time perspective
Prospective
Enrollment
150
Ages
18 Years and older
Sex
All
01

Study summary

The goal of this observational clinical trial is to establish a new method for differentiating benign and malignant pulmonary nodules by peripheral blood detection in patients with pulmonary nodules (\<3cm). The main questions it aims to answer is: How to combine blood metabolomic mass spectrometry detection and artificial intelligence image analysis to establish a new model for differentiating benign and malignant pulmonary nodules. Participants will be asked provide 4 mL peripheral blood for the test.

Read the detailed description

The aim of this clinical trial is to establish a new method for differentiating benign and malignant pulmonary nodules by the combination of metabolomics analysis and artificial intelligence (AI) analysis. It is expected to improve the accuracy of the identification of benign and malignant pulmonary nodules. Patients with clinical suspected malignant pulmonary nodules will be included in this trial. The subjects will be divided into three group by CT image presentation: (1) pure ground-glass nodule (pGGN), (2) part-solid nodule (PSN), (3) solid nodule (SN). Peripheral blood of subjects will be collected and detected by mass spectrometry to obtain the metabolomic characterization. The classification model of each group will be constructed based on the data analysis algorithm by machine learning. The diagnostic efficacy of the new model combined with the AI image analysis system for differentiating benign and malignant pulmonary nodules will be analyzed.

02

Conditions studied

  • Pulmonary Nodules

Keywords

  • differential diagnosis
  • benign and malignant pulmonary nodules
  • early diagnosis of lung cancer
03

In context

Multiple Pulmonary Nodules

99 studies on the registry are indexed under Multiple Pulmonary Nodules; 42 are open to participants now.

This study's planned enrollment of 150 is below the median of 255 across 51 observational studies indexed under Multiple Pulmonary Nodules.

Browse Multiple Pulmonary Nodules studies →

Lead sponsor

China-Japan Friendship Hospital is the lead sponsor of 178 studies on the registry; 111 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
No
Sampling method
Non-probability sample

Study population

Patients with pulmonary nodule \<3cm who are admitted to China-Japan Friendship Hospital and are scheduled for puncture biopsy or surgery.

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  • Age ≥18 years;
  • CT imaging shows the presence of pulmonary nodule \<3cm which is scheduled for puncture or surgery (i.e., the target lesion), the presence of ≥2 target lesions of the same type (categorized by density) are allowed;
  • Subjects are in good condition with (ECOG) scale of 0-2;
  • Subjects with fair vital organ function, defined as: white blood cells ≥3.0×10\^9/L, ≥75×10\^9/L, ≥90g/L, and aspartate aminotransferase ≤2.5 times the values, and serum creatinine \<178μmol/L;
  • Subjects must have the ability to understand and sign the in writing voluntarily.

Exclusion criteria

Exclusion Criteria:

  • Imaging examination have suggested the possibility of at other sites;
  • ≥2 target lesions with different type categorized by density;
  • History of malignant disease;
  • Severe vascular lesions within the last 3 months, or known significant active infection, during acute/chronic tuberculosis infection, or severe cardiovascular and cerebrovascular diseases, dysfunction of liver and renal, or significant endocrine and metabolic disorders, or other serious concomitant diseases that are not controlled;
  • The specialist/surgeon assessed that puncture or surgery is not available, with such as coagulation disorders, cardiorespiratory insufficiency, etc.;
  • History of uncontrolled epilepsy, central nervous system disease, or psychiatric disorders, that may affect the signing of ;
  • Pregnant or breastfeeding women;
  • Other conditions deemed by the investigator to be unsuitable for enrollment.
Terms in these criteria, in plain language(9)

Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.

Biopsy and archival tissue

A biopsy takes a small piece of tissue to examine. “Archival tissue” is a sample already taken, for example at diagnosis, and kept by the hospital.

Whether a stored sample will do depends on when it was taken, how much there is and what the study needs. Ask whether the study accepts your stored sample or needs a new biopsy.

ECOG performance status

A scale of how much an illness limits everyday activity. For people being assessed to join a study, scores run from 0 (fully active) to 4; lower is more active.

0
Fully active, no restrictions.
1
Limited in strenuous activity, but walking and able to do light work, such as housework or office work.
2
Walking and able to look after yourself, but unable to work; up and about more than half of waking hours.
3
Able to look after yourself only in part; in bed or a chair more than half of waking hours.
4
Unable to look after yourself at all; in bed or a chair all day.

Studies most often ask for 0–1 or 0–2. Your doctor gives the score; the WHO scale uses the same steps. The full scale also has 5, which records death.

Platelets

Blood cells that help blood clot. Too few raises the risk of bleeding and bruising. A usual adult range is about 150–400 × 10⁹/L (150,000–400,000 per µL); each lab has its own reference range.

Hemoglobin (Hb)

The protein in red blood cells that carries oxygen. A low level is anaemia, which can cause tiredness and breathlessness. Measured in g/dL or g/L (9 g/dL is 90 g/L).

ALT and AST (liver enzymes)

Two enzymes measured in a routine blood test of the liver. Higher levels can mean the liver is under strain or damaged. SGPT and SGOT are older names for ALT and AST.

Criteria usually give a limit as a multiple of the upper limit of normal (ULN), often higher when cancer has spread to the liver.

ULN (upper limit of normal)

The top of the normal range for a blood test, as set by the laboratory that runs it. Each lab prints its own range next to your result.

“≤ 2.5 × ULN” means the result can be up to two and a half times that top value.

Informed consent

Before you join, the study team explains what taking part involves — its purpose, what happens, the risks and possible benefits — and answers your questions, so you can decide freely. Consent is usually recorded on a form (the informed consent form, ICF) signed by you or, where the law allows, by someone legally authorised to decide for you.

You can keep asking questions during the study, you are told of new information that matters, and you can choose to leave at any time.

Metastases

Cancer that has spread from where it began to other parts of the body. “Metastatic” cancer is cancer that has spread this way.

Contraindication

A reason a treatment, test or procedure should not be given to a particular person, such as an allergy, another illness or a medicine they take.

05

Study design

Observational model
Cohort
Time perspective
Prospective
Enrollment
150 participants (estimated)
Patient registry
No
Biospecimen retention
Samples without dna

Groups and cohorts

  • A. pure ground-glass nodule

    Patients with pure ground-glass nodules (GGNs).

  • B. part-solid nodule

    Patients with part-solid nodules (PSNs).

  • C. solid nodule

    Patients with solid nodules (SNs).

06

What researchers measure

Primary outcomes

  1. Establish an model for differentiating lung nodules.

    To establish a new method for differentiating benign and malignant pulmonary nodules by the combination of metabolomics analysis and artificial intelligence (AI) image analysis.

    Time frame: 6 months

07

Study locations

1 of 1 sites recruiting
08

References and documents

Individual participant data

Plan to share: Yes — Original research data including study protocol and statistical analysis plan will be shared after the study is completed and the research results are published.

Supporting information: Study protocol, Statistical analysis plan

Time frame: The data will become available starting 6 months and ending 5 years following article publication.

Access criteria: People who provide reasonable research protocols can get access to the data by contacting the researchers.

No publications or documents are linked to this record.

09

Timeline

Tracking since Sep 25, 2026
ElapsedEstimatedEstimated, not yet reachedSimilar studies: half by the dot; the band is the middle halfHalf of similar studies reached it by the dot; the band is the middle half, from a quarter to three quarters

Started Sep 2023 (actual). Primary completion is estimated for Jan 2025, 16 months after the start.

Of 24 observational studies under Multiple Pulmonary Nodules, half reached primary completion within 35 months of starting (the median), counting those still running; a quarter within 8 and three quarters within 62. This study's planned 16 months is below that.

How these figures are worked out, and which studies are left out of them.

Registered
Sep 21, 2023
First posted
Sep 28, 2023
StartActual
Sep 29, 2023
Primary completionEst.
Jan 2025
CompletionEst.
Jul 2025
Last update
Dec 18, 2024
What these dates mean
Start.
When the first participant enrolled; while estimated, when the study expects to open to recruitment.
Primary completion.
When the last participant was examined or treated to collect data for the study's main question, its primary outcome. A study that stopped early gives the date its data collection stopped.
Completion.
When the last participant's last visit took place, for every outcome, secondary ones and side effects included: the end of the study. Often later than primary completion, sometimes the same day.
Actual and Est.
Actual means the registry says the date has happened. Est. (estimated) is a date the sponsor plans or expects. It can still move, and the sponsor is expected to change it to actual once it has passed.
No changes since tracking began. The registry record was last updated on Dec 18, 2024, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT06056999
Responsible party
Guangying Zhu (chief physician, China-Japan Friendship Hospital) — Principal investigator
First posted
Sep 28, 2023
Start date
Sep 29, 2023
Primary completion
Jan 2025 (estimated)
Completion
Jul 2025 (estimated)
Last update
Dec 18, 2024

Study contacts

Guangying Zhu, doctor
Contact
zryyfa@163.com
+86-010-84205381
Guangying Zhu
principal investigator · China-Japan Friendship Hospital

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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