Unique ID issued by UMIN | UMIN000006696 |
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Receipt number | R000007551 |
Scientific Title | Ion Mobility Spectrometry in healthy and respiratory disease subjects |
Date of disclosure of the study information | 2011/11/09 |
Last modified on | 2018/07/30 11:48:29 |
Ion Mobility Spectrometry in healthy and respiratory disease subjects
IMS in healthy and respiratory disease subjects
Ion Mobility Spectrometry in healthy and respiratory disease subjects
IMS in healthy and respiratory disease subjects
Japan |
Healthy subjects and patients with respiratory disease
Medicine in general | Pneumology |
Malignancy
NO
To identify VOC patterns in healthy subjects.
To identify VOC patterns in patients with respiratory disease including lung cancer, bronchial asthma, COPD, infectious diseases, respiratory involvement in systemic disease.
Safety,Efficacy
To investigate if IMS can detect and discriminate between volatile organic compounds (VOCs) in patients with respiratory disease including lung cancer, bronchial asthma, COPD, infectious diseases and airway involvement in systemic disease.
Interventional
Parallel
Non-randomized
Open -no one is blinded
No treatment
6
Diagnosis
Device,equipment |
In healthy subjects:
To collect 10ml of exhaled air using BioScout.
Lung cancer:
To collect 10ml of exhaled air using BioScout.
Bronchial asthma:
To collect 10ml of exhaled air using BioScout.
COPD:
To collect 10ml of exhaled air using BioScout.
Respiratory infectious disease:
To collect 10ml of exhaled air using BioScout.
Airway involvement in systemic disease:
To collect 10ml of exhaled air using BioScout.
20 | years-old | <= |
Not applicable |
Male and Female
Patients with expiratory disease
a) Lung Cancer: adenocarcinoma, squamous cell carcinoma, small cell carcinoma, large cell carcinoma
b) Bronchial asthma: step I to IV
c) COPD stage I to IV
d) Respiratory infection: pneumonia, pleuritis, pyothorax
e) Airway abnormality in systemic disease: sarcoidosis, relapsing polychondritis, wegener granulomatosis
1) To refuse giving informed consent
2) Lung cancer of unknown histological type
3) Exacerbation within the last 3 months for bronchial asthma
4) Exacerbation within the last 3 months for COPD
5) Unknown bacterias
6) Patients who are pregnant, possibly pregnant, or lactating.
7) Patients with renal failure. (serum creatinine > 2.0 mg/dL, BUN > 30mg/dl)
8) AST or ALT > 100IU
9) Patients with severe diabetes, hyperlipidemia or hyperuricemia
10) Patients who are judged inappropriate by the doctor in charge.
300
1st name | |
Middle name | |
Last name | Teruomi Miyazawa |
St. Marianna University School of Medicine
Respiratory and Infectious Diseases, Department of Internal Medicine
2-16-1 Sugao Miyamae-ku, Kawasaki, Kanagawa, Japan 216-8511
044-977-8111
1st name | |
Middle name | |
Last name | Hiroshi Handa |
St. Marianna University School of Medicine
Respiratory and Infectious Diseases, Department of Internal Medicine
2-16-1 Sugao Miyamae-ku, Kawasaki, Kanagawa, Japan 216-8511
044-977-8111
St. Marianna University School of Medicine
Division of Respiratory and Infectious Diseases, Department of Internal Medicine
St. Marianna University School of Medicine
Division of Respiratory and Infectious Diseases, Department of Internal Medicine
Self funding
NO
2011 | Year | 11 | Month | 09 | Day |
Published
1.Lung Cancer
A decision tree algorithm could separate patients with lung cancer including adenocarcinoma, squamous cell carcinoma and small cell carcinoma. One hundred-fifteen separated volatile organic compound (VOC) peaks were analyzed. Peak-2 noted as n-Dodecane using the IMS database was able to separate values with a sensitivity of 70.0% and a specificity of 89.7%. Incorporating a decision tree algorithm starting with n-Dodecane, a sensitivity of 76% and specificity of 100% was achieved. Comparing VOC peaks between adenocarcinoma and healthy subjects, n-Dodecane was able to separate values with a sensitivity of 81.3% and a specificity of 89.7%. Fourteen patients positive for EGFR mutation displayed a significantly higher n-Dodecane than for the 14 patients negative for EGFR (p<0.01), with a sensitivity of 85.7% and a specificity of 78.6%.
2. Relapsing polycondritis
A total of 88 VOC peaks in both RP patients and healthy volunteers were detected using Visual Now 2.2. 5 VOC peaks were significantly higher in the exhaled breath samples of RP patients compared to healthy subjects (p<0.001). P14 and P26a were noted as cyclohexanone and 1,2-Butandiol using the IMS database. In addition, P14 and P26a were able to separate values with a sensitivity of 80%, 60% and a specificity of 89.7%, 100% in RP patients, respectively.
3. Infection: Stent-related Biofilm Formation
Bacteriologic culture from the removed silicone stents showed Pseudomonas aeruginosa biofilm formation
in 4 of the 6 patients.12 peaks were identified. Five of the 12 peaks differed significantly in signal intensity after removal of the initial stent. Comparison against an IMS database identified the following: peak no. 22 (P22), unknown (p<0.05); P23, limonene (p<0.05); P24: 2,2,4,6,6-pentaheptylmethane (p<0.05); P31, 1-octanol (p<0.05); and P35: phenylacetaldehyde (p<0.05).
Completed
2011 | Year | 02 | Month | 07 | Day |
2011 | Year | 02 | Month | 07 | Day |
2013 | Year | 01 | Month | 14 | Day |
2013 | Year | 01 | Month | 14 | Day |
2013 | Year | 01 | Month | 14 | Day |
2014 | Year | 05 | Month | 22 | Day |
2011 | Year | 11 | Month | 09 | Day |
2018 | Year | 07 | Month | 30 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000007551
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