chest tumor
Conditions
Interventions
AI-based analysis is performed on the spectrogram obtained from lung sounds acquired by a digital stethoscope
Sponsors
Ohde Yasuhisa
Eligibility
Sex/Gender
All
Inclusion criteria
Inclusion criteria: (1) Age 18 years or older at the time of consent acquisition. (2) Planned thoracic surgery within 4 weeks of the date of consent (including the same day of the week after 4 weeks) (3) Pulmonary function tests can be performed or have been performed. (4) Prior to enrollment in this study, the contents of the study were fully explained and written consent was obtained from the study subject.
Exclusion criteria
Exclusion criteria: (1) Subjects who have a history of thoracic surgery. (2) Subjects who have a mass with a maximum diameter of more than 3 cm in either of the left and right lungs. (3) Subjects who are scheduled for simultaneous surgery on both lungs (4) Subjects who have a medical device in his or her body that may be affected by magnetic materials, such as a pacemaker or implanted cardioverter defibrillator. (5) Subjects who have a history of hypersensitivity to silicone, rubber products, or metals. (6) Subjects with a history of severe hypersensitivity (7) Other subjects who are judged to be inappropriate by the principal investigator or co-investigator
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Relationship between lung sounds obtained by digital stethoscopes and pulmonary function tests | — |
Secondary
| Measure | Time frame |
|---|---|
| Identification accuracy of secondary noise obtained by digital stethoscope by AI analysis | — |
Contacts
Public ContactShinya Katsumata
Shizuoka Cancer Center
Outcome results
None listed