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1.
Ann Thorac Cardiovasc Surg ; 27(6): 407-409, 2021 Dec 20.
Artigo em Inglês | MEDLINE | ID: mdl-31189773

RESUMO

Glomus tumors originate from a neuroarterial structure called the glomus body, and grow mostly in soft tissue. It is rare for glomus tumors to develop in the respiratory system. The patient of the present case had an abnormal shadow in the right lung on chest X-ray, and computed tomography (CT) findings displayed a lung tumor in the right S6. Bronchoscopy was performed for the diagnosis of the lung tumor, and a polypoid bronchial tumor was unexpectedly found to occupy the right B3. The bronchial tumor was diagnosed as a glomus tumor, and the lung tumor was diagnosed as an adenocarcinoma. The bronchial glomus tumor was cauterized by argon plasma coagulation (APC). Three weeks after the cauterization by APC, the right lower lobectomy was performed for the treatment of the lung adenocarcinoma. The patient has remained disease free for 2 years.


Assuntos
Brônquios , Neoplasias Brônquicas , Tumor Glômico , Brônquios/cirurgia , Neoplasias Brônquicas/diagnóstico por imagem , Tumor Glômico/diagnóstico por imagem , Humanos , Tomografia Computadorizada por Raios X , Resultado do Tratamento
2.
Stud Health Technol Inform ; 247: 301-305, 2018.
Artigo em Inglês | MEDLINE | ID: mdl-29677971

RESUMO

Health monitoring in everyday situations has become important due to the rapid aging of many societies. Speech changes have been suggested as a means of measuring an individual's state, such as emotion and stress, and screening for neurodegenerative diseases. However, how speech features are associated with daily physical conditions remains unknown. In this study, we investigated whether acoustic features collected in everyday situations could be used for inferring the daily physical conditions of older adults. We analyzed speech data collected in two settings of monitoring the health of older adults: during phone calls with an actual service for regularly monitoring older adults and with a tablet-based monitoring system we developed. Through analyses, we suggest that acoustic features extracted from speech data in everyday situations may be used for detecting poor physical conditions.


Assuntos
Acústica , Monitorização Fisiológica , Fala , Idoso , Humanos
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