Features of active pulmonary tuberculosis without abnormal chest X-ray findings

Matsumoto, Hiroyuki; Komiya, Kosaku; Yamasue, Mari; Shuto, Hisayuki; Goto, Akihiko; Kan, Takamasa; Honjo, Kokoro; Uchida, Sonoe; Takikawa, Shuichi; Yoshimatsu, Tetsuyuki; Hiramatsu, Kazufumi; Johkoh, Takeshi; Kadota, Jun‐ichi

doi:10.1080/23744235.2020.1758765

Cited by 4 publications

(2 citation statements)

References 10 publications

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“…The main clinical manifestations of patients are low-grade fever, cough, night sweats, chest pain, etc. If the treatment is not timely, it will seriously affect their physical and mental health [ 14 ]. In recent years, due to the extensive use of antibiotics, the drug resistance of Mycobacterium tuberculosis has been increasing, and the efficacy of drugs has become more and more limited [ 15 ].…”

Section: Discussionmentioning

confidence: 99%

Intelligence Classification Algorithm-Based Drug-Resistant Pulmonary Tuberculosis Computed Tomography Imaging Features and Influencing Factors

Jiang

Zhao

Fan

2022

Computational Intelligence and Neuroscience

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The drug resistance and influencing factors of patients with pulmonary tuberculosis were investigated, and a dual attention dilated residual network (DADRN) algorithm was proposed. The algorithm was applied to process and analyze lung computed tomography (CT) images of 400 included patients with pulmonary tuberculosis. Besides, sparse code book algorithm and bag of visual word (BOVW) algorithms were introduced and compared, and the influencing factors of pulmonary tuberculosis drug resistance were analyzed. The results demonstrated that the localization precision of lung consolidation, nodules, and cavities by the DADRN algorithm reached 91.2%, 92.5%, and 93.8%, respectively. The recall rate of the three algorithms amounted to 83.55%, 84.5%, and 86.4%, respectively. Both localization precision and recall rate of the DADRN algorithm were higher than those of other two algorithms ( P < 0.05 ). The drug resistance rate of streptomycin, isoniazid, and rifampin of the patients aged between 40 and 59 was all higher than those of the patients in other age groups. The drug resistance rate of streptomycin, isoniazid, and rifampin of retreated patients was all higher than those of patients initially treated. The drug resistance rate of streptomycin, isoniazid, and rifampin of the patients with tuberculosis contact was all higher than those of the patients without tuberculosis contact ( P < 0.05 ). Based on the above results, the accuracy of CT images processed by dual attention-based dilated residual classification network algorithm was higher than that processed by other two algorithms. Age, medical history, and history of exposure to tuberculosis were the influencing factors of the drug resistance of patients with pulmonary tuberculosis.

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Section: Discussionmentioning

confidence: 99%

Intelligence Classification Algorithm-Based Drug-Resistant Pulmonary Tuberculosis Computed Tomography Imaging Features and Influencing Factors

Jiang

Zhao

Fan

2022

Computational Intelligence and Neuroscience

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“…Information regarding this research was posted at the hospital, with an opt out method. Some patients already participated in previous studies [ 13 – 17 ].…”

Section: Main Textmentioning

confidence: 99%

Quantitative assessment of the association between erector spinae muscle and in-hospital mortality in elderly patients with pulmonary tuberculosis

Komiya

Yamasue

et al. 2021

BMC Res Notes

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Objective Skeletal muscle size is considered a predictor of prognosis in patients with respiratory diseases including Mycobacterium avium complex lung disease. However, no research focused on its impact on prognosis in patients with pulmonary tuberculosis (TB). Thus, this study aimed to assess the association between erector spinae muscle (ESM) size and in-hospital mortality among patients with pulmonary TB. Results We retrospectively included 258 consecutive patients aged over 65 years old, who were admitted to the hospital for bacteriologically confirmed pulmonary TB, and all underwent chest computed tomography (CT) scan upon admission. The cross-sectional area of the ESM (ESMcsa) was measured at the lower margin of the 12th thoracic vertebra on a single-slice CT scan image and was adjusted according to body surface area (BSA). In total, 71 (28%) patients died during hospitalization. The non-survivor group had a high incidence of respiratory failure and comorbidities and lower hemoglobin and albumin levels, performance status score, and ESMcsa/BSA. Multivariate analysis revealed that low performance status score and hemoglobin and albumin levels, but not ESMcsa/BSA and body mass index, could independently predict in-hospital mortality after adjusting for age and comorbidities. Therefore, ESM size was not associated with in-hospital mortality in patients with pulmonary TB.

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Evaluation of the usefulness of deep neural networks in classifying X-ray images according to radiation exposure level for automatic exposure control of digital radiography

Hwang

Park

Lee

et al. 2021

J. Korean Phys. Soc.

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Features of active pulmonary tuberculosis without abnormal chest X-ray findings

Cited by 4 publications

References 10 publications

Intelligence Classification Algorithm-Based Drug-Resistant Pulmonary Tuberculosis Computed Tomography Imaging Features and Influencing Factors

Intelligence Classification Algorithm-Based Drug-Resistant Pulmonary Tuberculosis Computed Tomography Imaging Features and Influencing Factors

Quantitative assessment of the association between erector spinae muscle and in-hospital mortality in elderly patients with pulmonary tuberculosis

Evaluation of the usefulness of deep neural networks in classifying X-ray images according to radiation exposure level for automatic exposure control of digital radiography

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