Publications by authors named "Naoya Tanabe"

Background: The composite physiologic index (CPI) was developed to estimate the extent of interstitial lung disease (ILD) in idiopathic pulmonary fibrosis (IPF) patients based on pulmonary function tests (PFTs). The CALIPER-revised version of the CPI (CALIPER-CPI) was also developed to estimate the volume fraction of ILD measured by CALIPER, an automated quantitative CT postprocessing software. Recently, artificial intelligence-based quantitative CT image analysis software (AIQCT), which can be used to quantify the bronchial volume separately from the ILD volume, was developed and validated in IPF.

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Background: Sensitization to mucus plugs, and bacterial colonization may coexist and relate to a refractory phenotype during follow-up in asthma with bronchiectasis and allergic bronchopulmonary aspergillosis (ABPA).

Objective: This study aimed to clarify the features of -sensitized refractory asthma with bronchiectasis and determine the refractory phenotype in this population and ABPA.

Methods: This study included cases of the oldest available -specific IgE data and chest computed tomography images from a nationwide survey of refractory asthma with bronchiectasis.

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Background: Little is known about whether central airway morphological changes beyond traction bronchiectasis develop and affect clinical outcomes in patients with idiopathic pulmonary fibrosis (IPF). This study aimed to compare central airway structure comprehensively between patients with IPF, subjects with interstitial lung abnormality (ILA), and those without ILA (control) using computed tomography (CT). We further examined the prognostic impact of IPF-specific CT airway parameters in patients with IPF.

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  • Researchers are investigating the use of biologics to achieve clinical remission (CR) for patients with severe asthma, integrating CT scans and blood biomarkers to enhance criteria for remission and predict long-term disease stability.
  • A multicenter study in Japan will follow patients starting biologic treatment for 3 years, assessing various health metrics and patient feedback at multiple time points to compare CR rates and identify factors linked to sustained disease stability.
  • The study aims to refine CR criteria and improve understanding of structural and biological remission for better management of severe asthma, with ethical approval secured and trial registered.
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  • Cutis laxa is a group of connective tissue diseases that can be inherited or acquired, leading to loose skin and potential lung complications, though the specifics of pulmonary issues are not well understood.
  • A 36-year-old woman with a lifelong diagnosis of cutis laxa showed severe lung impairment and unusual pulmonary function test results, along with abnormal CT scan findings but no typical signs of emphysema.
  • Genetic analysis revealed a variant in the elastin gene linked to her pulmonary issues, and over eight years, her lung function continued to decline despite stable CT images, indicating progressive small airway disease.
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Chronic obstructive pulmonary disease (COPD) and asthma are common lung diseases with heterogeneous clinical presentations. Lung imaging allows evaluations of underlying pathophysiological changes and provides additional personalized approaches for disease management. This narrative review provides an overview of recent advances in chest imaging analysis using various modalities, such as computed tomography (CT), dynamic chest radiography, and magnetic resonance imaging (MRI).

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Background: Lower skeletal muscle density may reflect muscle adiposity and metabolic dysregulation that potentially impair disease control and lung function independent of high body mass index (BMI) in patients with asthma.

Objective: To investigate whether the lower density of pectoralis muscles (PMs) and erector spinae muscles (ESMs) on chest computed tomography was associated with airway structural changes in patients with asthma.

Methods: Consecutive patients with asthma and healthy controls undergoing chest computed tomography were retrospectively analyzed.

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Background: Factors associated with early-stage frailty (pre-frailty) in patients with chronic obstructive pulmonary disease (COPD) remain unestablished. In addition to skeletal muscle quantity, skeletal muscle dysfunction can be estimated using an angular metric from bioelectrical impedance analyzer (BIA), termed the phase angle, that reflects cell membrane reactance representing the structural stability. This study examined whether the phase angle was more closely associated with pre-frailty compared with skeletal muscle quantity in patients with COPD.

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  • This study investigates how different airway microbiomes might contribute to mucus plugging in patients with asthma, COPD, and asthma-COPD overlap (ACO).
  • It evaluated the sputum microbiome and mucus plug scores in a sample of patients, finding higher mucus scores linked to specific bacteria in ACO and COPD.
  • The research suggests that the presence of certain bacteria, particularly Proteobacteria and Haemophilus, may play a significant role in mucus plugging, especially in patients with ACO and those with varying levels of eosinophilic inflammation.
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  • The study examines how deteriorated sinusitis and increased fat-to-muscle ratio can affect the quality of life in asthma patients, regardless of any lung disease.
  • Researchers used data from a specific asthma cohort to analyze the relationship between visceral fat to muscle ratios, sinus health scores, and quality of life as measured by the Asthma Quality of Life Questionnaire.
  • Findings revealed that higher fat-to-muscle ratios and worse sinus scores were linked to lower quality of life scores in asthma patients, indicating that these factors negatively impact well-being, independent of lung pathology.
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  • This study investigates the impact of mucus plugs and airway structure on airflow limitations and outcomes in COPD patients using two different cohorts.
  • Patients were categorized based on the number of lung segments with mucus plugs, and both groups were evaluated for health-related independence and mortality over several years.
  • Results indicated that high mucus scores are linked to reduced airflow and increased mortality, while lower airway counts are related to a greater loss of independence, highlighting the distinct roles of mucus and airway structure in COPD.
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  • - This study investigated how CT scans measuring lung volume can predict serious outcomes in hospitalized COVID-19 patients, using data from 1,200 patients in 4 hospitals and employing AI to assess lung fields.
  • - Results showed that patients with lower predicted total lung volume (TLC) had significantly higher rates of critical complications like bacterial infections and heart failure compared to those with higher volumes (14.2% vs 3.3%).
  • - The study concluded that lower lung volume on CT scans is linked to worse outcomes and slower recovery in COVID-19 patients, highlighting its potential as a prognostic tool in clinical settings.
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Background: Interstitial lung abnormalities (ILAs) on CT may affect the clinical outcomes in patients with chronic obstructive pulmonary disease (COPD), but their quantification remains unestablished. This study examined whether artificial intelligence (AI)-based segmentation could be applied to identify ILAs using two COPD cohorts.

Methods: ILAs were diagnosed visually based on the Fleischner Society definition.

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  • Low Hounsfield unit values from vertebral bone CT scans indicate low bone mineral density (BMD), which is a risk factor for osteoporosis and potentially affects COVID-19 outcomes.
  • A study examined 1,132 Japanese COVID-19 inpatients to see how low BMD relates to severe clinical outcomes, finding that patients with low BMD experienced more critical outcomes, especially during the first four waves of COVID-19.
  • The research revealed that patients requiring oxygen during hospitalization had a significant decrease in BMD over three months, suggesting that low BMD can help predict severe disease in COVID-19 patients and may worsen over time.
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Background: It is known that the mortality of pneumonia in patients with risk factors for aspiration is worse than that in those without these risk factors. However, it is still unknown which risk factors for aspiration predict prognosis. Therefore, we aimed to determine which risk factors for aspiration are associated with death or prolonged hospitalization.

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We propose two types of novel morphological metrics for quantifying the geometry of tubular structures on computed tomography (CT) images. We apply our metrics to identify irregularities in the airway of patients with chronic obstructive pulmonary disease (COPD) and demonstrate that they provide complementary information to the conventional metrics used to assess COPD, such as the tissue density distribution in lung parenchyma and the wall area ratio of the segmented airway. The three-dimensional shape of the airway and its abstraction as a rooted tree with the root at the trachea carina are automatically extracted from a lung CT volume, and the two metrics are computed based on a mathematical tool called persistent homology; treeH0 quantifies the distribution of branch lengths to assess the complexity of the tree-like structure and radialH0 quantifies the irregularities in the luminal radius along the airway.

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Background: Low respiratory function in young adulthood is one of the important factors in the trajectory leading to the future development of COPD, but its morphological characteristics are not well characterised.

Methods: We retrospectively enrolled 172 subjects aged 40-49 years with ≥10 pack-years smoking history who underwent lung cancer screening by computed tomography (CT) and spirometry at two Japanese hospitals. Emphysema was visually assessed according to the Fleischner Society guidelines and classified into two types: centrilobular emphysema (CLE) and paraseptal emphysema (PSE).

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Background: Associations of fractional exhaled nitric oxide (FeNO) with airway wall remodeling and mucus plugs remain to be explored in smokers and nonsmokers with asthma. Ultra-high-resolution computed tomography (U-HRCT), which allows accurate structural quantification of airways >1 mm in diameter, was used in this study to examine whether higher FeNO was associated with thicker walls of the 3rd to 6th generation airways and mucus plugging in patients with asthma.

Methods: The retrospective analyses included consecutive former smokers and nonsmokers with asthma who underwent U-HRCT in a hospital.

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  • Muscle quantification via chest CT is shown to be a promising prognostic indicator for COVID-19 outcomes, focusing particularly on pectoralis and erector spinae muscles.
  • A study involving 1410 COVID-19 patients revealed that lower muscle density, especially in the erector spinae, correlates with more severe disease and poorer outcomes, regardless of sex.
  • Patients with low CT density in both muscle groups (Group D) faced significantly worse clinical outcomes compared to those with high density (Group A), highlighting the importance of these muscle parameters in assessing prognosis.
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Introduction: Air-trapping affects clinical outcomes in patients with chronic obstructive pulmonary disease (COPD) and may be detected by reactance at 5 Hz (X5) on respiratory oscillometry because X5 sensitively reflects the elasticity of the chest wall, airway and lung. However, the longitudinal association between X5 and air-trapping remains to be explored. This study aimed to test whether longitudinal changes in X5 could be associated with air-trapping progression, exacerbations, and mortality in patients with COPD.

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  • The study investigates whether the distribution of ground-glass opacity (GGO) and consolidation in the lungs of patients with SARS-CoV-2 pneumonia correlates with severe health outcomes.
  • Researchers employed AI-driven image analysis on CT scans of 512 hospitalized patients from January 2020 to August 2021 to measure these distributions.
  • Results indicated that a higher central-peripheral ratio of GGO was significantly associated with severe outcomes, suggesting that analyzing lung opacity patterns can aid in identifying high-risk COVID-19 patients.
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Background: Airway obstruction caused by viscous mucus is an important pathophysiologic characteristic of persistent inflammation, which can result in organ damage.

Objective: We investigated the hypothesis that the biophysical characteristics of accumulating granulocytes affect the clinical properties of mucus.

Methods: Surgically acquired nasal mucus samples from patients with eosinophilic chronic rhinosinusitis and neutrophil-dominant, noneosinophilic chronic rhinosinusitis were evaluated in terms of computed tomography density, viscosity, water content, wettability, and protein composition.

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Background: Effective use of lung volume data measured on computed tomography (CT) requires reference values for specific populations. This study examined whether an equation previously generated for multiple ethnic groups in the United States, including Asians predominantly composed of Chinese people, in the Multi-Ethnic Study of Atherosclerosis (MESA) could be used for Japanese people and, if necessary, to optimize this equation. Moreover, the equation was used to characterize patients with chronic obstructive pulmonary disease (COPD) and lung hyperexpansion.

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Rationale: The radiographic density of the erector spinae muscle (ESM) is often decreased early after lung transplantation (LTx). The prognostic impact of this change has not been elucidated.

Objective: To investigate whether the decrease in the radiographic density of ESMs early after LTx is associated with a poor prognosis.

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