Publications by authors named "Hatabu H"

Hereby inviting young rising stars in chest radiology in Japan for contributing what they are working currently, we would like to show the potentials and directions of the near future research trends in the research field. I will provide a reflection on my own research topics. At the end, we also would like to discuss on how to choose the themes and topics of research: What to do or not to do? We strongly believe it will stimulate and help investigators in the field.

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This retrospective study developed an automated algorithm for 3D segmentation of adipose tissue and paravertebral muscle on chest CT using artificial intelligence (AI) and assessed its feasibility. The study included patients from the Boston Lung Cancer Study (2000-2011). For adipose tissue quantification, 77 patients were included, while 245 were used for muscle quantification.

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Article Synopsis
  • Interstitial lung abnormalities (ILAs) are incidental findings on CT scans that may indicate early stages of interstitial lung disease, but data on their prevalence in routine clinical practice is limited.
  • A study reviewed CT scans from patients aged 50 and older at a tertiary hospital and found that ILAs were present in 1.7% of scanned patients, with a significant number being underreported in original clinical reports.
  • The presence of fibrotic ILAs significantly increased the risk of respiratory-related mortality, highlighting the importance of recognizing and reporting these abnormalities in clinical settings.
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Topic Importance: As interstitial lung abnormalities (ILAs) are increasingly recognized on imaging and in clinical practice, identification and appropriate management are critical. We propose an algorithmic approach to the identification and management of patients with ILAs.

Review Findings: The radiologist initially identifies chest CT scan findings suggestive of an ILA pattern and excludes findings that are not consistent with ILAs.

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  • The study analyzed how gravity affects lung function by comparing lung images from CT scans of 100 healthy participants in supine (lying down) and standing positions.
  • Findings showed that in the supine position, lung attenuation gradients were significantly higher in the upper and lower lobes compared to when standing, whereas standing had greater craniocaudal gradients.
  • No significant correlations were found between lung gradients and participant characteristics like age, sex, or pulmonary function test results.
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  • Researchers are developing automated models using machine learning to predict interstitial lung abnormalities (ILAs) in CT scans, as current methods rely heavily on manual assessments, which can be less efficient.
  • The study analyzed 1,382 CT scans from the Boston Lung Cancer Study, with radiologists serving as a reference point to identify ILAs; the scans were categorized into three groups: ILA present, indeterminate, and no ILA.
  • Various machine learning classifiers were tested for accuracy, revealing that certain models performed better in identifying ILAs, highlighting the potential for automated methods to improve clinical decision-making in lung health.
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  • Individuals with interstitial lung abnormalities (ILA) may have suspected interstitial lung disease (ILD), which can lead to worse health outcomes and higher mortality rates.
  • A study of 9,588 participants found that 2.8% had prevalent ILD, with a 52% mortality rate after about 10.6 years, significantly higher than those with ILA only (33%).
  • Progression of ILD, particularly the presence of fibrosis and CT changes, was linked to increased mortality, emphasizing the need for careful monitoring of those with suspected ILD.
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Objectives: To investigate the association of lung signal intensity changes during forced breathing using dynamic digital radiography (DDR) with pulmonary function and disease severity in patients with chronic obstructive pulmonary disease (COPD).

Methods: This retrospective study included 46 healthy subjects and 33 COPD patients who underwent posteroanterior chest DDR examination. We collected raw signal intensity and gray-scale image data.

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Interstitial lung abnormalities (ILAs) are incidental findings on computed tomography scans, characterized by nondependent abnormalities affecting more than 5% of any lung zone. They are associated with factors such as age, smoking, genetic variants, worsened clinical outcomes, and increased mortality. Risk stratification based on clinical and radiological features of ILAs is crucial in clinical practice, particularly for identifying cases at high risk of progression to pulmonary fibrosis.

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Background And Purpose: Idiopathic dendriform pulmonary ossification (DPO) is mostly asymptomatic, and detected incidentally in lung CT. There have been no reports on the precise CT-pathologic correlation and the prevalence of idiopathic DPO. This study aimed to clarify the histological background and prevalence of idiopathic DPO.

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  • The study aimed to explore how interstitial lung abnormalities (ILAs) affect mortality in patients with esophageal cancer, focusing on overall survival and causes of death.
  • Conducted from 2011 to 2015, the research evaluated 478 esophageal cancer patients, categorizing their ILAs based on CT scans and analyzing survival rates with various statistical models.
  • Results indicated that patients with ILAs had a significantly shorter overall survival, particularly those with subpleural fibrotic ILAs, and a higher prevalence of death from pneumonia or respiratory failure compared to those without ILAs.
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Shortened telomere lengths (TLs) can be caused by single nucleotide polymorphisms and loss-of-function mutations in telomere-related genes (TRG), as well as ageing and lifestyle factors such as smoking. Our objective was to determine if shortened TL is associated with interstitial lung disease (ILD) in individuals with rheumatoid arthritis (RA). This is the largest study to demonstrate and replicate that shortened peripheral blood leukocytes-TL is associated with ILD in patients with RA compared with RA without ILD in a multinational cohort, and short PBL-TL was associated with baseline disease severity in RA-ILD as measured by forced vital capacity percent predicted.

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  • - The study aimed to examine the incidence and severity of pulmonary embolism (PE) in COVID-19 patients during different variant periods (ancestral strain, Alpha, Delta, and Omicron) to see if newer variants and vaccinations reduced these factors.
  • - Researchers analyzed data from 720 COVID-19 patients who had a CT pulmonary angiogram within a specific timeframe, finding that PE diagnoses varied slightly across variant periods but not significantly.
  • - The results showed that the incidence and location of PE (in various artery types) did not significantly differ between the ancestral strain and the variants, suggesting that the risk remained consistent despite the presence of newer variants.
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  • The study aimed to explore how common interstitial lung abnormalities (ILAs) are in individuals with rheumatoid arthritis (RA) compared to those without, and how these conditions affect mortality.
  • Researchers analyzed data from a cohort of current and former smokers, using chest scans to identify and classify ILAs while considering the impact of various lifestyle factors and genetics.
  • Results showed that RA patients had a significantly higher prevalence of ILAs (16.9%) compared to non-RA individuals (5.0%), with RA patients who had ILAs experiencing a threefold increase in all-cause mortality, highlighting the need for better screening and management.
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High-attenuation pulmonary abnormalities are commonly seen on CT. These findings are increasingly encountered with the growing number of CT examinations and the wide availability of thin-slice images. The abnormalities include benign lesions, such as infectious granulomatous diseases and metabolic diseases, and malignant tumors, such as lung cancers and metastatic tumors.

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Introduction: Interstitial lung abnormalities (ILA) often represent early fibrotic changes that can portend a progressive fibrotic phenotype. In particular, the fibrotic subtype of ILA is associated with increased mortality and rapid decline in lung function. Understanding the differential gene expression that occurs in the lungs of participants with fibrotic ILA may provide insight into development of a useful biomarker for early detection and therapeutic targets for progressive pulmonary fibrosis.

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In addition to rare genetic variants and the locus, common genetic variants contribute to idiopathic pulmonary fibrosis (IPF) risk. The predictive power of common variants outside the locus for IPF and interstitial lung abnormalities (ILAs) is unknown. We tested the predictive value of IPF polygenic risk scores (PRSs) with and without the region on IPF, ILA, and ILA progression.

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Objectives: The study investigated tumor burden dynamics on computed tomography (CT) scans in patients with advanced non-small-cell lung cancer (NSCLC) during first-line pembrolizumab plus chemotherapy, to provide imaging markers for overall survival (OS).

Methods: The study included 133 patients treated with first-line pembrolizumab plus platinum-doublet chemotherapy. Serial CT scans during therapy were assessed for tumor burden dynamics during therapy, which were studied for the association with OS.

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Pulmonary fibrosis is recognized as occurring in association with a wide and increasing array of conditions, and it presents with a spectrum of chest CT appearances. Idiopathic pulmonary fibrosis (IPF), which corresponds histologically with usual interstitial pneumonia and represents the most common idiopathic interstitial pneumonia, is a chronic progressive fibrotic interstitial lung disease (ILD) of unknown cause. Progressive pulmonary fibrosis (PPF) describes the radiologic development of pulmonary fibrosis in patients with ILD of a known or unknown cause other than IPF.

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Objective: This study aimed to investigate clinical and radiologic characteristics of lung cancer in lung transplant recipients and evaluate the treatment course and prognosis.

Methods: The study included 448 patients who underwent lung transplant between 2005 and 2021. All patients had pretransplant chest computed tomography (CT), 429 patients had posttransplant CT, whereas 19 had no posttransplant CT (median number of posttransplant CT, 6; range, 0-24).

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