• HOME
  • NEWS
  • EXPLORE
    • CAREER
      • Companies
      • Jobs
    • EVENTS
    • iGEM
      • News
      • Team
    • PHOTOS
    • VIDEO
    • WIKI
  • BLOG
  • COMMUNITY
    • FACEBOOK
    • INSTAGRAM
    • TWITTER
Wednesday, October 21, 2026
BIOENGINEER.ORG
No Result
View All Result
  • Login
  • HOME
  • NEWS
  • EXPLORE
    • CAREER
      • Companies
      • Jobs
        • Lecturer
        • PhD Studentship
        • Postdoc
        • Research Assistant
    • EVENTS
    • iGEM
      • News
      • Team
    • PHOTOS
    • VIDEO
    • WIKI
  • BLOG
  • COMMUNITY
    • FACEBOOK
    • INSTAGRAM
    • TWITTER
  • HOME
  • NEWS
  • EXPLORE
    • CAREER
      • Companies
      • Jobs
        • Lecturer
        • PhD Studentship
        • Postdoc
        • Research Assistant
    • EVENTS
    • iGEM
      • News
      • Team
    • PHOTOS
    • VIDEO
    • WIKI
  • BLOG
  • COMMUNITY
    • FACEBOOK
    • INSTAGRAM
    • TWITTER
No Result
View All Result
Bioengineer.org
No Result
View All Result
Home NEWS Science News Health

Spectral CT signals distinguish antisynthetase-related lung disease in retrospective study

by
October 21, 2026
in Health
Reading Time: 3 mins read
0
Spectral CT signals distinguish antisynthetase-related lung disease in retrospective study

Spectral CT signals distinguish antisynthetase-related lung disease in retrospective study

Share on FacebookShare on TwitterShare on LinkedinShare on RedditShare on Telegram

A retrospective quantitative imaging study of 165 patients found that dual-layer spectral computed tomography supplied measurable information that helped distinguish interstitial lung disease associated with antisynthetase syndrome (ASS-ILD) from disease associated with polymyositis or dermatomyositis (PM/DM-ILD). Right-lower-lobe volume performed best among the evaluated spectral CT parameters, producing an area under the receiver operating characteristic curve of 0.727, with 79.2% sensitivity and 58% specificity. The findings indicate potential complementary diagnostic value, although the study does not establish spectral CT as a standalone test.

The cohort comprised 69 patients with ASS-ILD and 96 patients with PM/DM-ILD, all of whom underwent both spectral CT and conventional high-resolution computed tomography (HRCT). Researchers quantified four types of measurements in each lung lobe: lung volume; 70 keV monoenergetic CT number, abbreviated MCTN; effective atomic number, or Zeff; and electron density, expressed as a percentage of water density. The groups were compared overall and within subgroups matched by radiological pattern or imaging feature, including nonspecific interstitial pneumonia and ground-glass opacity.

A Bonferroni correction was used for multiple testing, with an adjusted significance threshold of p < 0.00625. Across the full comparison, the ASS-ILD group had significantly smaller right- and left-lower-lobe volumes and higher MCTN and electron-density values than the PM/DM-ILD group; all adjusted p values were below 0.05. Volume differences were also observed when the analysis was restricted to patients whose HRCT scans showed nonspecific interstitial pneumonia.

In that subgroup, right-lower-lobe volume in ASS-ILD was 374.79 cm³, with an interquartile range of 291.08 to 619.35 cm³, compared with 596.22 ± 193.33 cm³ in PM/DM-ILD. Left-lower-lobe volume was 364.13 cm³, with an interquartile range of 255.83 to 567.04 cm³, in the ASS-ILD group, versus 563.74 ± 189.98 cm³ in the PM/DM-ILD group. Both raw comparisons produced p values below 0.001.

Quantitative differences also appeared when the researchers selected patients with ground-glass opacity. In that subgroup, left-lower-lobe electron density in ASS-ILD was 29.7% of water density, with an interquartile range of 24.1 to 43.8, compared with 25.3% and an interquartile range of 20.05 to 32.78 in PM/DM-ILD. The corresponding left-lower-lobe MCTN was −706.3 Hounsfield units, with an interquartile range of −763.15 to −562.5, in ASS-ILD, versus −749.7 Hounsfield units and an interquartile range of −802.98 to −678.33 in PM/DM-ILD.

Each ground-glass-opacity comparison had a raw p value of 0.003. These subgroup results show that the measured differences were detectable even when conventional HRCT patterns or signs were similar. Right-lower-lobe volume offered the strongest discrimination among the dual-layer spectral CT parameters evaluated, but its sensitivity of 79.2% and specificity of 58% mean that the measurement alone would not classify every patient correctly.

The study therefore characterizes spectral CT as an adjunct rather than a replacement for conventional HRCT, clinical assessment and serological testing. Within the reported population, however, quantitative lower-lobe differences distinguished ASS-ILD from PM/DM-ILD and demonstrate how spectral CT can add information beyond conventional imaging appearances.

Subject of Research: Diagnostic value of quantitative dual-layer spectral CT for distinguishing ASS-ILD from PM/DM-ILD

Article Title: A quantitative study: investigating the diagnostic value of using dual-layer spectral computed tomography in differentiating idiopathic inflammatory myopathy-associated interstitial lung disease

Article References: Xie, S., Wang, S., Zhang, Z., Liang, Y., Yu, J., Qi, R., Tan, C., Liu, H., Zhang, X., Liao, W., Zhao, L., Zhang, T., & Zhang, L. (2026). A quantitative study: investigating the diagnostic value of using dual-layer spectral computed tomography in differentiating idiopathic inflammatory myopathy-associated interstitial lung disease. BMC Medical Imaging. https://doi.org/10.1186/s12880-026-02960-6

Image Credits: AI Generated

DOI: 10.1186/s12880-026-02960-6

Keywords: spectral CT, antisynthetase syndrome, interstitial lung disease, polymyositis, dermatomyositis, quantitative imaging, lung volume, high-resolution CT, diagnostic accuracy, quantitative, investigating, diagnostic

News Source: Ophelia Keating. (October 21, 2026). Spectral CT signals distinguish antisynthetase-related lung disease in retrospective study. Scienmag.

Tags: antisynthetase syndromedermatomyositisDiagnosticdiagnostic accuracyhigh-resolution CTinterstitial lung diseaseInvestigatinglung volumepolymyositisQuantitativequantitative imagingspectral CT
Share12Tweet7Share2ShareShareShare1

Related Posts

Pilot ultrasound session modestly reduces schizophrenia delusions

Pilot ultrasound session modestly reduces schizophrenia delusions

October 21, 2026
Type 2 diabetes adults favor larger, personal physical activity incentives

Type 2 diabetes adults favor larger, personal physical activity incentives

October 21, 2026

Brain-computer interface training shows preliminary cognitive and daily-living benefits after stroke

October 21, 2026

Cell study links histamine H1 receptor to regulation of stress-induced ER protein secretion

October 21, 2026

POPULAR NEWS

  • Interpretable machine learning predicts Victorian zonal crash counts

    Interpretable machine learning predicts Victorian zonal crash counts

    29 shares
    Share 12 Tweet 7
  • Spectral CT signals distinguish antisynthetase-related lung disease in retrospective study

    29 shares
    Share 12 Tweet 7
  • Research report: Pediatric HIV reservoir in early ART: distinct immunobiology and its implications for HIV cure

    29 shares
    Share 12 Tweet 7
  • Pilot ultrasound session modestly reduces schizophrenia delusions

    29 shares
    Share 12 Tweet 7

About

We bring you the latest biotechnology news from best research centers and universities around the world. Check our website.

Follow us

Recent News

Interpretable machine learning predicts Victorian zonal crash counts

Spectral CT signals distinguish antisynthetase-related lung disease in retrospective study

Research report: Pediatric HIV reservoir in early ART: distinct immunobiology and its implications for HIV cure

Subscribe to Blog via Email

Enter your email address to subscribe to this blog and receive notifications of new posts by email.

Join 85 other subscribers
  • Contact Us

Bioengineer.org © Copyright 2023 All Rights Reserved.

Welcome Back!

Login to your account below

Forgotten Password?

Retrieve your password

Please enter your username or email address to reset your password.

Log In
No Result
View All Result
  • Homepages
    • Home Page 1
    • Home Page 2
  • News
  • National
  • Business
  • Health
  • Lifestyle
  • Science

Bioengineer.org © Copyright 2023 All Rights Reserved.