ArticleQuantitative imaging in medicine and surgery2024
Predictive value of spectral dual-detector computed tomography for
Article in Quantitative imaging in medicine and surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed.
- Advanced characterization and grading of invasive lung adenocarcinoma: integrative analysis with spectral CT andQuantitative imaging in medicine and surgery · 2026Article
- Genetic landscape features associated with PD-L1 expression status in advanced lung adenocarcinoma: a targeted sequencing analysis.Frontiers in oncology · 2026Article
- Nomogram combining spectral dual-layer detector CT radiomics and deep learning features predicts alveolar tumor spread.Frontiers in oncology · 2026Article
- Article
- Dual-layer spectral detector CT electron density imaging: impressive technology for imaging characteristics of ground-glass nodules.Quantitative imaging in medicine and surgery · 2025Article
- Ultra-low dose dual-layer detector spectral CT for pulmonary nodule screening: image quality and diagnostic performance.Insights into imaging · 2025Article
- Identification of PD-L1 Expression in Resectable NSCLC using Interpretable Machine Learning Model Based on Spectral CTCurrent medical imaging · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Programmed death ligand-1 ( Methods: We analyzed SDCT parameters and Results: The proportions of solid components and pleural indentations were higher in the Conclusions: Quantitative parameters derived from SDCT demonstrated the ability to predict for
Indexed as
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.