ArticleQuantitative imaging in medicine and surgery2021
Multiparametric dual-energy CT to differentiate stage T1 nasopharyngeal carcinoma from benign hyperplasia.
Article in Quantitative imaging in medicine and surgery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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.
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Who cites it
5 citing papers in PubMed, 6 citations in OpenAlex.
- Dual-energy CT quantitative parameters can improve the performance of differential diagnostic between ameloblastomas and odontogenic keratocysts with solid components.Oral radiology · 2026Article
- Dual-energy CT for distinguishing between T3 and T4 stages of locally advanced nasopharyngeal carcinoma.Quantitative imaging in medicine and surgery · 2025Article
- Advancing Differentiation of Hepatic Metastases in Malignant Melanoma through Dual-Energy Computed Tomography Rho/Z Maps.Diagnostics (Basel, Switzerland) · 2024Article
- Utility of CT in detecting and monitoring subphrenic jujube pits: a retrospective cross-sectional study of clinical cases andQuantitative imaging in medicine and surgery · 2022Article
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Corrections and comments
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Authors and funding
10 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundStage T1 nasopharyngeal carcinoma (NPC
methodsA total of 91 patients (44 NPC
resultsThe 40 keV VMI (+) in the enhanced phase yielded higher demarcation of the lesion margins scores, overall image quality scores, noise, SNR, and CNR values than 50-80 keV VMIs (+) and polyenergetic images. NPC
conclusionsThe combination of DECT-derived image features and quantitative parameters contributed to the differentiation between NPC
Indexed as
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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.