ArticleInsights into imaging2022
Dual-energy CT with virtual monoenergetic images and iodine maps improves tumor conspicuity in patients with pancreatic ductal adenocarcinoma.
Article in Insights into imaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.
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Who cites it
27 citing papers in PubMed, 1 synthesis or guideline pooled it, 44 citations in OpenAlex.
- Revolutionizing the Pancreatic Tumor Diagnosis: Emerging Trends in Imaging Technologies: A Systematic Review.Medicina (Kaunas, Lithuania) · 2024Pooled it
- Optimized versus conventional trigger threshold for pancreatic phase image acquisition using dual-energy CT at 40-keV: a randomized controlled trial.Abdominal radiology (New York) · 2025Trial
- Practical applications of photon-counting CT in oncology: an organ-based pictorial review.Insights into imaging · 2026Article
- Quantitative and qualitative evaluation of pancreatic cancer on photon-counting detector CT and dual-energy CT using standard reference images.Abdominal radiology (New York) · 2026Article
- Dual-layer spectral detector computed tomography of peritumoral fat for preoperative prediction of tumor budding in colorectal adenocarcinoma.Diagnostic and interventional radiology (Ankara, Turkey) · 2026Article
- Impact of image reconstruction algorithms on histogram analysis of iodine concentration for assessing chemotherapy response in pancreatic ductal adenocarcinoma.Abdominal radiology (New York) · 2026Article
- Relative and normalized iodine concentrations derived from photon counting computed tomography and their correlation with tumor grade and Ki67 in pancreatic neuroendocrine neoplasia: A pilot study.Journal of neuroendocrinology · 2026Article
- Novel silicon-based material decomposition images in diagnosis of pancreatic ductal adenocarcinoma: comparison with iodine-based and 50-keV virtual monoenergetic images.Japanese journal of radiology · 2026Article
- Dual-energy CT for distinguishing between T3 and T4 stages of locally advanced nasopharyngeal carcinoma.Quantitative imaging in medicine and surgery · 2025Article
- Arterial Enhancement Fraction-Spectral CT-Based Model as Part of Prediction Model in BRAFDiagnostics (Basel, Switzerland) · 2025Article
- Spectral attenuation curves of photon-counting detector CT scans for the differentiation between mucinous and non-mucinous cyst fluids of pancreatic lesions - a proof-of-concept study.BMC medical imaging · 2025Article
- Improving lower-extremity artery depiction and diagnostic confidence using dual-energy technique and popliteal artery monitoring in dual-low dose CT angiography.Scientific reports · 2025Article
- The preoperative prediction of lymph node metastasis of resectable pancreatic ductal adenocarcinoma using dual-layer spectral computed tomography.European radiology · 2025Article
- The Usefulness of Low-Kiloelectron Volt Virtual Monochromatic Contrast-Enhanced Computed Tomography with Deep Learning Image Reconstruction Technique in Improving the Delineation of Pancreatic Ductal Adenocarcinoma.Journal of imaging informatics in medicine · 2025Article
- Photon-counting detector computed tomography: iodine density versus virtual monoenergetic imaging of pancreatic ductal adenocarcinoma.Abdominal radiology (New York) · 2025Article
- An update on pancreatic cancer imaging, staging, and use of the PACT-UK radiology template pre- and post-neoadjuvant treatment.The British journal of radiology · 2025Review
- Application of imaging technology for the diagnosis of malignancy in the pancreaticobiliary duodenal junction (Review).Oncology letters · 2024Review
- Spectral CT in the evaluation of perineural invasion status in rectal cancer.Japanese journal of radiology · 2024Article
- Dual-energy computed tomography with new virtual monoenergetic image reconstruction enhances prostate lesion image quality and improves the diagnostic efficacy for prostate cancer.BMC medical imaging · 2024Article
- A clinical-radiomics nomogram based on dual-layer spectral detector CT to predict cancer stage in pancreatic ductal adenocarcinoma.Cancer imaging : the official publication of the International Cancer Imaging Society · 2024Article
Corrections and comments
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Authors and funding
10 authors at 2 institutions in 1 country.
Funding
Abstract
objectivesTo evaluate the value of monoenergetic images (MEI [+]) and iodine maps in dual-source dual-energy computed tomography (DECT) for assessing pancreatic ductal adenocarcinoma (PDAC), including the visually isoattenuating PDAC. MATERIALS AND
methodsThis retrospective study included 75 PDAC patients, who underwent contrast-enhanced DECT examinations. Conventional polyenergetic image (PEI) and 40-80 keV MEI (+) (10-keV increments) were reconstructed. The tumor contrast, contrast-to-noise ratio (CNR) of the tumor and peripancreatic vessels, the signal-to-noise ratio (SNR) of the pancreas and tumor, and the tumor diameters were quantified. On iodine maps, the normalized iodine concentration (NIC) in the tumor and parenchyma was compared. For subjective analysis, two radiologists independently evaluated images on a 5-point scale.
resultsAll the quantitative parameters were maximized at 40-keV MEI (+) and decreased gradually with increasing energy. The tumor contrast, SNR of pancreas and CNRs in 40-60 keV MEI (+) were significantly higher than those in PEI (p < 0.05). For visually isoattenuating PDAC, 40-50 keV MEI (+) provided significantly higher tumor CNR compared to PEI (p < 0.05). The reproducibility in tumor measurements was highest in 40-keV MEI (+) between the two radiologists. The tumor and parenchyma NIC were 1.28 ± 0.65 and 3.38 ± 0.72 mg/mL, respectively (p < 0.001). 40-50 keV MEI (+) provided the highest subjective scores, compared to PEI (p < 0.001).
conclusionsLow-keV MEI (+) of DECT substantially improves the subjective and objective image quality and consistency of tumor measurements in patients with PDAC. Combining the low-keV MEI (+) and iodine maps may yield diagnostically adequate tumor conspicuity in visually isoattenuating PDAC.
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