ArticleFrontiers in oncology2022
Utility of dual-layer spectral-detector CT imaging for predicting pathological tumor stages and histologic grades of colorectal adenocarcinoma.
Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
22 citing papers in PubMed.
- Clinical indicators combined with spectral CT in differentiating non-muscle-invasive bladder urothelial carcinoma from cystitis glandularis.Abdominal radiology (New York) · 2026Article
- Quantitative dual-energy computed tomography parameters as imaging biomarkers for assessing the histopathologic grade of colorectal cancer.Quantitative imaging in medicine and surgery · 2026Article
- Dual-Layer Spectral CT for Locoregional Assessment of Rectal Cancer: A Comparison with MRI in a Pilot Study.Diagnostics (Basel, Switzerland) · 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
- Article
- Parameters of dual-layer spectral detector CT for differentiating pathological types of colorectal adenocarcinoma.Insights into imaging · 2026Article
- A nomogram based on dual-layer spectral detector CT-derived 40-KeV virtual monoenergetic images and iodine maps for preoperative prediction of regional lymph node metastasis in colorectal cancer.BMC medical imaging · 2026Article
- Research progress of the clinical application of dual-layer spectral computed tomography in gastrointestinal malignancies.World journal of radiology · 2026Review
- Spectral CT imaging in colorectal cancer: current applications, limitations, and future perspectives.Insights into imaging · 2026Review
- Multi-DECT image-based radiomics with interpretable machine learning for preoperative prediction of tumor budding grade and prognosis in colorectal cancer: a dual-center study.Abdominal radiology (New York) · 2026Article
- Preoperative prediction of tumor budding in colorectal cancer based on quantitative parameters of dual-layer detector spectral computed tomography: a preliminary study.Journal of gastrointestinal oncology · 2025Article
- The clinical applications of dual-layer spectral detector CT in digestive system diseases.European radiology · 2025Review
- Diagnostic value of dual-layer spectral detector CT parameters for differentiating high- from low-grade bladder cancer.Insights into imaging · 2025Article
- Radiomics analysis of dual-layer spectral-detector CT-derived iodine maps for predicting tumor deposits in colorectal cancer.European radiology · 2025Article
- Early rectal neoplasm in dual-layer spectral detector computed tomography: dual-layer spectral computed tomography (CT) images improve tumor detection and staging.Quantitative imaging in medicine and surgery · 2024Article
- The value of preoperative diagnosis of colorectal adenocarcinoma pathological T staging based on dual-layer spectral-detector computed tomography extracellular volume fraction: a preliminary study.Japanese journal of radiology · 2024Article
- Prediction of histologic grade of hepatocellular carcinoma using dual-layer spectral-detector computed tomography (CT): comparison of two region of interest plotting methods.Quantitative imaging in medicine and surgery · 2024Article
- Performance of dual-layer spectrum CT virtual monoenergetic images to assess early rectal adenocarcinoma T-stage: comparison with MR.Insights into imaging · 2024Article
- Mono+ algorithm assessment of the diagnostic value of dual-energy CT for high-risk factors for colorectal cancer: a preliminary study.Quantitative imaging in medicine and surgery · 2024Article
- Predictive modeling based on tumor spectral CT parameters and clinical features for postoperative complications in patients undergoing colon resection for cancer.Insights into imaging · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objectives: To assess the utility of Dual-layer spectral-detector CT (DLCT) in predicting the pT stage and histologic grade for colorectal adenocarcinoma (CRAC). Methods: A total of 131 patients (mean 62.7 ± 12.9 years; 72 female, 59 male) with pathologically confirmed CRAC (35 pT1-2, 61 pT3, and 35 pT4; 32 high grade and 99 low grade), who received dual-phase DLCT were enrolled in this retrospective study. Normalized iodine concentration (NIC), slope of the spectral HU curve (λHU), and effective atomic number (Eff-Z) were measured for each lesion by two radiologists independently. Intraobserver reliability and interobserver agreement were assessed. The above values were compared between three pT-stage and two histologic-grade groups. The correlation between the pT stages and above values were assessed. Receiver operating characteristic (ROC) curves were calculated to evaluate the diagnostic efficacy. Results: Intra-class correlation coefficients were ranged from 0.856 to 0.983 for all measurements. Eff-Z [7.21(0.09) vs 7.31 (0.10) vs 7.35 (0.19)], NIC Conclusions: The quantitative parameters derived from DLCT may provide new markers for assessing pT stages and histologic differentiation in patients with CRAC.
Indexed as
Identifiers
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.