ArticleCancer imaging : the official publication of the International Cancer Imaging Society2021
Dual-energy CT quantitative parameters for evaluating Immunohistochemical biomarkers of invasive breast cancer.
Article in Cancer imaging : the official publication of the International Cancer Imaging Society, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 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
30 citing papers in PubMed, 45 citations in OpenAlex.
- Lesion conspicuity assessment of prone 40-keV virtual monoenergetic imaging in arterial-phase photon-counting CT for breast cancer: a retrospective comparison with DCE-MRI.Japanese journal of radiology · 2026Article
- Noninvasive stratification of HER2 status in breast cancer using multiparametric DECT: a prospective cohort study.International journal of surgery (London, England) · 2026Article
- Pretreatment dual-energy CT versus diffusion-weighted imaging for predicting pathologic complete response to neoadjuvant chemotherapy in breast cancer.BMC medical imaging · 2026Article
- Spectral Precision: The Added Value of Dual-Energy CT for Axillary Lymph Node Characterization in Breast Cancer.Cancers · 2026Article
- Photon-counting computed tomography in esophageal cancer: correlation of iodine concentration with histopathology and treatment response to neoadjuvant radiochemotherapy.European radiology · 2025Article
- Modular breast and tumor perfusion phantoms for 4D dynamic contrast-enhanced dedicated breast CT.Medical physics · 2025Article
- Predict status of axillary lymph node after neoadjuvant chemotherapy with dual-energy CT in breast cancer.BMC medical imaging · 2025Article
- Analysis of material composition and attenuation characteristics of anthropomorphic torso phantoms for dosimetry using dual energy CT technology.Physical and engineering sciences in medicine · 2025Article
- Preoperative assessment of Ki-67 expression in hepatocellular carcinoma using a multi-parametric spectral CT approach.Quantitative imaging in medicine and surgery · 2025Article
- Dual-layer detector spectral computed tomography quantitative parameters for predicting pathological complete remission after neoadjuvant treatment of breast cancer.Quantitative imaging in medicine and surgery · 2025Article
- The value of spectral CT quantitative parameters in predicting Ki-67 level in ovarian cancer.Frontiers in oncology · 2025Article
- Evaluation of Ki-67 expression levels in esophageal squamous cell carcinoma using dual-energy CT quantitative parameters.Frontiers in oncology · 2025Article
- Prediction of Ki-67 expression in gastric gastrointestinal stromal tumors using histogram analysis of monochromatic and iodine images derived from spectral CT.Cancer imaging : the official publication of the International Cancer Imaging Society · 2024Article
- Preoperative prediction of Ki-67 expression in hepatocellular carcinoma by spectral imaging on dual-energy computed tomography (DECT).Quantitative imaging in medicine and surgery · 2024Article
- Development and validation of a model based on preoperative dual-layer detector spectral computed tomography 3D VOI-based quantitative parameters to predict high Ki-67 proliferation index in pancreatic ductal adenocarcinoma.Insights into imaging · 2024Article
- A prediction model based on dual-layer spectral detector computed tomography for distinguishing nonluminal from luminal invasive breast cancer.Quantitative imaging in medicine and surgery · 2024Article
- Innovative imaging approaches for neuroendocrine tumor characterization: Combined dual energy CT and perfusion protocol implementation.Radiology case reports · 2024Article
- Differentiating between benign and malignant breast lesions using dual-energy CT-based model: development and validation.Insights into imaging · 2024Article
- Development and validation of a model for predicting the expression of Ki-67 in pancreatic ductal adenocarcinoma with radiological features and dual-energy computed tomography quantitative parameters.Insights into imaging · 2024Article
- The diagnostic performance of dual-layer spectral detector CT for distinguishing breast cancer biomarker expression and molecular subtypes.Scientific reports · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 1 institution in 1 country.
Funding
Abstract
backgroundEstrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor 2 (HER2) and Ki67 are the most useful immunohistochemical biomarkers of invasive breast cancer. The purpose of this study is to investigate the possibility of quantitative parameters derived from dual-energy CT (DECT) to discriminate immunohistochemical biomarkers of invasive breast cancer.
methodsThis prospective study enrolled 120 patients with invasive breast cancer who underwent preoperative contrast-enhanced DECT for staging purposes from June 2019 to January 2020. DECT quantitative parameters, including normalized iodine concentration (NIC), the slope of the spectral Hounsfield unit curve (λ
resultsThe ER-negative group tended to display higher venous phase NIC and nZ
conclusionsNIC and nZ
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.