ArticleJapanese journal of radiology2020
Dual-energy computed tomography for evaluation of breast cancer: value of virtual monoenergetic images reconstructed with a noise-reduced monoenergetic reconstruction algorithm.
Article in Japanese journal of radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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15 citing papers in PubMed.
- Practical applications of photon-counting CT in oncology: an organ-based pictorial review.Insights into imaging · 2026Article
- Usefulness of four-dimensional noise reduction filtering using a similarity algorithm in low-dose dynamic computed tomography for the evaluation of breast cancer: a preliminary study.Japanese journal of radiology · 2025Article
- Value of spectral parameters in the differential diagnosis of benign and malignant breast nodules in non-enhanced chest CT.Quantitative imaging in medicine and surgery · 2024Article
- Improvement of Breast Cancer Detection Using Dual-Layer Spectral CT.Diagnostics (Basel, Switzerland) · 2024Article
- The diagnostic performance of dual-layer spectral detector CT for distinguishing breast cancer biomarker expression and molecular subtypes.Scientific reports · 2024Article
- Dual-Energy CT in Breast Cancer: Current Applications and Future Outlooks.Precision radiation oncology · 2023Review
- Virtual monochromatic spectral CT imaging in preoperative evaluations for intraductal spread of breast cancer: comparison with conventional CT and MRI.Japanese journal of radiology · 2023Article
- Evaluation of optimal monoenergetic images acquired by dual-energy CT in the diagnosis of T staging of thoracic esophageal cancer.Insights into imaging · 2023Article
- Predicting axillary lymph node metastasis in breast cancer using the similarity of quantitative dual-energy CT parameters between the primary lesion and axillary lymph node.Japanese journal of radiology · 2022Article
- Dual-Energy Computed Tomography for Evaluation of Breast Cancer Follow-Ups: Comparison of Virtual Monoenergetic Images and Iodine-Map.Diagnostics (Basel, Switzerland) · 2022Article
- Diagnostic value of dual-energy CT and clinicopathological and imaging feature analysis of mixed endometrial stromal and smooth muscle tumors with intracardiac extension.Frontiers in cardiovascular medicine · 2022Article
- Dual-energy CT quantitative parameters for the differentiation of benign from malignant lesions and the prediction of histopathological and molecular subtypes in breast cancer.Quantitative imaging in medicine and surgery · 2021Article
- Subjective and Objective Assessment of Monoenergetic and Polyenergetic Images Acquired by Dual-Energy CT in Breast Cancer.Korean journal of radiology · 2021Article
- Giant epidermal inclusion cyst with infection arising within the breast parenchyma: a case report.The Journal of international medical research · 2021Article
- Dual energy CT in gland tumors: a comprehensive narrative review and differential diagnosis.Gland surgery · 2020Review
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13 authors.
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Abstract
purposeTo evaluate the image quality and lesion visibility of virtual monoenergetic images (VMIs) reconstructed using a new monoenergetic reconstruction algorithm (nMERA) for evaluation of breast cancer. MATERIALS AND
methodsForty-two patients with 46 breast cancers who underwent 4-phasic breast contrast-enhanced computed tomography (CT) using dual-energy CT (DECT) were enrolled. We selected the peak enhancement phase of the lesion in each patient. The selected phase images were generated by 120-kVp-equivalent linear blended (M120) and monoenergetic reconstructions from 40 to 80 keV using the standard reconstruction algorithm (sMERA: 40, 50, 60, 70, 80) and nMERA (40 +, 50 +, 60 +, 70 +, 80 +). The contrast-to-noise ratio (CNR) was calculated and objectively analyzed. Two independent readers subjectively scored tumor visibility and image quality each on a 5-point scale.
resultsThe CNR at 40 + and tumor visibility scores at 40 + and 50 + were significantly higher than those on M120. The CNR at 50 + was not significantly different from that on M120. However, the overall image quality score at 40 + was significantly lower than that at 50 + and on M120 (40 + vs M120, P < 0.0001 and 40 + vs 50 +, P = 0.0001).
conclusionsVMI reconstructed with nMERA at 50 keV is preferable for evaluation of patients with breast cancer.
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