OBJECTIVE This study aimed to explore the value of ADC histogram based on whole lesion volume in distinguishing stage IA endometrial carcinoma from the endometrial polyp. METHODS MR images of 108 patients with endometrial lesions confirmed by pathology were retrospectively analyzed, including 65 cases of stage IA endometrial carcinoma and 43 cases of endometrial polyp. The volumetric ADC histogram metrics and general imaging features were evaluated and measured simultaneously. All the features were compared between the two groups. The receiver operating characteristic curve (ROC) was utilized to evaluate the diagnostic performance. RESULTS The mean, max, min, and percentiles (10th, 25th, 50th, 75th, 95th) ADC values of endometrial carcinoma were significantly lower than that of polyp (all P<0.05). The skewness and kurtosis of ADC values in the endometrial carcinoma group were significantly higher than those in the endometrial polyp group, and the variance of ADC values in the endometrial carcinoma group was lower than those in the endometrial polyp group (all P<0.05). Endometrial carcinoma demonstrated more obvious myometrial invasion combined with intra-lesion hemorrhage than polyp (all P<0.05). The 25th percentile of ADC values achieved the largest AUC (0.861) among all the ADC histogram metrics and general imaging features, and the sensitivity and specificity were 83.08% and 76.74%, with the cut-off value of 1.01 × 10-3mm2/s. CONCLUSIONS The volumetric ADC histogram analysis was an effective method in differentiating endometrial carcinoma from an endometrial polyp. The 25th percentile of ADC values has satisfactory performance for detecting malignancy in the endometrium. ADVANCES IN KNOWLEDGE The ADC histogram metric based on whole lesion is a promising imaging-maker in differentiating endometrial benign and malignant lesions.
方法回顾性分析了108例经病理确诊的子宫内膜病变患者的SMR图像，其中包括65例IA期子宫内膜癌和43例子宫内膜息肉。同时评估和测量了容积 ADC 直方图指标和一般成像特征。对两组患者的所有特征进行比较。结果子宫内膜癌的 ADC 平均值、最大值、最小值和百分位数（第 10 位、第 25 位、第 50 位、第 75 位、第 95 位）均显著低于息肉（均 P<0.05）。子宫内膜癌组 ADC 值的偏度和峰度明显高于子宫内膜息肉组，子宫内膜癌组 ADC 值的方差低于子宫内膜息肉组（均 P<0.05）。子宫内膜癌比子宫内膜息肉表现出更明显的子宫肌层浸润合并病灶内出血（均P<0.05）。在所有 ADC 直方图指标和一般成像特征中，ADC 值第 25 百分位数的 AUC 最大（0.861），敏感性和特异性分别为 83.08% 和 76.74%，截断值为 1.01 × 10-3mm2/s。ADVANCES IN KNOWLEDGETThe ADC histogram metric based on whole lesion is a promising imaging-maker in differentiation endometrial benign and malign lesions.ADC值的第25百分位数在检测子宫内膜恶性病变方面表现令人满意。
{"title":"The volumetric ADC histogram analysis in differentiating stage IA endometrial carcinoma from endometrial polyp.","authors":"Yujiao Zhao, Cong You, Xin Zhou, Xiaotian Li, Cheng Zhang, Yanhong Wu, Wen Shen","doi":"10.1093/bjr/tqae081","DOIUrl":"https://doi.org/10.1093/bjr/tqae081","url":null,"abstract":"OBJECTIVE\u0000This study aimed to explore the value of ADC histogram based on whole lesion volume in distinguishing stage IA endometrial carcinoma from the endometrial polyp.\u0000\u0000\u0000METHODS\u0000MR images of 108 patients with endometrial lesions confirmed by pathology were retrospectively analyzed, including 65 cases of stage IA endometrial carcinoma and 43 cases of endometrial polyp. The volumetric ADC histogram metrics and general imaging features were evaluated and measured simultaneously. All the features were compared between the two groups. The receiver operating characteristic curve (ROC) was utilized to evaluate the diagnostic performance.\u0000\u0000\u0000RESULTS\u0000The mean, max, min, and percentiles (10th, 25th, 50th, 75th, 95th) ADC values of endometrial carcinoma were significantly lower than that of polyp (all P<0.05). The skewness and kurtosis of ADC values in the endometrial carcinoma group were significantly higher than those in the endometrial polyp group, and the variance of ADC values in the endometrial carcinoma group was lower than those in the endometrial polyp group (all P<0.05). Endometrial carcinoma demonstrated more obvious myometrial invasion combined with intra-lesion hemorrhage than polyp (all P<0.05). The 25th percentile of ADC values achieved the largest AUC (0.861) among all the ADC histogram metrics and general imaging features, and the sensitivity and specificity were 83.08% and 76.74%, with the cut-off value of 1.01 × 10-3mm2/s.\u0000\u0000\u0000CONCLUSIONS\u0000The volumetric ADC histogram analysis was an effective method in differentiating endometrial carcinoma from an endometrial polyp. The 25th percentile of ADC values has satisfactory performance for detecting malignancy in the endometrium.\u0000\u0000\u0000ADVANCES IN KNOWLEDGE\u0000The ADC histogram metric based on whole lesion is a promising imaging-maker in differentiating endometrial benign and malignant lesions.","PeriodicalId":516851,"journal":{"name":"The British Journal of Radiology","volume":"7 16","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140654590","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The COVID-19 pandemic, caused by the SARS-CoV-2 virus, has led to a diverse pattern of myocardial injuries, including myocarditis, which is linked to adverse outcomes in patients. Research indicates that myocardial injury is associated with higher mortality in hospitalized severe COVID-19 patients (75.8% versus 9.7%). Cardiovascular Magnetic Resonance (CMR) has emerged as a crucial tool in diagnosing both ischemic and non-ischemic myocardial injuries, providing detailed insights into the impact of COVID-19 on myocardial tissue and function. This review synthesizes existing studies on the histopathological findings and CMR imaging patterns of myocardial injuries in COVID-19 patients. CMR imaging has revealed a complex pattern of cardiac damage in these patients, including myocardial inflammation, oedema, fibrosis, and ischemic injury, due to coronary microthrombi. This review also highlights the role of LLC criteria in diagnosis of COVID-related myocarditis and the importance of CMR in detecting cardiac complications of COVID-19 in specific groups, such as children, manifesting multisystem inflammatory syndrome (MIS-C) and athletes, as well as myocardial injuries post-COVID-19 infection or following COVID-19 vaccination. By summarizing existing studies on CMR in COVID-19 patients and highlighting ongoing research, this review contributes to a deeper understanding of the cardiac impacts of COVID-19. It emphasizes the effectiveness of CMR in assessing a broad spectrum of myocardial injuries, thereby enhancing the management and prognosis of patients with COVID-19 related cardiac complications (Figure of summarized illustration of CMR findings of cardiac involvement in COVID-19).
{"title":"Magnetic Resonance Imaging of Cardiac Involvement in COVID-19.","authors":"M. Rafiee, Matthias G Friedrich","doi":"10.1093/bjr/tqae086","DOIUrl":"https://doi.org/10.1093/bjr/tqae086","url":null,"abstract":"The COVID-19 pandemic, caused by the SARS-CoV-2 virus, has led to a diverse pattern of myocardial injuries, including myocarditis, which is linked to adverse outcomes in patients. Research indicates that myocardial injury is associated with higher mortality in hospitalized severe COVID-19 patients (75.8% versus 9.7%). Cardiovascular Magnetic Resonance (CMR) has emerged as a crucial tool in diagnosing both ischemic and non-ischemic myocardial injuries, providing detailed insights into the impact of COVID-19 on myocardial tissue and function. This review synthesizes existing studies on the histopathological findings and CMR imaging patterns of myocardial injuries in COVID-19 patients. CMR imaging has revealed a complex pattern of cardiac damage in these patients, including myocardial inflammation, oedema, fibrosis, and ischemic injury, due to coronary microthrombi. This review also highlights the role of LLC criteria in diagnosis of COVID-related myocarditis and the importance of CMR in detecting cardiac complications of COVID-19 in specific groups, such as children, manifesting multisystem inflammatory syndrome (MIS-C) and athletes, as well as myocardial injuries post-COVID-19 infection or following COVID-19 vaccination. By summarizing existing studies on CMR in COVID-19 patients and highlighting ongoing research, this review contributes to a deeper understanding of the cardiac impacts of COVID-19. It emphasizes the effectiveness of CMR in assessing a broad spectrum of myocardial injuries, thereby enhancing the management and prognosis of patients with COVID-19 related cardiac complications (Figure of summarized illustration of CMR findings of cardiac involvement in COVID-19).","PeriodicalId":516851,"journal":{"name":"The British Journal of Radiology","volume":"49 13","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140660994","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Lahaye, D. Lambregts, A. Aalbers, P. Snaebjornsson, R. Beets-Tan, Niels F M Kok
The treatment landscape for patients with colon cancer is continuously evolving. Risk-adapted treatment strategies, including neoadjuvant chemotherapy and immunotherapy, are slowly finding their way into clinical practice and guidelines. Radiologists are pivotal in guiding clinicians toward the most optimal treatment for each colon cancer patient. This review provides an overview of recent and upcoming advances in the diagnostic management of colon cancer and the radiologist's role in the multidisciplinary approach to treating colon cancer.
{"title":"Imaging in the era of risk-adapted treatment in Colon cancer.","authors":"M. Lahaye, D. Lambregts, A. Aalbers, P. Snaebjornsson, R. Beets-Tan, Niels F M Kok","doi":"10.1093/bjr/tqae061","DOIUrl":"https://doi.org/10.1093/bjr/tqae061","url":null,"abstract":"The treatment landscape for patients with colon cancer is continuously evolving. Risk-adapted treatment strategies, including neoadjuvant chemotherapy and immunotherapy, are slowly finding their way into clinical practice and guidelines. Radiologists are pivotal in guiding clinicians toward the most optimal treatment for each colon cancer patient. This review provides an overview of recent and upcoming advances in the diagnostic management of colon cancer and the radiologist's role in the multidisciplinary approach to treating colon cancer.","PeriodicalId":516851,"journal":{"name":"The British Journal of Radiology","volume":"61 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140675689","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yuya Nitta, Y. Ueda, S. Ohira, M. Isono, Asako Hirose, S. Inui, S. Murata, Hikari Minami, Tomohiro Sagawa, Yukari Nagayasu, M. Miyazaki, K. Konishi
OBJECTIVES A portable respiratory training system with a gyroscope sensor (GRTS) was developed and the feasibility of respiratory training was evaluated. METHODS Simulated respiratory waveforms from a respiratory motion phantom and actual respirator waveforms from volunteers were acquired using the GRTS and Respiratory Gating for Scanners system (RGSC). Respiratory training was evaluated by comparing the stability and reproducibility of respiratory waveforms from patients undergoing liver stereotactic body radiation therapy, with and without the GRTS. The stability and reproducibility of respiratory waveforms were assessed by root mean square error and gold marker placement-based success rate of expiratory breath-hold, respectively. RESULTS The absolute mean difference for sinusoidal waveforms between the GRTS and RGSC was 2.1%. Among volunteers, the mean percentages of errors within ±15% of the respiratory waveforms acquired by the GRTS and RGSC were 95.5% for free breathing and 80.7% for expiratory breath-hold. The mean root mean square error and success rate of expiratory breath-hold (standard deviation) with and without the GRTS were 0.65 (0.24) and 0.88 (0.89) cm, and 91.0% (6.9) and 89.1% (11.6), respectively. CONCLUSIONS Respiratory waveforms acquired by the GRTS exhibit good agreement with waveforms acquired by the RGSC. Respiratory training with the GRTS reduces inter-patient variability in respiratory waveforms, thereby improving the success of expiratory breath-hold liver stereotactic body radiation therapy. ADVANCES IN KNOWLEDGE A respiratory training system with a gyroscope sensor is inexpensive and portabl, making it ideal for respiratory training. This is the first report concerning clinical implementation of a respiratory training system.
{"title":"Feasibility of a portable respiratory training system with a gyroscope sensor.","authors":"Yuya Nitta, Y. Ueda, S. Ohira, M. Isono, Asako Hirose, S. Inui, S. Murata, Hikari Minami, Tomohiro Sagawa, Yukari Nagayasu, M. Miyazaki, K. Konishi","doi":"10.1093/bjr/tqae085","DOIUrl":"https://doi.org/10.1093/bjr/tqae085","url":null,"abstract":"OBJECTIVES\u0000A portable respiratory training system with a gyroscope sensor (GRTS) was developed and the feasibility of respiratory training was evaluated.\u0000\u0000\u0000METHODS\u0000Simulated respiratory waveforms from a respiratory motion phantom and actual respirator waveforms from volunteers were acquired using the GRTS and Respiratory Gating for Scanners system (RGSC). Respiratory training was evaluated by comparing the stability and reproducibility of respiratory waveforms from patients undergoing liver stereotactic body radiation therapy, with and without the GRTS. The stability and reproducibility of respiratory waveforms were assessed by root mean square error and gold marker placement-based success rate of expiratory breath-hold, respectively.\u0000\u0000\u0000RESULTS\u0000The absolute mean difference for sinusoidal waveforms between the GRTS and RGSC was 2.1%. Among volunteers, the mean percentages of errors within ±15% of the respiratory waveforms acquired by the GRTS and RGSC were 95.5% for free breathing and 80.7% for expiratory breath-hold. The mean root mean square error and success rate of expiratory breath-hold (standard deviation) with and without the GRTS were 0.65 (0.24) and 0.88 (0.89) cm, and 91.0% (6.9) and 89.1% (11.6), respectively.\u0000\u0000\u0000CONCLUSIONS\u0000Respiratory waveforms acquired by the GRTS exhibit good agreement with waveforms acquired by the RGSC. Respiratory training with the GRTS reduces inter-patient variability in respiratory waveforms, thereby improving the success of expiratory breath-hold liver stereotactic body radiation therapy.\u0000\u0000\u0000ADVANCES IN KNOWLEDGE\u0000A respiratory training system with a gyroscope sensor is inexpensive and portabl, making it ideal for respiratory training. This is the first report concerning clinical implementation of a respiratory training system.","PeriodicalId":516851,"journal":{"name":"The British Journal of Radiology","volume":"84 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140675432","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The aim of this study was to determine the number of trade-off explored (TO) library plans required for building a RapidPlan (RP) library that would generate the optimal clinical treatment plan.
{"title":"Minimum library size determination for RapidPlan knowledge based planning system using multicriteria optimization.","authors":"Subhra S Biswal, Biplab Sarkar, Monika Goyal","doi":"10.1093/bjr/tqae084","DOIUrl":"https://doi.org/10.1093/bjr/tqae084","url":null,"abstract":"The aim of this study was to determine the number of trade-off explored (TO) library plans required for building a RapidPlan (RP) library that would generate the optimal clinical treatment plan.","PeriodicalId":516851,"journal":{"name":"The British Journal of Radiology","volume":"76 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140623153","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Han-Hsuan Liang, Hung-Yi Liu, Russell Oliver Kosik, Wing P Chan, Li-Nien Chien
This study aims to evaluate such usage patterns and identify factors that may contribute to the need for repeat imaging in acute ischemic stroke patients, and determine the association between repeat imaging and readmission in Taiwan.
{"title":"Association between repeat imaging and readmission in patients with acute ischemic stroke: a 16-year nationwide population-based study.","authors":"Han-Hsuan Liang, Hung-Yi Liu, Russell Oliver Kosik, Wing P Chan, Li-Nien Chien","doi":"10.1093/bjr/tqae082","DOIUrl":"https://doi.org/10.1093/bjr/tqae082","url":null,"abstract":"This study aims to evaluate such usage patterns and identify factors that may contribute to the need for repeat imaging in acute ischemic stroke patients, and determine the association between repeat imaging and readmission in Taiwan.","PeriodicalId":516851,"journal":{"name":"The British Journal of Radiology","volume":"60 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140623288","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Correction to: The dosimetric parameters impact on local recurrence in stereotactic radiotherapy for brain metastases.","authors":"","doi":"10.1093/bjr/tqae073","DOIUrl":"https://doi.org/10.1093/bjr/tqae073","url":null,"abstract":"","PeriodicalId":516851,"journal":{"name":"The British Journal of Radiology","volume":" 19","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140690376","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Alison Starke, Jacqueline Poxon, Kishen Patel, Paula Wells, Max Morris, Pandora Rudd, Karen Tipples, Niall MacDougall
To determine if Limbus, an AI auto-contouring software, can offer meaningful time savings for prostate radiotherapy treatment planning.
目的是确定人工智能自动轮廓软件 Limbus 能否为前列腺放射治疗规划节省大量时间。
{"title":"Clinical evaluation of the efficacy of limbus artificial intelligence software to augment contouring for prostate and nodes radiotherapy.","authors":"Alison Starke, Jacqueline Poxon, Kishen Patel, Paula Wells, Max Morris, Pandora Rudd, Karen Tipples, Niall MacDougall","doi":"10.1093/bjr/tqae077","DOIUrl":"https://doi.org/10.1093/bjr/tqae077","url":null,"abstract":"To determine if Limbus, an AI auto-contouring software, can offer meaningful time savings for prostate radiotherapy treatment planning.","PeriodicalId":516851,"journal":{"name":"The British Journal of Radiology","volume":"29 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140613472","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Thomas In de Braekt, Sanne B T van Rooij, Alette W Daniels-Gooszen, Wout A Scheepens, Rik de Jongh, Steven L Bosch, Joost Nederend
Prostate multiparametric magnetic resonance imaging (mpMRI) with subsequent targeted biopsy of suspicious lesions have a critical role in the diagnostic workup of prostate cancer. The objective was to evaluate the diagnostic accuracy of systematic biopsies, targeted biopsies, and the combination of both in prostate cancer detection.
{"title":"Accuracy of Magnetic Resonance Imaging-Ultrasound Fusion-Guided and Systematic Biopsy of the Prostate.","authors":"Thomas In de Braekt, Sanne B T van Rooij, Alette W Daniels-Gooszen, Wout A Scheepens, Rik de Jongh, Steven L Bosch, Joost Nederend","doi":"10.1093/bjr/tqae080","DOIUrl":"https://doi.org/10.1093/bjr/tqae080","url":null,"abstract":"Prostate multiparametric magnetic resonance imaging (mpMRI) with subsequent targeted biopsy of suspicious lesions have a critical role in the diagnostic workup of prostate cancer. The objective was to evaluate the diagnostic accuracy of systematic biopsies, targeted biopsies, and the combination of both in prostate cancer detection.","PeriodicalId":516851,"journal":{"name":"The British Journal of Radiology","volume":"175 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140613455","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sangwook Kim, Jimin Lee, Jungye Kim, Bitbyeol Kim, Chang Heon Choi, Seongmoon Jung
We propose a deep learning (DL) multi-task learning framework using convolutional neural network (CNN) for a direct conversion of single-energy CT (SECT) to three different parametric maps of dual-energy CT (DECT): Virtual-monochromatic image (VMI), effective atomic number (EAN), and relative electron density (RED).
{"title":"Conversion of single-energy computed tomography to parametric maps of dual-energy computed tomography using convolutional neural network.","authors":"Sangwook Kim, Jimin Lee, Jungye Kim, Bitbyeol Kim, Chang Heon Choi, Seongmoon Jung","doi":"10.1093/bjr/tqae076","DOIUrl":"https://doi.org/10.1093/bjr/tqae076","url":null,"abstract":"We propose a deep learning (DL) multi-task learning framework using convolutional neural network (CNN) for a direct conversion of single-energy CT (SECT) to three different parametric maps of dual-energy CT (DECT): Virtual-monochromatic image (VMI), effective atomic number (EAN), and relative electron density (RED).","PeriodicalId":516851,"journal":{"name":"The British Journal of Radiology","volume":"72 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140599497","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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