Search Results - "Journal of computer assisted tomography"

Clinical Applications of Arterial Spin Labeling in Brain Tumors by Abdel Razek, Ahmed Abdel Khalek, Talaat, Mona, El-Serougy, Lamiaa, Gaballa, Gada, Abdelsalam, Mohamed

“…The aim of this review was to review the basic background, technique, and clinical applications of arterial spin labeling in brain tumors. Arterial spin…”
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Diagnostic Value of Contrast-Enhanced Spectral Mammography in Comparison to Magnetic Resonance Imaging in Breast Lesions by Xing, Dong, Lv, Yongbin, Sun, Bolin, Xie, Haizhu, Dong, Jianjun, Hao, Cuijuan, Chen, Qianqian, Chi, Xiaoxiao

“…The aim of this study was to evaluate the diagnostic value between contrast-enhanced spectral mammography (CESM) and breast magnetic resonance imaging (MRI) in…”
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High-Resolution Computed Tomography Manifestations of 5 Pediatric Patients With 2019 Novel Coronavirus by Liu, Mengqi, Song, Zongbiao, Xiao, Kaihu

“…We present clinical and chest computed tomography (CT) features of 5 cases of pediatric patients with 2019 novel coronavirus. Two patients had fever and dry…”
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Current Update on Desmoid Fibromatosis by Ganeshan, Dhakshinamoorthy, Amini, Behrang, Nikolaidis, Paul, Assing, Matthew, Vikram, Raghunandan

“…The purpose of this article is to review the etiopathogenesis, molecular cytogenetics, histopathology, clinical features, and multimodality imaging features of…”
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Imaging of Moyamoya Disease and Moyamoya Syndrome: Current Status by Li, Jincheng, Jin, Meiyu, Sun, Xiaoyan, Li, Jingying, Liu, Yumei, Xi, Yanli, Wang, Qiang, Zhao, Wenzhuo, Huang, Yanzhi

“…Moyamoya disease (MMD) and Moyamoya syndrome (MMS) are referring to a progressive steno-occlusive vasculopathy at terminal portions of the bilateral internal…”
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White Paper of the Society of Computed Body Tomography and Magnetic Resonance on Dual-Energy CT, Part 1: Technology and Terminology by Siegel, Marilyn J, Kaza, Ravi K, Bolus, David N, Boll, Daniel T, Rofsky, Neil M, De Cecco, Carlo N, Foley, W Dennis, Morgan, Desiree E, Schoepf, U Joseph, Sahani, Dushyant V, Shuman, William P, Vrtiska, Terri J, Yeh, Benjamin M, Berland, Lincoln L

“…This is the first of a series of 4 white papers that represent Expert Consensus Documents developed by the Society of Computed Body Tomography and Magnetic…”
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Characterization of Parotid Tumors With Dynamic Susceptibility Contrast Perfusion-Weighted Magnetic Resonance Imaging and Diffusion-Weighted MR Imaging by Abdel Razek, Ahmed Abdel Khalek, Samir, Sieza, Ashmalla, Germeen Albair

“…To characterize parotid tumors with dynamic susceptibility contrast perfusion-weighted magnetic resonance (MR) imaging and diffusion-weighted MR imaging…”
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Radiomics for Classifying Histological Subtypes of Lung Cancer Based on Multiphasic Contrast-Enhanced Computed Tomography by E, Linning, Lu, Lin, Li, Li, Yang, Hao, Schwartz, Lawrence H, Zhao, Binsheng

“…The aim of this study was to evaluate the performance of the radiomics method in classifying lung cancer histological subtypes based on multiphasic…”
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Imaging of Brain Infarctions: Beyond the Usual Territories by Abdelrasoul, Ahmed Abdelzaher, Elsebaie, Nermeen A, Gamaleldin, Omneya A, Khalifa, Mohamed Hossameldin, Razek, Ahmed Abdel Khalek Abdel

“…In this review, our intension is to present imaging features of several categories of uncommon cases of brain infarctions including infarctions associated with…”
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Optimal Virtual Monoenergetic Photon Energy (keV) for Photon-Counting-Detector Computed Tomography Angiography by Dunning, Chelsea A. S., Rajendran, Kishore, Inoue, Akitoshi, Rajiah, Prabhakar, Weber, Nikkole, Fletcher, Joel G., McCollough, Cynthia H., Leng, Shuai

“…This study aimed to determine the optimal photon energy for virtual monoenergetic images (VMI) in computed tomography angiography (CTA) using…”
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Artificial Intelligence in Diagnostic Radiology: Where Do We Stand, Challenges, and Opportunities by Moawad, Ahmed W., Fuentes, David T., ElBanan, Mohamed G., Shalaby, Ahmed S., Guccione, Jeffrey, Kamel, Serageldin, Jensen, Corey T., Elsayes, Khaled M.

“…Artificial intelligence (AI) is the most revolutionizing development in the health care industry in the current decade, with diagnostic imaging having the…”
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Differentiating Benign From Malignant Cystic Renal Masses: A Feasibility Study of Computed Tomography Texture-Based Machine Learning Algorithms by Miskin, Nityanand, Qin, Lei, Silverman, Stuart G., Shinagare, Atul B.

“…The Bosniak classification attempts to predict the likelihood of renal cell carcinoma (RCC) among cystic renal masses but is subject to interobserver…”
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Possibility of Deep Learning in Medical Imaging Focusing Improvement of Computed Tomography Image Quality by Nakamura, Yuko, Higaki, Toru, Tatsugami, Fuminari, Honda, Yukiko, Narita, Keigo, Akagi, Motonori, Awai, Kazuo

“…Deep learning (DL), part of a broader family of machine learning methods, is based on learning data representations rather than task-specific algorithms. Deep…”
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Lung Cancer Screening Using Clinical Photon-Counting Detector Computed Tomography and Energy-Integrating-Detector Computed Tomography: A Prospective Patient Study by Inoue, Akitoshi, Johnson, Tucker F., Walkoff, Lara A., Levin, David L., Hartman, Thomas E., Burke, Kristin A., Rajendran, Kishore, Yu, Lifeng, McCollough, Cynthia H., Fletcher, Joel G.

“…To evaluate the diagnostic quality of photon-counting detector (PCD) computed tomography (CT) in patients undergoing lung cancer screening compared with…”
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Combining Dynamic Contrast-Enhanced Magnetic Resonance Imaging and Apparent Diffusion Coefficient Maps for a Radiomics Nomogram to Predict Pathological Complete Response to Neoadjuvant Chemotherapy in Breast Cancer Patients by Chen, Xiangguang, Chen, Xiaofeng, Yang, Jiada, Li, Yulin, Fan, Weixiong, Yang, Zhiqi

“…The objective of this study was to develop a nomogrom for prediction of pathological complete response (PCR) to neoadjuvant chemotherapy in breast cancer…”
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Liver Imaging Reporting and Data System Version 2018: What Radiologists Need to Know by Abdel Razek, Ahmed Abdel Khalek, El-Serougy, Lamiaa Galal, Saleh, Gehad Ahmad, Shabana, Walaa, Abd El-wahab, Rihame

“…In this article, we aim to review Liver Imaging Reporting and Data System version 18 (LI-RADS v2018). Hepatocellular carcinoma (HCC) is the most common primary…”
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Machine Learning to Predict the Rapid Growth of Small Abdominal Aortic Aneurysm by Hirata, Kenichiro, Nakaura, Takeshi, Nakagawa, Masataka, Kidoh, Masafumi, Oda, Seitaro, Utsunomiya, Daisuke, Yamashita, Yasuyuki

“…The purpose of this study was to determine whether computed tomography (CT) angiography with machine learning (ML) can be used to predict the rapid growth of…”
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Difference Between HPV-Positive and HPV-Negative Non-Oropharyngeal Head and Neck Cancer: Texture Analysis Features on CT by Fujita, Akifumi, Buch, Karen, Li, Baojun, Kawashima, Yusuke, Qureshi, Muhammad M, Sakai, Osamu

“…To identify the specific texture parameter that shows significant differences between human papillomavirus (HPV)-positive (HPV) and HPV-negative (HPV)…”
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Usefulness of Dual-Energy CT for Differentiating Hemorrhage From Iodine Extravasation in Meningiomas After Preoperative Embolization by Uchimura, Ryutaro, Khant, Zaw Aung, Hayashi, Hidetaka, Nagayama, Yasunori, Uetani, Hiroyuki, Kaku, Yasuyuki, Nagatomo, Tatsuhiro, Tamura, Yoshitaka, Yokogami, Kiyotaka, Mukasa, Akitake, Kiyosue, Hiro, Azuma, Minako, Hirai, Toshinori

“…Objective Discriminating between hemorrhage and iodine extravasation can pose challenges in conventional computed tomography (CCT) images following…”
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Preoperative Computed Tomography Radiomics-Based Models for Predicting Microvascular Invasion of Intrahepatic Mass-Forming Cholangiocarcinoma by Zhu, Yong, Chen, Jiao, Cui, Wenjing, Cui, Can, Jin, Hailin, Wang, Jianhua, Wang, Zhongqiu

“…Objectives The aim of the study is to investigate the ability of preoperative CT (Computed Tomography)-based radiomics signature to predict microvascular…”
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