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Policies and Practices Regarding Preparative Fasting for Contrast-Enhanced Computed Tomography: A Nationwide Survey. J. Comput. Assist. Tomogr. (IF 1.3) Pub Date : 2024-03-04 Jianjie Li, Li Cai, Li Zhao, Junling Liu, Fang Lan, Yuan Li, Heng Liu, Xue Li
To evaluate current policies and practices regarding preparative fasting before contrast-enhanced computed tomography (CECT) and the knowledge and attitudes of radiology head nurses.
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Estimating Body Weight From Measurements From Different Single-Slice Computed Tomography Levels: An Evaluation of Total Cross-Sectional Body Area Measurements and Deep Learning. J. Comput. Assist. Tomogr. (IF 1.3) Pub Date : 2024-02-27 Shota Ichikawa, Hiroyuki Sugimori
This study aimed to evaluate the correlation between the estimated body weight obtained from 2 easy-to-perform methods and the actual body weight at different computed tomography (CT) levels and determine the best reference site for estimating body weight.
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Liver Imaging in Gastroenteropancreatic Neuroendocrine Neoplasms. J. Comput. Assist. Tomogr. (IF 1.3) Pub Date : 2024-02-27 Sunil Jeph, Shiva Gupta, Sireesha Yedururi, Taher E Daoud, Nir Stanietzky, Ajaykumar C Morani
The incidence of neuroendocrine neoplasms (NENs) has gradually increased over the past few decades with the majority of patients presenting with metastases on initial presentation. The liver is the most common site of initial metastatic disease, and the presence of liver metastasis is an independent prognostic factor associated with a negative outcome. Because NENs are heterogenous neoplasms with variable
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Risk of Malignancy in Incidentally Detected Lung Nodules in Patients Aged Younger Than 35 Years. J. Comput. Assist. Tomogr. (IF 1.3) Pub Date : 2024-02-27 Suzanne C Byrne, Caroline Peers, Mary Louise Gargan, Ronilda Lacson, Ramin Khorasani, Mark M Hammer
The risk of malignancy in pulmonary nodules incidentally detected on computed tomography (CT) in patients who are aged younger than 35 years is unclear.
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Prognostic Value of a Combined Nomogram Model Integrating 3-Dimensional Deep Learning and Radiomics for Head and Neck Cancer. J. Comput. Assist. Tomogr. (IF 1.3) Pub Date : 2024-02-27 Shuyan Li, Jiayi Xie, Jinghua Liu, Yanjun Wu, Zhongxiao Wang, Zhendong Cao, Dong Wen, Xiaolei Zhang, Bingzhen Wang, Yifan Yang, Lijun Lu, Xianling Dong
The preoperative prediction of the overall survival (OS) status of patients with head and neck cancer (HNC) is significant value for their individualized treatment and prognosis. This study aims to evaluate the impact of adding 3D deep learning features to radiomics models for predicting 5-year OS status.
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An Illustrated Review of the Recent 2019 World Health Organization Classification of Neuroendocrine Neoplasms: A Radiologic and Pathologic Correlation. J. Comput. Assist. Tomogr. (IF 1.3) Pub Date : 2024-02-27 Stephan Ursprung, Lisa Zhang, Luigi Asmundo, Mina Hesami, Zhara Najmi, Lina Garcia Cañamaque, Anuradha S Shenoy-Bhangle, Theodore T Pierce, Amirkasra Mojtahed, Michael A Blake, Rory Cochran, Konstantin Nikolau, Mukesh G Harisinghani, Onofrio A Catalano
Recent advances in molecular pathology and an improved understanding of the etiology of neuroendocrine neoplasms (NENs) have given rise to an updated World Health Organization classification. Since gastroenteropancreatic NENs (GEP-NENs) are the most common forms of NENs and their incidence has been increasing constantly, they will be the focus of our attention. Here, we review the findings at the foundation
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Evaluation of the Usefulness of Contrast-Enhanced Computed Tomography for the Early Detection of Anastomotic Leakage After Esophagectomy. J. Comput. Assist. Tomogr. (IF 1.3) Pub Date : 2024-02-12 Kazuhiko Morikawa, Yuichiro Tanishima, Takao Igarashi, Yohei Ohki, Keita Takahashi, Takanori Kurogochi, Fumiaki Yano, Hiroya Ojiri
Anastomotic leakage is one of the most severe complications after esophagectomy. However, a diagnostic gold standard for anastomotic leakage has not been established yet. This retrospective cohort study aimed to evaluate the potential use of routine postoperative contrast-enhanced computed tomography findings as an early predictor of anastomotic leakage in patients who underwent esophagectomy for esophageal
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Virtual Monoenergetic Images Facilitate Better Identification of the Arc of Riolan During Splenic Flexure Takedown. J. Comput. Assist. Tomogr. (IF 1.3) Pub Date : 2024-02-12 Qian Li, Pengfei Zhang, Ranxu Zhang, Jianfeng Zhang, Ruoxi Tian, Tianyi Gao, Yu Huang, Ping Zhang, Wei Wei, Rui Hong, Guiying Wang, Jian Zhao
This study aimed to investigate whether virtual monoenergetic images (VMIs) can aid radiologists and surgeons in better identifying the arc of Riolan (AOR) and to determine the optimal kilo electron volt (keV) level.
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Liver Biliary Function Evaluation on a 1.5T Magnetic Resonance Imaging Scan by T1 Reduction Rate Assessment Using Variable-Flip-Angle Sequences. J. Comput. Assist. Tomogr. (IF 1.3) Pub Date : 2024-02-12 Marco Di Stasio, Cesare Cordopatri, Cosimo Nardi, Simone Busoni, Linhsia Noferini, Stefano Colagrande, Linda Calistri
Magnetic resonance (MR) relaxometry is an absolute and reproducible quantitative method, compared with signal intensity for the evaluation of liver biliary function. This is obtainable by the T1 reduction rate (T1RR), as it carries a smaller systematic error than the pre/post contrast agent T1 measurement. We aimed to develop and test an MR T1 relaxometry tool tailored for the evaluation of liver T1RR
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Optimizing High-Resolution MR Angiography: The Synergistic Effects of 3D Wheel Sampling and Deep Learning-Based Reconstruction. J. Comput. Assist. Tomogr. (IF 1.3) Pub Date : 2024-02-12 Goh Sasaki, Hiroyuki Uetani, Takeshi Nakaura, Keiichi Nakahara, Kosuke Morita, Yasunori Nagayama, Masafumi Kidoh, Koya Iwashita, Naofumi Yoshida, Masamichi Hokamura, Yuichi Yamashita, Makoto Nakajima, Mitsuharu Ueda, Toshinori Hirai
The aim of this study was to assess the utility of the combined use of 3D wheel sampling and deep learning-based reconstruction (DLR) for intracranial high-resolution (HR)-time-of-flight (TOF)-magnetic resonance angiography (MRA) at 3 T.
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Relationship Analysis Between Pericoronary Fat Attenuation Index and Parameters of Single Plaque. J. Comput. Assist. Tomogr. (IF 1.3) Pub Date : 2024-02-08 Ji-Yan Nie, Wen-Xi Chen, Qing-De Wu
The aim of the study is to investigate the relationship between plaque parameters and pericoronary fat attenuation index (FAI).
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Computed Tomography Volumetry of Bone Cement: Retrospective Blinded Validation of Commercially Available Semi-automated Edge Detection Software. J. Comput. Assist. Tomogr. (IF 1.3) Pub Date : 2024-02-05 Alan A Sag, Ernest Barral, Russell E Thompson, C Rory Goodwin, James Ronald
Cement volumes are increasingly linked to orthopedic oncology and neurosurgical outcomes (construct durability, adjacent fracture), but manual cement volumetry remains time prohibitive. The authors aim to report performance of PACS-integrated volumetric software specifically for barium-enhanced polymethylmethacrylate cement.
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Spectrum of Thoracic Imaging Findings in the Setting of Substance Abuse. J. Comput. Assist. Tomogr. (IF 1.3) Pub Date : 2024-01-25 Lauren S Gann, Jeffrey R Kunin, Mohamed Ebada, Christopher M Walker
Substance abuse continues to be prevalent nationwide and can lead to a myriad of chest pathologies. Imaging findings are vast and can include nodules, masses, ground-glass opacities, airspace disease, and cysts. Radiologists with awareness of these manifestations can assist in early identification of disease in situations where information is unable to be obtained from the patient. This review focuses
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Pretreatment Interstitial Lung Abnormalities Detected on Abdominal Computed Tomography Scans in Prostate Cancer Patients. J. Comput. Assist. Tomogr. (IF 1.3) Pub Date : 2024-01-25 Hyun Jin Kim, Won Gi Jeong, Jeong Yeop Lee, Hyo-Jae Lee, Byung Chan Lee, Hyo Soon Lim, Yun-Hyeon Kim
Prostate cancer and interstitial lung abnormality (ILA) share similar risk factor, which is men and older age. The purpose of this study was to investigate the prevalence of pretreatment ILA among prostate cancer patients who underwent abdominal computed tomography (CT) within 1 year at their first visit to the urology department. In addition, we aimed to assess the association between pretreatment
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Medial Patellar Plica Thickness as a Morphologic Predictor of the Medial Patellar Plica Syndrome. J. Comput. Assist. Tomogr. (IF 1.3) Pub Date : 2024-01-22 Dong Kyu Kim, Kyu-Chong Lee, Do Won Yoon, Taeho Kim
The aim of this study was to evaluate the association between medial patellar plica (MPP) syndrome and the morphological features of the MPP, including length, width, and thickness, on knee magnetic resonance imaging (MRI).
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Maternal and Fetal Radiation-Induced Cancer Risk From Computed Tomography Pulmonary Angiography During Pregnancy: A Retrospective Cohort Study Across a Multihospital Integrated Health Care Network. J. Comput. Assist. Tomogr. (IF 1.3) Pub Date : 2024-01-16 Stuart L Cohen, Chinara Feizullayeva, Jason J Wang, Nicholas Chan, John Austin McCandlish, Paul P Cronin, Matthew A Barish, William O'Connell, Pina C Sanelli
Computed tomography pulmonary angiogram (CTPA) is important to evaluate suspected pulmonary embolism in pregnancy but has maternal/fetal radiation risks. The objective of this study was to estimate maternal and fetal radiation-induced cancer risk from CTPA during pregnancy.
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Visual Knowledge Domain of Artificial Intelligence in Computed Tomography: A Review Based on Bibliometric Analysis. J. Comput. Assist. Tomogr. (IF 1.3) Pub Date : 2024-01-16 Kunshu Zhu, Zefang Shen, Min Wang, Lufang Jiang, Ye Zhang, Tiantong Yang, Haidong Zhang, Mengzhou Zhang
Artificial intelligence (AI)-assisted medical imaging technology is a new research area of great interest that has developed rapidly over the last decade. However, there has been no bibliometric analysis of published studies in this field. The present review focuses on AI-related studies on computed tomography imaging in the Web of Science database and uses CiteSpace and VOSviewer to generate a knowledge
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Noninvasive Isocitrate Dehydrogenase 1 Status Prediction in Grade II/III Glioma Based on Magnetic Resonance Images: A Transfer Learning Strategy. J. Comput. Assist. Tomogr. (IF 1.3) Pub Date : 2024-01-16 Jin Zhang, Yuyao Wang, Yang Yang, Yu Han, Ying Yu, Yuchuan Hu, Shouheng Liang, Qian Sun, Danting Shang, Jiajun Bi, Guangbin Cui, Linfeng Yan
The aim of this study was to evaluate transfer learning combined with various convolutional neural networks (TL-CNNs) in predicting isocitrate dehydrogenase 1 (IDH1) status of grade II/III gliomas.
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Three-dimensional Volumetric Visceral and Subcutaneous Fat Analysis on Opportunistic Computed Tomography Imaging of Patients With Greater Trochanteric Pain Syndrome Compared With Those With Predominant Osteoarthritis: A Case-Control Study. J. Comput. Assist. Tomogr. (IF 1.3) Pub Date : 2024-01-12 Priyanka Garigipati, Mahad Rehman, Yin Xi, Avneesh Chhabra
This study aimed to address the gap in knowledge assessing the impact of visceral and subcutaneous body fat on 3-dimensional computed tomography imaging in patients with greater trochanteric pain syndrome (GTPS) in comparison with those primarily diagnosed with osteoarthritis (OA).
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Prototype Description and Ex Vivo Evaluation of a System for Combined Endorectal Magnetic Resonance Imaging and In-Bore Biopsy of the Prostate. J. Comput. Assist. Tomogr. (IF 1.3) Pub Date : 2024-01-12 Fergus V Coakley, Bryan R Foster, David W Schroeder, William D Rooney, Randall W Jones, Christopher L Amling
We describe early ex vivo proof-of-concept testing of a novel system composed of a disposable endorectal coil and converging multichannel needle guide with a reusable clamp stand, embedded electronics, and baseplate to allow for endorectal magnetic resonance (MR) imaging and in-bore MRI-targeted biopsy of the prostate as a single integrated procedure. Using prostate phantoms imaged with standard T2-weighted
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Characterization of Demographical Histologic Diversity in Small Renal Masses With the Clear Cell Likelihood Score. J. Comput. Assist. Tomogr. (IF 1.3) Pub Date : 2024-01-09 Louis C Vazquez, Yin Xi, Robert G Rasmussen, Jose E Rodriguez Venzor, Payal Kapur, Hua Zhong, Jessica C Dai, Tara N Morgan, Jeffrey A Cadeddu, Ivan Pedrosa
This study aimed to develop a diagnostic model to estimate the distribution of small renal mass (SRM; ≤4 cm) histologic subtypes for patients with different demographic backgrounds and clear cell likelihood score (ccLS) designations.
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Patients With Post-COVID-19 Respiratory Condition: Chest Computed Tomography Findings and Pulmonary Function Tests and Comparison With Asymptomatic Participants. J. Comput. Assist. Tomogr. (IF 1.3) Pub Date : 2024-01-09 Furkan Ufuk, Ahmet Yasin Yitik, Burak Sarilar, Goksel Altinisik
The aims of this study were to assess the chest computed tomography (CT) findings in post-COVID-19 respiratory condition (rPCC) patients and compare the findings with asymptomatic participants (APs). It also aimed to evaluate the relationship between CT findings and pulmonary function tests (PFTs) in rPCC patients. Finally, it aimed to compare the quantitative chest CT findings and PFT results of patients
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Feasibility of Breath-Hold Zero TE Magnetic Resonance Imaging Sequence for Evaluation of Pulmonary Arteriovenous Malformations After Embolotherapy. J. Comput. Assist. Tomogr. (IF 1.3) Pub Date : 2023-12-18 Yoshiko Hayashida, Yu Murakami, Satoshi Fukumitsu, Yuta Yoshimatsu, Kenta Anai, Yo Todoroki, Akitaka Fujisaki, Satoru Ide, Takatoshi Aoki
We obtained breath-hold zero TE (ZTE) magnetic resonance imaging for the evaluation of pulmonary arteriovenous malformations before and after embolotherapy. To the best of our knowledge, there have been no reports of ZTE for the entire lung imaging in single breath-hold scan time such as 20 seconds. Breath-hold ZTE magnetic resonance imaging can be a useful technique for magnetic resonance-based follow-up
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Artificial Intelligence-Based Emphysema Quantification in Routine Chest Computed Tomography: Correlation With Spirometry and Visual Emphysema Grading. J. Comput. Assist. Tomogr. (IF 1.3) Pub Date : 2023-12-18 Damian Wiedbrauck, Maciej Karczewski, Stefan O Schoenberg, Christian Fink, Hany Kayed
The aim of the study is to assess the correlation between artificial intelligence (AI)-based low attenuation volume percentage (LAV%) with forced expiratory volume in the first second to forced vital capacity (FEV1/FVC) and visual emphysema grades in routine chest computed tomography (CT). Furthermore, optimal LAV% cutoff values for predicting a FEV1/FVC < 70% or moderate to more extensive visual emphysema
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Krukenberg Tumors in Young Women: Computed Tomography and Magnetic Resonance Imaging Diagnosis. J. Comput. Assist. Tomogr. (IF 1.3) Pub Date : 2023-12-18 Gary G Ghahremani
The purpose of this report was to present the computed tomography (CT) and magnetic resonance imaging (MRI) features of Krukenberg tumors and to review the pertinent clinical data about the rising incidence of this malignancy among young women.
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Small Bowel Neuroendocrine Neoplasms-A Review. J. Comput. Assist. Tomogr. (IF 1.3) Pub Date : 2023-12-18 Sai Swarupa Vulasala, Mayur Virarkar, Dheeraj Gopireddy, Rebecca Waters, Ahmad Alkhasawneh, Ziad Awad, Jessica Maxwell, Nisha Ramani, Sindhu Kumar, Nirmal Onteddu, Ajaykumar C Morani
Neuroendocrine neoplasms (NENs) are rapidly evolving small bowel tumors, and the patients are asymptomatic at the initial stages. Metastases are commonly observed at the time of presentation and diagnosis. This review addresses the small bowel NEN (SB-NEN) and its molecular, histological, and imaging features, which aid diagnosis and therapy guidance. Somatic cell number alterations and epigenetic
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Radiomics Analysis to Predict Lymphovascular Invasion of Gastric Cancer Based on Iodine-Based Material Decomposition Images and Virtual Monoenergetic Images. J. Comput. Assist. Tomogr. (IF 1.3) Pub Date : 2023-12-18 Cen Shi, Jiulong Yan, Yixing Yu, Chunhong Hu
This study aimed to investigate the utility of virtual monoenergetic images (VMIs) and iodine-based material decomposition images (IMDIs) in the assessment of lymphovascular invasion (LVI) in gastric cancer (GC) patients.
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The Clinical Value of Apparent Diffusion Coefficient of Readout Segmentation of Long Variable Echo Trains and Correlation With Ki-67 Expression in Distal Rectal Cancer. J. Comput. Assist. Tomogr. (IF 1.3) Pub Date : 2023-12-18 Yu-Ning Pan, Meng-Yin Gu, Quan-Liang Mao, Hui-Ying Wang, Yi-Chuan Liang, Lin Zhang, Guang-Yu Tang
The aim of the study is to explore the clinical value of the apparent diffusion coefficient (ADC) derived from the readout segmentation of long variable echo trains (RESOLVE) technique for identifying clinicopathologic features of distal rectal cancer and correlations between ADC and Ki-67 expression.
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Magnetic Resonance Imaging Features for Differentiating Low-Grade and High-Grade Malignant Peripheral Nerve Sheath Tumors. J. Comput. Assist. Tomogr. (IF 1.3) Pub Date : 2023-12-12 Nao Yamada, Hiroki Kato, Masaya Kawaguchi, Natsuko Suzui, Tatsuhiko Miyazaki, Akihito Nagano, Yoshifumi Noda, Fuminori Hyodo, Masayuki Matsuo
This study aimed to assess the usefulness of magnetic resonance imaging (MRI) findings for differentiating low-grade and high-grade malignant peripheral nerve sheath tumors (MPNSTs).
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Utilization of Radiomics Features Extracted From Preoperative Medical Images to Detect Metastatic Lymph Nodes in Cholangiocarcinoma and Gallbladder Cancer Patients: A Systemic Review and Meta-analysis. J. Comput. Assist. Tomogr. (IF 1.3) Pub Date : 2023-11-27 Mohammad Mirza-Aghazadeh-Attari, Shadi Afyouni, Ghazal Zandieh, Iman Yazdani Nia, Alireza Mohseni, Ali Borhani, Seyedeh Panid Madani, Haneyeh Shahbazian, Golnoosh Ansari, Amy Kim, Ihab R Kamel
This study aimed to determine the methodological quality and evaluate the diagnostic performance of radiomics features in detecting lymph node metastasis on preoperative images in patients with cholangiocarcinoma and gallbladder cancer.
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Does Dual-Energy Computed Tomography Material Decomposition Improve Radiomics Capability to Predict Survival in Head and Neck Squamous Cell Carcinoma Patients? A Preliminary Investigation. J. Comput. Assist. Tomogr. (IF 1.3) Pub Date : 2023-11-27 Simon Bernatz, Ines Böth, Jörg Ackermann, Iris Burck, Scherwin Mahmoudi, Lukas Lenga, Simon S Martin, Jan-Erik Scholtz, Vitali Koch, Leon D Grünewald, Ina Koch, Timo Stöver, Peter J Wild, Ria Winkelmann, Thomas J Vogl, Daniel Pinto Dos Santos
Our study objective was to explore the additional value of dual-energy CT (DECT) material decomposition for squamous cell carcinoma of the head and neck (SCCHN) survival prognostication.
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Computed Tomography-Based Radiomics Signature for Predicting Segmental Chromosomal Aberrations at 1p36 and 11q23 in Pediatric Neuroblastoma. J. Comput. Assist. Tomogr. (IF 1.3) Pub Date : 2023-11-27 Haoru Wang, Chunlin Yu, Hao Ding, Li Zhang, Xin Chen, Ling He
This study aimed to develop and assess the precision of a radiomics signature based on computed tomography imaging for predicting segmental chromosomal aberrations (SCAs) status at 1p36 and 11q23 in neuroblastoma.
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Multicenter Study of the Utility of Convolutional Neural Network and Transformer Models for the Detection and Segmentation of Meningiomas. J. Comput. Assist. Tomogr. (IF 1.3) Pub Date : 2023-11-27 Xin Ma, Lingxiao Zhao, Shijie Dang, Yajing Zhao, Yiping Lu, Xuanxuan Li, Peng Li, Yibo Chen, Nan Mei, Bo Yin, Daoying Geng
This study aimed to investigate the effectiveness and practicality of using models like convolutional neural network and transformer in detecting and precise segmenting meningioma from magnetic resonance images.
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Single-Plane 3-Dimensional Isotropic Spin-Echo Magnetic Resonance Imaging Reconstructions of Shoulder Exhibit Superior Correlation to Surgical Findings Than 2-Dimensional Dixon Multiplanar Magnetic Resonance Imaging. J. Comput. Assist. Tomogr. (IF 1.3) Pub Date : 2023-11-27 Shamrez Haider, Alison Cabrera, Uma Thakur, Yin Xi, Avneesh Chhabra
The aim of the study is to evaluate concordance of multiplanar 2-dimensional magnetic resonance imaging (2D-MRI) versus 3D isotropic MRI for rotator cuff and labral tears with the reference standard of arthroscopic surgical findings.
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Effects of the Training Data Condition on Arterial Spin Labeling Parameter Estimation Using a Simulation-Based Supervised Deep Neural Network. J. Comput. Assist. Tomogr. (IF 1.3) Pub Date : 2023-11-17 Shota Ishida, Makoto Isozaki, Yasuhiro Fujiwara, Naoyuki Takei, Masayuki Kanamoto, Hirohiko Kimura, Tetsuya Tsujikawa
A simulation-based supervised deep neural network (DNN) can accurately estimate cerebral blood flow (CBF) and arterial transit time (ATT) from multidelay arterial spin labeling signals. However, the performance of deep learning depends on the characteristics of the training data set. We aimed to investigate the effects of the ground truth (GT) ranges of CBF and ATT on the performance of the DNN when
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Photon-Counting Computed Tomography Versus Energy-Integrating Dual-Energy Computed Tomography: Virtual Noncontrast Image Quality Comparison. J. Comput. Assist. Tomogr. (IF 1.3) Pub Date : 2023-11-17 Bari Dane, Andrew Ruff, Thomas O'Donnell, Alexander El-Ali, Luke Ginocchio, Vinay Prabhu, Alec Megibow
This study aimed to compare the image quality of portal venous phase-derived virtual noncontrast (VNC) images from photon-counting computed tomography (PCCT) with energy-integrating dual-energy computed tomography (EI-DECT) in the same patient using quantitative and qualitative analyses.
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The Relationship Between Conventionally Obtained Serum-Based Liver Function Indices and Intravoxel Incoherent Motion Diffusion-Weighted Imaging and Magnetic Resonance Elastography in Patients With Hepatocellular Carcinoma. J. Comput. Assist. Tomogr. (IF 1.3) Pub Date : 2023-11-14 Ryo Yamakuni, Hironobu Ishikawa, Shiro Ishii, Takeyasu Kakamu, Junko Hara, Shigeyasu Sugawara, Hirofumi Sekino, Shinya Seino, Kenji Fukushima, Hiroshi Ito
To investigate the relationship between conventionally obtained serum-based biochemical indices and intravoxel incoherent motion imaging (IVIM) parameters compared with magnetic resonance elastography (MRE).
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Diagnostic Approaches to Neuroendocrine Neoplasms of Unknown Primary Site. J. Comput. Assist. Tomogr. (IF 1.3) Pub Date : 2023-11-13 Taher Daoud,Ajaykumar C Morani,Rebecca Waters,Priya Bhosale,Mayur K Virarkar
Neuroendocrine tumors (NETs) are relatively uncommon heterogeneous neoplasms arising from endocrine and neuronal origin cells showing highly variable clinical behavior. By the time these tumors are discovered, up to 14% of patients with histologically proven NETs have metastasis, with the liver as the most frequently affected organ. Sometimes, no known primary site can be identified via routine imaging
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Pericarotid Fat Stranding at Computed Tomography Angiography: A Marker of the Short-Term Prognosis of Acute Ischemic Stroke. J. Comput. Assist. Tomogr. (IF 1.3) Pub Date : 2023-11-13 Ying Liu,Yinan Zhao,Zhongping Guo,Mengshuang Li,Hangsheng Shan,Yonggang Zhang,Chongchang Miao,Yan Gu
PURPOSE Perivascular epicardial fat stranding detected in the coronary computed tomography (CT) angiography is associated with culprit lesions and provides helpful information on the risk of acute coronary syndrome. This study aimed to evaluate the potential clinical significance of pericarotid fat stranding (PCFS) and investigate the association between PCFS and short-term prognosis in acute stroke
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Olfactory Bulb Volume and Morphology Changes in COVID-19 Patients With Olfactory Disorders Using Magnetic Resonance Imaging. J. Comput. Assist. Tomogr. (IF 1.3) Pub Date : 2023-11-13 Ayşe Eda Parlak,Ömer Tarik Selçuk,Gamze Öztürk Yılmaz,Doğukan Aydenizoz,Nursel Türkoğlu Selçuk,Ruhsen Öcal,Derya Seyman,Muhammet Yılmaz,Hülya Eyigör
OBJECTIVES The aims of the study are to explore the morphological changes of olfactory bulb (OB) and olfactory sulcus in COVID-19 patients with associated olfactory dysfunction (OD) by measuring the OB volume (OBV) and olfactory sulcus depth (OSD) and to compare the measurement values with those of healthy individuals. METHODS Between March 2020 and January 2022, 31 consecutive hospitalized patients
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Alterations and Significance of Computed Tomography Pulmonary Angiography-Derived Parameters in Older Patients With Acute Pulmonary Embolism. J. Comput. Assist. Tomogr. (IF 1.3) Pub Date : 2023-10-30 Yuli Zeng, Peng Liu, An Xie, Yilei Che, Xi Yi, Si Liu, Wenjie Sun, Jianbin Liu, Guiliang Wang
This study aimed to investigate changes of computed tomography pulmonary angiography (CTPA)-derived parameters in older adults with acute pulmonary embolism (APE).
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Comparison of the Utility of PI-RADS 2.1, ADC Values, and Combined Use of Both, for the Diagnosis of Transition Zone Prostate Cancers. J. Comput. Assist. Tomogr. (IF 1.3) Pub Date : 2023-10-17 Xinghua Liu, Qiuxia Xiong, Wenbing Zeng, Ran Yang, Yun Wen, Xiang Li
To assess the performance of apparent diffusion coefficient (ADC; values or category) alone, Prostate Imaging Reporting and Data System version 2.1 (PI-RADS v2.1) scoring alone, and the two in combination, to diagnose transition zone prostate cancers (PCas).
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Imaging Update for Hereditary Abdominopelvic Neuroendocrine Neoplasms. J. Comput. Assist. Tomogr. (IF 1.3) Pub Date : 2023-10-13 Hanna R Ferreira Dalla Pria, Kedar G Sharbidre, Mayur Virarkar, Sanaz Javadi, Hrishabh Bhosale, Jessica Maxwell, Chandana Lall, Ajaykumar C Morani
Neuroendocrine neoplasms have shown a linear increase in incidence and prevalence in recent decades, primarily due to improved cross-sectional imaging, expanded use of endoscopic procedures, and advanced genetic analysis. However, diagnosis of hereditary neuroendocrine tumors is still challenging because of heterogeneity in their presentation, the variety of tumor locations, and multiple associated
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Impact of the COVID-19 Pandemic on Lung Cancer Screening Processes in a Northeast Tertiary Health Care Network. J. Comput. Assist. Tomogr. (IF 1.3) Pub Date : 2023-10-12 Brooks V Udelsman, Frank Detterbeck, Lynn Tanoue, Vincent Mase, Daniel Boffa, Justin Blasberg, Andrew Dhanasopon, Sora Ely, Louis J Mazzarelli, Anna Bader, Gavitt Woodard
The coronavirus disease 2019 (COVID-19) pandemic disrupted health care systems, including implementation of lung cancer screening programs. The impact and recovery from this disruption on screening processes is not well appreciated. Herein, the radiology database of a Northeast tertiary health care network was reviewed before and during the pandemic (2013-2022). In the 3 months before the pandemic
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Photon-Counting Detector Computed Tomography Versus Energy-Integrating Detector Computed Tomography for Coronary Artery Calcium Quantitation. J. Comput. Assist. Tomogr. (IF 1.3) Pub Date : 2023-10-06 Cynthia H McCollough, Tim N Winfree, Elnata F Melka, Kishore Rajendran, Rickey E Carter, Shuai Leng
Photon-counting detector (PCD) computed tomography (CT) offers improved spatial and contrast resolution, which can impact quantitative measurements. This work aims to determine in human subjects the effect of dual-source PCD-CT on the quantitation of coronary artery calcification (CAC) compared with dual-source energy-integrating detector (EID) CT in both 1- and 3-mm images.
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Borrmann Type IV Gastric Cancer: Computed Tomography Features and Corresponding Pathological Findings. J. Comput. Assist. Tomogr. (IF 1.3) Pub Date : 2023-10-03 Changfeng Ji, Yi Ma, Zhong Zheng, Song Liu, Zhengyang Zhou
We aimed to analyze the association between computed tomography (CT) features and the corresponding pathological findings in Borrmann type IV (BT-4) gastric cancers and explore the pathological basis of the characteristic CT features.
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A Novel Interpretable Radiomics Model to Distinguish Nodular Goiter From Malignant Thyroid Nodules. J. Comput. Assist. Tomogr. (IF 1.3) Pub Date : 2023-09-27 Hao Zhang, Yun-Feng Yang, Chao Yang, Yuan-Yuan Yang, Xin-Hong He, Chao Chen, Xue-Lin Song, Lei-Lei Ying, Ying Wang, Li-Chao Xu, Wen-Tao Li
The purpose of this study is to inquire about the potential association between radiomics features and the pathological nature of thyroid nodules (TNs), and to propose an interpretable radiomics-based model for predicting the risk of malignant TN.
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Potential Approach to Quantifying the Volume of the Ischemic Core in Truncated Computed Tomography Perfusion Scans: A Preliminary Study. J. Comput. Assist. Tomogr. (IF 1.3) Pub Date : 2023-09-27 Xiao-Quan Xu, Lin-Li Cao, Gao Ma, Guang-Chen Shen, Shan-Shan Lu, Ya-Xi Zhang, Yu Zhang, Hai-Bin Shi, Sheng Liu, Fei-Yun Wu
This study aimed to provide an alternative approach for quantifying the volume of the ischemic core (IC) if truncation of computed tomography perfusion (CTP) occurs in clinical practice.
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Functional Brain Network Alterations in Patients With Systemic Lupus Erythematosus With Different Cognitive Function States: A Graph Theory Analysis Study. J. Comput. Assist. Tomogr. (IF 1.3) Pub Date : 2023-09-19 Xiaolu Li, Jianguo Xia, Jianfeng Hu, Qingyu Chen, Yuan Li, Ming Yin, Hongmei Zou, Wensu Zhou, Peng Zhang
The study aimed to investigate the characteristics of brain functional network disruption in patients with systemic lupus erythematosus (SLE) with different cognitive function states by using graph theory analysis and to explore their relationship with clinical data and neuropsychiatric scales.
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Radiologists' Rating for Comparative Qualitative Assessment of Intravoxel Incoherent Motion Using Novel Analysis Methods. J. Comput. Assist. Tomogr. (IF 1.3) Pub Date : 2023-09-04 Esha Baidya Kayal, Devasenathipathy Kandasamy, Richa Yadav, Kedar Khare, Sameer Bakhshi, Raju Sharma, Amit Mehndiratta
The objective was to assess qualitative interpretability and quantitative precision and reproducibility of intravoxel incoherent motion (IVIM) parametric images evaluated using novel IVIM analysis methods for diagnostic accuracy.
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Artificial Intelligence Iterative Reconstruction in Computed Tomography Angiography: An Evaluation on Pulmonary Arteries and Aorta With Routine Dose Settings. J. Comput. Assist. Tomogr. (IF 1.3) Pub Date : 2023-09-01 Huan Gong, Liying Peng, Xiangdong Du, Jiajia An, Rui Peng, Rui Guo, Xu Ma, Sining Xiong, Qin Ma, Guozhi Zhang, Jing Ma
The objective of this study is to investigate whether a newly introduced deep learning-based iterative reconstruction algorithm, namely, the artificial intelligence iterative reconstruction (AIIR), has a clinical value in computed tomography angiography (CTA), especially for visualizing vascular structures and related lesions, with routine dose settings.
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Dynamic Susceptibility Contrast-Enhanced Perfusion-Weighted Imaging in Differentiation Between Recurrence and Pseudoprogression in High-Grade Glioma: A Meta-analysis. J. Comput. Assist. Tomogr. (IF 1.3) Pub Date : 2023-09-01 Xindong Gu, Xining He, Hualong Wang, Jianhua Li, Ruwei Chen, Hongen Liu
In glioma patients that have undergone surgical tumor resection, the ability to reliably distinguish between pseudoprogression (PsP) and a recurrent tumor (RT) is of key clinical importance. Accordingly, this meta-analysis evaluated the utility of dynamic susceptibility contrast-enhanced perfusion-weighted imaging as a means of distinguishing between PsP and RT when analyzing patients with high-grade
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Fast Quantitative Magnetic Resonance Imaging Evaluation of Hydrocephalus Using 3-Dimensional Fluid-Attenuated Inversion Recovery: Initial Experience. J. Comput. Assist. Tomogr. (IF 1.3) Pub Date : 2023-08-24 Hyun Woo Goo, Sang Hyub Park
This study aimed to demonstrate the initial experience of using fast quantitative magnetic resonance imaging (MRI) to evaluate hydrocephalus.
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Deep Learning Image Reconstruction Algorithm for CCTA: Image Quality Assessment and Clinical Application. J. Comput. Assist. Tomogr. (IF 1.3) Pub Date : 2023-08-24 Federica Catapano, Costanza Lisi, Giovanni Savini, Marzia Olivieri, Stefano Figliozzi, Alessandra Caracciolo, Lorenzo Monti, Marco Francone
The increasing number of coronary computed tomography angiography (CCTA) requests raised concerns about dose exposure. New dose reduction strategies based on artificial intelligence have been proposed to overcome limitations of iterative reconstruction (IR) algorithms. Our prospective study sought to explore the added value of deep-learning image reconstruction (DLIR) in comparison with a hybrid IR
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The Feasibility of Deep Learning-Based Reconstruction for Low-Tube-Voltage CT Angiography for Transcatheter Aortic Valve Implantation. J. Comput. Assist. Tomogr. (IF 1.3) Pub Date : 2023-08-11 Tsukasa Kojima,Yuzo Yamasaki,Yuko Matsuura,Ryoji Mikayama,Takashi Shirasaka,Masatoshi Kondo,Takeshi Kamitani,Toyoyuki Kato,Kousei Ishigami,Hidetake Yabuuchi
OBJECTIVE The purpose of this study is to evaluate the efficacy of deep learning reconstruction (DLR) on low-tube-voltage computed tomographic angiography (CTA) for transcatheter aortic valve implantation (TAVI). METHODS We enrolled 30 patients who underwent TAVI-CT on a 320-row CT scanner. Electrocardiogram-gated coronary CTA (CCTA) was performed at 100 kV, followed by nongated aortoiliac CTA at 80
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Appendiceal Neuroendocrine Neoplasms: A Comprehensive Review. J. Comput. Assist. Tomogr. (IF 1.3) Pub Date : 2023-08-11 Renjith Padmanabhan Nair Sobha,Corey T Jensen,Rebecca Waters,Luis Fernando Calimano-Ramirez,Mayur K Virarkar
Appendiceal neuroendocrine neoplasm (NEN) is the most common adult appendiceal malignant tumor, constituting 16% of gastrointestinal NENs. They are versatile tumors with varying morphology, immunohistochemistry, secretory properties, and cancer genomics. They are slow growing and clinically silent, to begin with, or present with features of nonspecific vague abdominal pain. Most acute presentations
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Technical Note: Assessment of Pulse Pileup on Single-Energy and Multienergy Images From a Clinical Photon-Counting Detector Computed Tomography. J. Comput. Assist. Tomogr. (IF 1.3) Pub Date : 2023-08-11 Joshua Ray Chen,Timothy N Winfree,Michael R Bruesewitz,Joseph R Swicklik,Jamison E Thorne,Shuai Leng,Cynthia H McCollough
OBJECTIVE Pulse pileup effects occur when pulses occur so close together that they fall on top of one another, resulting in count loss and errors in energy thresholding. To date, there has been little work systematically detailing the quantitative effects of pulse pileup on material decomposition accuracy for photon-counting detector (PCD) computed tomography (CT). Our aim in this work was to quantify
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Quantification of Hepatic Steatosis on Dual-Energy CT in Comparison With MRI mDIXON-Quant Sequence in Breast Cancer. J. Comput. Assist. Tomogr. (IF 1.3) Pub Date : 2023-08-09 Xiaoxia Wang,Xianjun Pan,Wenqi Zhou,Zhouhong Jing,Feng Yu,Yali Wang,Junjie Zeng,Jiaxing Wu,Xiaohua Zeng,Jiuquan Zhang
OBJECTIVE The study aimed to evaluate the correlation and diagnostic value of liver fat quantification in unenhanced dual-energy CT (DECT) using quantitative magnetic resonance imaging (MRI) mDIXON-Quant sequence as reference standard in patients with breast cancer. METHODS Patients with breast cancer were prospectively recruited between June 2018 and April 2020. Each patient underwent liver DECT and
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Comparison of Diatrizoate and Iohexol for Patient Acceptance and Fecal-Tagging Performance in Noncathartic CT Colonography. J. Comput. Assist. Tomogr. (IF 1.3) Pub Date : 2023-08-09 Yanshan Chen,Lijuan Feng,Zixuan Huang,Wenbin Zou,Guibo Luo,Guochao Dai,Weidong Zhao,Wenli Cai,Mingyue Luo
OBJECTIVE The aim of this study was to compare diatrizoate and iohexol regarding patient acceptance and fecal-tagging performance in noncathartic computed tomography colonography. METHODS This study enrolled 284 volunteers with fecal tagging by either diatrizoate or iohexol at an iodine concentration of 13.33 mg/mL and an iodine load of 24 g. Patient acceptance was rated on a 4-point scale of gastrointestinal
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Patient Positioning Assistive Technology Applicable to the Existing Computed Tomography System: Estimation by Pixel Value of Scout Image. J. Comput. Assist. Tomogr. (IF 1.3) Pub Date : 2023-08-09 Atsushi Urikura,Yosuke Miyauchi,Tsukasa Yoshida,Yuya Ishita,Keisuke Takiguchi,Takeshi Aramaki
This study aimed to propose a patient positioning assistive technique using computed tomography (CT) scout images. A total of 210 patients who underwent CT scans in a single center, including on the upper abdomen, were divided into a study set of 127 patients for regression and 83 patients for verification. Linear regression analysis was performed to determine the R2 coefficient and the linear equation