Journals Journal of Computer Assisted T...

Journal of Computer Assisted Tomography
Jiuming Jiang, Lei Miao, Li Zhang, Zhuo Shi, Huanhuan Zhang, Xin Wen, Sijie Hu, Libin Xu, Lihua Gong, Meng Li
OBJECTIVE: Conventional imaging protocols, including sagittal T1-weighted imaging (T1WI) and water-only T2-weighted imaging (T2WI), are time consuming when screening for spinal metastases with vertebral compression fractures (VCFs). In this study, we aimed to assess the accuracy of using only the Dixon T2-weighted sequence in the diagnosis of spinal metastases with VCFs to determine its suitability as a simplified protocol for this task. METHODS: This retrospective study included 27 patients diagnosed with spinal metastases and VCFs...
April 10, 2024: Journal of Computer Assisted Tomography
Negaur Iranpour, Aatur Singhi, Kevan Jonathan Salimian, Javad R Azadi, Adam Slivka, Ka-Kei Ngan, Kevin McGrath, Kenneth Fasanella, Amer Zureikat, Alessandro Paniccia, Atif Zaheer, Anil K Dasyam
PURPOSE: Pancreatic intraductal oncocytic papillary neoplasms (IOPN) are rare precursors to pancreatic ductal adenocarcinoma. We report cross-sectional computed tomography and magnetic resonance imaging (where available) findings of pancreatic IOPNs. MATERIALS AND METHODS: Consecutive cases of pancreatic IOPNs identified on pathology between 2008 and 2020 at University of Pittsburgh and Johns Hopkins University were included in the study. Cross-sectional imaging of all patients was reviewed by two subspecialty trained abdominal radiologists...
April 9, 2024: Journal of Computer Assisted Tomography
Zhen-Ning Zhu, Qiu-Xia Feng, Qiong Li, Wei-Yue Xu, Xi-Sheng Liu
OBJECTIVE: The purpose of this study is to identify the presence of occult peritoneal metastasis (OPM) in patients with advanced gastric cancer (AGC) by using clinical characteristics and abdominopelvic computed tomography (CT) features. METHODS: This retrospective study included 66 patients with OPM and 111 patients without peritoneal metastasis (non-PM [NPM]) who underwent preoperative contrast-enhanced CT between January 2020 and December 2021. Occult PMs means PMs that are missed by CT but later diagnosed by laparoscopy or laparotomy...
April 9, 2024: Journal of Computer Assisted Tomography
Shyam Sunder B Venkatakrishna, Hansel J Otero, Dmitry Khrichenko, Suraj D Serai
PURPOSE: Accurate quantification of liver iron concentration (LIC) can be achieved via magnetic resonance imaging (MRI). Maps of liver T2*/R2* are provided by commercially available, vendor-provided, 3-dimensional (3D) multiecho Dixon sequences and allow automated, inline postprocessing, which removes the need for manual curve fitting associated with conventional 2-dimensional (2D) gradient echo (GRE)-based postprocessing. The main goal of our study was to investigate the relationship among LIC estimates generated by 3D multiecho Dixon sequence to values generated by 2D GRE-based R2* relaxometry as the reference standard...
April 9, 2024: Journal of Computer Assisted Tomography
William A Mehan, Donghoon Shin, Karen Buch
PURPOSE: Recent publications have suggested incorporating coronal diffusion-weighted imaging (DWI) sequences and axial DWI sequences to enhance the detection of posterior fossa infarcts (PFIs). This study evaluated the utility of coronal DWIs compared with axial DWIs for assessing PFIs in the emergency department (ED). METHODS: A retrospective, institutional review board-approved study was conducted at a level I stroke center, including 118 patients who presented to the ED between 2016 and 2023 with suspected PFI...
April 8, 2024: Journal of Computer Assisted Tomography
Takanori Masuda, Takeshi Nakaura, Toru Higaki, Yoshinori Funama, Yoriaki Matsumoto, Tomoyasu Sato, Tomokazu Okimoto, Keiko Arao, Hiromasa Imaizumi, Shinichi Arao, Atsushi Ono, Junichi Hiratsuka, Kazuo Awai
OBJECTIVES: This study assessed whether patient-specific contrast enhancement optimizer simulation software (p-COP) can reduce the contrast material (CM) dose compared with the conventional body weight (BW)-tailored scan protocol during transcatheter aortic valve implantation-computed tomography angiography (TAVI-CTA) in patients with aortic stenosis. METHODS: We used the CM injection protocol selected by the p-COP in group A (n = 30). p-COP uses an algorithm that concerns data on an individual patient's cardiac output...
April 8, 2024: Journal of Computer Assisted Tomography
Valentina Ambrosini, Emilia Fortunati, Stefano Fanti, Stephan Ursprung, Luigi Asmundo, Aileen O'Shea, Bashar Kako, Susanna Lee, Felipe S Furtado, Michael Blake, Reece J Goiffon, Zahra Najmi, Mina Hesami, Takaaki Murakami, Liran Domachevsky, Onofrio A Catalano
Neuroendocrine neoplasms (NENs) may be challenging to diagnose due to their small size and diverse anatomical locations. Hybrid imaging techniques, specifically positron emission tomography/computed tomography (PET/CT) and positron emission tomography/magnetic resonance imaging (PET/MRI), represent the current state-of-the-art for evaluating NENs. The preferred radiopharmaceuticals for NEN PET imaging are gallium-68 (68Ga) DOTA-peptides, which target somatostatin receptors (SSTR) overexpressed on NEN cells...
March 25, 2024: Journal of Computer Assisted Tomography
Andrea Magnini, Chiara Lorini, Linda Calistri, Francesca Calcagni, Federico Giuntoli, Prassede Foxi, Cosimo Nardi, Stefano Colagrande
PURPOSE: Rapid on-site-evaluation (ROSE) is a technique aimed at improving the diagnostic performance of computed tomography (CT)-guided core needle biopsy (CNB) in lung cancer. The aim of this retrospective study was to investigate the impact of ROSE on the rate of nondiagnostic specimens and on accuracy computed on diagnostic specimens. MATERIALS AND METHODS: During a 3-year period, 417 CT-guided CNBs were performed at our center. The biopsies were retrospectively classified into 2 groups: 141 procedures were assisted by ROSE and 276 were not...
March 22, 2024: Journal of Computer Assisted Tomography
Yue Hu, Yikang Geng, Huan Wang, Huanhuan Chen, Zekun Wang, Langyuan Fu, Bo Huang, Wenyan Jiang
OBJECTIVES: This study aimed to investigate radiomics based on primary nonsmall-cell lung cancer (NSCLC) and distant metastases to predict epidermal growth factor receptor (EGFR) mutation status. METHODS: A total of 290 patients (mean age, 58.21 ± 9.28) diagnosed with brain (BM, n = 150) or spinal bone metastasis (SM, n = 140) from primary NSCLC were enrolled as a primary cohort. An external validation cohort, consisting of 69 patients (mean age, 59.87 ± 7...
March 18, 2024: Journal of Computer Assisted Tomography
Jia-Chang Liu, Jun Sheng, Song Xue, Ming Fang, Juan Huang, Zhong-Zhong Chen, Rui-Kai Wang, Mei Han
OBJECTIVES: The present study aims to explore the application value of the air bronchogram (AB) sign and other computed tomography (CT) signs in the early diagnosis of lung adenocarcinoma (LUAD). METHOD: The pathological information and CT images of 130 patients diagnosed with N0 and M0 solitary pulmonary nodules (diameter ≤3 cm) and treated with surgical resection in our hospital between June 2021 and June 2022 were analyzed. RESULTS: The patients were divided into the benign pulmonary nodule (BPN) group (14 cases), the AIS group (30 cases), the MIA group (10 cases), and the IAC group (76 cases)...
March 7, 2024: Journal of Computer Assisted Tomography
Nir Stanietzky, Ajaykumar Morani, Venkateswar Surabhi, Corey Jensen, Natally Horvat, Raghu Vikram
Mucinous rectal cancer (MRC) is defined by the World Health Organization as an adenocarcinoma with greater than 50% mucin content. Classic teaching suggests that it carries a poorer prognosis than conventional rectal adenocarcinoma. This poorer prognosis is thought to be related to mucin dissecting through tissue planes at a higher rate, thus increasing the stage of disease at presentation. Developments in immunotherapy have bridged much of this prognostic gap in recent years. Magnetic resonance imaging is the leading modality in assessing the locoregional spread of rectal cancer...
March 7, 2024: Journal of Computer Assisted Tomography
Jianjie Li, Li Cai, Li Zhao, Junling Liu, Fang Lan, Yuan Li, Heng Liu, Xue Li
OBJECTIVES: To evaluate current policies and practices regarding preparative fasting before contrast-enhanced computed tomography (CECT) and the knowledge and attitudes of radiology head nurses. METHODS: Radiology head nurses in 499 Chinese hospitals participated in an online survey on preparative fasting for CECT, which mainly included current departmental policies and practices and their knowledge and attitudes. RESULTS: Response rate was 89...
March 4, 2024: Journal of Computer Assisted Tomography
Stephan Ursprung, Lisa Zhang, Luigi Asmundo, Mina Hesami, Zhara Najmi, Lina Garcia CaƱamaque, 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 of the new classification system, discuss how it impacts imaging research and radiological practice, and illustrate typical and atypical imaging and pathological findings...
February 27, 2024: Journal of Computer Assisted Tomography
Shuyan Li, Jiayi Xie, Jinghua Liu, Yanjun Wu, Zhongxiao Wang, Zhendong Cao, Dong Wen, Xiaolei Zhang, Bingzhen Wang, Yifan Yang, Lijun Lu, Xianling Dong
OBJECTIVE: 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. METHODS: Two hundred twenty cases from The Cancer Imaging Archive public dataset were included in this study; 2212 radiomics features and 304 deep features were extracted from each case...
February 27, 2024: Journal of Computer Assisted Tomography
Suzanne C Byrne, Caroline Peers, Mary Louise Gargan, Ronilda Lacson, Ramin Khorasani, Mark M Hammer
BACKGROUND: The risk of malignancy in pulmonary nodules incidentally detected on computed tomography (CT) in patients who are aged younger than 35 years is unclear. OBJECTIVE: The aim of this study was to evaluate the incidence of lung cancer in incidental pulmonary nodules in patients who are 15-34 years old. METHODS: This retrospective study included patients aged 15-34 years who had an incidental pulmonary nodule on chest CT from 2010 to 2018 at our hospital...
February 27, 2024: Journal of Computer Assisted Tomography
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 differentiation, grading, and risk of grade transformation over time, accurate diagnosis and management of neuroendocrine liver lesions are both important and challenging...
February 27, 2024: Journal of Computer Assisted Tomography
Shota Ichikawa, Hiroyuki Sugimori
OBJECTIVE: 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. METHODS: A total of 862 patients from a public database of whole-body positron emission tomography/CT studies were retrospectively analyzed. Two methods for estimating body weight at 10 single-slice CT levels were evaluated: a linear regression model using total cross-sectional body area and a deep learning-based model...
February 27, 2024: Journal of Computer Assisted Tomography
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
OBJECTIVES: 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. METHODS: Publications between January 2005 and October 2022 were considered for inclusion. Databases such as Pubmed/Medline, Scopus, Embase, and Google Scholar were searched for relevant studies. The quality of the methodology of the manuscripts was determined using the Radiomics Quality Score and Quality Assessment of Diagnostic Accuracy Studies 2...
March 2024: Journal of Computer Assisted Tomography
Xindong Gu, Xining He, Hualong Wang, Jianhua Li, Ruwei Chen, Hongen Liu
INTRODUCTION: 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 glioma. MATERIALS AND METHODS: The PubMed, Web of Science, and Wanfang databases were searched for relevant studies...
March 2024: Journal of Computer Assisted Tomography
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
OBJECTIVE: 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. METHODS: This prospective study enrolled 20 patients who underwent head MRI at 3 T, including TOF-MRA. We used 3D wheel sampling called "fast 3D" and DLR for HR-TOF-MRA (spatial resolution, 0.39 × 0.59 × 0.5 mm3) in addition to conventional MRA (spatial resolution, 0...
February 12, 2024: Journal of Computer Assisted Tomography
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