COVID-19, A New Possible Mimicker of Interstitial Lung Disease Related to Primary Sjögren’s Syndrome by Alessia Laneri, Stefania Cerri, Giovanni Della Casa, Antonio Moretti, Andreina Manfredi, Marco Sebastiani, Enrico Clini, Carlo Salvarani

“…A multidisciplinary discussion including rheumatologist, pulmonologist, and thoracic radiologist did not allow a definitive differential diagnosis between COVID-19 persisting abnormalities and a previous or new-onset pSS-ILD. …”
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Image quality, contrast enhancement and radiation dose of electrocardiograph- versus non-electrocardiograph-triggered computed tomography angiography of the aorta by Ying Mei Wong, Ching Ching Ong, Chong Ri Liang, Choon Ann Tan, Lynette Li San Teo

“…This allows the requesting clinician and the radiologist to balance radiation risk and image quality. …”
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A Study of a New Technique of the CT Scan View and Disease Classification Protocol Based on Level Challenges in Cases of Coronavirus Disease by Ahmed B. Salem Salamh, Abdulrauf A. Salamah, Halil Ibrahim Akyüz

“…These results could reduce the radiologist’s workload burden and play a major role in the decision-making process.…”
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Haralick Texture Analysis for Differentiating Suspicious Prostate Lesions from Normal Tissue in Low-Field MRI by Dang Bich Thuy Le, Ram Narayanan, Meredith Sadinski, Aleksandar Nacev, Yuling Yan, Srirama S. Venkataraman

“…Before transperineal biopsy guided by low-field (58–74mT) MRI, a radiologist annotated suspicious regions of interest (ROIs) on high-field (3T) MRI. …”
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Diagnostic Accuracy Of Spectral Doppler Ultrasound In Diagnosis Of Malignant Breast Lesions Taking Histopathology As Gold Standard by Mehwish Tabassum, Rabia Waseem, Manal Niazi, Zainab Riaz, Hamna Shakil, Wajeeha Anam

“…The findings were interpreted by a consultant radiologist for the presence or absence of malignant breast lesions. …”
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Comparison of Lung-RADS Version 2022 and British Thoracic Society Guidelines in Classifying Solid Pulmonary Nodules Detected at Lung Cancer Screening CT by Claudiu Avram, Alexandru Ovidiu Mederle, Adelina Mavrea, Paula Irina Barata, Raul Patrascu

“…A fellowship-trained thoracic radiologist reviewed the CT images, characterizing nodules by size, location, margins, attenuation, calcification, growth at follow-up, and final pathologic diagnosis if malignant. …”
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Accidental findings of maxillary sinuses in dental patients on CBCT images. A retrospective study by Fedil Andraws Yalda

“…The findings of the present study recommend a thorough interpretation of the whole volume CBCT scans, by an oral radiologist, to ensure a proper diagnosis as it might have an impact on the patient’s medical status and advice the referred practitioner about the findings which may affect the treatment plan accord[1]ingly. …”
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Pulmonary Arteriovenous Malformations (PAVMs) and Pregnancy: A Rare Case of Hemothorax and Review of the Literature by Federica Di Guardo, Viviana Lo Presti, Giuliana Costanzo, Elisa Zambrotta, Luisa Maria Di Gregorio, Antonio Basile, Marco Palumbo

“…Recent studies reported the safeness of the TCE during pregnancy if performed by an experienced radiologist, at second or third trimesters when radiation exposure is believed to have minimal effect on the foetus. …”
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Cone-Beam Computed Tomography Assessment of Quality of Endodontic Treatment and Prevalence of Procedural Errors in Mandibular Molars by Ahmad Nouroloyouni, Amin Salem Milani, Ata Etminan, Sara Noorolouny, Elham Tavakkol, Hesam Mikaieli Xiavi, Nazila Ghoreishi Amin

“…Mandibular molars were evaluated on sagittal, coronal, and axial sections regarding obturation length, obturation density (voids), missed canals, broken instruments, apical perforation, strip perforation, ledge formation, transportation, root fracture, root resorption, and periapical lesions by a senior dental student under the supervision of an oral and maxillofacial radiologist and an endodontist. Differences between the frequency of procedural errors and tooth type and gender were analyzed by the chi-square test. …”
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Comparison of Morphological and Functional MRI Assessments of Periprostatic Fat for Predicting Prostate Cancer Aggressiveness by David Freire Maia Vieira, Cecília Vidal de Souza Torres, André de Freitas Secaf, Matheus de Moraes Palma, Gabriel de Lion Gouvea, Jorge Elias Júnior, Rodolfo Borges Reis, Valdair Muglia

“…MRI-derived parameters were assessed by an experienced radiologist, who measured subcutaneous and periprostatic fat thickness, and calculated ADC values from ROI plots in periprostatic fat. …”
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Detection of other pathologies when utilising computer-assisted digital solutions for TB screening by J. Sebastian, I.D. Olaru, A. Giannakis, M. Arentz, S.V. Kik, M. Ruhwald, S. Linsen, G. Günther, P. Wolf, F.J. Herth, T. Weber, C.M. Denkinger

“…BACKGROUND: Computer-aided detection (CAD) tools for TB detection have the potential to enable screening programmes and reduce the diagnostic gap in settings where access to radiologists is limited. However, there are concerns that other common chest X-ray (CXR) abnormalities not due to TB may be missed. …”
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Acceptability of artificial intelligence in breast screening: focus groups with the screening-eligible population in England by Jo Waller, Rumana Newlands, Lauren Gatting, Angie A Kehagia, Syeda Ahmed, Priscilla Meccheri

“…Introduction Preliminary studies of artificial intelligence (AI) tools developed to support breast screening demonstrate the potential to reduce radiologist burden and improve cancer detection which could lead to improved breast cancer outcomes. …”
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CLINTERVENTIONAL protocol: a randomized controlled trial to evaluate clinical consultations and audiovisual tools for interventional radiology by Pedro Blas García Jurado, Juan José Espejo Herrero, María Sagrario Lombardo Galera, María Eugenia Pérez Montilla, Sara Barranco Acosta, José García-Revillo, Pilar Font Ugalde, Marina Álvarez Benito

“…Abstract Interventional radiology (IR) has evolved rapidly, but the clinical integration of interventional radiologists has not kept pace with technical advancements. …”
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Clinical Outcome of Arthroscopic Management of Mucoid Degeneration of Anterior Cruciate Ligament by Madan Mohan Ballal, K. J. C. Chidanand, Vijendra Yadav, Akshay Dhanda, Chetan Nagaraja, Sachin K. Gowda

“…MRI showing an increased signal of the ACL in T1-and T2-weighted images was reported as mucoid degeneration of the ACL by the radiologist. Upon arthroscopy, the ACL had a homogenous, bulbous, hypertrophied, and taut appearance occupying most of the intercondylar notch space. …”
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Development of a deep learning method to identify acute ischaemic stroke lesions on brain CT by Emanuele Trucco, Joanna M Wardlaw, Wenwen Li, Grant Mair, Amos Storkey, Alessandro Fontanella, Antreas Antoniou, Eleanor Platt, Paul Armitage

“…Background CT is commonly used to image patients with ischaemic stroke but radiologist interpretation may be delayed. Machine learning techniques can provide rapid automated CT assessment but are usually developed from annotated images which necessarily limits the size and representation of development data sets. …”
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Improved Consistency of Lung Nodule Categorization in CT Scans with Heterogeneous Slice Thickness by Deep Learning-Based 3D Super-Resolution by Dongok Kim, Jae Hyung Park, Chang Hyun Lee, Young-Ju Kim, Jong Hyo Kim

“…We evaluated the performance in a qualitative way by radiologist’s perceptual assessment as well as in a quantitative way by accuracy of nodule volume measurements and agreement of volume-based Lung-RADS nodule category. …”
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ANALYSIS OF MAXILLARY FRACTURE PATIENTS PROFILE IN A TERTIARY GENERAL HOSPITAL (2018-2020) by I Dewa Gde Daniswara Suarta, Agus Santoso Budi, Rosy Setiawati, Magda Rosalina Hutagalung

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Clinical Outcome Discrimination in Pediatric ARDS by Chest Radiograph Severity Scoring by Yu-Chun Yan, Wen-Han Hao, Feng-Sen Bai, Shuang Liu, Dong Qu, Xin-Yu Yuan

“…CXR RALE score can be used in PARDS for discriminating the prognosis and has a better agreement among radiologist and pediatrician. PARDS with pulmonary complications, day 3 score whether greater than 21 points, have a better predictive effectiveness.…”
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A Deep Learning Enabled Chest X-Ray Abnormality Detection Model for Radiology Assistance. by Ssempeebwa, Phillip, Ainembabazi, Patience

“…Interpreting chest X-ray images is a challenging task for radiologists due to the complexity of identifying abnormalities accurately. …”
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Impact of 68Ga-FAPI positron emission tomography/computed tomography on staging and tumor management in patients with gastric cancer by Shunyu Zhang, Minggang Su, Qianrui Li, Qiancheng Hu, Xijiao Liu, Xiaolong Chen, Hongfeng Gou

“…Two nuclear medicine physicians and a radiologist independently decided on imaging-based staging. …”
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