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Prediction of Ki-67 expression in gastric gastrointestinal stromal tumors using histogram analysis of monochromatic and iodine images derived from spectral CT.
Cancer Imaging
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Department of Radiology, Lanzhou University Second Hospital, Cuiyingmen No.82, Chengguan District, Lanzhou, 730030, People's Republic of China.
Purpose: To assess and compare the diagnostic efficiency of histogram analysis of monochromatic and iodine images derived from spectral CT in predicting Ki-67 expression in gastric gastrointestinal stromal tumors (gGIST).
Methods: Sixty-five patients with gGIST who underwent spectral CT were divided into a low-level Ki-67 expression group (LEG, Ki-67 < 10%, n = 33) and a high-level Ki-67 expression group (HEG, Ki-67 ≥ 10%, n = 32). Conventional CT features were extracted and compared.
Metataxonomics study of dental bioaerosols affected by waterline disinfection.
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Center of Excellence on Oral Microbiology and Immunology, Department of Microbiology, Faculty of Dentistry, Chulalongkorn University, Henri Dunant Rd, Bangkok, 10330, Thailand.
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Biomimetic Catalysis, Catalysis Research Center, TUM School of Natural Sciences, Technical University of Munich, Lichtenbergstrasse 4, 85748 Garching, Germany.
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Department of Radiology, Washington University School of Medicine, St. Louis, MO 63110, United States. Electronic address:
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Department of Radiology and Nuclear Medicine, Tuen Mun Hospital, 23 Tsing Chung Koon Road, Tuen Mun, N.T, Hong Kong; Department of Radiology, Pok Oi Hospital, Au Tau, Yuen Long, N.T., Hong Kong.
Contrast-enhanced mammography (CEM) is an advanced emerging imaging technique that uses iodine contrast medium to improve breast cancer detection. Understanding CEM artefacts and pitfalls is important to prevent diagnostic misinterpretation. This article aims to provide a comprehensive review of the artefacts and potential diagnostic pitfalls encountered in CEM, focusing on their characteristic imaging features and strategies to mitigate these issues.
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