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Hilly or mountainous surface: a new CT feature to predict the behavior of pure ground glass nodules?

التفاصيل البيبلوغرافية
العنوان: Hilly or mountainous surface: a new CT feature to predict the behavior of pure ground glass nodules?
المؤلفون: Alessandra Scrimieri, Silvia Michelini, Andrea Borghesi, Francesco Bertagna, Roberto Maroldi, Stefania Pezzotti
المصدر: European Journal of Radiology Open, Vol 5, Iss, Pp 177-182 (2018)
European Journal of Radiology Open
بيانات النشر: Elsevier, 2018.
سنة النشر: 2018
مصطلحات موضوعية: Surface (mathematics), lcsh:Medical physics. Medical radiology. Nuclear medicine, lcsh:R895-920, Computer-assisted image analysis, Follow-up studies, Multidetector computed tomography, Pure ground glass nodule, Quantitative histogram analysis, Radiology, Nuclear Medicine and Imaging, Computed tomography, Article, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, Nuclear Medicine and Imaging, medicine, Radiology, Nuclear Medicine and imaging, ComputingMethodologies_COMPUTERGRAPHICS, medicine.diagnostic_test, business.industry, Computerized analysis, Pattern recognition, Method of analysis, Slow growth, Feature (computer vision), 030220 oncology & carcinogenesis, Risk stratification, Artificial intelligence, business, Radiology
الوصف: Graphical abstract
Highlights • pGGNs typically show an indolent course with very slow growth rates. • pGGNs exhibit different patterns of growth regardless of their initial CT features. • Predicting the behavior of pGGNs on initial CT remains a diagnostic challenge. • Diameter greater than 10 mm increases the risk of aggressive behavior in pGGNs. • The analysis of surface morphology may help predict the behavior of pGGNs ≥ 10 mm.
Persistent pure ground-glass nodules (pGGNs) typically show an indolent course with very slow growth rates. These slow-growing lesions exhibit different growth patterns regardless of their initial computed tomography (CT) features. Therefore, predicting the aggressive behavior of pGGNs on initial CT remains a diagnostic challenge. The literature reports that computerized analysis and various quantitative features have been tested to improve the risk stratification for pGGNs. The present article describes the long-term follow-up of two pGGNs with different behavior and introduces, for the first time, a new computerized method of analysis that could be helpful for predicting the future behavior of pGGNs.
اللغة: English
تدمد: 2352-0477
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d75b75d6c93352c01b6aeb5c65c1370a
http://www.sciencedirect.com/science/article/pii/S2352047718300522
حقوق: OPEN
رقم الأكسشن: edsair.doi.dedup.....d75b75d6c93352c01b6aeb5c65c1370a
قاعدة البيانات: OpenAIRE
الوصف
تدمد:23520477