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Do characteristics of pulmonary nodules on computed tomography in children with known osteosarcoma help distinguish whether the nodules are malignant or benign?

机译：患有已知骨肉瘤的儿童在计算机断层扫描上的肺结节特征是否有助于区分结节是恶性还是良性？

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Brader Peter; Abramson Sara J.; Price Anita P.; Ishill Nicole M.; Emily Zabor C.; Moskowitz Chaya S.; La Quaglia Michael P.; Ginsberg Michelle S.;
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1. Do characteristics of pulmonary nodules on computed tomography in children with known osteosarcoma help distinguish whether the nodules are malignant or benign? [J] . Brader P, Abramson SJ, Price AP, Journal of Pediatric Surgery: Official Journal of the Surgical Section of the American Academy of Pediatric, the British Association of Paediatric Surgeons, the American Pediatric Surgical Association, and the Canadian Association of Paediatric Surgeons . 2011,第4期

机译：患有已知骨肉瘤的儿童在计算机断层扫描上的肺结节特征是否有助于区分结节是恶性还是良性？
2. Establishment and verification of a prediction model based on clinical characteristics and positron emission tomography/computed tomography (PET/CT) parameters for distinguishing malignant from benign ground-glass nodules [J] . Rong Niu, Xiaonan Shao, Xiaoliang Shao, Quantitative Imaging in Medicine and Surgery . 2021,第5期

机译：基于临床特征和正电子发射断层扫描/计算断层扫描（PET / CT）参数的预测模型的建立与验证，以区分恶性良性玻璃结节
3. Neural network-based computer-aided diagnosis in distinguishing malignant from benign solitary pulmonary nodules by computed tomography [J] . CHEN Hui, WANG Xiao-hua, MA Da-qing, 中华医学杂志（英文版） . 2007,第014期

机译：基于计算机的断层扫描技术基于神经网络的计算机辅助诊断，以区分恶性和良性孤立性肺结节
4. Application of image analysis techniques to distinguish benign from malignant solitary pulmonary nodules imaged on CT [C] . Author(s): Michael F. McNitt-Gray UCLA School of Medicine Los Angeles CA USA, Eric M. Hart M.D. UCLA School of Medicine Los Angeles CA USA, Nathaniel Wyckoff UCLA School of Medicine Los Angeles CA USA, Medical Imaging 1998: Image Processing . -1

机译：图像分析技术在CT上鉴别良恶性孤立性肺结节的应用
5. Automatic segmentation of small pulmonary nodules in computed tomography data using a radial basis function neural network with application to volume estimation [D] . Tuinstra, Timothy Ryan 2008

机译：使用径向基函数神经网络的计算机断层扫描数据中的小肺结节自动分割及其在体积估计中的应用
6. Do characteristics of pulmonary nodules on CT in children with known osteosarcoma help distinguish whether the nodules are malignant or benign? [O] . Peter Brader, Sara J Abramson, Anita P Price, -1

机译：患有已知骨肉瘤的儿童CT上肺结核的特点有助于区分结节是否是恶性的或良性的？
7. Energy spectrum computed tomography improves the differentiation between benign and malignant solitary pulmonary nodules [O] . Jianhong Zhao, Yanjun Chai, Junlin Zhou, 2019

机译：能谱计算断层扫描改善了良性和恶性孤独肺结节之间的差异

Do characteristics of pulmonary nodules on computed tomography in children with known osteosarcoma help distinguish whether the nodules are malignant or benign?

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