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浏览/检索结果: 共5条，第1-5条 帮助 已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 A multi-institutional study of association of sonographic characteristics with cervical lymph node metastasis in unifocal papillary thyroid carcinoma 期刊论文 FRONTIERS IN ENDOCRINOLOGY, 2022, 卷号: 13 作者:  Zhou, Liuhua;  Yao, Jincao;  Ou, Di;  Li, Mingkui;  Lei, Zhikai 收藏  |  浏览/下载：17/0  |  提交时间：2022/12/22 ultrasonography  thyroid cancer  papillary  lymphatic metastases  imaging  TI-RADS category   Clinicopathologic characteristics and outcomes of papillary thyroid carcinoma in younger patients 期刊论文 MEDICINE, 2020, 卷号: 99 作者:  Lu, Yi;  Jiang, Lin;  Chen, Chao;  Chen, Haitao;  Yao, Qinghua 收藏  |  浏览/下载：21/0  |  提交时间：2020/11/26 clinicopathologic features  disease-free survival  papillary thyroid carcinoma  recurrence   Radiomic analysis for preoperative prediction of cervical lymph node metastasis in patients with papillary thyroid carcinoma 期刊论文 EUROPEAN JOURNAL OF RADIOLOGY, 2019, 卷号: 118, 页码: 231-238 作者:   收藏  |  浏览/下载：78/0  |  提交时间：2019/12/16 Forecasting  Thyroid neoplasms  Lymphatic metastasis   Predicting cervical lymph node metastasis in patients with papillary thyroid cancer (PTC) - Why contrast-enhanced ultrasound (CEUS) was performed before thyroidectomy 期刊论文 CLINICAL HEMORHEOLOGY AND MICROCIRCULATION, 2019, 卷号: 72, 期号: 1 作者:  Zhan, Jia;  Ding, Hong;  Wang, Wenping;  Chen, Yue;  Diao, Xuehong 收藏  |  浏览/下载：21/0  |  提交时间：2019/12/05 Contrast-enhanced ultrasound (CEUS)  papillary thyroid carcinoma (PTC) cervical  cervical lymph node metastasis (CLNM)  fine needle aspiration (FNA)   Noninvasive Surface Detection of Papillary Thyroid Carcinoma by Fourier Transform Infrared Spectroscopy 期刊论文 CHEMICAL RESEARCH IN CHINESE UNIVERSITIES, 2015 Zhang Weitao; Tian Peirong; Zhu Qing; Zhang Yuanfu; Cui Long; Xu Zhi 收藏  |  浏览/下载：11/0  |  提交时间：2017/12/03 Noninvasive detection  Papillary thyroid carcinoma  Fourier transform infrared(FTIR) spectroscopy  Fisher&apos  CANCER  MICROSPECTROSCOPY  NODULE  CELLS  s discriminant analysis