Publications by authors named "Qiaodan Zhu"

Background: Papillary thyroid carcinoma (PTC) is the most common thyroid carcinoma and is prone to cervical lymph node metastases (CLNM). We aim to analyze the correlation between clinical information, ultrasonic parameters of PTC, and CLNM.

Methods: 1335 patients who had pathologically confirmed unifocal PTC were enrolled in this retrospective cohort study.

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Background: To investigate the factors that affect postoperative recurrence in medullary thyroid carcinoma (MTC) patients, including preoperative ultrasonic characteristics and other factors.

Method: A retrospective analysis of 7 MTC patients who underwent the first thyroid surgery from 2009 to 2018 and who had complete follow-up data was conducted. According to the follow-up results, these patients were divided into the recurrence group (17 cases) and non-recurrence group (57 cases).

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Objectives: An artificial intelligence model was adopted to identify mild COVID-19 pneumonia from computed tomography (CT) volumes, and its diagnostic performance was then evaluated.

Methods: In this retrospective multicenter study, an atrous convolution-based deep learning model was established for the computer-assisted diagnosis of mild COVID-19 pneumonia. The dataset included 2087 chest CT exams collected from four hospitals between 1 January 2019 and 31 May 2020.

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Objective: To investigate the value of ultrasound gray-scale ratio (UGSR) for the differential diagnosis of papillary thyroid microcarcinoma (PTMC) and micronodular goiter (MNG) in two medical centers.

Methods: Ultrasound images of 881 PTMCs from 785 patients and 744 MNGs from 687 patients in center A were retrospectively analyzed and compared with 243 PTMCs from 203 patients and 251 MNGs from 198 patients in center B. All cases were confirmed by surgery and histology.

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The aim of this study was to investigate the factors that affect cervical lymph node metastasis (CLNM) in individuals with medullary thyroid carcinoma (MTC) in terms of ultrasonic characteristics and other parameters. Single-factor χ analysis showed that the ultrasonic characteristics of tumor size >10 mm, unclear boundary, irregular pattern and capsular invasion, as well as pre-operative calcitonin level >302.50 pg/mL (p < 0.

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