Thy-Wise: An interpretable machine learning model for the evaluation of thyroid nodules

Data Description:<br> The database contains ultrasound images of thyroid nodules that were finally included in the study. As the aim of this study was to identify nodules as benign or malignant, all nodules were placed in two zip files according to their pathological nature: benign_after.zip and malignant_after.zip.<br> After unzipping the zip package and opening the folder, you can see several folders named by "pathological nature + number", each folder corresponds to a thyroid nodule and contains its ultrasound images collected in a single examination.<br> <br> Ethical Approval:<br> This retrospective study was approved by the institutional Ethics Committees of the First Affiliated Hospital of Jinan University, and the requirement for informed consent was waived.<br> <br> Sensitive Information Protection:<br> All sensitive information contained in the image, including the patient's personal information, the hospital visited, and the time of the visit, has been removed using the CV2 toolkit from python for the purpose of anonymization. <br> <br> Processing pipeline and analysis steps:<br> All the annotations in the images and clips were eliminated before review. US images were evaluated in a blinded fashion, with no US or pathology reports available, by two board-certified radiologists (with more than 10 years of experience in thyroid sonography) independently. <br> Nodule size was measured as the maximal dimension on US images and the five gray-scale US categories were reviewed according to the ACR TI-RADS lexicon (5): composition, echogenicity, shape, margin, and echogenic foci. In the ACR TI-RADS, the TI-RADS risk level for nodules was determined by the total score of the five US categories, ranging from TR1 (benign) to TR5 (highly suspicious).

数据集说明：
本数据库收录了本研究最终纳入的甲状腺结节超声图像。鉴于本研究旨在鉴别结节的良恶性，所有结节均按照其病理性质被分为两个压缩包：benign_after.zip与malignant_after.zip。

解压压缩包并打开文件夹后，可见若干以「病理性质+编号」命名的子文件夹，每个文件夹对应一枚甲状腺结节，内含单次检查采集的该结节超声图像。

伦理审批：
本回顾性研究经暨南大学附属第一医院机构伦理委员会审批通过，并豁免了知情同意要求。

敏感信息保护：
为实现数据匿名化，已通过Python的CV2工具包移除图像中包含的所有敏感信息，包括患者个人信息、就诊医院及就诊时间。

处理流程与分析步骤：
所有图像及片段中的标注信息均在审核前予以清除。本研究由两名具有10年以上甲状腺超声诊断经验的注册放射科医师独立开展盲法评估，评估过程中不提供超声或病理报告以供参考。
结节大小以超声图像上的最大径线进行测量，五项灰度超声特征依据美国放射学会甲状腺影像报告和数据系统（ACR TI-RADS）标准（5）进行评定，分别为：成分、回声强度、形态、边界及强回声灶。在ACR TI-RADS体系中，结节的TI-RADS风险等级由五项超声特征的总评分决定，范围从TR1（良性）至TR5（高度可疑恶性）。