This study aims to develop a predictive model for epidermal growth factor receptor (EGFR) mutations in lung adenocarcinoma by integrating computed tomography (CT) imaging features with clinical characteristics. A retrospective analysis was conducted using electronic medical records from 194 patients diagnosed with lung adenocarcinoma between January 2016 and December 2020, with approval from the institutional review board. Features were selected using LASSO regression, and predictive models were built using logistic regression, support vector machine, and random forest methods.
View Article and Find Full Text PDFObjectives: To evaluate the feasibility, safety, and efficacy of computed tomography(CT)-guided percutaneous radiofrequency ablation (RFA) in medically inoperable older adults with clinical stage I non-small cell lung cancer (NSCLC).
Patients And Methods: We retrospectively reviewed the records of medically inoperable older adults (≥70 years) with clinical stage I NSCLC who underwent percutaneous multi-tined electrode RFA at our institution between January 2014 and December 2018. We analyzed the patients' characteristics, therapy response, survival, as well as the procedure-related complications.
Background: The evaluation of cervical lymph nodes is very important for patients with papillary thyroid carcinoma (PTC). Conventional ultrasound is recommended to assess the status of cervical lymph nodes but the diagnostic performance is not satisfying especially in level VI lymph nodes. Recently, shear wave elastography has shown great potential in diagnosis.
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