<?xml version="1.1" encoding="utf-8"?>
<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">OTD</journal-id><journal-title-group><journal-title>Oncology Treatment Discovery</journal-title></journal-title-group><issn>3083-4996</issn><eissn>2981-8079</eissn><publisher><publisher-name>Bio-Byword Scientific Publishing Pty. Ltd.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26689/otd.v3i1.9949</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Research on the Application of Lung Ground- Glass Nodule Screening Based on Gene Methylation Combined with Spiral CT and AI Recognition System in Teaching Practice</title><url>https://artdesignp.com/journal/OTD/3/1/10.26689/otd.v3i1.9949</url><author>ZhouYong,ZhouCheng,XuYingying,GanXiaojing,JingWenbo,MingJie</author><pub-date pub-type="publication-year"><year>2025</year></pub-date><volume>3</volume><issue>1</issue><history><date date-type="pub"><published-time>2025-04-02</published-time></date></history><abstract>The application of gene methylation combined with spiral CT in the screening of lung ground-glass nodules (GGN) and the integration of AI recognition systems represent cutting-edge advancements in medical technology. This study explores the practical application of these techniques in teaching settings, aiming to enhance students’ understanding and proficiency in modern medical imaging and diagnosis. By incorporating these methods into educational curricula, we seek to assess their effectiveness in improving diagnostic accuracy, efficiency, and overall student engagement. The findings of this research have implications for enhancing medical education, particularly in the field of radiology and imaging sciences, ultimately leading to improved patient care and outcomes.</abstract><keywords/></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>Liang D, Zhou J, Zeng M, et al., 2024, Predictive Value of AI-Based CT Quantitative Analysis for Invasiveness of Atypical Ground-Glass Nodule Lung Adenocarcinoma Under 20 mm. Journal of Clinical Radiology, 43(1): 57–62.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B2" content-type="article"><label>2</label><element-citation publication-type="journal"><p>Yin X, Zhang J, Li W, et al., 2022, The Value of CT Features in Predicting the Invasiveness of Early Lung Adenocarcinoma With Ground-Glass Nodules. Chinese Journal of CT and MRI, 20(11): 74–77.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B3" content-type="article"><label>3</label><element-citation publication-type="journal"><p>Wang Q, Peng W, Wang R, et al., 2024, Diagnostic Value of CT Features and Enhanced Quantitative Analysis in Predicting the Invasiveness of Pulmonary Ground-Glass Nodules. Journal of Medical Imaging, 34(4): 33–37 + 48.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B4" content-type="article"><label>4</label><element-citation publication-type="journal"><p>Zhang D, Chen Y, Mo Q, et al., 2023, The Value of a Combined Model Based on Clinical and Radiomic Features in Predicting the Invasiveness of Ground-Glass Nodule Lung Adenocarcinoma. Medical and Health Equipment, 44(12): 51–57.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B5" content-type="article"><label>5</label><element-citation publication-type="journal"><p>Li M, Cao C, Chen Y, et al., 2024, Expert Consensus on Innovative Diagnosis and Treatment Guidelines for Multiple Ground-Glass Nodules in the Lungs With Integrated Chinese and Western Medicine (2023 Edition). Oncology, 1–12.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B6" content-type="article"><label>6</label><element-citation publication-type="journal"><p>Liu G, Mao X, Xie X, et al., 2023, Diagnostic Study of Multimodal Artificial Intelligence Models for Benign and Malignant Pulmonary Ground-Glass Nodules. Journal of Practical Radiology, 39(6): 904–907.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B7" content-type="article"><label>7</label><element-citation publication-type="journal"><p>Zhou X, Zhang B, Duan L, 2022, Study on the Value of Applying CBS Teaching Mode in Pneumoconiosis Teaching. China Health Industry, 19(18): 149–152.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B8" content-type="article"><label>8</label><element-citation publication-type="journal"><p>Du D, Jin M, Wang Y, et al., 2023, The Value of CT Features in Predicting the Invasiveness and Degree of Invasion of Pure Ground-Glass Nodules in Lung Tumors Based on the New Classification of Lung Tumors in 2021. Chinese Journal of CT and MRI, 21(7): 52–55.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B9" content-type="article"><label>9</label><element-citation publication-type="journal"><p>Gao L, Zhang J, Gu H, et al., 2022, The Value of CT Features in Predicting the Invasiveness and Degree of Invasion of Pure Ground-Glass Nodules in Lung Tumors Based on the New Classification of Lung Tumors in 2021. Chinese Journal of Radiology, 56(6): 616–622.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B10" content-type="article"><label>10</label><element-citation publication-type="journal"><p>Ji Y, Luo L, Wang J, 2023, Application Value and Influencing Factors of CT Scanning in Differentiating Benign and Malignant Ground-Glass-Like Nodules in Lungs. World Journal of Complex Medicine, 9(4): 95–97 + 101.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B11" content-type="article"><label>11</label><element-citation publication-type="journal"><p>Liu B, Zhang Y, Su L, et al., 2022, Study on Predicting the Invasion of Non-Small Cell Lung Cancer by Ground-Glass Nodules. Chinese Journal of New Clinical Medicine, 15(3): 202–206.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B12" content-type="article"><label>12</label><element-citation publication-type="journal"><p>Wang Q, Wu J, 2022, Evolution Pattern and Risk Factors of Pure Ground-Glass Nodules in Lungs Based on Long-Term CT Follow-Up. Radiologic Practice, 37(3): 398–401.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B13" content-type="article"><label>13</label><element-citation publication-type="journal"><p>Liu X, Liu W, Zhao Y, et al., 2023, Application of Case-Based Problem-Driven Teaching Method in Online and Offline Mixed Teaching Mode of Medical Imaging. Clinical Medical Research and Practice, 8(25): 190–194.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B14" content-type="article"><label>14</label><element-citation publication-type="journal"><p>Li H, Yan X, Li J, et al., 2024, Application of Three-Dimensional Reconstruction and Finite Element Technology in Imaging Teaching for Orthopedic Residents. Journal of Medical Research, 53(4): 196–198 + 114.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B15" content-type="article"><label>15</label><element-citation publication-type="journal"><p>Zhang L, 2023, Publication of “Medical Imaging Experiment Tutorial”: Exploration and Practice of Teaching Reform in Medical Imaging Experiments. Journal of Interventional Radiology, 32(2): 205.</p><pub-id pub-id-type="doi"/></element-citation></ref></ref-list></back></article>
