Research Progress on Localization of Pulmonary Nodules
With the widespread adoption of low-dose computed tomography (LDCT) and advancements in computed tomography image resolution, the detection rate of pulmonary nodules, especially smaller ones, has significantly improved. The risk of developing malignant tumors increases with the pulmonary nodule diam...
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Published in | Zhongguo yi liao qi xie za zhi Vol. 48; no. 2; pp. 192 - 198 |
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Main Authors | , , |
Format | Journal Article |
Language | Chinese |
Published |
China
Editorial Office of Chinese Journal of Medical Instrumentation
30.03.2024
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Abstract | With the widespread adoption of low-dose computed tomography (LDCT) and advancements in computed tomography image resolution, the detection rate of pulmonary nodules, especially smaller ones, has significantly improved. The risk of developing malignant tumors increases with the pulmonary nodule diameter. Video-assisted thoracoscopic surgery (VATS) stands out as the preferred surgical method. The accurate localization of pulmonary nodules is crucial for the success of VATS and remains a significant challenge for thoracic surgeons. Currently, commonly employed localization methods include CT-guided percutaneous positioning, bronchoscope-guided positioning, intraoperative ultrasound positioning, augmented reality (AR), and 3D print-assisted positioning. This review explores recent research progress, highlights the strengths and weaknesses of various pulmonary nodule localization methods. The aim is to provide valuable insights for clinical applications and guide future developments in this field. |
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AbstractList | With the widespread adoption of low-dose computed tomography (LDCT) and advancements in computed tomography image resolution, the detection rate of pulmonary nodules, especially smaller ones, has significantly improved. The risk of developing malignant tumors increases with the pulmonary nodule diameter. Video-assisted thoracoscopic surgery (VATS) stands out as the preferred surgical method. The accurate localization of pulmonary nodules is crucial for the success of VATS and remains a significant challenge for thoracic surgeons. Currently, commonly employed localization methods include CT-guided percutaneous positioning, bronchoscope-guided positioning, intraoperative ultrasound positioning, augmented reality (AR), and 3D print-assisted positioning. This review explores recent research progress, highlights the strengths and weaknesses of various pulmonary nodule localization methods. The aim is to provide valuable insights for clinical applications and guide future developments in this field. With the widespread adoption of low-dose computed tomography (LDCT) and advancements in computed tomography image resolution, the detection rate of pulmonary nodules, especially smaller ones, has significantly improved. The risk of developing malignant tumors increases with the pulmonary nodule diameter. Video-assisted thoracoscopic surgery (VATS) stands out as the preferred surgical method. The accurate localization of pulmonary nodules is crucial for the success of VATS and remains a significant challenge for thoracic surgeons. Currently, commonly employed localization methods include CT-guided percutaneous positioning, bronchoscope-guided positioning, intraoperative ultrasound positioning, augmented reality (AR), and 3D print-assisted positioning. This review explores recent research progress, highlights the strengths and weaknesses of various pulmonary nodule localization methods. The aim is to provide valuable insights for clinical applications and guide future developments in this field.With the widespr |
Author | Wang, Jiangnan Yan, Weiya Ding, Xuebing |
Author_xml | – sequence: 1 givenname: Jiangnan surname: Wang fullname: Wang, Jiangnan organization: Department of Thoracic Surgery, Suzhou Hospital Affiliated of Nanjing Medical University, Suzhou, 215000 – sequence: 2 givenname: Weiya surname: Yan fullname: Yan, Weiya organization: Department of Thoracic Surgery, Suzhou Hospital Affiliated of Nanjing Medical University, Suzhou, 215000 – sequence: 3 givenname: Xuebing surname: Ding fullname: Ding, Xuebing organization: Department of Thoracic Surgery, Suzhou Hospital Affiliated of Nanjing Medical University, Suzhou, 215000 |
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Title | Research Progress on Localization of Pulmonary Nodules |
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