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Related Experiment Video

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Three-dimensional printed navigational template for localizing small pulmonary nodules: A case-controlled study.

Rui Fu1, Yun-Fei Chai2, Jia-Tao Zhang1

  • 1Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.

Thoracic Cancer
|July 21, 2020
PubMed
Summary
This summary is machine-generated.

Three-dimensional (3D) printing offers an accurate and feasible method for localizing small pulmonary nodules, particularly ground-glass nodules (GGNs). This innovative technique aids thoracic surgeons by facilitating precise lung nodule localization before surgery.

Keywords:
Computed tomographylung neoplasmspulmonary nodulesthree-dimensional printing

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Area of Science:

  • Thoracic Surgery
  • Medical Imaging
  • 3D Printing Technology

Background:

  • Localization of small pulmonary nodules presents a significant challenge for thoracic surgeons.
  • Ground-glass nodules (GGNs) are particularly difficult to pinpoint.
  • Accurate preoperative localization is crucial for successful surgical intervention.

Purpose of the Study:

  • To evaluate the accuracy of three-dimensional (3D) printing technology for localizing small pulmonary nodules.
  • To compare 3D printing-guided localization with traditional computed tomography-guided (CT-G) localization.
  • To assess the feasibility and learning curve of 3D printing for pulmonary nodule localization.

Main Methods:

  • Patients with peripheral small pulmonary nodules (≤2 cm) requiring preoperative localization were enrolled.
  • A comparison period involved both CT-guided (CT-G) and 3D-printing template-guided (3D-G) localization.
  • A testing period utilized only the 3D-G technique, with templates designed from CT images.
  • Cumulative sum (CUSUM) analysis assessed the learning curve.

Main Results:

  • The success rate for 3D-G localization was high (92.9% in comparison, 95.6% in testing).
  • Localization time was significantly reduced with 3D-G (9.8 ± 4.6 minutes) compared to CT-G (23.6 ± 5.3 minutes).
  • CUSUM analysis revealed a learning curve with two distinct phases, indicating a learning effect.

Conclusions:

  • Three-dimensional printing localization is an accurate, feasible, and accessible strategy for small pulmonary nodules.
  • The technique is especially effective for nodules in the right upper lobe.
  • 3D printing facilitates lung nodule localization, potentially improving surgical outcomes.