Comparison of segmentectomy guided by thin-slice CT or 3D CT simulation: A retrospective study

Area of Science:

• Thoracic Surgery
• Medical Imaging
• Pulmonology

Background:

• Segmentectomy is a key procedure for lung nodules.
• Accurate pre-operative imaging guidance is crucial for successful segmentectomy.
• Traditional 3D CT simulation can be time-consuming.

Purpose of the Study:

• To introduce a method for reading thin-slice CT images for segmentectomy guidance.
• To compare the efficacy of thin-slice CT image guidance with 3D CT simulation.
• To evaluate the impact on pre-operative preparation and decision-making times.

Main Methods:

• Retrospective review of 111 patients undergoing video-assisted thoracic surgery segmentectomy.
• Division into two groups: thin-slice CT image guidance (55 patients) and 3D CT simulation guidance (56 patients).
• Comparison of clinical parameters, including pre-operative preparation and decision times.

Main Results:

• The thin-slice CT group showed significantly shorter preoperative hospitalized preparation time (P=.002).
• The thin-slice CT group demonstrated significantly shorter preoperative decision time (P<.001).
• No significant difference in intraoperative reference frequency between the two groups (P=.233).

Conclusions:

• Scientific reading of thin-slice CT images provides effective guidance for segmentectomy.
• This approach enhances surgical efficiency and may contribute to improved post-operative recovery.
• Thin-slice CT image interpretation is a viable alternative to 3D CT simulation for lung nodule treatment.