Investigating Partial Registration for Optimizing Robotic-Assisted Bronchoscopy Evaluations of Peripheral Lung...

Area of Science:

• Pulmonology
• Medical Robotics
• Diagnostic Imaging

Background:

• Robotic-assisted bronchoscopy (RAB) enhances lung cancer diagnosis by improving access to peripheral pulmonary lesions (PPLs).
• Shape-sensing RAB (ssRAB) utilizes registration techniques to align virtual airway maps with patient anatomy.
• Conventional full registration may be time-consuming and not always necessary for optimal accuracy.

Purpose of the Study:

• To evaluate the feasibility and efficacy of a novel partial registration technique in ssRAB.
• To compare the technical accuracy of partial registration versus full registration for targeting PPLs during ssRAB.

Main Methods:

• A prospective comparative study involving 22 patients undergoing ssRAB for PPLs < 2 cm.
• Accuracy was assessed using target center distance (TCD), comparing planned vs. intraprocedural cone-beam CT target centers.
• Mean TCD values were calculated and compared between full and partial registration techniques.

Main Results:

• Partial registration demonstrated significantly improved accuracy, with a mean TCD of 7.00 mm compared to 9.23 mm for full registration (P = .0383).
• Enhanced accuracy with partial registration was most notable in posterior lung fields and lower lobes.
• The difference in TCD was statistically significant, indicating superior performance of partial registration.

Conclusions:

• Partial registration is a feasible and efficient alternative for targeting small PPLs during ssRAB.
• Full registration may not be essential, as partial registration shows comparable or superior lesion localization accuracy.
• Further research is needed to confirm technical advantages and their impact on diagnostic outcomes.