3D Lung Resection Planning for Deflated Stapler Surgery
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Solution Overview
Problem
Existing preoperative surgical planning methods for minimally invasive lung surgeries, such as Video Assisted Thoracic Surgery (VATS), face challenges due to discrepancies between preoperative 3D models based on inflated lungs and actual deflated lung conditions during surgery, leading to inconsistencies and unpredictability in surgical performance.
Innovation Solution
A system and method for preoperative planning using image recognition and big data to determine the shape, size, orientation, and position of surgical resections, estimating relevant instrument parameters, and visually rendering the planning results, applicable to linear cutting staplers and other surgical instruments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If preoperative 3D models are created based on inflated lung conditions, then the models can be generated from standard CT/MRI scans, but the models show discrepancies when the lung is deflated during surgery
Solution Approach 1:
The system changes the physical state parameter of the lung model by simulating deflation to match intraoperative conditions. The 3D model transitions from an inflated state (based on CT/MRI scans) to a deflated state through computational transformation, ensuring the model accurately represents the lung's appearance and dimensions during actual surgery.
2Ease of operation
If the lung is deflated during VATS surgery, then more space is available for surgical manipulation, but the appearance and dimensions differ from the preoperative 3D model
Solution Approach 1:
The system performs preliminary transformation of the 3D model to predict the deflated lung's appearance before surgery begins. By pre-computing how the lung will appear when deflated, surgeons can plan resection margins and cutting paths on an accurate representation of intraoperative conditions, eliminating the need to mentally adjust for discrepancies during the actual procedure.
3Ease of manufacture
If surgeons rely on mental mapping between inflated 3D models and deflated actual lungs, then preoperative planning can be performed using standard imaging, but surgical performance becomes inconsistent and unpredictable
Solution Approach 1:
The system creates a transformed copy of the preoperative 3D model that accurately represents the deflated lung's geometry and surface characteristics. This copied model incorporates the effects of lung deflation, allowing surgeons to perform precise measurements and plan resections on a virtual representation that matches intraoperative reality, eliminating reliance on subjective mental mapping.
Data Source
AI summary
A method, system, medium, and implementations for computer-aided preoperative surgical planning are described. Input data acquired with respect to a part of a patient is received by the system. The part corresponds to an organ, e.g., lung, of the patient to be operated on and includes one or more lesions to be removed during an operation. Then, an anatomic 3D model of the part of the patient is generated. Based on the generated anatomic 3D model, a preoperative plan for linear-cutting stapler resection of the one or more lesions from the organ to be carried out during the operation is obtained. The stapler cartridge size and the staple length are estimated based on the preoperative plan. Further, the resection based on the preoperative plan is visualized.