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‍OVERVIEW

The Hepatobiliary Surgery Department at The Second Affiliated Hospital of Soochow University successfully employed InferOperate's advanced 3D reconstruction model in the management of a complex recurrent liver cancer case in a 60-year-old female patient.

Patient Profile：

- Age/Gender: 60-year-old female

- Initial Diagnosis: Liver cirrhosis and ascites (diagnosed four years ago)

- Previous Treatments: Laparoscopic liver cancer resection and Transarterial Chemoembolization (TACE)

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CASE PROGRESSION

- June 2021: MRI scans revealed abnormal liver lesions. The patient was diagnosed with hepatocellular carcinoma (HCC) and underwent laparoscopic resect ion.

- October 2023: Follow-up MRI indicated a possible recur rence of HCC. A partial hepatectomy was per formed successfully.

- Post-Surgery: Enhanced CT scans detected new lesions, suggesting further recurrence.

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3D RECONSTRUCTION APPLICATION

Volume Calculation:

Traditional imaging was inadequate for assessing the remaining liver volume. InferOperate’s 3D reconstruction revealed the left liver volume to be 38.1% and the remaining liver volume at 61.9%, enabling the surgical team to proceed with a confident left hepatectomy.

Tumour Localization:

The 3D model accurately mapped liver segments and their proximity to critical blood vessels, guiding the surgical plan for precise tumour excision.

‍Intraoperative Guidance:

The integration of 3D images with intraoperative ultrasound allowed for real-time assessment of tumour size, depth, and its relationship with surrounding vasculature, thereby enhancing surgical accuracy.

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SURGICAL PROCEDURE

- A 25 cm "reverse L-shaped" incision was made to expose the left liver lobe.

- Intraoperative ultrasound and 3D reconstruction confirmed the tumour's precise location.

- A left hepatectomy was performed with meticulous dissection and vessel management.

- The patient recovered well post-surgery, with minimal bleeding and no transfusion required.

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CONCLUSION

The case exemplifies the critical role of 3D reconstruction in complex liver surgeries, particularly in accurate tumour localization and volume assessment, ultimately leading to better patient outcomes.

✓ Reduced clinican workload and reconstruction time

✓ Improved surgical outcomes

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