Retroperitoneal teratoma resection assisted by 3-dimensional visualization and virtual reality: A case report.
World J Clin Cases
; 9(4): 935-942, 2021 Feb 06.
Article
in En
| MEDLINE
| ID: mdl-33585642
ABSTRACT
BACKGROUND:
Primary retroperitoneal tumor is a rare type of tumor with insidious onset, large tumor size at the time of diagnosis, and often extensive involvement of surrounding tissues and blood vessels in the retroperitoneum. Surgery for primary retroperitoneal tumors is technically challenging. Preoperative imaging evaluation is critical for the selection of the optimal surgical approach and can influence complete resection and recurrence rates. Three-dimensional model reconstruction combined with virtual reality is useful for preoperative assessment. CASESUMMARY:
A 17-year-old female patient was admitted for abdominal pain lasting for half a year that had been worsening for half a month. Abdominopelvic enhanced helical computed tomography revealed a retroperitoneal space-occupying lesion about 11.3 cm × 9.1 cm in size, with well-defined borders in the upper left quadrant of the abdomen. The lesion compressed the left renal artery and vein resulting in vascular displacement and deformation. A multidisciplinary team decided on the optimal treatment approach. Preoperative three-dimensional visualization and virtual reality technology were used to assess and simulate the surgical procedure. Then, retroperitoneal tumor resection along with renal artery reconstruction was decided as the treatment. Complete resection of the retroperitoneal tumor was performed. Stable blood flow was established after renal artery reconstruction. The tumor was diagnosed as mature cystic teratoma (retroperitoneal tumor) by postoperative pathologic analysis. The patient, who recovered well, was discharged after 2 wk and maintains regular follow-ups.CONCLUSION:
A combination of three-dimensional reconstruction and virtual reality technology before surgery improves the rate of complete resection of retroperitoneal teratoma.
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Type of study:
Prognostic_studies
Language:
En
Journal:
World J Clin Cases
Year:
2021
Document type:
Article
Affiliation country:
China