Application of three-dimensional imaging software to map carcinomatosis in recurrent ovarian cancer

Author:

da Costa Ana Gomes1,Albergaria Diogo2,Almeida Joana13,Nave Mónica14,Oliveira Joana5,Catarino Ana16,Chi Dennis S78,Casanova João1

Affiliation:

1. Gynecologic Oncology Unit , Hospital da Luz, Lisboa, Avenida Lusíada, 100,1500-065 , Portugal

2. Department of General Surgery , Hospital da Luz, Lisboa, Avenida Lusíada, 100,1500-065 , Portugal

3. Department of Radiology, Hospital da Luz , Lisboa, Avenida Lusíada, 100,1500-065 , Portugal

4. Department of Oncology, Hospital da Luz , Lisboa, Avenida Lusíada, 100,1500-065 , Portugal

5. Department of Anesthesiology, Hospital da Luz , Lisboa, Avenida Lusíada, 100,1500-065 , Portugal

6. Department of Pathology, Hospital da Luz , Lisboa, Avenida Lusíada, 100,1500-065 , Portugal

7. Gynecology Service , Department of Surgery; , New York, 1275 York Ave, New York, NY 10065 , USA

8. Memorial Sloan-Kettering Cancer Center , Department of Surgery; , New York, 1275 York Ave, New York, NY 10065 , USA

Abstract

Abstract The treatment of recurrent ovarian cancer has been based on systemic therapy. The role of secondary cytoreductive surgery has been addressed recently in several trials. Imaging plays a key role in helping the surgical team to decide which patients will have resectable disease and benefit from surgery. The role of staging laparoscopy and several imaging and clinical scores has been extensively debated in the field. In other surgical fields there have been reports of using 3D imaging software and 3D printed models to help surgeons better plan the surgical approach. To the best of our knowledge, we report the first case of a patient with recurrent ovarian cancer undergoing 3D modeling before secondary cytoreductive surgery. The 3D modeling was of most value to evaluate the extension of the disease in our patient who underwent a successful secondary cytoreductive surgery and is currently free of the disease.

Publisher

Oxford University Press (OUP)

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