| Literature DB >> 28405900 |
Sayed Ahmad Zikri Bin Sayed Aluwee1, Xiangrong Zhou2, Hiroki Kato3, Hiroshi Makino4, Chisako Muramatsu1, Takeshi Hara1, Masayuki Matsuo3, Hiroshi Fujita1.
Abstract
We propose an approach to supporting pre-surgical planning for the uterus by integrating medical image analysis and physical model generation based on 3D printing. With our method, we first segment the patient-specific anatomy and lesions of the uterus on MR images; then, we create a 3D physical model, an exact replica of the patient's uterus in terms of size and softness, with transparency for easy observation of the internal structures of the uterus. In our experiments, we created pre-surgical models of hysterectomy for five patients who had been diagnosed to have uterine endometrial cancer. An experienced radiologist, the surgeons, and all of the patients cooperated in our experiment for carrying out subjective evaluations of the usefulness of our model. The accuracy of the physical models was evaluated quantitatively by comparison between the MR images of the patients and the CT images of the models. The results showed that the mean values of the errors in gap ranged from 1.19 to 2.22 mm, which was satisfactory for the surgeons. The feedback from both surgeons and patients demonstrated the usefulness and convenience of the models for efficient patient explanation understanding and pre-surgical planning by surgeons.Entities:
Keywords: 3D physical models; 3D printing; MR images; Uterine endometrial cancer; Uterine surgery support
Mesh:
Year: 2017 PMID: 28405900 DOI: 10.1007/s12194-017-0397-2
Source DB: PubMed Journal: Radiol Phys Technol ISSN: 1865-0333