title: Evaluation of pre-surgical models for uterine surgery by use of three-dimensional printing and mold casting.
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.
authors.affiliation: Department of Intelligent Image Information, Division of Regeneration and Advanced Medical Sciences, Graduate School of Medicine, Gifu University, 1-1 Yanagido, Gifu, 501-1194, Japan.
authors.forename: Sayed Ahmad Zikri Bin
authors.initials: SAZB
authors.lastname: Sayed Aluwee
authors.affiliation: Department of Intelligent Image Information, Division of Regeneration and Advanced Medical Sciences, Graduate School of Medicine, Gifu University, 1-1 Yanagido, Gifu, 501-1194, Japan. zxr@fjt.info.gifu-u.ac.jp.
authors.forename: Xiangrong
authors.identifier: http://orcid.org/0000-0002-5838-5885
authors.initials: X
authors.lastname: Zhou
authors.affiliation: Department of Radiology, Gifu University Hospital, 1-1 Yanagido, Gifu, 501-1194, Japan.
authors.forename: Hiroki
authors.initials: H
authors.lastname: Kato
authors.affiliation: Department of Obstetrics and Gynecology, Graduate School of Medicine, Gifu University, 1-1 Yanagido, Gifu, 501-1194, Japan.
authors.forename: Hiroshi
authors.initials: H
authors.lastname: Makino
authors.affiliation: Department of Intelligent Image Information, Division of Regeneration and Advanced Medical Sciences, Graduate School of Medicine, Gifu University, 1-1 Yanagido, Gifu, 501-1194, Japan.
authors.forename: Chisako
authors.initials: C
authors.lastname: Muramatsu
authors.affiliation: Department of Intelligent Image Information, Division of Regeneration and Advanced Medical Sciences, Graduate School of Medicine, Gifu University, 1-1 Yanagido, Gifu, 501-1194, Japan.
authors.forename: Takeshi
authors.initials: T
authors.lastname: Hara
authors.affiliation: Department of Radiology, Gifu University Hospital, 1-1 Yanagido, Gifu, 501-1194, Japan.
authors.forename: Masayuki
authors.initials: M
authors.lastname: Matsuo
authors.affiliation: Department of Intelligent Image Information, Division of Regeneration and Advanced Medical Sciences, Graduate School of Medicine, Gifu University, 1-1 Yanagido, Gifu, 501-1194, Japan.
authors.forename: Hiroshi
authors.initials: H
authors.lastname: Fujita
mesh_terms: D000328:Adult; D004548:Elasticity; D005260:Female; D006801:Humans; D008279:Magnetic Resonance Imaging; D008875:Middle Aged; D008953:Models, Anatomic; D066330:Printing, Three-Dimensional; D014057:Tomography, X-Ray Computed; D014599:Uterus / Q000033:anatomy & histology* / Q000000981:diagnostic imaging / Q000601:surgery*
keywords: 3D physical models; 3D printing; MR images; Uterine endometrial cancer; Uterine surgery support