Sayed Aluwee Sayed Ahmad Zikri Bin, Zhou Xiangrong, Kato Hiroki, Makino Hiroshi, Muramatsu Chisako, Hara Takeshi, Matsuo Masayuki, Fujita Hiroshi
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.
Department of Radiology, Gifu University Hospital, 1-1 Yanagido, Gifu, 501-1194, Japan.
Radiol Phys Technol. 2017 Sep;10(3):279-285. doi: 10.1007/s12194-017-0397-2. Epub 2017 Apr 12.
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.
我们提出了一种通过整合医学图像分析和基于3D打印的物理模型生成来支持子宫手术前规划的方法。使用我们的方法，我们首先在磁共振成像（MR）图像上分割患者特定的子宫解剖结构和病变；然后，我们创建一个3D物理模型，它在大小和柔软度方面是患者子宫的精确复制品，并具有透明度以便于观察子宫内部结构。在我们的实验中，我们为五名被诊断患有子宫内膜癌的患者创建了子宫切除术前模型。一名经验丰富的放射科医生、外科医生以及所有患者都参与了我们的实验，以对我们模型的实用性进行主观评估。通过比较患者的MR图像和模型的CT图像，对物理模型的准确性进行了定量评估。结果表明，间隙误差的平均值在1.19至2.22毫米之间，这对外科医生来说是令人满意的。外科医生和患者的反馈都表明，这些模型对于外科医生有效地向患者解释病情以及进行手术前规划是有用且方便的。
