Y. Jiang
Peking University
10 Papers
11 Citations
Y. Jiang is an academic researcher from Peking University. The author has contributed to research in topics: Medicine & Point source. The author has an hindex of 3, co-authored 8 publications.
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Papers
[Comparison of preoperative planning of radioactive seed implantation for pelvic wall recurrent gynecological malignant tumors between 3D-printing non-coplanar template and 3D-printing coplanar template].
TL;DR: For patients with gynecological malignancies with pelvic recurrence, both of the two peroperative plans could achieve prescription dose, but 3D-PNCT is more safer.
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[CT guidance 125 I seed implantation for pelvic recurrent rectal cancer assisted by 3D printing individual non-coplanar template]
TL;DR: 3D printing template might be helpful for locally recurrent rectal cancer patients who received 125I radioactive seed implantation assisted by 3D printing individual template, which might have more chances to achieve prescription dose and dose limitation of organs at risk of pre-plan.
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3D printing non-coplanar template-assisted 125-iodine seed implantation for thorax movement tumor: individual template design method
TL;DR: The dosimetric parameters of postoperative verification are consistent well with the preoperative planning and have good accuracy, the results could meet the clinical requirements.
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[Dosimetry verification of radioactive seed implantation with 3D printing template and CT guidance for paravertebral/retroperitoneal malignant tumor].
TL;DR: Most parameters of postoperative validations for 3D printing template assisted seeds implantation in paravertebral/retroperitoneal are closed to the expectations of preoperative plans which means the improvement of accuracy in treatment.
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[Efficacy and initial clinical evaluation of optical genome mapping in the diagnosis of structural variations].
Na Hao,J. Zhou,M. M. Li,Wei Luo,H. Zhang,Qing-wei Qi,Y. Jiang,X Y Zhou,K. Yang,H. Chen,Hong Pan,J. Zhu,Juntao Liu +12 more
- 06 May 2022
TL;DR: Results demonstrated that optical genome mapping as a new technology can not only detect unbalanced rearrangements such as copy number variants as well as balanced translocations and inversions, but more importantly, it can refine breakpoints and orientation of duplicated segments or insertions.
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