3D printed model for triple negative inflammatory breast cancer

Yu-Hui Huang1, Todd M Tuttle2, Noelle Hoven1
1Department of Radiology, University of Minnesota, 420 Delaware Street SE, Minneapolis, MN, 55455, USA
2Department of Surgery, University of Minnesota, 420 Delaware Street SE, Minneapolis, MN, 55455, USA

Tóm tắt

Abstract Background Access to imaging reports and review of the breast imaging directly with a patient with breast cancer helps improve the understanding of disease extent and severity. A 3D printed breast model can further enhance a patient’s understanding and communication with the healthcare team resulting in improved patient comprehension and patient input with reduced treatment decision conflict. Furthermore, 3D printed models can facilitate training of residents and fellows involved in the diagnosis and treatment management of breast cancer. Case presentation We present a 3D printed breast tumor model segmented from positron electron tomography/computed tomography and fabricated via desktop vat polymerization as proof of concept for treatment planning for a patient diagnosed with triple negative inflammatory breast carcinoma. Conclusion We illustrate benefits and indications for 3D printing in the management of breast cancer and specifically inflammatory breast cancer in this case. Fabrication and implementation of 3D printed models enhances patient’s understanding and communication with the healthcare team regarding their condition, treatment options and anticipated outcomes. It provides personalized treatment planning by examining patient-specific pathology and the anatomic spatial relationships. Furthermore, 3D printed models facilitate medical education for trainees across disciplines involved in the patient’s care.

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Tài liệu tham khảo

Yeh ED, Jacene HA, Bellon JR, Nakhlis F, Birdwell RL, Georgian-Smith D, et al. What radiologists need to know about diagnosis and treatment of inflammatory breast cancer: a multidisciplinary approach. Radiographics. 2013;33(7):2003–17. https://doi.org/10.1148/rg.337135503.

Santiago L, Adrada BE, Caudle AS, Clemens MW, Black DM, Arribas EM. The role of three-dimensional printing in the surgical management of breast cancer. J Surg Oncol. 2019;120(6):897–902. https://doi.org/10.1002/jso.25680.

Wake N, Rosenkrantz AB, Huang R, Park KU, Wysock JS, Taneja SS, et al. Patient-specific 3D printed and augmented reality kidney and prostate cancer models: impact on patient education. 3D Print Med. 2019;5(1):4. https://doi.org/10.1186/s41205-019-0041-3.

Schmit C, Matsumoto J, Yost K, Alexander A, Ness L, Kurup AN, et al. Impact of a 3D printed model on patients’ understanding of renal cryoablation: a prospective pilot study. Abdom Radiol (NY). 2019;44(1):304–9. https://doi.org/10.1007/s00261-018-1710-1.

Porpiglia F, Bertolo R, Checcucci E, Amparore D, Autorino R, Dasgupta P, et al. Development and validation of 3D printed virtual models for robot-assisted radical prostatectomy and partial nephrectomy: urologists’ and patients’ perception. World J Urol. 2018;36(2):201–7. https://doi.org/10.1007/s00345-017-2126-1.

Bernhard JC, Isotani S, Matsugasumi T, Duddalwar V, Hung AJ, Suer E, et al. Personalized 3D printed model of kidney and tumor anatomy: a useful tool for patient education. World J Urol. 2016;34(3):337–45. https://doi.org/10.1007/s00345-015-1632-2.

Santiago L, Volk RJ, Checka CM, Black D, Lee J, Colen JS, et al. Acceptability of 3D-printed breast models and their impact on the decisional conflict of breast cancer patients: A feasibility study. J Surg Oncol. 2021;123(5):1206–14. https://doi.org/10.1002/jso.26420.

Galstyan A, Bunker MJ, Lobo F, Sims R, Inziello J, Stubbs J, et al. Applications of 3D printing in breast cancer management. 3D Print Med. 2021;7(1):6. https://doi.org/10.1186/s41205-021-00095-8.

Schmid P, Cortes J, Pusztai L, McArthur H, Kummel S, Bergh J, et al. Pembrolizumab for early triple-negative breast cancer. N Engl J Med. 2020;382(9):810–21. https://doi.org/10.1056/NEJMoa1910549.

Teishima J, Takayama Y, Iwaguro S, Hayashi T, Inoue S, Hieda K, et al. Usefulness of personalized three-dimensional printed model on the satisfaction of preoperative education for patients undergoing robot-assisted partial nephrectomy and their families. Int Urol Nephrol. 2018;50(6):1061–6. https://doi.org/10.1007/s11255-018-1881-2.

Siewert B, Brook OR, Hochman M, Eisenberg RL. Impact of communication errors in radiology on patient care, customer satisfaction, and work-flow efficiency. AJR Am J Roentgenol. 2016;206(3):573–9. https://doi.org/10.2214/AJR.15.15117.