3D CNN-based Deep Learning Model-based Explanatory Prognostication in Patients with Multiple Myeloma using Whole-body MRI-Reference-Cited by-同舟云学术

3D CNN-based Deep Learning Model-based Explanatory Prognostication in Patients with Multiple Myeloma using Whole-body MRI

Published:2024-03-08 Issue:1 Volume:48 Page:
ISSN:1573-689X
Container-title:Journal of Medical Systems
language:en
Short-container-title:J Med Syst

Author:

Morita Kento,Karashima Shigehiro,Terao Toshiki,Yoshida Kotaro,Yamashita Takeshi,Yoroidaka Takeshi,Tanabe Mikoto,Imi Tatsuya,Zaimoku Yoshitaka,Yoshida Akiyo,Maruyama Hiroyuki,Iwaki Noriko,Aoki Go,Kotani Takeharu,Murata Ryoichi,Miyamoto Toshihiro,Machida Youichi,Matsue Kosei,Nambo Hidetaka,Takamatsu Hiroyuki

Funder

The Mitani Foundation for Research and Development

The Japanese Society of Hematology Research Grant

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s10916-024-02040-8.pdf

Reference33 articles.

1. Greipp, P. R., San Miguel, J., Durie, B. G., Crowley, J. J., Barlogie, B., Blade, J., et al. International staging system for multiple myeloma. J. Clin. Oncol. 23:3412–3420, 2005.

2. Palumbo, A., Avet-Loiseau, H., Oliva, S., Lokhorst, H. M., Goldschmidt, H., Rosinol, L., et al. Revised International Staging System for Multiple Myeloma: A Report From International Myeloma Working Group. J. Clin. Oncol. 33:2863–2869, 2015.

3. D’Agostino, M., Cairns, D. A., Lahuerta, J. J., Wester, R., Bertsch, U., Waage, A., et al. Second Revision of the International Staging System (R2-ISS) for Overall Survival in Multiple Myeloma: A European Myeloma Network (EMN) Report Within the HARMONY Project. J. Clin. Oncol. 40:3406–3418, 2022.

4. Hillengass, J., Usmani, S., Rajkumar, S. V., Durie, B. G. M., Mateos, M. V., Lonial, S., et al. International myeloma working group consensus recommendations on imaging in monoclonal plasma cell disorders. Lancet Oncol. 20:e302-e12, 2019.

5. Moreau, P., Attal, M., Caillot, D., Macro, M., Karlin, L., Garderet, L., et al. Prospective Evaluation of Magnetic Resonance Imaging and [(18)F]Fluorodeoxyglucose Positron Emission Tomography-Computed Tomography at Diagnosis and Before Maintenance Therapy in Symptomatic Patients With Multiple Myeloma Included in the IFM/DFCI 2009 Trial: Results of the IMAJEM Study. J. Clin. Oncol. 35:2911–2918, 2017.

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. The Challenging Approach to Multiple Myeloma: From Disease Diagnosis and Monitoring to Complications Management;Cancers;2024-06-19