Machine learning–based MRI texture analysis to predict occult lymph node metastasis in early-stage oral tongue squamous cell carcinoma-Reference-Cited by-同舟云学术

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Machine learning–based MRI texture analysis to predict occult lymph node metastasis in early-stage oral tongue squamous cell carcinoma

Published:2021-02-10 Issue:9 Volume:31 Page:6429-6437
ISSN:0938-7994
Container-title:European Radiology
language:en
Short-container-title:Eur Radiol

Author:

Yuan Ying,Ren Jiliang,Tao Xiaofeng

Funder

Key Programme

Youth Medical Talents-Medical Imaging Practitioner Program

Shanghai Municipal Health Commission

Publisher

Springer Science and Business Media LLC

Subject

Radiology Nuclear Medicine and imaging,General Medicine

Link

https://link.springer.com/content/pdf/10.1007/s00330-021-07731-1.pdf

Reference35 articles.

1. Chen W, Zheng R, Baade PD et al (2016) Cancer statistics in China, 2015. CA Cancer J Clin 66:115–132

2. Greenberg JS, El Naggar AK, Mo V, Roberts D, Myers JN (2003) Disparity in pathologic and clinical lymph node staging in oral tongue carcinoma. Implication for therapeutic decision making. Cancer 98:508–515

3. Oh LJ, Phan K, Kim SW et al (2020) Elective neck dissection versus observation for early-stage oral squamous cell carcinoma: systematic review and meta-analysis. Oral Oncol 105:104661

4. Kelner N, Rodrigues PC, Bufalino A et al (2015) Activin A immunoexpression as predictor of occult lymph node metastasis and overall survival in oral tongue squamous cell carcinoma. Head Neck 37:479–486

5. Yuen AP, Ho CM, Chow TL et al (2009) Prospective randomized study of selective neck dissection versus observation for N0 neck of early tongue carcinoma. Head Neck 31:765–772

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