Magnetic resonance imaging features of tumor and lymph node to predict clinical outcome in node-positive cervical cancer: a retrospective analysis

Magnetic resonance imaging features of tumor and lymph node to predict clinical outcome in node-positive cervical cancer: a retrospective analysis

Abstract Background Current chemoradiation regimens for locally advanced cervical cancer are fairly uniform despite a profound diversity of treatment response and recurrence patterns. The wide range of treatment responses and prognoses to standardized concurrent chemoradiation highlights the need fo...

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Bibliographic Details
Main Authors: Shin-Hyung Park, Myong Hun Hahm, Bong Kyung Bae, Gun Oh Chong, Shin Young Jeong, Sungdae Na, Sungmoon Jeong, Jae-Chul Kim
Format: Article
Language:English
Published: BMC 2020-04-01
Series:Radiation Oncology
Subjects:
Cervical cancer
Lymph node
Chemoradiotherapy
Predictive modeling
Texture analysis
Radiomics
Online Access:http://link.springer.com/article/10.1186/s13014-020-01502-w

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http://link.springer.com/article/10.1186/s13014-020-01502-w

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