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01-02-2019 | Chest

The MR radiomic signature can predict preoperative lymph node metastasis in patients with esophageal cancer

Authors: Jinrong Qu, Chen Shen, Jianjun Qin, Zhaoqi Wang, Zhenyu Liu, Jia Guo, Hongkai Zhang, Pengrui Gao, Tianxia Bei, Yingshu Wang, Hui Liu, Ihab R. Kamel, Jie Tian, Hailiang Li

Published in: European Radiology | Issue 2/2019

Abstract

Purpose

To assess the role of the MR radiomic signature in preoperative prediction of lymph node (LN) metastasis in patients with esophageal cancer (EC).

Patients and methods

A total of 181 EC patients were enrolled in this study between April 2015 and September 2017. Their LN metastases were pathologically confirmed. The first half of this cohort (90 patients) was set as the training cohort, and the second half (91 patients) was set as the validation cohort. A total of 1578 radiomic features were extracted from MR images (T2-TSE-BLADE and contrast-enhanced StarVIBE). The lasso and elastic net regression model was exploited for dimension reduction and selection of the feature space. The multivariable logistic regression analysis was adopted to identify the radiomic signature of pathologically involved LNs. The discriminating performance was assessed with the area under receiver-operating characteristic curve (AUC). The Mann-Whitney U test was adopted for testing the potential correlation of the radiomic signature and the LN status in both training and validation cohorts.

Results

Nine radiomic features were selected to create the radiomic signature significantly associated with LN metastasis (p < 0.001). AUC of radiomic signature performance in the training cohort was 0.821 (95% CI: 0.7042-0.9376) and in the validation cohort was 0.762 (95% CI: 0.7127-0.812). This model showed good discrimination between metastatic and non-metastatic lymph nodes.

Conclusion

The present study showed MRI radiomic features that could potentially predict metastatic LN involvement in the preoperative evaluation of EC patients.

Key Points

• The role of MRI in preoperative staging of esophageal cancer patients is increasing.

• MRI radiomic features showed the ability to predict LN metastasis in EC patients.

• ICCs showed excellent interreader agreement of the extracted MR features.

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Title: The MR radiomic signature can predict preoperative lymph node metastasis in patients with esophageal cancer
Authors: Jinrong Qu
Chen Shen
Jianjun Qin
Zhaoqi Wang
Zhenyu Liu
Jia Guo
Hongkai Zhang
Pengrui Gao
Tianxia Bei
Yingshu Wang
Hui Liu
Ihab R. Kamel
Jie Tian
Hailiang Li
Publication date: 01-02-2019
Publisher: Springer Berlin Heidelberg
Published in: European Radiology / Issue 2/2019
Print ISSN: 0938-7994
Electronic ISSN: 1432-1084
DOI: https://doi.org/10.1007/s00330-018-5583-z

Keynote webinar | Spotlight on sleep in brain health

Springer Medicine

The MR radiomic signature can predict preoperative lymph node metastasis in patients with esophageal cancer

Abstract

Purpose

Patients and methods

Results

Conclusion

Key Points

Keynote webinar | Spotlight on sleep in brain health

Springer Medicine

Abstract

Purpose

Patients and methods

Results

Conclusion

Key Points

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