Tubular gastric adenocarcinoma: machine learning-based CT texture analysis for predicting lymphovascular and perineural invasion.
Purpose: Lymphovascular invasion (LVI) and perineural invasion (PNI) are associated with poor prognosis in gastric cancers. In this work, we aimed to investigate the potential role of computed tomography (CT) texture analysis in predicting LVI and PNI in patients with tubular gastric adenocarcinoma...
| Published in: | Diagnostic & Interventional Radiology Vol. 26; no. 6; pp. 515 - 523 |
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| Main Authors: | , , , , , , , , , , , |
| Format: | Journal Article |
| Published: |
Galenos Yayinevi Tic. LTD. STI
Nov2020
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| Online Access: | View this record in EBSCOhost |