Tubular gastric adenocarcinoma: Machine learning-based CT texture analysis for predicting lymphovascular and perineural invasion.

CONCLUSION: ML-based CT texture analysis has a potential for predicting LVI and PNI of the tubular GACs. Overall, the method was more successful in predicting LVI than PNI.
PMID: 32990246 [PubMed - as supplied by publisher]

Source: Diagnostic and Interventional Radiology : The Turkish Society of Radiology - September 28, 2020 Category: Radiology Authors: Yardımcı AH, Koçak B, Turan Bektaş C, Sel İ, Yarıkkaya E, Dursun N, Bektaş H, Usul Afşar Ç, Gürsu RU, Kılıçkesmez Ö Tags: Diagn Interv Radiol Source Type: research