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Poster Display session 2

2124 - The discrimination of pituitary adenomas and craniopharyngioma on MRI: from image features to texture features


29 Sep 2019


Poster Display session 2


Tumour Site

Endocrine Tumours


Hanyue Xu


Annals of Oncology (2019) 30 (suppl_5): v194-v197. 10.1093/annonc/mdz245


H. Xu1, X. MA2

Author affiliations

  • 1 West China School Of Medicine, West China Hospital, 610041 - Chengdu/CN
  • 2 Department Of Biotherapy, Cancer Center, State Key Laboratory Of Biotherapy, West China Hospital, Sichuan University, 610041 - Chengdu/CN


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Abstract 2124


To explore the differences of MRI scan between pituitary adenomas and craniopharyngioma from MR image features to 3D based texture features.


A total number of 131 patients were introduced into this study (pituitary Adenomas =68; craniopharyngioma=63) with pre-surgery MRI image. Qualitative MR features and MRI texture features of lesion were evaluated using chi-square tests, Fisher exact test or Mann-Whitney U test. Multivariate logistic regression analyses were performed to access their ability as independent predictors. Accuracy measures were calculated substantially for the significant features.


Five MRI features were suggested to be significantly different between pituitary adenomas and craniopharyngioma and one of them, cystic alteration could be considered as independent practical predictors. Three texture features from contrast enhanced images (Histo-Skewness, GLCM-Contrast and GLCM-Energy), two texture features from T2WI (Histo-Skewness and GLCM-Contrast) were found to be significantly related to discrimination between two types of diseases. Two texture features (Histo-Skewness and GLCM-Contrast) were found significantly to be in relation with cystic alteration.


Both of MRI image features and texture features, could make significant discrimination between pituitary adenoma and craniopharyngioma and represent practical diagnostic value; in addition, two type features associate with each other.

Clinical trial identification

Editorial acknowledgement

Legal entity responsible for the study

Xuelei Ma.


Has not received any funding.


All authors have declared no conflicts of interest.

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