MR-Based Radiomics Study in the Discrimination of Null Cell Adenoma
From Other Pituitary Adenomas
LI Xuejia1, MO Zhanhao1, SUI He1, SUN Xu2, LIU Jingxin1
1. Department of Radiology, China-Japan Union Hospital of Jilin University, Changchun Jilin 130000, China; 2. Department of
Radiology, The Second Hospital of Jilin University, Changchun Jilin 130000, China.
Abstract:Objective The article aimed to provide some information for the diagnosis, treatment and prognosis via histological
analysis of pituitary adenoma by magnetic resonance imaging and discriminating the null cell adenoma and other pituitary adenomas
before surgery. Methods The clinical and imaging data of 182 patients with pituitary adenoma in china-japan union hospital of Jilin
university from January 2013 to May 2018 were retrospectively analyzed. All patients underwent MR plain scan, enhanced images
and postoperative immunohistochemical examination. Coronal scanning images of T1WI, T2WI plain scan and T1WI enhanced
sequence were manually segmented and radiomics features were extracted (1029 feature values were extracted for each sequence
image). The effective radiomics features were selected via utilizing Variance threshold, Analysis of variance and the Least absolute
shrinkage and selection operator ways. Logistic regression was used to construct the prediction model, and the prediction performance
was evaluated by the ROC curve. The predictive ability of T1WI, T2WI and T1WI enhanced images and image combinations in the
pituitary immune function state were analyzed, and the advantages and disadvantages of different sequences and combinations in the
pituitary immune function state were compared. Results In the training cohort, 13 effective features extracted from T1WI and T2WI
combined images were selected. The area under curve (AUC) value was 0.80, the 95% confidence interval (95% CI) was 0.74~0.85,
and the accuracy was 0.70. The efficiency of prediction model was validated in the validation cohort, with AUC of 0.70, 95% CI of
0.55~0.84 and accuracy of 0.68. Another model based on T1WI, T2WI and CE-T1WI got almost the same results. The model
performance of the combination of the two sequences was higher than that of the single sequence. Conclusion Radiomics provides a
new approach to discriminate the immunohistochemistry results of pituitary adenomas, which may helpful in the diagnosis, medical
decision-making and prognosis for pituitary adenomas.
李雪佳1,莫展豪1,隋赫1,孙旭2,刘景鑫1. 基于MR的垂体空细胞腺瘤与其他垂体腺瘤鉴别的影像组学研究[J]. 中国医疗设备, 2019, 34(4): 29-32.
LI Xuejia1, MO Zhanhao1, SUI He1, SUN Xu2, LIU Jingxin1. MR-Based Radiomics Study in the Discrimination of Null Cell Adenoma
From Other Pituitary Adenomas. China Medical Devices, 2019, 34(4): 29-32.