MR textural analysis on contrast enhanced 3D-SPACE images in assessment of consistency of pituitary macroadenoma

被引:23
作者
Rui, Wenting [1 ]
Wu, Yue [1 ]
Ma, Zengyi [2 ]
Wang, Yongfei [2 ]
Wang, Yin [3 ]
Xu, Xiao [4 ]
Zhang, Junhai [1 ]
Yao, Zhenwei [1 ]
机构
[1] Fudan Univ, Huashan Hosp, Dept Radiol, Mid Wulumuqi Rd, Shanghai 200040, Peoples R China
[2] Fudan Univ, Huashan Hosp, Dept Neurosurg, Mid Wulumuqi Rd, Shanghai 200040, Peoples R China
[3] Fudan Univ, Huashan Hosp, Dept Neuropathol, Mid Wulumuqi Rd, Shanghai 200040, Peoples R China
[4] GE Chinese Sci & Technol Pk, GE Healthcare Life Sci, Huatuo Rd, Shanghai 201203, Peoples R China
关键词
Pituitary macroadenoma; Consistency; Textural analysis; 3D-SPACE; PREVALENCE; ADENOMAS; PERFORMANCE; CANCER; SPACE; RISK;
D O I
10.1016/j.ejrad.2018.12.002
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Objectives: To explore the value of magnetic resonance textural analysis (MRTA) in assessing consistency of pituitary macroadenoma (PMA) based on contrast enhanced (CE) three-dimensional sampling perfection with application-optimized contrasts by using different flip angle evolution (3D-SPACE) images. Materials and methods: Fifty-three patients with PMAs that underwent CE 3D-SPACE scanning by 3.0T MRI and endoscopic trans-sphenoidal surgery were included in the present study. Consistency levels of PMAs were evaluated intraoperatively by two neurosurgeons. Each resection specimen was stained with H&E and anti-collagen IV. MRTA was conducted and texture features were calculated. An unpaired t-test was used to analyze the differences of texture features between soft and hard PMAs. ROC curves by individual and combined features were used to calculate the diagnostic accuracy of MRTA in predicting PMA consistency. Results: First-order energy and second-order correlation negatively correlated with hard PMAs, while first-order entropy and second-order variance, sum variance, and sum entropy positively correlated with stiffness. All showed significant differences between soft and hard PMAs (P < 0.05). Diagnostic accuracy of combined negative features could achieve an AUC of 0.819, sensitivity of 88.9%, specificity of 61.5%, PPV of 70.6%, NPV of 84.2% and positive features could achieve an AUC of 0.836, sensitivity of 85.2%, specificity of 69.2%, PPV of 74.2%, NPV of 81.8% (P < 0.001). Conclusion: MRTA using CE 3D-SPACE images is helpful for assessing PMA consistency preoperatively and noninvasively.
引用
收藏
页码:219 / 224
页数:6
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