Whole-tumor histogram analysis of apparent diffusion coefficient in differentiating intracranial solitary fibrous tumor/hemangiopericytoma from angiomatous meningioma. Issue 112 (March 2019)

• Record Type: Journal Article
• Authors: He, Wenle; Xiao, Xiang; Li, Xiaodan; Guo, Yihao; Guo, Liuji; Liu, Xiaomin; Xu, Yikai; Zhou, Jun; Wu, Yuankui
• Is Part Of: European journal of radiology. Issue 112(2019)
• Page Start: 186
• Page End: 191
• Publication Date: 2019-03
• Subjects: Solitary fibrous tumor -- Hemangiopericytoma -- Angiomatous meningioma -- Apparent diffusion coefficient -- Histogram analysis; Medical radiology -- Periodicals; Radiology -- Periodicals; Radiologie médicale -- Périodiques; Medical radiology; Periodicals; 616.075705
• DOI: 10.1016/j.ejrad.2019.01.023
• Languages: English
• ISSNs: 0720-048X

Abstract

Highlights: Whole-tumor histogram analysis of ADC can differentiate SFT/HPC from AM. All histogram parameters of ADC show excellent inter-reader agreement. The minimum ADC yielded the highest diagnostic performance. Abstract: Purpose: To assess the role of histogram analysis of apparent diffusion coefficient (ADC) maps based on whole-tumor in differentiating intracranial solitary fibrous tumor/hemangiopericytoma (SFT/HPC) from angiomatous meningioma (AM). Materials and methods: Pathologically confirmed intracranial SFT/HPC ( n = 15) and AM ( n = 20) were retrospectively collected and their clinical and conventional MRI features were analyzed. Diffusion-weighted (DW) images ( b = 0 and 1000 s/mm 2 ) were processed with the mono-exponential model. Regions of interest covering the whole tumor were drawn on all slices of the ADC maps to obtain histogram parameters, including mean ADC (ADCmean), median ADC (ADCmedian), maximum ADC (ADCmax), minimum ADC (ADCmin), skewness and kurtosis, as well as the 5th, 10th, 25th, 75th, 90th and 95th percentile ADC (ADC5, ADC10, ADC25, ADC75, ADC90 and ADC95). Differences of histogram parameters between SFT/HPC and AM were compared using Mann-Whitney U test. Receiver operating characteristic (ROC) curve was used to determine the diagnostic performance. Results: The ADCmin ( P = 0.001) and ADC5 ( P = 0.045) were significantly lower in SFT/HPCs than in AMs, while no significant difference was found in sex, age, conventional MRI features or any other histogram parameters between the two entities ( P = 0.051−1.000). ADCmin showed the best diagnostic performance (area under curve [AUC], 0.86; sensitivity, 81.3%; specificity, 83.3%) in differentiating SFT/HPC from AM with optimal cutoff value being 569.00 × 10 −6 mm 2 /s, followed by ADC5 (AUC, 0.72; sensitivity, 68.8%; specificity, 75%) with optimal cutoff value being 781.97 × 10 −6 mm 2 /s. Conclusion: SFT/HPC and AM share similar conventional MR appearances. Whole-tumor histogram analysis of ADC maps may be a useful tool for differential diagnosis, with ADCmin and ADC5 being potential parameters.