Preoperative Apparent Diffusion Coefficient Values for Differentiation between Low and High Grade Meningiomas: An Updated Systematic Review and Meta-Analysis.
Yueh-Ting TsaiKuo-Chuan HungYun-Ju ShihSher-Wei LimCheng-Chun YangYu-Ting KuoJeon-Hor ChenChing-Chung KoPublished in: Diagnostics (Basel, Switzerland) (2022)
The meta-analysis aimed to compare the preoperative apparent diffusion coefficient (ADC) values between low-grade meningiomas (LGMs) and high-grade meningiomas (HGMs). Medline, Cochrane, Scopus, and Embase databases were screened up to January 2022 for studies investigating the ADC values of meningiomas. The study endpoint was the reported ADC values for LGMs and HGMs. Further subgroup analyses between 1.5T and 3T MRI scanners, ADC threshold values, ADC in different histological LGMs, and correlation coefficients ( r ) between ADC and Ki-67 were also performed. The quality of studies was evaluated by the quality assessment of diagnostic accuracy studies (QUADAS-2). A χ 2 -based test of homogeneity was performed using Cochran's Q statistic and inconsistency index (I 2 ). Twenty-five studies with a total of 1552 meningiomas (1102 LGMs and 450 HGMs) were included. The mean ADC values (×10 -3 mm 2 /s) were 0.92 and 0.79 for LGMs and HGMs, respectively. Compared with LGMs, significantly lower mean ADC values for HGMs were observed with a pooled difference of 0.13 ( p < 0.00001). The results were consistent in both 1.5T and 3T MRI scanners. For ADC threshold values, pooled sensitivity of 69%, specificity of 82%, and AUC of 0.84 are obtained for differentiation between LGMs and HGMs. The mean ADC (×10 -3 mm 2 /s) in different histological LGMs ranged from 0.87 to 1.22. Correlation coefficients ( r ) of mean ADC and Ki-67 ranged from -0.29 to -0.61. Preoperative ADC values are a useful tool for differentiating between LGMs and HGMs. Results of this study provide valuable information for planning treatments in meningiomas.
Keyphrases
- diffusion weighted imaging
- contrast enhanced
- diffusion weighted
- high grade
- magnetic resonance imaging
- low grade
- systematic review
- case control
- magnetic resonance
- patients undergoing
- randomized controlled trial
- computed tomography
- clinical trial
- squamous cell carcinoma
- radiation therapy
- artificial intelligence
- machine learning
- quality improvement
- study protocol
- rectal cancer
- phase iii
- open label
- functional connectivity