Predicting the consistency of intracranial meningiomas using apparent diffusion coefficient maps derived from preoperative diffusion-weighted imaging

医学 接收机工作特性 有效扩散系数 切断 核医学 磁共振弥散成像 脑膜瘤 开颅术 一致性(知识库) 切除术 放射科 磁共振成像 外科 数学 内科学 物理 量子力学 几何学
作者
Kenya Miyoshi,Tsukasa Wada,Ikuko Uwano,Makoto Sasaki,Hiroaki Saura,Shunrou Fujiwara,Fumiaki Takahashi,Eiki Tsushima,Kuniaki Ogasawara
出处
期刊:Journal of Neurosurgery [American Association of Neurological Surgeons]
卷期号:135 (3): 969-976 被引量:15
标识
DOI:10.3171/2020.6.jns20740
摘要

OBJECTIVE The consistency of meningiomas is a critical factor affecting the difficulty of resection, operative complications, and operative time. The apparent diffusion coefficient (ADC) is derived from diffusion-weighted imaging (DWI) and is calculated using two optimized b values. While the results of comparisons between the standard ADC and the consistency of meningiomas vary, the shifted ADC has been reported to be strongly correlated with liver stiffness. The purpose of the present prospective cohort study was to determine whether preoperative standard and shifted ADC maps predict the consistency of intracranial meningiomas. METHODS Standard (b values 0 and 1000 sec/mm 2 ) and shifted (b values 200 and 1500 sec/mm 2 ) ADC maps were calculated using preoperative DWI in patients undergoing resection of intracranial meningiomas. Regions of interest (ROIs) were placed within the tumor on standard and shifted ADC maps and registered on the navigation system. Tumor tissue located at the registered ROI was resected through craniotomy, and its stiffness was measured using a durometer. The cutoff point lying closest to the upper left corner of a receiver operating characteristic (ROC) curve was determined for the detection of tumor stiffness such that an ultrasonic aspirator or scissors was always required for resection. Each tumor tissue sample with stiffness greater than or equal to or less than this cutoff point was defined as hard or soft tumor, respectively. RESULTS For 76 ROIs obtained from 25 patients studied, significant negative correlations were observed between stiffness and the standard ADC (ρ = −0.465, p < 0.01) and the shifted ADC (ρ = −0.490, p < 0.01). The area under the ROC curve for detecting hard tumor (stiffness ≥ 20.8 kPa) did not differ between the standard ADC (0.820) and the shifted ADC (0.847) (p = 0.39). The positive predictive value (PPV) for the combination of a low standard ADC and a low shifted ADC for detecting hard tumor was 89%. The PPV for the combination of a high standard ADC and a high shifted ADC for detecting soft tumor (stiffness < 20.8 kPa) was 81%. CONCLUSIONS A combination of standard and shifted ADC maps derived from preoperative DWI can be used to predict the consistency of intracranial meningiomas.
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