Surov Alexey, Gottschling Sebastian, Mawrin Christian, Prell Julian, Spielmann Rolf Peter, Wienke Andreas, Fiedler Eckhard
Department of Radiology, Martin-Luther-University Halle-Wittenberg, Ernst-Grube-Str. 40, 06097 Halle.
Department of Neuropathology, Otto-von-Guericke-University Magdeburg, Leipziger Str. 44, 39120 Magdeburg.
Transl Oncol. 2015 Dec;8(6):517-23. doi: 10.1016/j.tranon.2015.11.012.
To analyze diffusion-weighted imaging (DWI) findings of meningiomas and to compare them with tumor grade, cell count, and proliferation index and to test a possibility of use of apparent diffusion coefficient (ADC) to differentiate benign from atypical/malignant tumors.
Forty-nine meningiomas were analyzed. DWI was done using a multislice single-shot echo-planar imaging sequence. A polygonal region of interest was drawn on ADC maps around the margin of the lesion. In all lesions, minimal ADC values (ADCmin) and mean ADC values (ADCmean) were estimated. Normalized ADC (NADC) was calculated in every case as a ratio ADCmean meningioma/ADCmean white matter. All meningiomas were surgically resected and analyzed histopathologically. The tumor proliferation index was estimated on Ki-67 antigen-stained specimens. Cell density was calculated. Collected data were evaluated by means of descriptive statistics. Analyses of ADC/NADC values were performed by means of two-sided t tests.
The mean ADCmean value was higher in grade I meningiomas in comparison to grade II/III tumors (0.96 vs 0.80 × 10(-3) mm(2)s(-1), P = .006). Grade II/III meningiomas showed lower NADC values in comparison to grade I tumors (1.05 vs 1.26, P = .015). There was no significant difference in ADCmin values between grade I and II/III tumors (0.69 vs 0.63 × 10(-3) mm(2)s(-1), P = .539). The estimated cell count varied from 486 to 2091 (mean value, 1158.20 ± 333.74; median value, 1108). There were no significant differences in cell count between grade I and grade II/III tumors (1163.93 vs 1123.86 cells, P = .77). The mean level of the proliferation index was 4.78 ± 5.08%, the range was 1% to 18%, and the median value was 2%. The proliferation index was statistically significant higher in grade II/III meningiomas in comparison to grade I tumors (15.43% vs 3.00%, P = .001). Ki-67 was negatively associated with ADCmean (r = -0.61, P < .001) and NADC (r = -0.60, P < .001). No significant correlations between cell count and ADCmean (r = -0.20, P = .164) or NADC (r = -0.25, P = .079) were found. ADCmin correlated statistically significant with cell count (r = -0.44, P = .002) but not with Ki-67 (r = -0.22, P = .129). Furthermore, the association between ADCmin and cell count was stronger in grade II/III tumors (r = -0.79, P = .036) versus grade I meningiomas (r = -0.41, P = .008). An ADCmean value of less than 0.85 × 10(-3) mm(2)s(-1) was determined as the threshold in differentiating between grade I and grade II/III meningiomas (sensitivity 72.9%, specificity 73.1%, accuracy 73.0%). The positive and negative predictive values were 33.3% and 96.8%, respectively. The same threshold ADCmean value was used in differentiating between tumors with Ki-67 level ≥5% and meningiomas with low proliferation index (Ki-67 <5%). This threshold yielded a sensitivity of 70.6%, a specificity of 81.2%, and an accuracy of 77.6%. The positive and negative predictive values were 66.6% and 83.9%, respectively.
Grade II/III tumors had lower ADCmean values than grade I meningiomas. ADCmean correlated negatively with tumor proliferation index and ADCmin with tumor cell count. These associations were different in several meningiomas. ADCmean can be used for distinguishing between benign and atypical/malignant tumors.
分析脑膜瘤的扩散加权成像(DWI)表现,并将其与肿瘤分级、细胞计数和增殖指数进行比较,以检验使用表观扩散系数(ADC)区分良性与非典型/恶性肿瘤的可能性。
对49例脑膜瘤进行分析。采用多层单次激发回波平面成像序列进行DWI检查。在ADC图上于病变边缘周围绘制多边形感兴趣区。在所有病变中,估计最小ADC值(ADCmin)和平均ADC值(ADCmean)。计算每个病例的标准化ADC(NADC),即ADCmean脑膜瘤/ADCmean白质的比值。所有脑膜瘤均行手术切除并进行组织病理学分析。在Ki-67抗原染色标本上估计肿瘤增殖指数。计算细胞密度。收集的数据采用描述性统计方法进行评估。通过双侧t检验对ADC/NADC值进行分析。
I级脑膜瘤的平均ADCmean值高于II/III级肿瘤(0.96 vs 0.80×10⁻³mm²/s,P = 0.006)。与I级肿瘤相比,II/III级脑膜瘤的NADC值较低(1.05 vs 1.26,P = 0.015)。I级和II/III级肿瘤的ADCmin值无显著差异(0.69 vs 0.63×10⁻³mm²/s,P = 0.539)。估计的细胞计数在486至2091之间(平均值,1158.20±333.74;中位数,1108)。I级和II/III级肿瘤的细胞计数无显著差异(1163.93 vs 1123.86个细胞,P = 0.77)。增殖指数的平均水平为4.78±5.08%,范围为1%至18%,中位数为2%。与I级肿瘤相比,II/III级脑膜瘤的增殖指数在统计学上显著更高(15.43% vs 3.00%,P = 0.001)。Ki-67与ADCmean呈负相关(r = -0.61,P < 0.001),与NADC呈负相关(r = -0.60,P < 0.001)。未发现细胞计数与ADCmean(r = -0.20,P = 0.164)或NADC(r = -0.25,P = 0.079)之间存在显著相关性。ADCmin与细胞计数在统计学上显著相关(r = -0.44,P = 0.002),但与Ki-67无关(r = -0.22,P = 0.129)。此外,II/III级肿瘤中ADCmin与细胞计数之间的关联强于I级脑膜瘤(r = -0.79,P = 0.036 vs r = -0.41,P = 0.008)。将ADCmean值小于0.85×10⁻³mm²/s确定为区分I级和II/III级脑膜瘤的阈值(敏感性72.9%,特异性73.1%,准确性73.0%)。阳性和阴性预测值分别为33.3%和96.8%。使用相同的ADCmean阈值区分Ki-67水平≥5%的肿瘤与增殖指数低(Ki-67 <5%)的脑膜瘤。该阈值的敏感性为70.6%,特异性为81.2%,准确性为77.6%。阳性和阴性预测值分别为66.6%和83.9%。
II/III级肿瘤的ADCmean值低于I级脑膜瘤。ADCmean与肿瘤增殖指数呈负相关,ADCmin与肿瘤细胞计数呈负相关。这些关联在几种脑膜瘤中有所不同。ADCmean可用于区分良性与非典型/恶性肿瘤。