Gonen Oded, Moriarty David M, Li Belinda S Y, Babb James S, He Juan, Listerud John, Jacobs Dina, Markowitz Clyde E, Grossman Robert I
Department of Radiology, New York University School of Medicine, 560 First Ave, New York, NY 10016, USA.
Radiology. 2002 Oct;225(1):261-8. doi: 10.1148/radiol.2243011260.
To quantify the rate of concentration decline of neuronal marker N-acetylaspartate (NAA) in the entire brain of patients with relapsing-remitting multiple sclerosis (MS) in relation to healthy age-matched control subjects.
Whole-brain NAA (WBNAA) concentration was quantified in 49 patients with relapsing-remitting MS by using magnetic resonance (MR) imaging and proton MR spectroscopy. It was statistically analyzed by using Spearman rank correlation coefficients to test the intragroup relationship between WBNAA and Expanded Disability Status Scale (EDSS) score and Mann-Whitney analyses to test for differences between subgroups' EDSS scores versus previously published WBNAA values for healthy subjects, disease duration, and age.
Analyses indicated three subgroups of WBNAA dynamics: Ten patients' conditions were "stable," exhibiting an insignificant change of about 0% (0.02/14.37) per year of clinically definite disease duration (P =.54); 27 patients showed "moderate" decline, -2.8% (-0.34/12.18) per year (P <.01); and 12 patients experienced "rapid" decline, -27.9% (-3.39/12.14) per year (P <.01). No correlation was found between WBNAA deficit, EDSS score, and age.
Ascertaining an individual's NAA concentration dynamics might enable early forecast of disease course, reflect disease severity and thus influence treatment decisions, and improve clinical trial efficiency by allowing selection of candidates on the basis of WBNAA dynamics in addition to clinical status.
量化复发缓解型多发性硬化症(MS)患者全脑神经元标志物N-乙酰天门冬氨酸(NAA)浓度下降率,并与年龄匹配的健康对照者进行比较。
采用磁共振成像和质子磁共振波谱对49例复发缓解型MS患者的全脑NAA(WBNAA)浓度进行量化。通过Spearman等级相关系数对WBNAA与扩展残疾状态量表(EDSS)评分之间的组内关系进行统计学分析,采用Mann-Whitney分析检验亚组EDSS评分与先前发表的健康受试者WBNAA值、疾病持续时间和年龄之间的差异。
分析表明WBNAA动态变化存在三个亚组:10例患者病情“稳定”,临床确诊疾病持续时间每年变化约0%(0.02/14.37),差异无统计学意义(P = 0.54);27例患者呈“中度”下降,每年下降-2.8%(-0.34/12.18)(P < 0.01);12例患者呈“快速”下降,每年下降-27.9%(-3.39/12.14)(P < 0.01)。未发现WBNAA缺乏、EDSS评分与年龄之间存在相关性。
确定个体的NAA浓度动态变化可能有助于早期预测疾病进程,反映疾病严重程度,从而影响治疗决策,并通过在临床状态之外根据WBNAA动态变化选择受试者来提高临床试验效率。