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Abstract：
OBJECTIVE: To investigate the correlation between MRI findings and histological features for preoperative prediction of histological grading and Ki-67 expression level in alveolar soft part sarcoma (ASPS).
METHODS: A retrospective analysis was conducted on 63 ASPS patients (Jan 2017-May 2023). All patients underwent 3.0-T MRI examinations, including conventional sequences, dynamic contrast-enhanced scans with time-intensity curve analysis, and diffusion-weighted imaging with apparent diffusion coefficient (ADC) measurements. Patients were divided into low-grade (histological Grade I) and high-grade (histological Grade II/III) groups based on pathology. Immunohistochemistry was used to assess Ki-67 expression levels in ASPS. Statistical analysis included chi-square tests, Wilcoxon rank-sum test, binary logistic regression analysis, Spearman correlation analysis, and receiver operating characteristic curve analysis of various observational data.
RESULTS: There were 29 low-grade and 34 high-grade patients (26 males and 37 females) and a wide age range (5-68 years). Distant metastasis, tumor enhancement characteristics, and ADC values were independent predictors of high-grade ASPS. High-grade ASPS had lower ADC values (p = 0.002), with an area under the curve (AUC), sensitivity, and specificity of 0.723, 79.4%, and 58.6%, respectively, for high-grade prediction. There was a negative correlation between ADC values and Ki-67 expression (r = -0.526; p < 0.001). When the cut-off value of ADC was 0.997 × 10-3 mm²/s, the AUC, sensitivity, and specificity for predicting high Ki-67 expression were 0.805, 65.6%, and 83.9%, respectively.
CONCLUSIONS: Qualitative and quantitative MRI parameters are valuable for predicting histological grading and Ki-67 expression levels in ASPS.
UNASSIGNED: This study will help provide a more nuanced understanding of ASPS and guide personalized treatment strategies.
CONCLUSIONS: There is limited research on assessing ASPS prognosis through MRI. Metastasis, enhancement, and ADC correlated with histological grade; ADC related to Ki-67 expression. MRI provides clinicians with valuable information on ASPS grading and proliferation activity.
METHODS: A retrospective analysis was conducted on 63 ASPS patients (Jan 2017-May 2023). All patients underwent 3.0-T MRI examinations, including conventional sequences, dynamic contrast-enhanced scans with time-intensity curve analysis, and diffusion-weighted imaging with apparent diffusion coefficient (ADC) measurements. Patients were divided into low-grade (histological Grade I) and high-grade (histological Grade II/III) groups based on pathology. Immunohistochemistry was used to assess Ki-67 expression levels in ASPS. Statistical analysis included chi-square tests, Wilcoxon rank-sum test, binary logistic regression analysis, Spearman correlation analysis, and receiver operating characteristic curve analysis of various observational data.
RESULTS: There were 29 low-grade and 34 high-grade patients (26 males and 37 females) and a wide age range (5-68 years). Distant metastasis, tumor enhancement characteristics, and ADC values were independent predictors of high-grade ASPS. High-grade ASPS had lower ADC values (p = 0.002), with an area under the curve (AUC), sensitivity, and specificity of 0.723, 79.4%, and 58.6%, respectively, for high-grade prediction. There was a negative correlation between ADC values and Ki-67 expression (r = -0.526; p < 0.001). When the cut-off value of ADC was 0.997 × 10-3 mm²/s, the AUC, sensitivity, and specificity for predicting high Ki-67 expression were 0.805, 65.6%, and 83.9%, respectively.
CONCLUSIONS: Qualitative and quantitative MRI parameters are valuable for predicting histological grading and Ki-67 expression levels in ASPS.
UNASSIGNED: This study will help provide a more nuanced understanding of ASPS and guide personalized treatment strategies.
CONCLUSIONS: There is limited research on assessing ASPS prognosis through MRI. Metastasis, enhancement, and ADC correlated with histological grade; ADC related to Ki-67 expression. MRI provides clinicians with valuable information on ASPS grading and proliferation activity.
摘要：
目的：探讨MRI表现与组织学特征的相关性，以术前预测肺泡软组织肉瘤（ASPS）的组织学分级和Ki-67表达水平。
方法：对63例ASPS患者（2017年1月至2023年5月）进行回顾性分析。所有患者均行3.0TMRI检查,包括常规序列，动态对比增强扫描与时间-强度曲线分析，和具有表观扩散系数（ADC）测量的扩散加权成像。根据病理将患者分为低级别（组织学I级）和高级别（组织学II/III级）组。免疫组织化学用于评估ASPS中Ki-67的表达水平。统计分析包括卡方检验，Wilcoxon秩和检验,二元逻辑回归分析，Spearman相关分析,和各种观测数据的接收器工作特性曲线分析。
结果：有29名低年级和34名高级别患者（男性26名，女性37名），年龄范围很广（5-68岁）。远处转移，肿瘤增强特征，和ADC值是高级ASPS的独立预测因子。高级ASPS具有较低的ADC值（p=0.002），曲线下面积（AUC），灵敏度,特异性为0.723，79.4%，和58.6%，分别,用于高等级预测。ADC值与Ki-67表达呈负相关(r=-0.526;p<0.001)。当ADC的截止值为0.997×10-3mm²/s时，AUC,灵敏度,预测Ki-67高表达的特异性分别为0.805、65.6%,和83.9%，分别。
结论：定性和定量MRI参数对于预测ASPS的组织学分级和Ki-67表达水平是有价值的。
■这项研究将有助于提供对ASPS的更细致入微的理解，并指导个性化的治疗策略。
结论：通过MRI评估ASPS预后的研究有限。转移,增强,ADC与组织学分级相关；ADC与Ki-67表达相关。MRI为临床医生提供关于ASPS分级和增殖活性的有价值的信息。
方法：对63例ASPS患者（2017年1月至2023年5月）进行回顾性分析。所有患者均行3.0TMRI检查,包括常规序列，动态对比增强扫描与时间-强度曲线分析，和具有表观扩散系数（ADC）测量的扩散加权成像。根据病理将患者分为低级别（组织学I级）和高级别（组织学II/III级）组。免疫组织化学用于评估ASPS中Ki-67的表达水平。统计分析包括卡方检验，Wilcoxon秩和检验,二元逻辑回归分析，Spearman相关分析,和各种观测数据的接收器工作特性曲线分析。
结果：有29名低年级和34名高级别患者（男性26名，女性37名），年龄范围很广（5-68岁）。远处转移，肿瘤增强特征，和ADC值是高级ASPS的独立预测因子。高级ASPS具有较低的ADC值（p=0.002），曲线下面积（AUC），灵敏度,特异性为0.723，79.4%，和58.6%，分别,用于高等级预测。ADC值与Ki-67表达呈负相关(r=-0.526;p<0.001)。当ADC的截止值为0.997×10-3mm²/s时，AUC,灵敏度,预测Ki-67高表达的特异性分别为0.805、65.6%,和83.9%，分别。
结论：定性和定量MRI参数对于预测ASPS的组织学分级和Ki-67表达水平是有价值的。
■这项研究将有助于提供对ASPS的更细致入微的理解，并指导个性化的治疗策略。
结论：通过MRI评估ASPS预后的研究有限。转移,增强,ADC与组织学分级相关；ADC与Ki-67表达相关。MRI为临床医生提供关于ASPS分级和增殖活性的有价值的信息。
