王玮玮,陈思敏,王奕阳,林丹桂,熊 杰,隆双武,刘昌华.磁共振动态对比增强联合血清TSGF、ICTP、ALP对骨肿瘤良恶性鉴别和骨恶性肿瘤治疗后的疗效评估价值[J].,2023,(23):4516-4520 |
磁共振动态对比增强联合血清TSGF、ICTP、ALP对骨肿瘤良恶性鉴别和骨恶性肿瘤治疗后的疗效评估价值 |
Value of Dynamic Contrast-enhanced Magnetic Resonance Imaging Combined with Serum TSGF, ICTP and ALP in the Identification of Benign and Malignant Bone Tumors and the Efficacy Evaluation of Bone Malignant Tumors after Treatment |
投稿时间:2023-05-20 修订日期:2023-06-16 |
DOI:10.13241/j.cnki.pmb.2023.23.023 |
中文关键词: 骨肿瘤 磁共振动态对比增强 肿瘤相关物质 I型胶原羧基吡啶末端肽 碱性磷酸酶 鉴别 疗效评估 |
英文关键词: Bone tumor Dynamic contrast-enhanced magnetic resonance imaging Tumor supplied group of factors Type I collagen carboxyl pyridine terminal peptide Alkaline phosphatase Identification Efficacy evaluation |
基金项目:福建省自然科学基金项目(2018J05247) |
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中文摘要: |
摘要 目的:探讨磁共振动态对比增强(DCE-MRI)联合血清肿瘤相关物质(TSGF)、I型胶原羧基吡啶末端肽(ICTP)、碱性磷酸酶(ALP)对骨肿瘤良恶性鉴别和骨恶性肿瘤治疗后的疗效评估价值。方法:选择2020年12月至2022年4月本院收治的骨肿瘤患者163例为研究对象,根据骨肿瘤良恶性分为良性组(74例)和恶性组(89例),恶性组治疗后根据实体肿瘤疗效评价标准分为疗效良好组和疗效不良组,比较良性组与恶性组、疗效良好组与疗效不良组容量运转常数(Ktrans)、速率常数(Kep)、血管外细胞外间隙容积分数(Ve)及1分钟内初始曲线下面积(iAUC)、TSGF、ICTP、ALP,分析Ktrans、Kep、Ve、iAUC与血清TSGF、ICTP、ALP的相关性,采用受试者工作特征(ROC)曲线分析各指标对骨肿瘤良恶性的预测价值。结果:不同组间Ktrans、Kep、iAUC、TSGF、ICTP、ALP比较,良性组低于恶性组(P<0.05),疗效良好组低于疗效不良组(P<0.05);DCE-MRI定量参数中的Ktrans、Kep、iAUC与血清TSGF、ICTP、ALP呈正相关(P<0.05);Ktrans、Kep、iAUC、TSGF、ICTP、ALP及联合预测骨肿瘤良恶性的曲线下面积(AUC)分别为0.794、0.804、0.744、0.747、0.773、0.828和0.986,各项指标联合预测骨肿瘤良恶性的AUC大于各指标单独预测。结论:DCE-MRI定量参数Ktrans、Kep、iAUC联合血清TSGF、ICTP、ALP对骨肿瘤良恶性具有较高的鉴别价值,此外Ktrans、Kep、iAUC、TSGF、ICTP、ALP越高,恶性骨肿瘤患者治疗后的临床疗效越差。 |
英文摘要: |
ABSTRACT Objective: To explore the value of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) combined with serum tumor supplied group of factors (TSGF), type I collagen carboxyl pyridine terminal peptide (ICTP) and alkaline phosphatase (ALP) in the identification of benign and malignant bone tumors and the efficacy evaluation of bone malignant tumors after treatment. Methods: 163 patients with bone tumors who were admitted to our hospital from December 2020 to April 2022 were selected as research subjects, and patients were divided into benign group (74 cases) and malignant group (89 cases) according to the benign and malignant bone tumors. Malignant group was divided into good efficacy group and poor efficacy group according to the evaluation criteria of solid tumor efficacy after treatment. The volume transfer constant (Ktrans), rate constant (Kep), extravascular extracellular space volume fraction (Ve), area under initial curve within 1 minute (iAUC), TSGF, ICTP and ALP were compared between benign group and malignant group, good efficacy group and poor efficacy group. The correlation between Ktrans, Kep, Ve, iAUC and serum TSGF, ICTP, ALP was analyzed. The predictive value of each index for benign and malignant bone tumors were analyzed by receiver operating characteristic (ROC) curve. Results: Ktrans, Kep, iAUC, TSGF, ICTP and ALP were compared between different groups, benign group was lower than that of malignant group (P<0.05), good efficacy group was lower than that of poor efficacy group (P<0.05); Ktrans, Kep and iAUC in DCE-MRI quantitative parameters were positively correlated with serum TSGF, ICTP and ALP (P<0.05). The area under the curve (AUC) of Ktrans, Kep, iAUC, TSGF, ICTP, ALP and combined prediction of benign and malignant bone tumors were 0.794, 0.804, 0.744, 0.747, 0.773, 0.828 and 0.986 respectively, and the AUC of the combined prediction of benign and malignant bone tumors was greater than that of each index alone. Conclusion: DCE-MRI quantitative parameters Ktrans, Kep, iAUC combine with serum TSGF, ICTP and ALP have high value in differentiating benign and malignant bone tumors, the higher the Ktrans, Kep, iAUC, TSGF, ICTP, and ALP, the worse the clinical efficacy of patients with malignant bone tumors after treatment. |
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