IF 2.9 3区 医学 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Chen-Xi Ni, Ruo-Lan Lin, Dian-Qi Yao, Fu-Zhao Ma, Yu-Ting Shi, Ying-Ying He, Yang Song, Guang Yang, Ri-Feng Jiang, Yì Xiáng J Wáng
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引用次数: 0

摘要

背景:确定异柠檬酸脱氢酶(IDH)突变对胶质瘤的临床治疗至关重要。磁共振弥散衍生 "血管密度"(DDVD)可对肿瘤微环境进行无创组织灌注评估。本研究试图利用整个肿瘤实质及其生境中的 DDVD 来区分弥漫性胶质瘤的 IDH 基因型:本研究共招募了 63 例弥漫性胶质瘤患者(30 例 IDH 突变型和 33 例 IDH 野生型),他们都在 3T 下接受了弥散加权(DW)成像。DDVDb0b10 是 b = 0 和 b = 10 s/mm2 DW 图像之间的信号差。DDVDb0b10_b10b20 是 DDVDb0b10 减去 DDVDb10b20。nDDVD 是 DDVD 除以 b = 0 s/mm2 DW 图像的信号强度。研究了DDVD指标/体外不连贯运动(IVIM)成像指标(D和f)与IDH基因型/Ki-67状态之间的相关性:在肿瘤实质中,DDVDb0b10_b10b20和nDDVDb0b10_b10b20较低,而在IDH突变胶质瘤中,D较高[中位数(四分位间范围):12.76(9.79-14.00)]:12.76 (9.79-14.60);15.14 (11.61-19.29);1.31 (1.19-1.39)]与 IDH 野生型胶质瘤相比[14.48 (2.93-18.60),p = 0.008;20.55 (15.89-24.02),p b0b10_b10b20 源自高 DDVDb0b10 值的生境。nDDVDb0b10_b10b20 与 D 的组合模型的诊断效果优于 f 与 D 的组合模型。此外,DDVD和f与Ki-67呈正相关,而D与Ki-67呈负相关(均为p 结论:DDVD作为一种新型的生物标记物,可用于诊断癌症:DDVD作为一种新型的微血管灌注生物标志物,能有效区分胶质瘤中的IDH基因型。生境分析提高了 IDH 基因分型的诊断准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Magnetic resonance diffusion-derived vessel density (DDVD) as a valuable tissue perfusion biomarker for isocitrate dehydrogenase genotyping in diffuse gliomas.

Background: Determining isocitrate dehydrogenase (IDH) mutation is crucial for glioma clinical management. MR diffusion-derived 'vessel density' (DDVD) offers non-invasive tissue perfusion evaluation within the tumor microenvironment. The study attempts to distinguish IDH genotypes of diffuse gliomas using DDVD in whole tumor parenchyma and its habitats.

Methods: This study enrolled 63 patients with diffuse gliomas (30 IDH-mutant and 33 IDH-wildtype) who underwent diffusion-weighted (DW) imaging at 3T. DDVDb0b10 was the signal difference between the b = 0 and b = 10 s/mm2 DW images. DDVDb0b10_b10b20 is DDVDb0b10 minus DDVDb10b20. nDDVD was DDVD divided by signal intensity at b = 0 s/mm2 DW image. Correlations between DDVD metrics/intravoxel incoherent motion (IVIM) imaging metrics (D and f) and IDH genotypes/Ki-67 status were studied.

Results: In tumor parenchyma, DDVDb0b10_b10b20 and nDDVDb0b10_b10b20 were lower, whereas D was higher in IDH-mutant gliomas [median (interquartile range): 12.76 (9.79-14.60); 15.14 (11.61-19.29); 1.31 (1.19-1.39)] compared to IDH-wildtype gliomas [14.48 (2.93-18.60), p = 0.008; 20.55 (15.89-24.02), p < 0.001; 1.16 (0.98-1.27), p = 0.003]. Habitat analysis improved the diagnostic performance for IDH genotyping, with the highest AUC of 0.823 found for the nDDVDb0b10_b10b20 derived from the high DDVDb0b10 value habitat. Diagnostic efficacy of the combined model of nDDVDb0b10_b10b20 with D was superior to that of combined model of f with D. The habitat model incorporating age, sex, and Karnofsky Performance Status further significantly enhanced the diagnostic efficacy, with an AUC reaching 0.979. Additionally, DDVD and f showed a positive correlation with Ki-67, while D exhibited a negative correlation with Ki-67 (all p < 0.05).

Conclusion: DDVD, as a novel biomarker of microvascular perfusion, effectively differentiates IDH genotypes in gliomas. The habitat analysis improves the diagnostic accuracy for IDH genotyping.

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来源期刊
BMC Medical Imaging
BMC Medical Imaging RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING-
CiteScore
4.60
自引率
3.70%
发文量
198
审稿时长
27 weeks
期刊介绍: BMC Medical Imaging is an open access journal publishing original peer-reviewed research articles in the development, evaluation, and use of imaging techniques and image processing tools to diagnose and manage disease.
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