DCE-MRI in Human Gliomas

Xie, Qian; Wu, Juan; Du, Zunguo; Di, Ningning; Ren, Yan; Pang, Haopeng; Jin, Teng; Hua, Zhang; Wu, Yue; Zhang, Yong; Yao, Zhenwei; Feng, Xiaoyuan

doi:10.1016/j.acra.2018.04.015

Cited by 11 publications

(11 citation statements)

References 29 publications

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“…Few studies have correlated DCE parameters to measures of tumor oxygenation levels such as HIF-1α. In gliomas, there seems to be a positive correlation between HIF-1α and DCE perfusion parameters [29–31], and other studies an inverse correlation has been reported [25,32]. We hypothesized that DCE-MRI could provide a noninvasive tool for the identification of tumor hypoxia also in ovarian cancer.…”

Section: Introductionmentioning

confidence: 83%

“…In gliomas, Xie et al showed that HIF-1α was correlated positively with K trans and V e values [29]. These investigators used stereotactic biopsies for histopathological samples, to minimize the mismatch of measurements.…”

Section: Discussionmentioning

confidence: 99%

“…In glioma studies, the expression of HIF-1α has been correlated positively with tumor grade [29,30], which is a strong prognostic factor for survival in gliomas. In the present study of patients with OC, we observed no correlation of HIF-1α expression with either clinical prognostic factors or grade.…”

Section: Discussionmentioning

confidence: 99%

“…A total of 38 patients was enrolled. Power calculations were not performed prospectively because no prior knowledge of the DCE parameters and HIF in OC existed, and in other cancers preliminary studies have been conducted with similar size [25,29,31,33]. The inclusion criteria included a clinical diagnosis of primary OC, primary fallopian tube cancer or primary peritoneal carcinoma, as they are diagnosed and treated as one entity and measurable disease at staging computed tomography (CT).…”

Section: Methodsmentioning

confidence: 99%

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Dynamic contrast-enhanced perfusion parameters in ovarian cancer: Good accuracy in identifying high HIF-1α expression

et al. 2019

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Background Hypoxia significantly influences treatment response and clinical outcome in solid tumors. A noninvasive marker for hypoxia will help physicians in treatment planning and encourage the efficient use of hypoxia targeted therapies. The purpose of this study was to investigate whether pharmacokinetic dynamic contrast-enhanced (DCE) perfusion parameters are associated with a specific marker of hypoxia, hypoxia-inducible factor 1 alpha (HIF-1α) in ovarian cancer (OC). Materials and methods Thirty-eight patients with primary OC were enrolled in this prospective study approved by the local ethical committee. Patients underwent dynamic gadolinium-enhanced 3.0 T MRI as part of their staging investigations. Pharmacokinetic perfusion parameters, including a rate constant for transfer of contrast agent from plasma to extravascular extracellular space (EES) (K trans ) and a rate constant from EES to plasma (K ep ), were measured by drawing two types of regions of interest (ROIs): a large solid lesion (L-ROI) and a solid, most enhancing small area (S-ROI) (NordicICE platform). Tissue samples for immunohistochemical analysis were collected during surgery. Kruskal–Wallis, Mann–Whitney U and Chi-square tests were used in statistical analyses. Receiver Operating Characteristic curve analyzes were done for DCE parameters to discriminate high HIF-1α expression. Results Pharmacokinetic perfusion parameters K trans and K ep were inversely associated with HIF-1α expression (K trans L-ROI P = 0.021; K trans S-ROI P = 0.018 and K ep L-ROI P = 0.032; K ep S-ROI P = 0.033). K trans and K ep showed good accuracy in identifying high HIF-1α expression (AUC = 0.832 K trans L-ROI; 0.840 K trans S-ROI; 0.808 K ep L-ROI and 0.808 K ep L-ROI). Conclusion This preliminary study demonstrated that pharmacokinetic DCE-MRI perfusion parameters are associated with the hypoxia specific marker, HIF-1α in OC. DCE-MRI may be a useful supplementary tool in the characterization of OC tumors in a staging investigation.

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Section: Introductionmentioning

confidence: 83%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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Dynamic contrast-enhanced perfusion parameters in ovarian cancer: Good accuracy in identifying high HIF-1α expression

et al. 2019

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“…By intraoperative MR (iMR)-navigated stereotactic biopsy, 10 the tumor samples for histopathologic examination can accurately match with the imaging features. 11 Compared with WHO grades I and IV gliomas having specific image characteristics, it is always difficult to distinguish gliomas of grade II from grade III only depending on the visual judgment of tumor images. Encouragingly, textural analysis has shown its huge potential to noninvasively quantify tumor macroscopic characteristic related to microscopic heterogeneity.…”

mentioning

confidence: 99%

Association Between Histopathology and Magnetic Resonance Imaging Texture in Grading Gliomas Based on Intraoperative Magnetic Resonance Navigated Stereotactic Biopsy

Rui

Pang²,

Xie³

et al. 2021

J Comput Assist Tomogr

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Objective: To explore the value of magnetic resonance imaging (MRI) textures and its correlation with histopathological malignancy of gliomas by magnetic resonance (MR) navigated stereotactic biopsy.Methods: A total of 36 diffuse glioma cases and 64 puncture targets were included. All patients underwent a preoperative MR scan and intraoperative MR-navigated stereotactic biopsy. The histopathological diagnosis was grade II or grade III diffuse glioma. Regions of interest consistent with puncture targets were delineated on T1-weighted brain volume with gadolinium contrast enhancement images, and textures were extracted using Omni Kinetics software. Mann-Whitney rank sum test was used to analyze texture differences between grade II and grade III samples. False discovery rate (FDR) correction was applied to correct for multiple comparisons. Receiver operating characteristic curves evaluated the diagnostic value of textural analysis for grading gliomas. Correlation between MRI textures and histopathology was examined by Spearman correlation test.Results: Texture features, including max intensity, 95th quantile, range, variance, standard deviation, sum variance, and cluster prominence were higher in grade III glioma targets than grade IIs, grade II gliomas showed increased uniformity and short run low gray-level emphasis values (P and qFDR corr < 0.05). Area under the curve was 0.887 (95% confidence interval, 0.805-0.969; P < 0.001) with combined textures in glioma grading. The listed first-order and gray-level cooccurrence matrix textures were correlated with Ki-67 labeling index. Gray-level cooccurrence matrix and gray-level run length matrix textures were correlated with isocitrate dehydrogenase 1 mutation.Conclusions: Textures on T1-weighted brain volume with gadolinium contrast enhancement images differ between grade III and II gliomas and are correlated with Ki-67 labeling index and isocitrate dehydrogenase 1 mutation.

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Whole-tumor histogram analysis of diffusion-weighted imaging and dynamic contrast-enhanced MRI for soft tissue sarcoma: correlation with HIF-1alpha expression

Xie

et al. 2022

Eur Radiol

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DCE-MRI in Human Gliomas

Cited by 11 publications

References 29 publications

Dynamic contrast-enhanced perfusion parameters in ovarian cancer: Good accuracy in identifying high HIF-1α expression

Dynamic contrast-enhanced perfusion parameters in ovarian cancer: Good accuracy in identifying high HIF-1α expression

Association Between Histopathology and Magnetic Resonance Imaging Texture in Grading Gliomas Based on Intraoperative Magnetic Resonance Navigated Stereotactic Biopsy

Whole-tumor histogram analysis of diffusion-weighted imaging and dynamic contrast-enhanced MRI for soft tissue sarcoma: correlation with HIF-1alpha expression

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