Literature DB >> 29244617

Differentiation of High-Grade from Low-Grade Astrocytoma: Improvement in Diagnostic Accuracy and Reliability of Pharmacokinetic Parameters from DCE MR Imaging by Using Arterial Input Functions Obtained from DSC MR Imaging.

Sung-Hye You1, Seung Hong Choi1, Tae Min Kim1, Chul-Kee Park1, Sung-Hye Park1, Jae-Kyung Won1, Il Han Kim1, Soon Tae Lee1, Hye Jeong Choi1, Roh-Eul Yoo1, Koung Mi Kang1, Tae Jin Yun1, Ji-Hoon Kim1, Chul-Ho Sohn1.   

Abstract

Purpose To evaluate whether arterial input functions (AIFs) derived from dynamic susceptibility-contrast (DSC) magnetic resonance (MR) imaging, or AIFDSC values, improve diagnostic accuracy and reliability of the pharmacokinetic (PK) parameters of dynamic contrast material-enhanced (DCE) MR imaging for differentiating high-grade from low-grade astrocytomas, compared with AIFs obtained from DCE MR imaging (AIFDCE). Materials and Methods This retrospective study included 226 patients (138 men, 88 women; mean age, 52.27 years ± 15.17; range, 24-84 years) with pathologically confirmed astrocytomas (World Health Organization grade II = 21, III = 53, IV = 152; isocitrate dehydrogenase mutant, 11.95% [27 of 226]; 1p19q codeletion 0% [0 of 226]). All patients underwent both DSC and DCE MR imaging before surgery, and AIFDSC and AIFDCE were obtained from each image. Volume transfer constant (Ktrans), volume of vascular plasma space (vp), and volume of extravascular extracellular space (ve) were processed by using postprocessing software with two AIFs. The diagnostic accuracies of individual parameters were compared by using receiver operating characteristic curve (ROC) analysis. Intraclass correlation coefficients (ICCs) and the Bland-Altman method were used to assess reliability. Results The AIFDSC-driven mean Ktrans and ve were more accurate for differentiating high-grade from low-grade astrocytoma than those derived by using AIFDCE (area under the ROC curve: mean Ktrans, 0.796 vs 0.645, P = .038; mean ve, 0.794 vs 0.658, P = .020). All three parameters had better ICCs with AIFDSC than with AIFDCE (Ktrans, 0.737 vs 0.095; vp, 0.848 vs 0.728; ve, 0.875 vs 0.581, respectively). In AIF analysis, maximal signal intensity (0.837 vs 0.524) and wash-in slope (0.800 vs 0.432) demonstrated better ICCs with AIFDSC than AIFDCE. Conclusion AIFDSC-driven DCE MR imaging PK parameters showed better diagnostic accuracy and reliability for differentiating high-grade from low-grade astrocytoma than those derived from AIFDCE. © RSNA, 2017 Online supplemental material is available for this article.

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Year:  2017        PMID: 29244617     DOI: 10.1148/radiol.2017170764

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  6 in total

1.  Non-invasive tumor decoding and phenotyping of cerebral gliomas utilizing multiparametric 18F-FET PET-MRI and MR Fingerprinting.

Authors:  Johannes Haubold; Aydin Demircioglu; Marcel Gratz; Martin Glas; Karsten Wrede; Ulrich Sure; Gerald Antoch; Kathy Keyvani; Mathias Nittka; Stephan Kannengiesser; Vikas Gulani; Mark Griswold; Ken Herrmann; Michael Forsting; Felix Nensa; Lale Umutlu
Journal:  Eur J Nucl Med Mol Imaging       Date:  2019-12-06       Impact factor: 9.236

2.  Differentiation between glioblastoma and primary CNS lymphoma: application of DCE-MRI parameters based on arterial input function obtained from DSC-MRI.

Authors:  Koung Mi Kang; Seung Hong Choi; Park Chul-Kee; Tae Min Kim; Sung-Hye Park; Joo Ho Lee; Soon-Tae Lee; Inpyeong Hwang; Roh-Eul Yoo; Tae Jin Yun; Ji-Hoon Kim; Chul-Ho Sohn
Journal:  Eur Radiol       Date:  2021-05-18       Impact factor: 5.315

3.  Intra-tumoral susceptibility signal: a post-processing technique for objective grading of astrocytoma with susceptibility-weighted imaging.

Authors:  Tzu-Chao Chuang; Yen-Lin Chen; Wan-Pin Shui; Hsiao-Wen Chung; Shu-Shong Hsu; Ping-Hong Lai
Journal:  Quant Imaging Med Surg       Date:  2022-01

4.  Assessing the reproducibility of high temporal and spatial resolution dynamic contrast-enhanced magnetic resonance imaging in patients with gliomas.

Authors:  Woo Hyeon Lim; Joon Sik Park; Jaeseok Park; Seung Hong Choi
Journal:  Sci Rep       Date:  2021-12-01       Impact factor: 4.379

5.  Quantitative Dynamic-Enhanced MRI and Intravoxel Incoherent Motion Diffusion-Weighted Imaging for Prediction of the Pathological Response to Neoadjuvant Chemotherapy and the Prognosis in Locally Advanced Gastric Cancer.

Authors:  Yongjian Zhu; Zhichao Jiang; Bingzhi Wang; Ying Li; Jun Jiang; Yuxin Zhong; Sicong Wang; Liming Jiang
Journal:  Front Oncol       Date:  2022-03-29       Impact factor: 6.244

6.  CNS Lymphoma: Clinical Pearls and Management Considerations.

Authors:  Michelot Michel; Noelle Lucke-Wold; Mohammad Reza Hosseini; Eric Panther; Ramya Reddy; Brandon Lucke-Wold
Journal:  Biomed Res Clin Rev       Date:  2022-06-27
  6 in total

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