دورية أكاديمية

Diagnostic performance of multiparametric MRI in the evaluation of treatment response in glioma patients at 3T.

التفاصيل البيبلوغرافية
العنوان: Diagnostic performance of multiparametric MRI in the evaluation of treatment response in glioma patients at 3T.
المؤلفون: Liu J; Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, China., Li C; Department of Neurosurgery, Sun Yat-Sen University Cancer Center, Guangzhou, Guangdong, China., Chen Y; Department of Neurosurgery, Sun Yat-Sen University Cancer Center, Guangzhou, Guangdong, China., Lv X; Department of Medical Imaging, Sun Yat-Sen University Cancer Center, Guangzhou, Guangdong, China., Lv Y; Department of Medical Imaging, Sun Yat-Sen University Cancer Center, Guangzhou, Guangdong, China., Zhou J; Department of Medical Imaging, Sun Yat-Sen University Cancer Center, Guangzhou, Guangdong, China., Xi S; Department of Pathology, Sun Yat-Sen University Cancer Center, Guangzhou, Guangdong, China., Dou W; GE Healthcare, Beijing, China., Qian L; GE Healthcare, Beijing, China., Zheng H; Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, China., Wu Y; Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, China., Chen Z; Department of Neurosurgery, Sun Yat-Sen University Cancer Center, Guangzhou, Guangdong, China.
المصدر: Journal of magnetic resonance imaging : JMRI [J Magn Reson Imaging] 2020 Apr; Vol. 51 (4), pp. 1154-1161. Date of Electronic Publication: 2019 Aug 20.
نوع المنشور: Journal Article; Research Support, Non-U.S. Gov't
اللغة: English
بيانات الدورية: Publisher: Wiley-Liss Country of Publication: United States NLM ID: 9105850 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1522-2586 (Electronic) Linking ISSN: 10531807 NLM ISO Abbreviation: J Magn Reson Imaging Subsets: MEDLINE
أسماء مطبوعة: Publication: <2005-> : Hoboken , N.J. : Wiley-Liss
Original Publication: Chicago, IL : Society for Magnetic Resonance Imaging, c1991-
مواضيع طبية MeSH: Brain Neoplasms*/diagnostic imaging , Brain Neoplasms*/therapy , Glioma*/diagnostic imaging , Glioma*/therapy , Multiparametric Magnetic Resonance Imaging*, Diffusion Magnetic Resonance Imaging ; Humans ; Magnetic Resonance Imaging ; Neoplasm Recurrence, Local ; Prospective Studies
مستخلص: Background: MRI is one of the most important techniques to assess the treatment response of gliomas. However, differentiating tumor recurrence (TuR) from treatment effects (TrE) remains challenging.
Purpose: To compare the diagnostic performance of MR diffusion-weighted imaging (DWI), arterial spin labeling (ASL), proton MR spectroscopy (MRS), and amide proton transfer (APT) imaging in differentiating between TuR and TrE in posttreatment glioma patients.
Study Type: Prospective.
Population: Thirty patients with suspected tumor progression.
Field Strength/sequence: DWI, ASL, proton MRS, and APT imaging were performed at 3T MR.
Assessment: MR indices, including ADC, relative cerebral blood flow (rCBF), ratios of Cho/Cr, Cho/NAA, and NAA/Cr and APT-weighted (APTw) effect were obtained from DWI, ASL, proton MRS, and APT imaging, respectively. Indices were measured in the contralateral normal-appearing white matter and lesions defined on the Gd-enhanced T 1 w image. TuR or TrE was either determined histologically or clinically from longitudinal MRI follow-up for at least 6 months.
Statistical Tests: The diagnostic performance of the indices was evaluated using Student's t-test, receiver operating characteristic (ROC) curve, and multivariate logistic regression analyses.
Results: Among the 30 patients, 16 were diagnosed as having TuR and the rest having TrE. The recurrent tumors showed a significantly higher APTw effect (1.56 ± 1.14%) and rCBF (1.44 ± 0.61) compared with lesions representing treatment effects (-0.44 ± 1.34% and 0.72 ± 0.25, respectively, with P < 0.001). The areas under the curve (AUCs) were 0.87 and 0.90 for APTw and rCBF, respectively, in differentiating between TuR and TrE. Combining APTw and rCBF achieved a higher AUC of 0.93. MRS index ratios of Cho/Cr (P = 0.25), Cho/NAA (P = 0.16), and NAA/Cr (P = 0.86) and ADC (P = 0.37) showed no significant differences between TuR and TrE lesions, with AUCs lower than 0.70.
Data Conclusion: Compared with DWI and MRS, ASL and APT imaging techniques showed better diagnostic capability in distinguishing TuR from TrE.
Level of Evidence: 1 Technical Efficacy: Stage 4 J. Magn. Reson. Imaging 2020;51:1154-1161.
(© 2019 International Society for Magnetic Resonance in Medicine.)
References: Thust SC, van den Bent MJ, Smits M. Pseudoprogression of brain tumors. J Magn Reson Imaging 2018;48:571-589.
Prager AJ, Martinez N, Beal K, Omuro A, Zhang Z, Young RJ. Diffusion and perfusion MRI to differentiate treatment-related changes including pseudoprogression from recurrent tumors in high-grade gliomas with histopathologic evidence. AJNR Am J Neuroradiol 2015;36:877-885.
Brandsma D, Stalpers L, Taal W, Sminia P, van den Bent MJ. Clinical features, mechanisms, and management of pseudoprogression in malignant gliomas. Lancet Oncol 2008;9:453-461.
Valk PE, Dillon WP. Radiation injury of the brain. Am J Neuroradiol 1991;12:45-62.
Matsusue E, Fink JR, Rockhill JK, Ogawa T, Maravilla KR. Distinction between glioma progression and post-radiation change by combined physiologic MR imaging. Neuroradiology 2010;52:297-306.
Chu HH, Choi SH, Ryoo I, et al. Differentiation of true progression from pseudoprogression in glioblastoma treated with radiation therapy and concomitant temozolomide: Comparison study of standard and high-b-value diffusion-weighted imaging. Radiology 2013;269:831-840.
Sundgren PC, Fan X, Weybright P, et al. Differentiation of recurrent brain tumor versus radiation injury using diffusion tensor imaging in patients with new contrast-enhancing lesions. Magn Reson Imaging 2006;24:1131-1142.
Fudaba H, Shimomura T, Abe T, et al. Comparison of multiple parameters obtained on 3T pulsed arterial spin-labeling, diffusion tensor imaging, and MRS and the Ki-67 labeling index in evaluating glioma grading. AJNR Am J Neuroradiol 2014;35:2091-2098.
Rau MK, Braun C, Skardelly M, et al. Prognostic value of blood flow estimated by arterial spin labeling and dynamic susceptibility contrast-enhanced MR imaging in high-grade gliomas. J Neurooncol 2014;120:557-566.
Smith EA, Carlos RC, Junck LR, Tsien CI, Elias A, Sundgren PC. Developing a clinical decision model: MR spectroscopy to differentiate between recurrent tumor and radiation change in patients with new contrast-enhancing lesions. Am J Roentgenol 2009;192:W45-W52.
Rabinov JD, Lee PL, Barker FG, et al. In vivo 3-T MR spectroscopy in the distinction of recurrent glioma versus radiation effects: Initial experience. Radiology 2002;225:871-879.
Weybright P, Sundgren PC, Maly P, et al. Differentiation between brain tumor recurrence and radiation injury using MR spectroscopy. Am J Roentgenol 2005;185:1471-1476.
Zhou J, Payen J-F, Wilson DA, Traystman RJ, van Zijl PCM. Using the amide proton signals of intracellular proteins and peptides to detect pH effects in MRI. Nat Med 2003;9:1085.
Ma B, Blakeley JO, Hong X, et al. Applying amide proton transfer-weighted MRI to distinguish pseudoprogression from true progression in malignant gliomas. J Magn Reson Imaging 2016;44:456-462.
Zhou J, Tryggestad E, Wen Z, et al. Differentiation between glioma and radiation necrosis using molecular magnetic resonance imaging of endogenous proteins and peptides. Nat Med 2011;17:130-134.
Ma B, Blakeley JO, Hong X, et al. Applying amide proton transfer-weighted MRI to distinguish pseudoprogression from true progression in malignant gliomas. J Magn Reson Imaging 2016;44:456-462.
Stancanello J, Terreno E, Castelli DD, Cabella C, Uggeri F, Aime S. Development and validation of a smoothing-splines-based correction method for improving the analysis of CEST-MR images. Contrast Media Mol Imaging 2008;3:136-149.
Wen PY, Macdonald DR, Reardon DA, et al. Updated response assessment criteria for high-grade gliomas: Response assessment in Neuro-Oncology Working Group. J Clin Oncol 2010;28:1963-1972.
Zhou J, Payen JF, Wilson DA, Traystman RJ, van Zijl PC. Using the amide proton signals of intracellular proteins and peptides to detect pH effects in MRI. Nat Med 2003;9:1085-1090.
Vaupel P, Kallinowski F, Okunieff P. Blood flow, oxygen and nutrient supply, and metabolic microenvironment of human tumors: A review. Cancer Res 1989;49:6449-6465.
Wu Y, Chen Y, Zhao Y, et al. Direct radiofrequency saturation corrected amide proton transfer tumor MRI at 3T. Magn Reson Med 2019;81:2710-2719.
Zhou J, Hong X, Zhao X, Gao J-H, Yuan J. APT-weighted and NOE-weighted image contrasts in glioma with different RF saturation powers based on magnetization transfer ratio asymmetry analyses. Magn Reson Med 2013;70:320-327.
Zu Z. Towards the complex dependence of MTRasym on T1w in amide proton transfer (APT) imaging. NMR Biomed 2018;31:e3934.
Razek A, El-Serougy L, Abdelsalam M, Gaballa G, Talaat M. Differentiation of residual/recurrent gliomas from postradiation necrosis with arterial spin labeling and diffusion tensor magnetic resonance imaging-derived metrics. Neuroradiology 2018;60:169-177.
Wesseling P, Ruiter DJ, Burger PC. Angiogenesis in brain tumors; pathobiological and clinical aspects. J Neuro-Oncol 1997;32:253-265.
Thompson G, Mills SJ, Coope DJ, O'connor JPB, Jackson A. Imaging biomarkers of angiogenesis and the microvascular environment in cerebral tumours. Br J Radiol 2011;84:S127-S144.
Bobek-Billewicz B, Stasik-Pres G, Majchrzak H, Zarudzki L. Differentiation between brain tumor recurrence and radiation injury using perfusion, diffusion-weighted imaging and MR spectroscopy. Folia Neuropathol 2010;48:81-92.
Cha J, Kim ST, Kim H-J, et al. Analysis of the layering pattern of the apparent diffusion coefficient (ADC) for differentiation of radiation necrosis from tumour progression. Eur Radiol 2013;23:879-886.
Hein PA, Eskey CJ, Dunn JF, Hug EB. Diffusion-weighted imaging in the follow-up of treated high-grade gliomas: Tumor recurrence versus radiation injury. Am J Neuroradiol 2004;25:201-209.
Fink JR, Carr RB, Matsusue E, et al. Comparison of 3 Tesla proton MR spectroscopy, MR perfusion and MR diffusion for distinguishing glioma recurrence from posttreatment effects. J Magn Reson Imaging 2012;35:56-63.
Park JE, Kim HS, Park KJ, Kim SJ, Kim JH, Smith SA. Pre- and posttreatment glioma: Comparison of amide proton transfer imaging with MR spectroscopy for biomarkers of tumor proliferation. Radiology 2016;278:514-523.
Heo HY, Zhang Y, Lee DH, Hong X, Zhou J. Quantitative assessment of amide proton transfer (APT) and nuclear Overhauser enhancement (NOE) imaging with extrapolated semi-solid magnetization transfer reference (EMR) signals: Application to a rat glioma model at 4.7 Tesla. Magn Reson Med 2016;75:137-149.
Jin T, Wang P, Zong X, Kim S-G. MR imaging of the amide-proton transfer effect and the pH-insensitive nuclear Overhauser effect at 9.4 T. Magn Reson Med 2013;69:760-770.
Cai K, Singh A, Poptani H, et al. CEST signal at 2 ppm (CEST@2ppm) from Z-spectral fitting correlates with creatine distribution in brain tumor. NMR Biomed 2015;28:1-8.
Zu Z, Janve VA, Xu J, Does MD, Gore JC, Gochberg DF. A new method for detecting exchanging amide protons using chemical exchange rotation transfer. Magn Reson Med 2013;69:637-647.
Wu Y, Chen Y, Zhao Y, et al. Direct radiofrequency saturation corrected amide proton transfer tumor MRI at 3T. Magn Reson Med 2019;81:2710-2719.
Jiang S, Eberhart CG, Zhang Y, et al. Amide proton transfer-weighted magnetic resonance image-guided stereotactic biopsy in patients with newly diagnosed gliomas. Eur J Cancer 2017;83:9-18.
Heo HY, Zhang Y, Lee DH, Hong X, Zhou J. Quantitative assessment of amide proton transfer (APT) and nuclear Overhauser enhancement (NOE) imaging with extrapolated semi-solid magnetization transfer reference (EMR) signals: Application to a rat glioma model at 4.7 Tesla. Magn Reson Med 2016;75:137-149.
فهرسة مساهمة: Keywords: amide proton transfer imaging; diagnostic performance; glioma; magnetic resonance imaging; treatment effects; tumor recurrence
تواريخ الأحداث: Date Created: 20190821 Date Completed: 20210519 Latest Revision: 20210519
رمز التحديث: 20231215
DOI: 10.1002/jmri.26900
PMID: 31430008
قاعدة البيانات: MEDLINE
الوصف
تدمد:1522-2586
DOI:10.1002/jmri.26900