دورية أكاديمية
أعرض في EDS

Differentiating primary central nervous system lymphoma from glioblastoma by time-dependent diffusion using oscillating gradient.

التفاصيل البيبلوغرافية
العنوان: Differentiating primary central nervous system lymphoma from glioblastoma by time-dependent diffusion using oscillating gradient.
المؤلفون: Kamimura K; Department of Advanced Radiological Imaging, Kagoshima University Graduate School of Medical and Dental Sciences, 8-35-1 Sakuragaoka, Kagoshima, 890-8544, Japan. kiyohisa@m2.kufm.kagoshima-u.ac.jp., Nakano T; Department of Radiology, Kagoshima University Graduate School of Medical and Dental Sciences, 8-35-1 Sakuragaoka, Kagoshima, 890-8544, Japan., Hasegawa T; Department of Radiology, Kagoshima University Graduate School of Medical and Dental Sciences, 8-35-1 Sakuragaoka, Kagoshima, 890-8544, Japan., Nakajo M; Department of Radiology, Kagoshima University Graduate School of Medical and Dental Sciences, 8-35-1 Sakuragaoka, Kagoshima, 890-8544, Japan., Yamada C; Department of Radiology, Kagoshima University Graduate School of Medical and Dental Sciences, 8-35-1 Sakuragaoka, Kagoshima, 890-8544, Japan., Kamimura Y; Department of Radiology, Kagoshima University Graduate School of Medical and Dental Sciences, 8-35-1 Sakuragaoka, Kagoshima, 890-8544, Japan., Akune K; Department of Radiology, Kagoshima University Graduate School of Medical and Dental Sciences, 8-35-1 Sakuragaoka, Kagoshima, 890-8544, Japan., Ejima F; Department of Radiology, Kagoshima University Graduate School of Medical and Dental Sciences, 8-35-1 Sakuragaoka, Kagoshima, 890-8544, Japan., Ayukawa T; Department of Radiology, Kagoshima University Graduate School of Medical and Dental Sciences, 8-35-1 Sakuragaoka, Kagoshima, 890-8544, Japan., Nagano H; Department of Radiology, Kagoshima University Graduate School of Medical and Dental Sciences, 8-35-1 Sakuragaoka, Kagoshima, 890-8544, Japan., Takumi K; Department of Radiology, Kagoshima University Graduate School of Medical and Dental Sciences, 8-35-1 Sakuragaoka, Kagoshima, 890-8544, Japan., Nakajo M; Department of Radiology, Kagoshima University Graduate School of Medical and Dental Sciences, 8-35-1 Sakuragaoka, Kagoshima, 890-8544, Japan., Higa N; Department of Neurosurgery, Kagoshima University Graduate School of Medical and Dental Sciences, 8-35-1 Sakuragaoka, Kagoshima, 890-8544, Japan., Yonezawa H; Department of Neurosurgery, Kagoshima University Graduate School of Medical and Dental Sciences, 8-35-1 Sakuragaoka, Kagoshima, 890-8544, Japan., Hanaya R; Department of Neurosurgery, Kagoshima University Graduate School of Medical and Dental Sciences, 8-35-1 Sakuragaoka, Kagoshima, 890-8544, Japan., Kirishima M; Department of Pathology, Kagoshima University Graduate School of Medical and Dental Sciences, 8-35-1 Sakuragaoka, Kagoshima, 890-8544, Japan., Tanimoto A; Department of Pathology, Kagoshima University Graduate School of Medical and Dental Sciences, 8-35-1 Sakuragaoka, Kagoshima, 890-8544, Japan., Iwanaga T; Department of Radiological Technology, Kagoshima University Hospital, 8-35-1 Sakuragaoka, Kagoshima, 890-8544, Japan., Imai H; Siemens Healthcare K.K., Gate City Osaki West Tower, 1-11-1 Osaki, Shinagawa-Ku, Tokyo, 141-8644, Japan., Feiweier T; Siemens Healthcare GmbH, Henkestrasse 127, 91052, Erlangen, Germany., Yoshiura T; Department of Advanced Radiological Imaging, Kagoshima University Graduate School of Medical and Dental Sciences, 8-35-1 Sakuragaoka, Kagoshima, 890-8544, Japan.; Department of Radiology, Kagoshima University Graduate School of Medical and Dental Sciences, 8-35-1 Sakuragaoka, Kagoshima, 890-8544, Japan.
المصدر: Cancer imaging : the official publication of the International Cancer Imaging Society [Cancer Imaging] 2023 Nov 30; Vol. 23 (1), pp. 114. Date of Electronic Publication: 2023 Nov 30.
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: Springer Nature Country of Publication: England NLM ID: 101172931 Publication Model: Electronic Cited Medium: Internet ISSN: 1470-7330 (Electronic) Linking ISSN: 14707330 NLM ISO Abbreviation: Cancer Imaging Subsets: MEDLINE
أسماء مطبوعة: Publication: <2014- > : London : Springer Nature
Original Publication: London : e-med, c2000]-
مواضيع طبية MeSH: Glioblastoma*/diagnostic imaging , Glioblastoma*/pathology , Brain Neoplasms*/diagnostic imaging , Brain Neoplasms*/pathology , Lymphoma*/diagnostic imaging, Humans ; Retrospective Studies ; Diffusion Magnetic Resonance Imaging/methods ; Diagnosis, Differential ; Central Nervous System/pathology
مستخلص: Background: This study aimed to elucidate the impact of effective diffusion time setting on apparent diffusion coefficient (ADC)-based differentiation between primary central nervous system lymphomas (PCNSLs) and glioblastomas (GBMs) and to investigate the usage of time-dependent diffusion magnetic resonance imaging (MRI) parameters.
Methods: A retrospective study was conducted involving 21 patients with PCNSLs and 66 patients with GBMs using diffusion weighted imaging (DWI) sequences with oscillating gradient spin-echo (Δ eff  = 7.1 ms) and conventional pulsed gradient (Δ eff  = 44.5 ms). In addition to ADC maps at the two diffusion times (ADC 7.1 ms and ADC 44.5 ms ), we generated maps of the ADC changes (cADC) and the relative ADC changes (rcADC) between the two diffusion times. Regions of interest were placed on enhancing regions and non-enhancing peritumoral regions. The mean and the fifth and 95 th percentile values of each parameter were compared between PCNSLs and GBMs. The area under the receiver operating characteristic curve (AUC) values were used to compare the discriminating performances among the indices.
Results: In enhancing regions, the mean and fifth and 95 th percentile values of ADC 44.5 ms and ADC 7.1 ms in PCNSLs were significantly lower than those in GBMs (p = 0.02 for 95 th percentile of ADC 44.5 ms , p = 0.04 for ADC 7.1 ms , and p < 0.01 for others). Furthermore, the mean and fifth and 95 th percentile values of cADC and rcADC were significantly higher in PCNSLs than in GBMs (each p < 0.01). The AUC of the best-performing index for ADC 7.1 ms was significantly lower than that for ADC 44.5 ms (p < 0.001). The mean rcADC showed the highest discriminating performance (AUC = 0.920) among all indices. In peritumoral regions, no significant difference in any of the three indices of ADC 44.5 ms , ADC 7.1 ms , cADC, and rcADC was observed between PCNSLs and GBMs.
Conclusions: Effective diffusion time setting can have a crucial impact on the performance of ADC in differentiating between PCNSLs and GBMs. The time-dependent diffusion MRI parameters may be useful in the differentiation of these lesions.
(© 2023. The Author(s).)
References: Radiology. 2013 Nov;269(2):561-8. (PMID: 23878286)
PLoS One. 2016 Sep 15;11(9):e0162565. (PMID: 27631626)
Magn Reson Imaging. 2020 Oct;72:34-41. (PMID: 32599021)
Radiology. 2002 Apr;223(1):11-29. (PMID: 11930044)
Magn Reson Med. 2014 Nov;72(5):1366-74. (PMID: 25168861)
AJNR Am J Neuroradiol. 2008 Mar;29(3):471-5. (PMID: 18065516)
Magn Reson Imaging. 2023 Feb;96:67-74. (PMID: 36423796)
Radiology. 2002 Jul;224(1):177-83. (PMID: 12091680)
Neuroradiology. 2013 Feb;55(2):135-43. (PMID: 22961074)
PLoS One. 2015 Jul 30;10(7):e0134761. (PMID: 26225937)
NMR Biomed. 2014 Apr;27(4):371-80. (PMID: 24421173)
Neuro Oncol. 2023 Jun 2;25(6):1146-1156. (PMID: 36617263)
World Neurosurg. 2018 Apr;112:e1-e6. (PMID: 29104150)
J Clin Neurosci. 2015 May;22(5):785-99. (PMID: 25698544)
Eur J Radiol. 2006 Jun;58(3):394-403. (PMID: 16527438)
Magn Reson Med. 2014 Sep;72(3):726-36. (PMID: 24142863)
Lancet Neurol. 2009 Jun;8(6):581-92. (PMID: 19446277)
Cancer Imaging. 2023 Aug 8;23(1):75. (PMID: 37553578)
AJNR Am J Neuroradiol. 2001 Jun-Jul;22(6):1081-8. (PMID: 11415902)
Psychol Bull. 1979 Mar;86(2):420-8. (PMID: 18839484)
Brain Sci. 2020 Nov 20;10(11):. (PMID: 33233698)
J Magn Reson Imaging. 2019 Jul;50(1):88-95. (PMID: 30578563)
Eur J Radiol. 2012 Feb;81(2):339-44. (PMID: 21129872)
AJNR Am J Neuroradiol. 2011 Mar;32(3):507-14. (PMID: 21330399)
Magn Reson Med. 2003 Feb;49(2):206-15. (PMID: 12541239)
World Neurosurg. 2016 Apr;88:598-602. (PMID: 26529294)
Magn Reson Med. 2014 Aug;72(2):492-500. (PMID: 24022863)
PLoS One. 2013 Nov 11;8(11):e79008. (PMID: 24244402)
Neuroradiology. 2021 Mar;63(3):331-342. (PMID: 32821962)
Magn Reson Imaging. 2011 Apr;29(3):380-90. (PMID: 21129880)
Clin Neuropathol. 2018 May/Jun;37(3):105-111. (PMID: 29336777)
J Comput Assist Tomogr. 2017 Nov/Dec;41(6):904-909. (PMID: 28708728)
Cancer Sci. 2020 Oct;111(10):3902-3911. (PMID: 32748499)
Magn Reson Med. 2023 Nov;90(5):1789-1801. (PMID: 37335831)
فهرسة مساهمة: Keywords: Diffusion; Glioblastoma; Magnetic resonance imaging; Primary central nervous system lymphoma
تواريخ الأحداث: Date Created: 20231201 Date Completed: 20231204 Latest Revision: 20231205
رمز التحديث: 20240514
مُعرف محوري في PubMed: PMC10691025
DOI: 10.1186/s40644-023-00639-7
PMID: 38037172
قاعدة البيانات: MEDLINE
الوصف
تدمد:1470-7330
DOI:10.1186/s40644-023-00639-7