Abstract:PurposeSingle dose gadolinium (Gd) enhanced fluid-attenuated inversion recovery (FLAIR) is helpful for visualizing superficial parenchymal metastases. However, the usefulness of FLAIR with a higher dose of Gd is uncertain. The aim of our study was two-folds: first, to prove that the signal to noise ratio (SNR) of small brain metastases is higher than large brain metastases on double-dose (DD) enhanced FLAIR and, second, to explore the added value of DD Gd enhanced FLAIR in relation to T1 GRE for evaluating sma… Show more
“…Accordingly, 3D GRE may be the most common imaging sequences for detecting brain metastases, particularly small lesions, until recently. However, these results probably due to the facts that previous studies compared detectability between 2D SE with a thicker slice thickness and 3D GRE with a thinner slice thickness [8][9][10].…”
Section: Inclusion Criteriamentioning
confidence: 85%
“…In the last decade, several original articles have described the detectability of brain metastases using contrastenhanced SE and GRE T1-weighted images [8][9][10][11][12][13][14][15]. Recent studies compared 3D SE and 3D GRE images with 1-mmthick slices for detecting brain metastases [11][12][13][14][15].…”
Section: Discussionmentioning
confidence: 99%
“…However, there are currently no definitive guidelines state which image should be used to detect brain metastasis, and few the full text (one case report [23], one study with insufficient data [24], and seven studies that were not in the field of interest) [25][26][27][28][29][30][31]. Finally, eight eligible studies, which included a total sample size of 252 patients and 1413 brain metastases, were included in our meta-analysis [8][9][10][11][12][13][14][15].…”
Section: Discussionmentioning
confidence: 99%
“…Several previous studies compared the contrast-enhanced two-dimensional (2D) spin-echo (SE) and three-dimensional (3D) gradient-echo (GRE) T1-weighted images for detecting small brain metastases [8][9][10]. Although SE T1-weighted images can usually present a higher contrastto-noise ratio (CNR) and signal-to-noise ratio (SNR) in comparison with GRE images, the higher detectability of brain metastases has been reported using GRE with thinner section slices [8][9][10]. Accordingly, 3D GRE may be the most common imaging sequences for detecting brain metastases, particularly small lesions, until recently.…”
Section: Inclusion Criteriamentioning
confidence: 99%
“…Six of eight studies were prospective [8,10,[12][13][14][15], and two studies were retrospective [9,11]. In terms of the demographic characteristics of the patients in the included studies, the mean ages of these cases ranged between 57.3 and 66.3 years ( Table 2).…”
Section: Characteristics Of the Included Studiesmentioning
This study aimed to compare the detectability of brain metastases using contrast-enhanced spin-echo (SE) and gradient-echo (GRE) T1-weighted images. The Ovid-MEDLINE and EMBASE databases were searched for studies on the detectability of brain metastases using contrast-enhanced SE or GRE images. The pooled proportions for the detectability of brain metastases were assessed using random-effects modeling. Heterogeneity among studies was determined using χ (2) statistics for the pooled estimates and the inconsistency index, I (2) . To overcome heterogeneity, subgroup analyses according to slice thickness and lesion size were performed. A total of eight eligible studies, which included a sample size of 252 patients and 1413 brain metastases, were included. The detectability of brain metastases using SE images (89.2 %) was higher than using GRE images (81.6 %; adjusted 84.0 %), but this difference was not statistically significant (p = 0.2385). In subgroup analysis of studies with 1-mm-thick slices and small metastases (<5 mm in diameter), 3-dimensional (3D) SE images demonstrated a higher detectability in comparison to 3D GRE images (93.7 % vs 73.1 % in 1-mm-thick slices; 89.5 % vs 59.4 % for small metastases) (p < 0.0001). Although both SE or GRE images are acceptable for detecting brain metastases, contrast-enhanced 3D SE images using 1-mm-thick slices are preferred for detecting brain metastases, especially small lesions (<5 mm in diameter).
“…Accordingly, 3D GRE may be the most common imaging sequences for detecting brain metastases, particularly small lesions, until recently. However, these results probably due to the facts that previous studies compared detectability between 2D SE with a thicker slice thickness and 3D GRE with a thinner slice thickness [8][9][10].…”
Section: Inclusion Criteriamentioning
confidence: 85%
“…In the last decade, several original articles have described the detectability of brain metastases using contrastenhanced SE and GRE T1-weighted images [8][9][10][11][12][13][14][15]. Recent studies compared 3D SE and 3D GRE images with 1-mmthick slices for detecting brain metastases [11][12][13][14][15].…”
Section: Discussionmentioning
confidence: 99%
“…However, there are currently no definitive guidelines state which image should be used to detect brain metastasis, and few the full text (one case report [23], one study with insufficient data [24], and seven studies that were not in the field of interest) [25][26][27][28][29][30][31]. Finally, eight eligible studies, which included a total sample size of 252 patients and 1413 brain metastases, were included in our meta-analysis [8][9][10][11][12][13][14][15].…”
Section: Discussionmentioning
confidence: 99%
“…Several previous studies compared the contrast-enhanced two-dimensional (2D) spin-echo (SE) and three-dimensional (3D) gradient-echo (GRE) T1-weighted images for detecting small brain metastases [8][9][10]. Although SE T1-weighted images can usually present a higher contrastto-noise ratio (CNR) and signal-to-noise ratio (SNR) in comparison with GRE images, the higher detectability of brain metastases has been reported using GRE with thinner section slices [8][9][10]. Accordingly, 3D GRE may be the most common imaging sequences for detecting brain metastases, particularly small lesions, until recently.…”
Section: Inclusion Criteriamentioning
confidence: 99%
“…Six of eight studies were prospective [8,10,[12][13][14][15], and two studies were retrospective [9,11]. In terms of the demographic characteristics of the patients in the included studies, the mean ages of these cases ranged between 57.3 and 66.3 years ( Table 2).…”
Section: Characteristics Of the Included Studiesmentioning
This study aimed to compare the detectability of brain metastases using contrast-enhanced spin-echo (SE) and gradient-echo (GRE) T1-weighted images. The Ovid-MEDLINE and EMBASE databases were searched for studies on the detectability of brain metastases using contrast-enhanced SE or GRE images. The pooled proportions for the detectability of brain metastases were assessed using random-effects modeling. Heterogeneity among studies was determined using χ (2) statistics for the pooled estimates and the inconsistency index, I (2) . To overcome heterogeneity, subgroup analyses according to slice thickness and lesion size were performed. A total of eight eligible studies, which included a sample size of 252 patients and 1413 brain metastases, were included. The detectability of brain metastases using SE images (89.2 %) was higher than using GRE images (81.6 %; adjusted 84.0 %), but this difference was not statistically significant (p = 0.2385). In subgroup analysis of studies with 1-mm-thick slices and small metastases (<5 mm in diameter), 3-dimensional (3D) SE images demonstrated a higher detectability in comparison to 3D GRE images (93.7 % vs 73.1 % in 1-mm-thick slices; 89.5 % vs 59.4 % for small metastases) (p < 0.0001). Although both SE or GRE images are acceptable for detecting brain metastases, contrast-enhanced 3D SE images using 1-mm-thick slices are preferred for detecting brain metastases, especially small lesions (<5 mm in diameter).
Background and purposeWe have commonly observed prominent cerebral veins on susceptibility‐weighted angiography (SWAN) in acute meningoencephalitis. This study aimed to investigate the clinical significance of these findings.MethodsCerebral veins on SWAN of 98 patients with acute meningoencephalitis diagnosed from February 2016 through October 2020 were classified into three groups according to the degree of venous prominence (mild, 23; moderate, 53; and prominent, 22). Clinical variables and laboratory findings were compared between these groups. The influence of variables on the prediction of prominent cerebral veins was measured by random forest (RF) and gradient boosting machine (GBM).ResultsAs cerebral veins became more prominent, cerebrospinal fluid (CSF) glucose level decreased (69.61 ± 29.05 vs. 59.72 ± 22.57 vs. 48.36 ± 20.29 mg/dL, p = .01) and CSF protein level increased (100.73 ± 82.98 vs. 104.73 ± 70.99 vs. 159.12 ± 118.15 mg/dL, p = .03). The etiology of meningoencephalitis, neurological symptoms, and increased intracranial pressure (ICP) signs differed between groups (p < .05). RF and GBM demonstrated that CSF protein level was the variable with the highest power to predict the prominent cerebral vein (mean decrease in node impurity: 4.19, relative influence: 50.66).ConclusionThe presence of prominent cerebral veins on SWAN in acute meningoencephalitis was significantly associated with a low CSF glucose level and a high CSF protein level, as well as ICP. Thus, the visual grade of the cerebral veins on SWAN may be utilized for the management of patients with acute meningoencephalitis.
While contrast‐enhanced fluid‐attenuated inversion recovery (FLAIR) has long been regarded as an adjunct sequence to evaluate leptomeningeal disease in addition to contrast‐enhanced T1‐weighted imaging, it is gradually being used for more diverse pathologies beyond leptomeningeal disease. Contrast‐enhanced FLAIR is known to be highly sensitive to low concentrations of gadolinium within the fluid. Accordingly, recent research has suggested the potential utility of contrast‐enhanced FLAIR in various kinds of disease, such as Meniere's disease, seizure, stroke, traumatic brain injury, and brain metastasis, in addition to being used for visualizing glymphatic dysfunction. However, its potential applications have been reported sporadically in an unorganized manner. Furthermore, the exact mechanism for its superior sensitivity to low concentrations of gadolinium has not been fully understood. Rapidly developing magnetic resonance technology and unoptimized parameters for FLAIR may challenge its accurate application in clinical practice. This review provides the fundamental mechanism of contrast‐enhanced FLAIR, systematically describes its current and potential clinical application, and elaborates on technical considerations for its optimization.Level of Evidence3Technical Efficacy Stage5
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