&lt;I&gt;Correlation Between Magnetic Resonance Images and Histology in Meningiomas: T&lt;SUB&gt;2&lt;/SUB&gt;-weighted Images Indicate Collagen Contents in Tissues&lt;/I&gt;

Soyama, Naohiro; Kuratsu, Jun‐ichi; Ushio, Yukitaka

doi:10.2176/nmc.35.438

Cited by 33 publications

(21 citation statements)

References 10 publications

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“…The majority of authors endorsed the predictive ability of T2WI, noting that tumors hyperintense on T2WI relative to cerebral cortex tended to be softer. [1, 4–5, 8, 13, 14, 16–19, 24, 26, 28, 29]. Yamaguchi et al in their review of 50 patients additionally stated that the probability of a soft tumor is up to 100% higher if hyperintensity on T2WI is associated with hypointensity on T1WI [4].…”

Section: Resultsmentioning

confidence: 99%

Can MRI predict meningioma consistency?: a correlation with tumor pathology and systematic review

et al. 2016

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Tumor consistency is a critical factor that influences operative strategy and patient counseling. Magnetic resonance imaging (MRI) describes the concentration of water within living tissues and as such, is hypothesized to predict aspects of their biomechanical behavior. In meningiomas, MRI signal intensity has been used to predict the consistency of the tumor and its histopathological subtype, though its predictive capacity is debated in the literature. We performed a systematic review of the PubMed database since 1990 concerning MRI appearance and tumor consistency to assess whether or not MRI can be used reliably to predict tumor firmness. The inclusion criteria were case series and clinical studies that described attempts to correlate preoperative MRI findings with tumor consistency. The relationship between the pre-operative imaging characteristics, intraoperative findings, and World Health Organization (WHO) histopathological subtype is described. While T2 signal intensity and MR elastography provide a useful predictive measure of tumor consistency, other techniques have not been validated. T1-weighted imaging was not found to offer any diagnostic or predictive value. A quantitative assessment of T2 signal intensity more reliably predicts consistency than inherently variable qualitative analyses. Preoperative knowledge of tumor firmness affords the neurosurgeon substantial benefit when planning surgical techniques. Based upon our review of the literature, we currently recommend the use of T2-weighted MRI for predicting consistency, which has been shown to correlate well with analysis of tumor histological subtype. Development of standard measures of tumor consistency, standard MRI quantification metrics, and further exploration of MRI technique may improve the predictive ability of neuroimaging for meningiomas.

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Section: Resultsmentioning

confidence: 99%

Can MRI predict meningioma consistency?: a correlation with tumor pathology and systematic review

et al. 2016

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“…Concerning tendons, however, training-induced changes in echointensity would imply changes in the amount of collagen fibers, not fat or fluid. Similarly, the signal intensity of magnetic resonance imaging (MRI) has previously indicated the condition of the extracellular matrix, tissue hydration, collagen fiber structure, and proteoglycan content (Erickson et al 1993;Shalabi et al 2002;Soyama et al 1995;Yoon and Halper 2005). Furthermore, T 2 relaxation time of MRI (equivalent to MRI signal intensity) has been shown to correspond to collagen orientation (Du et al 2009;Erickson et al 1993;Nieminen et al 2001).…”

Section: Introductionmentioning

confidence: 99%

Time course of changes in the human Achilles tendon properties and metabolism during training and detraining in vivo

et al. 2011

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The purpose of this study was to investigate the time course of changes in human tendon properties and metabolism during resistance training and detraining. Nine men (21-27 years) completed 3 months of isometric plantar flexion training and another 3 months of detraining. At the beginning and on every 1 month of training and detraining periods, the stiffness, blood circulation (blood volume and oxygen saturation), serum procollagen type 1 C-peptide (P1P; reflects synthesis of type 1 collagen), echointensity (reflects collagen content), and MRI signal intensity (reflects collagen structure) of the Achilles tendon were measured. Tendon stiffness did not change until 2 months of training, and the increase (50.3%) reached statistical significance at the end of the training period. After 1 month of detraining, tendon stiffness had already decreased to pre-training level. Blood circulation in the tendon did not change during the experimental period. P1P increased significantly after 2 months of training. Echointensity increased significantly by 9.1% after 2 months of training, and remained high throughout the experiment. MRI signal intensity increased by 24.2% after 2 months and by 21.4% after 3 months of training, but decreased to the pre-training level during the detraining period. These results suggested that the collagen synthesis, content, and structure of human tendons changed at the 2-month point of training period. During detraining, the sudden decrease in tendon stiffness might be related to changes in the structure of collagen fibers within the tendon.

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“…[6] Soyama et al . [10] reported on 40 surgically treated intracranial meningiomas, regarding T2 intensity and correlation with histological subtypes. They assigned signal intensity scores on T2 and found that while there was a moderate variation of signal intensity within a given histological subtype, the mean signal intensity scores on T2 of the fibrous type of meningioma were significantly lower than those of the other subtypes.…”

Section: Discussionmentioning

confidence: 99%

“…The score correlated with the collagen content and they concluded that meningiomas significantly hypointense to cortex on T2 are composed primarily of fibrous elements. [10] Yrjänä et al . [11] reported on 21 surgically treated meningiomas that had been imaged using a low-field MRI and found that tissue hardness correlated best with relative intensity on T2-weighted images.…”

Section: Discussionmentioning

confidence: 99%

Use of preoperative magnetic resonance imaging T1 and T2 sequences to determine intraoperative meningioma consistency

Hoover

Morris²,

Meyer³

2011

Surg Neurol Int

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Background:Meningioma firmness is a critical factor that influences ease of resection and risk, notably when operating on tumors intimate with neurovascular structures such as the mesial sphenoid wing. This study develops a predictive tool using preoperative magnetic resonance imaging (MRI) characteristics to determine meningioma consistency.Methods:101 patients with intracranial meningioma (50 soft/51 firm) were included. MRI characteristics of 38 tumors (19 soft/19 firm) were retrospectively reviewed to identify preoperative imaging features that were then correlated with intraoperative description of the tumor as either “soft and/or suckable” or “firm and/or fibrous”. Criteria were developed to predict consistency and then blindly applied to the remaining 63 meningiomas (31 soft/32 firm).Results:The overall sensitivities for detecting soft and firm consistency were 90% and 56%, respectively (95% CI = 73–97% and 38–73%; P < 0.001). Compared to gray matter, meningiomas that were T2 hypointense were almost always firm. Soft meningiomas were hyperintense on T2 and hypointense on T1. Soft meningiomas were slightly larger and less likely to be associated with edema. There was a slight preponderance of firm meningiomas in the infratentorial compartment. Grade of meningioma was not predictive. Contrast enhancement, diffusion restriction, changes in overlying bone, intratumoral cysts, and angiographic features were not predictable.Conclusions:This tool using T1 and T2 series predicts meningioma consistency. Such knowledge should assist the surgeon in preoperative planning and counseling.

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<I>Correlation Between Magnetic Resonance Images and Histology in Meningiomas: T<SUB>2</SUB>-weighted Images Indicate Collagen Contents in Tissues</I>

Cited by 33 publications

References 10 publications

Can MRI predict meningioma consistency?: a correlation with tumor pathology and systematic review

Can MRI predict meningioma consistency?: a correlation with tumor pathology and systematic review

Time course of changes in the human Achilles tendon properties and metabolism during training and detraining in vivo

Use of preoperative magnetic resonance imaging T1 and T2 sequences to determine intraoperative meningioma consistency

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