Differentiation of Cerebellar Hemisphere Tumors: Combining Apparent Diffusion Coefficient Histogram Analysis and Structural MRI Features

Payabvash, Sam; Tihan, Tarık

doi:10.1111/jon.12550

Cited by 19 publications

(23 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A major goal of the present study was to assess potential associations between the genetic subtypes and immunohistochemical parameters of medulloblastoma using quantitative (ADC) MRI, as comparable literature data are sparse. Considering the whole study population ( n = 32), the calculated ADC mean within the solid tumor components was 586 (10 −6 mm 2 /s), which is in the range of data reported by other authors who did not explicitly investigate genetic subtypes 13,20,22 . Similar to the results of Perreault and colleagues, 12 difference of the ADC mean between genetic subtypes did not reach statistical significance, which was possibly caused by the low sample size of the WNT‐activated subgroup ( P = .080).…”

Section: Discussionsupporting

confidence: 73%

“…Considering the whole study population (n = 32), the calculated ADC mean within the solid tumor components was 586 (10 −6 mm 2 /s), which is in the range of data reported by other authors who did not explicitly investigate genetic subtypes. 13,20,22 Similar to the results of Perreault and colleagues, 12 difference of the ADC mean between genetic subtypes did not reach statistical significance, which was possibly caused by the low sample size of the WNT-activated subgroup (P = .080). However, the mean ADC value was lowest in this subgroup (480 [10 −6 mm 2 /s]); this finding is comparable to recently published data of Reddy and colleagues.…”

Section: Discussionsupporting

confidence: 67%

“…This parameter is independent of the field strength as it refers to the mean diffusivity that is rotationally invariant, [16][17][18] and associated with tumor cell density. 19 Several studies illustrated that ADC calculation within the neoplasm is valuable for both differential diagnosis of posterior fossa tumors [20][21][22][23][24] and more accurate histopathological classification of medulloblastomas. 13 However, systematic ADC data specifically considering the genetic subtypes and immunohistochemical features of medulloblastoma are clearly underrepresented in the literature.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Advanced MRI Findings in Medulloblastomas: Relationship to Genetic Subtypes, Histopathology, and Immunohistochemistry

Reis

Stahl

Zimmermann

et al. 2021

Journal of Neuroimaging

View full text Add to dashboard Cite

BACKGROUND AND PURPOSE: For diagnosis of medulloblastoma, the updated World Health Organization classification now demands for genetic typing, defining more precisely the tumor biology, therapy, and prognosis. We investigated potential associations between magnetic resonance imaging (MRI) parameters including apparent diffusion coefficient (ADC) and neuropathologic features of medulloblastoma, focusing on genetic subtypes. METHODS: This study was a retrospective single-center analysis of 32 patients (eight females, median age = 9 years [range, 1-57], mean 12.6 ± 11.3) from 2012 to 2019. Genetic subtypes (wingless [WNT]; sonic hedgehog [SHH]; non-WNT/non-SHH), histopathology, immunohistochemistry (p53, Ki67), and the following MRI parameters were correlated: tumor volume, location (midline, pontocerebellar, and cerebellar hemisphere), edema, hydrocephalus, metastatic disease (presence/absence and each), contrast-enhancement (minor, moderate, and distinct), cysts (none, small, and large), hemorrhage (none, minor, and major), and ADC mean. The ADC mean was calculated using manually set regions of interest within the solid tumor. Statistics comprised univariate and multivariate testing. RESULTS: Out of 32 tumors, three tumors were WNT activated (9.4%), 13 (40.6%) SHH activated, and 16 (50.0%) non-WNT/non-SHH. Hemispherical location (n = 7/8, P = .003) and presence of edema (8/8; P < .001, specificity 100%, positive predictive value 100%) were significantly associated with SHH activation. The combined parameter "no edema + no metastatic disease + cysts" significantly discriminated WNT-activated from SHH-activated medulloblastoma (P = .036). ADC mean (10-6 mm 2 /s) was 484 for WNT-activated, 566 for SHH-activated, and 624 for non-WNT/non-SHH subtypes (P = .080). A significant negative correlation was found between ADC mean and Ki67 (r =-.364, P = .040). CONCLUSION: MRI analysis enabled noninvasive differentiation of SHH-activated medulloblastoma. ADC alone was not reliable for genetic characterization, but associated with tumor proliferation rate.

show abstract

Section: Discussionsupporting

confidence: 73%

Section: Discussionsupporting

confidence: 67%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Advanced MRI Findings in Medulloblastomas: Relationship to Genetic Subtypes, Histopathology, and Immunohistochemistry

Reis

Stahl

Zimmermann

et al. 2021

Journal of Neuroimaging

View full text Add to dashboard Cite

show abstract

“…Several studies have investigated the values of DWI and ADC in the differential diagnosis of hemangioblastoma and other common tumors in the posterior fossa, yet optic nerve tumors have not been focused on. Most studies concluded that the ADC values of hemangioblastoma were significantly higher than those of metastatic tumors (39)(40)(41)(42). Hemangioblastoma is also found to have higher ADC values than most primary tumors including meningioma and medulloblastoma, except pilocytic astrocytoma (PA) according to Payabvash and colleagues (40).…”

Section: The Mri Findings Of Optic Nerve Hemangioblastomamentioning

confidence: 99%

Neuroimaging Features of Optic Nerve Hemangioblastoma Identified by Conventional and Advanced Magnetic Resonance Techniques: A Case Report and Literature Review

et al. 2021

View full text Add to dashboard Cite

Optic nerve hemangioblastoma is a very rare benign tumor with only 39 reported cases by now. It appears to be hyperintense on T2-weighted images with a significant enhancement on contrast scans, which are similar to glioma and meningioma. Due to the lack of specificity in MRI manifestations, optic nerve hemangioblastoma is often misdiagnosed. To provide new insights into differential diagnosis of optic nerve hemangioblastoma, we report for the first time an optic nerve hemangioblastoma case employing advanced magnetic resonance techniques including diffusion-weighted imaging (DWI), apparent diffusion coefficient (ADC) maps, and magnetic resonance angiography (MRA). In addition, we have collected all reported optic nerve hemangioblastoma cases and reviewed their neuroimaging findings by MRI and angiography. Our results show that solid-type tumor is the dominant form of optic nerve hemangioblastoma and extensive edema is widely observed. These findings are surprisingly contrary to manifestations of cerebellar hemangioblastoma. Besides the structural features, quantitative indexes including ADC and relative cerebral blood volume (rCBV) ratio, which are significantly elevated in cerebellar hemangioblastoma, may also shed a light on the preoperative diagnosis of hemangioblastoma of optic nerve. Finally, we discuss the critical neuroimaging features in the differential diagnosis between optic nerve hemangioblastoma from optic pathway glioma and optic nerve sheath meningioma.

show abstract

“…However, the radiological diagnostic accuracy largely depends on the judgment and expertise of radiologists. Besides, brain metastatic tumor may present various MR image features based on their primary origins, and the various appearances of medulloblastoma and hemangioblastoma could potentially lead to misleading conclusions in some cases (Poretti et al, 2012; Millard and De Braganca, 2016; Payabvash et al, 2018). However, it is important to make preoperative diagnosis accurately and early as the treatment strategies and prognoses of patients are dramatically different (Grossman and Ram, 2016; Kang et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

The Diagnostic Value of MRI-Based Texture Analysis in Discrimination of Tumors Located in Posterior Fossa: A Preliminary Study

et al. 2019

View full text Add to dashboard Cite

ObjectivesTo investigate the diagnostic value of MRI-based texture analysis in discriminating common posterior fossa tumors, including medulloblastoma, brain metastatic tumor, and hemangioblastoma.MethodsA total number of 185 patients were enrolled in the current study: 63 of them were diagnosed with medulloblastoma, 56 were diagnosed with brain metastatic tumor, and 66 were diagnosed with hemangioblastoma. Texture features were extracted from contrast-enhanced T1-weighted (T1C) images and fluid-attenuation inversion recovery (FLAIR) images within two matrixes. Mann–Whitney U test was conducted to identify whether texture features were significantly different among subtypes of tumors. Logistic regression analysis was performed to assess if they could be taken as independent predictors and to establish the integrated models. Receiver operating characteristic analysis was conducted to evaluate their performances in discrimination.ResultsThere were texture features from both T1C images and FLAIR images found to be significantly different among the three types of tumors. The integrated model represented that the promising diagnostic performance of texture analysis depended on a series of features rather than a single feature. Moreover, the predictive model that combined texture features and clinical feature implied feasible performance in prediction with an accuracy of 0.80.ConclusionMRI-based texture analysis could potentially be served as a radiological method in discrimination of common tumors located in posterior fossa.

show abstract

Differentiation of Cerebellar Hemisphere Tumors: Combining Apparent Diffusion Coefficient Histogram Analysis and Structural MRI Features

Cited by 19 publications

References 28 publications

Advanced MRI Findings in Medulloblastomas: Relationship to Genetic Subtypes, Histopathology, and Immunohistochemistry

Advanced MRI Findings in Medulloblastomas: Relationship to Genetic Subtypes, Histopathology, and Immunohistochemistry

Neuroimaging Features of Optic Nerve Hemangioblastoma Identified by Conventional and Advanced Magnetic Resonance Techniques: A Case Report and Literature Review

The Diagnostic Value of MRI-Based Texture Analysis in Discrimination of Tumors Located in Posterior Fossa: A Preliminary Study

Contact Info

Product

Resources

About