Computational quantitative MR image features - a potential useful tool in differentiating glioblastoma from solitary brain metastasis

Petrujkić, Katarina; Milošević, Nebojša T.; Rajković, Nemanja; Stanisavljević, Dejana; Gavrilović, Svetlana; Dželebdžić, Dragana; Ilić, Rosanda; Ieva, Antonio Di; Maksimović, Ružica

doi:10.1016/j.ejrad.2019.08.003

Cited by 31 publications

(27 citation statements)

References 38 publications

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“…Five textural parameters were calculated-Angular second moment (S ASM ), Inverse difference moment (S IDM ), Contrast (S CON ), correlation (S COR ), and Entropy (S ENT ). Compared to glioblastomas, metastases had higher S ENT , S COR , and S CON , and lower S ASM and S IDM (61). All five textural parameters from T2-weighted imaging were significantly different between glioblastoma and metastasis.…”

Section: Differentiation Of Malignancy Typesmentioning

confidence: 80%

“…Petrujkic et al performed texture analysis on 30 patients with glioblastomas and 25 patients with solitary metastases on T2weighted, susceptibility weighted, and post-contrast MPRAGE (CET1) images (61). Five textural parameters were calculated-Angular second moment (S ASM ), Inverse difference moment (S IDM ), Contrast (S CON ), correlation (S COR ), and Entropy (S ENT ).…”

Section: Differentiation Of Malignancy Typesmentioning

confidence: 99%

“…On CET1 images, four textural parameters (S ASM , S IDM , S CON , S ENT ) were significantly different, with Inverse difference moment (S IDM ) being most specific (specificity = 84%). Performance was better when multi-sequence textural parameters were combined, achieving an AUC of 0.908, with 86.7% sensitivity and 80.0% specificity (61).…”

Section: Differentiation Of Malignancy Typesmentioning

confidence: 99%

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Advanced Imaging of Brain Metastases: From Augmenting Visualization and Improving Diagnosis to Evaluating Treatment Response

2020

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Early detection of brain metastases and differentiation from other neuropathologies is crucial. Although biopsy is often required for definitive diagnosis, imaging can provide useful information. After treatment commences, imaging is also performed to assess the efficacy of treatment. Contrast-enhanced magnetic resonance imaging (MRI) is the traditional imaging method for the evaluation of brain metastases, as it provides information about lesion size, morphology, and macroscopic properties. Newer MRI sequences have been developed to increase the conspicuity of detecting enhancing metastases. Other advanced MRI techniques, that have the capability to probe beyond the anatomic structure, are available to characterize microstructures, cellularity, physiology, perfusion, and metabolism. Artificial intelligence provides powerful computational tools for detection, segmentation, classification, prediction, and prognosis. We highlight and review a few advanced MRI techniques for the assessment of brain metastases-specifically for (1) diagnosis, including differentiating between malignancy types and (2) evaluation of treatment response, including the differentiation between radiation necrosis and disease progression.

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Section: Differentiation Of Malignancy Typesmentioning

confidence: 80%

Section: Differentiation Of Malignancy Typesmentioning

confidence: 99%

Section: Differentiation Of Malignancy Typesmentioning

confidence: 99%

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Advanced Imaging of Brain Metastases: From Augmenting Visualization and Improving Diagnosis to Evaluating Treatment Response

2020

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“…Expanding the input parameter space by adding complementary contrast with new information may provide new features and lead to a higher classification accuracy and reliability. SWI has just started to be incorporated into such models proving that it can indeed provide complementary discriminators, e.g., in the differentiation of glioblastoma and solitary brain metastases (66). It needs to be determined in future studies to which extent SWI will play a role for these applications.…”

Section: Potential Future Applications: Texture Analysis and Radiomicsmentioning

confidence: 99%

Clinical Value of Susceptibility Weighted Imaging of Brain Metastases

2020

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MRI is used for screening, initial diagnosis and follow-up of brain metastases. Multiparametric MRI protocols encompass an array of image sequences to depict key aspects of metastases morphology and biology. Given the recent safety concerns of Gd-administration and the retention of linear Gd-agents in the brain, non-contrast sequences are currently evaluated regarding their diagnostic value for brain imaging studies. Susceptibility weighted imaging has been established as a valuable clinical and research tool that is heavily used in clinical practice and utilized in diverse pathologies ranging from neuroinflammation, neurovascular disease to neurooncology. We review the value of SWI in the field of brain metastases with an emphasis on its role in early diagnosis, determination of the primary tumor entity, treatment monitoring and discuss therapy-associated changes that can affect SWI. We also review recent insights on the role of "isolated SWI signals" and the controversy on the specificity of SWI for the early detection of brain metastases.

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“…Diagnosis of GBM is based on magnetic resonance imaging, computed tomography, and positron emission tomography (PET) imaging. To date, the imaging protocol is still controversial and lacks of accurate tools, because of the abundant rate of peritumoral necrosis and inflammation that smooth the abilities to closely define the tumor boundaries and affect the efficiency of early diagnosis (Petrujkiaea et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Effects of Photons Irradiation on 18F-FET and 18F-DOPA Uptake by T98G Glioblastoma Cells

et al. 2020

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Computational quantitative MR image features - a potential useful tool in differentiating glioblastoma from solitary brain metastasis

Cited by 31 publications

References 38 publications

Advanced Imaging of Brain Metastases: From Augmenting Visualization and Improving Diagnosis to Evaluating Treatment Response

Advanced Imaging of Brain Metastases: From Augmenting Visualization and Improving Diagnosis to Evaluating Treatment Response

Clinical Value of Susceptibility Weighted Imaging of Brain Metastases

Effects of Photons Irradiation on 18F-FET and 18F-DOPA Uptake by T98G Glioblastoma Cells

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