Volumetric analysis of brain tissues from mr images for brain atrophy quantification

Abstract Objectives: We had a patient with COVID-19 encephalitis who demonstrated striking brain atrophy on 3 MRI scans 60 days apart. We aimed to quantify the volume loss and brain atrophy. This is the first report that quantifies brain atrophy with COVID encephalitis.Methods: A 75 year old partially vaccinated man with COVID encephalitis underwent 3 serial MRI scans. Manual volumetry using PACS software was used to average and quantify brain atrophy between the three scans.Results: In 60 days, our patient had approximately 11.52 % (117 ml) of forebrain atrophy, which corresponded to 78 years of accelerated aging. Cerebellar atrophy of 6.2% (7.7 cc) was also noted. Discussion: We have demonstrated striking brain atrophy with COVID encephalitis. Brain involvement and atrophy or connectome disruptions might contribute to post COVID cognitive impairment. Serial MRI scans after COVID-19 and volumetric analysis may detect post COVID brain atrophy as a cause of cognitive dysfunction.

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FLAIRectomy in Supramarginal Resection of Glioblastoma Correlates With Clinical Outcome and Survival Analysis: A Prospective, Single Institution, Case Series

Operative Neurosurgery ◽

10.1093/ons/opaa293 ◽

2020 ◽

Cited By ~ 1

Author(s):

Francesco Certo ◽

Roberto Altieri ◽

Massimiliano Maione ◽

Claudio Schonauer ◽

Giuseppe Sortino ◽

...

Keyword(s):

Clinical Outcome ◽

Dna Methyltransferase ◽

Aminolevulinic Acid ◽

Intraoperative Imaging ◽

Tumor Resection ◽

Case Series ◽

Progression Free Survival ◽

Residual Tumor ◽

Volumetric Analysis ◽

Mr Images

Abstract Background Extent of tumor resection (EOTR) in glioblastoma surgery plays an important role in improving survival. Objective To analyze the efficacy, safety and reliability of fluid-attenuated inversion-recovery (FLAIR) magnetic resonance (MR) images used to guide glioblastoma resection (FLAIRectomy) and to volumetrically measure postoperative EOTR, which was correlated with clinical outcome and survival. Methods A total of 68 glioblastoma patients (29 males, mean age 65.8) were prospectively enrolled. Hyperintense areas on FLAIR images, surrounding gadolinium-enhancing tissue on T1-weighted MR images, were screened for signal changes suggesting tumor infiltration and evaluated for supramaximal resection. The surgical protocol included 5-aminolevulinic acid (5-ALA) fluorescence, neuromonitoring, and intraoperative imaging tools. 5-ALA fluorescence intensity was analyzed and matched with the different sites on navigated MR, both on postcontrast T1-weighted and FLAIR images. Volumetric evaluation of EOTR on T1-weighted and FLAIR sequences was compared. Results FLAIR MR volumetric evaluation documented larger tumor volume than that assessed on contrast-enhancing T1 MR (72.6 vs 54.9 cc); residual tumor was seen in 43 patients; postcontrast T1 MR volumetric analysis showed complete resection in 64 cases. O6-methylguanine-DNA methyltransferase promoter was methylated in 8/68 (11.7%) cases; wild type Isocytrate Dehydrogenase-1 (IDH-1) was found in 66/68 patients. Progression free survival and overall survival (PFS and OS) were 17.43 and 25.11 mo, respectively. Multiple regression analysis showed a significant correlation between EOTR based on FLAIR, PFS (R2 = 0.46), and OS (R2 = 0.68). Conclusion EOTR based on FLAIR and 5-ALA fluorescence is feasible. Safety of resection relies on the use of neuromonitoring and intraoperative multimodal imaging tools. FLAIR-based EOTR appears to be a stronger survival predictor compared to gadolinium-enhancing, T1-based resection.

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Anatomy Dependent Multi-context Fuzzy Clustering for Separation of Brain Tissues in MR Images

Lecture Notes in Computer Science - Medical Imaging and Augmented Reality ◽

10.1007/978-3-540-28626-4_24 ◽

2004 ◽

pp. 196-203 ◽

Cited By ~ 1

Author(s):

C. Z. Zhu ◽

F. C. Lin ◽

L. T. Zhu ◽

T. Z. Jiang

Keyword(s):

Fuzzy Clustering ◽

Mr Images ◽

Brain Tissues

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Classification of Brain MR Images for the Diagnosis of Alzheimer’s Disease Based on Features Extracted from the Three Main Brain Tissues

Proceedings of the 6th Brazilian Technology Symposium (BTSym’20) - Smart Innovation, Systems and Technologies ◽

10.1007/978-3-030-75680-2_25 ◽

2021 ◽

pp. 212-219

Author(s):

Vitor H. Chaves Cambui ◽

Katia M. Poloni ◽

Ricardo J. Ferrari ◽

Keyword(s):

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

Mr Images ◽

Brain Mr Images ◽

Brain Tissues

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Magnetic resonance image evaluation of pallidotomy lesions: a volumetric and shape analysis

Neurosurgical FOCUS ◽

10.3171/foc.1997.2.3.6 ◽

1997 ◽

Vol 2 (3) ◽

pp. E5 ◽

Cited By ~ 3

Author(s):

Jeffrey M. Burns ◽

Steve Wilkinson ◽

John Overman ◽

Jennifer Kieltyka ◽

Thorsten Lundsgaarde ◽

...

Keyword(s):

Magnetic Resonance ◽

Globus Pallidus ◽

Magnetic Resonance Image ◽

Three Dimensional ◽

Volumetric Analysis ◽

Lesion Volume ◽

Slice Thickness ◽

Mr Images ◽

Ellipsoid Volume ◽

Volume Estimates

Determination of acute pallidotomy-produced lesion volumes, pre- and postpallidotomy globus pallidus (GP) volumes, and assessment of lesion shape using magnetic resonance (MR) imaging-based computerized segmentation (contouring) and three-dimensional rendering was made in 19 patients. Magnetic resonance image slice thickness (1.5 mm or 6 mm) was not found to be a significant factor influencing contour-based pallidotomy lesion volume estimates. Previously reported lesion volumes produced by pallidotomy have often been estimated using the ellipsoid volume formula. Using 1.5-mm-thick MR sections, contour-based pallidotomy-produced lesion volumes were significantly different from those volumes estimated by the ellipsoid formula. Globus pallidus volumes, estimated by contouring T2-weighted MR images, were bilaterally similar (2.4 ± 0.37 ml [right]; 2.2 ± 0.45 ml [left]). Postoperative GP volumes were found on the contralateral, unlesioned side to be 2 ± 0.45 ml and on the lesioned side to be 1.25 ± 0.45 ml. Using the contralateral, unlesioned side as a reference volume, approximately 39 ± 14% of the GP was visibly affected on the lesioned side. Seventeen of 18 patients had a favorable outcome with reduced dyskinesias and "off" time with improvement in parkinsonian symptoms. Analysis of computerized three-dimensional rendering of pallidotomy-produced lesions based on MR images showed no relationship between lesioning technique and resulting lesion shape. Important factors in the volumetric analysis of pallidotomy lesions are identified and allow reasonable assessment of the pallidotomy lesion volume and shape and the extent of the affected GP.

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