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Chekhonin IV, Cohen O, Otazo R, Young RJ, Holodny AI, Pronin IN. Magnetic resonance relaxometry in quantitative imaging of brain gliomas: A literature review. Neuroradiol J 2024; 37:267-275. [PMID: 37133228 PMCID: PMC11138331 DOI: 10.1177/19714009231173100] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/04/2023] Open
Abstract
Magnetic resonance (MR) relaxometry is a quantitative imaging method that measures tissue relaxation properties. This review discusses the state of the art of clinical proton MR relaxometry for glial brain tumors. Current MR relaxometry technology also includes MR fingerprinting and synthetic MRI, which solve the inefficiencies and challenges of earlier techniques. Despite mixed results regarding its capability for brain tumor differential diagnosis, there is growing evidence that MR relaxometry can differentiate between gliomas and metastases and between glioma grades. Studies of the peritumoral zones have demonstrated their heterogeneity and possible directions of tumor infiltration. In addition, relaxometry offers T2* mapping that can define areas of tissue hypoxia not discriminated by perfusion assessment. Studies of tumor therapy response have demonstrated an association between survival and progression terms and dynamics of native and contrast-enhanced tumor relaxometric profiles. In conclusion, MR relaxometry is a promising technique for glial tumor diagnosis, particularly in association with neuropathological studies and other imaging techniques.
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Affiliation(s)
- Ivan V Chekhonin
- Federal State Autonomous Institution N.N. Burdenko National Medical Research Center of Neurosurgery of the Ministry of Health of the Russian Federation, Moscow, Russian Federation
- Federal State Budgetary Institution V.P. Serbsky National Medical Research Centre for Psychiatry and Narcology of the Ministry of Health of the Russian Federation, Moscow, Russian Federation
| | - Ouri Cohen
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Ricardo Otazo
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Robert J Young
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Andrei I Holodny
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Radiology, Weill Medical College of Cornell University, New York, NY, USA
- Department of Neuroscience, Weill Cornell Graduate School of the Medical Sciences, New York, NY, USA
| | - Igor N Pronin
- Federal State Autonomous Institution N.N. Burdenko National Medical Research Center of Neurosurgery of the Ministry of Health of the Russian Federation, Moscow, Russian Federation
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KOZLER P, HERYNEK V, MAREŠOVÁ D, PEREZ P, ŠEFC L, POKORNÝ J. Effect of Methylprednisolone on Experimental Brain Edema in Magnetic Resonance Imaging. Physiol Res 2020; 69:919-926. [DOI: 10.33549/physiolres.934460] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
Magnetic resonance imaging has been used for evaluating of a brain edema in experimental animals to assess cytotoxic and vasogenic edema by the apparent diffusion coefficient (ADC) and T2 imaging. This paper brings information about the effectiveness of methylprednisolone (MP) on experimental brain edema. A total of 24 rats were divided into three groups of 8 animals each. Rats with cytotoxic/intracellular brain edema induced by water intoxication were assigned to the group WI. These rats also served as the additional control group CG when measured before the induction of edema. A third group (WIMP) was intraperitoneally administered with methylprednisolone 100 mg/kg during water intoxication treatment. The group WI+MP was injected with methylprednisolone 50 mg/kg into the carotid artery within two hours after the water intoxication treatment. We evaluated the results in four groups. Two control groups (CG, WI) and two experimental groups (WIMP, WI+MP). Rats were subjected to MR scanning 24 h after edema induction. We observed significantly increased ADC values in group WI in both evaluated areas – cortex and hippocampus, which proved the occurrence of experimental vasogenic edema, while ADC values in groups WIMP and WI+MP were not increased, indicating that the experimental edema was not developed and thus confirming the protective effect of MP.
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Affiliation(s)
- P KOZLER
- Institute of Physiology, First Faculty of Medicine, Charles University, Prague, Czech Republic
| | - V HERYNEK
- Center for Advanced Preclinical Imaging, First Faculty of Medicine, Charles University, Prague, Czech Republic
| | - D MAREŠOVÁ
- Institute of Physiology, First Faculty of Medicine, Charles University, Prague, Czech Republic
| | - P PEREZ
- Center for Advanced Preclinical Imaging, First Faculty of Medicine, Charles University, Prague, Czech Republic
| | - L ŠEFC
- Center for Advanced Preclinical Imaging, First Faculty of Medicine, Charles University, Prague, Czech Republic
| | - J POKORNÝ
- Institute of Physiology, First Faculty of Medicine, Charles University, Prague, Czech Republic
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de Blank P, Badve C, Gold DR, Stearns D, Sunshine J, Dastmalchian S, Tomei K, Sloan AE, Barnholtz-Sloan JS, Lane A, Griswold M, Gulani V, Ma D. Magnetic Resonance Fingerprinting to Characterize Childhood and Young Adult Brain Tumors. Pediatr Neurosurg 2019; 54:310-318. [PMID: 31416081 DOI: 10.1159/000501696] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/26/2019] [Accepted: 06/23/2019] [Indexed: 11/19/2022]
Abstract
OBJECT Magnetic resonance fingerprinting (MRF) allows rapid, simultaneous mapping of T1 and T2 relaxation times and may be an important diagnostic tool to measure tissue characteristics in pediatric brain tumors. We examined children and young adults with primary brain tumors to determine whether MRF can discriminate tumor from normal-appearing white matter and distinguish tumor grade. METHODS MRF was performed in 23 patients (14 children and 9 young adults) with brain tumors (19 low-grade glioma, 4 high-grade tumors). T1 and T2 values were recorded in regions of solid tumor (ST), peritumoral white matter (PWM), and contralateral white matter (CWM). Nonparametric tests were used for comparison between groups and regions. RESULTS Median scan time for MRF and a sequence for tumor localization was 11 min. MRF-derived T1 and T2 values distinguished ST from CWM (T1: 1,444 ± 254 ms vs. 938 ± 96 ms, p = 0.0002; T2: 61 ± 22 ms vs. 38 ± 9 ms, p = 0.0003) and separated high-grade tumors from low-grade tumors (T1: 1,863 ± 70 ms vs. 1,355 ± 187 ms, p = 0.007; T2: 90 ± 13 ms vs. 56 ± 19 ms, p = 0.013). PWM was distinct from CWM (T1: 1,261 ± 359 ms vs. 933 ± 104 ms, p = 0.0008; T2: 65 ± 51 ms vs. 38 ± 8 ms, p = 0.008), as well as from tumor (T1: 1,261 ± 371 ms vs. 1,462 ± 248 ms, p = 0.047). CONCLUSIONS MRF is a fast sequence that can rapidly distinguish important tissue components in pediatric brain tumor patients. MRF-derived T1 and T2 distinguished tumor from normal-appearing white matter, differentiated tumor grade, and found abnormalities in peritumoral regions. MRF may be useful for rapid quantitative measurement of tissue characteristics and distinguish tumor grade in children and young adults with brain tumors.
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Affiliation(s)
- Peter de Blank
- Department of Pediatrics, University of Cincinnati and the Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA,
| | - Chaitra Badve
- Department of Radiology, University Hospitals Cleveland, Cleveland, Ohio, USA
| | - Deborah Rukin Gold
- Department of Neurology, University Hospitals Cleveland, Cleveland, Ohio, USA
| | - Duncan Stearns
- Department of Pediatrics, University Hospitals Cleveland, Cleveland, Ohio, USA
| | - Jeffrey Sunshine
- Department of Radiology, University Hospitals Cleveland, Cleveland, Ohio, USA
| | - Sara Dastmalchian
- Department of Radiology, University Hospitals Cleveland, Cleveland, Ohio, USA
| | - Krystal Tomei
- Department of Neurosurgery, University Hospitals Cleveland, Cleveland, Ohio, USA
| | - Andrew E Sloan
- Department of Neurosurgery, University Hospitals Cleveland, Cleveland, Ohio, USA.,Case Comprehensive Cancer Center, Cleveland, Ohio, USA
| | - Jill S Barnholtz-Sloan
- Department of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA.,Case Comprehensive Cancer Center, Cleveland, Ohio, USA
| | - Adam Lane
- Department of Pediatrics, University of Cincinnati and the Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
| | - Mark Griswold
- Department of Radiology, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA
| | - Vikas Gulani
- Department of Radiology, University Hospitals Cleveland, Cleveland, Ohio, USA
| | - Dan Ma
- Department of Radiology, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA
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Badve C, Yu A, Dastmalchian S, Rogers M, Ma D, Jiang Y, Margevicius S, Pahwa S, Lu Z, Schluchter M, Sunshine J, Griswold M, Sloan A, Gulani V. MR Fingerprinting of Adult Brain Tumors: Initial Experience. AJNR Am J Neuroradiol 2016; 38:492-499. [PMID: 28034994 DOI: 10.3174/ajnr.a5035] [Citation(s) in RCA: 120] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2016] [Accepted: 10/11/2016] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE MR fingerprinting allows rapid simultaneous quantification of T1 and T2 relaxation times. This study assessed the utility of MR fingerprinting in differentiating common types of adult intra-axial brain tumors. MATERIALS AND METHODS MR fingerprinting acquisition was performed in 31 patients with untreated intra-axial brain tumors: 17 glioblastomas, 6 World Health Organization grade II lower grade gliomas, and 8 metastases. T1, T2 of the solid tumor, immediate peritumoral white matter, and contralateral white matter were summarized within each ROI. Statistical comparisons on mean, SD, skewness, and kurtosis were performed by using the univariate Wilcoxon rank sum test across various tumor types. Bonferroni correction was used to correct for multiple-comparison testing. Multivariable logistic regression analysis was performed for discrimination between glioblastomas and metastases, and area under the receiver operator curve was calculated. RESULTS Mean T2 values could differentiate solid tumor regions of lower grade gliomas from metastases (mean, 172 ± 53 ms, and 105 ± 27 ms, respectively; P = .004, significant after Bonferroni correction). The mean T1 of peritumoral white matter surrounding lower grade gliomas differed from peritumoral white matter around glioblastomas (mean, 1066 ± 218 ms, and 1578 ± 331 ms, respectively; P = .004, significant after Bonferroni correction). Logistic regression analysis revealed that the mean T2 of solid tumor offered the best separation between glioblastomas and metastases with an area under the curve of 0.86 (95% CI, 0.69-1.00; P < .0001). CONCLUSIONS MR fingerprinting allows rapid simultaneous T1 and T2 measurement in brain tumors and surrounding tissues. MR fingerprinting-based relaxometry can identify quantitative differences between solid tumor regions of lower grade gliomas and metastases and between peritumoral regions of glioblastomas and lower grade gliomas.
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Affiliation(s)
- C Badve
- From the Department of Radiology (C.B., S.D., D.M., S.P., J.S., M.G., V.G.), University Hospitals Cleveland Medical Center and Case Western Reserve University, Cleveland, Ohio
| | - A Yu
- School of Medicine (A.Y., M.R., Z.L.)
| | - S Dastmalchian
- From the Department of Radiology (C.B., S.D., D.M., S.P., J.S., M.G., V.G.), University Hospitals Cleveland Medical Center and Case Western Reserve University, Cleveland, Ohio
| | - M Rogers
- School of Medicine (A.Y., M.R., Z.L.)
| | - D Ma
- From the Department of Radiology (C.B., S.D., D.M., S.P., J.S., M.G., V.G.), University Hospitals Cleveland Medical Center and Case Western Reserve University, Cleveland, Ohio
| | - Y Jiang
- Department of Biomedical Engineering (Y.J., M.G., V.G.)
| | - S Margevicius
- Department of Epidemiology and Biostatistics (S.M., M.S.), Case Western Reserve University, Cleveland, Ohio
| | - S Pahwa
- From the Department of Radiology (C.B., S.D., D.M., S.P., J.S., M.G., V.G.), University Hospitals Cleveland Medical Center and Case Western Reserve University, Cleveland, Ohio
| | - Z Lu
- School of Medicine (A.Y., M.R., Z.L.)
| | - M Schluchter
- Department of Epidemiology and Biostatistics (S.M., M.S.), Case Western Reserve University, Cleveland, Ohio
| | - J Sunshine
- From the Department of Radiology (C.B., S.D., D.M., S.P., J.S., M.G., V.G.), University Hospitals Cleveland Medical Center and Case Western Reserve University, Cleveland, Ohio
| | - M Griswold
- From the Department of Radiology (C.B., S.D., D.M., S.P., J.S., M.G., V.G.), University Hospitals Cleveland Medical Center and Case Western Reserve University, Cleveland, Ohio.,Department of Biomedical Engineering (Y.J., M.G., V.G.)
| | - A Sloan
- Departments of Neurosurgery and Pathology (A.S.), University Hospitals-Cleveland Medical Center, Seidman Cancer Center and the Case Comprehensive Cancer Center, Cleveland, Ohio
| | - V Gulani
- From the Department of Radiology (C.B., S.D., D.M., S.P., J.S., M.G., V.G.), University Hospitals Cleveland Medical Center and Case Western Reserve University, Cleveland, Ohio.,Department of Biomedical Engineering (Y.J., M.G., V.G.)
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The Diagnostic Ability of Follow-Up Imaging Biomarkers after Treatment of Glioblastoma in the Temozolomide Era: Implications from Proton MR Spectroscopy and Apparent Diffusion Coefficient Mapping. BIOMED RESEARCH INTERNATIONAL 2015; 2015:641023. [PMID: 26448943 PMCID: PMC4584055 DOI: 10.1155/2015/641023] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/23/2015] [Revised: 04/25/2015] [Accepted: 04/27/2015] [Indexed: 12/02/2022]
Abstract
Objective. To prospectively determine institutional cut-off values of apparent diffusion coefficients (ADCs) and concentration of tissue metabolites measured by MR spectroscopy (MRS) for early differentiation between glioblastoma (GBM) relapse and treatment-related changes after standard treatment. Materials and Methods. Twenty-four GBM patients who received gross total resection and standard adjuvant therapy underwent MRI examination focusing on the enhancing region suspected of tumor recurrence. ADC maps, concentrations of N-acetylaspartate, choline, creatine, lipids, and lactate, and metabolite ratios were determined. Final diagnosis as determined by biopsy or follow-up imaging was correlated to the results of advanced MRI findings. Results. Eighteen (75%) and 6 (25%) patients developed tumor recurrence and pseudoprogression, respectively. Mean time to radiographic progression from the end of chemoradiotherapy was 5.8 ± 5.6 months. Significant differences in ADC and MRS data were observed between those with progression and pseudoprogression. Recurrence was characterized by N-acetylaspartate ≤ 1.5 mM, choline/N-acetylaspartate ≥ 1.4 (sensitivity 100%, specificity 91.7%), N-acetylaspartate/creatine ≤ 0.7, and ADC ≤ 1300 × 10−6 mm2/s (sensitivity 100%, specificity 100%). Conclusion. Institutional validation of cut-off values obtained from advanced MRI methods is warranted not only for diagnosis of GBM recurrence, but also as enrollment criteria in salvage clinical trials and for reporting of outcomes of initial treatment.
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Imani F, Boada FE, Lieberman FS, Davis DK, Mountz JM. Molecular and metabolic pattern classification for detection of brain glioma progression. Eur J Radiol 2013; 83:e100-5. [PMID: 24321226 DOI: 10.1016/j.ejrad.2013.06.033] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2013] [Revised: 06/06/2013] [Accepted: 06/07/2013] [Indexed: 01/01/2023]
Abstract
OBJECTIVES The ability to differentiate between brain tumor progression and radiation therapy induced necrosis is critical for appropriate patient management. In order to improve the differential diagnosis, we combined fluorine-18 2-fluoro-deoxyglucose positron emission tomography ((18)F-FDG PET), proton magnetic resonance spectroscopy ((1)H MRS) and histological data to develop a multi-parametric machine-learning model. METHODS We enrolled twelve post-therapy patients with grade 2 and 3 gliomas that were suspicious of tumor progression. All patients underwent (18)F-FDG PET and (1)H MRS. Maximal standardized uptake value (SUVmax) of the tumors and reference regions were obtained. Multiple 2D maps of choline (Cho), creatine (Cr), and N-acetylaspartate (NAA) of the tumors were generated. A support vector machine (SVM) learning model was established to take imaging biomarkers and histological data as input vectors. A combination of clinical follow-up and multiple sequential MRI studies served as the basis for assessing the clinical outcome. All vector combinations were evaluated for diagnostic accuracy and cross validation. The optimal cutoff value of individual parameters was calculated using Receiver operating characteristic (ROC) plots. RESULTS The SVM and ROC analyses both demonstrated that SUVmax of the lesion was the most significant single diagnostic parameter (75% accuracy) followed by Cho concentration (67% accuracy). SVM analysis of all paired parameters showed SUVmax and Cho concentration in combination could achieve 83% accuracy. SUVmax of the lesion paired with SUVmax of the white matter as well as the tumor Cho paired with the tumor Cr both showed 83% accuracy. These were the most significant paired diagnostic parameters of either modality. Combining all four parameters did not improve the results. However, addition of two more parameters, Cho and Cr of brain parenchyma contralateral to the tumor, increased the accuracy to 92%. CONCLUSION This study suggests that SVM models may improve detection of glioma progression more accurately than single parametric imaging methods. RESEARCH SUPPORT National Cancer Institute, Cancer Center Support Grant Supplement Award, Imaging Response Assessment Teams.
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Affiliation(s)
- Farzin Imani
- Department of Radiology, University of Pittsburgh Medical Center, PA, United States.
| | - Fernando E Boada
- Department of Radiology, University of Pittsburgh Medical Center, PA, United States
| | - Frank S Lieberman
- Department of Neurology, University of Pittsburgh Medical Center, PA, United States
| | - Denise K Davis
- Department of Radiology, University of Pittsburgh Medical Center, PA, United States
| | - James M Mountz
- Department of Radiology, University of Pittsburgh Medical Center, PA, United States
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Maudsley AA, Roy B, Gupta RK, Sheriff S, Awasthi R, Gu M, Husain N, Mohakud S, Behari S, Spielman DM. Association of metabolite concentrations and water diffusivity in normal appearing brain tissue with glioma grade. J Neuroimaging 2013; 24:585-589. [PMID: 24251857 DOI: 10.1111/jon.12063] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2013] [Revised: 07/09/2013] [Accepted: 08/03/2013] [Indexed: 11/28/2022] Open
Abstract
BACKGROUND AND PURPOSE Studies of brain tumors have identified altered tissue metabolism and water diffusion in MRI normal appearing tissue regions. In this retrospective study the relationship of these imaging measures with tumor grade in gliomas was investigated. METHODS MR spectroscopic imaging of whole brain and mean diffusivity (MD) measurements were obtained in subjects with untreated glioma and from normal control subjects. Mean metabolite values for N-acetylaspartate (NAA), total creatine (Cre), and total choline (Cho) were obtained in gray- and white-matter regions for the hemisphere contralateral to the tumor location, and MD values were obtained from contralateral normal-appearing white matter. Analyses tested for differences in mean values between subject groups while accounting for age. RESULTS Analysis demonstrated increased NAA/Cre and MD, and decreased Cho/NAA for all tumor grades relative to control values. Differences between tumor grades were also observed for NAA, NAA/Cre, and Cho/NAA. Abnormal values of water diffusion were also observed, but with only a weak association between alterations in diffusion and tissue metabolites. CONCLUSIONS This study supports previous observations of altered tissue metabolism and water diffusion in normal-appearing white matter while additionally finding differences of metabolite values in gray matter and an association with tumor grade.
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Affiliation(s)
| | - Bhaswati Roy
- Departments of Radiodiagnosis, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, India
| | - Rakesh K Gupta
- Departments of Radiodiagnosis, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, India
| | | | - Rishi Awasthi
- Departments of Radiodiagnosis, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, India
| | - Meng Gu
- Department of Radiology, Stanford University, California
| | - Nuzhat Husain
- Department of Pathology, Ram Manohar Lohia, Institute of Medical Sciences, Lucknow, India
| | - Sudipa Mohakud
- Departments of Radiodiagnosis, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, India
| | - Sanjay Behari
- Departments of Neurosurgery, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, India
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Sáez C, Robles M, García-Gómez JM. Comparative study of probability distribution distances to define a metric for the stability of multi-source biomedical research data. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2013; 2013:3226-9. [PMID: 24110415 DOI: 10.1109/embc.2013.6610228] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Abstract
Research biobanks are often composed by data from multiple sources. In some cases, these different subsets of data may present dissimilarities among their probability density functions (PDF) due to spatial shifts. This, may lead to wrong hypothesis when treating the data as a whole. Also, the overall quality of the data is diminished. With the purpose of developing a generic and comparable metric to assess the stability of multi-source datasets, we have studied the applicability and behaviour of several PDF distances over shifts on different conditions (such as uni- and multivariate, different types of variable, and multi-modality) which may appear in real biomedical data. From the studied distances, we found information-theoretic based and Earth Mover's Distance to be the most practical distances for most conditions. We discuss the properties and usefulness of each distance according to the possible requirements of a general stability metric.
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Jiru F, Skoch A, Wagnerova D, Dezortova M, Hajek M. jSIPRO - analysis tool for magnetic resonance spectroscopic imaging. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 2013; 112:173-188. [PMID: 23870172 DOI: 10.1016/j.cmpb.2013.06.018] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/22/2012] [Revised: 06/14/2013] [Accepted: 06/17/2013] [Indexed: 06/02/2023]
Abstract
Magnetic resonance spectroscopic imaging (MRSI) involves a huge number of spectra to be processed and analyzed. Several tools enabling MRSI data processing have been developed and widely used. However, the processing programs primarily focus on sophisticated spectra processing and offer limited support for the analysis of the calculated spectroscopic maps. In this paper the jSIPRO (java Spectroscopic Imaging PROcessing) program is presented, which is a java-based graphical interface enabling post-processing, viewing, analysis and result reporting of MRSI data. Interactive graphical processing as well as protocol controlled batch processing are available in jSIPRO. jSIPRO does not contain a built-in fitting program. Instead, it makes use of fitting programs from third parties and manages the data flows. Currently, automatic spectra processing using LCModel, TARQUIN and jMRUI programs are supported. Concentration and error values, fitted spectra, metabolite images and various parametric maps can be viewed for each calculated dataset. Metabolite images can be exported in the DICOM format either for archiving purposes or for the use in neurosurgery navigation systems.
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Affiliation(s)
- Filip Jiru
- MR-Unit, Department of Diagnostic and Interventional Radiology, Institute for Clinical and Experimental Medicine, Videnska 1958/9, 14021 Prague 4, Czech Republic.
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