Edna Marina de Souza

@article{nokey,

title = {Influence of brain region of interest location for apparent diffusion coefficient maps calculation for reference values to be used in the in vivo characterization of brain tumors in magnetic resonance images},

author = {Edna Marina de Souza and Gabriela Castellano and Eduardo Tavares Costa},

doi = {https://doi.org/10.29384/rbfm.2011.v5.n1.p89-92},

year  = {2023},

date = {2023-10-27},

urldate = {2023-10-27},

journal = {Revista Brasileira De Física Médica},

volume = {5},

issue = {1},

pages = {89–92},

abstract = {In general, pathologic processes, such as neoplasic cell changes, tend to alter the magnitude of structural organization by destruction or reorganization of membranous elements or by a change in cellularity. These changes will also have an impact on proton mobility, which can be followed up by DWI (diffusion weighted magnetic resonance imaging). From DWI is obtained the ADC (apparent diffusion coefficient) map, which is a representation of the magnitude of water diffusion at the points of a given region of interest (ROI). The purpose of this study was to assess the variation of ADC values in different brain ROIs of normal subjects, using a computer tool previously developed. The aim of this assessment was to verify whether ADC values could be used to differentiate between normal subjects and patients with multiform glioblastoma (a high-grade glioma) and meningioma. ADC maps were calculated for 10 controls, 10 patients with glioblastoma and 10 with meningioma. For controls, mean ADC values were calculated for 10 different ROIs, located in the same places where the tumors were present in the patients. These values were then averaged over ROIs and over subjects, giving a mean ADC value of (8.65±0.98)x10-4 mm2 /s. The mean ADC values found for brain tumors were (5.03±0.67) x10-4 mm2 /s for meningioma and (2.83±0.45)x10-4 mm2 /s for glioblastoma. We concluded that the ROIs used for computing brain ADC values for controls were not essential for the estimation of normal reference ADC values to be used in the differentiation between these types of tumors and healthy brain tissue},

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pubstate = {published},

tppubtype = {article}

}

@article{pmid33596528,

title = {Adipose tissue radiodensity: A new prognostic biomarker in people with multiple myeloma},

author = {Ademar Dantas da Cunha and Marina Nogueira Silveira and Maria Emília Seren Takahashi and Edna Marina de Souza and Camila Mosci and Celso Dario Ramos and Sandra Regina Brambilla and Fernando Vieira Pericole and Carla M Prado and Maria Carolina Santos Mendes and José Barreto Campello Carvalheira},

doi = {10.1016/j.nut.2021.111141},

issn = {1873-1244},

year  = {2021},

date = {2021-06-01},

journal = {Nutrition},

volume = {86},

pages = {111141},

abstract = {OBJECTIVES: Standard prognostic markers based on individual characteristics of individuals with multiple myeloma (MM) remain scarce. Body-composition features have often been associated with survival outcomes in different cancers. However, the association of adipose tissue radiodensity with MM prognosis has not yet, to our knowledge, been explored.



METHODS: Computed tomography at the third lumbar vertebra was used for body-composition analysis, including adipose tissue radiodensity, in 91 people with MM. Additionally, fludeoxyglucose F 18 (F-FDG) positron emission tomography was used to assess adipose tissue F-FDG uptake. Proinflammatory cytokine and adipokine levels were measured.



RESULTS: Event-free survival and overall survival were both shorter in participants with high subcutaneous adipose tissue (SAT) radiodensity. Those in the highest SAT radiodensity tertile had an independently higher risk for both overall survival (hazard ratio, 4.55; 95% confidence interval, 1.26-16.44; P = 0.036) and event-free survival (hazard ratio, 3.08; 95% confidence interval, 1.02-9.27; P = 0.035). Importantly, higher SAT radiodensity was significantly correlated with increased F-FDG adipose tissue uptake and proinflammatory cytokine (tumor necrosis factor and interleukin-6) levels, and with decreased leptin levels.



CONCLUSIONS: SAT radiodensity may serve as a biomarker to predict host-related metabolic and proinflammatory milieu, which ultimately correlates with MM prognosis.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{pmid33632534,

title = {Visceral adipose tissue glucose uptake is linked to prognosis in multiple myeloma patients: An exploratory study},

author = {Ademar Dantas da Cunha Júnior and Marina Nogueira Silveira and Maria Emilia Seren Takahashi and Edna Marina de Souza and Camila Mosci and Celso Dario Ramos and Sandra Regina Brambilla and Fernando Vieira Pericole and Carla M Prado and Maria Carolina Santos Mendes and José Barreto Campello Carvalheira},

doi = {10.1016/j.clnu.2021.02.010},

issn = {1532-1983},

year  = {2021},

date = {2021-06-01},

journal = {Clin Nutr},

volume = {40},

number = {6},

pages = {4075--4084},

abstract = {BACKGROUND & AIMS: The use of computerized tomography to opportunistically assess body composition has highlighted abnormalities such as low muscle mass and high adiposity may be hidden conditions in cancer patients. However, the role of skeletal muscle (SM), subcutaneous (SAT) and visceral (VAT) adipose tissue glucose uptake measured by F-fluorodeoxyglucose (F-FDG) positron emission tomography (PET)-CT on patient prognostication is unclear.



METHODS: Patients with multiple myeloma (MM) with satisfactory image frame for assessing body composition and for semi-quantification of SM, SAT and VAT glucose uptakes were included. Plasmatic pro-inflammatory cytokine and adipokine levels were measured.



RESULTS: High VAT mean standardized uptake value (SUV) at baseline was associated with shorter event-free survival (EFS) (hazard ratio [HR]: 7.89; 95% confidence interval [CI], 1.58-39.30; P = 0.012) and overall survival (OS) (HR, 15.24; 95% CI, 2.69-86.30; P = 0.002) among patients with newly diagnosed MM, even after adjustment for covariates. The highest tertile of VAT SUV was significantly correlated with worse MM-EFS (HR for the highest vs the lowest tertile 3.71; 95% CI, 1.22-10.56; P = 0.035) and mortality (HR, 4.41; 95% CI, 1.28-12.77; P = 0.019). Notably, patients with higher VAT SUV presented with lower VAT area, VAT index, higher SAT SUV, and higher number of individuals with visceral obesity (all P < 0.01). Additionally, we found a negative correlation between VAT mean SUV with leptin (R = 0.20, P = 0.003); no correlations were detected between VAT mean SUV and resistin, tumor necrosis factor (TNF) or interleukin (IL)-6.



CONCLUSIONS: Functional VAT activity estimated by F-FDG PET-CT is a relevant prognostic factor in MM patients, specifically, a higher VAT SUV might be an early biomarker of cancer cachexia in these patients.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{pmid32058446,

title = {Computed tomography-based skeletal segmentation for quantitative PET metrics of bone involvement in multiple myeloma},

author = {Maria Emília Seren Takahashi and Camila Mosci and Edna Marina de Souza and Sergio Querino Brunetto and Cármino de Souza and Fernando Vieira Pericole and Irene Lorand-Metze and Celso Dario Ramos},

doi = {10.1097/MNM.0000000000001165},

issn = {1473-5628},

year  = {2020},

date = {2020-04-01},

urldate = {2020-04-01},

journal = {Nucl Med Commun},

volume = {41},

number = {4},

pages = {377--382},

abstract = {PURPOSE: Quantifications in nuclear medicine are occasionally limited by the lack of standardization for defining volumes of interest (VOIs) on functional images. In the present article, we propose the use of computed tomography (CT)-based skeletal segmentation to determine anatomically the VOI in order to calculate quantitative parameters of fluorine 18 fluorodeoxyglucose (F-FDG) PET/CT images from patients with multiple myeloma.



METHODS: We evaluated 101 whole-body F-FDG PET/CTs of 58 patients with multiple myeloma. An initial subjective visual analysis of the PET images was used to classify the bone involvement as negative/mild, moderate, or marked. Then, a fully automated CT-based segmentation of the skeleton was performed on PET images. The maximum, mean, and SD of the standardized uptake values (SUVmax, SUVmean, and SDSUV) were calculated for bone tissue and compared with the visual analysis.



RESULTS: Forty-five (44.5%), 32 (31.7%), and 24 (23.8%) PET images were, respectively, classified as negative/mild, moderate, or marked bone involvement. All quantitative parameters were significantly related to the visual assessment of bone involvement. This association was stronger for the SUVmean [odds ratio (OR): 10.52 (95% confidence interval (CI), 5.68-19.48); P < 0.0001] and for the SDSUV [OR: 5.58 (95% CI, 3.31-9.42); P < 0.001) than for the SUVmax [OR: 1.01 (95% CI, 1.003-1.022); P = 0.003].



CONCLUSION: CT-based skeletal segmentation allows for automated and therefore reproducible calculation of PET quantitative parameters of bone involvement in patients with multiple myeloma. Using this method, the SUVmean and its respective SD correlated better with the visual analysis of F-FDG PET images than SUVmax. Its value in staging and evaluating therapy response needs to be evaluated.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{pmid32547479,

title = {Clinical Usefulness of SISCOM-SPM Compared to Visual Analysis to Locate the Epileptogenic Zone},

author = {Carla Oliveira Young and Elba C S C Etchbehere and Edna Marina de Souza and Sergio Querino Brunetto and Allan de Oliveira Santos and Mariana C L Lima and Sebastian Ortiz-De la Rosa and Marina Alvim and Clarissa Lin Yasuda and Celso Darío Ramos and Fernando Cendes and Bárbara Juarez Amorim},

doi = {10.3389/fneur.2020.00467},

issn = {1664-2295},

year  = {2020},

date = {2020-01-01},

urldate = {2020-01-01},

journal = {Front Neurol},

volume = {11},

pages = {467},

abstract = { Subtraction of ictal-interictal SPECT co-registered to MRI (SISCOM) is a quantification tool that can improve the sensitivity and specificity of the epileptogenic zone (EZ) localization. Commercially available image analysis software packages for SISCOM are costly, and Statistical Parametric Mapping (SPM) could be an alternative free software for the definition of the EZ. There are only a few studies that compare SISCOM using SPM (SISCOM-SPM) with visual analysis.  To compare SISCOM-SPM vs. visual analysis for localization of the EZ in patients with pharmacoresistant focal epilepsies.  We evaluated all our patients with focal epilepsies that underwent ictal and interictal SPECT. We defined the reference standard to locate the EZ by pathology and follow-up (in patients submitted to surgery), or seizure semiology, serial EEG, long-term video-EEG, F-FDG PET/CT, and MRI (in patients who were not operated). We compared the location of the EZ by visual analysis of SPECT images and by SISCOM-SPM to the reference standard and classified as , or .  We included 23 patients. Visual analysis was  with the EZ reference standard in only 13 patients (56.5%), while SISCOM-SPM was  in 18 cases (78.3%), providing a 21.8% increase in the location of EZ. However, this difference was not significant due to the small sample size ( = 0.0856).  Our preliminary results demonstrate that, in clinical practice, SISCOM-SPM has the potential to add information that might help localize the EZ compared to visual analysis. SISCOM-SPM has a lower cost than other commercially available SISCOM software packages, which is an advantage for developing countries. Studies with more patients are necessary to confirm our findings.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{pmid31712729,

title = {Proposal for a Quantitative F-FDG PET/CT Metabolic Parameter to Assess the Intensity of Bone Involvement in Multiple Myeloma},

author = {Maria Emília Seren Takahashi and Camila Mosci and Edna Marina de Souza and Sergio Querino Brunetto and Elba Etchebehere and Allan O Santos and Mariana R Camacho and Eliana Miranda and Mariana C L Lima and Bárbara Juarez Amorim and Carmino de Souza and Fernando Vieira Pericole and Irene Lorand-Metze and Celso Dario Ramos},

doi = {10.1038/s41598-019-52740-2},

issn = {2045-2322},

year  = {2019},

date = {2019-11-01},

urldate = {2019-11-01},

journal = {Sci Rep},

volume = {9},

number = {1},

pages = {16429},

abstract = {Many efforts have been made to standardize the interpretation of F-FDG PET/CT in multiple myeloma (MM) with qualitative visual analysis or with quantitative metabolic parameters using various methods for lesion segmentation of PET images. The aim of this study was to propose a quantitative method for bone and bone marrow evaluation of F-FDG PET/CT considering the extent and intensity of bone F-FDG uptake: Intensity of Bone Involvement (IBI). Whole body F-FDG PET/CT of 59 consecutive MM patients were evaluated. Compact bone tissue was segmented in PET images using a global threshold for HU of the registered CT image. A whole skeleton mask was created and the percentage of its volume with F-FDG uptake above hepatic uptake was calculated (Percentage of Bone Involvement - PBI). IBI was defined by multiplying PBI by mean SUV above hepatic uptake. IBI was compared with visual analysis performed by two experienced nuclear medicine physicians. IBI calculation was feasible in all images (range:0.00-1.35). Visual analysis categorized PET exams into three groups (negative/mild, moderate and marked bone involvement), that had different ranges of IBI (multi comparison analysis, p < 0.0001). There was an inverse correlation between the patients' hemoglobin values and IBI (r = -0.248;p = 0.02). IBI score is an objective measure of bone and bone marrow involvement in MM, allowing the categorization of patients in different degrees of aggressiveness of the bone disease. The next step is to validate IBI in a larger group of patients, before and after treatment and in a multicentre setting.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}