KENIA REPISO CAMPANHOLO
Projetos de Pesquisa
Unidades Organizacionais
Instituto do Câncer do Estado de São Paulo, Hospital das Clínicas, Faculdade de Medicina
LIM/43 - Laboratório de Medicina Nuclear, Hospital das Clínicas, Faculdade de Medicina
LIM/43 - Laboratório de Medicina Nuclear, Hospital das Clínicas, Faculdade de Medicina
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conferenceObject C-11-pib pet showed a distinct cerebrospinal fluid pattern in patients with progressive multiple sclerosis(2020) PITOMBEIRA, M.; DURAN, F.; CAMPANHOLO, K.; SOUZA, A.; APOSTOLOS-PEREIRA, S.; RIMKUS, C. Medeiros; MENDES, M. F.; BUSATTO FILHO, G.; CALLEGARO, D.; BUCHPIGUEL, C.; FARIA, D. De Paula- Innate immune cells and myelin profile in multiple sclerosis: a multi-tracer PET/MR study(2022) PITOMBEIRA, Milena Sales; KOOLE, Michel; CAMPANHOLO, Kenia R.; SOUZA, Aline M.; DURAN, Fabio L. S.; SOLLA, Davi J. Fontoura; MENDES, Maria F.; PEREIRA, Samira L. Apostolos; RIMKUS, Carolina M.; BUSATTO, Geraldo Filho; CALLEGARO, Dagoberto; BUCHPIGUEL, Carlos A.; FARIA, Daniele de PaulaPurpose Neuropathological studies have demonstrated distinct profiles of microglia activation and myelin injury among different multiple sclerosis (MS) phenotypes and disability stages. PET imaging using specific tracers may uncover the in vivo molecular pathology and broaden the understanding of the disease heterogeneity. Methods We used the 18-kDa translocator protein (TSPO) tracer (R)[C-11]PK11195 and [C-11]PIB PET images acquired in a hybrid PET/MR 3 T system to characterize, respectively, the profile of innate immune cells and myelin content in 47 patients with MS compared to 18 healthy controls (HC). For the volume of interest (VOI)-based analysis of the dynamic data, (R)[C-11]PK11195 distribution volume (VT) was determined for each subject using a metabolite-corrected arterial plasma input function while [C-11]PIB distribution volume ratio (DVR) was estimated using a reference region extracted by a supervised clustering algorithm. A voxel-based analysis was also performed using Statistical Parametric Mapping. Functional disability was evaluated by the Expanded Disability Status Scale (EDSS), Multiple Sclerosis Functional Composite (MSFC), and Symbol Digit Modality Test (SDMT). Results In the VOI-based analysis, [C-11]PIB DVR differed between patients and HC in the corpus callosum (P = 0.019) while no differences in (R)-[C-11]PK11195 V-T were observed in patients relative to HC. Furthermore, no correlations or associations were observed between both tracers within the VOI analyzed. In the voxel-based analysis, high (R)-[C-11]PK11195 uptake was observed diffusively in the white matter (WM) when comparing the progressive phenotype and HC, and lower [C-11]PIB uptake was observed in certain WM regions when comparing the relapsing-remitting phenotype and HC. None of the tracers were able to differentiate phenotypes at voxel or VOI level in our cohort. Linear regression models adjusted for age, sex, and phenotype demonstrated that higher EDSS was associated with an increased (R)-[C-11]PK11195 V-T and lower [C-11]PIB DVR in corpus callosum (P = 0.001; P = 0.023), caudate (P = 0.015; P = 0.008), and total T-2 lesion (P = 0.007; P = 0.012), while better cognitive scores in SDMT were associated with higher [C-11]PIB DVR in the corpus callosum (P = 0.001), and lower (R)-[C-11]PK11195 V-T (P = 0.013). Conclusions Widespread innate immune cells profile and marked loss of myelin in T-2 lesions and regions close to the ventricles may occur independently and are associated with disability, in both WM and GM structures.
conferenceObject Spinal Cord imaging by [11C]PIB PET/MRI: evaluation of drawing methods and reference region use in myelin uptake quantification of Healthy Volunteers and Multiple Sclerosis Patients(2023) LUCENA, L. Zorante de; PITOMBEIRA, M. Sales; CAMPANHOLO, K. Repiso; BUCHPIGUEL, C. Alberto; FARIA, D. de Paula- Myelin imaging measures as predictors of cognitive impairment in MS patients: A hybrid PET-MRI study(2022) CAMPANHOLO, K. R.; PITOMBEIRA, M. S.; RIMKUS, C. M.; MENDES, M. F.; APOSTOLOS-PEREIRA, S. L.; BUSATTO FILHO, G.; CALLEGARO, D.; BUCHPIGUEL, C. A.; DURAN, F. L. S.; FARIA, D. De PaulaBackground: Cognitive impairment is one of the concerns of Multiple Sclerosis (MS) and has been related to myelin loss. Different neuroimaging methods have been used to quantify myelin and relate it to cognitive dysfunctions, among them Magnetization Transfer Ratio (MTR), Diffusion Tensor Imaging (DTI), and, more recently, Positron Emission Tomography (PET) with C-11-PIB. Objective: To investigate different myelin imaging modalities as predictors of cognitive dysfunction. Methods: Fifty-one MS patients and 24 healthy controls underwent clinical and neuropsychological assessment and MTR, DTI (Axial Diffusion-AD and Fractional Anisotropy-FA maps), and C-11-PIB PET images in a PET/MR hybrid system. Results: MTR and DTI(FA) differed in patients with or without cognitive impairment. There was an association of DTI(FA) and DTI(AD) with cognition and psychomotor speed for progressive MS, and of C-11-PIB uptake and MTR for relapsing-remitting MS. MTR in the Thalamus (beta=-0.51, p=0.021) and Corpus Callosum (beta=-0.24, p=0.033) were predictive of cognitive impairment. DTI-FA in the Caudate (beta=-26.93, p=0.006) presented abnormal predictive result. Conclusion: Lower myelin content by C-11-PIB uptake was associated with worse cognitive status. MTR was predictive of cognitive impairment in MS.
- The effect of lesion filling on brain network analysis in multiple sclerosis using structural magnetic resonance imaging(2022) WEIJDEN, Chris W. J. van der; PITOMBEIRA, Milena S.; HAVEMAN, Yudith R. A.; SANCHEZ-CATASUS, Carlos A.; CAMPANHOLO, Kenia R.; KOLINGER, Guilherme D.; RIMKUS, Carolina M.; BUCHPIGUEL, Carlos A.; DIERCKX, Rudi A. J. O.; RENKEN, Remco J.; MEILOF, Jan F.; VRIES, Erik F. J. de; FARIA, Daniele de PaulaBackground Graph theoretical network analysis with structural magnetic resonance imaging (MRI) of multiple sclerosis (MS) patients can be used to assess subtle changes in brain networks. However, the presence of multiple focal brain lesions might impair the accuracy of automatic tissue segmentation methods, and hamper the performance of graph theoretical network analysis. Applying ""lesion filling"" by substituting the voxel intensities of a lesion with the voxel intensities of nearby voxels, thus creating an image devoid of lesions, might improve segmentation and graph theoretical network analysis. This study aims to determine if brain networks are different between MS subtypes and healthy controls (HC) and if the assessment of these differences is affected by lesion filling. Methods The study included 49 MS patients and 19 HC that underwent a T1w, and T2w-FLAIR MRI scan. Graph theoretical network analysis was performed from grey matter fractions extracted from the original T1w-images and T1w-images after lesion filling. Results Artefacts in lesion-filled T1w images correlated positively with total lesion volume (r = 0.84, p < 0.001) and had a major impact on grey matter segmentation accuracy. Differences in sensitivity for network alterations were observed between original T1w data and after application of lesion filling: graph theoretical network analysis obtained from lesion-filled T1w images produced more differences in network organization in MS patients. Conclusion Lesion filling might reduce variability across subjects resulting in an increased detection rate of network alterations in MS, but also induces significant artefacts, and therefore should be applied cautiously especially in individuals with higher lesions loads.
conferenceObject Association of neuroinflammation and myelin content with functional disability in multiple sclerosis: a multi-tracer PET/MR study(2021) PITOMBEIRA, M.; KOOLE, M.; SOUZA, A. M. de; DURAN, F. L.; CAMPANHOLO, K. R.; SOLLA, D. J. Fontoura; RIMKUS, C. M.; MENDES, M. F.; APOSTOLOS-PEREIRA, S. L.; BUSATTO FILHO, G.; CALLEGARO, D.; BUCHPIGUEL, C. A.; FARIA, D. de Paula