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2.
Sci Rep ; 9(1): 15410, 2019 10 28.
Artículo en Inglés | MEDLINE | ID: mdl-31659218

RESUMEN

Interactions between cerebral small vessel disease (CSVD) and renal dysfunction (RD) have been reported, but previous studies were mostly retrospective and limited to measurements of estimated glomerular filtration rate (eGFR). In this prospective, longitudinal study of patients with CSVD-related recent small subcortical infarcts (RSSI), we aimed at a comprehensive exploration of markers of early RD and their association with microvascular brain damage. We investigated 101 stroke patients (mean age: 60.2 ± 10.7 years) with an MRI-confirmed RSSI who underwent follow-up brain MRI 15 months post-stroke. Besides serum creatinine and eGFR, we assessed urinary Albumin-Creatinine Ratio and fibroblast growth factor-23 (FGF-23). RD was classified according to recent Kidney Disease: Improving Global Outcomes criteria. We identified 24 patients with RD, only six patients revealed an eGFR <60 mL/min/1.73 m². RSSI patients with RD more often had severe white matter hyperintensities (WMH, 58% vs. 36%, p = 0.04). CSVD progression was not dependent on RD. However, patients in the highest FGF-23 quartile more frequently had new microangiopathic lesions on follow-up MRI (50% vs. 21%, p = 0.03). Early RD was found in a quarter of RSSI patients and associated with WMH severity, but not CSVD progression. High FGF-23 indicates an increased risk for ongoing microvascular brain damage, warranting further studies.


Asunto(s)
Enfermedades de los Pequeños Vasos Cerebrales , Factores de Crecimiento de Fibroblastos/orina , Enfermedades Renales , Imagen por Resonancia Magnética , Accidente Cerebrovascular , Anciano , Enfermedades de los Pequeños Vasos Cerebrales/complicaciones , Enfermedades de los Pequeños Vasos Cerebrales/diagnóstico por imagen , Enfermedades de los Pequeños Vasos Cerebrales/orina , Femenino , Factor-23 de Crecimiento de Fibroblastos , Estudios de Seguimiento , Humanos , Enfermedades Renales/diagnóstico por imagen , Enfermedades Renales/etiología , Enfermedades Renales/orina , Masculino , Persona de Mediana Edad , Estudios Prospectivos , Accidente Cerebrovascular/diagnóstico por imagen , Accidente Cerebrovascular/etiología , Accidente Cerebrovascular/orina
4.
J Nucl Med ; 56(11): 1654-60, 2015 Nov.
Artículo en Inglés | MEDLINE | ID: mdl-26315830

RESUMEN

UNLABELLED: This study analyzed the predictive value of (99m)Tc-labeled macroaggregated albumin ((99m)Tc-MAA) SPECT for (90)Y-labeled resin microsphere therapy (radioembolization) by comparing uptake on pretherapeutic (99m)Tc-MAA SPECT with uptake on posttherapeutic (90)Y-bremsstrahlung SPECT. METHODS: We included 502 patients (55% male; mean age ± SD, 62 ± 11 y) who underwent radioembolization between 2005 and 2013 because of primary or secondary liver malignancies (colorectal cancer [n = 195, 38.8%], neuroendocrine tumors [n = 77, 15.3%], breast cancer [n = 68, 13.5%], hepatocellular carcinoma [n = 59, 11.8%], cholangiocellular carcinoma [n = 40, 8.0%], or urologic tumors [n = 14, 2.8%]). Manually drawn regions of interest around tumors and adjacent healthy liver tissue for up to 3 lesions per patient on (99m)Tc-MAA and (90)Y-bremsstrahlung scans were used to quantify mean counts per pixel and evaluate the mean tumor-to-background ratio (TBR). Data were given as mean ± SD. Additionally, uptake in lesions on (99m)Tc-MAA and (90)Y-bremsstrahlung scans was graded visually as homogeneously higher than (grade 1), heterogeneously higher than (grade 2), equal to (grade 3), or lower than (grade 4) uptake in normal liver tissue. The Mann-Whitney U test and Spearman correlation were used to evaluate statistically significant differences between (99m)Tc-MAA and (90)Y-bremsstrahlung SPECT. RESULTS: In total, 1,008 lesions were analyzed. Of the 23% (230/1,008) of lesions that had grade 1 uptake on (99m)Tc-MAA SPECT, 81% (186/230) remained grade 1 after radioembolization whereas 16% (37/230) were grade 2. Of the lesions with grade 2 uptake on (99m)Tc-MAA SPECT, 16% had grade 1 uptake and 82% grade 2 uptake after radioembolization. Of the lesions with grade 3 uptake, however, 27% had grade 1 uptake and 47% grade 2 uptake after radioembolization. Even among the lesions with grade 4 uptake on (99m)Tc-MAA SPECT, 21% had grade 1 uptake and 46% grade 2 uptake after radioembolization. The mean TBR on (99m)Tc-MAA and (90)Y-bremsstrahlung SPECT showed a significant, though low, correlation in the total population (r = 0.26; P < 0.001) and in hepatocellular carcinoma (r = 0.4; P < 0.001), cholangiocellular carcinoma (r = 0.3; P < 0.05), breast cancer (r = 0.3; P < 0.001), colorectal cancer (r = 0.2; P < 0.001), and neuroendocrine tumors (r = 0.2; P < 0.01). CONCLUSION: Although significant for most lesions, the correlation between (99m)Tc-MAA and (90)Y-microsphere mean TBR was low. Classifying uptake into 4 grades revealed that lesions with high uptake on (99m)Tc-MAA SPECT maintain high uptake within radioembolization. More than 60% of lesions with a pretherapeutically lower uptake than in healthy liver tissue, however, showed high uptake within radioembolization. Patients with low tumor uptake on pretherapeutic (99m)Tc-MAA imaging should not be excluded from radioembolization.


Asunto(s)
Embolización Terapéutica/métodos , Neoplasias Hepáticas/radioterapia , Radiofármacos , Agregado de Albúmina Marcado con Tecnecio Tc 99m , Tomografía Computarizada de Emisión de Fotón Único/métodos , Radioisótopos de Itrio , Adulto , Anciano , Anciano de 80 o más Años , Angiografía , Femenino , Humanos , Procesamiento de Imagen Asistido por Computador , Neoplasias Hepáticas/secundario , Masculino , Microesferas , Persona de Mediana Edad , Valor Predictivo de las Pruebas , Radiofármacos/farmacocinética , Agregado de Albúmina Marcado con Tecnecio Tc 99m/farmacocinética , Distribución Tisular , Radioisótopos de Itrio/farmacocinética
5.
J Nucl Med ; 56(3): 333-8, 2015 Mar.
Artículo en Inglés | MEDLINE | ID: mdl-25655623

RESUMEN

UNLABELLED: The aim of this study was to evaluate the (99m)Tc-macroaggregated albumin ((99m)Tc-MAA) uptake of primary and secondary liver tumors in a large patient cohort before (90)Y radioembolization. METHODS: We included 502 patients during the years 2005-2013 (55% male; mean age, 62 ± 11 y), who were examined with (99m)Tc-MAA SPECT or SPECT/CT before planned radioembolization. The patients had colorectal cancer (CRC; n = 195, 38.8%), neuroendocrine tumors (NET; n = 77, 15.3%), mammary cancer (MAM; n = 68, 13.5%), hepatocellular carcinoma (HCC; n = 59, 11.8%), cholangiocellular carcinoma (CCC; n = 40, 8.0%), or urologic tumors (URO; n = 14, 2.8%). SPECT with coregistered contrast-enhanced CT or MR imaging and SPECT/CT images of these patients were analyzed using dedicated software with regard to the (99m)Tc-MAA uptake of the liver tumors. Regions of interest were drawn around the lesions manually and quantified the uptake of up to 3 lesions per patient and also adjacent healthy liver tissue without evidence of tumor. We quantified maximum and mean counts per pixel and calculated tumor-to-background ratio (TBR). Data are reported as mean ± SD. Lesion uptake was classified as being homogeneously high (grade 1), heterogeneously high (grade 2), equal to that of the liver (grade 3), or low (grade 4). RESULTS: Grade 1 uptake was seen in 230 of 1,008 lesions (with the highest rates in sarcoma [47%], MAM [37%], and NET [32%]), grade 2 in 706 lesions (with the highest rates in CRC [77%], HCC [75%], and CCC [74%]), grade 4 in 57 lesions (with the highest rates in pancreatic cancer [17%], sarcoma [SAR] [13%], and MAM [8%]), and grade 3 in only 15 lesions. In quantitative analysis, the mean TBRmax of all lesions was 4.8 ± 4.1 (range, 0.2-50.1), with the highest values in HCC (6.0 ± 4.7; range, 1.4-21.6), NET (5.4 ± 4.9; range, 0.8-43.0), pancreatic cancer (4.0 ± 2.8; range, 0.9-12.2), and CCC (4.7 ± 2.9; range, 0.9-11.6), and the lowest values in SAR (3.5 ± 1.8; range, 0.8-2.7) and MAM (3.6 ± 2.2; range, 0.9-11.6). The mean TBRmean was 1.9 ± 1.0 (range, 0.1-7.2), with the highest values in NET (2.2 ± 1.2; range, 0.2-7.2), HCC (2.1 ± 1.2; range, 0.3-6.3), and CCC (2.0 ± 1.0; range, 0.2-6.3) and the lowest values in MAM (1.7 ± 0.8; range, 0.2-4.1), CRC (1.8 ± 0.9; range, 0.4-6.6), and SAR (1.7 ± 1.1; range, 0.3-3.9). CONCLUSION: The (99m)Tc-MAA uptake of different tumor entities shows a wide variation, with generally highest values for NET, HCC, and CCC and lowest values for MAM, CRC, and SAR. However, the variation of uptake within the different tumor entities is high.


Asunto(s)
Embolización Terapéutica/métodos , Neoplasias Hepáticas/diagnóstico por imagen , Neoplasias Hepáticas/secundario , Agregado de Albúmina Marcado con Tecnecio Tc 99m/farmacocinética , Tomografía Computarizada de Emisión de Fotón Único/métodos , Tomografía Computarizada por Rayos X/métodos , Radioisótopos de Itrio/uso terapéutico , Adulto , Anciano , Anciano de 80 o más Años , Albúminas/química , Angiografía de Substracción Digital/métodos , Neoplasias de la Mama/patología , Carcinoma Hepatocelular/patología , Colangiocarcinoma/patología , Estudios de Cohortes , Neoplasias Colorrectales/patología , Femenino , Humanos , Neoplasias Hepáticas/patología , Masculino , Persona de Mediana Edad , Tumores Neuroendocrinos/patología , Estudios Retrospectivos , Neoplasias Urológicas/patología
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