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1.
Q J Nucl Med Mol Imaging ; 59(2): 214-9, 2015 Jun.
Artigo em Inglês | MEDLINE | ID: mdl-25669764

RESUMO

AIM: Primitive mediastinal B-cell lymphoma (PMBCL) is a relatively rare form of non-Hodgkin lymphoma (NHL), typically concerning the youngster, with an aggressive course and poor prognosis. The therapy generally consists of high dose chemotherapy followed by radiotherapy. PET-CT is used at staging, restaging after chemotherapy and after radiotherapy, or when relapse is suspected. Aim of the study was to compare different criteria in the evaluation of response to chemotherapy in this setting. METHODS: Thirty-eight patients with PMBCL (15 M, 23 F, median age 33 yrs [range 18-79]), all treated with chemo-immunotherapy and radiotherapy, who had undergone baseline (b-PET) and end of chemotherapy (f-CHT-PET) 18F-FDG-PET-CT scans at our institution between July 2004 and September 2014 were retrospectively re-evaluated; the median follow-up was 42 months (range 4-109), at which 4/38 (11%) had died, 5/38 (13%) were in partial response (PR) and 29/38 (76%) were in complete response (CR). The primary endpoint was progression-free survival (PFS), while the secondary one was overall survival (OS), according to the Cheson criteria. SUV max of the mediastinal disease mass at staging, of the residual mass at CT after chemo-immunotherapy, SUV max of the liver and of the mediastinal blood pool (MBP) were calculated for all patients. RESULTS: In our population, we observed that: 1) visual criteria performs better when positivity-negativity threshold is set at point 3 of the 5-point scale (5-PS); 2) semiquantitative approach by use of Δ SUV max performs better when the threshold is set at 66% decrease: in fact, at Δ SUV max analysis with 66% decrease, 9 patients resulted positive at the test (Δ SUV max ≤66%), 29 negative (Δ SUV max >66%). CONCLUSION: In our population Δ SUV max could be working well in these patients because the baseline values are very high and very homogeneous. Our data, though limited in numerosity of patients and events, suggests that in this particular setting the use of the 5-PS reporting system could not be the best tool available; on the other hand, Δ SUV max could prove to be reliable in the evaluation of response to chemotherapy.


Assuntos
Linfoma de Células B/tratamento farmacológico , Linfoma de Células B/patologia , Neoplasias do Mediastino/tratamento farmacológico , Neoplasias do Mediastino/patologia , Tomografia por Emissão de Pósitrons/métodos , Tomografia Computadorizada por Raios X/métodos , Adolescente , Adulto , Idoso , Antineoplásicos/uso terapêutico , Humanos , Masculino , Pessoa de Meia-Idade , Imagem Multimodal/métodos , Estadiamento de Neoplasias , Prognóstico , Reprodutibilidade dos Testes , Sensibilidade e Especificidade , Resultado do Tratamento , Adulto Jovem
2.
Stress Health ; 31(3): 197-203, 2015 Aug.
Artigo em Inglês | MEDLINE | ID: mdl-24677552

RESUMO

The objective of this study was to investigate the possible associations between the Distress Thermometer (DT) scores and the brain metabolism of structures involved in stress response. Twenty-one cancer patients were assessed using the DT, Problem Checklist and Hospital Anxiety and Depression Scale (HADS). The psychological measures were correlated with [18 F]PET-FDG brain glucose metabolism. Multiple and linear regression and binary logistic regression were run to analyse data. The DT and HADS scores illustrated that 48% of patients were distressed, 19% were depressed and 48% were anxious. Results showed that some subcortical areas activity, such as part of midbrain and of hypothalamus, was correlated with the DT scores. The Problem Checklist scores correlated with the activity of the same areas and included more regions in the limbic forebrain and brainstem. Compared with the DT and Problem Checklist, HADS-Depression scores showed a more extensive pattern of correlation with brain activity, including limbic and cortical areas. The results highlighted that the DT scores correlated with the activity of brain areas typically involved in stress response. Indeed, hypothalamus metabolism was found to be the best predictor of distressed patients.


Assuntos
Transtornos de Ansiedade/diagnóstico por imagem , Encéfalo/diagnóstico por imagem , Transtorno Depressivo/diagnóstico por imagem , Neoplasias/psicologia , Estresse Psicológico/diagnóstico por imagem , Adulto , Idoso , Feminino , Fluordesoxiglucose F18 , Humanos , Modelos Lineares , Modelos Logísticos , Masculino , Pessoa de Meia-Idade , Tomografia por Emissão de Pósitrons/métodos , Compostos Radiofarmacêuticos , Inquéritos e Questionários
3.
Rev Argent Microbiol ; 34(2): 66-71, 2002.
Artigo em Espanhol | MEDLINE | ID: mdl-12180259

RESUMO

Shiga toxin producing-Escherichia coli (STEC), an important emerging foodborne pathogen, has been associated with bloody and non-bloody diarrhea, hemorrhagic colitis, hemolytic uremic syndrome (HUS) and thrombotic thrombocytopenic purpura. The cattle have been shown to be a major reservoir of STEC and raw foods such as ground beef and milk are the most common vehicles of infection. In the present study, the prevalence of STEC in 95 samples of frozen hamburgers and in 114 samples of soft cheese was established in 8.4% and 0.9%, respectively. The genotypic and phenotypic characteristics of the strains were determined. The virulence genes stx1, stx2, eaeA and EHEC-hlyA were identified by PCR and by colony blot hybridization assays. Serotyping, antimicrobial susceptibility and production of Stx using specific cytotoxicity assays on Vero cells were also determined. All STEC strains were characterized as eaeA-/EHEC-hlyA+. The stx2 genotype was prevalent (77.8%), and four different O:H serotypes were found, comprising: O8:H19 (5 strains), O113:H21 (1), O8:H16 (1), and O39:H49 (1). One STEC strain was nontypable. Although soft cheese complimented the microbiological quality controls for the coliform counts, the detection of STEC in one sample raises doubts concerning the effectiveness of the current quality controls. These data contribute to the implementation of strategies for the prevention and control of HUS.


Assuntos
Queijo/microbiologia , Escherichia coli/isolamento & purificação , Contaminação de Alimentos , Microbiologia de Alimentos , Carne/microbiologia , Toxina Shiga I/biossíntese , Toxina Shiga II/biossíntese , Adesinas Bacterianas/biossíntese , Adesinas Bacterianas/genética , Animais , Argentina , Toxinas Bacterianas/biossíntese , Toxinas Bacterianas/genética , Proteínas de Transporte/biossíntese , Proteínas de Transporte/genética , Bovinos , Chlorocebus aethiops , Criopreservação , Resistência a Medicamentos/genética , Escherichia coli/classificação , Escherichia coli/genética , Escherichia coli/metabolismo , Escherichia coli/patogenicidade , Proteínas de Escherichia coli/biossíntese , Inspeção de Alimentos , Conservação de Alimentos , Genótipo , Proteínas Hemolisinas/biossíntese , Fenótipo , Toxina Shiga I/genética , Toxina Shiga II/genética , Células Vero , Virulência/genética
4.
Rev. argent. microbiol ; 34(2): 66-71, 2002 Apr-Jun.
Artigo em Espanhol | BINACIS | ID: bin-39174

RESUMO

Shiga toxin producing-Escherichia coli (STEC), an important emerging foodborne pathogen, has been associated with bloody and non-bloody diarrhea, hemorrhagic colitis, hemolytic uremic syndrome (HUS) and thrombotic thrombocytopenic purpura. The cattle have been shown to be a major reservoir of STEC and raw foods such as ground beef and milk are the most common vehicles of infection. In the present study, the prevalence of STEC in 95 samples of frozen hamburgers and in 114 samples of soft cheese was established in 8.4


and 0.9


, respectively. The genotypic and phenotypic characteristics of the strains were determined. The virulence genes stx1, stx2, eaeA and EHEC-hlyA were identified by PCR and by colony blot hybridization assays. Serotyping, antimicrobial susceptibility and production of Stx using specific cytotoxicity assays on Vero cells were also determined. All STEC strains were characterized as eaeA-/EHEC-hlyA+. The stx2 genotype was prevalent (77.8


), and four different O:H serotypes were found, comprising: O8:H19 (5 strains), O113:H21 (1), O8:H16 (1), and O39:H49 (1). One STEC strain was nontypable. Although soft cheese complimented the microbiological quality controls for the coliform counts, the detection of STEC in one sample raises doubts concerning the effectiveness of the current quality controls. These data contribute to the implementation of strategies for the prevention and control of HUS.

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