Avaliação da previsibilidade da sutura de menisco através da ressonância magnética / Predictability of meniscal suture by magnetic resonance imaging

The prediction of meniscus reparability is quite useful for surgeons to optimize surgical planning. The main objective of this study was to evaluate the ability of magnetic resonance imaging (MRI) to predict the suture of meniscal lesions. This was an unicentric retrospective study that included 104 patients who underwent knee joint ligament reconstruction and / or arthroscopy for the treatment of meniscal injury at knee joint level. The MRI images of the meniscus were evaluated and later the arthroscopic findings were used as the gold standard. After the operative procedure, the cases were allocated into two groups according to the necessity of meniscus suture: Sutured Group "MSu" (n = 58) and Non sutured Group "MNSu" (n = 150). Considering the lesion detection capacity in the medial meniscus, the sensitivity, specificity and accuracy of MR were 85.3%, 63.9% and 77.9%, respectively. The positive predictive value (PPV) was 81.7% and the negative predictive value (NPV) was 69.7%. The agreement between MRI and arthroscopy was moderate. For the lateral meniscus, sensitivity, specificity and accuracy of MRI were 80.6%, 89.0% and 86.5%, respectively, with PPV of 75.7% and NPV of 91.5% and a substantial agreement. Regarding suture predictability, the sensitivity, specificity and accuracy were respectively 60.3%, 66.7% and 64.9% with PPV of 41.2% and NPV of 81.3%, with weak agreement. According to the arthroscopy, the 58 meniscal lesions of the MSu group were more frequent in the posterior horn, had the longitudinal pattern and were located in the red-red vascular zone. In our study, MRI was not a good predictor of meniscal suture, although it is an useful tool for the diagnosis of medial and lateral meniscal lesions

Avaliação de limite de decisão (CCa) e capacidade de detecção (CCb) a partir de curvas analíticas em análises de águas para substânciascom teores permitidos: uma planilha eletrônica para a interpretaçãode resultados em Laboratórios de Saúde Pública / Estimating the decision limit (CCa) and the capability of detection (CCb) from analytical curves on water analysis for substances with permitted limits: an electronic spreadsheet for results interpretation in Public Health Laboratories

Neste trabalho são apresentadas planilhas eletrônicas construídas em software Microsoft Excel® quepossibilitam avaliar as estimativas de limite de decisão (CCα) e capacidade de detecção (CCβ) nas regiõesdo limite de detecção e do Valor Máximo Permitido (VMP). As estimativas são realizadas a partir decurvas analíticas lineares e homoscedásticas construídas em procedimentos de calibração segundo asnormas ISO e recomendações IUPAC. Após a validação por processamento manual dos dados, as planilhaseletrônicas foram utilizadas nas determinações de nitrito em águas envasadas (VMP = 0,02 mg/L) e defluoreto em águas de abastecimento público (intervalo de conformidade = 0,6 a 0,8 mg/L). Na análise defluoreto, em que existe um valor mínimo requerido (0,6 mg/L) e um valor máximo aceitável (0,8 mg/L)para a concentração, a planilha calcula a concentração crítica em ambos os limites com uma probabilidadede erro tipo I igual a 0,05. Desta forma, as planilhas eletrônicas permitem efetuar a rápida decisão entreconforme e não conforme na interpretação dos resultados...