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1.
Gut and Liver ; : 283-293, 2024.
Artículo en Inglés | WPRIM | ID: wpr-1042934

RESUMEN

Background/Aims@#Noninvasive methods have become increasingly critical in the diagnosis of fibrosis in chronic liver diseases. Herein, we compared the diagnostic performance of serum Mac2 binding protein glycosylation isomer (M2BPGi) and other serological panels for fibrosis in patients with nonalcoholic fatty liver disease (NAFLD) and proposed an improved two-step diagnostic algorithm for advanced fibrosis. @*Methods@#We enrolled 231 patients diagnosed with NAFLD who underwent a liver biopsy. We subsequently evaluated the diagnostic performance of serological panels, including serum M2BPGi, a fibrosis index based on four factors (FIB-4), aspartate aminotransferase-to-platelet ratio index (APRI), and NAFLD fibrosis score (NFS), in predicting the stage of liver fibrosis. We then constructed a two-step algorithm to better differentiate advanced fibrosis. @*Results@#The areas under the receiver operating characteristic curves of serum M2BPGi, FIB-4, APRI, and NFS for advanced fibrosis (≥F3) were 0.823, 0.858, 0.779, and 0.827, respectively. To reduce the performance of unnecessary liver biopsy, we propose a two-step algorithm using FIB-4 as an initial diagnostic tool and serum M2BPGi (≥0.6) as an additional diagnostic method for patients classified as intermediate (23%). Using the proposed algorithm, the sensitivity, specificity, accuracy, positive predictive value, and negative predictive value were 0.812, 0.814, 0.814, 0.600, and 0.927, respectively. @*Conclusions@#Serum M2BPGi is a simple and effective test for advanced fibrosis in patients with NAFLD. Application of the two-step algorithm based on FIB-4 and M2BPGi proposed here can improve diagnostic performance and reduce unnecessary tests, making diagnosis easily accessible, especially in primary medical centers.

2.
Artículo en Inglés | WPRIM | ID: wpr-208824

RESUMEN

This paper is a summary of the methodology including protocol used to develop evidence-based clinical imaging guidelines (CIGs) in Korea, led by the Korean Society of Radiology and the National Evidence-based Healthcare Collaborating Agency. This is the first protocol to reflect the process of developing diagnostic guidelines in Korea. The development protocol is largely divided into the following sections: set-up, process of adaptation, and finalization. The working group is composed of clinical imaging experts, and the developmental committee is composed of multidisciplinary experts to validate the methodology. The Korean CIGs will continue to develop based on this protocol, and these guidelines will act for decision supporting tools for clinicians as well as reduce medical radiation exposure.


Asunto(s)
Diagnóstico por Imagen , Práctica Clínica Basada en la Evidencia , Articulaciones , Corea (Geográfico) , Métodos , Exposición a la Radiación
3.
Artículo en Inglés | WPRIM | ID: wpr-66005

RESUMEN

Justification in the field of radiology refers to the appropriate use of radiologic imaging modalities, and may be achieved by establishing clinical imaging guidelines (CIGs). Recently, CIGs have been shown to be useful in selecting the proper medical imaging modality, resulting in the reduction of inappropriate radiologic examinations, thereby enhancing justifications. However, the development of CIGs is both time-consuming and difficult as the methodology of evidence-based medicine should be adhered to. Thus, although the radiologic societies in developed countries such as the United Kingdom and USA are already developing and implementing CIGs in their clinical practices, CIGs are not yet readily available in many other countries owing to differences in medical circumstances and resources. In this review, we assess the role and limitations of CIGs by examining the current status of CIGs in developed countries, and also describe the specific efforts made to establish CIGs in Korea.


Asunto(s)
Humanos , Diagnóstico por Imagen , Medicina Basada en la Evidencia , Guías como Asunto , Protección Radiológica , Sociedades Científicas , Tomografía Computarizada por Rayos X
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