Background
Clinical diagnosis of actinic keratosis is known to have intra- and inter-observer variability, and there is currently no non-invasive and objective measure to diagnose these lesions.Objective
The aim of this pilot study was to determine if automatically detecting and circumscribing actinic keratoses in clinical photographs is feasible.Methods
Photographs of the face and dorsal forearms were acquired in 20 volunteers from two groups: the first with at least on actinic keratosis present on the face and each arm, the second with no actinic keratoses. The photographs were automatically analysed using colour space transforms and morphological features to detect erythema. The automated output was compared with a senior consultant dermatologist’s assessment of the photographs, including the intra-observer variability. Performance was assessed by the correlation between total lesions detected by automated method and dermatologist, and whether the individual lesions detected were in the same location as the dermatologist identified lesions. Additionally, the ability to limit false positives was assessed by automatic assessment of the photographs from the no actinic keratosis group in comparison to the high actinic keratosis group.Results
The correlation between the automatic and dermatologist counts was 0.62 on the face and 0.51 on the arms, compared to the dermatologist’s intra-observer variation of 0.83 and 0.93 for the same. Sensitivity of automatic detection was 39.5% on the face, 53.1% on the arms. Positive predictive values were 13.9% on the face and 39.8% on the arms. Significantly more lesions (p<0.0001) were detected in the high actinic keratosis group compared to the no actinic keratosis group.Conclusions
The proposed method was inferior to assessment by the dermatologist in terms of sensitivity and positive predictive value. However, this pilot study used only a single simple feature and was still able to achieve sensitivity of detection of 53.1% on the arms.This suggests that image analysis is a feasible avenue of investigation for overcoming variability in clinical assessment. Future studies should focus on more sophisticated features to improve sensitivity for actinic keratoses without erythema and limit false positives associated with the anatomical structures on the face. 相似文献E. coli O157:H7 is one of the most important pathogens in food-borne diseases and is the main cause of the pseudo pandemic development of hemorrhagic colitis and hemolytic uremic syndrome. Also E. coli O157:H7 is the most common serotype of Shiga-toxin-producing E. coli. Traditional methods for detecting E. coli O157:H7 are expensive, time-consuming, and less sensitive. A method with high sensitivity and high-resolution optical detection is utilizes the LSPR property of spherical gold nanoparticles (GNP). In this work, we constructed a novel nano-bio probe to detect E. coli O157:H7 by synthesizing citrate gold nanoparticle conjugated (non-covalent bond) with specific chicken anti-E. coli O157:H7 antibody (IgY) by changing the pH of the nanoparticles’ environment. UV-visible and DLS methods were used to confirm the bonding between the antibody and nanoparticles and the LSPR sensitivity of the nano-bio probe was evaluated by ELISA method. We could optically detect this bacterium in less than 2 h by measuring the LSPR band λ max shifts of GNPs. The sensitivity of this novel biosensor was determined by about 10 CFU/ml, using the LSPR property of spherical gold nanoparticles. So that, the LSPR λ max red shifted from 530 to 543 nm in presence of 10 CFU bacterium. In conclusion, this nano biosensor can be used to detect this important pathogen among the clinical specimens.
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