Evaluation of an Automated System for Reading and Interpreting Disk Diffusion Antimicrobial Susceptibility Testing of Fastidious Bacteria

Maximally stable extremal regions-based algorithm for automatic interpretation of disc-diffusion antibiotic sensitivity test

Antibiotic resistance causes a major threat to patients suffering from infectious diseases. Accurate and timely assessment of Antibiotic Susceptibility Test (AST) is of great importance to ensure adequate treatment for patients and for epidemiological monitoring. Disc Diffusion Test (DDT) is a standard and widely used method for AST. Manual interpretation of DDT results is a tedious task and susceptible to human errors. Computer vision-based automated interpretation of DDT results will speed up the process and reduces the manpower requirement. This would assist the physician to initiate the antibiotic treatment for the patients on time and results in saving the patient's life. The crucial step in automatic interpretation of DDT result is to measure and present the diameter of zone of inhibition without manual intervention. The existing methods require manual interventions at various stages during inhibition zone diameter measurement for some typical cases. This issue is addressed in the present work through maximally stable extremal regions (MSER) based algorithm. Dataset consisting of 60 agar plate images that includes different agar medium, images having different resolution and visual quality is used to validate the proposed method. Experimental results demonstrated that there is a strong correlation between standard method and the proposed method.

Recommendations of the Spanish Antibiogram Committee (COESANT) for in vitro susceptibility testing of antimicrobial agents by disk diffusion

Disk diffusion is a well standardized method that provides reliable categorical results to guide antimicrobial therapy in numerous types of infections. Based on the guidelines of the European Committee on Antimicrobial Susceptibility Testing (EUCAST), which are widely implemented in Spain, the Spanish Antibiogram Committee (COESANT) has drawn up recommendations for antimicrobial selection by the disk diffusion technique, including selective reporting and its use for the detection of resistance mechanisms. Factors affecting disk diffusion results, along with advantages and shortcomings of the method, are also discussed.

Conventional methods and future trends in antimicrobial susceptibility testing

Antimicrobial susceptibility testing is an essential task for selecting appropriate antimicrobial agents to treat infectious diseases. Constant evolution has been observed in methods used in the diagnostic microbiology laboratories. Disc diffusion or broth microdilution are classical and conventional phenotypic methods with long turnaround time and labour-intensive but still widely practiced as gold-standard. Scientists are striving to develop innovative, novel and faster methods of antimicrobial susceptibility testing to be applicable for routine microbiological laboratory practice and research. To meet the requirements, there is an increasing trend towards automation, genotypic and micro/nano technology-based innovations. Automation in detection systems and integration of computers for online data analysis and data sharing are giant leaps towards versatile nature of automated methods currently in use. Genotypic methods detect a specific genetic marker associated with resistant phenotypes using molecular amplification techniques and genome sequencing. Microfluidics and microdroplets are recent addition in the continuous advancement of methods that show great promises with regards to safety and speed and have the prospect to identify and monitor resistance mechanisms. Although genotypic and microfluidics methods have many exciting features, however, their applications into routine clinical laboratory practice warrant extensive validation. The main impetus behind the evolution of methods in antimicrobial susceptibility testing is to shorten the overall turnaround time in obtaining the results and to enhance the ease of sample processing. This comprehensive narrative review summarises major conventional phenotypic methods and automated systems currently in use, and highlights principles of some of the emerging genotypic and micro/nanotechnology-based methods in antimicrobial susceptibility testing.

Rapid Methods for Antimicrobial Resistance Diagnostics

Antimicrobial resistance (AMR) is one of the most challenging threats in public health; thus, there is a growing demand for methods and technologies that enable rapid antimicrobial susceptibility testing (AST). The conventional methods and technologies addressing AMR diagnostics and AST employed in clinical microbiology are tedious, with high turnaround times (TAT), and are usually expensive. As a result, empirical antimicrobial therapies are prescribed leading to AMR spread, which in turn causes higher mortality rates and increased healthcare costs. This review describes the developments in current cutting-edge methods and technologies, organized by key enabling research domains, towards fighting the looming AMR menace by employing recent advances in AMR diagnostic tools. First, we summarize the conventional methods addressing AMR detection, surveillance, and AST. Thereafter, we examine more recent non-conventional methods and the advancements in each field, including whole genome sequencing (WGS), matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) spectrometry, Fourier transform infrared (FTIR) spectroscopy, and microfluidics technology. Following, we provide examples of commercially available diagnostic platforms for AST. Finally, perspectives on the implementation of emerging concepts towards developing paradigm-changing technologies and methodologies for AMR diagnostics are discussed.

Evaluation of Bio-Rad® discs for antimicrobial susceptibility testing by disc diffusion and the ADAGIO™ system for the automatic reading and interpretation of results

The disc diffusion test is used for antimicrobial susceptibility testing worldwide. In this study, the performance of both Bio-Rad® antibiotic discs (as compared with Oxoid® discs) and the ADAGIO™ automated system for the reading of disc diffusion test results was evaluated with American Type Culture Collection (ATCC) quality control (QC) and wild strains of bacteria. Inhibition zones of both disc brands were read manually and through use of the ADAGIO™ system. Categorized interpretation of the results for each strain and antibiotic combination was summarized according to the Clinical Laboratory Standards Institute MS-100 (2017 update) manual and ADAGIO™ readings. Eight ATCC QC strains and 120 different wild strains were evaluated, to give a total of 1226 antibiotic/bacteria combinations and 2486 manual readings. One major error and four minor errors (0.08% and 0.34%, respectively) were detected via manual readings of the Bio-Rad® discs as compared with the Oxoid® discs. For the same number of antibiotic/bacteria combinations, five minor errors and one major error (0.42% and 0.08%, respectively) were detected with the Bio-Rad® discs read by the ADAGIO™ system. In addition, the number of times the automatic reading needed manual edition with Bio-Rad® discs was statistically lower than it did with Oxoid® discs (3.7% vs. 5.7%, p < 0.05). These findings support the hypothesis that Bio-Rad discs are not inferior to Oxoid® discs, and the performance of the ADAGIO™ system is comparable to that of manual readings with both disc brands.

Intra- and inter-laboratory agreement of the disc diffusion assay for assessing antimicrobial susceptibility of porcine Escherichia coli

Reliable assessment of the susceptibility of animal bacterial pathogens to antimicrobials is of paramount importance in the fight against antimicrobial resistance. This work aims to estimate the repeatability (intra-laboratory agreement) and reproducibility (inter-laboratory agreement) of the disc diffusion assay in veterinary laboratories to understand further if the assay has a role in the surveillance of antimicrobial resistance in animals. Seven major veterinary laboratories from all States in Australia participated, and each tested the same panel of isolates five times at three to four-week intervals, against six antimicrobial agents using Clinical and Laboratory Standards Institute protocols. The panel consisted of twenty different isolates from porcine Escherichia coli from clinical cases and a single reference strain (ATCC 25922). Laboratories were blinded to the identity of the isolates, replicates, and to each other. In total, 4200 inhibition zone diameters (mm) were collected, and analysed descriptively, graphically, and with linear mixed models. Regardless of the laboratories and isolate/antimicrobial combinations, the overall very major error rate (proportion of isolates classified as susceptible when actual status is resistant) was 1.6%; the major error rate (proportion of isolates classified as resistant when actual status is susceptible) was 1.6%; and the 'minor error' rate (proportion of isolates with intermediate susceptibility that measure fully susceptible or resistant or vice versa) was 2.4%. The variation between repeated measurements ranged between 4.4-7.2 mm depending on the antimicrobial agent assessed. The reproducibility was always more variable than the repeatability, which suggested some laboratory effects. The repeatability coefficient of disc diffusion was lowest for tetracycline (4.4 mm, 95% CI: 3.8-5.0 mm) and ampicillin (4.6 mm, 95% CI: 4.2-5.2 mm) and highest for trimethoprim-sulfamethoxazole (6.6 mm, 95% CI: 5.9-7.4 mm). The reproducibility coefficient of disc diffusion was lowest for gentamicin (5.4, 95% CI: 4.0-7.2) and highest for trimethoprim-sulfamethoxazole (7.2 mm, 95%CI: 4.5-11.7 mm). The precision of the disc diffusion assay was deemed satisfactory for use in a national surveillance program for clinical porcine E. coli isolates. However, measurement variation of the disc diffusion assay is of concern for isolates with marginal susceptibility or resistance due to increased risk of misclassification.

Sequencing-based methods and resources to study antimicrobial resistance

Antimicrobial resistance extracts high morbidity, mortality and economic costs yearly by rendering bacteria immune to antibiotics. Identifying and understanding antimicrobial resistance are imperative for clinical practice to treat resistant infections and for public health efforts to limit the spread of resistance. Technologies such as next-generation sequencing are expanding our abilities to detect and study antimicrobial resistance. This Review provides a detailed overview of antimicrobial resistance identification and characterization methods, from traditional antimicrobial susceptibility testing to recent deep-learning methods. We focus on sequencing-based resistance discovery and discuss tools and databases used in antimicrobial resistance studies.

Antibiogramj: A tool for analysing images from disk diffusion tests

BACKGROUND AND OBJECTIVES

Disk diffusion testing, known as antibiogram, is widely applied in microbiology to determine the antimicrobial susceptibility of microorganisms. The measurement of the diameter of the zone of growth inhibition of microorganisms around the antimicrobial disks in the antibiogram is frequently performed manually by specialists using a ruler. This is a time-consuming and error-prone task that might be simplified using automated or semi-automated inhibition zone readers. However, most readers are usually expensive instruments with embedded software that require significant changes in laboratory design and workflow.

METHODS

Based on the workflow employed by specialists to determine the antimicrobial susceptibility of microorganisms, we have designed a software tool that, from images of disk diffusion tests, semi-automatises the process. Standard computer vision techniques are employed to achieve such an automatisation.

RESULTS

We present AntibiogramJ, a user-friendly and open-source software tool to semi-automatically determine, measure and categorise inhibition zones of images from disk diffusion tests. AntibiogramJ is implemented in Java and deals with images captured with any device that incorporates a camera, including digital cameras and mobile phones. The fully automatic procedure of AntibiogramJ for measuring inhibition zones achieves an overall agreement of 87% with an expert microbiologist; moreover, AntibiogramJ includes features to easily detect when the automatic reading is not correct and fix it manually to obtain the correct result.

CONCLUSIONS

AntibiogramJ is a user-friendly, platform-independent, open-source, and free tool that, up to the best of our knowledge, is the most complete software tool for antibiogram analysis without requiring any investment in new equipment or changes in the laboratory.