%0 Journal Article %J Can Fam Physician %D 2015 %T Identifying patients with asthma in primary care electronic medical record systems Chart analysis-based electronic algorithm validation study. %A Xi, Nancy %A Wallace, Rebecca %A Agarwal, Gina %A Chan, David %A Gershon, Andrea %A Gupta, Samir %K Adult %K Aged %K Algorithms %K Asthma %K Data Accuracy %K electronic health records %K Female %K Humans %K Male %K Middle Aged %K Ontario %K Primary Health Care %K Pulmonary Disease, Chronic Obstructive %K Registries %K Retrospective Studies %K Sensitivity and Specificity %X

OBJECTIVE: To develop and test a variety of electronic medical record (EMR) search algorithms to allow clinicians to accurately identify their patients with asthma in order to enable improved care.

DESIGN: A retrospective chart analysis identified 5 relevant unique EMR information fields (electronic disease registry, cumulative patient profile, billing diagnostic code, medications, and chart notes); asthma-related search terms were designated for each field. The accuracy of each term was tested for its ability to identify the asthma patients among all patients whose charts were reviewed. Increasingly sophisticated search algorithms were then designed and evaluated by serially combining individual searches with Boolean operators.

SETTING: Two large academic primary care clinics in Hamilton, Ont.

PARTICIPANTS: Charts for 600 randomly selected patients aged 16 years and older identified in an initial EMR search as likely having asthma (n = 150), chronic obstructive pulmonary disease (n = 150), other respiratory conditions (n = 150), or nonrespiratory conditions (n = 150) were reviewed until 100 patients per category were identified (or until all available names were exhausted). A total of 398 charts were reviewed in full and included.

MAIN OUTCOME MEASURES: Sensitivity and specificity of each search for asthma diagnosis (against the reference standard of a physician chart review-based diagnosis).

RESULTS: Two physicians reviewed the charts identified in the initial EMR search using a standardized data collection form and ascribed the following diagnoses in 398 patients: 112 (28.1%) had asthma, 81 (20.4%) had chronic obstructive pulmonary disease, 104 (26.1%) had other respiratory conditions, and 101 (25.4%) had nonrespiratory conditions. Concordance between reviewers in chart abstraction diagnosis was high (κ = 0.89, 95% CI 0.80 to 0.97). Overall, the algorithm searching for patients who had asthma in their cumulative patient profiles or for whom an asthma billing code had been used was the most accurate (sensitivity of 90.2%, 95% CI 87.3% to 93.1%; specificity of 83.9%, 95% CI 80.3% to 87.5%).

CONCLUSION: Usable, practical search algorithms that accurately identify patients with asthma in existing EMRs are presented. Clinicians can apply 1 of these algorithms to generate asthma registries for targeted quality improvement initiatives and outcome measurements. This methodology can be emulated for other diseases.

%B Can Fam Physician %V 61 %P e474-83 %8 2015 Oct %G eng %N 10 %0 Journal Article %J Radiol Med %D 2015 %T Open source software in a practical approach for post processing of radiologic images. %A Valeri, Gianluca %A Mazza, Francesco Antonino %A Maggi, Stefania %A Aramini, Daniele %A La Riccia, Luigi %A Mazzoni, Giovanni %A Giovagnoni, Andrea %K Diagnostic Imaging %K Humans %K Image Interpretation, Computer-Assisted %K Image Processing, Computer-Assisted %K Radiology Information Systems %K Reproducibility of Results %K Sensitivity and Specificity %K Software %K Software Validation %K User-Computer Interface %X

PURPOSE: The purpose of this paper is to evaluate the use of open source software (OSS) to process DICOM images.

MATERIALS AND METHODS: We selected 23 programs for Windows and 20 programs for Mac from 150 possible OSS programs including DICOM viewers and various tools (converters, DICOM header editors, etc.). The programs selected all meet the basic requirements such as free availability, stand-alone application, presence of graphical user interface, ease of installation and advanced features beyond simple display monitor. Capabilities of data import, data export, metadata, 2D viewer, 3D viewer, support platform and usability of each selected program were evaluated on a scale ranging from 1 to 10 points.

RESULTS: Twelve programs received a score higher than or equal to eight. Among them, five obtained a score of 9: 3D Slicer, MedINRIA, MITK 3M3, VolView, VR Render; while OsiriX received 10.

CONCLUSIONS: OsiriX appears to be the only program able to perform all the operations taken into consideration, similar to a workstation equipped with proprietary software, allowing the analysis and interpretation of images in a simple and intuitive way. OsiriX is a DICOM PACS workstation for medical imaging and software for image processing for medical research, functional imaging, 3D imaging, confocal microscopy and molecular imaging. This application is also a good tool for teaching activities because it facilitates the attainment of learning objectives among students and other specialists.

%B Radiol Med %V 120 %P 309-23 %8 2015 Mar %G eng %N 3 %R 10.1007/s11547-014-0437-5 %0 Journal Article %J Acta Cytol %D 2014 %T Making cytological diagnoses on digital images using the iPath network. %A Dalquen, Peter %A Savic Prince, Spasenija %A Spieler, Peter %A Kunze, Dietmar %A Neumann, Heinrich %A Eppenberger-Castori, Serenella %A Adams, Heiner %A Glatz, Katharina %A Bubendorf, Lukas %K Adolescent %K Adult %K Aged %K Aged, 80 and over %K Child %K Child, Preschool %K Computers, Handheld %K Cytodiagnosis %K Diagnosis, Differential %K Female %K Humans %K Hyperplasia %K Infant %K Male %K Metaplasia %K Middle Aged %K Neoplasms %K Observer Variation %K Reproducibility of Results %K Sensitivity and Specificity %K Telemedicine %X

BACKGROUND: The iPath telemedicine platform Basel is mainly used for histological and cytological consultations, but also serves as a valuable learning tool.

AIM: To study the level of accuracy in making diagnoses based on still images achieved by experienced cytopathologists, to identify limiting factors, and to provide a cytological image series as a learning set.

METHOD: Images from 167 consecutive cytological specimens of different origin were uploaded on the iPath platform and evaluated by four cytopathologists. Only wet-fixed and well-stained specimens were used. The consultants made specific diagnoses and categorized each as benign, suspicious or malignant.

RESULTS: For all consultants, specificity and sensitivity regarding categorized diagnoses were 83-92 and 85-93%, respectively; the overall accuracy was 88-90%. The interobserver agreement was substantial (κ = 0.791). The lowest rate of concordance was achieved in urine and bladder washings and in the identification of benign lesions.

CONCLUSION: Using a digital image set for diagnostic purposes implies that even under optimal conditions the accuracy rate will not exceed to 80-90%, mainly because of lacking supportive immunocytochemical or molecular tests. This limitation does not disqualify digital images for teleconsulting or as a learning aid. The series of images used for the study are open to the public at http://pathorama.wordpress.com/extragenital-cytology-2013/.

%B Acta Cytol %V 58 %P 453-60 %8 2014 %G eng %N 5 %R 10.1159/000369241 %0 Journal Article %J BMC Med Imaging %D 2010 %T An open-source software tool for the generation of relaxation time maps in magnetic resonance imaging. %A Messroghli, Daniel R %A Rudolph, Andre %A Abdel-Aty, Hassan %A Wassmuth, Ralf %A Kuhne, Titus %A Dietz, Rainer %A Schulz-Menger, Jeanette %K Algorithms %K Humans %K Image Enhancement %K Image Interpretation, Computer-Assisted %K Magnetic Resonance Imaging %K Programming Languages %K Reproducibility of Results %K Sensitivity and Specificity %K Software %X

BACKGROUND: In magnetic resonance (MR) imaging, T1, T2 and T2* relaxation times represent characteristic tissue properties that can be quantified with the help of specific imaging strategies. While there are basic software tools for specific pulse sequences, until now there is no universal software program available to automate pixel-wise mapping of relaxation times from various types of images or MR systems. Such a software program would allow researchers to test and compare new imaging strategies and thus would significantly facilitate research in the area of quantitative tissue characterization.

RESULTS: After defining requirements for a universal MR mapping tool, a software program named MRmap was created using a high-level graphics language. Additional features include a manual registration tool for source images with motion artifacts and a tabular DICOM viewer to examine pulse sequence parameters. MRmap was successfully tested on three different computer platforms with image data from three different MR system manufacturers and five different sorts of pulse sequences: multi-image inversion recovery T1; Look-Locker/TOMROP T1; modified Look-Locker (MOLLI) T1; single-echo T2/T2*; and multi-echo T2/T2*. Computing times varied between 2 and 113 seconds. Estimates of relaxation times compared favorably to those obtained from non-automated curve fitting. Completed maps were exported in DICOM format and could be read in standard software packages used for analysis of clinical and research MR data.

CONCLUSIONS: MRmap is a flexible cross-platform research tool that enables accurate mapping of relaxation times from various pulse sequences. The software allows researchers to optimize quantitative MR strategies in a manufacturer-independent fashion. The program and its source code were made available as open-source software on the internet.

%B BMC Med Imaging %V 10 %P 16 %8 2010 %G eng %R 10.1186/1471-2342-10-16