Assessing the Usability of a Science Gateway for Medical Knowledge Bases with TRENCADIS

Maestre, C.; Quilis, J. Damiàn Segrelles; Torres, Erik; Blanquer, Ignácio; Medina, Rosana; Hernández, Vicente; Martí, Luis

doi:10.1007/s10723-012-9243-2

Cited by 5 publications

(8 citation statements)

References 41 publications

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“…• Structured Reports with TRENCA-DIS Web Interface (Method 2). The radiologists used a Google Chrome web browser to access the web application built by the TRENCADIS framework [20] for generating DICOM-SR structured reports. It was setup in the same workstations where ORION clinic was installed, setting up a direct access pointing out to the web application.…”

Section: Configuration and Testing Of Software Toolsmentioning

confidence: 99%

“…For this purpose, TRENCADIS [20] framework can automatically generate web interfaces from DICOM-SR templates. These TRENCADIS web interfaces will show up warnings to the user if an integrity restriction is not fulfilled, forcing the user to correct it.…”

Section: Building Trencadis Structured Report Web Applicationmentioning

confidence: 99%

“…Second, we analyse the conditions were we expect a shorter Elapsed Time (ET) on the writing of structured report by means of web interfaces (Method 2) generated from these templates, with respect to free-text reports filled-in with conventional speech recognition (Method 1). In this work, the structured report web interfaces are provided by TRENCADIS [20], an application that automatically generates web interfaces from DICOM-SR templates, implementing the integrity restrictions defined in the templates [20]. Furthermore, the influence of the report method in the elapsed time (ET) of the generation process of the reports in each modality and radiologists experience will be also evaluated.…”

Section: Introductionmentioning

confidence: 99%

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Increasing the Efficiency on Producing Radiology Reports for Breast Cancer Diagnosis by Means of Structured Reports

Segrelles

Medina²,

Blanquer³

et al. 2017

Methods Inf Med

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Background. Radiology reports are commonly written on free-text using voice recognition devices. Structured reports (SR) have a high potential but they are usually considered more difficult to fill-in so their adoption in clinical practice leads to a lower efficiency. However, some studies have demonstrated that in some cases, producing SRs may require shorter time than plain-text ones. This work focuses on the definition and demonstration of a methodology to evaluate the productivity of software tools for producing radiology reports. A set of SRs for breast cancer diagnosis based on BI-RADS have been developed using this method. An analysis of their efficiency with respect to free-text reports has been performed. Material and Methods.The methodology proposed compares the Elapsed Time (ET) on a set of radiological reports. Free-text reports are produced with the speech recognition devices used in the clinical practice. Structured reports are generated using a web application generated with TRENCADIS framework. A team of six radiologists with three different levels of experience in the breast cancer diagnosis was recruited. These radiologists performed the evaluation, each one introducing 50 reports for mammography, 50 for ultrasound scan and 50 for MRI using both approaches. Also, the Relative Efficiency (REF) was computed for each report, dividing the ET of both methods. We applied the T-Student (T-S) test to compare the ETs and the ANOVA test to compare the REFs. Both tests were computed using the SPSS software.Results. The study produced three DICOM-SR templates for Breast Cancer Diagnosis on mammography, ultrasound and MRI, using RADLEX terms based on BIRADs 5th edition. The T-S test on radiologists with high or intermediate profile, showed that the difference between the ET was only statistically significant for mammography and ultrasound. The ANOVA test performed grouping the REF by modalities, indicated that there were no significant differences between mammograms and ultrasound scans, but both have significant statistical differences with MRI. The ANOVA test of the REF for each modality, indicated that there were only significant differences in Mammography (ANOVA p =0.024) and Ultrasound (ANOVA p =0.008).The ANOVA test for each radiologist profile, indicated that there were significant differences on the high profile (ANOVA p =0.028) and medium (ANOVA p =0.045). Conclusions.In this work, we have defined and demonstrated a methodology to evaluate the productivity of software tools for producing radiology reports in Breast Cancer. We have evaluated that adopting Structured Reporting in mammography and ultrasound studies in breast cancer diagnosis improves the performance in producing reports.

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Section: Configuration and Testing Of Software Toolsmentioning

confidence: 99%

Section: Building Trencadis Structured Report Web Applicationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Increasing the Efficiency on Producing Radiology Reports for Breast Cancer Diagnosis by Means of Structured Reports

Segrelles

Medina²,

Blanquer³

et al. 2017

Methods Inf Med

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“…This study was conducted by 11 radiologists from different profiles and backgrounds. The methodology used for evaluation of the usability was previously described by Maestre et al [46], and the metrics used in this study are described in Table 1. Fig.…”

Section: Trencadis Structured Report Management Prototypementioning

confidence: 99%

“…More details of this study are presented in the study of Maestre et al [46]. Eight of the 11 radiologists who participated in the study reported to reach 60-99 % of completeness of the study goals.…”

Section: Usabilitymentioning

confidence: 99%

A Systematic Approach for Using DICOM Structured Reports in Clinical Processes: Focus on Breast Cancer

et al. 2014

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This paper describes a methodology for redesigning the clinical processes to manage diagnosis, follow-up, and response to treatment episodes of breast cancer. This methodology includes three fundamental elements: (1) identification of similar and contrasting cases that may be of clinical relevance based upon a target study, (2) codification of reports with standard medical terminologies, and (3) linking and indexing the structured reports obtained with different techniques in a common system. The combination of these elements should lead to improvements in the clinical management of breast cancer patients. The motivation for this work is the adaptation of the clinical processes for breast cancer created by the Valencian Community health authorities to the new techniques available for data processing. To achieve this adaptation, it was necessary to design nine Digital Imaging and Communications in Medicine (DICOM) structured report templates: six diagnosis templates and three summary templates that combine reports from clinical episodes. A prototype system is also described that links the lesion to the reports. Preliminary tests of the prototype have shown that the interoperability among the report templates allows correlating parameters from different reports. Further work is in progress to improve the methodology in order that it can be applied to clinical practice.

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Big Biomedical Data Engineering

Patgiri

Nayak

2020

Principles of Data Science

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Assessing the Usability of a Science Gateway for Medical Knowledge Bases with TRENCADIS

Cited by 5 publications

References 41 publications

Increasing the Efficiency on Producing Radiology Reports for Breast Cancer Diagnosis by Means of Structured Reports

Increasing the Efficiency on Producing Radiology Reports for Breast Cancer Diagnosis by Means of Structured Reports

A Systematic Approach for Using DICOM Structured Reports in Clinical Processes: Focus on Breast Cancer

Big Biomedical Data Engineering

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