Developing a medical image content repository for e-learning

A case-oriented web-based training system for breast cancer diagnosis

BACKGROUND AND OBJECTIVE

Breast cancer is still considered as the most common form of cancer as well as the leading causes of cancer deaths among women all over the world. We aim to provide a web-based breast ultrasound database for online training inexperienced radiologists and giving computer-assisted diagnostic information for detection and classification of the breast tumor.

METHODS

We introduce a web database which stores breast ultrasound images from breast cancer patients as well as their diagnostic information. A web-based training system using a feature scoring scheme based on Breast Imaging Reporting and Data System (BI-RADS) US lexicon was designed. A computer-aided diagnosis (CAD) subsystem was developed to assist the radiologists to make scores on the BI-RADS features for an input case. The training system possesses 1669 scored cases, where 412 cases are benign and 1257 cases are malignant. It was tested by 31 users including 12 interns, 11 junior radiologists, and 8 experienced senior radiologists.

RESULTS

This online training system automatically creates case-based exercises to train and guide the newly employed or resident radiologists for the diagnosis of breast cancer using breast ultrasound images based on the BI-RADS. After the trainings, the interns and junior radiologists show significant improvement in the diagnosis of the breast tumor with ultrasound imaging (p-value < .05); meanwhile the senior radiologists show little improvement (p-value > .05).

CONCLUSIONS

The online training system can improve the capabilities of early-career radiologists in distinguishing between the benign and malignant lesions and reduce the misdiagnosis of breast cancer in a quick, convenient and effective manner.

The Clinical Impact of a Web-Based Image Repository on Radiation Exposure in Injured Children

PURPOSE

The long-term cancer risks for children exposed to radiologic images can be two to three times higher than for adults because children are more sensitive to radiation and have a longer lifetime in which to accumulate exposure from CT scans. Injured children often undergo repeat CT imaging if they are transferred from non-pediatric hospitals to a Level I pediatric trauma center (PTC). This study determined the impact of a statewide web-based image repository (WBIR) on repeat imaging among transferred injured children.

METHODS

All injured children who underwent CT imaging and were transferred to the PTC in 2010 (pre-WBIR) and 2013 (post-WBIR) were included. Patient-level factors studied included demographics, body region of scan, Injury Severity Score, and Emergency Department (ED) disposition. Change from pre to post on rate of repeat imaging was assessed.

RESULTS

Two hundred fifty-four and 233 children, with a median age of 7.3 years, were transferred to the Children's Hospital in 2010 and 2013, respectively. Repeat imaging levels at the PTC were lower post-WBIR than pre-WBIR (20% versus 33%, odds ratio [OR] 0.54, P = .005). Images of the head decreased most significantly (60% versus 33%, OR 0.33). Images performed at Level II and III trauma centers were repeated less often after WBIR.

CONCLUSIONS

The WBIR significantly reduced repeat imaging among injured children transferred to a PTC, especially children transferred from Level II and Level III trauma centers, children with lower-acuity injuries, and children with initial scans of the head. Radiation savings are expected to be beneficial to children.

Use of a rich internet application solution to present medical images

Browser with Rich Internet Application (RIA) Web pages could be a powerful user interface for handling sophisticated data and applications. Then the RIA solutions would be a potential method for viewing and manipulating the most data generated in clinical processes, which can accomplish the main functionalities as general picture archiving and communication system (PACS) viewing systems. The aim of this study is to apply the RIA technology to present medical images. Both Digital Imaging and Communications in Medicine (DICOM) and non-DICOM data can be handled by our RIA solutions. Some clinical data that are especially difficult to present using PACS viewing systems, such as ECG waveform, pathology virtual slide microscopic image, and radiotherapy plan, are as well demonstrated. Consequently, clinicians can use browser as a unique interface for acquiring all the clinical data located in different departments and information systems. And the data could be presented appropriately and processed freely by adopting the RIA technologies.

Applying a presentation content manifest for signing clinical documents

In this paper, we demonstrate how to digitally sign a content manifest of a presentable clinical document that contains multiple clinical data with presentations. Only one signature is needed for an entire clinical document with multiple data resources, which can reduce the computation time during signing and verifying processes. In the radiology field, a report may contain text descriptions, images, and annotations that are stored separately in different data resources. The manifest signature would be a proper means for integrity checking for all the clinical data within the manifest. The manifest signature can be extended with a trusted third party to add a digital time signature for long-term verifiability. The performance of the manifest signing compared with that of a traditional digital signing was evaluated. The new manifest signature can be used for signing different types of presentable clinical documents, such HL7 CDA documents and DICOM image reports.

Implementation of a semi-automated post-processing system for parametric MRI mapping of human breast cancer

Magnetic resonance imaging (MRI) investigations of breast cancer incorporate computationally intense techniques to develop parametric maps of pathophysiological tissue characteristics. Common approaches employ, for example, quantitative measurements of T (1), the apparent diffusion coefficient, and kinetic modeling based on dynamic contrast-enhanced MRI (DCE-MRI). In this paper, an integrated medical image post-processing and archive system (MIPAS) is presented. MIPAS demonstrates how image post-processing and user interface programs, written in the interactive data language (IDL) programming language with data storage provided by a Microsoft Access database, and the file system can reduce turnaround time for creating MRI parametric maps and provide additional organization for clinical trials. The results of developing the MIPAS are discussed including potential limitations of the use of IDL for the application framework and how the MIPAS design supports extension to other programming languages and imaging modalities. We also show that network storage of images and metadata has a significant (p < 0.05) increase in data retrieval time compared to collocated storage. The system shows promise for becoming both a robust research picture archival and communications system working with the standard hospital PACS and an image post-processing environment that extends to other medical image modalities.