Dataset Information

Pelvis Anatomy Tutorial Using Radiological Images.

ABSTRACT:

Introduction

Improving integration between basic science and clinical application is essential in medical education. Anatomy courses can do this by focusing on medical imaging interpretation. Most imaging textbooks rely on structural identification, which novice learners often struggle to apply to the health care environment, particularly in complex regions like the pelvis, which is multifaceted and differs substantially between sexes. To address this deficit, this resource extends our imaging-based tutorial series.

Methods

This tutorial was a self-administered PowerPoint incorporating X-ray, computed tomography, and magnetic resonance imaging, which are all often used for the pelvic region, as well as self-quizzing and clinical applications. Using repeated-measures, control/experimental design, the tutorial was evaluated as a review tool for 57 Australian medical students in preclerkship years. Participants were evaluated by a rating self-efficacy scale, knowledge-based testing (multiple-choice, short-answer, and identification questions), and feedback to open-ended questions.

Results

Results indicate that the tutorial significantly improved direct knowledge (p = .006), as the experimental group's posttutorial scores for direct questions were superior by 21% on average. Significant improvements occurred specifically for direct short-answer and indirect image-identification questions.

Discussion

These results suggest the tutorial is an effective review tool. While previous tutorials were evaluated as adjunct tools, this tutorial was evaluated post-anatomy teaching with similar results. Students improved in direct and applied anatomy following tutorial exposure. This suggests that the tutorial series comprises valuable review and supplementary materials. None of our tutorials have been evaluated as a sole mechanism for teaching anatomy or imaging.

SUBMITTER: Marsland MJ

PROVIDER: S-EPMC6342358 | biostudies-literature | 2018 Nov

REPOSITORIES: biostudies-literature

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Publications

Pelvis Anatomy Tutorial Using Radiological Images.

Marsland Madeleine J MJ Tomic Dunya D Brian Pamela L PL Lazarus Michelle D MD

MedEdPORTAL : the journal of teaching and learning resources 20181128

<h4>Introduction</h4>Improving integration between basic science and clinical application is essential in medical education. Anatomy courses can do this by focusing on medical imaging interpretation. Most imaging textbooks rely on structural identification, which novice learners often struggle to apply to the health care environment, particularly in complex regions like the pelvis, which is multifaceted and differs substantially between sexes. To address this deficit, this resource extends our i ...[more]

PMID: 30800978

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Project description:PurposeOrgan autosegmentation efforts to date have largely been focused on adult populations, due to limited availability of pediatric training data. Pediatric patients may present additional challenges for organ segmentation. This paper describes a dataset of 359 pediatric chest-abdomen-pelvis and abdomen-pelvis Computed Tomography (CT) images with expert contours of up to 29 anatomical organ structures to aid in the evaluation and development of autosegmentation algorithms for pediatric CT imaging.Acquisition and validation methodsThe dataset collection consists of axial CT images in Digital Imaging and Communications in Medicine (DICOM) format of 180 male and 179 female pediatric chest-abdomen-pelvis or abdomen-pelvis exams acquired from one of three CT scanners at Children's Wisconsin. The datasets represent random pediatric cases based upon routine clinical indications. Subjects ranged in age from 5 days to 16 years, with a mean age of 7 years. The CT acquisition, contrast, and reconstruction protocols varied across the scanner models and patients, with specifications available in the DICOM headers. Expert contours were manually labeled for up to 29 organ structures per subject. Not all contours are available for all subjects, due to limited field of view or unreliable contouring due to high noise.Data format and usage notesThe data are available on The Cancer Imaging Archive (TCIA_ (https://www.cancerimagingarchive.net/) under the collection Pediatric-CT-SEG. The axial CT image slices for each subject are available in DICOM format. The expert contours are stored in a single DICOM RTSTRUCT file for each subject. The contour names are listed in Table 2.Potential applicationsThis dataset will enable the evaluation and development of organ autosegmentation algorithms for pediatric populations, which exhibit variations in organ shape and size across age. Automated organ segmentation from CT images has numerous applications including radiation therapy, diagnostic tasks, surgical planning, and patient-specific organ dose estimation.

Dataset Information

Pelvis Anatomy Tutorial Using Radiological Images.

Introduction

Methods

Results

Discussion

Publications

Pelvis Anatomy Tutorial Using Radiological Images.

Similar Datasets

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