Dataset Information

Role of chest CT scan in atypical cardiac trauma management: Left ventricle injury by a nail gun.

ABSTRACT: We report a case of an accidental penetrating cardiac trauma with a nail gun. A 28-year-old man was repairing a sofa with a nail gun when a nail was misfired to his chest. At the time of his presentation, he underwent chest CT scan, showing the nail as a sharp hyperdense foreign body penetrating the chest wall passing through the lower lobe of the left lung and finally the anterior aspect of left ventricle cavity. This report highlights the utility of the chest CT scan to detect trajectory of the misfired nail accurately and instantaneously in a hemodynamically stable patient to assist in the surgery plan.

SUBMITTER: Hajsadeghi S

PROVIDER: S-EPMC8403714 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature

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Role of chest CT scan in atypical cardiac trauma management: Left ventricle injury by a nail gun.

Hajsadeghi Shokoufeh S Zeraatian Nejad Davani Sam S Pour Mohammad Arash A Gholizadeh Mesgarha Milad M

Radiology case reports 20210826 11

We report a case of an accidental penetrating cardiac trauma with a nail gun. A 28-year-old man was repairing a sofa with a nail gun when a nail was misfired to his chest. At the time of his presentation, he underwent chest CT scan, showing the nail as a sharp hyperdense foreign body penetrating the chest wall passing through the lower lobe of the left lung and finally the anterior aspect of left ventricle cavity. This report highlights the utility of the chest CT scan to detect trajectory of th ...[more]

PMID: 34484531

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Project description:Objectives: The aim of this study is to develop a scar detection method for routine computed tomography angiography (CTA) imaging using deep convolutional neural networks (CNN), which relies solely on anatomical information as input and is compatible with existing clinical workflows. Background: Identifying cardiac patients with scar tissue is important for assisting diagnosis and guiding interventions. Late gadolinium enhancement (LGE) magnetic resonance imaging (MRI) is the gold standard for scar imaging; however, there are common instances where it is contraindicated. CTA is an alternative imaging modality that has fewer contraindications and is faster than Cardiovascular magnetic resonance imaging but is unable to reliably image scar. Methods: A dataset of LGE MRI (200 patients, 83 with scar) was used to train and validate a CNN to detect ischemic scar slices using segmentation masks as input to the network. MRIs were segmented to produce 3D left ventricle meshes, which were sampled at points along the short axis to extract anatomical masks, with scar labels from LGE as ground truth. The trained CNN was tested with an independent CTA dataset (25 patients, with ground truth established with paired LGE MRI). Automated segmentation was performed to provide the same input format of anatomical masks for the network. The CNN was compared against manual reading of the CTA dataset by 3 experts. Results: Note that 84.7% cross-validated accuracy (AUC: 0.896) for detecting scar slices in the left ventricle on the MRI data was achieved. The trained network was tested against the CTA-derived data, with no further training, where it achieved an 88.3% accuracy (AUC: 0.901). The automated pipeline outperformed the manual reading by clinicians. Conclusion: Automatic ischemic scar detection can be performed from a routine cardiac CTA, without any scar-specific imaging or contrast agents. This requires only a single acquisition in the cardiac cycle. In a clinical setting, with near zero additional cost, scar presence could be detected to triage images, reduce reading times, and guide clinical decision-making.

Dataset Information

Role of chest CT scan in atypical cardiac trauma management: Left ventricle injury by a nail gun.

Publications

Role of chest CT scan in atypical cardiac trauma management: Left ventricle injury by a nail gun.

Similar Datasets

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