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| http://dx.doi.org/10.3389/fpain.2025.1567956 | DOI Listing |
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A Deep Learning Model for Three-Dimensional Determination of Whole Thoracic Vertebral Bone Mineral Density from Noncontrast Chest CT: The Multi-Ethnic Study of Atherosclerosis.
Radiology
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Department of Radiology and Radiologic Sciences, Johns Hopkins University, Baltimore, Md.
Background Recent studies have investigated how deep learning (DL) algorithms applied to CT using two-dimensional (2D) segmentation (sagittal or axial planes) can calculate bone mineral density (BMD) and predict osteoporosis-related outcomes. Purpose To determine whether TotalSegmentator, an nnU-net algorithm, can measure three-dimensional (3D) vertebral body BMD across consistently imaged thoracic levels (T1-T10) at any conventional, noncontrast chest CT examination. Materials and Methods This study is a secondary analysis of a multicenter ( = 6) prospective cohort, the Multi-Ethnic Study of Atherosclerosis (MESA).
View Article and Find Full Text PDFEditorial: Phantom pain: mechanisms and updates in management.
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Department of Physical Medicine and Rehabilitation, Penn State Health Milton S. Hershey Medical Center, Penn State College of Medicine, Hershey, PA, United States.
Whole pancreas water T mapping at 3 Tesla.
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Institute of Diagnostic and Interventional Radiology, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany.
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View Article and Find Full Text PDFUnderlying factors that affect ultrasound conspicuity of breast biopsy markers: an exploratory study.
Transl Breast Cancer Res
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Beckman Institute for Advanced Science and Technology, The Grainger College of Engineering, Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
Background: During management of node-positive breast cancer, neoadjuvant systemic therapy (NST) is often used to de-escalate surgical intervention. To identify pathology-proven positive nodes regardless of visual changes after NST, breast biopsy clips or markers are inserted under ultrasound guidance as part of standard care, though most markers are used off-label in the axilla. However, clipped nodes may be difficult to visually confirm with ultrasound after a pathological complete response.
View Article and Find Full Text PDFRobustness of radiomics within photon-counting detector CT: impact of acquisition and reconstruction factors.
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Department of Imaging, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Objectives: To assess the impact of acquisition and reconstruction factors on the robustness of radiomics within photon-counting detector CT (PCD-CT).
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