Dr. Lars Thorelius

Ultrasound
Can ultrasound benefit from the rest of radiology?
In part II of his two-part series on improving the clinical practice of ultrasound, Dr. Lars Thorelius from University Hospital in Linköping, Sweden, describes how his department has applied a radiological attitude and workflow to the modality, involving standardized scanning and full documentation, and the positive effects that have resulted.
March 7, 2007
Ultrasound
Ultrasound -- with liberty and justice for whom?
AuntMinnie.com presents a critique of ultrasound in clinical practice by Dr. Lars Thorelius, a radiologist at Linköping University Hospital in Sweden. Thorelius charges that ultrasound's increasingly minor role is a result of poor management and training, rather than any shortcomings in the modality.
February 11, 2007
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Example of AI-assisted pulmonary nodule detection and longitudinal volumetric assessment in a 65-year-old woman with peripheral arterial disease, a 24-pack-year smoking history, emphysema, and a family history of lung cancer. An incidental 8.5-mm right lower lobe pulmonary nodule is identified at CT angiography of the abdomen in July 2022 but does not receive follow-up. Subsequent imaging demonstrates interval growth, and CT-guided biopsy confirms stage IA lung adenocarcinoma. Contrast-enhanced axial chest CT images obtained on February 2, 2024, before robotic-assisted thoracoscopic segmentectomy, show a 12.1-mm spiculated right lower lobe pulmonary nodule. (A) Conventional contrast-enhanced axial chest CT image without AI assistance shows a 12.1-mm spiculated right lower lobe pulmonary nodule. (B) Corresponding CT image with AI-assisted pulmonary nodule detection, automated segmentation, and quantitative nodule assessment identifies a solid pulmonary nodule (nodule #1) measuring 13 × 8 (11) mm, with a volume of 739 mm3, a 45% volumetric increase compared with the previous contrast-enhanced chest CT performed on October 9, 2023 (510 mm3), and an estimated volume doubling time (VDT) of 216 days. (C) AI-generated longitudinal nodule analysis displays automated segmentation of the current (February 2, 2024) and previous (October 9, 2023) CT examinations, 3D nodule reconstruction, and quantitative volumetric assessment for longitudinal follow-up. The AI interface is displayed in the original software language (Dutch).
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