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Representative Ga-68 DPI-4452 PET/CT images of regional and distant metastases in ccRCC from multiple patients, including regional lymph node (A), bilateral adrenal glands (B), lung (C), and bone (D). For each panel, top row shows fused PET/CT images, middle row shows PET-only images, and bottom row shows unenhanced CT images. Target lesions are highlighted by white arrows on fused/CT images and black arrows on PET images.
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Representative Ga-68 DPI-4452 PET/CT images of regional and distant metastases in ccRCC from multiple patients, including regional lymph node (A), bilateral adrenal glands (B), lung (C), and bone (D). For each panel, top row shows fused PET/CT images, middle row shows PET-only images, and bottom row shows unenhanced CT images. Target lesions are highlighted by white arrows on fused/CT images and black arrows on PET images.
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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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Example anteroposterior (AP) pelvic radiographs showing simulated acquisition artifacts used for stage 1 artifact-robust pretraining. Images are derived from the same AP pelvic radiograph from a 75-year-old woman with a CT- or MRI-confirmed left femoral-neck fracture. (A) Original AP pelvic radiograph. (B) Simulated grid or cable-shadow artifact. (C) Simulated motion-blur artifact. (D) Simulated sensor saturation or overexposure artifact.