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Radiologists' trust of AI is critical for hospital adoption
It wasn't that long ago that artificial intelligence (AI) proponents perpetuated the notion of AI marketplaces, believing that they provide a more straightforward way to purchase the technology that would soon lead to widespread adoption in hospital systems. But acquiring AI algorithms has never been the most challenging aspect of AI adoption.
January 25, 2022
2022 01 25 18 07 6201 Batman Sinan
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Woman Mother Stressed 400
MRI
MRI shows how hormones affect mood
MRI scans show how higher progesterone levels indicate lower mood.
Radiologists
Practice Management
Radiologist pipeline trails increase in training positions
Mammo Adobe Gorodenkoff
Breast
Neighborhood deprivation tied to lower breast cancer screening
Shutterstock 2028051956 (1)
Molecular Imaging
SPECT/CT access unequal across U.S.
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).
CT
AI cuts chest CT reporting time
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Shutterstock 2028051956 (1)
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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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Detection and extent of BI-RADS suspicious calcifications (amorphous, coarse heterogeneous, fine pleomorphic, and fine linear or fine linear branching) at axial photon-counting CT (PCCT) versus full-field digital mammography (first three images, craniocaudal view; last image, mediolateral oblique view). Calcifications found on mammography showed only partial visualization at ultrahigh-resolution PCCT (0.2 mm), while amorphous calcifications could not be distinguished from image noise. Corresponding abnormal enhancement was clearly depicted on contrast-enhanced PCCT images.
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Representative case from the non-nitroglycerin cohort. A 92-year-old man who did not receive sublingual nitroglycerin because of severe aortic stenosis. The Agatston coronary artery calcium score was 5438. (A) Curved multiplanar reformatted CCTA image reconstructed at 0.4-mm slice thickness using a Bv60 kernel and QIR strength 3 demonstrates diffuse multifocal mild luminal stenoses related to extensive calcified atherosclerotic plaque. (B) Invasive coronary angiography confirmed multifocal mild stenoses without evidence of obstructive coronary artery disease.
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Peritoneal carcinomatosis in ovarian cancer is cancer that has spread from the ovaries to the peritoneum.
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Comparison of contrast-enhanced CT (ceCT) and FAPI-PET in detecting peritoneal carcinomatosis in patient with advanced ovarian carcinoma. (A) ceCT shows subtle peritoneal thickening that is difficult to delineate. (B) Maximum-intensity-projection image demonstrating diffuse intense FAPI uptake corresponding to extensive peritoneal carcinomatosis. (C) FAPI-PET shows intense uptake corresponding with peritoneal carcinomatosis, with improved lesion conspicuity over ceCT.
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