Combining clinical and CT features, adjunctive use of a classification and regression tree (CART) diagnostic model demonstrated AUCs for detecting clear cell renal cell carcinoma (ccRCC) that were 15 to 22 percent higher than unassisted radiologist assessments.
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A computed tomography (CT)-based radiomics model that includes 28 radiomic features showed significantly higher accuracy, sensitivity, and specificity than conventional CT in differentiating benign and malignant thyroid nodules, according to newly published research.
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In a study of women with oligometastatic breast cancer, the use of 18F-FDG PET/CT detected additional metastases in one-third of cases that were not evident on conventional CT.
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The inclusion of simulated adjudication for resolving discordant nodule classifications in a deep learning model for assessing lung adenocarcinoma on chest CT resulted in a 12 percent increase in sensitivity rate.
The multimodality system nCommand Lite reportedly facilitates real-time remote imaging guidance on scanning parameters and procedure assessments to licensed technologists for a variety of imaging modalities including CT and MRI.
Catch up on the top AI-related news and research in radiology over the past month.
Catch up on the top radiology content of the past week.
Offering ease of mobility and self-driving capabilities, the Ciartic Move C-arm device reportedly reduces the stress and potential for error associated with manual repositioning during intraoperative imaging with computed tomography and fluoroscopy.
Emerging research suggests that a computed tomography (CT)-based radiomics model can predict FOXM1 expression and is independently prognostic for clear cell renal cell carcinoma.
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In comparison to standard-dose lung CT, the combination of deep learning image reconstruction with ultra-low-dose CT offered similar detection and characterization of pulmonary nodules at a nearly 93 percent reduction of radiation dosing, according to new research.
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Catch up on the top AI-related news and research in radiology over the past month.
The use of computed tomography (CT) for cases of minor head trauma was associated with a 29 percent higher incidence of hematologic malignant neoplasms in comparison to those with no CT, according to a new study involving over 2,400,000 pediatric patients.
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For the detection of nodal metastases in patients with early-stage cervical cancer, 18F FDG PET-CT offered a sensitivity rate that was double that of CT and 32 percent higher than MRI, according to newly published research.
In a computed tomography (CT) study assessing over 450 patients who had lung adenocarcinoma resection, researchers noted zero recurrence at five years and 97.7 percent recurrence-free survival at seven years for patients with resected pure ground glass nodules.
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Researchers found the use of deep learning reconstruction for computed tomography colonography (CTC) led to 25 percent higher subjective image quality scoring than iterative image reconstruction at a substantially reduced rate of radiation dosing.
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Catch up on the top radiology content of the past week.
