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Abstract The study aimed to evaluate the impact of AI assistance on pulmonary nodule detection rates among radiology residents and senior radiologists, along with assessing the effectiveness of two different commercialy available AI software systems in improving detection rates and LungRADS classification in chest CT. The study cohort included 198 participants with 221 pulmonary nodules. Residents’ mean detection rate increased significantly from 64 to 77% with AI assist, while seniors’ detection rate remained largely unchanged (85% vs. 86%). Residents showed significant improvement in segmental nodule localization with AI assistance, seniors did not. Software 2 slightly outperformed software 1 in increasing detection rates (67–77% vs. 80–86%), but neither significantly affected LungRADS classification. The study suggests that clinical experience mitigates the need for additional AI software, with the combination of CAD with residents being the most beneficial approach. Both software systems performed similarly, with software 2 showing a slightly higher but non-significant increase in detection rates.

Twelve Communist trade union leaders from nine nations in the prosperous post-war period are compared, on the basis of an in-depth Belgian example, in an attempt to define their common theoretical profile. Five major analogies, from family origins to the end of their careers, offer a hypothetical look at the militant career of twelve workers with little schooling who fought major socio-political conflicts with their factory workers and took on major responsibilities at the head of their union and party, not without encountering numerous problems and internal tensions. This analysis provides a glimpse into the ethos of a particular type of trade unionist and the environment that led them to surpass themselves and break through the glass ceiling of social reproduction, without betraying the aspirations and values of their class.

To determine the diagnostic performance of simulated reduced-dose chest CT scans regarding pulmonary T1 tumors and assess the potential impact on patient management, a repository of 218 patients with histologically proven pulmonary T1 tumors was used. Virtual reduced-dose images were simulated at 25%- and 5%-dose levels. Tumor size, attenuation, and localization were scored by two experienced chest radiologists. The impact on patient management was assessed by comparing hypothetical LungRADS scores. The study included 210 patients (41% females, mean age 64.5 ± 9.2 years) with 250 eligible T1 tumors. There were differences between the original and the 5%—but not the 25%—dose simulations, and LungRADS scores varied between the dose levels with no clear trend. Sensitivity of Reader 1 was significantly lower using the 5%-dose vs. 25%-dose vs. original dose for size categorization (0.80 vs. 0.85 vs. 0.84; p = 0.007) and segmental localization (0.81 vs. 0.86 vs. 0.83; p = 0.018). Sensitivities of Reader 2 were unaffected by a dose reduction. A CT dose reduction may affect the correct categorization and localization of pulmonary T1 tumors and potentially affect patient management.

Background: Extracellular volume (ECV) correlates with the degree of liver fibrosis. Purpose: To analyze the performance of liver MRI‐based ECV evaluations with different blood pool measurements at different time points. Study Type: Prospective. Sample: 73 consecutive patients (n = 31 females, mean age 56 years) with histopathology‐proven liver fibrosis. Field Strength/Sequence: 3T acquisition within 90 days of biopsy, including shortened modified look–locker inversion recovery T1 mapping. Assessment: Polygonal regions of interest were manually drawn in the liver, aorta, vena cava, and in the main, left and right portal vein on four slices before and after Gd‐DOTA administration at 5/10/15 minutes. ECV was calculated 1) on one single slice on portal bifurcation level, and 2) averaged over all four slices. Statistical Tests: Parameters were compared between patients with fibrosis grades F0‐2 and F3‐F4 with the Mann–Whitney U and fishers exact test. ROC analysis was used to assess the performance of the parameters to predict F3‐4 fibrosis. A P‐value <0.05 was considered statistically significant. Results: ECV was significantly higher in F3‐4 fibrosis (35.4% [33.1%–37.6%], 36.1% [34.2%–37.5%], and 37.0% [34.8%–39.2%] at 5/10/15 minutes) than in patients with F0‐2 fibrosis (33.3% [30.8%–34.8%], 33.7% [31.6%–34.7%] and 34.9% [32.2%–36.0%]; AUC = 0.72–0.75). Blood pool T1 relaxation times in the aorta and vena cava were longer on the upper vs. lower slices at 5 minutes, but not at 10/15 minutes. AUC values were similar when measured on a single slice (AUC = 0.69–0.72) or based on blood pool measurements in the cava or portal vein (AUC = 0.63–0.67 and AUC = 0.65–0.70). Data Conclusion: Liver ECV is significantly higher in F3‐4 fibrosis compared to F0‐2 fibrosis with blood pool measurements performed in the aorta, inferior vena cava, and portal vein at 5, 10, and 15 minutes. However, a smaller variability was observed for blood pool measurements between slices at 15 minutes. Level of Evidence: 1 Technical Efficacy: Stage 3 [ABSTRACT FROM AUTHOR]

To determine the diagnostic performance of simulated reduced-dose chest CT scans regarding pulmonary T1 tumors and assess the potential impact on patient management, a repository of 218 patients with histologically proven pulmonary T1 tumors was used. Virtual reduced-dose images were simulated at 25%- and 5%-dose levels. Tumor size, attenuation, and localization were scored by two experienced chest radiologists. The impact on patient management was assessed by comparing hypothetical LungRADS scores. The study included 210 patients (41% females, mean age 64.5 ± 9.2 years) with 250 eligible T1 tumors. There were differences between the original and the 5%—but not the 25%—dose simulations, and LungRADS scores varied between the dose levels with no clear trend. Sensitivity of Reader 1 was significantly lower using the 5%-dose vs. 25%-dose vs. original dose for size categorization (0.80 vs. 0.85 vs. 0.84; p = 0.007) and segmental localization (0.81 vs. 0.86 vs. 0.83; p = 0.018). Sensitivities of Reader 2 were unaffected by a dose reduction. A CT dose reduction may affect the correct categorization and localization of pulmonary T1 tumors and potentially affect patient management. [ABSTRACT FROM AUTHOR]