Radiology最新文献

Background Lutetium 177 (¹⁷⁷Lu) prostate-specific membrane antigen (PSMA) radioligand therapy is a novel treatment option for metastatic castration-resistant prostate cancer. Evidence suggests nephrotoxicity is a delayed adverse effect in a considerable proportion of patients. Purpose To identify predictive markers for clinically significant deterioration of renal function in patients undergoing ¹⁷⁷Lu-PSMA-I&T radioligand therapy. Materials and Methods This retrospective study analyzed patients who underwent at least four cycles of ¹⁷⁷Lu-PSMA-I&T therapy between December 2015 and May 2022. Total kidney volume (TKV) at 3 and 6 months after treatment was extracted from CT images using TotalSegmentator, a deep learning segmentation model based on the nnU-Net framework. A decline in estimated glomerular filtration rate (eGFR) of 30% or greater was defined as clinically significant, indicating a higher risk of end-stage renal disease. Two-sided t tests and Mann-Whitney U tests were used to compare baseline nephrotoxic risk factors, changes in eGFR and TKV, prior treatments, and the number of ¹⁷⁷Lu-PSMA-I&T cycles between patients with and without clinically significant eGFR decline at 12 months. Threshold values to differentiate between these two patient groups were identified using receiver operating characteristic curve analysis and the Youden index. Results A total of 121 patients (mean age, 76 years ± 7 [SD]) who underwent four or more cycles of ¹⁷⁷Lu-PSMA-I&T therapy with 12 months of follow-up were included. A 10% or greater decrease in TKV at 6 months predicted 30% or greater eGFR decline at 12 months (area under the receiver operating characteristic curve, 0.90 [95% CI: 0.85, 0.96]; P < .001), surpassing other parameters. Baseline risk factors (ρ = 0.01; P = .88), prior treatments (ρ = -0.06; P = .50), and number of ¹⁷⁷Lu-PSMA-I&T cycles (ρ = 0.08; P = .36) did not correlate with relative eGFR percentage decrease at 12 months. Conclusion Automated TKV assessment on standard-of-care CT images predicted deterioration of renal function 12 months after ¹⁷⁷Lu-PSMA-I&T therapy initiation in metastatic castration-resistant prostate cancer. Its better performance than early relative eGFR change highlights its potential as a noninvasive marker when treatment decisions are pending. © RSNA, 2025 Supplemental material is available for this article.

Artificial intelligence (AI) technology is rapidly being introduced into thoracic radiology practice. Current representative use cases for AI in thoracic imaging show cumulative evidence of effectiveness. These include AI assistance for reading chest radiographs and low-dose (1.5-mSv) chest CT scans for lung cancer screening and triaging pulmonary embolism on chest CT scans. Other potential use cases are also under investigation, including filtering out normal chest radiographs, monitoring reading errors, and automated opportunistic screening of nontarget diseases. However, implementing AI tools in daily practice requires establishing practical strategies. Practical AI implementation will require objective on-site performance evaluation, institutional information technology infrastructure integration, and postdeployment monitoring. Meanwhile, the remaining challenges of adopting AI technology need to be addressed. These challenges include educating radiologists and radiology trainees, alleviating liability risk, and addressing potential disparities due to the uneven distribution of data and AI technology. Finally, next-generation AI technology represented by large language models (LLMs), including multimodal models, which can interpret both text and images, is expected to innovate the current landscape of AI in thoracic radiology practice. These LLMs offer opportunities ranging from generating text reports from images to explaining examination results to patients. However, these models require more research into their feasibility and efficacy.

Background Randomized clinical trials have demonstrated that endovascular thrombectomy reduces functional disability in patients with large ischemic stroke; arterial collateral status might be used to select these patients for endovascular thrombectomy. Purpose To investigate whether arterial collateral status modifies the treatment effect of endovascular thrombectomy in patients with large ischemic stroke. Materials and Methods The Efficacy and Safety of Thrombectomy in Stroke with Extended Lesion and Extended Time Window (TENSION) trial was a prospective, multicenter, randomized study investigating participants with acute large ischemic stroke due to anterior circulation large-vessel occlusion. Participants with an Alberta Stroke Program Early CT Score of 3-5 were enrolled at 41 participating centers between July 2018 and February 2023. Participants were randomly assigned to undergo either endovascular thrombectomy with best medical treatment or best medical treatment alone within 12 hours from stroke onset. Collateral status was graded on pretreatment single-phase CT angiography (CTA) images using the Tan score and dichotomized into poor (grade, 0-1) or good (grade, 2-3) based on the extent of collateral supply filling the affected middle cerebral artery territory. The primary outcome was the shift on the 90-day modified Rankin Scale (mRS). Results Of 253 randomized patients, 201 with pretreatment CTA were included (median age, 74 years; IQR, 66-80 years; 103 [51.2%] female patients; 103 [51.2%] patients underwent endovascular thrombectomy). Endovascular thrombectomy compared with best medical treatment (adjusted common odds ratio [OR], 3.69; 95% CI: 2.12, 6.54; P < .001) and good collaterals compared with poor collaterals (adjusted common OR, 2.88; 95% CI: 1.63, 5.11; P < .001) were independently associated with a shift in the 90-day mRS scores toward better functional outcomes. The treatment effect of endovascular thrombectomy over best medical treatment was not modified by collateral status (interaction, P = .88). The treatment effect of endovascular thrombectomy versus best medical treatment was found in patients with good collaterals (adjusted common OR, 3.93; 95% CI: 1.65, 9.69; P = .002) and poor collaterals (adjusted common OR, 3.92; 95% CI: 1.86, 8.52; P < .001). Conclusion In this secondary analysis of data from the TENSION trial, endovascular thrombectomy reduced 90-day functional disability compared with best medical treatment in patients with good and poor collaterals. These findings suggest that patients with large ischemic stroke manifesting within 12 hours after onset should undergo endovascular thrombectomy irrespective of single-phase CTA collateral status. ClinicalTrials.gov Identifier: NCT03094715 © RSNA, 2025 Supplemental material is available for this article. See also the editorial by Benomar and Raymond in this issue.