Academic Radiology最新文献

{"title":"Habitat Radiomics and Deep Learning Features Based on CT for Predicting Lymphovascular Invasion in T1-stage Lung Adenocarcinoma: A Multicenter Study.","authors":"Pengliang Xu, Fandi Yao, Yunyu Xu, Huanming Yu, Wenhui Li, Shengxu Zhi, Xiuhua Peng","doi":"10.1016/j.acra.2025.04.005","DOIUrl":"https://doi.org/10.1016/j.acra.2025.04.005","url":null,"abstract":"<p><strong>Rationale and objectives: </strong>The research aims to examine how CT-derived habitat radiomics can be used to predict lymphovascular invasion (LVI) in patients with T1-stage lung adenocarcinoma (LUAD), and compare its effectiveness to traditional radiomics and deep learning (DL) models.</p><p><strong>Materials and methods: </strong>We retrospectively analyzed 349 T1-stage LUAD patients from three centers from January 2021 to March 2024. The K-means algorithm was utilized to cluster CT images and apparent diffusion coefficient maps. Following features selection, we constructed three types of models, namely radiomics, habitat, and DL to identify patients with LVI. The evaluation of all models was conducted by employing the area under the receiver operating characteristic curve (AUC), calibration curves and decision curve analysis.</p><p><strong>Results: </strong>349 eligible patients were divided into an internal training set of 210 and an external test set of 139. We identified four distinct habitats, with the AUC for the overall habitat area outperforming that of the four sub-areas. Within the test set, the habitat model reached a higher AUC of 0.941 in contrast to the radiomics model at 0.918 and the deep learning model at 0.896.</p><p><strong>Conclusion: </strong>CT-based habitat radiomics shows promise in predicting LVI in T1-stage LUAD patients, with the habitat signature demonstrating superior performance and significant advantages in identifying patients who are LVI-positive.</p>","PeriodicalId":50928,"journal":{"name":"Academic Radiology","volume":" ","pages":""},"PeriodicalIF":3.8,"publicationDate":"2025-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144059975","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessing Radiology Workflow Interruptions in the Era of Electronic Communications: A Human Factors Engineering Approach.","authors":"Shanmugapriya Loganathar, Giuseppe V Toia, Meghan G Lubner, Matthew H Lee","doi":"10.1016/j.acra.2025.03.050","DOIUrl":"https://doi.org/10.1016/j.acra.2025.03.050","url":null,"abstract":"<p><strong>Rationale and objectives: </strong>To identify the frequency and nature of messages, communication topics, and the contextual factors that lead to communication and potentially detrimental workflow interruptions via an electronic communication platform (ECP; WebEx) in a multi-subspecialty academic radiology practice.</p><p><strong>Materials and methods: </strong>In this retrospective sequential mixed methods quality improvement study, we performed quantitative analysis of WebEx messages from July 2022 to July 2023. Message frequency was determined across three daily timeframes corresponding to radiology coverage shifts. Structural topic modeling (STM) was used to identify common communication topics in WebEx. Semi-structured interviews with technologists and residents were performed to determine the context behind these topics. The Systems Engineering Initiative for Patient Safety (SEIPS) framework was used to analyze contextual factors influencing communication.</p><p><strong>Results: </strong>A total of 39,448 WebEx messages were analyzed. Timeframes with the highest frequency of messages were 7:30 AM-4:30 PM (4.2 messages/hr [SD 3.4]) and 4:30 PM-9:00 PM (4.2 messages/hr [SD 3.5]). Protocol-related questions were the most frequent topic (13%), followed by clarifications regarding allergy and contrast (7%), and exam appropriateness. 24 contextual factors influencing communication via WebEx were identified, including organizational factors (e.g., psychological safety, perceived workload), task characteristics (e.g., protocol complexity, time pressure), person characteristics (e.g., experience of technologists and residents), and physical environment (e.g., noise).</p><p><strong>Conclusion: </strong>High electronic message volumes and unnecessary interruptions via low friction ECPs and ad hoc messaging negatively impact radiology workflows and could affect patient safety. Organizational communication protocols could reduce workflow disruption for radiologists and technologists. Optimizing ECP communication protocols by time of day and message type could also improve workflow efficiency, ultimately enhancing patient safety and productivity. Future implementation of targeted interventions using these data is warranted.</p><p><strong>Summary: </strong>Human factors engineering strategies show that interruptions from high volume electronic communications that potentially have a negative impact on workflow, workload, and patient safety are contextual in nature. This study identifies targets for improved electronic communications in a busy academic radiology practice.</p>","PeriodicalId":50928,"journal":{"name":"Academic Radiology","volume":" ","pages":""},"PeriodicalIF":3.8,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144031120","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Incidental Detection of Parathyroid Adenomas on Chest CT: Methodological and Clinical Considerations.","authors":"Qi Xu","doi":"10.1016/j.acra.2025.04.013","DOIUrl":"https://doi.org/10.1016/j.acra.2025.04.013","url":null,"abstract":"","PeriodicalId":50928,"journal":{"name":"Academic Radiology","volume":" ","pages":""},"PeriodicalIF":3.8,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144049676","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Thanks to Our Reviewers.","authors":"N Reed Dunnick","doi":"10.1016/j.acra.2025.04.007","DOIUrl":"https://doi.org/10.1016/j.acra.2025.04.007","url":null,"abstract":"","PeriodicalId":50928,"journal":{"name":"Academic Radiology","volume":" ","pages":""},"PeriodicalIF":3.8,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144063042","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Advancements in Magnetic Resonance Imaging for the Evaluation of Pelvic Organ Prolapse: A Comprehensive Review.","authors":"Weiwei Lai, Guanghong Wang, Zeyun Zhao","doi":"10.1016/j.acra.2025.03.020","DOIUrl":"https://doi.org/10.1016/j.acra.2025.03.020","url":null,"abstract":"<p><p>Pelvic organ prolapse (POP) is a major health issue for women, making accurate diagnosis and assessment essential for effective clinical management. Among the various imaging techniques used for POP evaluation, translabial ultrasound and fluoroscopy have been widely utilized. Translabial ultrasound is a non-invasive, cost-effective method that provides real-time dynamic imaging of the pelvic floor during activities such as straining. Fluoroscopy, often employed in defecography, offers real-time visualization of pelvic organ movement but is limited by radiation exposure. Magnetic resonance imaging (MRI), with its superior soft tissue contrast and non-invasive nature, has emerged as a valuable tool for providing detailed anatomical and functional insights into POP This review outlines the advancements in using MRI to assess POP. It highlights the technical advantages, clinical applications, comparisons with other imaging methods, and future research directions. By analyzing recent research, we aim to clarify the role of MRI in evaluating POP and encourage its integration into clinical practice.</p>","PeriodicalId":50928,"journal":{"name":"Academic Radiology","volume":" ","pages":""},"PeriodicalIF":3.8,"publicationDate":"2025-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144057528","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Deep Learning in Knee MRI: A Prospective Study to Enhance Efficiency, Diagnostic Confidence and Sustainability","authors":"Philipp Reschke MD ,&nbsp;Jennifer Gotta MD ,&nbsp;Leon D. Gruenewald MD ,&nbsp;Ahmed Ait Bachir MD ,&nbsp;Ralph Strecker PhD ,&nbsp;Dominik Nickel PhD ,&nbsp;Christian Booz MD ,&nbsp;Simon S. Martin MD ,&nbsp;Jan-Erik Scholtz MD ,&nbsp;Tommaso D’Angelo MD ,&nbsp;Daniel Dahm cand. med. ,&nbsp;Levent A. Solim MD ,&nbsp;Paul Konrad cand. med. ,&nbsp;Scherwin Mahmoudi MD ,&nbsp;Simon Bernatz MD ,&nbsp;Saber Al-Saleh Mr ,&nbsp;Quang Anh Le Hong MD ,&nbsp;Christof M. Sommer MD ,&nbsp;Katrin Eichler MD ,&nbsp;Thomas J. Vogl MD ,&nbsp;Vitali Koch MD","doi":"10.1016/j.acra.2025.03.018","DOIUrl":"10.1016/j.acra.2025.03.018","url":null,"abstract":"<div><h3>Rationale and Objectives</h3><div>The objective of this study was to evaluate a combination of deep learning (DL)-reconstructed parallel acquisition technique (PAT) and simultaneous multislice (SMS) acceleration imaging in comparison to conventional knee imaging.</div></div><div><h3>Materials and Methods</h3><div>Adults undergoing knee magnetic resonance imaging (MRI) with DL-enhanced acquisitions were prospectively analyzed from December 2023 to April 2024. The participants received T1 without fat saturation and fat-suppressed PD-weighted TSE pulse sequences using conventional two-fold PAT (P2) and either DL-enhanced four-fold PAT (P4) or a combination of DL-enhanced four-fold PAT with two-fold SMS acceleration (P4S2). Three independent readers assessed image quality, signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), and radiomics features.</div></div><div><h3>Results</h3><div>34 participants (mean age 45<!--> <!-->±<!--> <!-->17<!--> <!-->years; 14 women) were included who underwent P4S2, P4, and P2 imaging. Both P4S2 and P4 demonstrated higher CNR and SNR values compared to P2 (P&lt;.001). P4 was diagnostically inferior to P2 only in the visualization of cartilage damage (P&lt;.005), while P4S2 consistently outperformed P2 in anatomical delineation across all evaluated structures and raters (P&lt;.05). Radiomics analysis revealed significant differences in contrast and gray-level characteristics among P2, P4, and P4S2 (P&lt;.05). P4 reduced time by 31% and P4S2 by 41% compared to P2 (P&lt;.05).</div></div><div><h3>Conclusion</h3><div>P4S2 DL acceleration offers significant advancements over P4 and P2 in knee MRI, combining superior image quality and improved anatomical delineation at significant time reduction. Its improvements in anatomical delineation, energy consumption, and workforce optimization make P4S2 a significant step forward.</div></div>","PeriodicalId":50928,"journal":{"name":"Academic Radiology","volume":"32 6","pages":"Pages 3585-3596"},"PeriodicalIF":3.8,"publicationDate":"2025-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144030625","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prediction of Tumor Budding Grading in Rectal Cancer Using a Multiparametric MRI Radiomics Combined with a 3D Vision Transformer Deep Learning Approach.","authors":"Zhanhong Liu, Hao Yang, Lin Nie, Peng Xian, Junfan Chen, Jianru Huang, Zhengkang Yao, Tianqi Yuan","doi":"10.1016/j.acra.2025.03.046","DOIUrl":"https://doi.org/10.1016/j.acra.2025.03.046","url":null,"abstract":"<p><strong>Rationale and objectives: </strong>The objective is to assess the effectiveness of a multiparametric MRI radiomics strategy combined with a 3D Vision Transformer (ViT) deep learning (DL) model in predicting tumor budding (TB) grading in individuals diagnosed with rectal cancer (RC).</p><p><strong>Materials and methods: </strong>This retrospective study analyzed data from 349 patients diagnosed with rectal adenocarcinoma across two hospitals. A total of 267 patients from our institution were randomly allocated to a training cohort (n=187) or an internal test cohort (n=80) in a 7:3 ratio. Furthermore, a cohort of 82 patients from another hospital was established for external testing purposes. Univariate and multivariate analyses were performed to pinpoint independent clinical risk factors, which were then utilized to develop a clinical model. Radiomics (Rad) models, a 3D ViT DL model, and a combined model (DLR) were built using 3D T2-weighted imaging (T2WI), diffusion-weighted imaging (DWI), and contrast-enhanced T1-weighted imaging (T1CE). The evaluation of each model's predictive performance involved calculating the area under the curve (AUC), conducting the Delong test, and examining calibration curves alongside decision curve analysis (DCA).</p><p><strong>Results: </strong>No notable clinical characteristics were observed in either univariate or multivariate analyses, hindering the establishment of a clinical model. The DLR model demonstrated exceptional performance, attaining an AUC of 0.938 (95% CI: 0.906-0.969) within the training cohort, 0.867 (95% CI: 0.779-0.954) in the internal test cohort, and 0.824 (95% CI: 0.734-0.914) in the external test cohort.</p><p><strong>Conclusion: </strong>The combination of multiparametric MRI radiomics and 3D ViT DL effectively and non-invasively predicts TB grading in RC patients, offering valuable insights for personalized treatment planning and prognosis assessment.</p>","PeriodicalId":50928,"journal":{"name":"Academic Radiology","volume":" ","pages":""},"PeriodicalIF":3.8,"publicationDate":"2025-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144037902","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Small Balloon Dilation Versus Bougie Dilation Versus Large Balloon Dilation for the Treatment of Benign Esophageal Strictures in Adult Patients.","authors":"Ping Liu, Changqing Guo, Gang Wu, Jianzhuang Ren, Xinwei Han, Yonghua Bi","doi":"10.1016/j.acra.2025.03.055","DOIUrl":"https://doi.org/10.1016/j.acra.2025.03.055","url":null,"abstract":"<p><strong>Rationale and objectives: </strong>The optimal treatment for benign esophageal strictures (BES) is still unknown, small balloon dilation (6-24mm in diameter) and bougie dilator dilation (5-17mm in diameter) are usually used clinically, while large balloon dilation (25-30mm in diameter) is rarely used due to the potential risk of esophageal rupture and massive bleeding. According to the different choices of treatment, we grouped the patients into three groups and compared their safety and effectiveness to explore the optimal treatment of BES.</p><p><strong>Materials and methods: </strong>Between July 2016 and March 2024, 104 consecutive patients with BES who underwent dilation of small balloon (Group S, n=30), bougie dilator (Group B, n=38) or large balloon (Group L, n=36) were retrospectively evaluated. Data were collected to analyze the technical success, safety and clinical outcome of the dilations as evaluated by dysphagia score, complications and recurrence.</p><p><strong>Results: </strong>Technically success rates of Group S, Group B and Group L were 97.0%, 96.7% and 89.9%, respectively (P=0.0507). Recurrence of stricture and esophageal rupture were the reasons for technical failures in balloon and bougie dilation. Esophageal ruptures occurred in 11 dilations as follows: 4 (3.0%) in the Group S, 2 (1.7%) in the Group B and 5 (7.2%) in the Group L (P=0.1184). Among them, two patients with type III rupture had temporary removable esophageal stent placed, and rupture healed after stents removal. Two patients with type II rupture had the rupture clamped with titanium clips. A total of 55/104 patients (52.9%) were cured with no dysphagia after the end of follow-up as follows: 12 (40.0%) in the Group S, 18 (47.4%) in the Group B and 25 (69.4%) in the Group L (P=0.0385). Less No. of dilation sessions and shorter duration of treatment were required in the Group L than in the Group S or the Group B (P<0.05). Total hospitalization cost was higher in the Group S than in the Group B or the Group L (P<0.05).</p><p><strong>Conclusion: </strong>Both balloon dilation and bougie dilation are safe and effective for patients with benign esophageal strictures. Large balloon dilation seems to be preferable to small balloon dilation and bougie dilation regardless of the condition of adult BES, as they are associated with higher clinical effectiveness, less required dilation, and reduced duration of treatment.</p>","PeriodicalId":50928,"journal":{"name":"Academic Radiology","volume":" ","pages":""},"PeriodicalIF":3.8,"publicationDate":"2025-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144056003","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Artificial Intelligence in CT Angiography for the Detection of Coronary Artery Stenosis and Calcified Plaque: A Systematic Review and Meta-analysis.","authors":"Ming Du, Shuang He, Jiaojiao Liu, Long Yuan","doi":"10.1016/j.acra.2025.03.054","DOIUrl":"https://doi.org/10.1016/j.acra.2025.03.054","url":null,"abstract":"<p><strong>Purpose: </strong>We aimed to evaluate the diagnostic performance of artificial intelligence (AI) in detecting coronary artery stenosis and calcified plaque on CT angiography (CTA), comparing its diagnostic performance with that of radiologists.</p><p><strong>Methods: </strong>A thorough search of the literature was performed using PubMed, Web of Science, and Embase, focusing on studies published until October 2024. Studies were included if they evaluated AI models in detecting coronary artery stenosis and calcified plaque on CTA. A bivariate random-effects model was employed to determine combined sensitivity and specificity. Study heterogeneity was assessed using I² statistics. The risk of bias was assessed using the revised quality assessment of diagnostic accuracy studies-2 tool, and the evidence level was graded using the Grading of Recommendations Assessment, Development and Evalutiuon (GRADE) system.</p><p><strong>Results: </strong>Out of 1071 initially identified studies, 17 studies with 5560 patients and images were ultimately included for the final analysis. For coronary artery stenosis ≥50%, AI showed a sensitivity of 0.92 (95% CI: 0.88-0.95), specificity of 0.87 (95% CI: 0.80-0.92), and AUC of 0.96 (95% CI: 0.94-0.97), outperforming radiologists with sensitivity of 0.85 (95% CI: 0.67-0.94), specificity of 0.84 (95% CI: 0.62-0.94), and AUC of 0.91 (95% CI: 0.89-0.93). For stenosis ≥70%, AI achieved a sensitivity of 0.88 (95% CI: 0.70-0.96), specificity of 0.96 (95% CI: 0.90-0.99), and AUC of 0.98 (95% CI: 0.96-0.99). In calcified plaque detection, AI demonstrated a sensitivity of 0.93 (95% CI: 0.84-0.97), specificity of 0.94 (95% CI: 0.88-0.96), and AUC of 0.98 (95% CI: 0.96-0.99).\"</p><p><strong>Conclusion: </strong>AI-based CT demonstrated superior diagnostic performance compared to clinicians in identifying ≥50% stenosis in coronary arteries and showed excellent diagnostic performance in recognizing ≥70% coronary artery stenosis and calcified plaque. However, limitations include retrospective study designs and heterogeneity in CTA technologies. Further external validation through prospective, multicenter trials is required to confirm these findings.</p><p><strong>Data availability statement: </strong>The original findings of this research are included in the article. For additional inquiries, please contact the corresponding authors.</p>","PeriodicalId":50928,"journal":{"name":"Academic Radiology","volume":" ","pages":""},"PeriodicalIF":3.8,"publicationDate":"2025-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144057301","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Ultrasound-Stimulated Microbubbles Cavitation Combined with Nitric Oxide Signaling Pathway to Alleviate Tumor Hypoperfusion and Hypoxia in MC38 Tumor Model.","authors":"Tingting Luo, Lei Yao, You Wu, Yi Zhang, Lian Lu, Peng He, Ningshan Li, Xiaoxiao Dong, Zheng Liu","doi":"10.1016/j.acra.2025.03.034","DOIUrl":"https://doi.org/10.1016/j.acra.2025.03.034","url":null,"abstract":"<p><strong>Rationale and objectives: </strong>Ultrasound-stimulated microbubbles cavitation (USMC) has been proved to improve tumor blood perfusion, which is closely related to the rise in nitric oxide (NO) bioavailability. This study was aimed to investigate whether the co-administration of USMC and NO signaling molecule could contribute to a further enhancement of tumor perfusion.</p><p><strong>Materials and methods: </strong>Ninety-six MC38 tumor-bearing mice were divided into eight groups to compare the efficacy of different NO-related molecules alone and in combination with USMC, including L-arginine (L-Arg), NOC-18 and sodium nitrite (SN). To better evaluate the changes of tumor perfusion, six mice in each group received contrast-enhanced ultrasound imaging and the other six received ultra-resolution microscopy before and after treatment. Differences in NO generation and tumor hypoxia after treatments were also compared to identify an ideal co-therapy strategy. Further, inhibitors of NO synthase and NO receptor were adopted to explore mechanisms of the co-therapy in improving tumor perfusion.</p><p><strong>Results: </strong>Contrast-enhanced ultrasound imaging and ultra-resolution microscopy showed that USMC and SN had a positive synergistic effect in improving tumor perfusion. NO synthase inhibitor failed to block this effect while NO receptor inhibitor did. The tumor perfusion enhancement accompanied with the alleviation of tumor hypoxia and the increase of NO production. L-Arg and NOC-18 did not demonstrate synergistic effects with USMC.</p><p><strong>Conclusion: </strong>Co-administration of USMC and NO pathway is a promising modality to alleviate tumor hypoperfusion and hypoxia, among which SN is an effective reagent playing a positive synergistic effect with USMC.</p>","PeriodicalId":50928,"journal":{"name":"Academic Radiology","volume":" ","pages":""},"PeriodicalIF":3.8,"publicationDate":"2025-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143997560","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}