American Journal of Roentgenology最新文献

{"title":"The Global Reading Room: A Pregnant Patient With Headache.","authors":"Sandy Cheng-Yu Chen,David Doig,Paulo Puac-Polanco,Noushin Yahyavi-Firouz-Abadi","doi":"10.2214/ajr.24.31990","DOIUrl":"https://doi.org/10.2214/ajr.24.31990","url":null,"abstract":"","PeriodicalId":55529,"journal":{"name":"American Journal of Roentgenology","volume":null,"pages":null},"PeriodicalIF":5.0,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142227851","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":"Optimizing the Patient Experience in Breast Imaging Facilities: <i>AJR</i> Expert Panel Narrative Review.","authors":"Ashley I Huppe, Vilert A Loving, Priscilla J Slanetz, Stamatia Destounis, Rachel F Brem, Laurie R Margolies","doi":"10.2214/AJR.23.29995","DOIUrl":"10.2214/AJR.23.29995","url":null,"abstract":"<p><p>Breast imaging studies are complex examinations for patients and providers. Breast imaging providers and organizations invest significant resources in educating patients and referring physicians to address variability in changing breast cancer screening recommendations, cultural biases, and socioeconomic barriers for patients. The breast imaging examination frequently involves multiple imaging modalities, including interventional procedures, thus requiring multiple room types. Practices need to consider the variables that affect workflow efficiency throughout the process of examination scheduling, performance, interpretation, and results delivery, as well as options in facilities design for creating inviting yet functional environments for patients. Breast imaging appointments provide an opportunity to capture individual breast cancer risk and to engage patients in health education and breast screening awareness. This <i>AJR</i> Expert Panel Narrative Review discusses ways in which breast imaging facilities can optimize a patient's experience throughout the complex process of a breast imaging examination, based on the authors' observations and opinions informed by private and academic breast imaging experience.</p>","PeriodicalId":55529,"journal":{"name":"American Journal of Roentgenology","volume":null,"pages":null},"PeriodicalIF":4.7,"publicationDate":"2024-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"107592923","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":"Photon-Counting Detector CT Iodine Maps for Pituitary Adenoma in Cushing Disease.","authors":"Ian T Mark, Lifeng Yu","doi":"10.2214/AJR.24.31418","DOIUrl":"10.2214/AJR.24.31418","url":null,"abstract":"","PeriodicalId":55529,"journal":{"name":"American Journal of Roentgenology","volume":null,"pages":null},"PeriodicalIF":4.7,"publicationDate":"2024-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141263650","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":"PPV of Bone Uptake of ¹⁸F-Flotufolastat: Evaluation Using SPOTLIGHT Study Data.","authors":"David M Schuster, Ashesh B Jani, Charles V Marcus, Albert Chau, Phillip Davis","doi":"10.2214/AJR.24.31698","DOIUrl":"10.2214/AJR.24.31698","url":null,"abstract":"","PeriodicalId":55529,"journal":{"name":"American Journal of Roentgenology","volume":null,"pages":null},"PeriodicalIF":4.7,"publicationDate":"2024-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142127469","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":"The Role of Data in Radiology's Green Transformation: <i>AJR</i> Podcast Series on Sustainability, Episode 2.","authors":"Sean Woolen, Katherine E Maturen","doi":"10.2214/AJR.24.31994","DOIUrl":"https://doi.org/10.2214/AJR.24.31994","url":null,"abstract":"","PeriodicalId":55529,"journal":{"name":"American Journal of Roentgenology","volume":null,"pages":null},"PeriodicalIF":4.7,"publicationDate":"2024-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142127471","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":"Intrapatient Changes in CT-Based Body Composition After Initiation of Semaglutide (Glucagon-Like Peptide-1 Agonist) Therapy.","authors":"Leslie W Nelson, Matthew H Lee, John W Garrett, Silas G Pickhardt, Joshua D Warner, Ronald M Summers, Perry J Pickhardt","doi":"10.2214/AJR.24.31805","DOIUrl":"https://doi.org/10.2214/AJR.24.31805","url":null,"abstract":"<p><p><b>Background:</b> The long-acting glucagon-like peptide-1 receptor agonist semaglutide is used to treat type 2 diabetes or obesity in adults. Clinical trials have observed associations of semaglutide with weight loss, improved diabetic control, and cardiovascular risk reduction. <b>Objective:</b> To evaluate intrapatient changes in body composition after initiation of semaglutide therapy by applying an automated suite of CT-based artificial intelligence (AI) body composition tools. <b>Methods:</b> This retrospective study included adult patients with semaglutide treatment who underwent abdominopelvic CT both within 5 years before and within 5 years after semaglutide initiation, between January 2016 and November 2023. An automated suite of previously validated CT-based AI body composition tools was applied to pre-semaglutide and post-semaglutide scans to quantify visceral adipose tissue (VAT) and subcutaneous adipose tissue (SAT) area, skeletal muscle area and attenuation, intermuscular adipose tissue (IMAT) area, liver volume and attenuation, and trabecular bone mineral density (BMD). Patients with ≥5-kg weight loss and ≥5-kg weight gain between scans were compared. <b>Results:</b> The study included 241 patients (mean age, 60.4±12.4 years; 151 women, 90 men). In the weight-loss group (n=67), the post-semaglutide scan, versus pre-semaglutide scan, showed decrease in VAT area (341.1 vs 309.4 cm², p<.001), SAT area (371.4 vs 410.7 cm², p<.001), muscle area (179.2 vs 193.0, p<.001), and liver volume (2379.0 vs 2578 HU, p=.009), and increase in liver attenuation (74.5 vs 67.6 HU, p=.03). In the weight-gain group (n=48), the post-semaglutide scan, versus pre-semaglutide scan, showed increase in VAT area (334.0 vs 312.8, p=.002), SAT area (485.8 vs 488.8 cm², p=.01), and IMAT area (48.4 vs 37.6, p=.009), and decrease in muscle attenuation (5.9 vs 13.1, p<.001). Other comparisons were not significant (p>.05). <b>Conclusion:</b> Patients using semaglutide who lost versus gained weight demonstrated distinct patterns of changes in CT-based body composition measures. Those with weight loss exhibited overall favorable shifts in measures related to cardiometabolic risk. Muscle attenuation decrease in those with weight gain is consistent with decreased muscle quality. <b>Clinical Impact:</b> Automated CT-based AI tools provide biomarkers of body composition changes in patients using semaglutide beyond that which is evident by standard clinical measures.</p>","PeriodicalId":55529,"journal":{"name":"American Journal of Roentgenology","volume":null,"pages":null},"PeriodicalIF":4.7,"publicationDate":"2024-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142134518","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":"Whole-Body Multiparametric PET in Clinical Oncology: Current Status, Challenges, and Opportunities.","authors":"Tyler J Fraum, Hasan Sari, André H Dias, Ole L Munk, Thomas Pyka, Anne M Smith, Osama R Mawlawi, Richard Laforest, Guobao Wang","doi":"10.2214/AJR.24.31712","DOIUrl":"https://doi.org/10.2214/AJR.24.31712","url":null,"abstract":"<p><p>The interpretation of clinical oncologic PET studies has historically used static reconstructions based on SUVs. SUVs and SUV-based images have important limitations, including dependence on uptake times and reduced conspicuity of tracer-avid lesions in organs with high background uptake. The acquisition of dynamic PET images enables additional PET reconstructions via Patlak modeling, which assumes that a tracer is irreversibly trapped by tissues of interest. The resulting multiparametric PET images capture a tracer's net trapping rate (Ki) and apparent volume of distribution (VD), separating the contributions of bound and free tracer fractions to the PET signal captured in the SUV. Potential benefits of multiparametric PET include higher quantitative stability, superior lesion conspicuity, and greater accuracy for differentiating malignant and benign lesions. However, the imaging protocols necessary for multiparametric PET are inherently more complex and time-intensive, despite the recent introduction of automated or semiautomated scanner-based reconstruction packages. In this Review, we examine the current state of multiparametric PET in whole-body oncologic imaging. We summarize the Patlak methodology and relevant tracer kinetics, discuss clinical workflows and protocol considerations, and highlight clinical challenges and opportunities. We aim to help oncologic imagers make informed decisions about whether to implement multiparametric PET in their clinical practices.</p>","PeriodicalId":55529,"journal":{"name":"American Journal of Roentgenology","volume":null,"pages":null},"PeriodicalIF":4.7,"publicationDate":"2024-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142127472","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":"Prospective Evaluation of Artificial Intelligence Triage of Intracranial Hemorrhage on Noncontrast Head CT Examinations.","authors":"Cody H Savage, Manoj Tanwar, Asser Abou Elkassem, Adam Sturdivant, Omar Hamki, Houman Sotoudeh, Gopi Sirineni, Aparna Singhal, Desmin Milner, Jesse Jones, Dirk Rehder, Mei Li, Yufeng Li, Kevin Junck, Srini Tridandapani, Steven A Rothenberg, Andrew D Smith","doi":"10.2214/AJR.24.31639","DOIUrl":"https://doi.org/10.2214/AJR.24.31639","url":null,"abstract":"<p><p><b>Background:</b> Retrospective studies evaluating artificial intelligence (AI) algorithms for intracranial hemorrhage (ICH) detection on noncontrast CT (NCCT) have shown promising results but lack prospective validation. <b>Objective:</b> To evaluate the impact on radiologists' real-world aggregate performance for ICH detection and report turnaround times for ICH-positive examinations of a radiology department's implementation of an AI triage and notification system for ICH detection on head NCCT examinations. <b>Methods:</b> This prospective single-center study included adult patients who underwent head NCCT examinations from May 12, 2021 to June 30, 2021 (phase 1) or September 30, 2021 to December 4, 2021 (phase 2). Before phase 1, the radiology department implemented a commercial AI triage system for ICH detection that processed head NCCT examinations and notified radiologists of positive results through a widget with a floating pop-up display. Examinations were interpreted by neuroradiologists or emergency radiologists, who evaluated examinations without and with AI assistance in phase 1 and phase 2, respectively. A panel of radiologists conducted a review process for all examinations with discordance between the radiology report and AI and a subset of remaining examinations, to establish the reference standard. Diagnostic performance and report turnaround times were compared using Pearson chi-square test and Wilcoxon rank-sum test, respectively. Bonferroni correction was used to account for five diagnostic performance metrics (adjusted significance threshold, .01 [α=.05/5]). <b>Results:</b> A total of 9954 examinations from 7371 patients (mean age, 54.8±19.8 years; 3773 female, 3598 male) were included. In phases 1 and 2, 19.8% (735/3716) and 21.9% (1368/6238) of examinations, respectively, were positive for ICH (P=.01). Radiologists without versus with AI showed no significant difference in accuracy (99.5% vs 99.2%), sensitivity (98.6% vs 98.9%), PPV (99.0% vs 99.7%), or NPV (99.7% vs 99.7%) (all P>.01); specificity was higher for radiologists without than with AI (99.8% vs 99.3%, respectively, P=.004). Mean report turnaround time for ICH-positive examinations was 147.1 minutes without AI versus 149.9 minutes with AI (P=.11). <b>Conclusion:</b> An AI triage system for ICH detection did not improve radiologists' diagnostic performance or report turnaround times. <b>Clinical Impact:</b> This large prospective real-world study does not support use of AI assistance for ICH detection.</p>","PeriodicalId":55529,"journal":{"name":"American Journal of Roentgenology","volume":null,"pages":null},"PeriodicalIF":4.7,"publicationDate":"2024-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142127470","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":"Neonatal Anthropometric Measurements: A Comparison of Neonates With 3-T Fetal MRI Exposure, With 1.5-T Fetal MRI Exposure, and Without In-Utero MRI Exposure.","authors":"Enrico Danzer, Valeria Peña-Trujillo, Sebastian Gallo-Bernal, Michael S Gee, Teresa Victoria","doi":"10.2214/AJR.24.31647","DOIUrl":"https://doi.org/10.2214/AJR.24.31647","url":null,"abstract":"<p><p><b>Background:</b> Fetal MRI is increasingly performed at 3 T. Nonetheless, safety concerns persist regarding potential increased risk of intrauterine growth restriction from in-utero 3-T MRI exposure. <b>Objective:</b> To compare neonatal anthropometric measurements between newborns who underwent 3-T fetal MRI, newborns who underwent 1.5-T fetal MRI, and newborns without in utero MRI exposure. <b>Methods:</b> This single-center retrospective study included gravid patients who underwent fetal ultrasound and possible 1.5-T or 3-T fetal MRI within 10 days from January 2017 to January 2022. For each included patient who also underwent 3-T fetal MRI, one matched patient who also underwent 1.5-T MRI and two matched patients without in-utero MRI exposure, were randomly selected. Matching was based on gestational age per the fetal ultrasound. Neonatal anthropometric characteristics were compared among groups. <b>Results:</b> The final sample included 416 patients (mean age, 32±5 years), 104 in the 3-T MRI group, 104 in the 1.5-T MRI group, and 208 in the MRI-unexposed group. Mean gestational age at the time of fetal ultrasound used for matching was 27 weeks 2 days in the 3-T group, 25 weeks 2 days in the 1.5-T group, and 26 weeks 0 days in the MRI-unexposed group (p=.07). The distribution of indications for fetal MRI was not significantly different between the 3-T and 1.5-T groups (p=.62). Mean gestational age at delivery was 37 weeks 5 days in the 3-T group, 38 weeks 0 day in the 1.5-T group, and 38 weeks 2 days in the unexposed group (p=.51). No significant difference (p=.09) was observed among groups in mean neonatal weight (3-T: 3120±753 g; 1.5-T: 3104±704 g; unexposed: 2967±614 g); neonatal weight percentile (3-T: 45±27; 1.5-T: 42±26; MRI: 41±24); neonatal head circumference (3-T: 34±3 cm; 1.5-T: 34±3 cm; unexposed: 34±2 cm), or neonatal head circumference percentile (3-T: 48±29; 1.5-T: 42±23; unexposed: 43±30). <b>Conclusion:</b> There were no significant differences in neonatal anthropometric measurements among newborns who underwent in-utero 3-T MRI, newborns who underwent in-utero 1.5-T MRI, and newborns without in-utero MRI exposure. <b>Clinical Impact:</b> The results support the safety of 3-T MRI with respect to growth of the developing fetus.</p>","PeriodicalId":55529,"journal":{"name":"American Journal of Roentgenology","volume":null,"pages":null},"PeriodicalIF":4.7,"publicationDate":"2024-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142127468","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":"Diagnostic Performance of MRI and FDG PET/CT for Preoperative Locoregional Staging of Colon Cancer: Systematic Review and Meta-Analysis.","authors":"Daan J Sikkenk, Isabelle J Henskens, Bart van de Laar, Thijs A Burghgraef, David W da Costa, Inne Somers, Paul M Verheijen, Joost Nederend, Wouter B Nagengast, Pieter J Tanis, Esther C J Consten","doi":"10.2214/AJR.24.31440","DOIUrl":"https://doi.org/10.2214/AJR.24.31440","url":null,"abstract":"<p><p><b>Background:</b> CT is the standard-of-care test for colon cancer (CC) preoperative locoregional staging, but has limited diagnostic performance. More accurate preoperative staging would guide selection among expanding patient-tailored treatment options. <b>Objective:</b> To evaluate the diagnostic performance of MRI for T and N staging and of FDG PET/CT for N staging in CC locoregional staging through systematic review. <b>Evidence Acquisition:</b> PubMed, Embase, and Cochrane Library were searched through December 31, 2023 for studies reporting diagnostic performance of MRI or FDG PET/CT for primary (nonrectal) CC before resection without neoadjuvant therapy using histopathology as reference. Study quality was assessed using the QUADAS-2 tool. Publication bias was assessed with Deeks' funnel plot. Primary outcomes were estimated pooled predictive values, stratified by T and N categories for MRI and N categories for PET/CT. Secondary outcomes were pooled sensitivity and specificity. <b>Evidence Synthesis:</b> The systematic review included 11 MRI studies (686 patients) and five PET/CT studies (408 patients). Thirteen studies had at least one risk of bias or concern of applicability. Deeks' funnel plot asymmetry indicated possible publication bias in MRI studies for differentiation of T3cd-4 from T1-3ab disease and N- from N+ disease. For MRI, for discriminating T1-2 from T3-4 disease, PPV was 64.8% (95% CI [52.9-75.5%]), and NPV was 88.9% (95% CI [82.7-93.7%]); for discriminating T1-3ab from T3cd-4 disease, PPV was 83.4% (95% CI [75.0-90.3%]), and NPV was 74.6% (95% CI [58.2-86.7%]); for discriminating T1-3 from T4 disease, PPV was 94.0% (95% CI [89.4-97.3%]), and NPV was 39.9% (95% CI [24.9-56.6%]); for discriminating N- from N+ disease, PPV was 74.9% (95% CI [69.3-80.0%]), and NPV was 53.9% (95% CI [45.3-62.0%]). For PET/CT, for discriminating N- from N+ disease, PPV was 76.4% (95% CI [67.9-85.1%]), and NPV was 68.2% (95% CI [56.8-78.6%]). Across outcomes, MRI and PET/CT exhibited pooled sensitivity of 55.1-81.4% and pooled specificity of 70.3-88.1%. <b>Conclusion:</b> MRI had strongest predictive performance for T1-2 and T4 disease. MRI and PET/CT had otherwise limited predictive values, sensitivity, and specificity for evaluated outcomes related T and N staging. <b>Clinical Impact:</b> MRI and FDG PET/CT had overall limited utility for preoperative locoregional staging in colon cancer.</p>","PeriodicalId":55529,"journal":{"name":"American Journal of Roentgenology","volume":null,"pages":null},"PeriodicalIF":4.7,"publicationDate":"2024-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142127464","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}