首页 > 最新文献

American Journal of Roentgenology最新文献

英文 中文
Modified O-RADS Ultrasound Classification Using Qualitative Contrast-Enhanced Ultrasound Score for Borderline and Malignant Adnexal Lesions: An External Testing Study. 使用定性对比增强超声评分对边缘性和恶性附件病变进行改进的O-RADS超声分类:一项外部测试研究。
IF 6.1 2区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2026-02-04 DOI: 10.2214/AJR.25.34326
Qingzi Chen, Ju Huang, Zhe Chen, Qiulin Wu, Liangli Hong, Shigao Chen, Shaoqi Chen
{"title":"Modified O-RADS Ultrasound Classification Using Qualitative Contrast-Enhanced Ultrasound Score for Borderline and Malignant Adnexal Lesions: An External Testing Study.","authors":"Qingzi Chen, Ju Huang, Zhe Chen, Qiulin Wu, Liangli Hong, Shigao Chen, Shaoqi Chen","doi":"10.2214/AJR.25.34326","DOIUrl":"https://doi.org/10.2214/AJR.25.34326","url":null,"abstract":"","PeriodicalId":55529,"journal":{"name":"American Journal of Roentgenology","volume":" ","pages":""},"PeriodicalIF":6.1,"publicationDate":"2026-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146121191","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}
引用次数: 0
Contrast-Enhanced Ultrasound for Hepatocellular Carcinoma Diagnosis-AJR Expert Panel Narrative Review. 对比增强超声在肝癌诊断中的应用——ajr专家小组述评。
IF 6.1 2区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2026-02-04 DOI: 10.2214/AJR.25.32813
Lingling Li, Marco Dioguardi Burgio, David T Fetzer, Giovanna Ferraioli, Andrej Lyshchik, Maria Franca Meloni, Vasileios Rafailidis, Paul S Sidhu, Valerie Vilgrain, Stephanie R Wilson, Jianhua Zhou

Despite growing clinical use of contrast-enhanced ultrasound (CEUS), inconsistency remains in the modality's role in clinical pathways for hepatocellular carcinoma (HCC) diagnosis and management. This AJR Expert Panel Narrative Review provides practical insights on the use of CEUS for the diagnosis of HCC across populations, including individuals at high risk for HCC, individuals with metabolic dysfunction-associated steatotic liver disease, and individuals not at high risk for HCC. Considerations addressed with respect to high-risk patients include CEUS diagnostic criteria for HCC, use of CEUS for differentiating HCC from non-HCC malignancy, use of CEUS for small (≤ 2 cm) lesions, use of CEUS for characterizing occult lesions on B-mode ultrasound, and use of CEUS for indeterminate lesions on CT or MRI. Representative literature addressing the use of CEUS for HCC diagnosis and gaps in knowledge requiring further investigation are highlighted. Throughout these discussions, the article distinguishes two broad types of ultrasound contrast agents used for liver imaging: pure blood-pool agents and a combined blood-pool and Kupffer-cell agent. Additional topics include the use of CEUS for treatment response assessment after nonradiation therapies and implications of artificial intelligence technologies. The article concludes with a series of consensus statements from the author panel.

尽管造影增强超声(CEUS)的临床应用越来越多,但在肝细胞癌(HCC)诊断和治疗的临床途径中,这种方式的作用仍然不一致。这篇AJR专家小组叙述性综述提供了在人群中使用超声造影诊断HCC的实际见解,包括HCC高危人群、代谢功能障碍相关脂肪变性肝病患者和其余非HCC高危人群。对于高危患者,需要考虑的因素包括:超声造影诊断HCC的标准,超声造影用于区分HCC与非HCC恶性肿瘤,超声造影用于小(≤2厘米)病变,超声造影用于b超上隐匿性病变的特征,超声造影用于CT或MRI上不确定病变。强调了使用超声造影诊断HCC的代表性文献以及需要进一步调查的知识差距。在这些讨论中,本文区分了两种用于肝脏成像的超声造影剂:纯血池造影剂和血池和库普弗细胞联合造影剂。其他主题包括使用超声造影评估非放射治疗后的治疗反应和人工智能技术的影响。文章以作者小组的一系列共识声明结束。
{"title":"Contrast-Enhanced Ultrasound for Hepatocellular Carcinoma Diagnosis-<i>AJR</i> Expert Panel Narrative Review.","authors":"Lingling Li, Marco Dioguardi Burgio, David T Fetzer, Giovanna Ferraioli, Andrej Lyshchik, Maria Franca Meloni, Vasileios Rafailidis, Paul S Sidhu, Valerie Vilgrain, Stephanie R Wilson, Jianhua Zhou","doi":"10.2214/AJR.25.32813","DOIUrl":"10.2214/AJR.25.32813","url":null,"abstract":"<p><p>Despite growing clinical use of contrast-enhanced ultrasound (CEUS), inconsistency remains in the modality's role in clinical pathways for hepatocellular carcinoma (HCC) diagnosis and management. This <i>AJR</i> Expert Panel Narrative Review provides practical insights on the use of CEUS for the diagnosis of HCC across populations, including individuals at high risk for HCC, individuals with metabolic dysfunction-associated steatotic liver disease, and individuals not at high risk for HCC. Considerations addressed with respect to high-risk patients include CEUS diagnostic criteria for HCC, use of CEUS for differentiating HCC from non-HCC malignancy, use of CEUS for small (≤ 2 cm) lesions, use of CEUS for characterizing occult lesions on B-mode ultrasound, and use of CEUS for indeterminate lesions on CT or MRI. Representative literature addressing the use of CEUS for HCC diagnosis and gaps in knowledge requiring further investigation are highlighted. Throughout these discussions, the article distinguishes two broad types of ultrasound contrast agents used for liver imaging: pure blood-pool agents and a combined blood-pool and Kupffer-cell agent. Additional topics include the use of CEUS for treatment response assessment after nonradiation therapies and implications of artificial intelligence technologies. The article concludes with a series of consensus statements from the author panel.</p>","PeriodicalId":55529,"journal":{"name":"American Journal of Roentgenology","volume":" ","pages":"1-12"},"PeriodicalIF":6.1,"publicationDate":"2026-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144164012","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}
引用次数: 0
Translating Large Language Model Performance to Clinical Practice. 将大型语言模型的表现转化为临床实践。
IF 6.1 2区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2026-02-04 DOI: 10.2214/AJR.25.34378
Isabella Andrea Bolaños Bermúdez, Nicolás Guerrero Acosta
{"title":"Translating Large Language Model Performance to Clinical Practice.","authors":"Isabella Andrea Bolaños Bermúdez, Nicolás Guerrero Acosta","doi":"10.2214/AJR.25.34378","DOIUrl":"https://doi.org/10.2214/AJR.25.34378","url":null,"abstract":"","PeriodicalId":55529,"journal":{"name":"American Journal of Roentgenology","volume":" ","pages":""},"PeriodicalIF":6.1,"publicationDate":"2026-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146121161","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}
引用次数: 0
Artificial Intelligence Outperforms Radiologists in Pancreatic Cancer Detection. 人工智能在胰腺癌检测方面优于放射科医生。
IF 6.1 2区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2026-02-04 DOI: 10.2214/AJR.26.34569
Atif Zaheer
{"title":"Artificial Intelligence Outperforms Radiologists in Pancreatic Cancer Detection.","authors":"Atif Zaheer","doi":"10.2214/AJR.26.34569","DOIUrl":"https://doi.org/10.2214/AJR.26.34569","url":null,"abstract":"","PeriodicalId":55529,"journal":{"name":"American Journal of Roentgenology","volume":" ","pages":""},"PeriodicalIF":6.1,"publicationDate":"2026-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146121238","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}
引用次数: 0
CT Radiation Dose Reduction With Preserved Diagnostic Performance: How Far Have We Come Over 25 Years? CT辐射剂量降低与保留诊断性能:25年来我们走了多远?
IF 6.1 2区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2026-02-04 DOI: 10.2214/AJR.25.34450
Cynthia H McCollough, Lifeng Yu

Concerns about the risk of radiation from CT have driven a spectrum of major advances in radiation dose reduction technology since the 2000s, including added beam filtration, dynamic z-axis collimation, automatic tube current modulation and tube potential selection, advanced iterative reconstruction, and deep learning-based reconstructions. The introduction of photon-counting detector CT further improved dose efficiency through electronic noise rejection, optimal photon-energy weighting, and high-resolution data acquisition. This Review summarizes key milestones and technologic innovations that have led to substantial reductions in CT radiation doses and provides examples of the cumulative impact of these advances on CT doses and image quality for routine examinations in various anatomic sites. This article also highlights the importance of an objective task-based image quality assessment to ensure that diagnostic performance is not compromised as dose is reduced, particularly for emerging deep-learning-based reconstruction and postprocessing noise reduction methods.

自2000年代以来,对CT辐射风险的担忧推动了辐射剂量降低技术的一系列重大进展,包括增加光束过滤、动态z轴准直、自动管电流调制和管电位选择、先进的迭代重建和基于深度学习的重建。光子计数检测器CT的引入通过电子噪声抑制、最佳光子能量加权和高分辨率数据采集进一步提高了剂量效率。本综述总结了导致CT辐射剂量大幅减少的关键里程碑和技术创新,并举例说明了这些进步对不同解剖部位常规检查的CT剂量和图像质量的累积影响。本文还强调了客观的基于任务的图像质量评估的重要性,以确保诊断性能不会随着剂量的减少而受到影响,特别是对于新兴的基于深度学习的重建和后处理降噪方法。
{"title":"CT Radiation Dose Reduction With Preserved Diagnostic Performance: How Far Have We Come Over 25 Years?","authors":"Cynthia H McCollough, Lifeng Yu","doi":"10.2214/AJR.25.34450","DOIUrl":"https://doi.org/10.2214/AJR.25.34450","url":null,"abstract":"<p><p>Concerns about the risk of radiation from CT have driven a spectrum of major advances in radiation dose reduction technology since the 2000s, including added beam filtration, dynamic z-axis collimation, automatic tube current modulation and tube potential selection, advanced iterative reconstruction, and deep learning-based reconstructions. The introduction of photon-counting detector CT further improved dose efficiency through electronic noise rejection, optimal photon-energy weighting, and high-resolution data acquisition. This Review summarizes key milestones and technologic innovations that have led to substantial reductions in CT radiation doses and provides examples of the cumulative impact of these advances on CT doses and image quality for routine examinations in various anatomic sites. This article also highlights the importance of an objective task-based image quality assessment to ensure that diagnostic performance is not compromised as dose is reduced, particularly for emerging deep-learning-based reconstruction and postprocessing noise reduction methods.</p>","PeriodicalId":55529,"journal":{"name":"American Journal of Roentgenology","volume":" ","pages":""},"PeriodicalIF":6.1,"publicationDate":"2026-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146121170","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}
引用次数: 0
The Faculty Handbook: Path to Growth-From Training to Practice, an AJR Podcast Series (Episode 8). 教师手册:成长之路-从培训到实践,AJR播客系列(第8集)。
IF 6.1 2区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2026-02-04 DOI: 10.2214/AJR.26.34619
Surbhi Raichandani, Ashley H Aiken
{"title":"The Faculty Handbook: Path to Growth-From Training to Practice, an <i>AJR</i> Podcast Series (Episode 8).","authors":"Surbhi Raichandani, Ashley H Aiken","doi":"10.2214/AJR.26.34619","DOIUrl":"https://doi.org/10.2214/AJR.26.34619","url":null,"abstract":"","PeriodicalId":55529,"journal":{"name":"American Journal of Roentgenology","volume":" ","pages":""},"PeriodicalIF":6.1,"publicationDate":"2026-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146121183","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}
引用次数: 0
Reply to "Translating Large Language Model Performance to Clinical Practice". 回复“将大型语言模型的表现转化为临床实践”。
IF 6.1 2区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2026-02-04 DOI: 10.2214/AJR.26.34638
Alexander Isaak, Annemarie Proff, Julian A Luetkens, Sebastian Nowak
{"title":"Reply to \"Translating Large Language Model Performance to Clinical Practice\".","authors":"Alexander Isaak, Annemarie Proff, Julian A Luetkens, Sebastian Nowak","doi":"10.2214/AJR.26.34638","DOIUrl":"https://doi.org/10.2214/AJR.26.34638","url":null,"abstract":"","PeriodicalId":55529,"journal":{"name":"American Journal of Roentgenology","volume":" ","pages":""},"PeriodicalIF":6.1,"publicationDate":"2026-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146121214","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}
引用次数: 0
Evaluating the Cost-Effectiveness of PSMA PET Should Benefit From Additional Research. 评估PSMA PET的成本效益应该受益于更多的研究。
IF 6.1 2区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2026-01-28 DOI: 10.2214/AJR.25.34445
Vikas Kundra, Eberechukwu Onukwugha
{"title":"Evaluating the Cost-Effectiveness of PSMA PET Should Benefit From Additional Research.","authors":"Vikas Kundra, Eberechukwu Onukwugha","doi":"10.2214/AJR.25.34445","DOIUrl":"https://doi.org/10.2214/AJR.25.34445","url":null,"abstract":"","PeriodicalId":55529,"journal":{"name":"American Journal of Roentgenology","volume":" ","pages":""},"PeriodicalIF":6.1,"publicationDate":"2026-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146068650","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}
引用次数: 0
TMIST Lead-In Randomized Trial of Breast Tomosynthesis Versus Digital Mammography: Results in Women Ineligible for the Full TMIST Trial Due to Age (40-44 or ≥ 74 Years Old). TMIST乳腺断层合成与数字乳房x线照相术的随机试验:由于年龄(40-44岁或≥74岁)而不适合参加TMIST试验的女性的结果。
IF 6.1 2区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2026-01-28 DOI: 10.2214/AJR.25.34244
Jean M Seely, Martin J Yaffe, Linda Warren, Paula B Gordon, Roberta A Jong, Constantine Gatsonis, Na An, Jean Cormack, Etta D Pisano

Background: Digital breast tomosynthesis (DBT) has shown improved screening performance compared to digital mammography (DM), although the modality is less well-studied in women 40-44 or ≥75 years old. Objective: To compare screening performance between DM and DBT in Tomosynthesis Mammographic Imaging Screening Trial (TMIST) Lead-in trial (A4705) participants who were ineligible for transition to the full TMIST trial (EA1151) due to age at trial entry (40-44 or ≥75 years old). Methods: A4705, a prospective trial recruiting women ≥40 years old at four Canadian sites from October 2014 to July /2017, randomized participants to undergo multiple screening rounds by DM or DBT. Final EA1151 eligibility incorporated a narrower age range of 45-74 years. This unplanned analysis included a subset of A4705 participants ineligible for transition to EA1151 due to age at entry (40-44 or ≥75 years old). Examination-level screening performance metrics were calculated. The reference standard was determined by 1-year follow-up after participants' last screening round. Results: The study included 271 A4705 participants (mean age, 54±17 years) age-ineligible for EA1151; 181 were 40-44 years old (76 and 105 randomized to DM and DBT, respectively), and 90 were ≥75 years old (46 and 44 randomized to DM and DBT, respectively). Participants in the DM and DBT arms underwent 389 and 482 screening examinations, respectively (mean, 3.2 screening rounds per participant in each arm). Eight cancers were diagnosed (7 screen-detected [1 by DM; 6 by DBT]; one interval cancer in DBT arm). In participants 40-44 years old, DM, compared with DBT, exhibited recall rate of 13.2% versus 12.0%, cancer detection rate (CDR) per 1000 of 0.0 versus 14.6, PPV1 of 0.0% versus 12.2%, and PPV3 of 0.0% versus 83.3%, respectively. In participants ≥75 years old, DM, compared with DBT, exhibited recall rate of 10.1% versus 3.6%, CDR per 1000 of 7.2 versus 7.1, PPV1 of 7.1% versus 20.0%, and PPV3 of 50.0% in both arms. Conclusion: Screening performance metrics were overall more favorable for DBT than for DM in women 40-44 years or ≥75 years old. Clinical Impact: DBT may mitigate limitations of DM and improve screening performance in the evaluated age groups.

背景:与数字乳房x线摄影(DM)相比,数字乳腺断层合成(DBT)显示出更好的筛查效果,尽管这种方式在40-44岁或≥75岁女性中的研究较少。目的:比较DM和DBT在乳腺断层合成成像筛查试验(TMIST)引入试验(A4705)中由于试验入组时年龄(40-44岁或≥75岁)而无法过渡到完整TMIST试验(EA1151)的参与者的筛查表现。方法:A4705是一项前瞻性试验,于2014年10月至2017年7月在加拿大的4个地点招募≥40岁的女性,随机参与者通过DM或DBT进行多轮筛查。最终的EA1151资格纳入了45-74岁的较窄年龄范围。这项计划外分析包括了一组由于入组时年龄(40-44岁或≥75岁)而不适合转入EA1151的A4705参与者。计算了考试级筛选绩效指标。参考标准在参与者最后一轮筛选后的1年随访中确定。结果:该研究纳入271 A4705名参与者(平均年龄54±17岁),年龄不符合EA1151;40 ~ 44岁181例(分别分为DM和DBT组76例和105例),≥75岁90例(分别分为DM和DBT组46例和44例)。DM组和DBT组的参与者分别进行了389次和482次筛查检查(平均每组参与者3.2轮筛查)。诊断出8例癌症(7例筛查发现[1例DM; 6例DBT]; 1例DBT组间隔期癌症)。在40-44岁的参与者中,与DBT相比,DM的回忆率分别为13.2%和12.0%,每1000人的癌症检出率(CDR)为0.0和14.6,PPV1为0.0%和12.2%,PPV3为0.0%和83.3%。在≥75岁的受试者中,与DBT相比,DM的回忆率为10.1%比3.6%,CDR / 1000为7.2比7.1,PPV1为7.1%比20.0%,PPV3为50.0%。结论:在40-44岁或≥75岁的女性中,DBT的筛查表现指标总体上比DM更有利。临床影响:DBT可能减轻糖尿病的局限性,并改善评估年龄组的筛查表现。
{"title":"TMIST Lead-In Randomized Trial of Breast Tomosynthesis Versus Digital Mammography: Results in Women Ineligible for the Full TMIST Trial Due to Age (40-44 or ≥ 74 Years Old).","authors":"Jean M Seely, Martin J Yaffe, Linda Warren, Paula B Gordon, Roberta A Jong, Constantine Gatsonis, Na An, Jean Cormack, Etta D Pisano","doi":"10.2214/AJR.25.34244","DOIUrl":"https://doi.org/10.2214/AJR.25.34244","url":null,"abstract":"<p><p><b>Background:</b> Digital breast tomosynthesis (DBT) has shown improved screening performance compared to digital mammography (DM), although the modality is less well-studied in women 40-44 or ≥75 years old. <b>Objective:</b> To compare screening performance between DM and DBT in Tomosynthesis Mammographic Imaging Screening Trial (TMIST) Lead-in trial (A4705) participants who were ineligible for transition to the full TMIST trial (EA1151) due to age at trial entry (40-44 or ≥75 years old). <b>Methods:</b> A4705, a prospective trial recruiting women ≥40 years old at four Canadian sites from October 2014 to July /2017, randomized participants to undergo multiple screening rounds by DM or DBT. Final EA1151 eligibility incorporated a narrower age range of 45-74 years. This unplanned analysis included a subset of A4705 participants ineligible for transition to EA1151 due to age at entry (40-44 or ≥75 years old). Examination-level screening performance metrics were calculated. The reference standard was determined by 1-year follow-up after participants' last screening round. <b>Results:</b> The study included 271 A4705 participants (mean age, 54±17 years) age-ineligible for EA1151; 181 were 40-44 years old (76 and 105 randomized to DM and DBT, respectively), and 90 were ≥75 years old (46 and 44 randomized to DM and DBT, respectively). Participants in the DM and DBT arms underwent 389 and 482 screening examinations, respectively (mean, 3.2 screening rounds per participant in each arm). Eight cancers were diagnosed (7 screen-detected [1 by DM; 6 by DBT]; one interval cancer in DBT arm). In participants 40-44 years old, DM, compared with DBT, exhibited recall rate of 13.2% versus 12.0%, cancer detection rate (CDR) per 1000 of 0.0 versus 14.6, PPV1 of 0.0% versus 12.2%, and PPV3 of 0.0% versus 83.3%, respectively. In participants ≥75 years old, DM, compared with DBT, exhibited recall rate of 10.1% versus 3.6%, CDR per 1000 of 7.2 versus 7.1, PPV1 of 7.1% versus 20.0%, and PPV3 of 50.0% in both arms. <b>Conclusion:</b> Screening performance metrics were overall more favorable for DBT than for DM in women 40-44 years or ≥75 years old. <b>Clinical Impact:</b> DBT may mitigate limitations of DM and improve screening performance in the evaluated age groups.</p>","PeriodicalId":55529,"journal":{"name":"American Journal of Roentgenology","volume":" ","pages":""},"PeriodicalIF":6.1,"publicationDate":"2026-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146068752","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}
引用次数: 0
Parathyroid Localization: Counterpoint-Targeted Arterial-Phase CT Offers Equivalent Diagnostic Performance With Reduced Dose. 甲状旁腺定位:相对点靶向动脉期CT在减少剂量的情况下提供相同的诊断效果。
IF 6.1 2区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2026-01-28 DOI: 10.2214/AJR.26.34525
Prashant Raghavan, Lakir Patel
{"title":"Parathyroid Localization: Counterpoint-Targeted Arterial-Phase CT Offers Equivalent Diagnostic Performance With Reduced Dose.","authors":"Prashant Raghavan, Lakir Patel","doi":"10.2214/AJR.26.34525","DOIUrl":"https://doi.org/10.2214/AJR.26.34525","url":null,"abstract":"","PeriodicalId":55529,"journal":{"name":"American Journal of Roentgenology","volume":" ","pages":""},"PeriodicalIF":6.1,"publicationDate":"2026-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146068817","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}
引用次数: 0
期刊
American Journal of Roentgenology
全部 Acc. Chem. Res. ACS Applied Bio Materials ACS Appl. Electron. Mater. ACS Appl. Energy Mater. ACS Appl. Mater. Interfaces ACS Appl. Nano Mater. ACS Appl. Polym. Mater. ACS BIOMATER-SCI ENG ACS Catal. ACS Cent. Sci. ACS Chem. Biol. ACS Chemical Health & Safety ACS Chem. Neurosci. ACS Comb. Sci. ACS Earth Space Chem. ACS Energy Lett. ACS Infect. Dis. ACS Macro Lett. ACS Mater. Lett. ACS Med. Chem. Lett. ACS Nano ACS Omega ACS Photonics ACS Sens. ACS Sustainable Chem. Eng. ACS Synth. Biol. Anal. Chem. BIOCHEMISTRY-US Bioconjugate Chem. BIOMACROMOLECULES Chem. Res. Toxicol. Chem. Rev. Chem. Mater. CRYST GROWTH DES ENERG FUEL Environ. Sci. Technol. Environ. Sci. Technol. Lett. Eur. J. Inorg. Chem. IND ENG CHEM RES Inorg. Chem. J. Agric. Food. Chem. J. Chem. Eng. Data J. Chem. Educ. J. Chem. Inf. Model. J. Chem. Theory Comput. J. Med. Chem. J. Nat. Prod. J PROTEOME RES J. Am. Chem. Soc. LANGMUIR MACROMOLECULES Mol. Pharmaceutics Nano Lett. Org. Lett. ORG PROCESS RES DEV ORGANOMETALLICS J. Org. Chem. J. Phys. Chem. J. Phys. Chem. A J. Phys. Chem. B J. Phys. Chem. C J. Phys. Chem. Lett. Analyst Anal. Methods Biomater. Sci. Catal. Sci. Technol. Chem. Commun. Chem. Soc. Rev. CHEM EDUC RES PRACT CRYSTENGCOMM Dalton Trans. Energy Environ. Sci. ENVIRON SCI-NANO ENVIRON SCI-PROC IMP ENVIRON SCI-WAT RES Faraday Discuss. Food Funct. Green Chem. Inorg. Chem. Front. Integr. Biol. J. Anal. At. Spectrom. J. Mater. Chem. A J. Mater. Chem. B J. Mater. Chem. C Lab Chip Mater. Chem. Front. Mater. Horiz. MEDCHEMCOMM Metallomics Mol. Biosyst. Mol. Syst. Des. Eng. Nanoscale Nanoscale Horiz. Nat. Prod. Rep. New J. Chem. Org. Biomol. Chem. Org. Chem. Front. PHOTOCH PHOTOBIO SCI PCCP Polym. Chem.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1