{"title":"Comment on “Diagnostic accuracy and limitations of intravoxel incoherent motion diffusion-weighted imaging for differentiating breast tumors: A systematic review and meta-analysis”","authors":"Amit Kumar Gupta , Prashant Ramdas Kokiwar , Janvi Patel , Archana Dhyani","doi":"10.1016/j.clinimag.2026.110740","DOIUrl":"10.1016/j.clinimag.2026.110740","url":null,"abstract":"","PeriodicalId":50680,"journal":{"name":"Clinical Imaging","volume":"132 ","pages":"Article 110740"},"PeriodicalIF":1.5,"publicationDate":"2026-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146147491","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-09DOI: 10.1016/j.clinimag.2026.110741
Yihan Hu
{"title":"Comment on “Classifying the clinical significance of common breast pain symptoms using a large language model, ChatGPT (GPT-4)”","authors":"Yihan Hu","doi":"10.1016/j.clinimag.2026.110741","DOIUrl":"10.1016/j.clinimag.2026.110741","url":null,"abstract":"","PeriodicalId":50680,"journal":{"name":"Clinical Imaging","volume":"132 ","pages":"Article 110741"},"PeriodicalIF":1.5,"publicationDate":"2026-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146147377","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-06DOI: 10.1016/j.clinimag.2026.110744
Young Son , Bio Joo , Mina Park , Sung Jun Ahn , Sungjun Kim , Hong-Seon Lee
Purpose
Traditional methods of vertebral identification have predominantly relied on relative approaches, depending on discernible landmarks. Artificial Intelligence (AI) has emerged as a transformative force in radiology, aiming to augment the workflow of radiologists and the benefit of patients. This study aims to investigate the real-world application of picture archiving and communication system (PACS)-integrated automated spine numbering for the daily interpretation of spinal magnetic resonance imaging (MRI) scans.
Methods
This retrospective study, at a tertiary hospital, analyzed 235 spine MRI cases from November 2023 to January 2024. The study focused on the effect of AI-assisted spine labeling system. We measured reading times from PACS log records, leading to the exclusion of 32 cases due to time outliers. Thus, 109 (53.7%) implemented AI, while 94 (46.3%) did not. Subgroup analysis evaluated differences based on the type of radiologist (specialist vs. resident), whether the examination was an initial or follow-up, and the anatomic region (lumbar vs. non-lumbar).
Results
Integrating an AI-assisted spine labeling algorithm into the PACS significantly reduced reading times for residents (p < 0.05) but not for specialists. AI-implemented cases demonstrated high accuracy, with only 2.8% discordance. Despite AI implementation, overall reading times did not differ significantly (p = 0.0858).
Conclusion
AI has the potential to enhance efficiency, particularly benefiting trainees, by providing a consistent reference for the spinal anatomy. Future studies should explore the effect of AI on clinical outcomes and patient care.
{"title":"Real-world use of PACS-integrated automated spine numbering in MRI","authors":"Young Son , Bio Joo , Mina Park , Sung Jun Ahn , Sungjun Kim , Hong-Seon Lee","doi":"10.1016/j.clinimag.2026.110744","DOIUrl":"10.1016/j.clinimag.2026.110744","url":null,"abstract":"<div><h3>Purpose</h3><div>Traditional methods of vertebral identification have predominantly relied on relative approaches, depending on discernible landmarks. Artificial Intelligence (AI) has emerged as a transformative force in radiology, aiming to augment the workflow of radiologists and the benefit of patients. This study aims to investigate the real-world application of picture archiving and communication system (PACS)-integrated automated spine numbering for the daily interpretation of spinal magnetic resonance imaging (MRI) scans.</div></div><div><h3>Methods</h3><div>This retrospective study, at a tertiary hospital, analyzed 235 spine MRI cases from November 2023 to January 2024. The study focused on the effect of AI-assisted spine labeling system. We measured reading times from PACS log records, leading to the exclusion of 32 cases due to time outliers. Thus, 109 (53.7%) implemented AI, while 94 (46.3%) did not. Subgroup analysis evaluated differences based on the type of radiologist (specialist vs. resident), whether the examination was an initial or follow-up, and the anatomic region (lumbar vs. non-lumbar).</div></div><div><h3>Results</h3><div>Integrating an AI-assisted spine labeling algorithm into the PACS significantly reduced reading times for residents (<em>p</em> < 0.05) but not for specialists. AI-implemented cases demonstrated high accuracy, with only 2.8% discordance. Despite AI implementation, overall reading times did not differ significantly (<em>p</em> = 0.0858).</div></div><div><h3>Conclusion</h3><div>AI has the potential to enhance efficiency, particularly benefiting trainees, by providing a consistent reference for the spinal anatomy. Future studies should explore the effect of AI on clinical outcomes and patient care.</div></div>","PeriodicalId":50680,"journal":{"name":"Clinical Imaging","volume":"132 ","pages":"Article 110744"},"PeriodicalIF":1.5,"publicationDate":"2026-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146147492","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-06DOI: 10.1016/j.clinimag.2026.110745
Jonathan L. Mezrich
As use of artificial intelligence algorithms in clinical practice becomes more commonplace, radiologists may become overconfident in the abilities of these applications or succumb to automation bias. However misplaced confidence in artificial intelligence may have legal implications. This article makes a number of recommendations for radiologists to help temper biases and limit liability as algorithms become more prevalent in practice.
{"title":"Automation bias and overconfidence in artificial intelligence and associated legal implications","authors":"Jonathan L. Mezrich","doi":"10.1016/j.clinimag.2026.110745","DOIUrl":"10.1016/j.clinimag.2026.110745","url":null,"abstract":"<div><div>As use of artificial intelligence algorithms in clinical practice becomes more commonplace, radiologists may become overconfident in the abilities of these applications or succumb to automation bias. However misplaced confidence in artificial intelligence may have legal implications. This article makes a number of recommendations for radiologists to help temper biases and limit liability as algorithms become more prevalent in practice.</div></div>","PeriodicalId":50680,"journal":{"name":"Clinical Imaging","volume":"132 ","pages":"Article 110745"},"PeriodicalIF":1.5,"publicationDate":"2026-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146147490","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-03DOI: 10.1016/j.clinimag.2026.110743
Victor Arthur Ohannesian, Diego Rajchenberg, Isabelle R Menezes, Mariana Lee Han, Karina L A Pereira, Wilson C N Castro, Ariana F Fagundes, Ricardo F O Suruagy Motta, Miguel José Francisco Neto, Cesar Augusto P Braga, Marcelo R C Silva, Marcos Roberto G Queiroz, Solange Amorim Nogueira
Background: Primary aldosteronism is a leading cause of secondary hypertension and is associated with increased cardiovascular risk. Accurate localization of aldosterone-producing lesions is essential to guide curative treatment. Although adrenal venous sampling (AVS) remains the gold standard for subtyping, it is invasive and not widely available. Recent advances in molecular imaging, including 68Ga-Pentixafor PET/CT targeting CXCR4, have shown potential for non-invasive localization of functional adrenal lesions.
Purpose: To assess the pooled diagnostic accuracy of 68Ga-Pentixafor PET/CT for detecting aldosterone-producing lesions.
Methods: A systematic review and meta-analysis were conducted following PRISMA-DTA guidelines. Databases including PubMed, Embase, Scopus, Web of Science, and CENTRAL were searched through January 2025. Eligible studies included adult patients with primary aldosteronism who underwent 68Ga-Pentixafor PET/CT, with reference standards including AVS, histopathology, or immunohistochemistry. Diagnostic accuracy outcomes were pooled using a bivariate random-effects model.
Results: Eight studies comprising 564 patients were included. Agreement between reviewers during full-text assessment was almost perfect (Cohen's κ = 0.93). Pooled sensitivity was 83% (95% CI: 75-89), specificity 94% (95% CI: 83-98), AUC 0.91 (95% CI: 0.88-0.93), LR+ 14.6 (95% CI: 5.3-40.2), and LR- 0.18 (95% CI: 0.12-0.27). Diagnostic performance remained stable across subgroups, with no significant variation according to tracer dose, SUVmax, acquisition time, study design, or CXCR4/CYP11B2 expression. No evidence of publication bias was detected (Deeks' test, p = 0.93).
Conclusions: 68Ga-Pentixafor PET/CT demonstrates high diagnostic accuracy for identifying aldosterone-producing lesions and may serve as a reliable, non-invasive alternative to AVS in selected patients.
{"title":"Pooled diagnostic accuracy of <sup>68</sup>Ga-pentixafor PET/CT for aldosterone-producing lesions in primary aldosteronism.","authors":"Victor Arthur Ohannesian, Diego Rajchenberg, Isabelle R Menezes, Mariana Lee Han, Karina L A Pereira, Wilson C N Castro, Ariana F Fagundes, Ricardo F O Suruagy Motta, Miguel José Francisco Neto, Cesar Augusto P Braga, Marcelo R C Silva, Marcos Roberto G Queiroz, Solange Amorim Nogueira","doi":"10.1016/j.clinimag.2026.110743","DOIUrl":"https://doi.org/10.1016/j.clinimag.2026.110743","url":null,"abstract":"<p><strong>Background: </strong>Primary aldosteronism is a leading cause of secondary hypertension and is associated with increased cardiovascular risk. Accurate localization of aldosterone-producing lesions is essential to guide curative treatment. Although adrenal venous sampling (AVS) remains the gold standard for subtyping, it is invasive and not widely available. Recent advances in molecular imaging, including <sup>68</sup>Ga-Pentixafor PET/CT targeting CXCR4, have shown potential for non-invasive localization of functional adrenal lesions.</p><p><strong>Purpose: </strong>To assess the pooled diagnostic accuracy of <sup>68</sup>Ga-Pentixafor PET/CT for detecting aldosterone-producing lesions.</p><p><strong>Methods: </strong>A systematic review and meta-analysis were conducted following PRISMA-DTA guidelines. Databases including PubMed, Embase, Scopus, Web of Science, and CENTRAL were searched through January 2025. Eligible studies included adult patients with primary aldosteronism who underwent <sup>68</sup>Ga-Pentixafor PET/CT, with reference standards including AVS, histopathology, or immunohistochemistry. Diagnostic accuracy outcomes were pooled using a bivariate random-effects model.</p><p><strong>Results: </strong>Eight studies comprising 564 patients were included. Agreement between reviewers during full-text assessment was almost perfect (Cohen's κ = 0.93). Pooled sensitivity was 83% (95% CI: 75-89), specificity 94% (95% CI: 83-98), AUC 0.91 (95% CI: 0.88-0.93), LR<sup>+</sup> 14.6 (95% CI: 5.3-40.2), and LR<sup>-</sup> 0.18 (95% CI: 0.12-0.27). Diagnostic performance remained stable across subgroups, with no significant variation according to tracer dose, SUVmax, acquisition time, study design, or CXCR4/CYP11B2 expression. No evidence of publication bias was detected (Deeks' test, p = 0.93).</p><p><strong>Conclusions: </strong><sup>68</sup>Ga-Pentixafor PET/CT demonstrates high diagnostic accuracy for identifying aldosterone-producing lesions and may serve as a reliable, non-invasive alternative to AVS in selected patients.</p>","PeriodicalId":50680,"journal":{"name":"Clinical Imaging","volume":"131 ","pages":"110743"},"PeriodicalIF":1.5,"publicationDate":"2026-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146138077","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-29DOI: 10.1016/j.clinimag.2026.110739
Elliot K. Fishman , Connor W. Smith , Linda C. Chu , Ralph H. Hruban
{"title":"Follow-up of prior CT scans as part of patient care and continuous learning: A call to action","authors":"Elliot K. Fishman , Connor W. Smith , Linda C. Chu , Ralph H. Hruban","doi":"10.1016/j.clinimag.2026.110739","DOIUrl":"10.1016/j.clinimag.2026.110739","url":null,"abstract":"","PeriodicalId":50680,"journal":{"name":"Clinical Imaging","volume":"131 ","pages":"Article 110739"},"PeriodicalIF":1.5,"publicationDate":"2026-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146078216","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-28DOI: 10.1016/j.clinimag.2026.110737
Aaron T Luong, Dominic Bolinas, Allan John R Barcena, Marites P Melancon, Edward Castillo, Gouthami Chintalapani, Bruno C Odisio, Hop S Tran Cao, Yun Shin Chun, Timothy E Newhook, Ching-Wei D Tzeng, Sanjay Gupta, Jean-Nicolas Vauthey, Steven Y Huang
Purpose: To determine whether wash-in (WI) and wash-out (WO) rates of contrast involving the future liver remnant (FLR) based on 2-dimensional venograms following portal vein embolization (PVE) can predict liver hypertrophy.
Methods: This is a single-center, retrospective, observational, cohort study of consecutive patients who underwent PVE from August 2019 to March 2024 during which the post-PVE venogram was obtained for more than 15 s. Enhancement of the FLR on post-PVE venograms was plotted as a function of time. Piecewise linear fits were applied to the datasets to derive WI and WO rates. Rates were compared to degree of hypertrophy (DH) and kinetic growth rate (KGR).
Results: 16 patients who underwent PVE were included in the analysis (RPVE, n = 10; RPVE+4, n = 6). Median standardized FLR (sFLR) prior to PVE increased from 23% (median, range 15-49%) to 34% (median, range 24-54%), P = 0.0008. DH was 11.9% (median, range 2.0-19.9%) and KGR was 2.5% (median, range 0.5-4.7%). WI rates measured 0.0878 (median, range 0.0669-0.1760). WO rates measured 0.0315 (median, range 0.0039-0.0473). WO:WI ratios measured 0.2886 (median, range 0.0538-0.5760). Spearman's rank order correlations were calculated between WO:WI and DH (ρ = 0.6265) as well as WO:WI and KGR (ρ = 0.6529). Multivariate linear regression analysis of WO:WI with DH and KGR yielded P-values of 0.0470 and 0.0980, respectively.
Conclusions: WO:WI ratios of the FLR calculated from 2-dimensional venograms following PVE may correlate with DH, providing immediate post-PVE assessment of the regenerative capacity of the FLR.
目的：探讨基于门静脉栓塞（PVE）后二维静脉曲张造影的洗入（WI）和洗出（WO）率是否能预测肝肥厚。方法：这是一项单中心、回顾性、观察性、队列研究，研究对象为2019年8月至2024年3月连续接受PVE治疗的患者，在此期间，PVE后静脉造影超过15 s。pve后血管图上FLR的增强作为时间的函数绘制。分段线性拟合应用于数据集，以获得WI和WO率。将速率与肥厚度（DH）和动能生长率（KGR）进行比较。结果：16例接受PVE治疗的患者被纳入分析（RPVE, n = 10; RPVE+4, n = 6）。PVE前标准化FLR （sFLR）中位数从23%（中位数，范围15-49%）增加到34%（中位数，范围24-54%），P = 0.0008。DH为11.9%（中位数，范围2.0-19.9%），KGR为2.5%（中位数，范围0.5-4.7%）。WI率测量为0.0878（中位数，范围0.0669-0.1760）。WO率测量为0.0315（中位数，范围0.0039-0.0473）。WO:WI比值测量为0.2886（中位数，范围0.0538-0.5760）。计算WO:WI与DH （ρ = 0.6265）以及WO:WI与KGR （ρ = 0.6529）之间的Spearman秩序相关性。WO:WI与DH和KGR的多元线性回归分析的p值分别为0.0470和0.0980。结论：从PVE后二维血管图计算的FLR的WO:WI比值可能与DH相关，提供了PVE后FLR再生能力的即时评估。
{"title":"Two-dimensional venogram following portal venous embolization as a predictor for future liver remnant hypertrophy.","authors":"Aaron T Luong, Dominic Bolinas, Allan John R Barcena, Marites P Melancon, Edward Castillo, Gouthami Chintalapani, Bruno C Odisio, Hop S Tran Cao, Yun Shin Chun, Timothy E Newhook, Ching-Wei D Tzeng, Sanjay Gupta, Jean-Nicolas Vauthey, Steven Y Huang","doi":"10.1016/j.clinimag.2026.110737","DOIUrl":"https://doi.org/10.1016/j.clinimag.2026.110737","url":null,"abstract":"<p><strong>Purpose: </strong>To determine whether wash-in (WI) and wash-out (WO) rates of contrast involving the future liver remnant (FLR) based on 2-dimensional venograms following portal vein embolization (PVE) can predict liver hypertrophy.</p><p><strong>Methods: </strong>This is a single-center, retrospective, observational, cohort study of consecutive patients who underwent PVE from August 2019 to March 2024 during which the post-PVE venogram was obtained for more than 15 s. Enhancement of the FLR on post-PVE venograms was plotted as a function of time. Piecewise linear fits were applied to the datasets to derive WI and WO rates. Rates were compared to degree of hypertrophy (DH) and kinetic growth rate (KGR).</p><p><strong>Results: </strong>16 patients who underwent PVE were included in the analysis (RPVE, n = 10; RPVE+4, n = 6). Median standardized FLR (sFLR) prior to PVE increased from 23% (median, range 15-49%) to 34% (median, range 24-54%), P = 0.0008. DH was 11.9% (median, range 2.0-19.9%) and KGR was 2.5% (median, range 0.5-4.7%). WI rates measured 0.0878 (median, range 0.0669-0.1760). WO rates measured 0.0315 (median, range 0.0039-0.0473). WO:WI ratios measured 0.2886 (median, range 0.0538-0.5760). Spearman's rank order correlations were calculated between WO:WI and DH (ρ = 0.6265) as well as WO:WI and KGR (ρ = 0.6529). Multivariate linear regression analysis of WO:WI with DH and KGR yielded P-values of 0.0470 and 0.0980, respectively.</p><p><strong>Conclusions: </strong>WO:WI ratios of the FLR calculated from 2-dimensional venograms following PVE may correlate with DH, providing immediate post-PVE assessment of the regenerative capacity of the FLR.</p>","PeriodicalId":50680,"journal":{"name":"Clinical Imaging","volume":"131 ","pages":"110737"},"PeriodicalIF":1.5,"publicationDate":"2026-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146133596","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-28DOI: 10.1016/j.clinimag.2026.110738
Maria Camas , Geraldine McGinty
{"title":"Women at the fifth International Congress of Radiology: A historical account","authors":"Maria Camas , Geraldine McGinty","doi":"10.1016/j.clinimag.2026.110738","DOIUrl":"10.1016/j.clinimag.2026.110738","url":null,"abstract":"","PeriodicalId":50680,"journal":{"name":"Clinical Imaging","volume":"131 ","pages":"Article 110738"},"PeriodicalIF":1.5,"publicationDate":"2026-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146078248","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-27DOI: 10.1016/j.clinimag.2026.110735
Murat Tabar , Seyma Yildiz , Huseyin Toprak , Fatma Celik Yabul , Fazilhan Altintas , Abdusselim Adil Peker , Lamia Seker Can , Alpay Alkan
Purpose
Breast cancer in young women is frequently associated with more aggressive biological behavior. Certain MRI features may provide prognostic information in this population. This study aimed to assess the association between preoperative breast MRI characteristics, histopathological features, and disease-free survival (DFS) in young women with breast cancer.
Methods
In this single-center retrospective study, pathology reports from 2012 to 2023 were reviewed using the institutional archive system. Preoperative MRI scans of 149 women under the age of 40 with breast cancer were evaluated. Univariate and multivariate Cox proportional hazards regression analyses were performed to identify factors associated with DFS. Variables with a p-value <0.10 in the univariate analysis were included in the multivariate model. Kaplan–Meier survival curves were generated, and statistical significance was assessed using the log-rank test.
Results
The median follow-up duration was 63 months (range: 10–142 months), and the median DFS was 55 months (range: 5–139 months). Peritumoral edema (p < 0.001; HR = 3.654; 95% CI: 1.767–7.556) and axillary lymph node positivity (p < 0.001; HR = 5.552; 95% CI: 2.204–13.988) were associated with reduced DFS.
Conclusion
In young women with breast cancer, peritumoral edema on preoperative breast MRI is associated with reduced DFS.
{"title":"Peritumoral edema on preoperative breast MRI is associated with reduced disease-free survival in young women with breast cancer","authors":"Murat Tabar , Seyma Yildiz , Huseyin Toprak , Fatma Celik Yabul , Fazilhan Altintas , Abdusselim Adil Peker , Lamia Seker Can , Alpay Alkan","doi":"10.1016/j.clinimag.2026.110735","DOIUrl":"10.1016/j.clinimag.2026.110735","url":null,"abstract":"<div><h3>Purpose</h3><div>Breast cancer in young women is frequently associated with more aggressive biological behavior. Certain MRI features may provide prognostic information in this population. This study aimed to assess the association between preoperative breast MRI characteristics, histopathological features, and disease-free survival (DFS) in young women with breast cancer.</div></div><div><h3>Methods</h3><div>In this single-center retrospective study, pathology reports from 2012 to 2023 were reviewed using the institutional archive system. Preoperative MRI scans of 149 women under the age of 40 with breast cancer were evaluated. Univariate and multivariate Cox proportional hazards regression analyses were performed to identify factors associated with DFS. Variables with a <em>p</em>-value <0.10 in the univariate analysis were included in the multivariate model. Kaplan–Meier survival curves were generated, and statistical significance was assessed using the log-rank test.</div></div><div><h3>Results</h3><div>The median follow-up duration was 63 months (range: 10–142 months), and the median DFS was 55 months (range: 5–139 months). Peritumoral edema (<em>p</em> < 0.001; HR = 3.654; 95% CI: 1.767–7.556) and axillary lymph node positivity (p < 0.001; HR = 5.552; 95% CI: 2.204–13.988) were associated with reduced DFS.</div></div><div><h3>Conclusion</h3><div>In young women with breast cancer, peritumoral edema on preoperative breast MRI is associated with reduced DFS.</div></div>","PeriodicalId":50680,"journal":{"name":"Clinical Imaging","volume":"131 ","pages":"Article 110735"},"PeriodicalIF":1.5,"publicationDate":"2026-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146078250","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-27DOI: 10.1016/j.clinimag.2026.110736
Kathleen M. Kilroe , Tushar Garg , Shahmir Kamalian
The floating lens sign describes the radiologic appearance of a completely dislocated crystalline (native) lens or intraocular lens (IOL) on computed tomography imaging. It is visualized as a biconvex, hyperdense structure lying freely within the posterior vitreous cavity in the case of a native lens, and as a linear, hyperdense structure in the case of an IOL. This finding reflects complete zonular and/or capsular disruption, most commonly due to blunt ocular trauma, but it may also occur in patients with connective tissue disorders or advanced hypermature cataracts. Recognizing this sign is important for timely diagnosis of lens dislocation, particularly when physical examination is limited by trauma or preexisting ocular pathology. Prompt ophthalmologic evaluation is essential to prevent complications such as lens-induced glaucoma, uveitis, retinal detachment, and permanent visual loss.
{"title":"I saw the floating lens sign","authors":"Kathleen M. Kilroe , Tushar Garg , Shahmir Kamalian","doi":"10.1016/j.clinimag.2026.110736","DOIUrl":"10.1016/j.clinimag.2026.110736","url":null,"abstract":"<div><div>The floating lens sign describes the radiologic appearance of a completely dislocated crystalline (native) lens or intraocular lens (IOL) on computed tomography imaging. It is visualized as a biconvex, hyperdense structure lying freely within the posterior vitreous cavity in the case of a native lens, and as a linear, hyperdense structure in the case of an IOL. This finding reflects complete zonular and/or capsular disruption, most commonly due to blunt ocular trauma, but it may also occur in patients with connective tissue disorders or advanced hypermature cataracts. Recognizing this sign is important for timely diagnosis of lens dislocation, particularly when physical examination is limited by trauma or preexisting ocular pathology. Prompt ophthalmologic evaluation is essential to prevent complications such as lens-induced glaucoma, uveitis, retinal detachment, and permanent visual loss.</div></div>","PeriodicalId":50680,"journal":{"name":"Clinical Imaging","volume":"131 ","pages":"Article 110736"},"PeriodicalIF":1.5,"publicationDate":"2026-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146078247","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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