Radiology最新文献

{"title":"The Evolving Application of Radiation Segmentectomy for the Treatment of Hepatic Malignancy.","authors":"Robert J Lewandowski,Muhamad Serhal,Siddharth A Padia,Edward Kim,Daniel B Brown,Nora E Tabori,Beau B Toskich","doi":"10.1148/radiol.240333","DOIUrl":"https://doi.org/10.1148/radiol.240333","url":null,"abstract":"Transarterial radioembolization (TARE) is an image-guided cancer treatment that delivers microspheres carrying radiation-emitting isotopes, such as yttrium 90 (90Y), to liver malignancy via the hepatic arteries. Historically a palliative therapy for advanced liver cancer, TARE with 90Y has evolved via the segmental delivery of 90Y microspheres with ablative intent, known as radiation segmentectomy. The purpose of radiation segmentectomy is to deliver high radiation doses to targeted hepatic segments, limiting the volume of normal hepatic parenchyma exposed to radiation. Radiation segmentectomy is characterized by high, sustained response rates and high rates of explant necrosis. Currently, radiation segmentectomy is a recognized treatment option for patients with Child-Pugh class A liver function and solitary hepatocellular carcinoma that is 8 cm or smaller in size. It can be applied for hepatic metastases not amenable to resection or thermal ablation. Advancements in patient selection, technique, and radiation dosimetry for radiation segmentectomy have redefined the goal of TARE as a curative therapy. With improved dosimetry and patient selection, it has become more common to observe early responses at posttreatment imaging after radiation segmentectomy, even complete response within the first month of treatment. This article reviews the history of radiation segmentectomy, its expanding applications, and future directions.","PeriodicalId":20896,"journal":{"name":"Radiology","volume":"90 1","pages":"e240333"},"PeriodicalIF":19.7,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144578623","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Quantitative US in Metabolic Dysfunction-Associated Steatotic Liver Disease.","authors":"Manjiri Dighe, Manish Dhyani","doi":"10.1148/radiol.251872","DOIUrl":"https://doi.org/10.1148/radiol.251872","url":null,"abstract":"","PeriodicalId":20896,"journal":{"name":"Radiology","volume":"316 1","pages":"e251872"},"PeriodicalIF":12.1,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144637834","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Metabolic Dysfunction-Associated Steatotic Liver Disease at Quantitative US: International Prospective Study.","authors":"Tong-Yi Huang, Zhi-Yan Li, Jie Tian, Xiao-Juan Xie, Jeong Min Lee, Xin-Ping Ren, Xiao-Yan Xie","doi":"10.1148/radiol.242564","DOIUrl":"https://doi.org/10.1148/radiol.242564","url":null,"abstract":"<p><p>Background Quantitative US is promising in assessing metabolic dysfunction-associated steatotic liver disease (MASLD), but prospective multicenter studies are lacking. Purpose To evaluate the diagnostic performance of quantitative US in assessing MASLD and metabolic dysfunction-associated steatohepatitis (MASH). Materials and Methods This prospective study included participants with MASLD from tertiary hospitals in China and Korea, undergoing multiparametric US from August 2021 to December 2023. Diagnostic performance of tissue attenuation imaging (TAI), tissue scatter-distribution imaging (TSI), and two-dimensional shear-wave elastography (SWE) parameters for assessment of MASLD and MASH was evaluated using area under the receiver operating characteristic curve (AUC) analysis, with histopathologic analysis as a reference. Univariable and multivariable analyses identified clinical factors associated with each US parameter. Results A total of 114 participants (median age, 40 years; IQR, 31-50 years; 67 female participants) were evaluated, 76 participants (67%) with MASH and 39 participants (34%) with high-risk MASH (fibrosis score ≥F2). Multivariable analysis indicated TAI and TSI were independently associated with steatosis and SWE was independently associated with fibrosis (all <i>P</i> < .001). TAI and TSI showed excellent performance for assessing steatosis grades S1 or higher, S2 or higher, and S3 (AUCs for TAI: 0.90, 0.93, and 0.78, respectively; AUCs for TSI, 0.94, 0.89, and 0.80, respectively), with TSI demonstrating good performance for inflammation grade I1 or more (AUC, 0.84; 95% CI: 0.75, 0.92; sensitivity, 79%; specificity, 79%). SWE exhibited excellent performance for staging fibrosis scores of F1 or higher, F2 or higher, F3 or higher, and F4 (AUCs: 0.81, 0.96, 0.89, and 0.97, respectively; sensitivities: 75%, 90%, 87%, and 100%, respectively; specificities: 80%, 93%, 83%, and 96%, respectively). The combined TSI and SWE model showed diagnostic advantages for MASH (AUC, 0.92; 95% CI: 0.85, 0.98) and high-risk MASH (AUC, 0.82; 95% CI: 0.74, 0.90) compared with TSI (<i>P</i> = .72 for MASH; <i>P</i> = .002 for high-risk MASH) and SWE (<i>P</i> < .001 for MASH; <i>P</i> = .31 for high-risk MASH). Conclusion TAI, TSI, and SWE helped provide accurate assessment of MASLD, and combining TSI and SWE showed good discrimination for predicting MASH and high-risk MASH. ClinicalTrials.gov Identifier: NCT04985188 © RSNA, 2025 <i>Supplemental material is available for this article.</i> See also the editorial by Dighe and Dhyani in this issue.</p>","PeriodicalId":20896,"journal":{"name":"Radiology","volume":"316 1","pages":"e242564"},"PeriodicalIF":12.1,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144637833","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparing Multi-<i>b-</i>Value Diffusion MRI Models for Predicting Pathologic Complete Response to Neoadjuvant Chemotherapy in Breast Cancer.","authors":"Xueqin Gong, Xiaoxia Wang, Lu Wang, Xiangfei Zeng, Sun Tang, Yue Cheng, Tao Yu, Yao Huang, Ying Cao, Huifang Chen, Fujie Jiang, Shuling Liu, Lan Li, Ting Yin, Jiuquan Zhang","doi":"10.1148/radiol.242969","DOIUrl":"https://doi.org/10.1148/radiol.242969","url":null,"abstract":"<p><p>Background Multi-<i>b-</i>value diffusion MRI models have been used to predict pathologic complete response (pCR) to neoadjuvant chemotherapy (NAC) for breast cancer. However, there is a lack of longitudinal comparative research. Purpose To compare the performance of various diffusion MRI-derived longitudinal parameters during NAC for prediction of pCR in breast cancer. Materials and Methods This prospective study included consecutive women with breast cancer enrolled between February 2021 and June 2023 and treated with six or eight cycles of NAC. Each woman underwent intravoxel incoherent motion (IVIM) imaging and diffusion kurtosis imaging (DKI) before NAC (time point <i>T</i>₁) and after two, four, and six cycles of NAC (<i>T</i>₂, <i>T</i>₃, and <i>T</i>₄, respectively). The apparent diffusion coefficient (ADC) and IVIM and DKI parameters were compared using repeated-measures analysis of variance. Backward stepwise multivariable logistic regression analysis was used to identify parameters associated with pCR. Model performance was assessed using the area under the receiver operating characteristic curve (AUC) and was compared using the DeLong test. Results Among 160 women (mean age, 49.73 years ± 8.39 [SD]), 36 had pCR. ADC, tissue diffusion coefficient, and non-Gaussian ADC (<i>D</i>_app) demonstrated significant differences between the pCR group and non-pCR group (<i>P</i> = .04, .02, and .01, respectively). At <i>T</i>₂, progesterone receptor positivity (odds ratio [OR], 0.10 [95% CI: 0.02, 0.48]; <i>P</i> = .004) was associated with lower odds of pCR, while human epidermal growth factor receptor 2 positivity (OR, 4.51 [95% CI: 1.64, 12.45]; <i>P</i> = .004), higher <i>D</i>_app (OR, 8.44 [95% CI: 3.28, 21.72]; <i>P</i> < .001), and higher apparent kurtosis coefficient (OR, 7.69 [95% CI: 3.03, 19.53]; <i>P</i> < .001) were associated with higher odds of pCR. The clinicopathologic-DKI model integrating these parameters exhibited an AUC of 0.90 (95% CI: 0.84, 0.94) in predicting pCR, outperforming the clinicopathologic model (AUC, 0.79 [95% CI: 0.72, 0.85]; <i>P</i> < .001) and clinicopathologic-IVIM model (AUC, 0.84 [95% CI: 0.77, 0.89]; <i>P</i> = .04). Conclusion A model combining clinicopathologic variables and DKI parameters after early NAC showed excellent performance in predicting pCR to NAC for breast cancer. © RSNA, 2025 <i>Supplemental material is available for this article.</i> See also the editorial by Thakur and Bitencourt in this issue.</p>","PeriodicalId":20896,"journal":{"name":"Radiology","volume":"316 1","pages":"e242969"},"PeriodicalIF":12.1,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144691366","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Influence of AI Decision Support on Radiologists' Performance and Visual Search in Screening Mammography.","authors":"Jessie J J Gommers,Sarah D Verboom,Katya M Duvivier,Cornelis Jan van Rooden,A Fleur van Raamt,Janneke B Houwers,Dick B Naafs,Lucien E M Duijm,Miguel P Eckstein,Craig K Abbey,Mireille J M Broeders,Ioannis Sechopoulos","doi":"10.1148/radiol.243688","DOIUrl":"https://doi.org/10.1148/radiol.243688","url":null,"abstract":"Background Artificial intelligence (AI) decision support may improve radiologist performance during screening mammography interpretation, but its effect on radiologists' visual search behavior remains unclear. Purpose To compare radiologist performance and visual search patterns when reading screening mammograms with and without an AI decision support system. Materials and Methods In this retrospective multireader multicase study, 12 breast screening radiologists with 4-32 years of experience (median, 12 years) from 10 institutions evaluated screening mammograms acquired between September 2016 and May 2019. Assessments were conducted unaided and with a Food and Drug Administration-approved, European Commission-marked AI decision support system, which assigns a region suspicion score from 1 to 100, with 100 indicating the highest malignancy likelihood. An eye tracker monitored readers' eye movements. Area under the receiver operating characteristic curve (AUC), sensitivity, and specificity between unaided and AI-assisted reading were compared using multireader multicase analysis software. Reading times, breast fixation coverage (percentage breast covered by fixations within 2.5° visual angle radius), fixation time, and time to first fixation within the lesion region were compared using bootstrap resampling (n = 20 000). Results Mammography examinations (75 with breast cancer, 75 without breast cancer) from 150 women (median age, 55 years [IQR, 50-63 years]; age range, 49-72 years) were read. The mean AUC was higher with AI support versus unaided reading (unaided, 0.93 [95% CI: 0.91, 0.96]; AI-supported, 0.97 [95% CI: 0.95, 0.98]; P < .001). There was no evidence of a difference in mean sensitivity (81.7% [735 of 900 readings] vs 87.2% [785 of 900]; P = .06), specificity (89.0% [801 of 900] vs 91.1% [820 of 900]; P = .46), or reading time (29.4 vs 30.8 seconds; P = .33). Breast fixation coverage was lower with AI support (11.1% vs 9.5% of breast area; P = .004), while fixation time in the lesion region was higher (4.4 vs 5.4 seconds; P = .006). There was no evidence of a difference in time to first fixation within the lesion region (3.4 vs 3.8 seconds; P = .13). Conclusion Radiologists improved their breast cancer detection accuracy when reading mammography with AI support, spending more fixation time on suspicious areas and less on the rest of the breast, indicating a more efficient search. © RSNA, 2025 Supplemental material is available for this article. See also the editorial by Wolfe in this issue.","PeriodicalId":20896,"journal":{"name":"Radiology","volume":"26 1","pages":"e243688"},"PeriodicalIF":19.7,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144578621","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Unilateral Absence of Pulmonary Artery with Collateral Circulation.","authors":"Yifan Bie","doi":"10.1148/radiol.243484","DOIUrl":"https://doi.org/10.1148/radiol.243484","url":null,"abstract":"","PeriodicalId":20896,"journal":{"name":"Radiology","volume":"9 1","pages":"e243484"},"PeriodicalIF":19.7,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144578625","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Longitudinal Tracking of Emphysema Holes at Noncontrast CT: Dynamic Patterns and Clinical Relationships.","authors":"Yura Ahn, Eun Ji Lee, Jihye Yun, Hye Jeon Hwang, Yeon-Mok Oh, Myeong Jun Kim, Seung Bin Bae, Donghoon Yu, Jaeyoun Yi, Sang Min Lee, Joon Beom Seo","doi":"10.1148/radiol.243239","DOIUrl":"https://doi.org/10.1148/radiol.243239","url":null,"abstract":"<p><p>Background Emphysema holes change longitudinally in various ways, but current CT measurements lack the ability to fully capture these changes beyond measuring the extent of emphysema. Purpose To track emphysema holes longitudinally, group them according to their dynamics, and investigate their relationship with change in forced expiratory volume in 1 second (FEV₁), disease progression, and mortality. Materials and Methods In this secondary analysis, data from participants in the Korean Obstructive Lung Disease cohort study from June 2005 to October 2013 who completed baseline and 6-year follow-up CT with identical protocols were evaluated. Emphysema holes were identified and tracked using deep learning-based software and were grouped based on changes in diameter (in 2-mm increments) as increased in diameter (including both new and enlarged preexisting holes), stable, or decreased in diameter. The percentage of hole volume in each group and its relationship with FEV₁ decline were analyzed using multiple linear regression, and comparisons were made among the subsets of participants on the basis of emphysema progression or severity. Overall survival according to the volume cutoff of the holes with increased diameter was compared using the log-rank test. Results Among 108 participants (mean age, 63.4 years ± 6.7 [SD]; 104 male), 39 had emphysema progression (based on whether the change in low-attenuation area less than -950 HU [LAA-950] exceeded 3.7%). Enlarged preexisting holes were marginally associated with a greater decline in FEV₁ (β = -.25, <i>P</i> = .049). Compared with those without emphysema progression, those with emphysema progression had a significantly greater percentage of hole volume and percentage of holes with increased diameter (7.7% vs 1.9% and 18.3% vs 6.2%, respectively; both <i>P</i> < .001), with most of the volume attributed to new holes. Participants with severe disease or emphysema (FEV₁ < 50% or LAA-950 ≥ 14%) had more holes with increased diameter (5.1% vs 2.4% [<i>P</i> = .02] and 6.7% vs 1.2% [<i>P</i> < .001], respectively) and new holes (3.8% vs 1.7% [<i>P</i> = .01] and 4.7% vs 1.1% [<i>P</i> < .001], respectively). Participants with 5% or greater volume of increased-diameter holes had worse overall survival (log-rank <i>P</i> < .001). Conclusion Emphysema hole-tracking results showed that a greater volume of holes that increased in diameter were related to change in FEV₁, disease progression, and mortality. © RSNA, 2025 <i>Supplemental material is available for this article</i>. See also the editorial by van Beek in this issue.</p>","PeriodicalId":20896,"journal":{"name":"Radiology","volume":"316 1","pages":"e243239"},"PeriodicalIF":12.1,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144637823","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Posttreatment MRI to Predict Pathologic Complete Response of Triple-Negative Breast Cancer to Neoadjuvant Chemoimmunotherapy.","authors":"Toulsie Ramtohul, Derek Lollivier, Justine Spriet, Maxime Jin, Lounes Djerroudi, Thomas Gaillard, Claire Bonneau, Delphine Loirat, Diana Bello-Roufai, Youlia Kirova, Pierre Loap, Caroline Malhaire, Anne Vincent Salomon, François-Clément Bidard, Anne Tardivon, Audrey Maillez, Lauren Wallaert, Luc Ceugnart, Caroline Nhy, Luc Cabel","doi":"10.1148/radiol.243824","DOIUrl":"https://doi.org/10.1148/radiol.243824","url":null,"abstract":"<p><p>Background Neoadjuvant chemoimmunotherapy (NACI) has substantially improved pathologic complete response (pCR) rates in early triple-negative breast cancer (TNBC). However, the predictive accuracy of posttreatment MRI remains unexplored. Purpose To assess the performance of posttreatment MRI in the prediction of pCR in participants with TNBC treated with NACI. Materials and Methods In this prospective multicenter study (August 2021-June 2024), women with early TNBC were recruited from three centers (training set: Institut Curie; test set: Institut Godinot and Institut Oscar Lambret). Post-NACI dynamic contrast-enhanced MRI scans from multiple vendors were analyzed. Radiologic complete response (rCR)-defined as no enhancement in the tumor bed-was evaluated for predicting pCR. A multivariable logistic regression model incorporating rCR, nodal involvement, and Ki-67 index was developed and externally validated. In cases with residual enhancement (non-rCR), a radiomic score using shape and first-order features was tested. Results A total of 175 women were included in the training set (mean age, 49 years ± 11 [SD]) and 84 women in the external test set (mean age, 52 years ± 12). The rCR at MRI was predictive of pCR, with an area under the receiver operating characteristic curve (AUC) of 0.83 (95% CI: 0.75, 0.92). The combined model (rCR + nodal status + Ki-67) yielded an AUC of 0.88 (95% CI: 0.81, 0.96) in the test set. In node-negative patients with Ki-67 greater than 30%, the rCR false-discovery rate (ie, the proportion of rCR cases that were actually non-pCR or residual disease missed at breast MRI) was 3.6% (two of 56) in the training set and 3.5% (one of 29) in the test set; all cancers were limited to residual cancer burden I. In non-rCR cases, a model incorporating the radiomics score and lesion count achieved an AUC of 0.80 (95% CI: 0.69, 0.90). Conclusion Posttreatment rCR at MRI demonstrated strong predictive value for pCR in early TNBC following NACI. © RSNA, 2025 <i>Supplemental material is available for this article.</i> See also the editorial by Onishi in this issue.</p>","PeriodicalId":20896,"journal":{"name":"Radiology","volume":"316 1","pages":"e243824"},"PeriodicalIF":12.1,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144541984","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"LI-RADS Ancillary Features: No Impact on Diagnostic Performance but Might Be Useful.","authors":"Adam Cory Searleman","doi":"10.1148/radiol.251808","DOIUrl":"https://doi.org/10.1148/radiol.251808","url":null,"abstract":"","PeriodicalId":20896,"journal":{"name":"Radiology","volume":"80 1","pages":"e251808"},"PeriodicalIF":19.7,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144578628","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Best Practice: International Multisociety Consensus Statement for Post-COVID-19 Residual Abnormalities on Chest CT Scans.","authors":"Soon Ho Yoon, Jeffrey P Kanne, Kazuto Ashizawa, Jürgen Biederer, Eva Castañer, Li Fan, Thomas Frauenfelder, Benoit Ghaye, Travis S Henry, Yu-Sen Huang, Yeon Joo Jeong, Fernando U Kay, Seth Kligerman, Jane P Ko, Anagha P Parkar, Nitra Piyavisetpat, Helmut Prosch, Constantine A Raptis, Scott Simpson, Nobuyuki Tanaka, Kevin K Brown, Yoshikazu Inoue, Nathan Sandbo, Luca Richeldi, Anna Rita Larici","doi":"10.1148/radiol.243374","DOIUrl":"https://doi.org/10.1148/radiol.243374","url":null,"abstract":"<p><p>Residual lung abnormalities on CT scans after COVID-19 respiratory infection may be associated with persistent or progressive respiratory symptoms and frequently correlate with abnormal pulmonary function testing results. These abnormalities have been described using varying terms in numerous publications. Chest CT lung abnormalities after COVID-19 infection tend to stabilize or regress over time, indicating that they are nonprogressive and postinfectious in nature. This multisociety consensus statement, developed by 21 thoracic radiologists from the European Society of Thoracic Imaging, the Society of Thoracic Radiology, and the Asian Society of Thoracic Radiology with a two-round survey process, aims to standardize the indication, acquisition, and reporting of post-COVID-19 residual lung abnormalities on CT scans. Key recommendations include performing chest CT in patients with persistent or progressive respiratory symptoms 3 months after infection, using low-dose CT protocols (range, 1-3 mSv) for follow-up chest CT examinations, using Fleischner Society glossary of terms for radiologic descriptors, and avoiding the term <i>interstitial lung abnormality</i> to describe post-COVID-19 abnormalities. Instead, to prevent misinterpreting post-COVID-19 abnormalities as an early manifestation of interstitial lung disease, use the term <i>post-COVID-19 residual lung abnormality</i>. This consensus statement will help harmonize radiology practice and research for the substantial number of affected patients.</p>","PeriodicalId":20896,"journal":{"name":"Radiology","volume":"316 1","pages":"e243374"},"PeriodicalIF":12.1,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144691365","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}