American Journal of Roentgenology最新文献

{"title":"Editorial Comment: Quantitative T2 and T1rho MRI-A Research Tool Seeking Clinical Relevance.","authors":"Jan Fritz","doi":"10.2214/AJR.24.31865","DOIUrl":"https://doi.org/10.2214/AJR.24.31865","url":null,"abstract":"","PeriodicalId":55529,"journal":{"name":"American Journal of Roentgenology","volume":null,"pages":null},"PeriodicalIF":4.7,"publicationDate":"2024-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141977277","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":"Habitat Imaging With Tumoral and Peritumoral Radiomics for Prediction of Lung Adenocarcinoma Invasiveness on Preoperative Chest CT: A Multicenter Study.","authors":"Youlan Shang, Ying Zeng, Shiwei Luo, Yisong Wang, Jiaqi Yao, Ming Li, Xiaoying Li, Xiaoyan Kui, Hao Wu, Kangxu Fan, Zhi-Cheng Li, Hairong Zheng, Ge Li, Jun Liu, Wei Zhao","doi":"10.2214/AJR.24.31675","DOIUrl":"10.2214/AJR.24.31675","url":null,"abstract":"<p><p><b>Background:</b> Tumors' growth processes result in spatial heterogeneity, with the development of tumor subregions (i.e., habitats) having unique biologic characteristics. <b>Objective:</b> To develop and validate a habitat model combining tumor and peritumoral radiomics features on chest CT for predicting invasiveness of lung adenocarcinoma. <b>Methods:</b> This retrospective study included 1156 patients (mean age, 57.5 years; 464 male, 692 female) from three centers and a public dataset, who underwent chest CT before lung adenocarcinoma resection (variable date ranges across datasets). Patients from one center formed training (n=500) and validation (n=215) sets; patients from the other sources formed three external test sets (n=249, 113, 79). For each patient, a single nodule was manually segmented on chest CT. The nodule segmentation was combined with an automatically generated 4-mm peritumoral region into a whole-volume volume-of-interest (VOI). A Gaussian mixture model (GMM) identified voxel clusters with similar first-order energy across patients. GMM results were used to divide each patient's whole-volume VOI into multiple habitats, defined consistently across patients. Radiomic features were extracted from each habitat. After feature selection, a habitat model was developed for predicting invasiveness, using pathologic assessment as a reference. An integrated model was constructed, combining features extracted from habitats and whole-volume VOIs. Model performance was evaluated, including in subgroups based on nodule density (pure ground-glass, part-solid, solid). <b>Results:</b> Invasive cancer was diagnosed in 625/1156 patients. GMM identified four as the optimal number of voxel clusters and thus of per-patient tumor habitats. The habitat model had AUC of 0.932 in the validation set, and 0.881, 0.880, and 0.764 in the three external test sets. The integrated model had AUC of 0.947 in the validation set and 0.936, 0.908, and 0.800 in the three external test sets. In the three external test sets combined, across nodule densities, AUCs for the habitat model were 0.836-0.969 and for the integrated model were 0.846-0.917. <b>Conclusions:</b> Habitat imaging combining tumoral and peritumoral radiomic features could help predict lung adenocarcinoma invasiveness. Prediction is improved when combining information on tumor subregions and the tumor overall. <b>Clinical Impact:</b> The findings may aid personalized preoperative assessments to guide clinical decision-making in lung adenocarcinoma.</p>","PeriodicalId":55529,"journal":{"name":"American Journal of Roentgenology","volume":null,"pages":null},"PeriodicalIF":4.7,"publicationDate":"2024-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141977287","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":"Editorial Comment: Cartilage T2 and T1rho-Will Artificial Intelligence Lead to the Return of an Oldie But a Goodie?","authors":"Ian Amber","doi":"10.2214/AJR.24.31854","DOIUrl":"https://doi.org/10.2214/AJR.24.31854","url":null,"abstract":"","PeriodicalId":55529,"journal":{"name":"American Journal of Roentgenology","volume":null,"pages":null},"PeriodicalIF":4.7,"publicationDate":"2024-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141977276","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 Comparison of Conventional CTA With Angiography-CT for Identification of Culprit Systemic Arteries in Patients Undergoing Bronchial Artery Embolization for Hemoptysis.","authors":"Wei Hong, Songlin Song, Haohao Lu, Yanqiao Ren, Ziyi Liu, Jinqiang Ma, Chuansheng Zheng, Bin Liang","doi":"10.2214/AJR.24.31515","DOIUrl":"10.2214/AJR.24.31515","url":null,"abstract":"","PeriodicalId":55529,"journal":{"name":"American Journal of Roentgenology","volume":null,"pages":null},"PeriodicalIF":4.7,"publicationDate":"2024-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141977288","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":"Beyond the <i>AJR</i>: Can Evidence-Based MRI Signs Improve the Diagnostic Accuracy of Idiopathic Intracranial Hypertension?","authors":"Andrew Lawrence Callen, Samantha Pisani Petrucci","doi":"10.2214/AJR.24.31859","DOIUrl":"https://doi.org/10.2214/AJR.24.31859","url":null,"abstract":"","PeriodicalId":55529,"journal":{"name":"American Journal of Roentgenology","volume":null,"pages":null},"PeriodicalIF":4.7,"publicationDate":"2024-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141899044","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":"Editorial Comment: Radiologists Must Recognize the Limitations of Current Interpretative Artificial Intelligence Applications.","authors":"Antonio Luna","doi":"10.2214/AJR.24.31842","DOIUrl":"https://doi.org/10.2214/AJR.24.31842","url":null,"abstract":"","PeriodicalId":55529,"journal":{"name":"American Journal of Roentgenology","volume":null,"pages":null},"PeriodicalIF":4.7,"publicationDate":"2024-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141899047","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":"Beyond the <i>AJR</i>: Investigating the Limits of Mechanical Thrombectomy for Stroke.","authors":"Nicholas A Telischak","doi":"10.2214/AJR.24.31849","DOIUrl":"https://doi.org/10.2214/AJR.24.31849","url":null,"abstract":"","PeriodicalId":55529,"journal":{"name":"American Journal of Roentgenology","volume":null,"pages":null},"PeriodicalIF":4.7,"publicationDate":"2024-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141899045","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":"Editorial Comment: Percutaneous Cryoablation Can Safely Control Treatment-Refractory Foci of Soft-Tissue Sarcoma.","authors":"Fabio Zecca","doi":"10.2214/AJR.24.31841","DOIUrl":"https://doi.org/10.2214/AJR.24.31841","url":null,"abstract":"","PeriodicalId":55529,"journal":{"name":"American Journal of Roentgenology","volume":null,"pages":null},"PeriodicalIF":4.7,"publicationDate":"2024-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141899046","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":"Editorial Comment: With or Without Contrast Media? Navigating the Challenge of Imaging Pregnant and Lactating Patients.","authors":"Monica M Forbes-Amrhein","doi":"10.2214/AJR.24.31866","DOIUrl":"https://doi.org/10.2214/AJR.24.31866","url":null,"abstract":"","PeriodicalId":55529,"journal":{"name":"American Journal of Roentgenology","volume":null,"pages":null},"PeriodicalIF":4.7,"publicationDate":"2024-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141899048","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 Translational Medicine of 2030: Bedside to Biosphere.","authors":"Reed A Omary, Thomas M Grist","doi":"10.2214/AJR.24.31562","DOIUrl":"https://doi.org/10.2214/AJR.24.31562","url":null,"abstract":"<p><p>For over two decades, translational medicine has accelerated basic science discovery into clinical application using a bench-to-bedside framework. Given that climate change represents the single greatest health threat facing humanity, the authors propose extending this framework to now include bedside to the biosphere. Several potential opportunities in clinical operations, research, and advocacy using this framework are provided. In addition, we propose that technology assessment studies of diagnostic imaging measure planetary outcomes alongside patient outcomes.</p>","PeriodicalId":55529,"journal":{"name":"American Journal of Roentgenology","volume":null,"pages":null},"PeriodicalIF":4.7,"publicationDate":"2024-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141899049","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}