Pub Date : 2025-10-01DOI: 10.1053/j.ro.2025.04.002
Samuel R. Friedlander, Rocio Perez-Johnston, Markus Y. Wu
{"title":"Challenges in Imaging Pulmonary Nodules: Differentiating Benign from Malignant Lesions","authors":"Samuel R. Friedlander, Rocio Perez-Johnston, Markus Y. Wu","doi":"10.1053/j.ro.2025.04.002","DOIUrl":"10.1053/j.ro.2025.04.002","url":null,"abstract":"","PeriodicalId":51151,"journal":{"name":"Seminars in Roentgenology","volume":"60 4","pages":"Pages 365-380"},"PeriodicalIF":1.3,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145327389","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 : 2025-10-01DOI: 10.1053/j.ro.2025.04.007
Palmi Shah, Ramya S. Gaddikeri, Maham Jehangir, Kaitlin M. Robling, Mohamed Z. Hussein
{"title":"Oligometastatic and Oligoprogressive Disease in Lung Cancer: Concepts for Radiologists","authors":"Palmi Shah, Ramya S. Gaddikeri, Maham Jehangir, Kaitlin M. Robling, Mohamed Z. Hussein","doi":"10.1053/j.ro.2025.04.007","DOIUrl":"10.1053/j.ro.2025.04.007","url":null,"abstract":"","PeriodicalId":51151,"journal":{"name":"Seminars in Roentgenology","volume":"60 4","pages":"Pages 381-404"},"PeriodicalIF":1.3,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145327390","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 : 2025-10-01DOI: 10.1053/j.ro.2025.06.003
Juliana Barreto Caldas de Lima , Ian Griffin , Jessica Shapiro Gemmell , Kayla Davis , Udochukwu Amanamba , Navid Asadi Zanjani , Mohammad Reza Hosseini Siyanaki , Tan-Lucien Mohammed , Takis Benos , Rosana Souza Rodrigues , Diana Gomez Manjarres , Arezou Sobhani , Bruno Hochhegger
Artificial intelligence (AI) enhances the practice of chest imaging by improving diagnostic accuracy, streamlining workflows, and facilitating personalized patient care. As a powerful tool, AI augments the expertise of radiologists, enabling more precise evaluations and quicker decision-making. This article examines the barriers to AI adoption in chest imaging, focusing on challenges related to bias, transparency, accountability, and data privacy. We discuss the ethical implications of AI-driven decision-making, particularly concerning fairness, and propose strategies to address these concerns. Additionally, we explore regulatory obstacles, including the approval pathways for AI algorithms and the need for continuous learning and adaptability in clinical settings. We also address practical considerations, such as the integration of AI tools into existing workflows, model generalizability, and economic factors. The article concludes with recommendations for responsible AI adoption, emphasizing the importance of interdisciplinary collaboration, robust validation frameworks, and continuous education for radiologists. By navigating these challenges, the radiology community can effectively leverage AI’s potential, ultimately leading to enhanced patient outcomes and improved diagnostic processes.
{"title":"Ethical, Regulatory, and Practical Challenges in Artificial Intelligence-Driven Chest Imaging","authors":"Juliana Barreto Caldas de Lima , Ian Griffin , Jessica Shapiro Gemmell , Kayla Davis , Udochukwu Amanamba , Navid Asadi Zanjani , Mohammad Reza Hosseini Siyanaki , Tan-Lucien Mohammed , Takis Benos , Rosana Souza Rodrigues , Diana Gomez Manjarres , Arezou Sobhani , Bruno Hochhegger","doi":"10.1053/j.ro.2025.06.003","DOIUrl":"10.1053/j.ro.2025.06.003","url":null,"abstract":"<div><div>Artificial intelligence (AI) enhances the practice of chest imaging<span> by improving diagnostic accuracy, streamlining workflows, and facilitating personalized patient care. As a powerful tool, AI augments the expertise of radiologists, enabling more precise evaluations and quicker decision-making. This article examines the barriers to AI adoption in chest imaging, focusing on challenges related to bias, transparency, accountability, and data privacy. We discuss the ethical implications of AI-driven decision-making, particularly concerning fairness, and propose strategies to address these concerns. Additionally, we explore regulatory obstacles, including the approval pathways for AI algorithms and the need for continuous learning and adaptability in clinical settings. We also address practical considerations, such as the integration of AI tools into existing workflows, model generalizability, and economic factors. The article concludes with recommendations for responsible AI adoption, emphasizing the importance of interdisciplinary collaboration, robust validation frameworks, and continuous education for radiologists. By navigating these challenges, the radiology community can effectively leverage AI’s potential, ultimately leading to enhanced patient outcomes and improved diagnostic processes.</span></div></div>","PeriodicalId":51151,"journal":{"name":"Seminars in Roentgenology","volume":"60 4","pages":"Pages 422-438"},"PeriodicalIF":1.3,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145327376","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 : 2025-10-01DOI: 10.1053/j.ro.2025.04.008
Tan Lucien Mohammed
{"title":"Letter from the Guest Editor: State of the art and future trends in thoracic oncologic Imaging","authors":"Tan Lucien Mohammed","doi":"10.1053/j.ro.2025.04.008","DOIUrl":"10.1053/j.ro.2025.04.008","url":null,"abstract":"","PeriodicalId":51151,"journal":{"name":"Seminars in Roentgenology","volume":"60 4","pages":"Page 356"},"PeriodicalIF":1.3,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145327374","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 : 2025-10-01DOI: 10.1053/j.ro.2025.06.002
Joice Prodigios , Ronak Kundalia , Amanda Acevedo , Jean Bontemps , David Pfaehler , Md Mahfuz Al Hasan , Kyle B. See , Nupur Verma , Daniela Hochhegger , Alysson Roncally Silva Carvalho , Tan-Lucien Mohammed , Bruno Hochhegger
{"title":"Quantitative Imaging Biomarkers in Lung Cancer: Current Trends and Future Directions","authors":"Joice Prodigios , Ronak Kundalia , Amanda Acevedo , Jean Bontemps , David Pfaehler , Md Mahfuz Al Hasan , Kyle B. See , Nupur Verma , Daniela Hochhegger , Alysson Roncally Silva Carvalho , Tan-Lucien Mohammed , Bruno Hochhegger","doi":"10.1053/j.ro.2025.06.002","DOIUrl":"10.1053/j.ro.2025.06.002","url":null,"abstract":"","PeriodicalId":51151,"journal":{"name":"Seminars in Roentgenology","volume":"60 4","pages":"Pages 439-449"},"PeriodicalIF":1.3,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145327375","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 : 2025-07-01DOI: 10.1053/j.ro.2025.02.006
Daniel J. Wale
{"title":"Advances in Radionuclide Imaging With SPECT/CT","authors":"Daniel J. Wale","doi":"10.1053/j.ro.2025.02.006","DOIUrl":"10.1053/j.ro.2025.02.006","url":null,"abstract":"","PeriodicalId":51151,"journal":{"name":"Seminars in Roentgenology","volume":"60 3","pages":"Pages 274-287"},"PeriodicalIF":0.8,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144556895","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 : 2025-07-01DOI: 10.1053/j.ro.2025.02.003
Alex Heglin, Bradley Girod, Asha Kandathil
{"title":"PET Beyond FDG: New Era of Oncologic Molecular Targets Using Positron-Emitting Radiotracers","authors":"Alex Heglin, Bradley Girod, Asha Kandathil","doi":"10.1053/j.ro.2025.02.003","DOIUrl":"10.1053/j.ro.2025.02.003","url":null,"abstract":"","PeriodicalId":51151,"journal":{"name":"Seminars in Roentgenology","volume":"60 3","pages":"Pages 300-316"},"PeriodicalIF":0.8,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144556897","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 : 2025-07-01DOI: 10.1053/j.ro.2025.03.001
Kellen J. Fitzpatrick MS, Margherita Vicari NP, Jeremy Niedbala CNMT, Kirk A. Frey MD, PhD, Yuni Dewaraja PhD, Ka Kit Wong MBBS
{"title":"Case of the Season: 177Lu-DOTATATE Peptide Receptor Radiotherapy With Acute Dialysis Support in a Patient With Chronic Kidney Disease (CKD)","authors":"Kellen J. Fitzpatrick MS, Margherita Vicari NP, Jeremy Niedbala CNMT, Kirk A. Frey MD, PhD, Yuni Dewaraja PhD, Ka Kit Wong MBBS","doi":"10.1053/j.ro.2025.03.001","DOIUrl":"10.1053/j.ro.2025.03.001","url":null,"abstract":"","PeriodicalId":51151,"journal":{"name":"Seminars in Roentgenology","volume":"60 3","pages":"Pages 233-237"},"PeriodicalIF":0.8,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144563972","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 : 2025-07-01DOI: 10.1053/j.ro.2025.04.003
Prachi Agarwal MD, MS, FNASCI
{"title":"Nuclear Medicine Advances: A New Era in Precision Medicine","authors":"Prachi Agarwal MD, MS, FNASCI","doi":"10.1053/j.ro.2025.04.003","DOIUrl":"10.1053/j.ro.2025.04.003","url":null,"abstract":"","PeriodicalId":51151,"journal":{"name":"Seminars in Roentgenology","volume":"60 3","pages":"Page 231"},"PeriodicalIF":0.8,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144556891","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}