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Articles published in AJR Am J Roentgenol

Retrieve available abstracts of 41 articles:
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Single Articles


    August 2021
  1. BARUAH D
    Editorial Comment: Diagnosing Mediastinal Lymph Node Involvement in Non Small Cell Lung Cancer Noninvasively With Advanced Imaging Markers-Are We There Yet?
    AJR Am J Roentgenol. 2021 Aug 18. doi: 10.2214/AJR.21.26661.
    PubMed    


  2. STEFANIDIS K, Konstantelloy E, Yusuf G, Moser J, et al
    The Evolving Landscape of Lung Cancer Surgical Resection: An Update for Radiologists With Focus on Key Chest CT Findings.
    AJR Am J Roentgenol. 2021 Aug 18. doi: 10.2214/AJR.21.26408.
    PubMed     Abstract available


  3. DENNIE C, Dyer D, Goo JM, Revel MP, et al
    The Global Reading Room: A Likely Infectious Abnormality on Lung Cancer Screening CT.
    AJR Am J Roentgenol. 2021 Aug 4. doi: 10.2214/AJR.21.26617.
    PubMed     Abstract available


    July 2021
  4. NAGANO H, Takumi K, Nakajo M, Fukukura Y, et al
    Dual-Energy CT-Derived Electron Density for Diagnosing Metastatic Mediastinal Lymph Nodes in Non-Small Cell Lung Cancer: Comparison With Conventional CT and FDG PET/CT Findings.
    AJR Am J Roentgenol. 2021 Jul 28. doi: 10.2214/AJR.21.26208.
    PubMed     Abstract available


    June 2021
  5. TSUCHIYA K
    Editorial Comment: New Insights Into the MRI Diagnosis of Brain Metastasis From Lung Cancer.
    AJR Am J Roentgenol. 2021 Jun 2. doi: 10.2214/AJR.21.26288.
    PubMed    


  6. CHELALA L, Hossain R, Kazerooni EA, Christensen JD, et al
    Lung-RADS Version 1.1: Challenges and a Look Ahead, From the AJR Special Series on Radiology Reporting and Data Systems.
    AJR Am J Roentgenol. 2021;216:1411-1422.
    PubMed     Abstract available


  7. ARAUJO-FILHO JAB, Halpenny D, McQuade C, Puthoff G, et al
    Management of Pulmonary Nodules in Oncologic Patients: AJR Expert Panel Narrative Review.
    AJR Am J Roentgenol. 2021;216:1423-1431.
    PubMed     Abstract available


    May 2021
  8. KIM M, Suh CH, Lee SM, Park JE, et al
    Development of Brain Metastases in Patients With Non-Small Cell Lung Cancer and No Brain Metastases at Initial Staging Evaluation: Cumulative Incidence and Risk Factor Analysis.
    AJR Am J Roentgenol. 2021 May 26. doi: 10.2214/AJR.21.25787.
    PubMed     Abstract available


  9. BRUZZI JF
    Editorial Comment: Metabolic Tumor Volume on FDG PET/CT for Predicting Lymphovascular Invasion of Lung Cancer-Proceed With Caution.
    AJR Am J Roentgenol. 2021 May 19. doi: 10.2214/AJR.21.26193.
    PubMed    


  10. KOO CW
    Editorial Comment: Lobectomy Versus Sublobar Resection-How Preoperative CT Features Can Tell You How Much to Resect in Stage IA Non-Small Cell Lung Cancer.
    AJR Am J Roentgenol. 2021 May 19. doi: 10.2214/AJR.21.26175.
    PubMed    


  11. LI C, Tian Y, Shen Y, Wen B, et al
    Utility of Volumetric Metabolic Parameters on Preoperative FDG PET/CT for Predicting Tumor Lymphovascular Invasion in Non-Small Cell Lung Cancer.
    AJR Am J Roentgenol. 2021 May 12. doi: 10.2214/AJR.21.25814.
    PubMed     Abstract available


  12. CHOE J, Kim MY, Yun JK, Lee GD, et al
    Sublobar Resection in Stage IA Non-Small Cell Lung Cancer: Role of Preoperative CT Features in Predicting Pathologic Lymphovascular Invasion and Postoperative Recurrence.
    AJR Am J Roentgenol. 2021 May 12. doi: 10.2214/AJR.21.25618.
    PubMed     Abstract available


  13. HAAS BM
    Editorial Comment: Report Extent of Consolidation and Pulmonary Artery Diameter in Patients With Interstitial Lung Disease Who Are Undergoing an Initial Evaluation of Lung Cancer.
    AJR Am J Roentgenol. 2021 May 5. doi: 10.2214/AJR.21.26099.
    PubMed    


    April 2021
  14. OZAWA Y, Shibamoto Y, Hiroshima M, Nakagawa M, et al
    Preoperative CT Findings for Predicting Acute Exacerbation of Interstitial Pneumonia After Lung Cancer Surgery: A Multicenter Case-Control Study.
    AJR Am J Roentgenol. 2021 Apr 14. doi: 10.2214/AJR.21.25499.
    PubMed     Abstract available


  15. GAN JM, Kikano EG, Smith DA, Bui MT, et al
    Role of Key Guidelines in an Era of Precision Oncology: A Primer for the Radiologist.
    AJR Am J Roentgenol. 2021;216:1112-1125.
    PubMed     Abstract available


    March 2021
  16. FLORES EJ, Narayan AK
    Beyond the AJR: "Using prediction-models to reduce persistent racial/ethnic disparities in draft 2020 USPSTF lung-cancer screening guidelines".
    AJR Am J Roentgenol. 2021 Mar 24. doi: 10.2214/AJR.21.25877.
    PubMed    


  17. CHO JY, Winant AJ, Sohn JH, Vargas SO, et al
    CT Features of Benign Intrapulmonary Lymph Nodes in Pediatric Patients With Known Extrapulmonary Solid Malignancy.
    AJR Am J Roentgenol. 2021 Mar 17:1-6. doi: 10.2214/AJR.20.23363.
    PubMed     Abstract available


  18. LEE GM, Stowell JT, Pope K, Carter BW, et al
    Lymphatic Pathways of the Thorax: Predictable Patterns of Spread.
    AJR Am J Roentgenol. 2021;216:649-658.
    PubMed     Abstract available


    January 2021
  19. SERAI SD, Rapp JB, States LJ, Andronikou S, et al
    Pediatric Lung MRI: Currently Available and Emerging Techniques.
    AJR Am J Roentgenol. 2021 Jan 21:1-10. doi: 10.2214/AJR.20.23104.
    PubMed     Abstract available


  20. DROSTEN R
    Editorial Comment: Practical Considerations in the Application of Recommendations for Suspected Infectious and Inflammatory Lung Abnormalities on Lung Cancer Screening CT.
    AJR Am J Roentgenol. 2021 Jan 20. doi: 10.2214/AJR.21.25447.
    PubMed    


  21. JI Y, Shao CC, Cui Y, Cui K, et al
    The Diagnostic Value of FDG PET/CT and Thin-Slice High-Resolution Chest CT in Pulmonary Intravascular Metastasis.
    AJR Am J Roentgenol. 2021 Jan 6:1-7. doi: 10.2214/AJR.20.23017.
    PubMed     Abstract available


    December 2020
  22. MENDOZA DP, Chintanapakdee W, Zhang EW, Gilman MD, et al
    Management and Outcomes of Suspected Infectious and Inflammatory Lung Abnormalities Identified on Lung Cancer Screening CT.
    AJR Am J Roentgenol. 2020 Dec 30. doi: 10.2214/AJR.20.25124.
    PubMed     Abstract available


  23. PATEL BN, Langlotz CP
    Beyond the AJR: "Deep Learning Using Chest Radiographs to Identify High-Risk Smokers for Lung Cancer Screening Computed Tomography: Development and Validation of a Prediction Model".
    AJR Am J Roentgenol. 2020 Dec 23. doi: 10.2214/AJR.20.25334.
    PubMed    


  24. SMITH DA, Radzinsky E, Tirumani SH, Guler E, et al
    Findings on Chest CT Performed in the Emergency Department in Patients on Immune Checkpoint Inhibitor Therapy: Single-Institution 8-Year Experience in 136 Patients.
    AJR Am J Roentgenol. 2020 Dec 9. doi: 10.2214/AJR.20.24758.
    PubMed     Abstract available


  25. BOLEN MA
    Editorial Comment on "Clinicopathologic and Longitudinal Imaging Features of Lung Cancer Associated with Cystic Airspaces: A Systematic Review and Meta-Analysis".
    AJR Am J Roentgenol. 2020 Dec 2. doi: 10.2214/AJR.20.24243.
    PubMed    


  26. AHUJA J, Shroff GS, Benveniste MF, Marom EM, et al
    In Situ Pulmonary Artery Thrombosis: Unrecognized Complication of Radiation Therapy.
    AJR Am J Roentgenol. 2020;215:1329-1334.
    PubMed     Abstract available


    November 2020
  27. XUE Y, Chen D, Chen Y
    Reporting Accuracy in Prediction of Lymph Node Metastasis of Lung Adenocarcinoma With Radiomics.
    AJR Am J Roentgenol. 2020;215:W60.
    PubMed    


    October 2020
  28. HATA A, Yanagawa M, Yoshida Y, Miyata T, et al
    Combination of Deep Learning-Based Denoising and Iterative Reconstruction for Ultra-Low-Dose CT of the Chest: Image Quality and Lung-RADS Evaluation.
    AJR Am J Roentgenol. 2020 Oct 14:1-8. doi: 10.2214/AJR.19.22680.
    PubMed     Abstract available


  29. LITTLE BP, Junn JC, Zheng KS, Sanchez FW, et al
    Diffuse Idiopathic Pulmonary Neuroendocrine Cell Hyperplasia: Imaging and Clinical Features of a Frequently Delayed Diagnosis.
    AJR Am J Roentgenol. 2020 Oct 6:1-9. doi: 10.2214/AJR.19.22628.
    PubMed     Abstract available


    September 2020
  30. OHNO Y, Takeshi Y, Takenaka D, Koyama H, et al
    Comparison of Diagnostic Accuracy for TNM Stage Among Whole-Body MRI and Coregistered PET/MRI Using 1.5-T and 3-T MRI Systems and Integrated PET/CT for Non-Small Cell Lung Cancer.
    AJR Am J Roentgenol. 2020 Sep 22:1-8. doi: 10.2214/AJR.19.22565.
    PubMed     Abstract available


    August 2020
  31. GRASPARIL AD 2ND, Gottumukkala RV, Greer MC, Gee MS, et al
    Whole-Body MRI Surveillance of Cancer Predisposition Syndromes: Current Best Practice Guidelines for Use, Performance, and Interpretation.
    AJR Am J Roentgenol. 2020 Aug 18:1-10. doi: 10.2214/AJR.19.22399.
    PubMed     Abstract available


    July 2020
  32. MENDOZA DP, Heeger A, Mino-Kenudson M, Lanuti M, et al
    Clinicopathologic and Longitudinal Imaging Features of Lung Cancer Associated with Cystic Airspaces: A Systematic Review and Meta-Analysis.
    AJR Am J Roentgenol. 2020 Jul 29. doi: 10.2214/AJR.20.23835.
    PubMed     Abstract available


  33. MORTANI BARBOSA EJ JR, Yang R, Hershman M
    Real World Lung Cancer CT Screening Performance, Smoking Behavior, and Adherence to Recommendations: Lung-RADS Category and Smoking Status Predict Adherence.
    AJR Am J Roentgenol. 2020 Jul 15. doi: 10.2214/AJR.20.23637.
    PubMed     Abstract available


    June 2020
  34. LI Q, Li X, Li XY, Huo JW, et al
    Spectral CT in Lung Cancer: Usefulness of Iodine Concentration for Evaluation of Tumor Angiogenesis and Prognosis.
    AJR Am J Roentgenol. 2020 Jun 22:1-8. doi: 10.2214/AJR.19.22688.
    PubMed     Abstract available


  35. BANKS KP, Peacock JG, Gusman M, Clemenshaw MN, et al
    It's About Quality, Not Quantity: Qualitative FDG PET/CT Criteria for Therapy Response Assessment in Clinical Practice.
    AJR Am J Roentgenol. 2020 Jun 17:1-12. doi: 10.2214/AJR.19.22642.
    PubMed     Abstract available


    April 2020
  36. TAU N, Stundzia A, Yasufuku K, Hussey D, et al
    Convolutional Neural Networks in Predicting Nodal and Distant Metastatic Potential of Newly Diagnosed Non-Small Cell Lung Cancer on FDG PET Images.
    AJR Am J Roentgenol. 2020 Apr 29:1-6. doi: 10.2214/AJR.19.22346.
    PubMed     Abstract available


  37. CHU ZG, Li WJ, Fu BJ, Lv FJ, et al
    CT Characteristics for Predicting Invasiveness in Pulmonary Pure Ground-Glass Nodules.
    AJR Am J Roentgenol. 2020 Apr 29:1-8. doi: 10.2214/AJR.19.22381.
    PubMed     Abstract available


  38. SORENSEN L, Nielsen M, Petersen J, Pedersen JH, et al
    Chronic Obstructive Pulmonary Disease Quantification Using CT Texture Analysis and Densitometry: Results From the Danish Lung Cancer Screening Trial.
    AJR Am J Roentgenol. 2020 Apr 7:1-11. doi: 10.2214/AJR.19.22300.
    PubMed     Abstract available


    January 2020
  39. ONISHI Y, Kusumoto M, Motoi N, Watanabe H, et al
    Ciliated Muconodular Papillary Tumor of the Lung: Thin-Section CT Findings of 16 Cases.
    AJR Am J Roentgenol. 2020 Jan 22:1-5. doi: 10.2214/AJR.19.21945.
    PubMed     Abstract available


    December 2019
  40. SUH YJ, Park CM, Han K, Jeon SK, et al
    Utility of FDG PET/CT for Preoperative Staging of Non-Small Cell Lung Cancers Manifesting as Subsolid Nodules With a Solid Portion of 3 cm or Smaller.
    AJR Am J Roentgenol. 2019 Dec 17:1-9. doi: 10.2214/AJR.19.21811.
    PubMed     Abstract available


    November 2019
  41. SHAO X, Niu R, Jiang Z, Shao X, et al
    Role of PET/CT in Management of Early Lung Adenocarcinoma.
    AJR Am J Roentgenol. 2019 Nov 12:1-9. doi: 10.2214/AJR.19.21585.
    PubMed     Abstract available


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