Denise R Aberle

Summary

Affiliation: University of California
Country: USA

Publications

  1. ncbi request reprint Description and implementation of a quality control program in an imaging-based clinical trial
    Christopher H Cagnon
    Department of Radiological Sciences, David Geffen School of Medicine at UCLA, BH 427D, CHS, 10833 LeConte Avenue, Los Angeles, CA 90095 1721, USA
    Acad Radiol 13:1431-41. 2006
  2. doi request reprint Results of the two incidence screenings in the National Lung Screening Trial
    Denise R Aberle
    Department of Radiological Sciences, David Geffen School of Medicine at the University of California at Los Angeles UCLA, Los Angeles, CA 90024, USA
    N Engl J Med 369:920-31. 2013
  3. pmc Integrating pathology and radiology disciplines: an emerging opportunity?
    James Sorace
    Office of Science and Data Policy, Office of the Assistant Secretary for Planning and Evaluation, US Department of Health and Human Services, 200 Independence Ave, SW Washington, DC 20201, USA
    BMC Med 10:100. 2012
  4. pmc Computed tomography screening for lung cancer: has it finally arrived? Implications of the national lung screening trial
    Denise R Aberle
    David Geffen School of Medicine at University of California, Los Angeles, Los Angeles, CA 90024, USA
    J Clin Oncol 31:1002-8. 2013
  5. doi request reprint Lung cancer screening with CT
    Denise R Aberle
    Department of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, 924 Westwood Boulevard, Suite 420, Los Angeles, CA 90024, USA
    Clin Chest Med 29:1-14, v. 2008
  6. ncbi request reprint Perspective on the STR consensus statement
    Denise R Aberle
    Radiological Sciences and Bioengineering Department, UCLA National Principal Investigator, ACRIN NLST, Los Angeles, CA 90024, USA
    J Thorac Imaging 20:322-3. 2005
  7. ncbi request reprint Computer-aided lung nodule detection in CT: results of large-scale observer test
    Matthew S Brown
    Thoracic Imaging Section, David Geffen School of Medicine at UCLA, 10833 Le Conte Avenue, Los Angeles, CA 90095, USA
    Acad Radiol 12:681-6. 2005
  8. ncbi request reprint Computer aided characterization of the solitary pulmonary nodule using volumetric and contrast enhancement features
    Sumit K Shah
    Department of Radiology, David Geffen School of Medicine at the University of California Los Angeles, Thoracic Imaging Research Group, 924 Westwood Blvd Suite 650, Box 957319, Los Angeles, CA 90095 7319, USA
    Acad Radiol 12:1310-9. 2005
  9. ncbi request reprint Computer-aided diagnosis of the solitary pulmonary nodule
    Sumit K Shah
    Department of Radiology, David Geffen School of Medicine at University of California Los Angeles, Thoracic Imaging Research Group, 924 Westwood Blvd, Suite 650, Box 957319, Los Angeles, CA 90095 7319, USA
    Acad Radiol 12:570-5. 2005
  10. pmc Pulmonary nodule characterization: a comparison of conventional with quantitative and visual semi-quantitative analyses using contrast enhancement maps
    Iva Petkovska
    Department of Radiological Sciences, David Geffen School of Medicine at University of California Los Angeles, Thoracic Imaging Research Group, Los Angeles, CA 90095 7319, USA
    Eur J Radiol 59:244-52. 2006

Detail Information

Publications38

  1. ncbi request reprint Description and implementation of a quality control program in an imaging-based clinical trial
    Christopher H Cagnon
    Department of Radiological Sciences, David Geffen School of Medicine at UCLA, BH 427D, CHS, 10833 LeConte Avenue, Los Angeles, CA 90095 1721, USA
    Acad Radiol 13:1431-41. 2006
    ....
  2. doi request reprint Results of the two incidence screenings in the National Lung Screening Trial
    Denise R Aberle
    Department of Radiological Sciences, David Geffen School of Medicine at the University of California at Los Angeles UCLA, Los Angeles, CA 90024, USA
    N Engl J Med 369:920-31. 2013
    ..We present detailed findings from the first two incidence screenings (rounds T1 and T2)...
  3. pmc Integrating pathology and radiology disciplines: an emerging opportunity?
    James Sorace
    Office of Science and Data Policy, Office of the Assistant Secretary for Planning and Evaluation, US Department of Health and Human Services, 200 Independence Ave, SW Washington, DC 20201, USA
    BMC Med 10:100. 2012
    ....
  4. pmc Computed tomography screening for lung cancer: has it finally arrived? Implications of the national lung screening trial
    Denise R Aberle
    David Geffen School of Medicine at University of California, Los Angeles, Los Angeles, CA 90024, USA
    J Clin Oncol 31:1002-8. 2013
    ..Considerations for future research to complement imaging-based screening to reduce the burden of lung cancer are discussed...
  5. doi request reprint Lung cancer screening with CT
    Denise R Aberle
    Department of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, 924 Westwood Boulevard, Suite 420, Los Angeles, CA 90024, USA
    Clin Chest Med 29:1-14, v. 2008
    ....
  6. ncbi request reprint Perspective on the STR consensus statement
    Denise R Aberle
    Radiological Sciences and Bioengineering Department, UCLA National Principal Investigator, ACRIN NLST, Los Angeles, CA 90024, USA
    J Thorac Imaging 20:322-3. 2005
  7. ncbi request reprint Computer-aided lung nodule detection in CT: results of large-scale observer test
    Matthew S Brown
    Thoracic Imaging Section, David Geffen School of Medicine at UCLA, 10833 Le Conte Avenue, Los Angeles, CA 90095, USA
    Acad Radiol 12:681-6. 2005
    ..The objective is to study the incremental effects of using a computer-aided lung nodule detection (CAD) system on the performance of a large pool of observers...
  8. ncbi request reprint Computer aided characterization of the solitary pulmonary nodule using volumetric and contrast enhancement features
    Sumit K Shah
    Department of Radiology, David Geffen School of Medicine at the University of California Los Angeles, Thoracic Imaging Research Group, 924 Westwood Blvd Suite 650, Box 957319, Los Angeles, CA 90095 7319, USA
    Acad Radiol 12:1310-9. 2005
    ....
  9. ncbi request reprint Computer-aided diagnosis of the solitary pulmonary nodule
    Sumit K Shah
    Department of Radiology, David Geffen School of Medicine at University of California Los Angeles, Thoracic Imaging Research Group, 924 Westwood Blvd, Suite 650, Box 957319, Los Angeles, CA 90095 7319, USA
    Acad Radiol 12:570-5. 2005
    ..We sought to investigate the utility of a computer-aided diagnosis in the task of differentiating malignant nodules from benign nodules based on single thin-section computed tomography image data...
  10. pmc Pulmonary nodule characterization: a comparison of conventional with quantitative and visual semi-quantitative analyses using contrast enhancement maps
    Iva Petkovska
    Department of Radiological Sciences, David Geffen School of Medicine at University of California Los Angeles, Thoracic Imaging Research Group, Los Angeles, CA 90095 7319, USA
    Eur J Radiol 59:244-52. 2006
    ..To determine whether conventional nodule densitometry or analysis based on contrast enhancement maps of indeterminate lung nodules imaged with contrast-enhanced CT can distinguish benign from malignant lung nodules...
  11. pmc The effect of lung volume on nodule size on CT
    Iva Petkovska
    Thoracic Imaging Research Group, Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, 924 Westwood Blvd, Suite 650, Box 957319, Los Angeles, CA 90095 7319, USA
    Acad Radiol 14:476-85. 2007
    ..We sought to determine how measures of nodule diameter and volume on computed tomography (CT) vary with changes in inspiratory level...
  12. ncbi request reprint Database design and implementation for quantitative image analysis research
    Matthew S Brown
    David Geffen School of Medicine, Department of Radiological Sciences, UCLA, Los Angeles, CA 90095, USA
    IEEE Trans Inf Technol Biomed 9:99-108. 2005
    ..The system can manage the large amounts of quantitative data necessary for research, development, and deployment of computer-aided diagnosis tools...
  13. pmc The Lung Image Database Consortium (LIDC) data collection process for nodule detection and annotation
    Michael F McNitt-Gray
    Department of Radiology, David Geffen School of Medicine at UCLA, Suite 650, 924 Westwood Blvd, Los Angeles, CA 90095 1721, USA
    Acad Radiol 14:1464-74. 2007
    ..This data collection process was also intended to capture the variability among readers...
  14. ncbi request reprint OpenSourcePACS: an extensible infrastructure for medical image management
    Alex A T Bui
    UCLA Medical Imaging Informatics Group, Los Angeles, CA 90024, USA
    IEEE Trans Inf Technol Biomed 11:94-109. 2007
    ..Ultimately, the goal of openSourcePACS is to promote the wide-scale development and usage of PACS and imaging applications within academic and research communities...
  15. pmc Baseline characteristics of participants in the randomized national lung screening trial
    Denise R Aberle
    Department of Radiological Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
    J Natl Cancer Inst 102:1771-9. 2010
    ..In this article, we present characteristics of the study population...
  16. ncbi request reprint TimeLine: visualizing integrated patient records
    Alex A T Bui
    UCLA Medical Imaging Informatics Group, Los Angeles, CA 90024, USA
    IEEE Trans Inf Technol Biomed 11:462-73. 2007
    ..A driving factor in the development of TimeLine was creating a foundation upon which new data types and the visualization metaphors could be readily incorporated...
  17. ncbi request reprint Solitary pulmonary nodule diagnosis on CT: results of an observer study
    Sumit K Shah
    Department of Radiology, David Geffen School of Medicine at University of California Los Angeles, Thoracic Imaging Research Group, 924 Westwood Blvd, Suite 650, Box 957319, Los Angeles, CA 90095 7319, USA
    Acad Radiol 12:496-501. 2005
    ....
  18. ncbi request reprint Postoperative complications of lung transplantation: radiologic findings along a time continuum
    Mayil S Krishnam
    Department of Radiological Sciences, David Geffen School of Medicine, University of California at Los Angeles, Peter V Ueberroth Bldg, Suite 3371, 10945 LeConte Ave, Los Angeles, CA 90095 7206, USA
    Radiographics 27:957-74. 2007
    ....
  19. ncbi request reprint Pulmonary neovascularity: a distinctive radiographic finding in Eisenmenger syndrome
    Ramon Sheehan
    Division of Thoracic Imaging, Department of Radiological Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095 1721, USA
    Circulation 112:2778-85. 2005
    ..We sought to characterize the distinctive pulmonary vascular abnormalities seen on chest radiographs and computed tomography (CT) scans in Eisenmenger syndrome...
  20. pmc An architecture for computer-aided detection and radiologic measurement of lung nodules in clinical trials
    Matthew S Brown
    Department of Radiological Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA
    Cancer Inform 4:25-31. 2007
    ..These studies demonstrate the potential of automated CAD tools to assist in quantitative image analysis for clinical trials...
  21. ncbi request reprint CAD in clinical trials: current role and architectural requirements
    Matthew S Brown
    UCLA, Department of Radiological Sciences, USA
    Comput Med Imaging Graph 31:332-7. 2007
    ..In this paper we describe the architectural requirements to incorporate CAD into clinical trials and illustrate their functionality in therapeutic trials for emphysema...
  22. ncbi request reprint Comparison of treatment response classifications between unidimensional, bidimensional, and volumetric measurements of metastatic lung lesions on chest computed tomography
    Lien N Tran
    Department of Radiological Sciences, David Geffen School of Medicine at UCLA, 10833 Le Conte Ave, B2 168, Center for the Health Sciences, Los Angeles, CA 90095 1721, USA
    Acad Radiol 11:1355-60. 2004
    ..To study the agreement in treatment response classifications between unidimensional (1D), bidimensional (2D), and volumetric (3D) methods of measuring metastatic lung nodules on chest computed tomography (CT)...
  23. pmc Imaging-based observational databases for clinical problem solving: the role of informatics
    Alex A T Bui
    Medical Imaging Informatics MII Group, Department of Radiological Sciences, UCLA David Geffen School of Medicine, Los Angeles, California, USA
    J Am Med Inform Assoc 20:1053-8. 2013
    ..The development of these databases and ensuing models can aid in medical decision making and knowledge discovery and ultimately, transform the use of imaging to support individually-tailored patient care...
  24. pmc Impact and costs of targeted recruitment of minorities to the National Lung Screening Trial
    Catherine Duda
    David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
    Clin Trials 8:214-23. 2011
    ..To promote results in the National Lung Screening Trial (NLST) that are generalizable across the entire US population, a subset of NLST sites developed dedicated strategies for minority recruitment...
  25. ncbi request reprint Automated medical problem list generation: towards a patient timeline
    Alex A T Bui
    Medical Informatics Group and Biomedical Informatics Center, University of California Los Angeles, 924 Westwood Boulevard, Los Angeles, CA 90024, USA
    Stud Health Technol Inform 107:587-91. 2004
    ..Preliminary evaluation of the generator revealed 100% recall, but only 60% precision. This initial work has highlighted several issues in defining a medical problem list, including questions of granularity and performance trade-offs...
  26. ncbi request reprint Imaging and cancer: research strategy of the American College of Radiology Imaging Network
    Denise R Aberle
    Department of Radiology of the University of California, Los Angeles, USA
    Radiology 235:741-51. 2005
    ..This article details ACRIN's research strategy according to disease site through the year 2007...
  27. ncbi request reprint Lung micronodules: automated method for detection at thin-section CT--initial experience
    Matthew S Brown
    Department of Radiology, David Geffen School of Medicine at UCLA, 10833 Le Conte Ave, Los Angeles, CA 90095 1721, USA
    Radiology 226:256-62. 2003
    ..With assistance from the automated system, these sensitivities increased to 95% and 74%, respectively. Preliminary results indicate that the automated system considerably improved the radiologist's performance in micronodule detection...
  28. ncbi request reprint Effect of an imaging-based streamlined electronic healthcare process on quality and costs
    Alex A T Bui
    From Medical Informatics Group, Department of Radiology, David Geffen School of Medicine, University of California at Los Angeles, 924 Westwood Blvd, Suite 420, Los Angeles, CA 90024, USA
    Acad Radiol 11:13-20. 2004
    ..This study examined the effect of an imaging-based electronic process of care on costs and rates of hospitalization, emergency room (ER) visits, specialist diagnostic referrals, and patient satisfaction...
  29. pmc The Lung Image Database Consortium (LIDC): an evaluation of radiologist variability in the identification of lung nodules on CT scans
    Samuel G Armato
    The University of Chicago, Department of Radiology, MC 2026, The University of Chicago, 5841 S Maryland Avenue, Chicago, IL 60637, USA
    Acad Radiol 14:1409-21. 2007
    ....
  30. pmc Evaluation of lung MDCT nodule annotation across radiologists and methods
    Charles R Meyer
    Department of Radiology, School of Medicine, University of Michigan, 109 Zina Pitcher Place, Ann Arbor, MI 48109 2200, USA
    Acad Radiol 13:1254-65. 2006
    ..Thus assessing the source of variability in defining the spatial location of lung nodules by expert radiologists using different software tools as an alternative form of truth is necessary...
  31. ncbi request reprint CT screening for lung cancer
    Christine D Berg
    N Engl J Med 356:743-4; author reply 746-7. 2007
  32. ncbi request reprint Large field trial for lung cancer screening: putting the wrong cart before the horse?
    William C Black
    Radiology 243:314-6; discussion 317-8. 2007
  33. ncbi request reprint Computed tomography screening for lung cancer
    Christine D Berg
    JAMA 298:513-4; author reply 515-6. 2007
  34. doi request reprint The partners--airflow obstruction, emphysema, and lung cancer
    Steven M Dubinett
    Am J Respir Crit Care Med 178:665-6. 2008
  35. ncbi request reprint Lung image database consortium: developing a resource for the medical imaging research community
    Samuel G Armato
    Department of Radiology, MC 2026, University of Chicago, 5841 S Maryland Ave, Chicago, IL 60637, USA
    Radiology 232:739-48. 2004
    ..This article is intended to share with the community the breadth and depth of these key issues...
  36. pmc The Lung Image Database Consortium (LIDC): a comparison of different size metrics for pulmonary nodule measurements
    Anthony P Reeves
    School of Electrical and Computer Engineering, Rhodes Hall, Cornell University, Ithaca, NY 14853, USA
    Acad Radiol 14:1475-85. 2007
    ....
  37. pmc The Lung Image Database Consortium (LIDC): ensuring the integrity of expert-defined "truth"
    Samuel G Armato
    Department of Radiology, The University of Chicago, MC 2026, The University of Chicago, 5841 S Maryland Avenue, Chicago, IL 60637, USA
    Acad Radiol 14:1455-63. 2007
    ....
  38. ncbi request reprint Evidence-based radiology: requirements for electronic access
    Alex A T Bui
    Department of Radiology, University of California at Los Angeles, 90024, USA
    Acad Radiol 9:662-9. 2002
    ..The purpose of this study was to determine the electronic requirements for supporting evidence-based radiology in today's medical environment...