Robert Nishikawa

Summary

Affiliation: University of Chicago
Country: USA

Publications

  1. doi Estimating sensitivity and specificity for technology assessment based on observer studies
    Robert M Nishikawa
    Department of Radiology, The University of Chicago, 5841 South Maryland Avenue, MC 2026, Chicago, IL 60637, USA
    Acad Radiol 20:825-30. 2013
  2. doi Clinically missed cancer: how effectively can radiologists use computer-aided detection?
    Robert M Nishikawa
    Carl J Vyborny Translational Laboratory for Breast Cancer Research, Department of Radiology, University of Chicago, 5841 S Maryland Ave, MC 2026, Chicago, IL 60637, USA
    AJR Am J Roentgenol 198:708-16. 2012
  3. pmc Comparison of soft-copy and hard-copy reading for full-field digital mammography
    Robert M Nishikawa
    Carl J Vyborny Translation Laboratory for Breast Imaging Research, Department of Radiology, University of Chicago, 5841 S Maryland Ave, MC 2026, Chicago, IL 60637, USA
    Radiology 251:41-9. 2009
  4. ncbi Current status and future directions of computer-aided diagnosis in mammography
    Robert M Nishikawa
    Carl J Vyborny Translational Laboratory for Breast Imaging Research, Department of Radiology and Committee on Medical Physics, The University of Chicago, 5841 S Maryland Avenue, MC 2026, Chicago, IL 60637 1463, USA
    Comput Med Imaging Graph 31:224-35. 2007
  5. ncbi Computer-aided detection, in its present form, is not an effective aid for screening mammography. For the proposition
    Robert M Nishikawa
    The University of Chicago, Chicago, Illinois 60637, USA
    Med Phys 33:811-2. 2006
  6. ncbi Relevance vector machine for automatic detection of clustered microcalcifications
    Liyang Wei
    Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL 60616, USA
    IEEE Trans Med Imaging 24:1278-85. 2005
  7. ncbi A support vector machine approach for detection of microcalcifications
    Issam El-Naqa
    Department of Electrical and Computer Engineering, Illinois Institute of Technology, Chicago, IL 60616, USA
    IEEE Trans Med Imaging 21:1552-63. 2002
  8. ncbi A study on several machine-learning methods for classification of malignant and benign clustered microcalcifications
    Liyang Wei
    Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL 60616, USA
    IEEE Trans Med Imaging 24:371-80. 2005
  9. ncbi Comparison of independent double readings and computer-aided diagnosis (CAD) for the diagnosis of breast calcifications
    Yulei Jiang
    Department of Radiology, The University of Chicago, 5841 South Maryland Avenue, Chicago, IL 60637
    Acad Radiol 13:84-94. 2006
  10. doi Contrast enhancement of hepatic hemangiomas on multiphase MDCT: Can we diagnose hepatic hemangiomas by comparing enhancement with blood pool?
    Aytekin Oto
    Department of Radiology, The University of Chicago, IL 60637, USA
    AJR Am J Roentgenol 195:381-6. 2010

Research Grants

  1. High-Performance Computer Cluster for Image Analysis
    Robert Nishikawa; Fiscal Year: 2007
  2. Using CAD As A Surrogate Reader In Observer Studies
    Robert Nishikawa; Fiscal Year: 2006
  3. A Novel Method for Determining Image Similarity
    Robert Nishikawa; Fiscal Year: 2006
  4. Improving the softcopy reading of mammograms using CAD
    Robert Nishikawa; Fiscal Year: 2004
  5. COMPUTER-AIDED DIAGNOSIS IN DIGITAL MAMMOGRAPHY
    Robert Nishikawa; Fiscal Year: 2001
  6. Computerized Lesion Detection in Breast Tomosynthesis
    Robert Nishikawa; Fiscal Year: 2007

Detail Information

Publications21

  1. doi Estimating sensitivity and specificity for technology assessment based on observer studies
    Robert M Nishikawa
    Department of Radiology, The University of Chicago, 5841 South Maryland Avenue, MC 2026, Chicago, IL 60637, USA
    Acad Radiol 20:825-30. 2013
    ..The goal of this study was to determine the accuracy and precision of using scores from a receiver operating characteristic rating scale to estimate sensitivity and specificity...
  2. doi Clinically missed cancer: how effectively can radiologists use computer-aided detection?
    Robert M Nishikawa
    Carl J Vyborny Translational Laboratory for Breast Cancer Research, Department of Radiology, University of Chicago, 5841 S Maryland Ave, MC 2026, Chicago, IL 60637, USA
    AJR Am J Roentgenol 198:708-16. 2012
    ..The purpose of this study was to determine the effectiveness with which radiologists can use computer-aided detection (CADe) to detect cancer missed at screening...
  3. pmc Comparison of soft-copy and hard-copy reading for full-field digital mammography
    Robert M Nishikawa
    Carl J Vyborny Translation Laboratory for Breast Imaging Research, Department of Radiology, University of Chicago, 5841 S Maryland Ave, MC 2026, Chicago, IL 60637, USA
    Radiology 251:41-9. 2009
    ..To compare radiologists' performance in detecting breast cancer when reading full-field digital mammographic (FFDM) images either displayed on monitors or printed on film...
  4. ncbi Current status and future directions of computer-aided diagnosis in mammography
    Robert M Nishikawa
    Carl J Vyborny Translational Laboratory for Breast Imaging Research, Department of Radiology and Committee on Medical Physics, The University of Chicago, 5841 S Maryland Avenue, MC 2026, Chicago, IL 60637 1463, USA
    Comput Med Imaging Graph 31:224-35. 2007
    ..Clinically, CADe increases the number of cancers detected by approximately 10%, which is comparable to double reading by two radiologists...
  5. ncbi Computer-aided detection, in its present form, is not an effective aid for screening mammography. For the proposition
    Robert M Nishikawa
    The University of Chicago, Chicago, Illinois 60637, USA
    Med Phys 33:811-2. 2006
  6. ncbi Relevance vector machine for automatic detection of clustered microcalcifications
    Liyang Wei
    Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL 60616, USA
    IEEE Trans Med Imaging 24:1278-85. 2005
    ..26 s for a mammogram (nearly 35-fold reduction). Thus, the proposed RVM classifier is more advantageous for real-time processing of MC clusters in mammograms...
  7. ncbi A support vector machine approach for detection of microcalcifications
    Issam El-Naqa
    Department of Electrical and Computer Engineering, Illinois Institute of Technology, Chicago, IL 60616, USA
    IEEE Trans Med Imaging 21:1552-63. 2002
    ..The ability of SVM to out perform several well-known methods developed for the widely studied problem of MC detection suggests that SVM is a promising technique for object detection in a medical imaging application...
  8. ncbi A study on several machine-learning methods for classification of malignant and benign clustered microcalcifications
    Liyang Wei
    Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL 60616, USA
    IEEE Trans Med Imaging 24:371-80. 2005
    ..e., SVM, KFD, and RVM) yielded the best performance (Az = 0.85, SVM), significantly outperforming a well-established, clinically-proven CADx approach that is based on neural network (Az = 0.80)...
  9. ncbi Comparison of independent double readings and computer-aided diagnosis (CAD) for the diagnosis of breast calcifications
    Yulei Jiang
    Department of Radiology, The University of Chicago, 5841 South Maryland Avenue, Chicago, IL 60637
    Acad Radiol 13:84-94. 2006
    ..The aim of the study is to compare independent double readings by radiologists and computer-aided diagnosis (CAD) in diagnostic interpretation of mammographic calcifications...
  10. doi Contrast enhancement of hepatic hemangiomas on multiphase MDCT: Can we diagnose hepatic hemangiomas by comparing enhancement with blood pool?
    Aytekin Oto
    Department of Radiology, The University of Chicago, IL 60637, USA
    AJR Am J Roentgenol 195:381-6. 2010
    ..The purpose of this article is to determine whether enhancement of nodular foci within hemangiomas is homogeneous and matches blood vessels at different phases on contrast-enhanced MDCT...
  11. ncbi The hypervolume under the ROC hypersurface of "near-guessing" and "near-perfect" observers in N-class classification tasks
    Darrin C Edwards
    Department of Radiology, The University of Chicago, 5841 So Maryland Avenue, Chicago, IL 60637, USA
    IEEE Trans Med Imaging 24:293-9. 2005
    ..This suggests that hypervolume may not be a useful performance metric in N-class classification tasks for N > 2, despite the utility of the area under the ROC curve for two-class tasks...
  12. ncbi Radial gradient-based segmentation of mammographic microcalcifications: observer evaluation and effect on CAD performance
    Sophie Paquerault
    Department of Radiology, The University of Chicago, 5841 South Maryland Avenue, MC 2026, Chicago, Illinois 60637, USA
    Med Phys 31:2648-57. 2004
    ..86 with the proposed segmentation method, 0.80 with the region-growing method, and 0.83 with the watershed method...
  13. ncbi Identification of simulated microcalcifications in white noise and mammographic backgrounds
    Ingrid Reiser
    Department of Radiology, The University of Chicago, Chicago, Illinois 60637, USA
    Med Phys 33:2905-11. 2006
    ..The results indicate that human strategy in the discrimination task may be to match individual signal templates with the image individually, rather than to perform template matching between the expected difference template and the image...
  14. ncbi Estimating three-class ideal observer decision variables for computerized detection and classification of mammographic mass lesions
    Darrin C Edwards
    Department of Radiology, The University of Chicago, Chicago, Illinois 60637, USA
    Med Phys 31:81-90. 2004
    ....
  15. pmc Enhanced imaging of microcalcifications in digital breast tomosynthesis through improved image-reconstruction algorithms
    Emil Y Sidky
    Department of Radiology, University of Chicago, 5841 S Maryland Avenue Chicago, Illinois 60637, USA
    Med Phys 36:4920-32. 2009
    ..The authors develop a practical, iterative algorithm for image-reconstruction in undersampled tomographic systems, such as digital breast tomosynthesis (DBT)...
  16. ncbi Maximum likelihood fitting of FROC curves under an initial-detection-and-candidate-analysis model
    Darrin C Edwards
    Kurt Rossmann Laboratories for Radiologic Image Research, Department of Radiology, The University of Chicago, Chicago, Illinois 60637, USA
    Med Phys 29:2861-70. 2002
    ..Although developed primarily with computer vision schemes in mind, we hope that the methodology presented here will prove worthy of further study in other applications as well...
  17. pmc Independent evaluation of computer classification of malignant and benign calcifications in full-field digital mammograms
    Rich S Rana
    Department of Radiology, The University of Chicago, 5841 South Maryland Avenue, Chicago, IL 60637, USA
    Acad Radiol 14:363-70. 2007
    ..The present study evaluated the computer technique independently on a new database of FFDM images with automatic detection of the individual calcifications...
  18. ncbi Investigation of physical image quality indices of a bone densitometry system
    Joel R Wilkie
    Department of Radiology, The University of Chicago, 5841 South Maryland Avenue, Chicago, Illinois 60637, USA
    Med Phys 31:873-81. 2004
    ..6 cycles/mm for the CR system. Unlike the CR system, the NPS of the densitometry system was found not to be directionally dependent and did not drop off at higher spatial frequencies...
  19. ncbi Computer-aided screening mammography
    Robert M Nishikawa
    N Engl J Med 357:84; author reply 85. 2007
  20. ncbi A similarity learning approach to content-based image retrieval: application to digital mammography
    Issam El-Naqa
    Medical School of Washington University, St Louis, MO 63110, USA
    IEEE Trans Med Imaging 23:1233-44. 2004
    ....
  21. ncbi Independent versus sequential reading in ROC studies of computer-assist modalities: analysis of components of variance
    Sergey V Beiden
    Center for Devices and Radiological Health, Food and Drug Administration, Rockville, MD 20857, USA
    Acad Radiol 9:1036-43. 2002
    ..In the "independent" mode the readings are separated by about I month; in the "sequential" mode, the computer-assisted reading immediately follows the unassisted reading...

Research Grants14

  1. High-Performance Computer Cluster for Image Analysis
    Robert Nishikawa; Fiscal Year: 2007
    ..ology (ROC analysis) can lead to faster and cheaper implementation of the most promising of new medical advances, because evaluation studies can be designed that are more efficient and cost effe ..
  2. Using CAD As A Surrogate Reader In Observer Studies
    Robert Nishikawa; Fiscal Year: 2006
    ..This should reduce the cost and the time it takes new technologies or techniques to gain clinical acceptance. ..
  3. A Novel Method for Determining Image Similarity
    Robert Nishikawa; Fiscal Year: 2006
    ..A reduction in the number of "unnecessary" biopsies will reduce cost, and physical and mental trauma to patients. ..
  4. Improving the softcopy reading of mammograms using CAD
    Robert Nishikawa; Fiscal Year: 2004
    ..Improving the softcopy display is one step to realizing this potential. ..
  5. COMPUTER-AIDED DIAGNOSIS IN DIGITAL MAMMOGRAPHY
    Robert Nishikawa; Fiscal Year: 2001
    ..Using this information, the applicants proposed to develop an interface between the detection and classification schemes; and (5) To perform a preliminary clinical evaluation of the classification scheme. ..
  6. Computerized Lesion Detection in Breast Tomosynthesis
    Robert Nishikawa; Fiscal Year: 2007
    ..This should improve the detection of breast cancer - improved sensitivity and specificity - resulting in a reduction in breast cancer mortality and morbidity. ..