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Title: Comparative performance of multiview stereoscopic and mammographic display modalities for breast lesion detection

Abstract

Purpose: Mammography is known to be one of the most difficult radiographic exams to interpret. Mammography has important limitations, including the superposition of normal tissue that can obscure a mass, chance alignment of normal tissue to mimic a true lesion and the inability to derive volumetric information. It has been shown that stereomammography can overcome these deficiencies by showing that layers of normal tissue lay at different depths. If standard stereomammography (i.e., a single stereoscopic pair consisting of two projection images) can significantly improve lesion detection, how will multiview stereoscopy (MVS), where many projection images are used, compare to mammography? The aim of this study was to assess the relative performance of MVS compared to mammography for breast mass detection. Methods: The MVS image sets consisted of the 25 raw projection images acquired over an arc of approximately 45 deg. using a Siemens prototype breast tomosynthesis system. The mammograms were acquired using a commercial Siemens FFDM system. The raw data were taken from both of these systems for 27 cases and realistic simulated mass lesions were added to duplicates of the 27 images at the same local contrast. The images with lesions (27 mammography and 27 MVS) and the imagesmore » without lesions (27 mammography and 27 MVS) were then postprocessed to provide comparable and representative image appearance across the two modalities. All 108 image sets were shown to five full-time breast imaging radiologists in random order on a state-of-the-art stereoscopic display. The observers were asked to give a confidence rating for each image (0 for lesion definitely not present, 100 for lesion definitely present). The ratings were then compiled and processed using ROC and variance analysis. Results: The mean AUC for the five observers was 0.614{+-}0.055 for mammography and 0.778{+-}0.052 for multiview stereoscopy. The difference of 0.164{+-}0.065 was statistically significant with a p-value of 0.0148. Conclusions: The differences in the AUCs and the p-value suggest that multiview stereoscopy has a statistically significant advantage over mammography in the detection of simulated breast masses. This highlights the dominance of anatomical noise compared to quantum noise for breast mass detection. It also shows that significant lesion detection can be achieved with MVS without any of the artifacts associated with tomosynthesis.« less

Authors:
; ; ; ; ; ; ;  [1]
  1. Medical Physics Graduate Program, Carl E. Ravin Advanced Imaging Laboratories, Duke University, Durham, North Carolina 27705 (United States)
Publication Date:
OSTI Identifier:
22096969
Resource Type:
Journal Article
Journal Name:
Medical Physics
Additional Journal Information:
Journal Volume: 38; Journal Issue: 4; Other Information: (c) 2011 American Association of Physicists in Medicine; Country of input: International Atomic Energy Agency (IAEA); Journal ID: ISSN 0094-2405
Country of Publication:
United States
Language:
English
Subject:
60 APPLIED LIFE SCIENCES; BIOMEDICAL RADIOGRAPHY; COMPARATIVE EVALUATIONS; COMPUTERIZED TOMOGRAPHY; IMAGE PROCESSING; IMAGES; MAMMARY GLANDS; NEOPLASMS; NOISE; PERFORMANCE; SIMULATION; STANDARDS

Citation Formats

Webb, Lincoln J., Samei, Ehsan, Lo, Joseph Y., Baker, Jay A., Ghate, Sujata V., Kim, Connie, Soo, Mary Scott, Walsh, Ruth, Department of Radiology, Medical Physics Graduate Program, and Department of Biomedical Engineering, Carl E. Ravin Advanced Imaging Laboratories, Duke University, Durham, North Carolina 27705, Department of Radiology, Carl E. Ravin Advanced Imaging Laboratories, Duke University, Durham, North Carolina 27705, and Department of Radiology, Duke University Medical Center, Durham, North Carolina 27710. Comparative performance of multiview stereoscopic and mammographic display modalities for breast lesion detection. United States: N. p., 2011. Web. doi:10.1118/1.3562901.
Webb, Lincoln J., Samei, Ehsan, Lo, Joseph Y., Baker, Jay A., Ghate, Sujata V., Kim, Connie, Soo, Mary Scott, Walsh, Ruth, Department of Radiology, Medical Physics Graduate Program, and Department of Biomedical Engineering, Carl E. Ravin Advanced Imaging Laboratories, Duke University, Durham, North Carolina 27705, Department of Radiology, Carl E. Ravin Advanced Imaging Laboratories, Duke University, Durham, North Carolina 27705, & Department of Radiology, Duke University Medical Center, Durham, North Carolina 27710. Comparative performance of multiview stereoscopic and mammographic display modalities for breast lesion detection. United States. https://doi.org/10.1118/1.3562901
Webb, Lincoln J., Samei, Ehsan, Lo, Joseph Y., Baker, Jay A., Ghate, Sujata V., Kim, Connie, Soo, Mary Scott, Walsh, Ruth, Department of Radiology, Medical Physics Graduate Program, and Department of Biomedical Engineering, Carl E. Ravin Advanced Imaging Laboratories, Duke University, Durham, North Carolina 27705, Department of Radiology, Carl E. Ravin Advanced Imaging Laboratories, Duke University, Durham, North Carolina 27705, and Department of Radiology, Duke University Medical Center, Durham, North Carolina 27710. 2011. "Comparative performance of multiview stereoscopic and mammographic display modalities for breast lesion detection". United States. https://doi.org/10.1118/1.3562901.
@article{osti_22096969,
title = {Comparative performance of multiview stereoscopic and mammographic display modalities for breast lesion detection},
author = {Webb, Lincoln J. and Samei, Ehsan and Lo, Joseph Y. and Baker, Jay A. and Ghate, Sujata V. and Kim, Connie and Soo, Mary Scott and Walsh, Ruth and Department of Radiology, Medical Physics Graduate Program, and Department of Biomedical Engineering, Carl E. Ravin Advanced Imaging Laboratories, Duke University, Durham, North Carolina 27705 and Department of Radiology, Carl E. Ravin Advanced Imaging Laboratories, Duke University, Durham, North Carolina 27705 and Department of Radiology, Duke University Medical Center, Durham, North Carolina 27710},
abstractNote = {Purpose: Mammography is known to be one of the most difficult radiographic exams to interpret. Mammography has important limitations, including the superposition of normal tissue that can obscure a mass, chance alignment of normal tissue to mimic a true lesion and the inability to derive volumetric information. It has been shown that stereomammography can overcome these deficiencies by showing that layers of normal tissue lay at different depths. If standard stereomammography (i.e., a single stereoscopic pair consisting of two projection images) can significantly improve lesion detection, how will multiview stereoscopy (MVS), where many projection images are used, compare to mammography? The aim of this study was to assess the relative performance of MVS compared to mammography for breast mass detection. Methods: The MVS image sets consisted of the 25 raw projection images acquired over an arc of approximately 45 deg. using a Siemens prototype breast tomosynthesis system. The mammograms were acquired using a commercial Siemens FFDM system. The raw data were taken from both of these systems for 27 cases and realistic simulated mass lesions were added to duplicates of the 27 images at the same local contrast. The images with lesions (27 mammography and 27 MVS) and the images without lesions (27 mammography and 27 MVS) were then postprocessed to provide comparable and representative image appearance across the two modalities. All 108 image sets were shown to five full-time breast imaging radiologists in random order on a state-of-the-art stereoscopic display. The observers were asked to give a confidence rating for each image (0 for lesion definitely not present, 100 for lesion definitely present). The ratings were then compiled and processed using ROC and variance analysis. Results: The mean AUC for the five observers was 0.614{+-}0.055 for mammography and 0.778{+-}0.052 for multiview stereoscopy. The difference of 0.164{+-}0.065 was statistically significant with a p-value of 0.0148. Conclusions: The differences in the AUCs and the p-value suggest that multiview stereoscopy has a statistically significant advantage over mammography in the detection of simulated breast masses. This highlights the dominance of anatomical noise compared to quantum noise for breast mass detection. It also shows that significant lesion detection can be achieved with MVS without any of the artifacts associated with tomosynthesis.},
doi = {10.1118/1.3562901},
url = {https://www.osti.gov/biblio/22096969}, journal = {Medical Physics},
issn = {0094-2405},
number = 4,
volume = 38,
place = {United States},
year = {Fri Apr 15 00:00:00 EDT 2011},
month = {Fri Apr 15 00:00:00 EDT 2011}
}