Clinical application of S-Detect to breast masses on ultrasonography: a study evaluating the diagnostic performance and agreement with a dedicated breast radiologist

Purpose The purpose of this study was to evaluate the diagnostic performance of S-Detect when applied to breast ultrasonography (US), and the agreement with an experienced radiologist specializing in breast imaging. Methods From June to August 2015, 192 breast masses in 175 women were included. US f...

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Main Authors: Kiwook Kim, Mi Kyung Song, Eun-Kyung Kim, Jung Hyun Yoon
Format: Article
Language:English
Published: Korean Society of Ultrasound in Medicine 2017-01-01
Series:Ultrasonography
Subjects:
Online Access:http://e-ultrasonography.org/upload/usg-16012.pdf
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spelling doaj-6a3dc40e94794c36a9d72e445c421e7b2020-11-25T00:36:22ZengKorean Society of Ultrasound in MedicineUltrasonography2288-59192288-59432017-01-013613910.14366/usg.16012134Clinical application of S-Detect to breast masses on ultrasonography: a study evaluating the diagnostic performance and agreement with a dedicated breast radiologistKiwook Kim0Mi Kyung Song1Eun-Kyung Kim2Jung Hyun Yoon3 Department of Radiology, Severance Hospital, Research Institute of Radiological Science, Seoul, Korea Department of Research Affairs, Biostatistics Collaboration Unit, Yonsei University College of Medicine, Seoul, Korea Department of Radiology, Severance Hospital, Research Institute of Radiological Science, Seoul, Korea Department of Radiology, Severance Hospital, Research Institute of Radiological Science, Seoul, KoreaPurpose The purpose of this study was to evaluate the diagnostic performance of S-Detect when applied to breast ultrasonography (US), and the agreement with an experienced radiologist specializing in breast imaging. Methods From June to August 2015, 192 breast masses in 175 women were included. US features of the breast masses were retrospectively analyzed by a radiologist who specializes in breast imaging and S-Detect, according to the fourth edition of the American College of Radiology Breast Imaging Reporting and Data System lexicon and final assessment categories. Final assessments from S-Detect were in dichotomized form: possibly benign and possibly malignant. Kappa statistics were used to analyze the agreement between the radiologist and S-Detect. Diagnostic performance of the radiologist and S-Detect was calculated, including sensitivity, specificity, positive predictive value (PPV), negative predictive value, accuracy, and area under the receiving operator characteristics curve. Results Of the 192 breast masses, 72 (37.5%) were malignant, and 120 (62.5%) were benign. Benign masses among category 4a had higher rates of possibly benign assessment on S-Detect for the radiologist, 63.5% to 36.5%, respectively (P=0.797). When the cutoff was set at category 4a, the specificity, PPV, and accuracy was significantly higher in S-Detect compared to the radiologist (all P<0.05), with a higher area under the receiver operator characteristics curve of 0.725 compared to 0.653 (P=0.038). Moderate agreement (k=0.58) was seen in the final assessment between the radiologist and S-Detect. Conclusion S-Detect may be used as an additional diagnostic tool to improve the specificity of breast US in clinical practice, and guide in decision making for breast masses detected on US.http://e-ultrasonography.org/upload/usg-16012.pdfBreastUltrasonographyNeoplasmsBI-RADSDiagnosis, computer-aided
collection DOAJ
language English
format Article
sources DOAJ
author Kiwook Kim
Mi Kyung Song
Eun-Kyung Kim
Jung Hyun Yoon
spellingShingle Kiwook Kim
Mi Kyung Song
Eun-Kyung Kim
Jung Hyun Yoon
Clinical application of S-Detect to breast masses on ultrasonography: a study evaluating the diagnostic performance and agreement with a dedicated breast radiologist
Ultrasonography
Breast
Ultrasonography
Neoplasms
BI-RADS
Diagnosis, computer-aided
author_facet Kiwook Kim
Mi Kyung Song
Eun-Kyung Kim
Jung Hyun Yoon
author_sort Kiwook Kim
title Clinical application of S-Detect to breast masses on ultrasonography: a study evaluating the diagnostic performance and agreement with a dedicated breast radiologist
title_short Clinical application of S-Detect to breast masses on ultrasonography: a study evaluating the diagnostic performance and agreement with a dedicated breast radiologist
title_full Clinical application of S-Detect to breast masses on ultrasonography: a study evaluating the diagnostic performance and agreement with a dedicated breast radiologist
title_fullStr Clinical application of S-Detect to breast masses on ultrasonography: a study evaluating the diagnostic performance and agreement with a dedicated breast radiologist
title_full_unstemmed Clinical application of S-Detect to breast masses on ultrasonography: a study evaluating the diagnostic performance and agreement with a dedicated breast radiologist
title_sort clinical application of s-detect to breast masses on ultrasonography: a study evaluating the diagnostic performance and agreement with a dedicated breast radiologist
publisher Korean Society of Ultrasound in Medicine
series Ultrasonography
issn 2288-5919
2288-5943
publishDate 2017-01-01
description Purpose The purpose of this study was to evaluate the diagnostic performance of S-Detect when applied to breast ultrasonography (US), and the agreement with an experienced radiologist specializing in breast imaging. Methods From June to August 2015, 192 breast masses in 175 women were included. US features of the breast masses were retrospectively analyzed by a radiologist who specializes in breast imaging and S-Detect, according to the fourth edition of the American College of Radiology Breast Imaging Reporting and Data System lexicon and final assessment categories. Final assessments from S-Detect were in dichotomized form: possibly benign and possibly malignant. Kappa statistics were used to analyze the agreement between the radiologist and S-Detect. Diagnostic performance of the radiologist and S-Detect was calculated, including sensitivity, specificity, positive predictive value (PPV), negative predictive value, accuracy, and area under the receiving operator characteristics curve. Results Of the 192 breast masses, 72 (37.5%) were malignant, and 120 (62.5%) were benign. Benign masses among category 4a had higher rates of possibly benign assessment on S-Detect for the radiologist, 63.5% to 36.5%, respectively (P=0.797). When the cutoff was set at category 4a, the specificity, PPV, and accuracy was significantly higher in S-Detect compared to the radiologist (all P<0.05), with a higher area under the receiver operator characteristics curve of 0.725 compared to 0.653 (P=0.038). Moderate agreement (k=0.58) was seen in the final assessment between the radiologist and S-Detect. Conclusion S-Detect may be used as an additional diagnostic tool to improve the specificity of breast US in clinical practice, and guide in decision making for breast masses detected on US.
topic Breast
Ultrasonography
Neoplasms
BI-RADS
Diagnosis, computer-aided
url http://e-ultrasonography.org/upload/usg-16012.pdf
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