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| Presentation | 2009-01-19 13:45 Using Tumor Morphology to Classify Benign and Malignant Solid Breast Masses:Speckle Reduction Imaging (SRI) versus Non-SRI Ultrasound Imaging Hsien-Chang Chuang (Tunghai Univ.), Dar-Ren Chen (Changhua Christian Hospital), Yu-Len Huang (Tunghai Univ.)  MI2008-64 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In this paper, we attempted to compare the diagnostic performance of speckle reduction imaging (SRI) ultrasound and non-SRI ultrasound using sonographic technique to classify benign and malignant breast tumors by morphology. This study evaluated 110 breast lesions. A total of 72 benign and 38 malignant breast tumor images with pathologic proven cases were analyzed. The suspicious tumor contours on both SRI and non-SRI ultrasound images were manually sketched by experienced physicians. Twenty practical morphologic features from the extracted contour were calculated and a support vector machine (SVM) classifier identified the breast tumor as benign or malignant. Conventional binormal receiver operating characteristics (ROC) curve analysis used overall morphologic features from the breast lesions in SRI and non-SRI ultrasound. The area under the ROC curve (Az) was 0.8105 and 0.8241, respectively. This difference was not statistically significant (p = 0.343). The sensitivity was 78.9% and 84.2% (p = 0.554), respectively; the specificity was 73.6% and 70.8% (p = 0.881), respectively; the difference were not statistically significant. According to our study, both non-SRI and SRI methods are helpful to classify benign and malignant breast tumors by morphology, and the diagnostic performance is almost identical without statistical significance. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | speckle reduction imaging / breast sonography / tumor classification / tumor segmentation / support vector machine / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 108, no. 385, MI2008-64, pp. 33-36, Jan. 2009. | |
| Paper # | MI2008-64 | |
| Date of Issue | 2009-01-12 (MI) | |
| ISSN | Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | MI2008-64 |
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| Conference Information | |
| Committee | MI |
| Conference Date | 2009-01-19 - 2009-01-21 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | National Taiwan University |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Medical Imaging |
| Paper Information | |
| Registration To | MI |
| Conference Code | 2009-01-MI |
| Language | English |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Using Tumor Morphology to Classify Benign and Malignant Solid Breast Masses:Speckle Reduction Imaging (SRI) versus Non-SRI Ultrasound Imaging |
| Sub Title (in English) | |
| Keyword(1) | speckle reduction imaging |
| Keyword(2) | breast sonography |
| Keyword(3) | tumor classification |
| Keyword(4) | tumor segmentation |
| Keyword(5) | support vector machine |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Hsien-Chang Chuang |
| 1st Author's Affiliation | Tunghai University (Tunghai Univ.) |
| 2nd Author's Name | Dar-Ren Chen |
| 2nd Author's Affiliation | Changhua Christian Hospital (Changhua Christian Hospital) |
| 3rd Author's Name | Yu-Len Huang |
| 3rd Author's Affiliation | Tunghai University (Tunghai Univ.) |
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| Speaker | Author-1 |
| Date Time | 2009-01-19 13:45:00 |
| Presentation Time | 10 minutes |
| Registration for | MI |
| Paper # | MI2008-64 |
| Volume (vol) | vol.108 |
| Number (no) | no.385 |
| Page | pp.33-36 |
| #Pages | 4 |
| Date of Issue | 2009-01-12 (MI) |
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