کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
1760656 | 1019620 | 2014 | 10 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Comparison of Diffuse Optical Tomography, Ultrasound Elastography and Mammography in the Diagnosis of Breast Tumors
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
فیزیک و نجوم
آکوستیک و فرا صوت
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Comparison of Diffuse Optical Tomography, Ultrasound Elastography and Mammography in the Diagnosis of Breast Tumors Comparison of Diffuse Optical Tomography, Ultrasound Elastography and Mammography in the Diagnosis of Breast Tumors](/preview/png/1760656.png)
چکیده انگلیسی
Previous studies have reported the usefulness of diffuse optical tomography (DOT), ultrasound elastography (UE) and mammography in differentiating breast tumors. This study was aimed at evaluating and comparing DOT, UE and mammography with respect to their diagnostic performance in differentiating benign and malignant breast tumors. Of the 67 tumors, 45 were histopathologically benign, and 22 were malignant. UE was the most specific (93.33%) of the three diagnostics modalities. DOT and UE were both more accurate (80.60% and 89.55%, respectively) than mammography (63.08%). UEÂ + mammography (93.33% and 91.04%) and DOTÂ + mammography (77.78% and 82.09%) exhibited higher specificity and accuracy, respectively, than mammography alone (57.78% and 63.08%). Receiver operating characteristic (ROC) curves were constructed to assess the performance of the modalities. In conclusion, UE and DOT were superior to conventional mammography in terms of both specificity and accuracy. DOT and UE improve the specificity and accuracy of breast cancer diagnosis, and combining the two modalities improves the diagnostic value.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Ultrasound in Medicine & Biology - Volume 40, Issue 1, January 2014, Pages 1-10
Journal: Ultrasound in Medicine & Biology - Volume 40, Issue 1, January 2014, Pages 1-10
نویسندگان
Haixian Zhang, Dongjing Qin, Zhi Yang, Kun Wang, Fang Sun, Baowei Li, Guanghe Cui,