Literature DB >> 22799346

Diagnostic potential of strain ratio measurement and a 5 point scoring method for detection of breast cancer: Chinese experience.

Shyam Sundar Parajuly1, Peng Yu Lan, Ma Bu Yun, Yang Zhi Gang, Zhuang Hua.   

Abstract

AIM: To evaluate the differential diagnostic potential of lesion stiffness assessed by the sonoelastographic strain index ratio (SR) and elastographic color scoring system (UE) for breast lesions.
MATERIALS AND METHODS: Three hundred and forty two breast masses (158 benign and 184 malignant) from 325 consecutive patients (mean age 44.2 years; range 16-81)who had been scheduled for a sonographically guided core biopsy were examined with grey scale sonography,doppler sonography and sonoelastography. Each lesion was classified with ACR's BI-RADS assessment category (2, 3 and 4A=Benign and; 4B, 4C, 5=Malignant) and the 5-point scoring system proposed by Itoh et al, with scoring 1-3=benign and 4-5=malignant. Strain and area ratios of each lesion were calculated within the same machine. Histological diagnosis was used as the reference standard. The area under the curve (AUC) and cut-off point were obtained by receiver operating curve and the cross table Fischer Test was carried out for assessing diagnostic value. Sensitivity, specificity, PPV, NPV, accuracy and false-discovery rates were compared.
RESULTS: The mean strain ratios for benign and malignant lesions were 1.87 and 7.9 respectively. (P<0.0001). When a cutoff point of 3.54 was used, SR had a sensitivity of 94.6%, a specificity 94.3%, a PPV of 95.1%, an NPV of 93.7% and an accuracy of 94.4%. The AUC values were 0.90 for the 5 point scoring system (UE) and 0.96 for the strain index ratio. The overall diagnostic performance was SR method was better (P<0.05).
CONCLUSIONS: Strain ratio measurement could be another effective predictor in elastography imaging besides 5 the point scoring system for differential diagnosis of breast lesions.

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Year:  2012        PMID: 22799346     DOI: 10.7314/apjcp.2012.13.4.1447

Source DB:  PubMed          Journal:  Asian Pac J Cancer Prev        ISSN: 1513-7368


  11 in total

1.  Can strain elastography combined with ultrasound breast imaging reporting and data system be a more effective method in the differentiation of benign and malignant breast lesions?

Authors:  Serdar Arslan; Nihal Uslu; Funda Ulu Ozturk; Eda Yilmaz Akcay; Tugan Tezcaner; Ahmet Muhtesem Agildere
Journal:  J Med Ultrason (2001)       Date:  2017-02-02       Impact factor: 1.314

2.  Elastography ultrasound for breast lesions: fat-to-lesion strain ratio vs gland-to-lesion strain ratio.

Authors:  JianQiao Zhou; Chun Zhou; WeiWei Zhan; XiaoHong Jia; YiJie Dong; ZhiFang Yang
Journal:  Eur Radiol       Date:  2014-09-03       Impact factor: 5.315

3.  Efficacy of Sonoelastography in Distinguishing Benign from Malignant Breast Masses.

Authors:  Adile Balçık; Ahmet Veysel Polat; İlkay Koray Bayrak; Ayfer Kamalı Polat
Journal:  J Breast Health       Date:  2016-01-01

4.  Stiffness of the surrounding tissue of breast lesions evaluated by ultrasound elastography.

Authors:  JianQiao Zhou; WeiWei Zhan; YiJie Dong; ZhiFang Yang; Chun Zhou
Journal:  Eur Radiol       Date:  2014-04-05       Impact factor: 5.315

5.  Can strain elastography be used in reclassification of indeterminate breast lesions in BIRADS lexicon?: A prospective study.

Authors:  Dimpi Sinha; Nischal G Kundaragi; Sukrity Sharma; Sudhir K Kale
Journal:  Indian J Radiol Imaging       Date:  2021-01-13

6.  Utility of Ultrasound Strain Elastography to Differentiate Benign from Malignant Lesions of the Breast.

Authors:  Vikrant Kanagaraju; B Dhivya; B Devanand; V Maheswaran
Journal:  J Med Ultrasound       Date:  2020-09-05

7.  Added value of strain elastography in the characterisation of breast lesions: A prospective study.

Authors:  Dimpi Sinha; Sukrity Sharma; Nischal G Kundaragi; Sudhir Kumar Kale
Journal:  Ultrasound       Date:  2020-03-16

8.  Comparison of qualitative and semiquantitative strain elastography in breast lesions for diagnostic accuracy.

Authors:  Timothy Musila Mutala; Purity Ndaiga; Angeline Aywak
Journal:  Cancer Imaging       Date:  2016-05-26       Impact factor: 3.909

9.  Diagnostic accuracy of shear wave elastography for prediction of breast malignancy in patients with pathological nipple discharge.

Authors:  Xiaobo Guo; Ying Liu; Wanhu Li
Journal:  BMJ Open       Date:  2016-01-22       Impact factor: 2.692

10.  Diagnostic Value of Elastography, Strain Ratio, and Elasticity to B-Mode Ratio and Color Doppler Ultrasonography in Breast Lesions.

Authors:  Mahnaz Ranjkesh; Farid Hajibonabi; Fatemeh Seifar; Mohammad Kazem Tarzamni; Behzad Moradi; Zhila Khamnian
Journal:  Int J Gen Med       Date:  2020-05-25
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