Journals / Turkish Journal of Medical Sciences / 2021 / Cilt: 51 - Sayı: 6

Differentiation of benign and malignant superficial soft tissue lesions using real-time strain elastography

Pages
2959–2967
Publication Date
2022-11-06
DOI
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Our results suggest that RTSE can be used to predict malignancy since malignant lesions are more confidentially diagnosed than benign superficial soft tissue lesions on elastograms.Key words: Benign, malignant, cutaneous, subcutaneous, real-time strain elastography

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Objective & Hypothesis:Background/aim: To evaluate benign and malignant cutaneous-subcutaneous lesions using real-time strain elastography (RTSE) and to compare the findings with histopathologic results.
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Key Findings & Data:Materials and methods: Over a period of 10 months, 72 patients (38 with benign and 34 with malignant cutaneous and subcutaneous lesions) were prospectively included in this study.
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Conclusion & Impact:Our results suggest that RTSE can be used to predict malignancy since malignant lesions are more confidentially diagnosed than benign superficial soft tissue lesions on elastograms.Key words: Benign, malignant, cutaneous, subcutaneous, real-time strain elastography
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

Background/aim: To evaluate benign and malignant cutaneous-subcutaneous lesions using real-time strain elastography (RTSE) and to compare the findings with histopathologic results. Materials and methods: Over a period of 10 months, 72 patients (38 with benign and 34 with malignant cutaneous and subcutaneous lesions) were prospectively included in this study. Elasticity patterns and strain ratios were examined for each lesion. Lesions were evaluated in 4 groups as yellow-red (soft; pattern-1), green-yellow (moderate; pattern-2), blue-green (hard; pattern-3) and blue (hardest; pattern-4). The stiffness of the lesions was displayed with strain ratios by comparing of a nearby reference tissue. The recorded images were compared with histopathologic findings. Results: On sonoelastograms, considering patterns 1-2 as benign and patterns 3-4 as malignant, the sensitivity, specificity, and positive and negative predictive values for the differentiation of malignant from benign lesions were 100%, 68.5%, 74%, and 100%, respectively. Considering a cut-off value of the strain ratio as > 3.05, the sensitivity, specificity, and positive and negative predictive values were 91%, 89%, 88%, and 92%, respectively. The area under the curve (AUC: 0.972) showed the excellent ability of strain elastography to differentiate benign and malignant lesions. Conclusion: RTSE is an important imaging tool to differentiate benign and malignant superficial soft tissue lesions. Our results suggest that RTSE can be used to predict malignancy since malignant lesions are more confidentially diagnosed than benign superficial soft tissue lesions on elastograms.Key words: Benign, malignant, cutaneous, subcutaneous, real-time strain elastography

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Cite This Article

ADIYAMAN, N. S., CANYİĞİT, M., AKŞAM, E., ANNAÇ, G., TAN, S., ARSLAN, H. (2022). Differentiation of benign and malignant superficial soft tissue lesions using real-time strain elastography. Turkish Journal of Medical Sciences, Cilt: 51 - Sayı: 6, 2959–2967. https://ajindex.com/articles/609340

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References (12)

  1. Hu X, Huang X, Chen H, Zhang T, Hou J et al. Diagnostic effect of shear wave elastography imaging for differentiation of malignant liver lesions: a meta-analysis. BMC Gastroenterology 2019
  2. 19 (1): 60. doi: 10.1186/s12876-019-0976-2 2. Ferraioli G. Review of liver elastography guidelines. Journal of Ultrasound in Medicine 2019
  3. 38 (1): 9-14. doi: 10.1002/ jum.14856 3. Ophir J, Garra B, Kallel F, Konofagou E, Krouskop T et al. Elastographic imaging. Ultrasound in Medicine and Biology 2000
  4. 26 (1): 23-29. doi: 10.1016/s0301-5629(00)00156-3 4. Ophir J, Cespedes I, Ponnekanti H, Yazdi Y, Li X. Elastography: a quantitative method for imaging the elasticity of biological tissues. Ultrasonic Imaging 1991
  5. 13 (2): 111–134. doi: 10.1177/016173469101300201 5. Zaleska-Dorobisz U, Kaczorowski K, Pawluś A, Puchalska A, Inglot M. Ultrasound elastography- Review of techniques and its clinical applications. Advances in Clinical and Experimental Medicine 2014
  6. 23 (4): 645-655. doi: 10.17219/acem/26301 6. Krouskop TA, Wheeler TM, Kallel F, Garra BS, Hall T. Elastic moduli of breast and prostate tissues under compression. Ultrasonic Imaging 1998
  7. 20 (4): 260-274. doi: 10.1177/016173469802000403 7. Dudea SM, Botar-Jid C, Dumitriu D, Vasilescu D, Manole S et al. Differentiating benign from malignant superficial lymph nodes with sonoelastography. Medical Ultrasonography 2013
  8. 15 (2): 132-139. doi: 10.11152/mu.2013.2066.152.smd1cbj2 8. Wu CH, Chang KV, Mio S, Chen WS, Wang TG. Sonoelastography of the plantar fascia. Radiology 2011
  9. 259 (2): 502-507. doi: 10.1148/radiol.11101665 9. Baloji A, Chandra R, Bagri N, Misra R, Rajni K et al. Diagnostic accuracy of an integrated approach using conventional ultrasonography, and Doppler and strain elastography in the evaluation of superficial soft tissue lesions. Polish Journal of Radiology 2020
  10. doi: 10.5114/pjr.2020.96961 10. Onol S, Ozkaya O. Diagnostic Value of Real-Time Elastography in Diagnosing Lymph Node Metastasis of Skin Cancer. Cureus 2020
  11. 12 (10): 10997. doi: 10.7759/cureus.10997 11. Li A, Peng XJ, Ma Q, Dong Y, Mao CL et al. Diagnostic performance of conventional ultrasound and quantitative and qualitative real-time shear wave elastography in musculoskeletal soft tissue tumors. Journal of Orthopaedic Surgery and Research 2020
  12. 15 (1): 103. doi: 10.1186/s13018- 020-01620-x 12. Winn N, Baldwin J, Cassar-Pullicino V, Cool P, Ockendon M et al. Characterization of soft tissue tumours with ultrasound, shear wave ela