Journals / Bakırköy Tıp Dergisi / 2020 / Cilt: 16 - Sayı: 3

Effectiveness of Sonoelastography and Diffusion MRI ADC Value In Discriminating Between Malignant and Benign Lesions of the Breast

Meme Kitlelerinin Malign Benign Ayırımında Sonoelastografi ve ADC Değerinin Etkinliği

Pages
203–211
Publication Date
2022-10-11
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Statistically significant correlation was found between the histopathological results and Tsukuba scoring system (p

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Objective: We aimed to evaluate the diagnostic value and comparison of sonoelastography and diffusion-weighted magnetic resonance imaging indifferentiation of benign and malignant breast masses.Method: Forty-five patients who were referred to our Radiology Department for the biopsy of a known breast mass following a breast MRI wereevaluated by sonoelastography using a 5-scaled Tsukuba scoring system and measurements of ADC values on diffusion weighted MRIs.
📊
Key Findings & Data:Contributionof the Tsukuba scores and ADC values of the masses to the conventional methods were evaluated.Results: Histopathological results of all masses with Tsukuba scores 1 and 2 were evaluated as benign.
💡
Conclusion & Impact:Statistically significant correlation was found between the histopathological results and Tsukuba scoring system (p
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

Objective: We aimed to evaluate the diagnostic value and comparison of sonoelastography and diffusion-weighted magnetic resonance imaging indifferentiation of benign and malignant breast masses.Method: Forty-five patients who were referred to our Radiology Department for the biopsy of a known breast mass following a breast MRI wereevaluated by sonoelastography using a 5-scaled Tsukuba scoring system and measurements of ADC values on diffusion weighted MRIs. Contributionof the Tsukuba scores and ADC values of the masses to the conventional methods were evaluated.Results: Histopathological results of all masses with Tsukuba scores 1 and 2 were evaluated as benign. Histopathological results of 37.5% of patientswith a Tsukuba score of 3 were found to be benign and 62.5% of the patients were found to be malignant. Histopathologically 80% of the patients with a Tsukuba score of 4 were evaluated to have malignant, while all (100 %) of the patients with a Tsukuba score of 5 were considered to have malignant disease. Statistically significant correlation was found between the histopathological results and Tsukuba scoring system (p

Özet

Amaç: Çalışmamızda meme kitlelerinin malign-benign ayırımında sonoelastografi ve difüzyon manyetik rezonans görüntüleme (MRG) tekniklerinin tanısal değerinin araştırılması ve karşılaştırılması amaçlanmıştır. Yöntem: Meme kitlesi nedeniyle Hastanemiz Radyoloji Kliniği’ne histopatolojik inceleme için başvuran hastalardan MRG tetkiki yapılmış olan 45 hastaya işlem öncesi beş puanlı ‘Tsukuba’ skorlama yöntemi kullanılarak sonoelastografik inceleme ve difüzyon MRG incelemelerinden “apparent diffusion coefficient” (ADC) ölçümleri yapıldı. Tsukuba skorlaması ve kitle ADC değerlerinin konvansiyonel yöntemlere katkıları değerlendirildi. Bulgular: Tsukuba skoru 1 ve 2 olan olguların tamamının histopatolojik inceleme sonucu benign değerlendirilmiştir. Tsukuba skoru 3 olan olguların %37,5’inin histopatoloji sonucu malign, %62,5’inin benign olarak saptanmıştır. Tsukuba skoru 4 olan olguların %80’inin patoloji sonucu malign iken, Tsukuba skoru 5 olan olguların %100’ü malign değerlendirilmiştir. Histopatoloji sonucu ile Tsukuba skorlaması arasında istatistiksel olarak anlamlı bir uyum bulunmaktadır (p

🔖

Cite This Article

DENİZ, M. A., DENİZ, Z. T., OYSU, A. S., BUKTE, Y., MAÇİN, S., SARICA, Ö. (2022). Effectiveness of Sonoelastography and Diffusion MRI ADC Value In Discriminating Between Malignant and Benign Lesions of the Breast. Bakırköy Tıp Dergisi, Cilt: 16 - Sayı: 3, 203–211. https://ajindex.com/articles/460039

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (13)

  1. Denise RA, Caroline C, Bruce JH, et al. Imaging and cancer: Research strategy of the American College of Radiology Imaging Network. Radiology. 2005;235(3):741-51.
  2. Leung JWT. Screening mammography reduced morbidity of breast cancer treatment. AJR Am J Roentgenol. 2005;184(5): 1508-9.
  3. Mahesh M. Digital mammography: An overview. Radiographics. 2004;24(6):1747-60.
  4. Zhi H, Xiao XY, Yang HY, et al. Semi-quantitating stiffness of breast solid lesions in ultrasonic elastography. Acad Radiol. 2008;15(11):1347-53.
  5. Thomas A, Degenhardt F, Farrokh A, Wojcinski S, Slowinski T, Fischer T. Significant differentiation of focal breast lesions: calculation of strain ratio in breast sonoelastography. Acad Radiol. 2010;17(5):558-63.
  6. Lyshchik A, Higashi T, Asato R, Tanaka S, Ito J, Mai JJ, et al. Thyroid gland tumor diagnosis at US elastography. Radiology. 2005;237(1):202-11.
  7. Vorländer C, Wolff J, Saalabian S, Lienenlüke RH, Wahl RA. Real-time ultrasound elastography-a noninvasive diagnostic procedure for evaluating dominant thyroid nodules. Langenbecks Arch Surg. 2010;395(7):865-71.
  8. Ning CP, Jiang SQ, Zhang T, Sun LT, Liu YJ, Tian JW. The value of strain ratio in differential diagnosis of solid nodules. Eur J Radiol. 2012;81(2):286-91.
  9. Rago T, Santini F, Scutari M, Pinchera A, Vitti P. Elastography: New developments in ultrasound for predicting malignancy in thyroid nodules. J Clin Endocrinol Metab. 2007;92(8):2917- 22.
  10. Yıldız MS, Goya C, Adin ME. Contribution of sonoelastography to diagnosis in distinguishing benign and malignant breast masses. J Ultrasound Med. 2020;39(7):1395-403.
  11. Cochlin DL, Ganatra RH, Griffiths DF. Elastography in the detection of prostatic cancer. Clin Radiol. 2002;57(11):1014- 20.
  12. Yerli H, Yılmaz T, Ural B, Gülay H. Solid meme kitlelerinin sonoelastografi ile değerlendirilmesinin tanısal önemi. Ulus Cerrahi Derg. 2013;29(2):67-71.
  13. Itoh A, Ueno E, Tohno E, et al. Breast disease: clinical application of US elastography for diagnosis. Radio