Journals / Van Tıp Dergisi / 2019 / Cilt: 26 - Sayı: 1

Usefulness of Quantitative Diffusion Magnetic Resonance Imaging For The Differentiation of Malignant And Benign Lung Lesions

Akciğer Lezyonlarının Malign ve Benign Ayırımında Kantitatif Difüzyon Ağırlıklı Manyetik Rezonans Görüntülemenin Etkinliği

Pages
6–11
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)

Conclusion: Quantitative diffusion MR imaging may be used for differentiation of benign from malignant lung tumors.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Objective: To assess lung lesions with quantitative diffusion MR imaging.
📊
Key Findings & Data:Materials and Methods: We retrospectively evaluated 120 patients with pulmonary lesions undergoing diffusion-weighted MR imaging.
💡
Conclusion & Impact:Conclusion: Quantitative diffusion MR imaging may be used for differentiation of benign from malignant lung tumors.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

Objective: To assess lung lesions with quantitative diffusion MR imaging. Materials and Methods: We retrospectively evaluated 120 patients with pulmonary lesions undergoing diffusion-weighted MR imaging. The ADC values of lung lesions were calculated and correlated with biopsy results. Results: The ADC of benign lung lesions (2.03±0.09x10-3mm2/s) was significantly higher (P<0.001) than that of malignant lung tumors (1.11±0.25x10-3mm2/s). Selection of 1.37x10-3mm2/s as a cut-off point for differentiating malignant from benign lung lesions revealed an area under the curve of 0.94, an accuracy of 87.5 %, a sensitivity of 94.9 %, and a specificity of 73.1%. Conclusion: Quantitative diffusion MR imaging may be used for differentiation of benign from malignant lung tumors.

Özet

Amaç: Kantitatif difüzyon MR görüntüleme ile akciğer lezyonlarını değerlendirmek. Gereç ve Yöntem: Diffüz ağırlıklı MR görüntüleme yapılan, akciğer lezyonu olan 120 hasta retrospektif olarak değerlendirildi. Akciğer lezyonlarının görünür difüzyon katsayısı (ADC) değerleri hesaplandı ve biyopsi sonuçlarıyla korele edildi. Bulgular: Benign akciğer lezyonlarının ADC değeri (2.03±0.09x10-3mm2/s) malign akciğer lezyonlarına göre (1.11±0.25x10-3mm2/s) göre anlamlı derecede yüksekti (p<0,001). Kestirim değeri 1.37x10-3mm2/s alındığında malign ve benign akciğer lezyonlarının ayırımında eğrinin altında kalan alan 0,94, doğruluk % 87,5, duyarlılık % 94,9 ve özgüllük %73,1 bulundu. Sonuç: Kantitatif difüzyon MR görüntülemesi, benign ve malign akciğer tümörlerinin ayrımında kullanılabilir.

🔖

Cite This Article

ŞİMŞEK, C., POYRAZ, N. (2019). Usefulness of Quantitative Diffusion Magnetic Resonance Imaging For The Differentiation of Malignant And Benign Lung Lesions. Van Tıp Dergisi, Cilt: 26 - Sayı: 1, 6–11. https://ajindex.com/articles/334512

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (14)

  1. Torre LA, Bray F, Siegel RL, Ferlay J, LortetTieulent J, Jemal A. Global cancer statistics, 2012. CA Cancer J Clin 2015; 65(2): 87-108
  2. Bellomi M, Rampinelli C, Funicelli L, Veronesi G. Screening for lung cancer. Cancer Imaging 2006; 6: 9-12
  3. Bammer R. Basic principles of diffusionweighted imaging. Eur J Radiol 2003; 45(3): 169-184
  4. Patel MR, Siewert B, Warach S, Edelman RR. Diffusion and perfusion imaging techniques. Magn Reson Imaging Clin N Am 1995; 3(3): 425-438
  5. Chang SC, Lai PH, Chen WL, Weng HH, Ho JT, Wang JS, et al. Diffusion-weighted MRI features of brain abscess and cystic or necrotic brain tumors: comparison with conventional MRI. Clin Imaging 2002; 26(4): 227-236
  6. Gu J, Khong P-L, Wang S, Chan Q, Law W, Zhang J. AA Quantitative Assessment of Diffusion-Weighted MR Imaging in Patients with Primary Rectal Cancer: Correlation with FDG-PET/CT. Mol Imaging Biol 2011; 13(5): 1020-1028
  7. Guo Y, Cai Y-Q, Cai Z-L, Gao Y-G, An N-Y, Ma L, et al. Differentiation of clinically benign and malignant breast lesions using diffusionweighted imaging. J Magn Reson Imaging 2002; 16(2): 172-178
  8. Ichikawa T, Haradome H, Hachiya J, Nitatori T, Araki T. Diffusion-weighted MR imaging with a single-shot echoplanar sequence: Detection and characterization of focal hepatic lesions. Am J Roentgenol 1998; 170(2): 397-402
  9. McVeigh PZ, Syed AM, Milosevic M, Fyles A, Haider MA. Diffusion-weighted MRI in cervical cancer. Eur Radiol 2008; 18(5): 1058- 1064
  10. Naganawa S, Sato C, Kumada H, Ishigaki T, Miura S, Takizawa O. Apparent diffusion coefficient in cervical cancer of the uterus: Comparison with the normal uterine cervix. Eur Radiol 2005; 15(1): 71-78
  11. Taouli B, Vilgrain V, Dumont E, Daire J-L, Fan B, Menu Y. Evaluation of liver diffusion isotropy and characterization of focal hepatic lesions with two single-shot echo-planar MR imaging sequences: prospective study in 66 patients. Radiology 2003; 226(1): 71-78
  12. Coolen J, Vansteenkiste J, De Keyzer F, Decaluwé H, De Wever W, Deroose C, et al. Characterisation of solitary pulmonary lesions combining visual perfusion and quantitative diffusion MR imaging. Eur Radiol 2014; 24(2): 531-541
  13. Liu H, Liu Y, Yu T, Ye N. Usefulness of diffusion-weighted MR imaging in the evaluation of pulmonary lesions. Eur Radiol 2010; 20(4): 807-815
  14. Shen G, Jia Z, Deng H. Apparent diffusion coefficient values of diffusion-weighted imaging for distinguishing focal pulmonary lesions and characterizing the sub