Journals / Erciyes Medical Journal / 2022 / Cilt: 44 - Sayı: 2

Breast Imaging for Non-radiologists

Pages
129–137
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)

This narrative review examines imaging modalities (MG, US, and MRI), pathology, breast carcinoma screening, axilla and male breast cancer for specialists other than radiologists, such as residents and students.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Breast carcinoma is the most frequent malignant tumor among women worldwide, and the incidence is increasing in Turkey.
📊
Key Findings & Data:Screening with imaging modalities can provide early and accurate identification, and result in a lower treatment burden.
💡
Conclusion & Impact:This narrative review examines imaging modalities (MG, US, and MRI), pathology, breast carcinoma screening, axilla and male breast cancer for specialists other than radiologists, such as residents and students.
🔬Design:Review & Systematic Survey
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

Breast carcinoma is the most frequent malignant tumor among women worldwide, and the incidence is increasing in Turkey. Screening with imaging modalities can provide early and accurate identification, and result in a lower treatment burden. While mammography (MG) and ultrasonography (US) continue to be the principal imaging methods, breast magnetic resonance imaging (MRI) is a more advanced imaging tool. This narrative review examines imaging modalities (MG, US, and MRI), pathology, breast carcinoma screening, axilla and male breast cancer for specialists other than radiologists, such as residents and students.

🔖

Cite This Article

SUBAŞI, I. D. (2022). Breast Imaging for Non-radiologists. Erciyes Medical Journal, Cilt: 44 - Sayı: 2, 129–137. https://ajindex.com/articles/502145

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (14)

  1. Özmen V, Özmen T, Doğru V. Breast cancer in Turkey; An analysis of 20.000 patients with breast cancer. Eur J Breast Health 2019; 15(3): 141–6
  2. Hofvind S, Ursin G, Tretli S, Sebuødegård S, Møller B. Breast cancer mortality in participants of the Norwegian Breast Cancer Screening Program. Cancer 2013; 119(17): 3106–12
  3. Karim MO, Khan KA, Khan AJ, Javed A, Fazid S, Aslam MI. Triple assessment of breast lump: should we perform core biopsy for every patient?. Cureus 2020; 12(3): e7479
  4. Gilbert FJ, Pinker-Domenig K. Diagnosis and staging of breast cancer: when and how to use mammography, tomosynthesis, ultrasound, contrast-enhanced mammography, and magnetic resonance imaging. In: Hodler J, Kubik-Huch RA, von Schulthess GK, editors. Diseases of the chest, breast, heart and vessels 2019-2022: diagnostic and interventional imaging. Cham (CH): Springer; 2019.p.155– 66
  5. Fausto AM, Lopes MC, de Sousa MC, Furquim TA, Mol AW, Velasco FG. Optimization of ımage quality and dose in digital mammography. J Digit Imaging 2017; 30(2): 185–96
  6. Holley SO. Breast imaging. In: Birchard KR, Busireddy KR, Semelka RC, editors. Critical observations in radiology for medical students. Wiley-Blackwell; 2015.p.201–11
  7. Chen JH, Gulsen G, Su MY. Imaging breast density: established and emerging modalities. Transl Oncol 2015; 8(6): 435–45
  8. Mackenzie A, Warren LM, Wallis MG, Given-Wilson RM, Cooke J, Dance DR, et al. The relationship between cancer detection in mammography and image quality measurements. Phys Med 2016; 32(4): 568–74
  9. Hooley RJ, Durand MA, Philpotts LE. Advances in digital breast tomosynthesis. AJR Am J Roentgenol 2017; 208(2): 256–66
  10. Mandoul C, Verheyden C, Millet I, Orliac C, Pages E, Thomassin I, et al. Breast tomosynthesis: What do we know and where do we stand? Diagn Interv Imaging 2019; 100(10): 537–51
  11. Gilbert FJ, Tucker L, Young KC. Digital breast tomosynthesis (DBT): a review of the evidence for use as a screening tool. Clin Radiol 2016; 71(2): 141–50
  12. Taskin F. Dijital meme tomosentezi ve kontrastlı mamografi. TRD Sem 2014; 2: 182–91
  13. Gilbert FJ, Tucker L, Gillan MG, Willsher P, Cooke J, Duncan KA, et al. Accuracy of digital breast tomosynthesis for depicting breast cancer subgroups in a UK retrospective reading study (TOMMY Trial). Radiology 2015; 277(3): 697–706
  14. Perry H, Phillips J, Dialani V, Slanetz PJ, Fein-Zachary VJ, Karimova EJ, et al. Contrast-enhanced mammography: A systematic guide to ınterpretation a