DOI QR코드

DOI QR Code

Clinical Feasibility of Dual-Layer CT With Virtual Monochromatic Image for Preoperative Staging in Patients With Breast Cancer: A Comparison With Breast MRI

  • Bokdong Yeo (Department of Radiology, Kyungpook National University Hospital) ;
  • Kyung Min Shin (Department of Radiology, School of Medicine, Kyungpook National University, Kyungpook National University Chilgok Hospital) ;
  • Byunggeon Park (Department of Radiology, School of Medicine, Kyungpook National University, Kyungpook National University Chilgok Hospital) ;
  • Hye Jung Kim (Department of Radiology, School of Medicine, Kyungpook National University, Kyungpook National University Chilgok Hospital) ;
  • Won Hwa Kim (Department of Radiology, School of Medicine, Kyungpook National University, Kyungpook National University Chilgok Hospital)
  • Received : 2024.01.03
  • Accepted : 2024.07.12
  • Published : 2024.09.01

Abstract

Objective: Dual-layer CT (DLCT) can create virtual monochromatic images (VMIs) at various monochromatic X-ray energies, particularly at low keV levels, with high contrast-to-noise ratio. The purpose of this study was to assess the clinical feasibility of contrast-enhanced chest DLCT with a low keV VMI for preoperative breast cancer staging, in comparison to breast MRI. Materials and Methods: A total of 152 patients with 155 index breast cancers were enrolled in the study. VMIs were generated from contrast-enhanced chest DLCT at 40 keV and maximum intensity projection (MIP) with three-dimensional (3D) reconstruction was performed for both bilateral breast areas. Two radiologists reviewed in consensus the 3D MIP images of the chest DLCT with VMI and breast MRI in separate sessions with a 3-month wash-out period. The detection rate and mean tumor size of the index cancer were compared between the chest DLCT with VMI and breast MRI. Additionally, the agreement of tumor size measurement between the two imaging modalities were evaluated. Results: Of all index cancers, 84.5% (131/155) were detected in the chest DLCT with VMI, while 88.4% (137/155) were detected in the breast MRI (P = 0.210). The Bland-Altman agreement between the chest DLCT with VMI and breast MRI was a mean difference of -0.05 cm with 95% limits of agreement of -1.29 to 1.19 cm. The tumor size in the chest DLCT with VMI (2.3 ± 1.7 cm) was not significantly different from that in the breast MRI (2.4 ± 1.6 cm) (P = 0.106). Conclusion: The feasibility of chest DLCT with VMI was demonstrated for preoperative tumor staging in breast cancer patients, showing comparable cancer detectability and good agreement in tumor size measurement compared to breast MRI. This suggests that chest DLCT with VMI can serve as a potential alternative for patients who have contraindications to breast MRI.

Keywords

Acknowledgement

This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. 2020R1C1C1006453 and 2022R1A2C2009415).

References

  1. Goo HW, Goo JM. Dual-energy CT: new horizon in medical imaging. Korean J Radiol 2017;18:555-569
  2. Rassouli N, Etesami M, Dhanantwari A, Rajiah P. Detector-based spectral CT with a novel dual-layer technology: principles and applications. Insights Imaging 2017;8:589-598
  3. Nagayama Y, Nakaura T, Oda S, Utsunomiya D, Funama Y, Iyama Y, et al. Dual-layer DECT for multiphasic hepatic CT with 50 percent iodine load: a matched-pair comparison with a 120 kVp protocol. Eur Radiol 2018;28:1719-1730
  4. Lennartz S, Laukamp KR, Neuhaus V, Grosse Hokamp N, Le Blanc M, Maus V, et al. Dual-layer detector CT of the head: initial experience in visualization of intracranial hemorrhage and hypodense brain lesions using virtual monoenergetic images. Eur J Radiol 2018;108:177-183
  5. Nagayama Y, Iyama A, Oda S, Taguchi N, Nakaura T, Utsunomiya D, et al. Dual-layer dual-energy computed tomography for the assessment of hypovascular hepatic metastases: impact of closing k-edge on image quality and lesion detectability. Eur Radiol 2019;29:2837-2847
  6. Inoue T, Nakaura T, Iyama A, Kidoh M, Nagayama Y, Uetani H, et al. Usefulness of virtual monochromatic dual-layer computed tomographic imaging for breast carcinoma. J Comput Assist Tomogr 2020;44:78-82
  7. Trattner S, Halliburton S, Thompson CM, Xu Y, Chelliah A, Jambawalikar SR, et al. Cardiac-specific conversion factors to estimate radiation effective dose from dose-length product in computed tomography. JACC Cardiovasc Imaging 2018;11:64-74
  8. Koo TK, Li MY. A guideline of selecting and reporting intraclass correlation coefficients for reliability research. J Chiropr Med 2016;15:155-163
  9. American College of Radiology. ACR appropriateness criteria®: imaging of invasive breast cancer [accessed on October 24, 2023]. Available at: https://acsearch.acr.org/docs/3186697/narrative
  10. Gradishar WJ, Moran MS, Abraham J, Aft R, Agnese D, Allison KH, et al. Breast cancer, version 3.2022, NCCN clinical practice guidelines in oncology. J Natl Compr Canc Netw 2022;20:691-722
  11. Moyle P, Sonoda L, Britton P, Sinnatamby R. Incidental breast lesions detected on CT: what is their significance? Br J Radiol 2010;83:233-240
  12. Okamura Y, Yoshizawa N, Yamaguchi M, Kashiwakura I. Application of dual-energy computed tomography for breast cancer diagnosis. Int J Med Phys Clin Eng Radiat Oncol 2016;5:288-297
  13. Volterrani L, Gentili F, Fausto A, Pelini V, Megha T, Sardanelli F, et al. Dual-energy CT for locoregional staging of breast cancer: preliminary results. AJR Am J Roentgenol 2020;214:707-714
  14. Mettler FA Jr, Mahesh M, Bhargavan-Chatfield M, Chambers CE, Elee JG, Frush DP, et al. Patient exposure from radiologic and nuclear medicine procedures in the United States: procedure volume and effective dose for the period 2006-2016. Radiology 2020;295:418-427
  15. Choi WJ, Cha JH, Kim HH, Shin HJ, Chae EY. The accuracy of breast MR imaging for measuring the size of a breast cancer: analysis of the histopathologic factors. Clin Breast Cancer 2016;16:e145-e152
  16. Ramirez SI, Scholle M, Buckmaster J, Paley RH, Kowdley GC. Breast cancer tumor size assessment with mammography, ultrasonography, and magnetic resonance imaging at a community based multidisciplinary breast center. Am Surg 2012;78:440-446