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Diagnostic efficiency of DCE-MRI combined with DWI for breast cancer and the relationship between imaging characteristics and molecular biological markers
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F. Guo   , L. Zhu , C. Ma , M. Zou , Y. Gao , N. Lv , Q. Qi |
| School of Basic Medicine, Bengbu Medical University, Bengbu, China , qq233003@163.com |
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Abstract: (493 Views) |
Background: To analyze the diagnostic efficiency of DCE-MRI combined with DWI for breast cancer and the relationship between imaging characteristics and molecular biological markers. Materials and Methods: A total of 120 patients with suspected breast lesions in the hospital were enrolled between January 2021 and October 2023, all underwent MRI examination to obtain DCE-MRI and DWI data. Taking results of pathological diagnosis as the golden standard, diagnostic efficiency of DCE-MRI combined with DWI for breast cancer was analyzed by Kappa consistency test. The expressions of ER, PR, HER-2 and Ki-67 in cancer tissues was detected by immunohistochemistry. The relationship between DCE-MRI, DWI characteristics and molecular biological markers was analyzed. Results: The consistency Kappa value between MRI and pathology 0.817, and its sensitivity, specificity and accuracy were 96.05%, 84.09% and 91.67%, respectively. In patients with breast cancer, tumor diameter was significantly correlated with the expressions of ER, HER-2 and Ki-67 in cancer tissues, tumor morphology was significantly correlated with the expressions of ER, PR, HER-2 and Ki-67, tumor margin was significantly correlated with the expressions of ER and PR, TIC type was significantly correlated with Ki-67 expression, EPER was significantly correlated with HER-2 expression, TTP was significantly correlated with Ki-67 expression, ADC value was significantly correlated with Ki-67 expression, and the above differences were statistically significant (P<0.05). Conclusion: DCE-MRI combined with DWI has high diagnostic efficiency for breast cancer, and their imaging characteristics are related to molecular biological markers to some extent. Imaging examination can further reflect biological behaviors of breast cancer indirectly. |
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| Keywords: Breast cancer, dynamic contrast-enhanced magnetic resonance imaging, diffusion-weighted imaging, molecular biology, marker. |
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Full-Text [PDF 879 kb]
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Type of Study: Original Research |
Subject:
Radiation Biology
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1. Jang H, Baek JG, Kim W and Sohn, JH (2021) Assessment of intensity modulated radiation therapy in left breast cancer including regional nodes without the internal mammary node: secondary cancer risks on thyroid and stomach. International Journal of Radiation Research, 19(4): 921-928. [ DOI:10.52547/ijrr.19.4.19] 2. Ramtohul T, Djerroudi L, Lissavalid E, Nhy C, Redon L, Ikni L, Djelouah M, Journo G, Menet E, Cabel L, Malhaire C, Tardivon A (2023) Multiparametric MRI and Radiomics for the Prediction of HER2-Zero, -Low, and -Positive Breast Cancers. Radiology, 308(2): e222646. doi: 10.1148/radiol.222646. PMID: 37526540. [ DOI:10.1148/radiol.222646] [ PMID] 3. Zhao X, Bai JW, Guo Q, Ren K, Zhang GJ (2023) Clinical applications of deep learning in breast MRI. Biochim Biophys Acta Rev Cancer, 1878(2): 188864. doi: 10.1016/j.bbcan.2023.188864. Epub 2023 Feb 21. PMID: 36822377. [ DOI:10.1016/j.bbcan.2023.188864] [ PMID] 4. Saleem TH, Rizk MA, Abdelhafez NF, Sabra A and Radwan E (2024) Upregulation of BRCA1 and 2 protein expression is associated with dysregulation in amino acids profiles in breast cancer. Molecular Biology Reports, 51(1): 50. [ DOI:10.1007/s11033-023-09028-6] [ PMID] [ ] 5. Siqueira PB, de Sousa RM and de Amorim I, et al. (2024) The APE1/REF-1 and the hallmarks of cancer. Molecular Biology Reports, 51(1): 47. [ DOI:10.1007/s11033-023-08946-9] [ PMID] 6. Adesoye T, Schumacher JR, Neuman HB, Edge S, McKellar D, Winchester DP, Francescatti AB, Greenberg CC (2018) Alliance ACS-CRP CCDR breast cancer surveillance working group. Use of breast imaging after treatment for locoregional breast cancer (AFT-01). Ann Surg Oncol, 25(6): 1502-1511. doi: 10.1245/s10434-018-6359-z. Epub 2018 Feb 15. PMID: 29450753; PMCID: PMC6925599. [ DOI:10.1245/s10434-018-6359-z] [ PMID] [ ] 7. Henderson LM, Hubbard RA, Zhu W, Weiss J, Wernli KJ, Goodrich ME, Kerlikowske K, DeMartini W, Ozanne EM, Onega T (2018) Preoperative breast magnetic resonance imaging use by breast density and family history of breast cancer. J Womens Health (Larchmt), 27(8): 987-993. doi: 10.1089/jwh.2017.6428. Epub 2018 Jan 15. PMID: 29334616; PMCID: PMC6104247. [ DOI:10.1089/jwh.2017.6428] [ PMID] [ ] 8. Sella T, Dowton AA, Meyer ME, Ruddy KJ, Yeh ED, Barry WT, Partridge AH (2020) The utility of magnetic resonance imaging in early-stage breast cancer survivors-An institutional experience and literature review. Breast J, 26(9): 1673-1679. doi: 10.1111/tbj.13997. Epub 2020 Aug 4. PMID: 32754998. [ DOI:10.1111/tbj.13997] [ PMID] 9. Rakıcı SY and Eren M (2023) Intensity-modulated radiation therapy (IMRT) with couch rotation in right unilateral breast cancer. 10. Yu Y, He Z, Ouyang J, Tan Y, Chen Y, Gu Y, Mao L, Ren W, Wang J, Lin L, Wu Z, Liu J, Ou Q, Hu Q, Li A, Chen K, Li C, Lu N, Li X, Su F, Liu Q, Xie C, Yao H (2021) Magnetic resonance imaging radiomics predicts preoperative axillary lymph node metastasis to support surgical decisions and is associated with tumor microenvironment in invasive breast cancer: A machine learning, multicenter study. EBioMedicine, 69: 103460. doi: 10.1016/j.ebiom.2021.103460. Epub 2021 Jul 4. PMID: 34233259; PMCID: PMC8261009. [ DOI:10.1016/j.ebiom.2021.103460] [ PMID] [ ] 11. Sarli A, Mozdarani H, Rakhshani N, Mozdarani S (2019) Relationship study of the verified human epidermal growth factor receptor 2 amplification with other tumor markers and clinicohistopathological characteristics in patients with invasive breast cancer, using chromogenic in situ hybridization. Cell Journal (Yakhteh), 21(3): 322. 12. Zhao Y, Yu Z and Song Y, et al. (2024) The regulatory network of CREB3L1 and its roles in physiological and pathological conditions. International Journal of Medical Sciences, 21(1): 123-136. [ DOI:10.7150/ijms.90189] [ PMID] [ ] 13. Lam DL, Houssami N, Lee JM (2017) Imaging surveillance after primary breast cancer treatment. Ajr Am J Roentgenol, 208(3): 676-686. doi: 10.2214/AJR.16.16300. Epub 2017 Jan 11. PMID: 28075622; PMCID: PMC5458742. [ DOI:10.2214/AJR.16.16300] [ PMID] [ ] 14. Yamaguchi H, Chang LC and Chang OS, et al. (2024) MRCK as a potential target for claudin-low subtype of breast cancer. International Journal of Biological Sciences, 20(1): 1-14. [ DOI:10.7150/ijbs.88285] [ PMID] [ ] 15. Witowski J, Heacock L, Reig B, Kang SK, Lewin A, Pysarenko K, Patel S, Samreen N, Rudnicki W, Łuczyńska E, Popiela T, Moy L, Geras KJ (2022) Improving breast cancer diagnostics with deep learning for MRI. Sci Transl Med, 14(664): eabo4802. doi: 10.1126/scitranslmed. abo4802. Epub 2022 Sep 28. PMID: 36170446; PMCID: PMC10323699. [ DOI:10.1126/scitranslmed.abo4802] [ PMID] [ ] 16. Goh T, Dao K, Rives AF, Fishman MDC, Slanetz PJ (2021) Systemic diseases affecting the breast: Imaging, diagnosis, and management. Clin Imaging, 77: 76-85. doi: 10.1016/j.clinimag.2021. 02.021. Epub 2021 Feb 24. PMID: 33652268. [ DOI:10.1016/j.clinimag.2021.02.021] [ PMID] 17. Ab Mumin N, Ramli Hamid MT, Wong JHD, Rahmat K, Ng KH (2022) Magnetic resonance imaging phenotypes of breast cancer molecular subtypes: A systematic review. Acad Radiol, 29 Suppl 1: S89-S106. doi: 10.1016/j.acra.2021.07.017. Epub 2021 Sep 2. PMID: 34481705. [ DOI:10.1016/j.acra.2021.07.017] [ PMID] 18. Whelan TJ, Fyles A, Parpia S, Nielsen T and Levine MN (2023) LUMINA: Using molecular biomarkers to guide decision making for breast radiotherapy. Radiotherapy and Oncology, 190: 110074. [ DOI:10.1016/j.radonc.2023.110074] [ PMID] 19. Seyfettin A, Dede I, Hakverdi S, Düzel Asıg B, Temiz M, Karazincir S (2022) MR imaging properties of breast cancer molecular subtypes. Eur Rev Med Pharmacol Sci, 26(11): 3840-3848. doi: 10.26355/eurrev_202206_28951. PMID: 35731053. 20. Rachetta E, Osano S, Astegiano F, Martincich L (2016) Breast cancer surveillance. Minerva Ginecol, 68(5): 509-516. Epub 2016 Feb 29. PMID: 26924173.
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Guo F, Zhu L, Ma C, Zou M, Gao Y, Lv N et al . Diagnostic efficiency of DCE-MRI combined with DWI for breast cancer and the relationship between imaging characteristics and molecular biological markers. Int J Radiat Res 2024; 22 (4) :955-961 URL: http://ijrr.com/article-1-5774-en.html
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