Abstract
Breast cancer is the primary malignant tumor that endangers women’s health. The incidence of breast cancer is increasing rapidly in recent years. Accurate disease evaluation before treatment is the key to the selection of treatment options. Biomedical imaging technology plays an irreplaceable role in the diagnosis and staging of tumors. Various imaging methods can provide excellent temporal and spatial resolution from multiple levels and perspectives and have become one of the most commonly used means of breast cancer early detection. With the development of radiomics, it has been found that early imaging diagnosis of breast cancer plays an important guiding role in clinical decision-making. The purpose of this study is to explore the characteristics of various breast cancer imaging technologies, promote the development of individualized accurate diagnosis and treatment of imaging, and improve the clinical application value of radiomics in the early diagnosis of breast cancer.
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References
Jerome-D’Emilia B, Suplee P, Kushary D (2019) A 10-year evaluation of New Jersey’s national breast and cervical cancer early detection program: comparison of stage at diagnosis in enrollees and nonenrollees. J Women’s Health 29(2):230–236
Klijn JG (2010) Early diagnosis of hereditary breast cancer by magnetic resonance imaging: what is realistic? J Clin Oncol 28:1441–1445
Milosevic M, Jankovic D, Milenkovic A, Stojanov D (2018) Early diagnosis and detection of breast cancer. Technol Health Care 26:729–759
Tseshkovskii MS, Labetskii II (1986) Radiographic methods of breast imaging in the early diagnosis of cancer. Med Radiol 31:66–70
Cardoso F, Kyriakides S, Ohno S, Penault-Llorca F, Poortmans P, Rubio IT et al (2019) Early breast cancer: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up. Ann Oncol 30:1674
Fouladi N, Pourfarzi F, Daneshian A, Alimohammadi S (2018) Mediating factors in early diagnosis of breast cancer: from initial changes in health to breast cancer detection. Asian Pac J Cancer Prev 19:2751–2755
Bulut A, Bulut A (2017) Knowledge, attitudes and behaviors of primary health care nurses and midwives in breast cancer early diagnosis applications. Breast Cancer 9:163–169
Capelan M, Battisti NML, McLoughlin A, Maidens V, Snuggs N, Slyk P et al (2017) The prevalence of unmet needs in 625 women living beyond a diagnosis of early breast cancer. Br J Cancer 117:1113–1120
Jacobs MA, Wolff AC, Macura KJ, Stearns V, Ouwerkerk R, El Khouli R et al (2015) Multiparametric and multimodality functional radiological imaging for breast cancer diagnosis and early treatment response assessment. J Natl Cancer Inst Monogr 2015:40–46
Scherer E, Seifert J (1971) Mammography as a method for early diagnosis of female breast cancer. Experiences with a screening test in 7380 apparently healthy women. Dtsch Med Wochenschr 96:1207–1210
Allweis TM, Nissan A, Spira RM, Sklair-Levy M, Freund HR, Peretz T (2003) Screening mammography for early diagnosis of breast cancer: facts, controversies, and the implementation in Israel. Harefuah 142:281–286. 317
Kujiraoka Y, Murakami A (2006) Diagnosis of early stage of breast cancer by mammography. Nihon Rinsho Jap J Clin Med 64:486–490
Gutnik LA, Castro MC (2016) Does spatial access to mammography have an effect on early stage of breast cancer diagnosis? A county-level analysis for New York State. Breast J 22:127–130
Lacombe J, Mange A, Bougnoux AC, Prassas I, Solassol J (2014) A multiparametric serum marker panel as a complementary test to mammography for the diagnosis of node-negative early-stage breast cancer and DCIS in young women. Cancer Epidemiol Biomark Prev 23:1834–1842
Nergiz-Eroglu U, Kilic D (2011) Knowledge, attitude and beliefs women attending mammography units have regarding breast cancer and early diagnosis. Asian Pac J Cancer Prev 12:1855–1860
Salih A, Webb WM, Bates T (1999) Does open-access mammography and ultrasound delay the diagnosis of breast cancer? Breast 8:129–132
Simmons R (2004) Ultrasound in the changing approaches to breast cancer diagnosis and treatment. Breast J 10(Suppl 10):S13–S14
Tohno E, Ueno E (2005) Ultrasound (US) diagnosis of nonpalpable breast cancer. Breast Cancer 12:267–271
Carlsen J, Ewertsen C, Sletting S, Vejborg I, Schafer FK, Cosgrove D et al (2015) Ultrasound elastography in breast cancer diagnosis. Ultraschall Med 36:550–562. quiz 63-5
Moon WK, Huang YS, Lo CM, Huang CS, Bae MS, Kim WH et al (2015) Computer-aided diagnosis for distinguishing between triple-negative breast cancer and fibroadenomas based on ultrasound texture features. Med Phys 42:3024–3035
Zhang YN, Wang CJ, Xu Y, Zhu QL, Zhou YD, Zhang J et al (2015) Sensitivity, specificity and accuracy of ultrasound in diagnosis of breast cancer metastasis to the axillary lymph nodes in chinese patients. Ultrasound Med Biol 41:1835–1841
Polat AV, Ozturk M, Polat AK, Karabacak U, Bekci T, Murat N (2019) Efficacy of ultrasound and shear wave elastography for the diagnosis of breast cancer-related lymphedema. J Ultrasound Med 39(4):795–803
Tozaki M (2008) Diagnosis of breast cancer: MDCT versus MRI. Breast Cancer 15:205–211
Morrow M, Waters J, Morris E (2011) MRI for breast cancer screening, diagnosis, and treatment. Lancet 378:1804–1811
Kawashima H, Inokuchi M, Furukawa H, Kitamura S (2012) Accuracy for a diagnosis of breast cancer spread using 3.0T MRI. Nihon Rinsho Jap J Clin Med 70(Suppl 7):306–308
Banaie M, Soltanian-Zadeh H, Saligheh-Rad HR, Gity M (2018) Spatiotemporal features of DCE-MRI for breast cancer diagnosis. Comput Methods Prog Biomed 155:153–164
Brix G, Henze M, Knopp MV, Lucht R, Doll J, Junkermann H et al (2001) Comparison of pharmacokinetic MRI and [18F] fluorodeoxyglucose PET in the diagnosis of breast cancer: initial experience. Eur Radiol 11:2058–2070
Leithner D, Horvat JV, Bernard-Davila B, Helbich TH, Ochoa-Albiztegui RE, Martinez DF et al (2019) A multiparametric [(18)F]FDG PET/MRI diagnostic model including imaging biomarkers of the tumor and contralateral healthy breast tissue aids breast cancer diagnosis. Eur J Nucl Med Mol Imaging 46:1878–1888
Markel AL, Vainer BG (2005) Infrared thermography in diagnosis of breast cancer (review of foreign literature). Terapevticheskii Arkhiv 77:57–61
Agostini V, Delsanto S, Molinari F, Knaflitz M (2006) Evaluation of feature-based registration in dynamic infrared imaging for breast cancer diagnosis. Conference proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society IEEE Engineering in Medicine and Biology Society Annual Conference 1:953–956
Ooi GJ, Fox J, Siu K, Lewis R, Bambery KR, McNaughton D et al (2008) Fourier transform infrared imaging and small angle x-ray scattering as a combined biomolecular approach to diagnosis of breast cancer. Med Phys 35:2151–2161
Khanmohammadi M, Rajabi FH, Garmarudi AB, Mohammadzadeh R, Mohammadzadeh R (2010) Chemometrics assisted investigation of variations in infrared spectra of blood samples obtained from women with breast cancer: a new approach for cancer diagnosis. Eur J Cancer Care 19:352–359
Vreugdenburg TD, Willis CD, Mundy L, Hiller JE (2013) A systematic review of elastography, electrical impedance scanning, and digital infrared thermography for breast cancer screening and diagnosis. Breast Cancer Res Treat 137:665–676
Gerasimova E, Audit B, Roux SG, Khalil A, Gileva O, Argoul F et al (2014) Wavelet-based multifractal analysis of dynamic infrared thermograms to assist in early breast cancer diagnosis. Front Physiol 5:176
Han F, Shi G, Liang C, Wang L, Li K (2015) A simple and efficient method for breast cancer diagnosis based on infrared thermal imaging. Cell Biochem Biophys 71:491–498
Arora N, Martins D, Ruggerio D, Tousimis E, Swistel AJ, Osborne MP et al (2008) Effectiveness of a noninvasive digital infrared thermal imaging system in the detection of breast cancer. Am J Surg 196:523–526
Kosus N, Kosus A, Duran M, Simavli S, Turhan N (2010) Comparison of standard mammography with digital mammography and digital infrared thermal imaging for breast cancer screening. J Turkish German Gynecol Assoc 11:152–157
Athanasiou A, Vanel D, Balleyguier C, Fournier L, Mathieu MC, Delaloge S et al (2005) Dynamic optical breast imaging: a new technique to visualise breast vessels: comparison with breast MRI and preliminary results. Eur J Radiol 54:72–79
Fournier LS, Vanel D, Athanasiou A, Gatzemeier W, Masuykov IV, Padhani AR et al (2009) Dynamic optical breast imaging: a novel technique to detect and characterize tumor vessels. Eur J Radiol 69:43–49
Cerussi AE, Tanamai VW, Mehta RS, Hsiang D, Butler J, Tromberg BJ (2010) Frequent optical imaging during breast cancer neoadjuvant chemotherapy reveals dynamic tumor physiology in an individual patient. Acad Radiol 17:1031–1039
Flexman ML, Khalil MA, Al Abdi R, Kim HK, Fong CJ, Desperito E et al (2011) Digital optical tomography system for dynamic breast imaging. J Biomed Opt 16:076014
Sajjadi AY, Isakoff SJ, Deng B, Singh B, Wanyo CM, Fang Q et al (2017) Normalization of compression-induced hemodynamics in patients responding to neoadjuvant chemotherapy monitored by dynamic tomographic optical breast imaging (DTOBI). Biomed Opt Express 8:555–569
Zimmermann BB, Deng B, Singh B, Martino M, Selb J, Fang Q et al (2017) Multimodal breast cancer imaging using coregistered dynamic diffuse optical tomography and digital breast tomosynthesis. J Biomed Opt 22:46008
Vaupel P, Fortmeyer HP, Runkel S, Kallinowski F (1987) Blood flow, oxygen consumption, and tissue oxygenation of human breast cancer xenografts in nude rats. Cancer Res 47:3496–3503
Vaupel P, Mayer A, Briest S, Hockel M (2005) Hypoxia in breast cancer: role of blood flow, oxygen diffusion distances, and anemia in the development of oxygen depletion. Adv Exp Med Biol 566:333–342
Zalev J, Richards LM, Clingman BA, Harris J, Cantu E, Menezes GLG et al (2019) Opto-acoustic imaging of relative blood oxygen saturation and total hemoglobin for breast cancer diagnosis. J Biomed Opt 24:1–16
Abe K, Zhao L, Periasamy A, Intes X, Barroso M (2013) Non-invasive in vivo imaging of near infrared-labeled transferrin in breast cancer cells and tumors using fluorescence lifetime FRET. PLoS One 8:e80269
Verbeek FP, Troyan SL, Mieog JS, Liefers GJ, Moffitt LA, Rosenberg M et al (2014) Near-infrared fluorescence sentinel lymph node mapping in breast cancer: a multicenter experience. Breast Cancer Res Treat 143:333–342
Chi C, Zhang Q, Mao Y, Kou D, Qiu J, Ye J et al (2015) Increased precision of orthotopic and metastatic breast cancer surgery guided by matrix metalloproteinase-activatable near-infrared fluorescence probes. Sci Rep 5:14197
Abbaci M, Conversano A, De Leeuw F, Laplace-Builhe C, Mazouni C (2019) Near-infrared fluorescence imaging for the prevention and management of breast cancer-related lymphedema: a systematic review. Eur J Surg 45:1778–1786
Bhattacharyya K, Goldschmidt BS, Viator JA (2016) Detection and capture of breast cancer cells with photoacoustic flow cytometry. J Biomed Opt 21:87007
Wong TTW, Zhang R, Hai P, Zhang C, Pleitez MA, Aft RL et al (2017) Fast label-free multilayered histology-like imaging of human breast cancer by photoacoustic microscopy. Sci Adv 3:e1602168
Yamaga I, Kawaguchi-Sakita N, Asao Y, Matsumoto Y, Yoshikawa A, Fukui T et al (2018) Vascular branching point counts using photoacoustic imaging in the superficial layer of the breast: a potential biomarker for breast cancer. Photo-Dermatology 11:6–13
Nyayapathi N, Xia J (2019) Photoacoustic imaging of breast cancer: a mini review of system design and image features. J Biomed Opt 24:1–13
Yao D, Wang Y, Zou R, Bian K, Liu P, Shen S et al (2020) Molecular engineered squaraine nanoprobe for NIR-II/photoacoustic imaging and photothermal therapy of metastatic breast cancer. ACS Appl Mater Interfaces 12(4):4276–4284
Yu FH, Wang JX, Ye XH, Deng J, Hang J, Yang B (2019) Ultrasound-based radiomics nomogram: a potential biomarker to predict axillary lymph node metastasis in early-stage invasive breast cancer. Eur J Radiol 119:108658
Granzier RWY, van Nijnatten TJA, Woodruff HC, Smidt ML, Lobbes MBI (2019) Exploring breast cancer response prediction to neoadjuvant systemic therapy using MRI-based radiomics: a systematic review. Eur J Radiol 121:108736
Braman N, Prasanna P, Whitney J, Singh S, Beig N, Etesami M et al (2019) Association of peritumoral radiomics with tumor biology and pathologic response to preoperative targeted therapy for HER2 (ERBB2)-positive breast cancer. JAMA Netw Open 2:e192561
Antunovic L, De Sanctis R, Cozzi L, Kirienko M, Sagona A, Torrisi R et al (2019) PET/CT radiomics in breast cancer: promising tool for prediction of pathological response to neoadjuvant chemotherapy. Eur J Nucl Med Mol Imaging 46:1468–1477
Acar E, Turgut B, Yigit S, Kaya G (2019) Comparison of the volumetric and radiomics findings of 18F-FDG PET/CT images with immunohistochemical prognostic factors in local/locally advanced breast cancer. Nucl Med Commun 40:764–772
Lee SE, Han K, Kwak JY, Lee E, Kim EK (2018) Radiomics of US texture features in differential diagnosis between triple-negative breast cancer and fibroadenoma. Sci Rep 8:13546
Crivelli P, Ledda RE, Parascandolo N, Fara A, Soro D, Conti M (2018) A new challenge for radiologists: radiomics in breast cancer. Biomed Res Int 2018:6120703
Park H, Lim Y, Ko ES, Cho HH, Lee JE, Han BK et al (2018) Radiomics signature on magnetic resonance imaging: association with disease-free survival in patients with invasive breast cancer. Clin Cancer Res 24:4705–4714
Saha A, Yu X, Sahoo D, Mazurowski MA (2017) Effects of MRI scanner parameters on breast cancer radiomics. Expert Syst Appl 87:384–391
Drukker K, Edwards A, Doyle C, Papaioannou J, Kulkarni K, Giger ML (2019) Breast MRI radiomics for the pretreatment prediction of response to neoadjuvant chemotherapy in node-positive breast cancer patients. J Med Imaging 6:034502
Marino MA, Pinker K, Leithner D, Sung J, Avendano D, Morris EA et al (2019) Contrast-enhanced mammography and radiomics analysis for noninvasive breast cancer characterization: initial results. Mol Imaging Biol:1–8
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Chen, L., Jiang, N., Wu, Y. (2020). Application and Analysis of Biomedical Imaging Technology in Early Diagnosis of Breast Cancer. In: Huang, T. (eds) Precision Medicine. Methods in Molecular Biology, vol 2204. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-0904-0_6
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DOI: https://doi.org/10.1007/978-1-0716-0904-0_6
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