This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Ferlay J, Colombet M, Soerjomataram I, Dyba T, Randi G, Bettio M et al.: Cancer incidence and mortality patterns in Europe: estimates for 40 countries and 25 major cancers in 2018. Eur J Cancer 2018; 103: 356–387.FerlayJColombetMSoerjomataramIDybaTRandiGBettioMet alCancer incidence and mortality patterns in Europe: estimates for 40 countries and 25 major cancers in 2018Eur J Cancer201810335638710.1016/j.ejca.2018.07.00530100160Search in Google Scholar
Giordano SH: Update on locally advanced breast cancer. Oncologist 2003; 8: 521–530.GiordanoSHUpdate on locally advanced breast cancerOncologist2003852153010.1634/theoncologist.8-6-52114657530Search in Google Scholar
Wojciechowska U, Didkowska J, Michałek I, Olasek P, Ciuba A: Cancer in Poland in 2018. Polish National Cancer Registry, Warsaw 2020.WojciechowskaUDidkowskaJMichałekIOlasekPCiubaACancer in Poland in 2018Polish National Cancer RegistryWarsaw2020Search in Google Scholar
Vaidya JS, Massarut S, Vaidya HJ, Alexander EC, Richards T, Caris JA et al.: Rethinking neoadjuvant chemotherapy for breast cancer. BMJ 2018; 360: j5913.VaidyaJSMassarutSVaidyaHJAlexanderECRichardsTCarisJAet alRethinking neoadjuvant chemotherapy for breast cancerBMJ2018360j591310.1136/bmj.j591329326104Search in Google Scholar
Eisenhauer EA, Therasse P, Bogaerts J, Schwartz LH, Sargent D, Ford R et al.: New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1). Eur J Cancer 2009; 45: 228–247.EisenhauerEATherassePBogaertsJSchwartzLHSargentDFordRet alNew response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1)Eur J Cancer20094522824710.1016/j.ejca.2008.10.02619097774Search in Google Scholar
Gruber IV, Rueckert M, Kagan KO, Staebler A, Siegmann KC, Hartkopf A et al.: Measurement of tumour size with mammography, sonography and magnetic resonance imaging as compared to histological tumour size in primary breast cancer. BMC Cancer 2013; 13: 328.GruberIVRueckertMKaganKOStaeblerASiegmannKCHartkopfAet alMeasurement of tumour size with mammography, sonography and magnetic resonance imaging as compared to histological tumour size in primary breast cancerBMC Cancer20131332810.1186/1471-2407-13-328370485423826951Search in Google Scholar
Vriens BE, de Vries B, Lobbes MB, van Gastel SM, van den Berkmortel FW, Smilde TJ et al.: Ultrasound is at least as good as magnetic resonance imaging in predicting tumour size post-neoadjuvant chemotherapy in breast cancer. Eur J Cancer 2016; 52: 67–76.VriensBEdeVries BLobbesMBvanGastel SMvanden Berkmortel FWSmildeTJet alUltrasound is at least as good as magnetic resonance imaging in predicting tumour size post-neoadjuvant chemotherapy in breast cancerEur J Cancer201652677610.1016/j.ejca.2015.10.01026650831Search in Google Scholar
Zhang K, Li J, Zhu Q, Chang C: Prediction of pathologic complete response by ultrasonography and magnetic resonance imaging after neo-adjuvant chemotherapy in patients with breast cancer. Cancer Manag Res 2020; 12: 2603–2612.ZhangKLiJZhuQChangCPrediction of pathologic complete response by ultrasonography and magnetic resonance imaging after neo-adjuvant chemotherapy in patients with breast cancerCancer Manag Res2020122603261210.2147/CMAR.S247279717055032368138Search in Google Scholar
Loo CE, Straver ME, Rodenhuis S, Muller SH, Wesseling J, Vrancken Peeters MJ et al.: Magnetic resonance imaging response monitoring of breast cancer during neoadjuvant chemotherapy: relevance of breast cancer subtype. J Clin Oncol 2011; 29: 660–666.LooCEStraverMERodenhuisSMullerSHWesselingJVranckenPeeters MJet alMagnetic resonance imaging response monitoring of breast cancer during neoadjuvant chemotherapy: relevance of breast cancer subtypeJ Clin Oncol20112966066610.1200/JCO.2010.31.125821220595Search in Google Scholar
De Los Santos JF, Cantor A, Amos KD, Forero A, Golshan M, Horton JK et al.: Magnetic resonance imaging as a predictor of pathologic response in patients treated with neoadjuvant systemic treatment for operable breast cancer. Cancer 2013; 119: 1776–1783.DeLos Santos JFCantorAAmosKDForeroAGolshanMHortonJKet alMagnetic resonance imaging as a predictor of pathologic response in patients treated with neoadjuvant systemic treatment for operable breast cancerCancer20131191776178310.1002/cncr.27995393970723436342Search in Google Scholar
Aldrich JE: Basic physics of ultrasound imaging. Crit Care Med 2007; 35 (5 Suppl.): 131–137.AldrichJEBasic physics of ultrasound imagingCrit Care Med2007355 Suppl13113710.1097/01.CCM.0000260624.99430.2217446771Search in Google Scholar
Staren ED: Physics and principles of breast ultrasound. Am Surg 1996; 62: 103–107.StarenEDPhysics and principles of breast ultrasoundAm Surg199662103107Search in Google Scholar
Hooley RJ, Scoutt LM, Philpotts LE: Breast ultrasonography: state of the art. Radiology 2013; 268: 642–659.HooleyRJScouttLMPhilpottsLEBreast ultrasonography: state of the artRadiology201326864265910.1148/radiol.1312160623970509Search in Google Scholar
Sheereen S, Lobo FD, Kumar B, Kumar SM, Reddy GS, Patel W et al.: Histopathological changes in breast cancers following neoadjuvant chemotherapy: implications for assessment of therapy-induced cytological and stromal changes for better clinical outcome and effective patient care. Asian J Oncol 2018; 4: 61–68.SheereenSLoboFDKumarBKumarSMReddyGSPatelWet alHistopathological changes in breast cancers following neoadjuvant chemotherapy: implications for assessment of therapy-induced cytological and stromal changes for better clinical outcome and effective patient careAsian J Oncol20184616810.1055/s-0038-1676909Search in Google Scholar
Cloutier G, Destrempes F, Yu F: Quantitative ultrasound imaging of soft biological tissues: a primer for radiologists and medical physicists. Insights Imaging 2021; 12: 127.CloutierGDestrempesFYuFQuantitative ultrasound imaging of soft biological tissues: a primer for radiologists and medical physicistsInsights Imaging20211212710.1186/s13244-021-01071-w842954134499249Search in Google Scholar
Oelze M, Mamou J: Review of quantitative ultrasound: envelope statistics and backscatter coefficient imaging and contributions to diagnostic ultrasound. IEEE Trans Ultrason Ferroelectr Freq Control 2016; 63: 336–351.OelzeMMamouJReview of quantitative ultrasound: envelope statistics and backscatter coefficient imaging and contributions to diagnostic ultrasoundIEEE Trans Ultrason Ferroelectr Freq Control20166333635110.1109/TUFFC.2015.2513958555139926761606Search in Google Scholar
Mamou J, Oelze M: Quantitative Ultrasound in Soft Tissues. Springer, 2013.MamouJOelzeMQuantitative Ultrasound in Soft TissuesSpringer201310.1007/978-94-007-6952-6Search in Google Scholar
Oelze M: Quantitative ultrasound successes: past, present and future. Proc SPIE 11319, Med Imaging 2020: Ultrasonic Imaging and Tomography, 113190X.OelzeMQuantitative ultrasound successes: past, present and future. Proc SPIE 11319Med Imaging2020Ultrasonic Imaging and Tomography, 113190X10.1117/12.2557150Search in Google Scholar
Sadeghi-Naini A, Papanicolau N, Falou O, Zubovits J, Dent R, Verma S et al.: Quantitative ultrasound evaluation of tumor cell death response in locally advanced breast cancer patients receiving chemotherapy. Clin Cancer Res 2013; 19: 2163–2174.Sadeghi-NainiAPapanicolauNFalouOZubovitsJDentRVermaSet alQuantitative ultrasound evaluation of tumor cell death response in locally advanced breast cancer patients receiving chemotherapyClin Cancer Res2013192163217410.1158/1078-0432.CCR-12-296523426278Search in Google Scholar
Sannachi L, Tadayyon H, Sadeghi-Naini A, Tran W, Gandhi S, Wright F et al.: Non-invasive evaluation of breast cancer response to chemotherapy using quantitative ultrasonic backscatter parameters. Med Image Anal 2015; 20: 224–236.SannachiLTadayyonHSadeghi-NainiATranWGandhiSWrightFet alNon-invasive evaluation of breast cancer response to chemotherapy using quantitative ultrasonic backscatter parametersMed Image Anal20152022423610.1016/j.media.2014.11.00925534283Search in Google Scholar
Taleghamar H, Moghadas-Dastjerdi H, Czarnota GJ, Sadeghi-Naini A: Characterizing intra-tumor regions on quantitative ultrasound parametric images to predict breast cancer response to chemotherapy at pre-treatment. Sci Rep 2021; 11: 14865.TaleghamarHMoghadas-DastjerdiHCzarnotaGJSadeghi-NainiACharacterizing intra-tumor regions on quantitative ultrasound parametric images to predict breast cancer response to chemotherapy at pre-treatmentSci Rep2021111486510.1038/s41598-021-94004-y829536934290259Search in Google Scholar
Tadayyon H, Sadeghi-Naini A, Czarnota GJ: Noninvasive characterization of locally advanced breast cancer using textural analysis of quantitative ultrasound parametric images. Transl Oncol 2014; 7: 759–767.TadayyonHSadeghi-NainiACzarnotaGJNoninvasive characterization of locally advanced breast cancer using textural analysis of quantitative ultrasound parametric imagesTransl Oncol2014775976710.1016/j.tranon.2014.10.007431102325500086Search in Google Scholar
Hruska DP, Oelze ML: Improved parameter estimates based on the homodyned K distribution. IEEE Trans Ultrason Ferroelectr Freq Control 2009; 56: 2471–2481.HruskaDPOelzeMLImproved parameter estimates based on the homodyned K distributionIEEE Trans Ultrason Ferroelectr Freq Control2009562471248110.1109/TUFFC.2009.1334290587619942533Search in Google Scholar
Dutt V, Greenleaf JF: Ultrasound echo envelope analysis using a homodyned K distribution signal model. Ultrason Imaging 1994; 16: 265–287.DuttVGreenleafJFUltrasound echo envelope analysis using a homodyned K distribution signal modelUltrason Imaging19941626528710.1177/0161734694016004047785128Search in Google Scholar
Klimonda Z, Karwat P, Piotrzkowska-Wróblewska H, Dobruch-Sobczak K, Litniewski J: Ultrasound scattering statistics predicts the result of neoadjuvant chemotherapy of breast tumors at an early stage of treatment. IUS 2019, IEEE International Ultrasonics Symposium 2019: 1–3.KlimondaZKarwatPPiotrzkowska-WróblewskaHDobruch-SobczakKLitniewskiJUltrasound scattering statistics predicts the result of neoadjuvant chemotherapy of breast tumors at an early stage of treatmentIUS, 2019, IEEE International Ultrasonics Symposium20191310.1109/ULTSYM.2019.8926296Search in Google Scholar
Sethi D, Sen R, Parshad S, Khetarpal S, Garg M, Sen J: Histopathologic changes following neoadjuvant chemotherapy in various malignancies. Int J Appl Basic Med Res 2012; 2: 111–116.SethiDSenRParshadSKhetarpalSGargMSenJHistopathologic changes following neoadjuvant chemotherapy in various malignanciesInt J Appl Basic Med Res2012211111610.4103/2229-516X.106353367869023776823Search in Google Scholar
Piotrzkowska-Wróblewska H, Dobruch-Sobczak K, Karwat P, Roszkowska-Purska K, Litniewski J: Monitoring breast cancer response to neoadjuvant chemotherapy with ultrasound signal statistics and integrated backscatter. PLoS One 2019; 14: e0213749.Piotrzkowska-WróblewskaHDobruch-SobczakKKarwatPRoszkowska-PurskaKLitniewskiJMonitoring breast cancer response to neoadjuvant chemotherapy with ultrasound signal statistics and integrated backscatterPLoS One201914e021374910.1371/journal.pone.0213749641765730870478Search in Google Scholar
Dobruch-Sobczak K, Piotrzkowska-Wróblewska H, Klimonda Z, Roszkowska-Purska K, Litniewski J: Ultrasound echogenicity reveals the response of breast cancer to chemotherapy. Clin Imaging 2019; 55: 41–46.Dobruch-SobczakKPiotrzkowska-WróblewskaHKlimondaZRoszkowska-PurskaKLitniewskiJUltrasound echogenicity reveals the response of breast cancer to chemotherapyClin Imaging201955414610.1016/j.clinimag.2019.01.02130739033Search in Google Scholar
Dobruch-Sobczak KS, Piotrzkowska-Wróblewska H, Karwat P, Klimonda Z, Markiewicz-Grodzicka E, Litniewski J: Quantitative assessment of the echogenicity of a breast tumor predicts the response to neoadjuvant chemotherapy. Cancers (Basel) 2021; 13: 3546.Dobruch-SobczakKSPiotrzkowska-WróblewskaHKarwatPKlimondaZMarkiewicz-GrodzickaELitniewskiJQuantitative assessment of the echogenicity of a breast tumor predicts the response to neoadjuvant chemotherapyCancers (Basel)202113354610.3390/cancers13143546830740534298759Search in Google Scholar
Dobruch-Sobczak K, Piotrzkowska-Wróblewska H, Klimoda Z, Secomski W, Karwat P, Markiewicz-Grodzicka E et al.: Monitoring the response to neoadjuvant chemotherapy in patients with breast cancer using ultrasound scattering coefficient: a preliminary report. J Ultrason 2019; 19: 89–97.Dobruch-SobczakKPiotrzkowska-WróblewskaHKlimodaZSecomskiWKarwatPMarkiewicz-GrodzickaEet alMonitoring the response to neoadjuvant chemotherapy in patients with breast cancer using ultrasound scattering coefficient: a preliminary reportJ Ultrason201919899710.15557/JoU.2019.0013675032831355579Search in Google Scholar
DiCenzo D, Quiaoit K, Fatima K, Bhardwaj D, Sannachi L, Gangeh M et al.: Quantitative ultrasound radiomics in predicting response to neoadjuvant chemotherapy in patients with locally advanced breast cancer: results from multi-institutional study. Cancer Med 2020; 9: 5798–5806.DiCenzoDQuiaoitKFatimaKBhardwajDSannachiLGangehMet alQuantitative ultrasound radiomics in predicting response to neoadjuvant chemotherapy in patients with locally advanced breast cancer: results from multi-institutional studyCancer Med202095798580610.1002/cam4.3255743382032602222Search in Google Scholar
Sannachi L, Gangeh M, Naini AS, Bhargava P, Jain A, Tran WT et al.: Quantitative ultrasound monitoring of breast tumour response to neoadjuvant chemotherapy: comparison of results among clinical scanners. Ultrasound Med Biol 2020; 46: 1142–1157.SannachiLGangehMNainiASBhargavaPJainATranWTet alQuantitative ultrasound monitoring of breast tumour response to neoadjuvant chemotherapy: comparison of results among clinical scannersUltrasound Med Biol2020461142115710.1016/j.ultrasmedbio.2020.01.02232111456Search in Google Scholar
