Zhou J, Li G, Sheng F, Qiao P, Zhang H, Xing X (2016) Magnetic resonance imaging evaluation of residual tumors in breast cancer after neoadjuvant chemotherapy: surgical implications. Acta radiol 57:529–537. https://doi.org/10.1177/0284185115597263
Article
PubMed
Google Scholar
Iotti V, Ravaioli S, Vacondio R, Coriani C, Caffarri S, Sghedoni R, Nitrosi A, Ragazzi M, Gasparini E, Masini C, Bisagni G, Falco G, Ferrari G, Braglia L, Del Prato A, Malavolti I, Ginocchi V, Pattacini P (2017) Contrast-enhanced spectral mammography in neoadjuvant chemotherapy monitoring: a comparison with breast magnetic resonance imaging. Breast Cancer Res 19:106. https://doi.org/10.1186/s13058-017-0899-1
Article
CAS
PubMed
PubMed Central
Google Scholar
Mamounas EP (2015) Impact of neoadjuvant chemotherapy on locoregional surgical treatment of breast cancer. Ann Surg Oncol 22:1425–1433. https://doi.org/10.1245/s10434-015-4406-6
Article
PubMed
Google Scholar
El bakoury EAEM, Khalil RF, Abdelhamid AEM, Darwish AMA, Hassan HHM (2017) Diffusion weighted imaging in early prediction of neoadjuvant chemotherapy response in breast cancer. Egypt J Radiol Nucl Med 48:529–535. https://doi.org/10.1016/J.EJRNM.2017.03.021
Article
Google Scholar
Lee J, Kim SH, Kang BJ (2018) Pretreatment prediction of pathologic complete response to neoadjuvant chemotherapy in breast cancer: perfusion metrics of dynamic contrast enhanced MRI. Sci Rep 8:9490. https://doi.org/10.1038/s41598-018-27764-9
Article
CAS
PubMed
PubMed Central
Google Scholar
Goorts B, Dreuning KMA, Houwers JB, Kooreman LFS, Boerma E-JG, Mann RM, Lobbes MBI, Smidt ML (2018) MRI-based response patterns during neoadjuvant chemotherapy can predict pathological (complete) response in patients with breast cancer. Breast Cancer Res 20:34. https://doi.org/10.1186/s13058-018-0950-x
Article
CAS
PubMed
PubMed Central
Google Scholar
Rauch GM, Adrada BE, Kuerer HM, van la Parra RFD, Leung JWT, Yang WT (2017) Multimodality imaging for evaluating response to neoadjuvant chemotherapy in breast cancer. Am J Roentgenol 208:290–299. https://doi.org/10.2214/AJR.16.17223
Article
Google Scholar
Tudorica A, Oh KY, Chui SY-C, Roy N, Troxell ML, Naik A, Kemmer KA, Chen Y, Holtorf ML, Afzal A, Springer CS, Li X, Huang W, Huang W (2016) Early prediction and evaluation of breast cancer response to neoadjuvant chemotherapy using quantitative DCE-MRI. Transl Oncol 9:8–17. https://doi.org/10.1016/j.tranon.2015.11.016
Article
PubMed
PubMed Central
Google Scholar
Pickles MD, Lowry M, Manton DJ, Turnbull LW (2015) Prognostic value of DCE-MRI in breast cancer patients undergoing neoadjuvant chemotherapy: a comparison with traditional survival indicators. Eur Radiol 25:1097–1106. https://doi.org/10.1007/s00330-014-3502-5
Article
PubMed
Google Scholar
Woolf DK, Padhani AR, Taylor NJ, Gogbashian A, Li SP, Beresford MJ, Ah-See M-L, Stirling J, Collins DJ, Makris A (2014) Assessing response in breast cancer with dynamic contrast-enhanced magnetic resonance imaging: Are signal intensity–time curves adequate? Breast Cancer Res Treat 147:335–343. https://doi.org/10.1007/s10549-014-3072-x
Article
CAS
PubMed
Google Scholar
Li X, Kang H, Arlinghaus LR, Abramson RG, Chakravarthy AB, Abramson VG, Farley J, Sanders M, Yankeelov TE (2014) Analyzing spatial heterogeneity in DCE- and DW-MRI parametric maps to optimize prediction of pathologic response to neoadjuvant chemotherapy in breast cancer. Transl Oncol 7:14–22. https://doi.org/10.1593/tlo.13748
Article
PubMed
PubMed Central
Google Scholar
Huang W, Li X, Chen Y, Li X, Chang M-C, Oborski MJ, Malyarenko DI, Muzi M, Jajamovich GH, Fedorov A, Tudorica A, Gupta SN, Laymon CM, Marro KI, Dyvorne HA, Miller JV, Barbodiak DP, Chenevert TL, Yankeelov TE, Mountz JM, Kinahan PE, Kikinis R, Taouli B, Fennessy F, Kalpathy-Cramer J (2014) Variations of dynamic contrast-enhanced magnetic resonance imaging in evaluation of breast cancer therapy response: a multicenter data analysis challenge. Transl Oncol 7:153–166. https://doi.org/10.1593/tlo.13838
Article
PubMed
PubMed Central
Google Scholar
Patel BK, Hilal T, Covington M, Zhang N, Kosiorek HE, Lobbes M, Northfelt DW, Pockaj BA (2018) Contrast-enhanced spectral mammography is comparable to mri in the assessment of residual breast cancer following neoadjuvant systemic therapy. Ann Surg Oncol 25:1350–1356. https://doi.org/10.1245/s10434-018-6413-x
Article
PubMed
Google Scholar
Tozaki M, Kobayashi T, Uno S, Aiba K, Takeyama H, Shioya H, Tabei I, Toriumi Y, Suzuki M, Fukuda K (2006) Breast-conserving surgery after chemotherapy: value of MDCT for determining tumor distribution and shrinkage pattern. Am J Roentgenol 186:431–439. https://doi.org/10.2214/AJR.04.1520
Article
Google Scholar
Schwartz LH, Litière S, de Vries E, Ford R, Gwyther S, Mandrekar S, Shankar L, Bogaerts J, Chen A, Dancey J, Hayes W, Hodi FS, Hoekstra OS, Huang EP, Lin N, Liu Y, Therasse P, Wolchok JD, Seymour L (2016) RECIST 1.1-Update and clarification: From the RECIST committee. Eur J Cancer 62:132–137. https://doi.org/10.1016/j.ejca.2016.03.081
Article
PubMed
PubMed Central
Google Scholar
Abdelhameed S, Kamal RM, Moustafa AI, Gomaa MM, Omniya M (2019) No Title. Eur Congr Radiol Voice EPOS stage 2:208 C2812—Oncol Imaging
Google Scholar
Mostafa S, Mubarak R, El-Adawy M (2018) Breast cancer detection using polynomial fitting for intensity spreading within ROIs, pp 129–139
Google Scholar
Rehman AU, Chouhan N, Khan A (2015) Diverse and discrimintative features based breast cancer detection using digital mammography. 2015 13th International Conference on Frontiers of Information Technology (FIT). IEEE:234–239
Appukuttan A, L. S (2015) Breast cancer-early detection and classification techniques: a survey. Int J Comput Appl 132:9–13 . doi: https://doi.org/10.5120/ijca2015907557
Article
Google Scholar
Sahar M, Nugroho HA, Tianur AI, Choridah L (2016) Automated detection of breast cancer lesions using adaptive thresholding and morphological operation. In: 2016 International Conference on Information Technology Systems and Innovation (ICITSI). IEEE, pp 1–4
Singh AK, Gupta B (2015) A novel approach for breast cancer detection and segmentation in a mammogram. Procedia Comput Sci 54:676–682. https://doi.org/10.1016/j.procs.2015.06.079
Article
Google Scholar
Ogston KN, Miller ID, Payne S, Hutcheon AW, Sarkar TK, Smith I, Schofield A, Heys SD (2003) A new histological grading system to assess response of breast cancers to primary chemotherapy: prognostic significance and survival. Breast 12:320–327
Article
Google Scholar
Hartkopf AD, Müller V, Wöckel A, Lux MP, Janni W, Nabieva N, Taran F-A, Ettl J, Lüftner D, Belleville E, Schütz F, Fasching PA, Fehm TN, Kolberg H-C, Overkamp F, Schneeweiss A, Tesch H (2019) Update breast cancer 2019 part 1—implementation of study results of novel study designs in clinical practice in patients with early breast cancer. Geburtshilfe Frauenheilkd 79:256–267. https://doi.org/10.1055/a-0842-6614
Article
PubMed
PubMed Central
Google Scholar
Fernandez-Gonzalez S, Falo C, Pla MJ, Pernas S, Bajen M, Soler T, Ortega R, Quetglas C, Perez-Martin X, Fernandez Montoli ME, Campos M, Varela-Rodriguez M, Ponce J, Garcia-Tejedor A (2018) The shift from sentinel lymph node biopsy performed either before or after neoadjuvant Systemic therapy in the clinical negative nodes of breast cancer patients. Results, and the advantages and disadvantages of both procedures. Clin Breast Cancer 18:71–77. https://doi.org/10.1016/j.clbc.2017.08.014
Article
PubMed
Google Scholar
Lobbes MBI, Prevos R, Smidt M, Tjan-Heijnen VCG, van Goethem M, Schipper R, Beets-Tan RG, Wildberger JE (2013) The role of magnetic resonance imaging in assessing residual disease and pathologic complete response in breast cancer patients receiving neoadjuvant chemotherapy: a systematic review. Insights Imaging 4:163–175. https://doi.org/10.1007/s13244-013-0219-y
Article
CAS
PubMed
PubMed Central
Google Scholar
Fowler AM, Mankoff DA, Joe BN (2017) Imaging neoadjuvant therapy response in breast cancer. Radiology 285:358–375. https://doi.org/10.1148/radiol.2017170180
Article
PubMed
Google Scholar
Fasching PA, Gaß P, Hein A (2016) Neoadjuvant treatment of breast cancer—advances and limitations. Breast Care (Basel) 11:313–314. https://doi.org/10.1159/000452463
Article
Google Scholar
Barra FR, de Souza FF, Camelo REFA, Ribeiro AC de O, Farage L (2017) Accuracy of contrast-enhanced spectral mammography for estimating residual tumor size after neoadjuvant chemotherapy in patients with breast cancer: a feasibility study. Radiol Bras 50:224–230. https://doi.org/10.1590/0100-3984.2016-0029
Article
PubMed
PubMed Central
Google Scholar
Zahraa Al-Hilli Z, Boughey JC (2016) The timing of breast and axillary surgery after neoadjuvant chemotherapy for breast cancer. Chinese Clin Oncol 5:37–37. https://doi.org/10.21037/cco.2016.03.26
Article
Google Scholar
Dialani V, Chadashvili T, Slanetz PJ (2015) Role of imaging in neoadjuvant therapy for breast cancer. Ann Surg Oncol 22:1416–1424. https://doi.org/10.1245/s10434-015-4403-9
Article
PubMed
Google Scholar
Bouzón A, Acea B, Soler R, Iglesias Á, Santiago P, Mosquera J, Calvo L, Seoane-Pillado T, García A (2016) Diagnostic accuracy of MRI to evaluate tumour response and residual tumour size after neoadjuvant chemotherapy in breast cancer patients. Radiol Oncol 50:73–79. https://doi.org/10.1515/raon-2016-0007
Article
CAS
PubMed
PubMed Central
Google Scholar
Yuan Y, Chen X-S, Liu S-Y, Shen K-W (2010) Accuracy of MRI in prediction of pathologic complete remission in breast cancer after Preoperative therapy: a meta-analysis. Am J Roentgenol 195:260–268. https://doi.org/10.2214/AJR.09.3908
Article
Google Scholar
Marinovich ML, Houssami N, Macaskill P, Sardanelli F, Irwig L, Mamounas EP, von Minckwitz G, Brennan ME, Ciatto S (2013) Meta-analysis of magnetic resonance imaging in detecting residual breast cancer after neoadjuvant therapy. JNCI J Natl Cancer Inst 105:321–333. https://doi.org/10.1093/jnci/djs528
Article
CAS
PubMed
Google Scholar
Marinovich ML, Macaskill P, Irwig L, Sardanelli F, von Minckwitz G, Mamounas E, Brennan M, Ciatto S, Houssami N (2013) Meta-analysis of agreement between MRI and pathologic breast tumour size after neoadjuvant chemotherapy. Br J Cancer 109:1528–1536. https://doi.org/10.1038/bjc.2013.473
Article
CAS
PubMed
PubMed Central
Google Scholar
Marinovich ML, Macaskill P, Irwig L, Sardanelli F, Mamounas E, von Minckwitz G, Guarneri V, Partridge SC, Wright FC, Choi JH, Bhattacharyya M, Martincich L, Yeh E, Londero V, Houssami N (2015) Agreement between MRI and pathologic breast tumor size after neoadjuvant chemotherapy, and comparison with alternative tests: individual patient data meta-analysis. BMC Cancer 15:662. https://doi.org/10.1186/s12885-015-1664-4
Article
CAS
PubMed
PubMed Central
Google Scholar