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For: Tan W, Yang M, Yang H, Zhou F, Shen W. Predicting the response to neoadjuvant therapy for early-stage breast cancer: tumor-, blood-, and imaging-related biomarkers. Cancer Manag Res 2018;10:4333-47. [PMID: 30349367 DOI: 10.2147/CMAR.S174435] [Cited by in Crossref: 19] [Cited by in F6Publishing: 15] [Article Influence: 4.8] [Reference Citation Analysis]
Number Citing Articles
1 Kim C, Han SA, Won KY, Hong IK, Kim DY. Early Prediction of Tumor Response to Neoadjuvant Chemotherapy and Clinical Outcome in Breast Cancer Using a Novel FDG-PET Parameter for Cancer Stem Cell Metabolism. J Pers Med 2020;10:E132. [PMID: 32957507 DOI: 10.3390/jpm10030132] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
2 Yu H, Meng X, Chen H, Han X, Fan J, Gao W, Du L, Chen Y, Wang Y, Liu X, Zhang L, Ma G, Yang J. Correlation Between Mammographic Radiomics Features and the Level of Tumor-Infiltrating Lymphocytes in Patients With Triple-Negative Breast Cancer. Front Oncol 2020;10:412. [PMID: 32351879 DOI: 10.3389/fonc.2020.00412] [Cited by in Crossref: 2] [Cited by in F6Publishing: 5] [Article Influence: 1.0] [Reference Citation Analysis]
3 Pesapane F, Suter MB, Rotili A, Penco S, Nigro O, Cremonesi M, Bellomi M, Jereczek-Fossa BA, Pinotti G, Cassano E. Will traditional biopsy be substituted by radiomics and liquid biopsy for breast cancer diagnosis and characterisation? Med Oncol 2020;37:29. [PMID: 32180032 DOI: 10.1007/s12032-020-01353-1] [Cited by in Crossref: 10] [Cited by in F6Publishing: 8] [Article Influence: 5.0] [Reference Citation Analysis]
4 Wang T, Wu B, Hu X, Liu J, Zhang T, Li F, Sun B, Cai L, Li X, Chen Z, Yang Q, Jiang Z. A randomized multicenter phase II trial of mecapegfilgrastim single administration versus granulocyte colony-stimulating growth factor on treating chemotherapy-induced neutropenia in breast cancer patients. Ann Transl Med 2019;7:196. [PMID: 31205914 DOI: 10.21037/atm.2019.04.10] [Cited by in Crossref: 3] [Cited by in F6Publishing: 6] [Article Influence: 1.0] [Reference Citation Analysis]
5 Srinivasan SS, Seenivasan R, Condie A, Gerson SL, Wang Y, Burda C. Gold Nanoparticle-Based Fluorescent Theranostics for Real-Time Image-Guided Assessment of DNA Damage and Repair. Int J Mol Sci 2019;20:E471. [PMID: 30678294 DOI: 10.3390/ijms20030471] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 0.7] [Reference Citation Analysis]
6 Pesapane F, Rotili A, Penco S, Montesano M, Agazzi GM, Dominelli V, Trentin C, Pizzamiglio M, Cassano E. Inter-Reader Agreement of Diffusion-Weighted Magnetic Resonance Imaging for Breast Cancer Detection: A Multi-Reader Retrospective Study. Cancers (Basel) 2021;13:1978. [PMID: 33924033 DOI: 10.3390/cancers13081978] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
7 Hagenaars SC, de Groot S, Cohen D, Dekker TJA, Charehbili A, Meershoek-Klein Kranenbarg E, Duijm-de Carpentier M, Pijl H, Putter H, Tollenaar RAEM, Kroep JR, Mesker WE; Dutch Breast Cancer Research Group (BOOG). Tumor-stroma ratio is associated with Miller-Payne score and pathological response to neoadjuvant chemotherapy in HER2-negative early breast cancer. Int J Cancer 2021;149:1181-8. [PMID: 34043821 DOI: 10.1002/ijc.33700] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
8 Pesapane F, Downey K, Rotili A, Cassano E, Koh DM. Imaging diagnosis of metastatic breast cancer. Insights Imaging 2020;11:79. [PMID: 32548731 DOI: 10.1186/s13244-020-00885-4] [Cited by in Crossref: 6] [Cited by in F6Publishing: 7] [Article Influence: 3.0] [Reference Citation Analysis]
9 Pesapane F, Rotili A, Agazzi GM, Botta F, Raimondi S, Penco S, Dominelli V, Cremonesi M, Jereczek-Fossa BA, Carrafiello G, Cassano E. Recent Radiomics Advancements in Breast Cancer: Lessons and Pitfalls for the Next Future. Curr Oncol 2021;28:2351-72. [PMID: 34202321 DOI: 10.3390/curroncol28040217] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
10 Zhuang X, Chen C, Liu Z, Zhang L, Zhou X, Cheng M, Ji F, Zhu T, Lei C, Zhang J, Jiang J, Tian J, Wang K. Multiparametric MRI-based radiomics analysis for the prediction of breast tumor regression patterns after neoadjuvant chemotherapy. Transl Oncol 2020;13:100831. [PMID: 32759037 DOI: 10.1016/j.tranon.2020.100831] [Cited by in Crossref: 6] [Cited by in F6Publishing: 7] [Article Influence: 3.0] [Reference Citation Analysis]
11 Pesapane F, Rotili A, Botta F, Raimondi S, Bianchini L, Corso F, Ferrari F, Penco S, Nicosia L, Bozzini A, Pizzamiglio M, Origgi D, Cremonesi M, Cassano E. Radiomics of MRI for the Prediction of the Pathological Response to Neoadjuvant Chemotherapy in Breast Cancer Patients: A Single Referral Centre Analysis. Cancers (Basel) 2021;13:4271. [PMID: 34503081 DOI: 10.3390/cancers13174271] [Reference Citation Analysis]
12 Wang Y, Zhang J, Guo S, Meng XY, Zheng ZC, Zhao Y. Indications of neoadjuvant chemotherapy for locally advanced Gastric Cancer patients based on pre-treatment clinicalpathological and laboratory parameters. J Cancer 2020;11:6000-8. [PMID: 32922540 DOI: 10.7150/jca.46430] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
13 Li L, Han Z, Qiu L, Kang D, Zhan Z, Tu H, Chen J. Label-free multiphoton imaging to assess neoadjuvant therapy responses in breast carcinoma. Int J Biol Sci 2020;16:1376-87. [PMID: 32210726 DOI: 10.7150/ijbs.41579] [Reference Citation Analysis]
14 Comes MC, La Forgia D, Didonna V, Fanizzi A, Giotta F, Latorre A, Martinelli E, Mencattini A, Paradiso AV, Tamborra P, Terenzio A, Zito A, Lorusso V, Massafra R. Early Prediction of Breast Cancer Recurrence for Patients Treated with Neoadjuvant Chemotherapy: A Transfer Learning Approach on DCE-MRIs. Cancers (Basel) 2021;13:2298. [PMID: 34064923 DOI: 10.3390/cancers13102298] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
15 Xu W, Wang Y, Wang Y, Lv S, Xu X, Dong X. Screening of differentially expressed genes and identification of NUF2 as a prognostic marker in breast cancer. Int J Mol Med 2019;44:390-404. [PMID: 31198978 DOI: 10.3892/ijmm.2019.4239] [Cited by in Crossref: 7] [Cited by in F6Publishing: 9] [Article Influence: 2.3] [Reference Citation Analysis]