184 related articles for article (PubMed ID: 36674372)
1. Development and Assessment of a Novel Core Biopsy-Based Prediction Model for Pathological Complete Response to Neoadjuvant Chemotherapy in Women with Breast Cancer.
Lan A; Chen J; Li C; Jin Y; Wu Y; Dai Y; Jiang L; Li H; Peng Y; Liu S
Int J Environ Res Public Health; 2023 Jan; 20(2):. PubMed ID: 36674372
[TBL] [Abstract][Full Text] [Related]
2. Individualized model for predicting pathological complete response to neoadjuvant chemotherapy in patients with breast cancer: A multicenter study.
Qian B; Yang J; Zhou J; Hu L; Zhang S; Ren M; Qu X
Front Endocrinol (Lausanne); 2022; 13():955250. PubMed ID: 36060977
[TBL] [Abstract][Full Text] [Related]
3. Nomograms for Predicting Disease-Free Survival Based on Core Needle Biopsy and Surgical Specimens in Female Breast Cancer Patients with Non-Pathological Complete Response to Neoadjuvant Chemotherapy.
Lan A; Li H; Chen J; Shen M; Jin Y; Dai Y; Jiang L; Dai X; Peng Y; Liu S
J Pers Med; 2023 Jan; 13(2):. PubMed ID: 36836483
[TBL] [Abstract][Full Text] [Related]
4. Real-world data on breast pathologic complete response and disease-free survival after neoadjuvant chemotherapy for hormone receptor-positive, human epidermal growth factor receptor-2-negative breast cancer: a multicenter, retrospective study in China.
Guan D; Jie Q; Wu Y; Xu Y; Hong W; Meng X
World J Surg Oncol; 2022 Sep; 20(1):326. PubMed ID: 36175898
[TBL] [Abstract][Full Text] [Related]
5. Construction and validation of a prognostic nutritional index-based nomogram for predicting pathological complete response in breast cancer: a two-center study of 1,170 patients.
Qu F; Luo Y; Peng Y; Yu H; Sun L; Liu S; Zeng X
Front Immunol; 2023; 14():1335546. PubMed ID: 38274836
[TBL] [Abstract][Full Text] [Related]
6. Factors Affecting Pathologic Complete Response Following Neoadjuvant Chemotherapy in Breast Cancer: Development and Validation of a Predictive Nomogram.
Kim SY; Cho N; Choi Y; Lee SH; Ha SM; Kim ES; Chang JM; Moon WK
Radiology; 2021 May; 299(2):290-300. PubMed ID: 33754824
[TBL] [Abstract][Full Text] [Related]
7. Nomogram for predicting axillary lymph node pathological response in node-positive breast cancer patients after neoadjuvant chemotherapy.
Wang W; Wang X; Liu J; Zhu Q; Wang X; Wang P
Chin Med J (Engl); 2021 Dec; 135(3):333-340. PubMed ID: 35108228
[TBL] [Abstract][Full Text] [Related]
8. The Value of 18F-FDG PET/CT Imaging Combined With Pretherapeutic Ki67 for Early Prediction of Pathologic Response After Neoadjuvant Chemotherapy in Locally Advanced Breast Cancer.
Luo J; Zhou Z; Yang Z; Chen X; Cheng J; Shao Z; Guo X; Tuan J; Fu X; Yu X
Medicine (Baltimore); 2016 Feb; 95(8):e2914. PubMed ID: 26937935
[TBL] [Abstract][Full Text] [Related]
9. Development and Validation of a Nomogram for Individually Predicting Pathologic Complete Remission After Preoperative Chemotherapy in Chinese Breast Cancer: A Population-Based Study.
Hou N; Xiao J; Wang Z; Wu Y; Hou G; Guo L; Zhang J; Ling R
Clin Breast Cancer; 2020 Dec; 20(6):e682-e694. PubMed ID: 32713825
[TBL] [Abstract][Full Text] [Related]
10. Evaluation of Multiparametric MRI Radiomics-Based Nomogram in Prediction of Response to Neoadjuvant Chemotherapy in Breast Cancer: A Two-Center study.
Wang X; Hua H; Han J; Zhong X; Liu J; Chen J
Clin Breast Cancer; 2023 Aug; 23(6):e331-e344. PubMed ID: 37321954
[TBL] [Abstract][Full Text] [Related]
11. Construction and Validation of a Serum Albumin-to-Alkaline Phosphatase Ratio-Based Nomogram for Predicting Pathological Complete Response in Breast Cancer.
Qu F; Li Z; Lai S; Zhong X; Fu X; Huang X; Li Q; Liu S; Li H
Front Oncol; 2021; 11():681905. PubMed ID: 34692474
[TBL] [Abstract][Full Text] [Related]
12. Nomogram for Early Prediction of Pathological Complete Response to Neoadjuvant Chemotherapy in Breast Cancer Combining Both Clinicopathological and Imaging Indicators.
Wang H; Lu Y; Li Y; Li S; Zhang X; Geng C
Curr Probl Cancer; 2022 Dec; 46(6):100914. PubMed ID: 36351312
[TBL] [Abstract][Full Text] [Related]
13. Development of a novel nomogram-based online tool to predict axillary status after neoadjuvant chemotherapy in cN+ breast cancer: A multicentre study on 1,950 patients.
Corsi F; Albasini S; Sorrentino L; Armatura G; Carolla C; Chiappa C; Combi F; Curcio A; Della Valle A; Ferrari G; Gasparri ML; Gentilini O; Ghilli M; Listorti C; Mancini S; Marinello P; Meani F; Mele S; Pertusati A; Roncella M; Rovera F; Sgarella A; Tazzioli G; Tognali D; Folli S
Breast; 2021 Dec; 60():131-137. PubMed ID: 34624755
[TBL] [Abstract][Full Text] [Related]
14. A nomogram to predict pathologic complete response (pCR) and the value of tumor-infiltrating lymphocytes (TILs) for prediction of response to neoadjuvant chemotherapy (NAC) in breast cancer patients.
Hwang HW; Jung H; Hyeon J; Park YH; Ahn JS; Im YH; Nam SJ; Kim SW; Lee JE; Yu JH; Lee SK; Choi M; Cho SY; Cho EY
Breast Cancer Res Treat; 2019 Jan; 173(2):255-266. PubMed ID: 30324273
[TBL] [Abstract][Full Text] [Related]
15. Predictive factors of pathologic complete response of HER2-positive breast cancer after preoperative chemotherapy with trastuzumab: development of a specific predictor and study of its utilities using decision curve analysis.
Jankowski C; Guiu S; Cortet M; Charon-Barra C; Desmoulins I; Lorgis V; Arnould L; Fumoleau P; Coudert B; Rouzier R; Coutant C; Reyal F
Breast Cancer Res Treat; 2017 Jan; 161(1):73-81. PubMed ID: 27807808
[TBL] [Abstract][Full Text] [Related]
16. Radiomics of contrast-enhanced spectral mammography for prediction of pathological complete response to neoadjuvant chemotherapy in breast cancer.
Zhang K; Lin J; Lin F; Wang Z; Zhang H; Zhang S; Mao N; Qiao G
J Xray Sci Technol; 2023; 31(4):669-683. PubMed ID: 37066960
[TBL] [Abstract][Full Text] [Related]
17. [Construction of a nomogram prediction model for pathological complete response (pCR) of ipsilateral supraclavicular lymph node after neoadjuvant chemotherapy for breast cancer with first diagnosis of ipsilateral supraclavicular lymph node metastasis].
Lyu MH; Jiao DC; Wu JZ; Tian PQ; Ma YZ; Liu ZZ; Chen XC
Zhonghua Zhong Liu Za Zhi; 2022 Feb; 44(2):160-166. PubMed ID: 35184460
[No Abstract] [Full Text] [Related]
18. Radiomic Nomogram for Pretreatment Prediction of Pathologic Complete Response to Neoadjuvant Therapy in Breast Cancer: Predictive Value of Staging Contrast-enhanced CT.
Huang X; Mai J; Huang Y; He L; Chen X; Wu X; Li Y; Yang X; Dong M; Huang J; Zhang F; Liang C; Liu Z
Clin Breast Cancer; 2021 Aug; 21(4):e388-e401. PubMed ID: 33451965
[TBL] [Abstract][Full Text] [Related]
19. Computed Tomography-Based Radiomics Analysis for Prediction of Response to Neoadjuvant Chemotherapy in Breast Cancer Patients.
Duan Y; Yang G; Miao W; Song B; Wang Y; Yan L; Wu F; Zhang R; Mao Y; Wang Z
J Comput Assist Tomogr; 2023 Mar-Apr 01; 47(2):199-204. PubMed ID: 36790871
[TBL] [Abstract][Full Text] [Related]
20. Construction of Nomograms for Predicting Pathological Complete Response and Tumor Shrinkage Size in Breast Cancer.
Yan S; Wang W; Zhu B; Pan X; Wu X; Tao W
Cancer Manag Res; 2020; 12():8313-8323. PubMed ID: 32982426
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]