115 related articles for article (PubMed ID: 36936199)
1. Development of a nomogram for predicting pathological complete response in luminal breast cancer patients following neoadjuvant chemotherapy.
Garufi G; Carbognin L; Sperduti I; Miglietta F; Dieci MV; Mazzeo R; Orlandi A; Gerratana L; Palazzo A; Fabi A; Paris I; Franco A; Franceschini G; Fiorio E; Pilotto S; Guarneri V; Puglisi F; Conte P; Milella M; Scambia G; Tortora G; Bria E
Ther Adv Med Oncol; 2023; 15():17588359221138657. PubMed ID: 36936199
[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. Nomogram based on quantitative dynamic contrast-enhanced magnetic resonance imaging, apparent diffusion coefficient, and clinicopathological features for early prediction of pathologic complete response in breast cancer patients receiving neoadjuvant chemotherapy.
He M; Su J; Ruan H; Song Y; Ma M; Xue F
Quant Imaging Med Surg; 2023 Jul; 13(7):4089-4102. PubMed ID: 37456283
[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. 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]
6. 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]
7. Early prediction of treatment response to neoadjuvant chemotherapy based on longitudinal ultrasound images of HER2-positive breast cancer patients by Siamese multi-task network: A multicentre, retrospective cohort study.
Liu Y; Wang Y; Wang Y; Xie Y; Cui Y; Feng S; Yao M; Qiu B; Shen W; Chen D; Du G; Chen X; Liu Z; Li Z; Yang X; Liang C; Wu L
EClinicalMedicine; 2022 Oct; 52():101562. PubMed ID: 35928032
[TBL] [Abstract][Full Text] [Related]
8. 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]
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. [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]
11. Prediction of axillary lymph node pathological complete response to neoadjuvant therapy using nomogram and machine learning methods.
Zhou T; Yang M; Wang M; Han L; Chen H; Wu N; Wang S; Wang X; Zhang Y; Cui D; Jin F; Qin P; Wang J
Front Oncol; 2022; 12():1046039. PubMed ID: 36353547
[TBL] [Abstract][Full Text] [Related]
12. A Nomogram to Predict Disease-Free Survival Following Neoadjuvant Chemotherapy for Triple Negative Breast Cancer.
Zhu M; Liang C; Zhang F; Zhu L; Chen D
Front Oncol; 2021; 11():690336. PubMed ID: 34745934
[TBL] [Abstract][Full Text] [Related]
13. Develop and Validate a Nomogram Combining Contrast-Enhanced Spectral Mammography Deep Learning with Clinical-Pathological Features to Predict Neoadjuvant Chemotherapy Response in Patients with ER-Positive/HER2-Negative Breast Cancer.
Xing D; Lv Y; Sun B; Chu T; Bao Q; Zhang H
Acad Radiol; 2024 Apr; ():. PubMed ID: 38641451
[TBL] [Abstract][Full Text] [Related]
14. An ultrasound-based nomogram model in the assessment of pathological complete response of neoadjuvant chemotherapy in breast cancer.
Liu J; Leng X; Liu W; Ma Y; Qiu L; Zumureti T; Zhang H; Mila Y
Front Oncol; 2024; 14():1285511. PubMed ID: 38500656
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. [Risk factor analysis on anastomotic leakage after laparoscopic surgery in rectal cancer patient with neoadjuvant therapy and establishment of a nomogram prediction model].
Jiang W; Feng MY; Dong XY; Dong SM; Zheng JX; Liu XM; Liu WJ; Yan J
Zhonghua Wei Chang Wai Ke Za Zhi; 2019 Aug; 22(8):748-754. PubMed ID: 31422613
[No Abstract] [Full Text] [Related]
17. A CT-based deep learning radiomics nomogram for predicting the response to neoadjuvant chemotherapy in patients with locally advanced gastric cancer: A multicenter cohort study.
Cui Y; Zhang J; Li Z; Wei K; Lei Y; Ren J; Wu L; Shi Z; Meng X; Yang X; Gao X
EClinicalMedicine; 2022 Apr; 46():101348. PubMed ID: 35340629
[TBL] [Abstract][Full Text] [Related]
18. Exploring the influencing factors of the pathologic complete response in estrogen receptor-positive, HER2-negative breast cancer after neoadjuvant chemotherapy: a retrospective study.
Tang L; Shu X; Tu G
World J Surg Oncol; 2022 Jan; 20(1):27. PubMed ID: 35093083
[TBL] [Abstract][Full Text] [Related]
19. Development and validation of a nomogram to predict pathological complete response in patients with locally advanced gastric adenocarcinoma treated with neoadjuvant chemotherapy in combination with PD-1 antibodies.
Li L; Chen G; Chen EY; Strickland MR; Zhao W; Zhang J; Li Z
J Gastrointest Oncol; 2023 Dec; 14(6):2373-2383. PubMed ID: 38196541
[TBL] [Abstract][Full Text] [Related]
20. Machine Learning-Based Radiomics Nomogram Using Magnetic Resonance Images for Prediction of Neoadjuvant Chemotherapy Efficacy in Breast Cancer Patients.
Chen S; Shu Z; Li Y; Chen B; Tang L; Mo W; Shao G; Shao F
Front Oncol; 2020; 10():1410. PubMed ID: 32923392
[No Abstract] [Full Text] [Related]
[Next] [New Search]
