103 related articles for article (PubMed ID: 38309977)
21. 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]
22. Integration of ultrasound radiomics features and clinical factors: A nomogram model for identifying the Ki-67 status in patients with breast carcinoma.
Wu J; Fang Q; Yao J; Ge L; Hu L; Wang Z; Jin G
Front Oncol; 2022; 12():979358. PubMed ID: 36276108
[TBL] [Abstract][Full Text] [Related]
23. Noninvasive prediction of lymph node status for patients with early-stage cervical cancer based on radiomics features from ultrasound images.
Jin X; Ai Y; Zhang J; Zhu H; Jin J; Teng Y; Chen B; Xie C
Eur Radiol; 2020 Jul; 30(7):4117-4124. PubMed ID: 32078013
[TBL] [Abstract][Full Text] [Related]
24. Multiparametric MR Imaging Radiomics Signatures for Assessing the Recurrence Risk of ER+/HER2- Breast Cancer Quantified With 21-Gene Recurrence Score.
Chen Y; Tang W; Liu W; Li R; Wang Q; Shen X; Gong J; Gu Y; Peng W
J Magn Reson Imaging; 2023 Aug; 58(2):444-453. PubMed ID: 36440706
[TBL] [Abstract][Full Text] [Related]
25. A multiphase contrast-enhanced CT radiomics model for prediction of human epidermal growth factor receptor 2 status in advanced gastric cancer.
Ma T; Cui J; Wang L; Li H; Ye Z; Gao X
Front Genet; 2022; 13():968027. PubMed ID: 36276942
[No Abstract] [Full Text] [Related]
26. Association of Peritumoral Radiomics With Tumor Biology and Pathologic Response to Preoperative Targeted Therapy for HER2 (ERBB2)-Positive Breast Cancer.
Braman N; Prasanna P; Whitney J; Singh S; Beig N; Etesami M; Bates DDB; Gallagher K; Bloch BN; Vulchi M; Turk P; Bera K; Abraham J; Sikov WM; Somlo G; Harris LN; Gilmore H; Plecha D; Varadan V; Madabhushi A
JAMA Netw Open; 2019 Apr; 2(4):e192561. PubMed ID: 31002322
[TBL] [Abstract][Full Text] [Related]
27. A CT-based radiomics signature for prediction of HER2 overexpression and treatment efficacy of trastuzumab in advanced gastric cancer.
Ma T; Cui J; Wang L; Li H; Ye Z; Gao X
Transl Cancer Res; 2022 Dec; 11(12):4326-4337. PubMed ID: 36644192
[TBL] [Abstract][Full Text] [Related]
28. Development and validation of a clinicoradiomic nomogram to assess the HER2 status of patients with invasive ductal carcinoma.
Xu A; Chu X; Zhang S; Zheng J; Shi D; Lv S; Li F; Weng X
BMC Cancer; 2022 Aug; 22(1):872. PubMed ID: 35945526
[TBL] [Abstract][Full Text] [Related]
29. Mammography-based radiomics for predicting the risk of breast cancer recurrence: a multicenter study.
Mao N; Yin P; Zhang H; Zhang K; Song X; Xing D; Chu T
Br J Radiol; 2021 Nov; 94(1127):20210348. PubMed ID: 34520235
[TBL] [Abstract][Full Text] [Related]
30. The Value of Predicting Human Epidermal Growth Factor Receptor 2 Status in Adenocarcinoma of the Esophagogastric Junction on CT-Based Radiomics Nomogram.
Wang S; Chen Y; Zhang H; Liang Z; Bu J
Front Oncol; 2021; 11():707686. PubMed ID: 34722254
[TBL] [Abstract][Full Text] [Related]
31. Predictive value of radiomic signature based on 2-[
Liu J; Zhang Z; Bian H; Zhang Y; Ma W; Wang Z; Yin G; Dai D; Chen W; Zhu L; Xu W; Zhang H; Li X
Eur J Radiol; 2023 Oct; 167():111050. PubMed ID: 37598640
[TBL] [Abstract][Full Text] [Related]
32. Deep learning radiomics model based on breast ultrasound video to predict HER2 expression status.
Quan MY; Huang YX; Wang CY; Zhang Q; Chang C; Zhou SC
Front Endocrinol (Lausanne); 2023; 14():1144812. PubMed ID: 37143737
[TBL] [Abstract][Full Text] [Related]
33. Ultrasound-based deep learning radiomics in the assessment of pathological complete response to neoadjuvant chemotherapy in locally advanced breast cancer.
Jiang M; Li CL; Luo XM; Chuan ZR; Lv WZ; Li X; Cui XW; Dietrich CF
Eur J Cancer; 2021 Apr; 147():95-105. PubMed ID: 33639324
[TBL] [Abstract][Full Text] [Related]
34. A nomogram based on ultrasound radiomics for predicting the invasiveness of cN0 single papillary thyroid microcarcinoma.
Zhang M; Lyu S; Yang L; Wei H; Liu R; Wang X; Liu Y; Zhang B; Kwok JKS; Zhang Y
Gland Surg; 2023 Dec; 12(12):1735-1745. PubMed ID: 38229850
[TBL] [Abstract][Full Text] [Related]
35. Multiparametric MRI-based radiomics nomogram for predicting the hormone receptor status of HER2-positive breast cancer.
Sang L; Liu Z; Huang C; Xu J; Wang H
Clin Radiol; 2024 Jan; 79(1):60-66. PubMed ID: 37838543
[TBL] [Abstract][Full Text] [Related]
36. Development and validation of an ultrasound-based radiomics nomogram for predicting the luminal from non-luminal type in patients with breast carcinoma.
Wu J; Ge L; Jin Y; Wang Y; Hu L; Xu D; Wang Z
Front Oncol; 2022; 12():993466. PubMed ID: 36530981
[TBL] [Abstract][Full Text] [Related]
37. Radiomics of Spinal Metastases Originating From Primary Nonsmall Cell Lung Cancer or Breast Cancer and Ability to Predict Epidermal Growth Factor Receptor Mutation/Ki-67 Levels.
Niu S; Zhang H; Wang X; Jiang W
J Comput Assist Tomogr; 2023 Jul-Aug 01; 47(4):643-649. PubMed ID: 37380152
[TBL] [Abstract][Full Text] [Related]
38. Radiomics signatures for predicting the Ki-67 level and HER-2 status based on bone metastasis from primary breast cancer.
Zhang H; Niu S; Chen H; Wang L; Wang X; Wu Y; Shi J; Li Z; Hu Y; Yang Z; Jiang X
Front Cell Dev Biol; 2023; 11():1220320. PubMed ID: 38264355
[TBL] [Abstract][Full Text] [Related]
39. Radiomics Signatures Based on Multiparametric MRI for the Preoperative Prediction of the HER2 Status of Patients with Breast Cancer.
Zhou J; Tan H; Li W; Liu Z; Wu Y; Bai Y; Fu F; Jia X; Feng A; Liu H; Wang M
Acad Radiol; 2021 Oct; 28(10):1352-1360. PubMed ID: 32709582
[TBL] [Abstract][Full Text] [Related]
40. Magnetic Resonance Imaging-Based Radiomics Nomogram for Prediction of the Histopathological Grade of Soft Tissue Sarcomas: A Two-Center Study.
Yan R; Hao D; Li J; Liu J; Hou F; Chen H; Duan L; Huang C; Wang H; Yu T
J Magn Reson Imaging; 2021 Jun; 53(6):1683-1696. PubMed ID: 33604955
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]