140 related articles for article (PubMed ID: 37270368)
1. Deep Learning Model Based on Dual-Modal Ultrasound and Molecular Data for Predicting Response to Neoadjuvant Chemotherapy in Breast Cancer.
Huang JX; Shi J; Ding SS; Zhang HL; Wang XY; Lin SY; Xu YF; Wei MJ; Liu LZ; Pei XQ
Acad Radiol; 2023 Sep; 30 Suppl 2():S50-S61. PubMed ID: 37270368
[TBL] [Abstract][Full Text] [Related]
2. Delta Radiomics Based on Longitudinal Dual-modal Ultrasound Can Early Predict Response to Neoadjuvant Chemotherapy in Breast Cancer Patients.
Huang JX; Wu L; Wang XY; Lin SY; Xu YF; Wei MJ; Pei XQ
Acad Radiol; 2024 May; 31(5):1738-1747. PubMed ID: 38057180
[TBL] [Abstract][Full Text] [Related]
3. Pretreatment ultrasound-based deep learning radiomics model for the early prediction of pathologic response to neoadjuvant chemotherapy in breast cancer.
Yu FH; Miao SM; Li CY; Hang J; Deng J; Ye XH; Liu Y
Eur Radiol; 2023 Aug; 33(8):5634-5644. PubMed ID: 36976336
[TBL] [Abstract][Full Text] [Related]
4. Deep learning radiomics of ultrasonography for comprehensively predicting tumor and axillary lymph node status after neoadjuvant chemotherapy in breast cancer patients: A multicenter study.
Gu J; Tong T; Xu D; Cheng F; Fang C; He C; Wang J; Wang B; Yang X; Wang K; Tian J; Jiang T
Cancer; 2023 Feb; 129(3):356-366. PubMed ID: 36401611
[TBL] [Abstract][Full Text] [Related]
5. Deep learning radiomics of ultrasonography can predict response to neoadjuvant chemotherapy in breast cancer at an early stage of treatment: a prospective study.
Gu J; Tong T; He C; Xu M; Yang X; Tian J; Jiang T; Wang K
Eur Radiol; 2022 Mar; 32(3):2099-2109. PubMed ID: 34654965
[TBL] [Abstract][Full Text] [Related]
6. Combining conventional ultrasound and sonoelastography to predict axillary status after neoadjuvant chemotherapy for breast cancer.
Huang JX; Lin SY; Ou Y; Shi CG; Zhong Y; Wei MJ; Pei XQ
Eur Radiol; 2022 Sep; 32(9):5986-5996. PubMed ID: 35364714
[TBL] [Abstract][Full Text] [Related]
7. Quantitative ultrasound radiomics in predicting response to neoadjuvant chemotherapy in patients with locally advanced breast cancer: Results from multi-institutional study.
DiCenzo D; Quiaoit K; Fatima K; Bhardwaj D; Sannachi L; Gangeh M; Sadeghi-Naini A; Dasgupta A; Kolios MC; Trudeau M; Gandhi S; Eisen A; Wright F; Look Hong N; Sahgal A; Stanisz G; Brezden C; Dinniwell R; Tran WT; Yang W; Curpen B; Czarnota GJ
Cancer Med; 2020 Aug; 9(16):5798-5806. PubMed ID: 32602222
[TBL] [Abstract][Full Text] [Related]
8. Combination of shear wave elastography and Ki-67 index as a novel predictive modality for the pathological response to neoadjuvant chemotherapy in patients with invasive breast cancer.
Ma Y; Zhang S; Zang L; Li J; Li J; Kang Y; Ren W
Eur J Cancer; 2016 Dec; 69():86-101. PubMed ID: 27821323
[TBL] [Abstract][Full Text] [Related]
9. Multi-input deep learning architecture for predicting breast tumor response to chemotherapy using quantitative MR images.
El Adoui M; Drisis S; Benjelloun M
Int J Comput Assist Radiol Surg; 2020 Sep; 15(9):1491-1500. PubMed ID: 32556920
[TBL] [Abstract][Full Text] [Related]
10. Prediction of complete response after neoadjuvant chemotherapy for invasive breast cancers: The utility of shear wave elastography and superb microvascular imaging in pretreatment breast ultrasound.
Lee EJ; Chang YW
Eur J Radiol; 2024 Jun; 175():111432. PubMed ID: 38554672
[TBL] [Abstract][Full Text] [Related]
11. Can multi-modal radiomics using pretreatment ultrasound and tomosynthesis predict response to neoadjuvant systemic treatment in breast cancer?
Cai L; Sidey-Gibbons C; Nees J; Riedel F; Schäfgen B; Togawa R; Killinger K; Heil J; Pfob A; Golatta M
Eur Radiol; 2024 Apr; 34(4):2560-2573. PubMed ID: 37707548
[TBL] [Abstract][Full Text] [Related]
12. Convolutional neural network based on automatic segmentation of peritumoral shear-wave elastography images for predicting breast cancer.
Xie L; Liu Z; Pei C; Liu X; Cui YY; He NA; Hu L
Front Oncol; 2023; 13():1099650. PubMed ID: 36865812
[TBL] [Abstract][Full Text] [Related]
13. Radiomics features based on automatic segmented MRI images: Prognostic biomarkers for triple-negative breast cancer treated with neoadjuvant chemotherapy.
Ma M; Gan L; Liu Y; Jiang Y; Xin L; Liu Y; Qin N; Cheng Y; Liu Q; Xu L; Zhang Y; Wang X; Zhang X; Ye J; Wang X
Eur J Radiol; 2022 Jan; 146():110095. PubMed ID: 34890936
[TBL] [Abstract][Full Text] [Related]
14. A machine learning model that classifies breast cancer pathologic complete response on MRI post-neoadjuvant chemotherapy.
Sutton EJ; Onishi N; Fehr DA; Dashevsky BZ; Sadinski M; Pinker K; Martinez DF; Brogi E; Braunstein L; Razavi P; El-Tamer M; Sacchini V; Deasy JO; Morris EA; Veeraraghavan H
Breast Cancer Res; 2020 May; 22(1):57. PubMed ID: 32466777
[TBL] [Abstract][Full Text] [Related]
15. Multi-center evaluation of artificial intelligent imaging and clinical models for predicting neoadjuvant chemotherapy response in breast cancer.
Qi TH; Hian OH; Kumaran AM; Tan TJ; Cong TRY; Su-Xin GL; Lim EH; Ng R; Yeo MCR; Tching FLLW; Zewen Z; Hui CYS; Xin WR; Ooi SKG; Leong LCH; Tan SM; Preetha M; Sim Y; Tan VKM; Yeong J; Yong WF; Cai Y; Nei WL; ;
Breast Cancer Res Treat; 2022 May; 193(1):121-138. PubMed ID: 35262831
[TBL] [Abstract][Full Text] [Related]
16. Prediction of response to neoadjuvant chemotherapy in breast cancer with recurrent neural networks and raw ultrasound signals.
Byra M; Dobruch-Sobczak K; Piotrzkowska-Wroblewska H; Klimonda Z; Litniewski J
Phys Med Biol; 2022 Sep; 67(18):. PubMed ID: 36001984
[No Abstract] [Full Text] [Related]
17. Comparison of strain and shear-wave ultrasounic elastography in predicting the pathological response to neoadjuvant chemotherapy in breast cancers.
Ma Y; Zhang S; Li J; Li J; Kang Y; Ren W
Eur Radiol; 2017 Jun; 27(6):2282-2291. PubMed ID: 27752835
[TBL] [Abstract][Full Text] [Related]
18. Deep Learning-Based Radiomics of B-Mode Ultrasonography and Shear-Wave Elastography: Improved Performance in Breast Mass Classification.
Zhang X; Liang M; Yang Z; Zheng C; Wu J; Ou B; Li H; Wu X; Luo B; Shen J
Front Oncol; 2020; 10():1621. PubMed ID: 32984032
[TBL] [Abstract][Full Text] [Related]
19. [The application of 3-dimensional shear wave elastography in the therapeutic effect evaluation of neoadjuvant chemotherapy for Her-2 positive breast cancer patients].
Ma BX; Fan ZN; Wu G
Zhonghua Zhong Liu Za Zhi; 2020 Dec; 42(12):1049-1054. PubMed ID: 33342163
[No Abstract] [Full Text] [Related]
20. Management of breast lesions seen on US images: dual-model radiomics including shear-wave elastography may match performance of expert radiologists.
Jiang M; Li CL; Chen RX; Tang SC; Lv WZ; Luo XM; Chuan ZR; Jin CY; Liao JT; Cui XW; Dietrich CF
Eur J Radiol; 2021 Aug; 141():109781. PubMed ID: 34029933
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
