268 related articles for article (PubMed ID: 33160860)
21. Value of the Application of CE-MRI Radiomics and Machine Learning in Preoperative Prediction of Sentinel Lymph Node Metastasis in Breast Cancer.
Zhu Y; Yang L; Shen H
Front Oncol; 2021; 11():757111. PubMed ID: 34868967
[TBL] [Abstract][Full Text] [Related]
22. MRI-Based Radiomics Nomogram: Prediction of Axillary Non-Sentinel Lymph Node Metastasis in Patients With Sentinel Lymph Node-Positive Breast Cancer.
Qiu Y; Zhang X; Wu Z; Wu S; Yang Z; Wang D; Le H; Mao J; Dai G; Tian X; Zhou R; Huang J; Hu L; Shen J
Front Oncol; 2022; 12():811347. PubMed ID: 35296027
[TBL] [Abstract][Full Text] [Related]
23. Intra- and peri-tumoral radiomics for predicting the sentinel lymph node metastasis in breast cancer based on preoperative mammography and MRI.
Cheng Y; Xu S; Wang H; Wang X; Niu S; Luo Y; Zhao N
Front Oncol; 2022; 12():1047572. PubMed ID: 36578933
[TBL] [Abstract][Full Text] [Related]
24. A mathematical prediction model incorporating molecular subtype for risk of non-sentinel lymph node metastasis in sentinel lymph node-positive breast cancer patients: a retrospective analysis and nomogram development.
Wang NN; Yang ZJ; Wang X; Chen LX; Zhao HM; Cao WF; Zhang B
Breast Cancer; 2018 Nov; 25(6):629-638. PubMed ID: 29696563
[TBL] [Abstract][Full Text] [Related]
25. Radiomics Analysis of Dynamic Contrast-Enhanced Magnetic Resonance Imaging for the Prediction of Sentinel Lymph Node Metastasis in Breast Cancer.
Liu J; Sun D; Chen L; Fang Z; Song W; Guo D; Ni T; Liu C; Feng L; Xia Y; Zhang X; Li C
Front Oncol; 2019; 9():980. PubMed ID: 31632912
[No Abstract] [Full Text] [Related]
26. Task-based assessment of a convolutional neural network for segmenting breast lesions for radiomic analysis.
Spuhler KD; Ding J; Liu C; Sun J; Serrano-Sosa M; Moriarty M; Huang C
Magn Reson Med; 2019 Aug; 82(2):786-795. PubMed ID: 30957936
[TBL] [Abstract][Full Text] [Related]
27. Preoperative ultrasound-based radiomics score can improve the accuracy of the Memorial Sloan Kettering Cancer Center nomogram for predicting sentinel lymph node metastasis in breast cancer.
Zha HL; Zong M; Liu XP; Pan JZ; Wang H; Gong HY; Xia TS; Liu XA; Li CY
Eur J Radiol; 2021 Feb; 135():109512. PubMed ID: 33429302
[TBL] [Abstract][Full Text] [Related]
28. Intratumoral and Peritumoral Radiomics Based on Functional Parametric Maps from Breast DCE-MRI for Prediction of HER-2 and Ki-67 Status.
Li C; Song L; Yin J
J Magn Reson Imaging; 2021 Sep; 54(3):703-714. PubMed ID: 33955619
[TBL] [Abstract][Full Text] [Related]
29. Imaging features of sentinel lymph node mapped by multidetector-row computed tomography lymphography in predicting axillary lymph node metastasis.
Ou X; Zhu J; Qu Y; Wang C; Wang B; Xu X; Wang Y; Wen H; Ma A; Liu X; Zou X; Wen Z
BMC Med Imaging; 2021 Dec; 21(1):193. PubMed ID: 34911489
[TBL] [Abstract][Full Text] [Related]
30. Development and Validation of a Preoperative Magnetic Resonance Imaging Radiomics-Based Signature to Predict Axillary Lymph Node Metastasis and Disease-Free Survival in Patients With Early-Stage Breast Cancer.
Yu Y; Tan Y; Xie C; Hu Q; Ouyang J; Chen Y; Gu Y; Li A; Lu N; He Z; Yang Y; Chen K; Ma J; Li C; Ma M; Li X; Zhang R; Zhong H; Ou Q; Zhang Y; He Y; Li G; Wu Z; Su F; Song E; Yao H
JAMA Netw Open; 2020 Dec; 3(12):e2028086. PubMed ID: 33289845
[TBL] [Abstract][Full Text] [Related]
31. Prediction of lymph node metastasis by tumor-infiltrating lymphocytes in T1 breast cancer.
Takada K; Kashiwagi S; Asano Y; Goto W; Kouhashi R; Yabumoto A; Morisaki T; Shibutani M; Takashima T; Fujita H; Hirakawa K; Ohira M
BMC Cancer; 2020 Jun; 20(1):598. PubMed ID: 32590956
[TBL] [Abstract][Full Text] [Related]
32. Intra- and Peritumoral Radiomics Model Based on Early DCE-MRI for Preoperative Prediction of Molecular Subtypes in Invasive Ductal Breast Carcinoma: A Multitask Machine Learning Study.
Zhang S; Wang X; Yang Z; Zhu Y; Zhao N; Li Y; He J; Sun H; Xie Z
Front Oncol; 2022; 12():905551. PubMed ID: 35814460
[TBL] [Abstract][Full Text] [Related]
33. Intra- and peritumoral radiomics on assessment of breast cancer molecular subtypes based on mammography and MRI.
Niu S; Jiang W; Zhao N; Jiang T; Dong Y; Luo Y; Yu T; Jiang X
J Cancer Res Clin Oncol; 2022 Jan; 148(1):97-106. PubMed ID: 34623517
[TBL] [Abstract][Full Text] [Related]
34. A Radiomics Model for Preoperative Predicting Sentinel Lymph Node Metastasis in Breast Cancer Based on Dynamic Contrast-Enhanced MRI.
Ma M; Jiang Y; Qin N; Zhang X; Zhang Y; Wang X; Wang X
Front Oncol; 2022; 12():884599. PubMed ID: 35734587
[TBL] [Abstract][Full Text] [Related]
35. Deep Learning vs. Radiomics for Predicting Axillary Lymph Node Metastasis of Breast Cancer Using Ultrasound Images: Don't Forget the Peritumoral Region.
Sun Q; Lin X; Zhao Y; Li L; Yan K; Liang D; Sun D; Li ZC
Front Oncol; 2020; 10():53. PubMed ID: 32083007
[No Abstract] [Full Text] [Related]
36. Prediction of additional lymph node involvement in breast cancer patients with positive sentinel lymph nodes.
Pohlodek K; Bozikova S; Meciarova I; Mucha V; Bartova M; Ondrias F
Neoplasma; 2016; 63(3):427-34. PubMed ID: 26925789
[TBL] [Abstract][Full Text] [Related]
37. Additional Nodal Disease Prediction in Breast Cancer with Sentinel Lymph Node Metastasis Based on Clinicopathological Features.
Orsaria P; Caredda E; Genova F; Materazzo M; Capuano I; Vanni G; Granai AV; DE Majo A; Portarena I; Sileri P; Petrella G; Palombi L; Buonomo OC
Anticancer Res; 2018 Apr; 38(4):2109-2117. PubMed ID: 29599329
[TBL] [Abstract][Full Text] [Related]
38. The effects of volume of interest delineation on MRI-based radiomics analysis: evaluation with two disease groups.
Zhang X; Zhong L; Zhang B; Zhang L; Du H; Lu L; Zhang S; Yang W; Feng Q
Cancer Imaging; 2019 Dec; 19(1):89. PubMed ID: 31864421
[TBL] [Abstract][Full Text] [Related]
39. Dynamic contrast-enhanced MRI radiomics nomogram for predicting axillary lymph node metastasis in breast cancer.
Song D; Yang F; Zhang Y; Guo Y; Qu Y; Zhang X; Zhu Y; Cui S
Cancer Imaging; 2022 Apr; 22(1):17. PubMed ID: 35379339
[TBL] [Abstract][Full Text] [Related]
40. Radiomics model based on features of axillary lymphatic nodes to predict axillary lymphatic node metastasis in breast cancer.
Tang Y; Che X; Wang W; Su S; Nie Y; Yang C
Med Phys; 2022 Dec; 49(12):7555-7566. PubMed ID: 35869750
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]