124 related articles for article (PubMed ID: 38631535)
21. Nomogram Based on Breast MRI and Clinicopathologic Features for Predicting Axillary Lymph Node Metastasis in Patients with Early-Stage Invasive Breast Cancer: A Retrospective Study.
Xue M; Che S; Tian Y; Xie L; Huang L; Zhao L; Guo N; Li J
Clin Breast Cancer; 2022 Jun; 22(4):e428-e437. PubMed ID: 34865995
[TBL] [Abstract][Full Text] [Related]
22. MRI-based multiregional radiomics for predicting lymph nodes status and prognosis in patients with resectable rectal cancer.
Li H; Chen XL; Liu H; Lu T; Li ZL
Front Oncol; 2022; 12():1087882. PubMed ID: 36686763
[TBL] [Abstract][Full Text] [Related]
23. Nomogram models for stratified prediction of axillary lymph node metastasis in breast cancer patients (cN0).
Gao X; Luo W; He L; Yang L
Front Endocrinol (Lausanne); 2022; 13():967062. PubMed ID: 36111297
[TBL] [Abstract][Full Text] [Related]
24. Automated Breast Ultrasound (ABUS)-based radiomics nomogram: an individualized tool for predicting axillary lymph node tumor burden in patients with early breast cancer.
Chen Y; Xie Y; Li B; Shao H; Na Z; Wang Q; Jing H
BMC Cancer; 2023 Apr; 23(1):340. PubMed ID: 37055722
[TBL] [Abstract][Full Text] [Related]
25. Preoperative prediction of lymphovascular invasion in invasive breast cancer with dynamic contrast-enhanced-MRI-based radiomics.
Liu Z; Feng B; Li C; Chen Y; Chen Q; Li X; Guan J; Chen X; Cui E; Li R; Li Z; Long W
J Magn Reson Imaging; 2019 Sep; 50(3):847-857. PubMed ID: 30773770
[TBL] [Abstract][Full Text] [Related]
26. 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]
27. Ultrasound-based radiomics nomogram for predicting axillary lymph node metastasis in early-stage breast cancer.
Zhang W; Wang S; Wang Y; Sun J; Wei H; Xue W; Dong X; Wang X
Radiol Med; 2024 Feb; 129(2):211-221. PubMed ID: 38280058
[TBL] [Abstract][Full Text] [Related]
28. 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]
29. Could Ultrasound-Based Radiomics Noninvasively Predict Axillary Lymph Node Metastasis in Breast Cancer?
Qiu X; Jiang Y; Zhao Q; Yan C; Huang M; Jiang T
J Ultrasound Med; 2020 Oct; 39(10):1897-1905. PubMed ID: 32329142
[TBL] [Abstract][Full Text] [Related]
30. A nomogram to predict the probability of axillary lymph node metastasis in female patients with breast cancer in China: A nationwide, multicenter, 10-year epidemiological study.
Zhang J; Li X; Huang R; Feng WL; Kong YN; Xu F; Zhao L; Song QK; Li J; Zhang BN; Fan JH; Qiao YL; Xie XM; Zheng S; He JJ; Wang K
Oncotarget; 2017 May; 8(21):35311-35325. PubMed ID: 27852049
[TBL] [Abstract][Full Text] [Related]
31. 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]
32. Radiomics model based on shear-wave elastography in the assessment of axillary lymph node status in early-stage breast cancer.
Jiang M; Li CL; Luo XM; Chuan ZR; Chen RX; Tang SC; Lv WZ; Cui XW; Dietrich CF
Eur Radiol; 2022 Apr; 32(4):2313-2325. PubMed ID: 34671832
[TBL] [Abstract][Full Text] [Related]
33. Radiomics in cone-beam breast CT for the prediction of axillary lymph node metastasis in breast cancer: a multi-center multi-device study.
Zhu Y; Ma Y; Zhai Z; Liu A; Wang Y; Zhang Y; Li H; Zhao M; Han P; Yin L; He N; Wu Y; Sechopoulos I; Ye Z; Caballo M
Eur Radiol; 2024 Apr; 34(4):2576-2589. PubMed ID: 37782338
[TBL] [Abstract][Full Text] [Related]
34. Construction and validation of a nomogram prediction model for axillary lymph node metastasis of cT1 invasive breast cancer.
Wang S; Wang D; Wen X; Xu X; Liu D; Tian J
Eur J Cancer Prev; 2024 Jul; 33(4):309-320. PubMed ID: 37997911
[TBL] [Abstract][Full Text] [Related]
35. Development and Validation of a Computed Tomography-Based Radiomics Nomogram for the Preoperative Prediction of Central Lymph Node Metastasis in Papillary Thyroid Microcarcinoma.
Mou Y; Han X; Li J; Yu P; Wang C; Song Z; Wang X; Zhang M; Zhang H; Mao N; Song X
Acad Radiol; 2024 May; 31(5):1805-1817. PubMed ID: 38071100
[TBL] [Abstract][Full Text] [Related]
36. [Preoperative prediction of HER-2 expression status in breast cancer based on MRI radiomics model].
Zhang Y; Huang H; Yin L; Wang ZX; Lu SY; Wang XX; Xiang LL; Zhang Q; Zhang JL; Shan XH
Zhonghua Zhong Liu Za Zhi; 2024 May; 46(5):428-437. PubMed ID: 38742356
[No Abstract] [Full Text] [Related]
37. Development and Validation of a Nomogram for Predicting Axillary Lymph Node Metastasis in Breast Cancer.
Li X; Yang L; Jiao X
Clin Breast Cancer; 2023 Jul; 23(5):538-545. PubMed ID: 37137800
[TBL] [Abstract][Full Text] [Related]
38. Non-invasive Assessment of Axillary Lymph Node Metastasis Risk in Early Invasive Breast Cancer Adopting Automated Breast Volume Scanning-Based Radiomics Nomogram: A Multicenter Study.
Wang H; Yang XW; Chen F; Qin YY; Li XB; Ma SM; Lei JQ; Nan CL; Zhang WY; Chen W; Guo SL
Ultrasound Med Biol; 2023 May; 49(5):1202-1211. PubMed ID: 36746744
[TBL] [Abstract][Full Text] [Related]
39. MRI-based multiregional radiomics for preoperative prediction of tumor deposit and prognosis in resectable rectal cancer: a bicenter study.
Li H; Chen XL; Liu H; Liu YS; Li ZL; Pang MH; Pu H
Eur Radiol; 2023 Nov; 33(11):7561-7572. PubMed ID: 37160427
[TBL] [Abstract][Full Text] [Related]
40. Ultrasound radiomics-based nomogram to predict lymphovascular invasion in invasive breast cancer: a multicenter, retrospective study.
Du Y; Cai M; Zha H; Chen B; Gu J; Zhang M; Liu W; Liu X; Liu X; Zong M; Li C
Eur Radiol; 2024 Jan; 34(1):136-148. PubMed ID: 37518678
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]