These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
253 related articles for article (PubMed ID: 35138938)
1. Ultrasound-based radiomics nomogram for differentiation of triple-negative breast cancer from fibroadenoma. Du Y; Zha HL; Wang H; Liu XP; Pan JZ; Du LW; Cai MJ; Zong M; Li CY Br J Radiol; 2022 May; 95(1133):20210598. PubMed ID: 35138938 [TBL] [Abstract][Full Text] [Related]
2. Radiomics features on ultrasound imaging for the prediction of disease-free survival in triple negative breast cancer: a multi-institutional study. Yu F; Hang J; Deng J; Yang B; Wang J; Ye X; Liu Y Br J Radiol; 2021 Oct; 94(1126):20210188. PubMed ID: 34478336 [TBL] [Abstract][Full Text] [Related]
3. A Nomogram Based on Radiomics with Mammography Texture Analysis for the Prognostic Prediction in Patients with Triple-Negative Breast Cancer. Jiang X; Zou X; Sun J; Zheng A; Su C Contrast Media Mol Imaging; 2020; 2020():5418364. PubMed ID: 32922222 [TBL] [Abstract][Full Text] [Related]
4. Nomogram Based on Shear-Wave Elastography Radiomics Can Improve Preoperative Cervical Lymph Node Staging for Papillary Thyroid Carcinoma. Jiang M; Li C; Tang S; Lv W; Yi A; Wang B; Yu S; Cui X; Dietrich CF Thyroid; 2020 Jun; 30(6):885-897. PubMed ID: 32027225 [No Abstract] [Full Text] [Related]
5. 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]
6. Radiomics of US texture features in differential diagnosis between triple-negative breast cancer and fibroadenoma. Lee SE; Han K; Kwak JY; Lee E; Kim EK Sci Rep; 2018 Sep; 8(1):13546. PubMed ID: 30202040 [TBL] [Abstract][Full Text] [Related]
7. A CT-based radiomics nomogram for differentiation of focal nodular hyperplasia from hepatocellular carcinoma in the non-cirrhotic liver. Nie P; Yang G; Guo J; Chen J; Li X; Ji Q; Wu J; Cui J; Xu W Cancer Imaging; 2020 Feb; 20(1):20. PubMed ID: 32093786 [TBL] [Abstract][Full Text] [Related]
8. A CT-based radiomics nomogram for differentiation of renal angiomyolipoma without visible fat from homogeneous clear cell renal cell carcinoma. Nie P; Yang G; Wang Z; Yan L; Miao W; Hao D; Wu J; Zhao Y; Gong A; Cui J; Jia Y; Niu H Eur Radiol; 2020 Feb; 30(2):1274-1284. PubMed ID: 31506816 [TBL] [Abstract][Full Text] [Related]
9. Nomogram based on radiomics analysis of ultrasound images can improve preoperative Tang J; Jiang S; Ma J; Xi X; Li H; Wang L; Zhang B Front Endocrinol (Lausanne); 2022; 13():915135. PubMed ID: 36060960 [TBL] [Abstract][Full Text] [Related]
10. Construction and validation of a personalized nomogram of ultrasound for pretreatment prediction of breast cancer patients sensitive to neoadjuvant chemotherapy. Zhang MQ; Du Y; Zha HL; Liu XP; Cai MJ; Chen ZH; Chen R; Wang J; Wang SJ; Zhang JL; Li CY Br J Radiol; 2022 Dec; 95(1140):20220626. PubMed ID: 36378247 [TBL] [Abstract][Full Text] [Related]
11. Development and Validation of a Nomogram Based on DCE-MRI Radiomics for Predicting Hypoxia-Inducible Factor 1α Expression in Locally Advanced Rectal Cancer. Li Z; Huang H; Zhao Z; Ma W; Mao H; Liu F; Yang Y; Wang D; Lu Z Acad Radiol; 2024 Dec; 31(12):4923-4933. PubMed ID: 38816315 [TBL] [Abstract][Full Text] [Related]
12. Utilizing grayscale ultrasound-based radiomics nomogram for preoperative identification of triple negative breast cancer. Xu M; Zeng S; Li F; Liu G Radiol Med; 2024 Jan; 129(1):29-37. PubMed ID: 37919521 [TBL] [Abstract][Full Text] [Related]
13. A predictive clinical-radiomics nomogram for diagnosing of axial spondyloarthritis using MRI and clinical risk factors. Ye L; Miao S; Xiao Q; Liu Y; Tang H; Li B; Liu J; Chen D Rheumatology (Oxford); 2022 Apr; 61(4):1440-1447. PubMed ID: 34247247 [TBL] [Abstract][Full Text] [Related]
14. Ultrasound-based nomogram to predict the recurrence in papillary thyroid carcinoma using machine learning. Zhou B; Liu J; Yang Y; Ye X; Liu Y; Mao M; Sun X; Cui X; Zhou Q BMC Cancer; 2024 Jul; 24(1):810. PubMed ID: 38972977 [TBL] [Abstract][Full Text] [Related]
15. Development of an ultrasound-based radiomics nomogram to preoperatively predict Ki-67 expression level in patients with breast cancer. Liu J; Wang X; Hu M; Zheng Y; Zhu L; Wang W; Hu J; Zhou Z; Dai Y; Dong F Front Oncol; 2022; 12():963925. PubMed ID: 36046035 [TBL] [Abstract][Full Text] [Related]
16. Radiomics Based on T2-Weighted Imaging and Apparent Diffusion Coefficient Images for Preoperative Evaluation of Lymph Node Metastasis in Rectal Cancer Patients. Li C; Yin J Front Oncol; 2021; 11():671354. PubMed ID: 34041033 [TBL] [Abstract][Full Text] [Related]
17. An MRI-Based Radiomics Nomogram for Differentiation of Benign and Malignant Vertebral Compression Fracture. Feng Q; Xu S; Gong X; Wang T; He X; Liao D; Han F Acad Radiol; 2024 Feb; 31(2):605-616. PubMed ID: 37586940 [TBL] [Abstract][Full Text] [Related]
18. A nomogram based on pretreatment CT radiomics features for predicting complete response to chemoradiotherapy in patients with esophageal squamous cell cancer. Luo HS; Huang SF; Xu HY; Li XY; Wu SX; Wu DH Radiat Oncol; 2020 Oct; 15(1):249. PubMed ID: 33121507 [TBL] [Abstract][Full Text] [Related]
19. A Computed Tomography Radiomics Nomogram in Differentiating Chordoma From Giant Cell Tumor in the Axial Skeleton. Nie P; Zhao X; Wang N; Ma J; Zuo P; Hao D; Yu T J Comput Assist Tomogr; 2023 May-Jun 01; 47(3):453-459. PubMed ID: 37185010 [TBL] [Abstract][Full Text] [Related]
20. 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] [Next] [New Search]