135 related articles for article (PubMed ID: 38544918)
1. Radiomics approach to distinguish between benign and malignant soft tissue tumors on magnetic resonance imaging.
Xu L; Wang MY; Qi L; Zou YF; Fei-Yun WU; Sun XL
Eur J Radiol Open; 2024 Jun; 12():100555. PubMed ID: 38544918
[TBL] [Abstract][Full Text] [Related]
2. Application of BOLD
Deng Y; Pan L; Xing W; Zhou Z; Chen J
Zhong Nan Da Xue Xue Bao Yi Xue Ban; 2021 Sept 28; 46(9):1010-1017. PubMed ID: 34707012
[TBL] [Abstract][Full Text] [Related]
3. Radiomics nomogram for differentiating between benign and malignant soft-tissue masses of the extremities.
Wang H; Nie P; Wang Y; Xu W; Duan S; Chen H; Hao D; Liu J
J Magn Reson Imaging; 2020 Jan; 51(1):155-163. PubMed ID: 31169956
[TBL] [Abstract][Full Text] [Related]
4. Multi-parametric MRI-based radiomics for the diagnosis of malignant soft-tissue tumor.
Yue Z; Wang X; Yu T; Shang S; Liu G; Jing W; Yang H; Luo Y; Jiang X
Magn Reson Imaging; 2022 Sep; 91():91-99. PubMed ID: 35525523
[TBL] [Abstract][Full Text] [Related]
5. A contrast-enhanced MRI-based nomogram to identify lung metastasis in soft-tissue sarcoma: A multi-centre study.
Hu Y; Wang H; Yue Z; Wang X; Wang Y; Luo Y; Jiang W
Med Phys; 2023 May; 50(5):2961-2970. PubMed ID: 36433749
[TBL] [Abstract][Full Text] [Related]
6. Ensemble learning-based radiomics with multi-sequence magnetic resonance imaging for benign and malignant soft tissue tumor differentiation.
Lee S; Lee SY; Jung JY; Nam Y; Jeon HJ; Jung CK; Shin SH; Chung YG
PLoS One; 2023; 18(5):e0286417. PubMed ID: 37256875
[TBL] [Abstract][Full Text] [Related]
7. Radiomics Based on Multimodal MRI for the Differential Diagnosis of Benign and Malignant Breast Lesions.
Zhang Q; Peng Y; Liu W; Bai J; Zheng J; Yang X; Zhou L
J Magn Reson Imaging; 2020 Aug; 52(2):596-607. PubMed ID: 32061014
[TBL] [Abstract][Full Text] [Related]
8. Texture analysis of magnetic resonance image to differentiate benign from malignant myxoid soft tissue tumors: A retrospective comparative study.
Chang H; Kang Y; Ahn JM; Lee E; Lee JW; Kang HS
PLoS One; 2022; 17(5):e0267569. PubMed ID: 35587928
[TBL] [Abstract][Full Text] [Related]
9. Bi-parametric magnetic resonance imaging based radiomics for the identification of benign and malignant prostate lesions: cross-vendor validation.
Ji X; Zhang J; Shi W; He D; Bao J; Wei X; Huang Y; Liu Y; Chen JC; Gao X; Tang Y; Xia W
Phys Eng Sci Med; 2021 Sep; 44(3):745-754. PubMed ID: 34075559
[TBL] [Abstract][Full Text] [Related]
10. Radiomics signature on dynamic contrast-enhanced MR images: a potential imaging biomarker for prediction of microvascular invasion in mass-forming intrahepatic cholangiocarcinoma.
Zhou Y; Zhou G; Zhang J; Xu C; Wang X; Xu P
Eur Radiol; 2021 Sep; 31(9):6846-6855. PubMed ID: 33638019
[TBL] [Abstract][Full Text] [Related]
11. Radiomics Nomogram for Identifying Sub-1 cm Benign and Malignant Thyroid Lesions.
Wu X; Li J; Mou Y; Yao Y; Cui J; Mao N; Song X
Front Oncol; 2021; 11():580886. PubMed ID: 34164333
[TBL] [Abstract][Full Text] [Related]
12. Magnetic resonance imaging based radiomics signature for the preoperative discrimination of stage I-II and III-IV head and neck squamous cell carcinoma.
Ren J; Tian J; Yuan Y; Dong D; Li X; Shi Y; Tao X
Eur J Radiol; 2018 Sep; 106():1-6. PubMed ID: 30150029
[TBL] [Abstract][Full Text] [Related]
13. DCE-MRI based radiomics nomogram for preoperatively differentiating combined hepatocellular-cholangiocarcinoma from mass-forming intrahepatic cholangiocarcinoma.
Zhou Y; Zhou G; Zhang J; Xu C; Zhu F; Xu P
Eur Radiol; 2022 Jul; 32(7):5004-5015. PubMed ID: 35128572
[TBL] [Abstract][Full Text] [Related]
14. Radiomics analysis of multiparametric MRI for prediction of pathological complete response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer.
Cui Y; Yang X; Shi Z; Yang Z; Du X; Zhao Z; Cheng X
Eur Radiol; 2019 Mar; 29(3):1211-1220. PubMed ID: 30128616
[TBL] [Abstract][Full Text] [Related]
15. Preoperative diagnosis of malignant pulmonary nodules in lung cancer screening with a radiomics nomogram.
Liu A; Wang Z; Yang Y; Wang J; Dai X; Wang L; Lu Y; Xue F
Cancer Commun (Lond); 2020 Jan; 40(1):16-24. PubMed ID: 32125097
[TBL] [Abstract][Full Text] [Related]
16. Preoperative MRI-Based Radiomic Machine-Learning Nomogram May Accurately Distinguish Between Benign and Malignant Soft-Tissue Lesions: A Two-Center Study.
Wang H; Zhang J; Bao S; Liu J; Hou F; Huang Y; Chen H; Duan S; Hao D; Liu J
J Magn Reson Imaging; 2020 Sep; 52(3):873-882. PubMed ID: 32112598
[TBL] [Abstract][Full Text] [Related]
17. Radiomics derived from dynamic contrast-enhanced MRI pharmacokinetic protocol features: the value of precision diagnosis ovarian neoplasms.
Song XL; Ren JL; Zhao D; Wang L; Ren H; Niu J
Eur Radiol; 2021 Jan; 31(1):368-378. PubMed ID: 32767049
[TBL] [Abstract][Full Text] [Related]
18. Whole-tumor 3D volumetric MRI-based radiomics approach for distinguishing between benign and malignant soft tissue tumors.
Fields BKK; Demirjian NL; Hwang DH; Varghese BA; Cen SY; Lei X; Desai B; Duddalwar V; Matcuk GR
Eur Radiol; 2021 Nov; 31(11):8522-8535. PubMed ID: 33893534
[TBL] [Abstract][Full Text] [Related]
19. Thin-Slice Magnetic Resonance Imaging-Based Radiomics Signature Predicts Chromosomal 1p/19q Co-deletion Status in Grade II and III Gliomas.
Kong Z; Jiang C; Zhang Y; Liu S; Liu D; Liu Z; Chen W; Liu P; Yang T; Lyu Y; Zhao D; You H; Wang Y; Ma W; Feng F
Front Neurol; 2020; 11():551771. PubMed ID: 33192984
[No Abstract] [Full Text] [Related]
20. 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]
[Next] [New Search]
