224 related articles for article (PubMed ID: 37162531)
1. Benign vs malignant vertebral compression fractures with MRI: a comparison between automatic deep learning network and radiologist's assessment.
Liu B; Jin Y; Feng S; Yu H; Zhang Y; Li Y
Eur Radiol; 2023 Jul; 33(7):5060-5068. PubMed ID: 37162531
[TBL] [Abstract][Full Text] [Related]
2. Proton density fat fraction (PDFF) MR imaging for differentiation of acute benign and neoplastic compression fractures of the spine.
Schmeel FC; Luetkens JA; Enkirch SJ; Feißt A; Endler CH; Schmeel LC; Wagenhäuser PJ; Träber F; Schild HH; Kukuk GM
Eur Radiol; 2018 Dec; 28(12):5001-5009. PubMed ID: 29858641
[TBL] [Abstract][Full Text] [Related]
3. Differentiation between benign and malignant vertebral compression fractures using qualitative and quantitative analysis of a single fast spin echo T2-weighted Dixon sequence.
Bacher S; Hajdu SD; Maeder Y; Dunet V; Hilbert T; Omoumi P
Eur Radiol; 2021 Dec; 31(12):9418-9427. PubMed ID: 34041569
[TBL] [Abstract][Full Text] [Related]
4. Quantitative evaluation of T2* relaxation times for the differentiation of acute benign and malignant vertebral body fractures.
Schmeel FC; Luetkens JA; Feißt A; Enkirch SJ; Endler CH; Wagenhäuser PJ; Schmeel LC; Träber F; Schild HH; Kukuk GM
Eur J Radiol; 2018 Nov; 108():59-65. PubMed ID: 30396672
[TBL] [Abstract][Full Text] [Related]
5. Automated Differentiation Between Osteoporotic Vertebral Fracture and Malignant Vertebral Fracture on MRI Using a Deep Convolutional Neural Network.
Yoda T; Maki S; Furuya T; Yokota H; Matsumoto K; Takaoka H; Miyamoto T; Okimatsu S; Shiga Y; Inage K; Orita S; Eguchi Y; Yamashita T; Masuda Y; Uno T; Ohtori S
Spine (Phila Pa 1976); 2022 Apr; 47(8):E347-E352. PubMed ID: 34919075
[TBL] [Abstract][Full Text] [Related]
6. A 3D Radiomics-Based Artificial Neural Network Model for Benign Versus Malignant Vertebral Compression Fracture Classification in MRI.
Chiari-Correia NS; Nogueira-Barbosa MH; Chiari-Correia RD; Azevedo-Marques PM
J Digit Imaging; 2023 Aug; 36(4):1565-1577. PubMed ID: 37253895
[TBL] [Abstract][Full Text] [Related]
7. Two-Stream Compare and Contrast Network for Vertebral Compression Fracture Diagnosis.
Feng S; Liu B; Zhang Y; Zhang X; Li Y
IEEE Trans Med Imaging; 2021 Sep; 40(9):2496-2506. PubMed ID: 33999815
[TBL] [Abstract][Full Text] [Related]
8. Differentiation of benign versus malignant indistinguishable vertebral compression fractures by different machine learning with MRI-based radiomic features.
Zhang H; Yuan G; Wang C; Zhao H; Zhu K; Guo J; Chen M; Liu H; Yang G; Wang Y; Ma X
Eur Radiol; 2023 Jul; 33(7):5069-5076. PubMed ID: 37099176
[TBL] [Abstract][Full Text] [Related]
9. Research synthesis: what is the diagnostic performance of magnetic resonance imaging to discriminate benign from malignant vertebral compression fractures? Systematic review and meta-analysis.
Thawait SK; Marcus MA; Morrison WB; Klufas RA; Eng J; Carrino JA
Spine (Phila Pa 1976); 2012 May; 37(12):E736-44. PubMed ID: 22210011
[TBL] [Abstract][Full Text] [Related]
10. Differentiating Benign from Malignant Renal Tumors Using T2- and Diffusion-Weighted Images: A Comparison of Deep Learning and Radiomics Models Versus Assessment from Radiologists.
Xu Q; Zhu Q; Liu H; Chang L; Duan S; Dou W; Li S; Ye J
J Magn Reson Imaging; 2022 Apr; 55(4):1251-1259. PubMed ID: 34462986
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. Malignant versus benign vertebral compression fractures: can we use bone SPECT as a substitute for MR imaging?
Tokuda O; Harada Y; Ueda T; Ohishi Y; Matsunaga N
Nucl Med Commun; 2011 Mar; 32(3):192-8. PubMed ID: 21150808
[TBL] [Abstract][Full Text] [Related]
13. Radiomics Nomograms Based on Non-enhanced MRI and Clinical Risk Factors for the Differentiation of Chondrosarcoma from Enchondroma.
Pan J; Zhang K; Le H; Jiang Y; Li W; Geng Y; Li S; Hong G
J Magn Reson Imaging; 2021 Oct; 54(4):1314-1323. PubMed ID: 33949727
[TBL] [Abstract][Full Text] [Related]
14. Diagnostic efficiency of multi-modal MRI based deep learning with Sobel operator in differentiating benign and malignant breast mass lesions-a retrospective study.
Tang W; Zhang M; Xu C; Shao Y; Tang J; Gong S; Dong H; Sheng M
PeerJ Comput Sci; 2023; 9():e1460. PubMed ID: 37547396
[TBL] [Abstract][Full Text] [Related]
15. Acute benign vertebral compression fractures: "see-through sign" on contrast-enhanced MR images.
Lee E; Lee JW; Lee J; Lee GY; Kang WY; Yoo BR; Shin YJ; Ahn JM; Kang HS
Eur Spine J; 2016 Nov; 25(11):3470-3477. PubMed ID: 26538157
[TBL] [Abstract][Full Text] [Related]
16. Differential diagnosis of benign and malignant vertebral compression fractures: Comparison and correlation of radiomics and deep learning frameworks based on spinal CT and clinical characteristics.
Duan S; Hua Y; Cao G; Hu J; Cui W; Zhang D; Xu S; Rong T; Liu B
Eur J Radiol; 2023 Aug; 165():110899. PubMed ID: 37300935
[TBL] [Abstract][Full Text] [Related]
17. Deep learning-based reconstruction for acceleration of lumbar spine MRI: a prospective comparison with standard MRI.
Yoo H; Yoo RE; Choi SH; Hwang I; Lee JY; Seo JY; Koh SY; Choi KS; Kang KM; Yun TJ
Eur Radiol; 2023 Dec; 33(12):8656-8668. PubMed ID: 37498386
[TBL] [Abstract][Full Text] [Related]
18. A Deep Convolutional Neural Network With Performance Comparable to Radiologists for Differentiating Between Spinal Schwannoma and Meningioma.
Maki S; Furuya T; Horikoshi T; Yokota H; Mori Y; Ota J; Kawasaki Y; Miyamoto T; Norimoto M; Okimatsu S; Shiga Y; Inage K; Orita S; Takahashi H; Suyari H; Uno T; Ohtori S
Spine (Phila Pa 1976); 2020 May; 45(10):694-700. PubMed ID: 31809468
[TBL] [Abstract][Full Text] [Related]
19. Assessing the Feasibility of Simplifying the Scanning Protocol for Spinal Metastases With Vertebral Compression Fractures Using Only the Dixon T2-Weighted Sequence.
Jiang J; Miao L; Zhang L; Shi Z; Zhang H; Wen X; Hu S; Xu L; Gong L; Li M
J Comput Assist Tomogr; 2024 Apr; ():. PubMed ID: 38595136
[TBL] [Abstract][Full Text] [Related]
20. Shape, texture and statistical features for classification of benign and malignant vertebral compression fractures in magnetic resonance images.
Frighetto-Pereira L; Rangayyan RM; Metzner GA; de Azevedo-Marques PM; Nogueira-Barbosa MH
Comput Biol Med; 2016 Jun; 73():147-56. PubMed ID: 27111110
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
