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153 related items for PubMed ID: 38982652

  • 1. Radiomics Based on Multimodal magnetic resonance imaging for the Differential Diagnosis of Benign and Malignant Vertebral Compression Fractures.
    Geng W, Zhu J, Li M, Pi B, Wang X, Xing J, Xu H, Yang H.
    Orthop Surg; 2024 Oct; 16(10):2464-2474. PubMed ID: 38982652
    [Abstract] [Full Text] [Related]

  • 2. Differentiation of acute and chronic vertebral compression fractures using conventional CT based on deep transfer learning features and hand-crafted radiomics features.
    Zhang J, Liu J, Liang Z, Xia L, Zhang W, Xing Y, Zhang X, Tang G.
    BMC Musculoskelet Disord; 2023 Mar 06; 24(1):165. PubMed ID: 36879285
    [Abstract] [Full Text] [Related]

  • 3. Development and validation of a radiomics-based model for predicting osteoporosis in patients with lumbar compression fractures.
    Nian S, Zhao Y, Li C, Zhu K, Li N, Li W, Chen J.
    Spine J; 2024 Sep 06; 24(9):1625-1634. PubMed ID: 38679078
    [Abstract] [Full Text] [Related]

  • 4. 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 06; 28(12):5001-5009. PubMed ID: 29858641
    [Abstract] [Full Text] [Related]

  • 5. 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 06; 31(2):605-616. PubMed ID: 37586940
    [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 06; 36(4):1565-1577. PubMed ID: 37253895
    [Abstract] [Full Text] [Related]

  • 7. 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 06; 165():110899. PubMed ID: 37300935
    [Abstract] [Full Text] [Related]

  • 8. Differentiation of usual vertebral compression fractures using CT histogram analysis as quantitative biomarkers: A proof-of-principle study.
    Lv M, Zhou Z, Tang Q, Xu J, Huang Q, Lu L, Duan S, Zhu J, Li H.
    Eur J Radiol; 2020 Oct 06; 131():109264. PubMed ID: 32920220
    [Abstract] [Full Text] [Related]

  • 9. [Value of radiomics models based on MRI diffusion weighted imaging and apparent diffusion coefficient in differentiating benign and malignant thyroid nodules].
    Xu HJ, Yang Q, He P, Luo HH, Deng WM, Liu Z, Luo DH.
    Zhonghua Yi Xue Za Zhi; 2023 Nov 07; 103(41):3279-3286. PubMed ID: 37926572
    [Abstract] [Full Text] [Related]

  • 10. Machine learning models based on CT radiomics features for distinguishing benign and malignant vertebral compression fractures in patients with malignant tumors.
    Wan Y, Miao L, Zhang H, Wang Y, Li X, Li M, Zhang L.
    Acta Radiol; 2024 Nov 07; 65(11):1359-1367. PubMed ID: 39351680
    [Abstract] [Full Text] [Related]

  • 11. Constructing a Deep Learning Radiomics Model Based on X-ray Images and Clinical Data for Predicting and Distinguishing Acute and Chronic Osteoporotic Vertebral Fractures: A Multicenter Study.
    Zhang J, Xia L, Tang J, Xia J, Liu Y, Zhang W, Liu J, Liang Z, Zhang X, Zhang L, Tang G.
    Acad Radiol; 2024 May 07; 31(5):2011-2026. PubMed ID: 38016821
    [Abstract] [Full Text] [Related]

  • 12. 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 20; 37(12):E736-44. PubMed ID: 22210011
    [Abstract] [Full Text] [Related]

  • 13. 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 20; 25(11):3470-3477. PubMed ID: 26538157
    [Abstract] [Full Text] [Related]

  • 14. 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 20; 33(7):5069-5076. PubMed ID: 37099176
    [Abstract] [Full Text] [Related]

  • 15. 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 20; 33(7):5060-5068. PubMed ID: 37162531
    [Abstract] [Full Text] [Related]

  • 16. Differential diagnostic value of radiomics models in benign versus malignant vertebral compression fractures: A systematic review and meta-analysis.
    Zheng J, Liu W, Chen J, Sun Y, Chen C, Li J, Yi C, Zeng G, Chen Y, Song W.
    Eur J Radiol; 2024 Sep 20; 178():111621. PubMed ID: 39018646
    [Abstract] [Full Text] [Related]

  • 17. 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 01; 73():147-56. PubMed ID: 27111110
    [Abstract] [Full Text] [Related]

  • 18. 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 01; 108():59-65. PubMed ID: 30396672
    [Abstract] [Full Text] [Related]

  • 19. Benign versus malignant compression fracture: a diagnostic accuracy of magnetic resonance imaging.
    Pongpornsup S, Wajanawichakorn P, Danchaivijitr N.
    J Med Assoc Thai; 2009 Jan 01; 92(1):64-72. PubMed ID: 19260246
    [Abstract] [Full Text] [Related]

  • 20. Predicting vertebral compression fracture prior to spinal SBRT using radiomics from planning CT.
    Seol Y, Song JH, Choi KH, Lee YK, Choi BO, Kang YN.
    Eur Spine J; 2024 Aug 01; 33(8):3221-3229. PubMed ID: 37814013
    [Abstract] [Full Text] [Related]

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