Comparison of Different Fusion Radiomics for Predicting Benign and Malignant Sacral Tumors: A Pilot Study

Rose PS. The management of sacral tumours. Bone Joint J. 2022;104-b(12):1284–1291.

Wang J, Li D, Yang R, Tang X, Yan T, Guo W. Epidemiological characteristics of 1385 primary sacral tumors in one institution in China. World J Surg Oncol. 2020;18(1):297.

Article  PubMed  PubMed Central  Google Scholar 

Ghert M, Schneider P, Guyatt G, et al. Comparison of Prophylactic Intravenous Antibiotic Regimens After Endoprosthetic Reconstruction for Lower Extremity Bone Tumors: A Randomized Clinical Trial. JAMA Oncol. 2022;8(3):345-353.

Article  PubMed  PubMed Central  Google Scholar 

Ali A, Hoyle A, Haran Á M, et al. Association of Bone Metastatic Burden With Survival Benefit From Prostate Radiotherapy in Patients With Newly Diagnosed Metastatic Prostate Cancer: A Secondary Analysis of a Randomized Clinical Trial. JAMA Oncol. 2021;7(4):555-563.

Article  PubMed  PubMed Central  Google Scholar 

Dirksen U, Brennan B, Le Deley MC, et al. High-Dose Chemotherapy Compared With Standard Chemotherapy and Lung Radiation in Ewing Sarcoma With Pulmonary Metastases: Results of the European Ewing Tumour Working Initiative of National Groups, 99 Trial and EWING 2008. J Clin Oncol. 2019;37(34):3192-3202.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Feghali J, Pennington Z, Hung B, et al. Sacrectomy for sacral tumors: perioperative outcomes in a large-volume comprehensive cancer center. Spine J. 2021;21(11):1908-1919.

Article  PubMed  Google Scholar 

van Kessel CS, Waller J, Steffens D, et al. Improving Surgical Outcomes in Pelvic Exenteration Surgery: Comparison of Prone Sacrectomy With Anterior Cortical Sacrectomy Techniques. Ann Surg. 2023;278(6):945-953.

Article  PubMed  Google Scholar 

Wuisman P, Lieshout O, Sugihara S, van Dijk M. Total sacrectomy and reconstruction: oncologic and functional outcome. Clin Orthop Relat Res. 2000(381):192-203.

Article  Google Scholar 

Gerber S, Ollivier L, Leclère J, et al. Imaging of sacral tumours. Skeletal Radiol. 2008;37(4):277-289.

Article  CAS  PubMed  Google Scholar 

Tomasian A, Hillen TJ, Jennings JW. Bone Biopsies: What Radiologists Need to Know. AJR Am J Roentgenol. 2020;215(3):523-533.

Article  PubMed  Google Scholar 

Azar A, Garner HW, Rhodes NG, Yarlagadda B, Wessell DE. CT Attenuation Values Do Not Reliably Distinguish Benign Sclerotic Lesions From Osteoblastic Metastases in Patients Undergoing Bone Biopsy. AJR Am J Roentgenol. 2021;216(4):1022-1030.

Article  PubMed  Google Scholar 

Vanel D, Kreshak J, Larousserie F, et al. Enchondroma vs. chondrosarcoma: a simple, easy-to-use, new magnetic resonance sign. Eur J Radiol. 2013;82(12):2154–2160.

Wu G, Jochems A, Refaee T, et al. Structural and functional radiomics for lung cancer. Eur J Nucl Med Mol Imaging. 2021;48(12):3961-3974.

Article  PubMed  PubMed Central  Google Scholar 

Bera K, Braman N, Gupta A, Velcheti V, Madabhushi A. Predicting cancer outcomes with radiomics and artificial intelligence in radiology. Nat Rev Clin Oncol. 2022;19(2):132-146.

Article  CAS  PubMed  Google Scholar 

Meng Y, Yang Y, Hu M, Zhang Z, Zhou X. Artificial intelligence-based radiomics in bone tumors: Technical advances and clinical application. Semin Cancer Biol. 2023;95:75-87.

Article  PubMed  Google Scholar 

Yin P, Mao N, Chen H, et al. Machine and Deep Learning Based Radiomics Models for Preoperative Prediction of Benign and Malignant Sacral Tumors. Front Oncol. 2020;10:564725.

Article  PubMed  PubMed Central  Google Scholar 

Yin P, Zhi X, Sun C, et al. Radiomics Models for the Preoperative Prediction of Pelvic and Sacral Tumor Types: A Single-Center Retrospective Study of 795 Cases. Front Oncol. 2021;11:709659.

Article  PubMed  PubMed Central  Google Scholar 

Yin P, Mao N, Zhao C, Wu J, Chen L, Hong N. A Triple-Classification Radiomics Model for the Differentiation of Primary Chordoma, Giant Cell Tumor, and Metastatic Tumor of Sacrum Based on T2-Weighted and Contrast-Enhanced T1-Weighted MRI. J Magn Reson Imaging. 2019;49(3):752-759.

Article  PubMed  Google Scholar 

Yin P, Mao N, Zhao C, et al. Comparison of radiomics machine-learning classifiers and feature selection for differentiation of sacral chordoma and sacral giant cell tumour based on 3D computed tomography features. Eur Radiol. 2019;29(4):1841-1847.

Article  PubMed  Google Scholar 

LeCun Y, Bengio Y, Hinton G. Deep learning. Nature. 2015;521(7553):436-444.

Article  CAS  PubMed  Google Scholar 

Liu GS, Yang A, Kim D, et al. Deep learning classification of inverted papilloma malignant transformation using 3D convolutional neural networks and magnetic resonance imaging. Int Forum Allergy Rhinol. 2022;12(8):1025-1033.

Article  CAS  PubMed  Google Scholar 

Zhang Z, Chen P, Shi X, Yang L. Text-Guided Neural Network Training for Image Recognition in Natural Scenes and Medicine. IEEE Trans Pattern Anal Mach Intell. 2021;43(5):1733-1745.

Article  PubMed  Google Scholar 

Başaran E. A new brain tumor diagnostic model: Selection of textural feature extraction algorithms and convolution neural network features with optimization algorithms. Comput Biol Med. 2022;148:105857.

Article  PubMed  Google Scholar 

Krüger J, Ostwaldt AC, Spies L, et al. Infratentorial lesions in multiple sclerosis patients: intra- and inter-rater variability in comparison to a fully automated segmentation using 3D convolutional neural networks. Eur Radiol. 2022;32(4):2798-2809.

Article  PubMed  Google Scholar 

Chen J, Frey EC, He Y, Segars WP, Li Y, Du Y. TransMorph: Transformer for unsupervised medical image registration. Med Image Anal. 2022;82:102615.

Article  PubMed  PubMed Central  Google Scholar 

Arega TW, Bricq S, Legrand F, Jacquier A, Lalande A, Meriaudeau F. Automatic uncertainty-based quality controlled T1 mapping and ECV analysis from native and post-contrast cardiac T1 mapping images using Bayesian vision transformer. Med Image Anal. 2023;86:102773.

Article  PubMed  Google Scholar 

Ayoub M, Liao Z, Li L, Wong KKL. HViT: Hybrid vision inspired transformer for the assessment of carotid artery plaque by addressing the cross-modality domain adaptation problem in MRI. Comput Med Imaging Graph. 2023;109:102295.

Article  PubMed  Google Scholar 

Jiang X, Zhao H, Saldanha OL, et al. An MRI Deep Learning Model Predicts Outcome in Rectal Cancer. Radiology. 2023;307(5):e222223.

Article  PubMed  Google Scholar 

Choi JH, Ro JY. The 2020 WHO Classification of Tumors of Soft Tissue: Selected Changes and New Entities. Adv Anat Pathol. 2021;28(1):44-58.

Article  PubMed  Google Scholar 

Li X, Morgan PS, Ashburner J, Smith J, Rorden C. The first step for neuroimaging data analysis: DICOM to NIfTI conversion. J Neurosci Methods. 2016;264:47-56.

Article  PubMed  Google Scholar 

Myronenko A, Siddiquee MMR, Yang D, He Y, Xu D. Automated head and neck tumor segmentation from 3D PET/CT. Paper presented at: HECKTOR@MICCAI2022.

Dice LR. MEASURES OF THE AMOUNT OF ECOLOGIC ASSOCIATION BETWEEN SPECIES. Ecology. 1945;26(3):297-302.

Article  Google Scholar 

Selvaraju RR, Cogswell M, Das A, Vedantam R, Parikh D, Batra D. Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization. International Journal of Computer Vision. 2020;128(2):336-359.

Article  Google Scholar 

Zhang Y, Hu J, Hua T, Zhang J, Zhang Z, Yang M. Development of a machine learning-based prediction model for sepsis-associated delirium in the intensive care unit. Sci Rep. 2023;13(1):12697.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Lin Z, Cheng YT, Cheung BMY. Machine learning algorithms identify hypokalaemia risk in people with hypertension in the United States National Health and Nutrition Examination Survey 1999-2018. Ann Med. 2023;55(1):2209336.

Article  PubMed  PubMed Central  Google Scholar 

Saah AJ, Hoover DR. "Sensitivity" and "specificity" reconsidered: the meaning of these terms in analytical and diagnostic settings. Ann Intern Med. 1997;126(1):91-94.

Article  CAS  PubMed  Google Scholar 

Zheng X, Yao Z, Huang Y, et al. Deep learning radiomics can predict axillary lymph node status in early-stage breast cancer. Nat Commun. 2020;11(1):1236.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Georgeanu VA, Mămuleanu M, Ghiea S, Selișteanu D. Malignant Bone Tumors Diagnosis Using Magnetic Resonance Imaging Based on Deep Learning Algorithms. Medicina (Kaunas). 2022;58(5).

Sambri A, Fiore M, Giannini C, et al. Primary Tumors of the Sacrum: Imaging Findings. Curr Med Imaging. 2022;18(2):170-186.

Article  PubMed  Google Scholar 

Longhi A, Errani C, De Paolis M, Mercuri M, Bacci G. Primary bone osteosarcoma in the pediatric age: state of the art. Cancer Treat Rev. 2006;32(6):423-436.

Article  PubMed  Google Scholar 

Peh WC. The role of imaging in the staging of bone tumors. Crit Rev Oncol Hematol. 1999;31(2):147-167.

Article  CAS  PubMed  Google Scholar 

Lodwick GS, Wilson AJ, Farrell C, Virtama P, Dittrich F. Determining growth rates of focal lesions of bone from radiographs. Radiology. 1980;134(3):577-583.

Article  CAS 

留言 (0)

沒有登入
gif