Artículos de revistas sobre el tema "Radiomics analysis"
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Hu, Shuyi, Xiajie Lyu, Weifeng Li, Xiaohan Cui, Qiaoyu Liu, Xiaoliang Xu, Jincheng Wang, Lin Chen, Xudong Zhang y Yin Yin. "Radiomics Analysis on Noncontrast CT for Distinguishing Hepatic Hemangioma (HH) and Hepatocellular Carcinoma (HCC)". Contrast Media & Molecular Imaging 2022 (25 de junio de 2022): 1–8. http://dx.doi.org/10.1155/2022/7693631.
Texto completoYin, Yunchao, Derya Yakar, Rudi A. J. O. Dierckx, Kim B. Mouridsen, Thomas C. Kwee y Robbert J. de Haas. "Combining Hepatic and Splenic CT Radiomic Features Improves Radiomic Analysis Performance for Liver Fibrosis Staging". Diagnostics 12, n.º 2 (21 de febrero de 2022): 550. http://dx.doi.org/10.3390/diagnostics12020550.
Texto completoGelardi, Fabrizia, Lara Cavinato, Rita De Sanctis, Gaia Ninatti, Paola Tiberio, Marcello Rodari, Alberto Zambelli et al. "The Predictive Role of Radiomics in Breast Cancer Patients Imaged by [18F]FDG PET: Preliminary Results from a Prospective Cohort". Diagnostics 14, n.º 20 (17 de octubre de 2024): 2312. http://dx.doi.org/10.3390/diagnostics14202312.
Texto completoCinarer, Gokalp y Bulent Gursel Emiroglu. "Statistical analysis of radiomic features in differentiation of glioma grades". New Trends and Issues Proceedings on Advances in Pure and Applied Sciences, n.º 12 (30 de abril de 2020): 68–79. http://dx.doi.org/10.18844/gjpaas.v0i12.4988.
Texto completoChilaca-Rosas, Maria-Fatima, Melissa Garcia-Lezama, Sergio Moreno-Jimenez y Ernesto Roldan-Valadez. "Diagnostic Performance of Selected MRI-Derived Radiomics Able to Discriminate Progression-Free and Overall Survival in Patients with Midline Glioma and the H3F3AK27M Mutation". Diagnostics 13, n.º 5 (23 de febrero de 2023): 849. http://dx.doi.org/10.3390/diagnostics13050849.
Texto completoHu, Yumin, Qiaoyou Weng, Haihong Xia, Tao Chen, Chunli Kong, Weiyue Chen, Peipei Pang, Min Xu, Chenying Lu y Jiansong Ji. "A radiomic nomogram based on arterial phase of CT for differential diagnosis of ovarian cancer". Abdominal Radiology 46, n.º 6 (junio de 2021): 2384–92. http://dx.doi.org/10.1007/s00261-021-03120-w.
Texto completoLei, Chu-qian, Wei Wei, Zhen-yu Liu, Qian-Qian Xiong, Ci-Qiu Yang, Teng Zhu, Liu-Lu Zhang, Mei Yang, Jie Tian y Kun Wang. "Radiomics analysis for pathological classification prediction in BI-RADS category 4 mammographic calcifications." Journal of Clinical Oncology 37, n.º 15_suppl (20 de mayo de 2019): e13055-e13055. http://dx.doi.org/10.1200/jco.2019.37.15_suppl.e13055.
Texto completoWei, Zhi-Yao, Zhe Zhang, Dong-Li Zhao, Wen-Ming Zhao y Yuan-Guang Meng. "Magnetic resonance imaging-based radiomics model for preoperative assessment of risk stratification in endometrial cancer". World Journal of Clinical Cases 12, n.º 26 (16 de septiembre de 2024): 5908–21. http://dx.doi.org/10.12998/wjcc.v12.i26.5908.
Texto completoKalasauskas, Darius, Michael Kosterhon, Naureen Keric, Oliver Korczynski, Andrea Kronfeld, Florian Ringel, Ahmed Othman y Marc A. Brockmann. "Beyond Glioma: The Utility of Radiomic Analysis for Non-Glial Intracranial Tumors". Cancers 14, n.º 3 (7 de febrero de 2022): 836. http://dx.doi.org/10.3390/cancers14030836.
Texto completoHuang, Yen-Cho, Shih-Ming Huang, Jih-Hsiang Yeh, Tung-Chieh Chang, Din-Li Tsan, Chien-Yu Lin y Shu-Ju Tu. "Utility of CT Radiomics and Delta Radiomics for Survival Evaluation in Locally Advanced Nasopharyngeal Carcinoma with Concurrent Chemoradiotherapy". Diagnostics 14, n.º 9 (30 de abril de 2024): 941. http://dx.doi.org/10.3390/diagnostics14090941.
Texto completoHarrison, Rebecca, Bryce Wei Quan Tan, Hong Qi Tan, Lloyd Tan, Mei Chin Lim, Clement Yong, John Kuo y Shelli Kesler. "NIMG-32. THE PREDICTIVE CAPACITY OF PRE-OPERATIVE IMAGING ANALYSIS IN DIFFUSE GLIOMA: A COMPARISON OF CONNECTOMICS, RADIOMICS, AND CLINICAL PREDICTIVE MODELS". Neuro-Oncology 22, Supplement_2 (noviembre de 2020): ii154—ii155. http://dx.doi.org/10.1093/neuonc/noaa215.645.
Texto completoChiu, Hwa-Yen, Ting-Wei Wang, Ming-Sheng Hsu, Heng-Shen Chao, Chien-Yi Liao, Chia-Feng Lu, Yu-Te Wu y Yuh-Ming Chen. "Progress in Serial Imaging for Prognostic Stratification of Lung Cancer Patients Receiving Immunotherapy: A Systematic Review and Meta-Analysis". Cancers 16, n.º 3 (31 de enero de 2024): 615. http://dx.doi.org/10.3390/cancers16030615.
Texto completoGangil, Tarun, Krishna Sharan, B. Dinesh Rao, Krishnamoorthy Palanisamy, Biswaroop Chakrabarti y Rajagopal Kadavigere. "Utility of adding Radiomics to clinical features in predicting the outcomes of radiotherapy for head and neck cancer using machine learning". PLOS ONE 17, n.º 12 (15 de diciembre de 2022): e0277168. http://dx.doi.org/10.1371/journal.pone.0277168.
Texto completoSun, Zongqiong, Linfang Jin, Shuai Zhang, Shaofeng Duan, Wei Xing y Shudong Hu. "Preoperative prediction for lauren type of gastric cancer: A radiomics nomogram analysis based on CT images and clinical features". Journal of X-Ray Science and Technology 29, n.º 4 (27 de julio de 2021): 675–86. http://dx.doi.org/10.3233/xst-210888.
Texto completoMiccò, Maura, Benedetta Gui, Luca Russo, Luca Boldrini, Jacopo Lenkowicz, Stefania Cicogna, Francesco Cosentino et al. "Preoperative Tumor Texture Analysis on MRI for High-Risk Disease Prediction in Endometrial Cancer: A Hypothesis-Generating Study". Journal of Personalized Medicine 12, n.º 11 (7 de noviembre de 2022): 1854. http://dx.doi.org/10.3390/jpm12111854.
Texto completoWang, Yong, Liang Zhang, Lin Qi, Xiaoping Yi, Minghao Li, Mao Zhou, Danlei Chen et al. "Machine Learning: Applications and Advanced Progresses of Radiomics in Endocrine Neoplasms". Journal of Oncology 2021 (11 de octubre de 2021): 1–17. http://dx.doi.org/10.1155/2021/8615450.
Texto completoLee, Hyunjong, Seung Hwan Moon, Jung Yong Hong, Jeeyun Lee y Seung Hyup Hyun. "A Machine Learning Approach Using FDG PET-Based Radiomics for Prediction of Tumor Mutational Burden and Prognosis in Stage IV Colorectal Cancer". Cancers 15, n.º 15 (28 de julio de 2023): 3841. http://dx.doi.org/10.3390/cancers15153841.
Texto completoGill, Andrew B., Leonardo Rundo, Jonathan C. M. Wan, Doreen Lau, Jeries P. Zawaideh, Ramona Woitek, Fulvio Zaccagna et al. "Correlating Radiomic Features of Heterogeneity on CT with Circulating Tumor DNA in Metastatic Melanoma". Cancers 12, n.º 12 (24 de noviembre de 2020): 3493. http://dx.doi.org/10.3390/cancers12123493.
Texto completoChilaca-Rosas, Maria-Fatima, Manuel-Tadeo Contreras-Aguilar, Melissa Garcia-Lezama, David-Rafael Salazar-Calderon, Raul-Gabriel Vargas-Del-Angel, Sergio Moreno-Jimenez, Patricia Piña-Sanchez, Raul-Rogelio Trejo-Rosales, Felipe-Alfredo Delgado-Martinez y Ernesto Roldan-Valadez. "Identification of Radiomic Signatures in Brain MRI Sequences T1 and T2 That Differentiate Tumor Regions of Midline Gliomas with H3.3K27M Mutation". Diagnostics 13, n.º 16 (14 de agosto de 2023): 2669. http://dx.doi.org/10.3390/diagnostics13162669.
Texto completoStoyanova, Radka, Olmo Zavala-Romero, Deukwoo Kwon, Adrian L. Breto, Isaac R. Xu, Ahmad Algohary, Mohammad Alhusseini et al. "Clinical-Genomic Risk Group Classification of Suspicious Lesions on Prostate Multiparametric-MRI". Cancers 15, n.º 21 (31 de octubre de 2023): 5240. http://dx.doi.org/10.3390/cancers15215240.
Texto completoLucia, François, Vincent Bourbonne, Dimitris Visvikis, Omar Miranda, Dorothy M. Gujral, Dominique Gouders, Gurvan Dissaux et al. "Radiomics Analysis of 3D Dose Distributions to Predict Toxicity of Radiotherapy for Cervical Cancer". Journal of Personalized Medicine 11, n.º 5 (11 de mayo de 2021): 398. http://dx.doi.org/10.3390/jpm11050398.
Texto completoWei, JingWei, Jie Tian, Sirui Fu y Ligong Lu. "Noninvasive prediction of future macrovascular invasion occurrence in hepatocellular carcinoma based on quantitative imaging analysis: A multi-center study." Journal of Clinical Oncology 37, n.º 15_suppl (20 de mayo de 2019): e14623-e14623. http://dx.doi.org/10.1200/jco.2019.37.15_suppl.e14623.
Texto completoCosta, Guido, Lara Cavinato, Chiara Masci, Francesco Fiz, Martina Sollini, Letterio Salvatore Politi, Arturo Chiti et al. "Virtual Biopsy for Diagnosis of Chemotherapy-Associated Liver Injuries and Steatohepatitis: A Combined Radiomic and Clinical Model in Patients with Colorectal Liver Metastases". Cancers 13, n.º 12 (20 de junio de 2021): 3077. http://dx.doi.org/10.3390/cancers13123077.
Texto completoBaine, Michael, Justin Burr, Qian Du, Chi Zhang, Xiaoying Liang, Luke Krajewski, Laura Zima, Gerard Rux, Chi Zhang y Dandan Zheng. "The Potential Use of Radiomics with Pre-Radiation Therapy MR Imaging in Predicting Risk of Pseudoprogression in Glioblastoma Patients". Journal of Imaging 7, n.º 2 (28 de enero de 2021): 17. http://dx.doi.org/10.3390/jimaging7020017.
Texto completoBioletto, Fabio, Nunzia Prencipe, Alessandro Maria Berton, Luigi Simone Aversa, Daniela Cuboni, Emanuele Varaldo, Valentina Gasco, Ezio Ghigo y Silvia Grottoli. "Radiomic Analysis in Pituitary Tumors: Current Knowledge and Future Perspectives". Journal of Clinical Medicine 13, n.º 2 (7 de enero de 2024): 336. http://dx.doi.org/10.3390/jcm13020336.
Texto completoSolopova, A. E., J. V. Nosova y B. B. Bendzhenova. "Magnetic resonance imaging in cervical cancer: current opportunities of radiomics analysis and prospects for its further developmen". Obstetrics, Gynecology and Reproduction 17, n.º 4 (6 de septiembre de 2023): 500–511. http://dx.doi.org/10.17749/2313-7347/ob.gyn.rep.2023.440.
Texto completoZhang, Junjie, Ligang Hao, Min Li, Qian Xu y Gaofeng Shi. "CT Radiomics Combined With Clinicopathological Features to Predict Invasive Mucinous Adenocarcinoma in Patients With Lung Adenocarcinoma". Technology in Cancer Research & Treatment 22 (enero de 2023): 153303382311743. http://dx.doi.org/10.1177/15330338231174306.
Texto completoAbdurixiti, Meilinuer, Mayila Nijiati, Rongfang Shen, Qiu Ya, Naibijiang Abuduxiku y Mayidili Nijiati. "Current progress and quality of radiomic studies for predicting EGFR mutation in patients with non-small cell lung cancer using PET/CT images: a systematic review". British Journal of Radiology 94, n.º 1122 (1 de junio de 2021): 20201272. http://dx.doi.org/10.1259/bjr.20201272.
Texto completoSchmidt, Ian A. y Elena D. Kotina. "Applying radiomics in computed tomography data analysis to predict sarcopenia". Vestnik of Saint Petersburg University. Applied Mathematics. Computer Science. Control Processes 20, n.º 3 (2024): 376–90. http://dx.doi.org/10.21638/spbu10.2024.306.
Texto completoYounan, N., H. Douzane, A. Duran-Pena, L. Nichelli, Y. Garcilazo, C. Dehais, F. Ducray et al. "OS9.2 Radiomics analysis of lower-grade gliomas, a POLA Network study". Neuro-Oncology 21, Supplement_3 (agosto de 2019): iii18. http://dx.doi.org/10.1093/neuonc/noz126.060.
Texto completoCamastra, Chiara, Giovanni Pasini, Alessandro Stefano, Giorgio Russo, Basilio Vescio, Fabiano Bini, Franco Marinozzi y Antonio Augimeri. "Development and Implementation of an Innovative Framework for Automated Radiomics Analysis in Neuroimaging". Journal of Imaging 10, n.º 4 (22 de abril de 2024): 96. http://dx.doi.org/10.3390/jimaging10040096.
Texto completoBadesha, Arshpreet Singh, Russell Frood, Marc A. Bailey, Patrick M. Coughlin y Andrew F. Scarsbrook. "A Scoping Review of Machine-Learning Derived Radiomic Analysis of CT and PET Imaging to Investigate Atherosclerotic Cardiovascular Disease". Tomography 10, n.º 9 (3 de septiembre de 2024): 1455–87. http://dx.doi.org/10.3390/tomography10090108.
Texto completoJiang, Yan-Wei, Xiong-Jie Xu, Rui Wang y Chun-Mei Chen. "Radiomics analysis based on lumbar spine CT to detect osteoporosis". European Radiology, 30 de abril de 2022. http://dx.doi.org/10.1007/s00330-022-08805-4.
Texto completoWu, Hongyu, Ban Luo, Yali Zhao, Gang Yuan, Qiuxia Wang, Ping Liu, Linhan Zhai, Wenzhi Lv y Jing Zhang. "Radiomics analysis of the optic nerve for detecting dysthyroid optic neuropathy, based on water-fat imaging". Insights into Imaging 13, n.º 1 (24 de septiembre de 2022). http://dx.doi.org/10.1186/s13244-022-01292-7.
Texto completoSantinha, João, Daniel Pinto dos Santos, Fabian Laqua, Jacob J. Visser, Kevin B. W. Groot Lipman, Matthias Dietzel, Michail E. Klontzas, Renato Cuocolo, Salvatore Gitto y Tugba Akinci D’Antonoli. "ESR Essentials: radiomics—practice recommendations by the European Society of Medical Imaging Informatics". European Radiology, 25 de octubre de 2024. http://dx.doi.org/10.1007/s00330-024-11093-9.
Texto completoCai, Du, Xin Duan, Wei Wang, Ze-Ping Huang, Qiqi Zhu, Min-Er Zhong, Min-Yi Lv et al. "A Metabolism-Related Radiomics Signature for Predicting the Prognosis of Colorectal Cancer". Frontiers in Molecular Biosciences 7 (7 de enero de 2021). http://dx.doi.org/10.3389/fmolb.2020.613918.
Texto completoMou, Meiyan, Ruizhi Gao, Yuquan Wu, Peng Lin, Hongxia Yin, Fenghuan Chen, Fen Huang, Rong Wen, Hong Yang y Yun He. "Endoscopic Rectal Ultrasound‐Based Radiomics Analysis for the Prediction of Synchronous Liver Metastasis in Patients With Primary Rectal Cancer". Journal of Ultrasound in Medicine, 11 de noviembre de 2023. http://dx.doi.org/10.1002/jum.16369.
Texto completoShaheen, Asma, Syed Talha Bukhari, Maria Nadeem, Stefano Burigat, Ulas Bagci y Hassan Mohy-ud-Din. "Overall Survival Prediction of Glioma Patients With Multiregional Radiomics". Frontiers in Neuroscience 16 (7 de julio de 2022). http://dx.doi.org/10.3389/fnins.2022.911065.
Texto completoLi, Yue, Huaibi Huo, Hui Liu, Yue Zheng, Zhaoxin Tian, Xue Jiang, Shiqi Jin et al. "Coronary CTA-based radiomic signature of pericoronary adipose tissue predict rapid plaque progression". Insights into Imaging 15, n.º 1 (20 de junio de 2024). http://dx.doi.org/10.1186/s13244-024-01731-7.
Texto completoLi, Mei hua, Long Liu, Lian Feng, Li jun Zheng, Qin mei Xu, Yin juan Zhang, Fu rong Zhang y Lin na Feng. "Prediction of cervical lymph node metastasis in solitary papillary thyroid carcinoma based on ultrasound radiomics analysis". Frontiers in Oncology 14 (25 de enero de 2024). http://dx.doi.org/10.3389/fonc.2024.1291767.
Texto completoYang, Qinzhu, Haofan Huang, Guizhi Zhang, Nuoqing Weng, Zhenkai Ou, Meili Sun, Huixing Luo, Xuhui Zhou, Yi Gao y Xiaobin Wu. "Contrast‐enhanced CT‐based radiomic analysis for determining the response to anti‐programmed death‐1 therapy in esophageal squamous cell carcinoma patients: A pilot study". Thoracic Cancer, 24 de septiembre de 2023. http://dx.doi.org/10.1111/1759-7714.15117.
Texto completoMeng, Huan, Tian-Da Wang, Li-Yong Zhuo, Jia-Wei Hao, Lian-yu Sui, Wei Yang, Li-Li Zang, Jing-Jing Cui, Jia-Ning Wang y Xiao-Ping Yin. "Quantitative radiomics analysis of imaging features in adults and children Mycoplasma pneumonia". Frontiers in Medicine 11 (20 de mayo de 2024). http://dx.doi.org/10.3389/fmed.2024.1409477.
Texto completoWu, Ting, Chen Gao, Xinjing Lou, Jun Wu, Maosheng Xu y Linyu Wu. "Predictive value of radiomic features extracted from primary lung adenocarcinoma in forecasting thoracic lymph node metastasis: a systematic review and meta-analysis". BMC Pulmonary Medicine 24, n.º 1 (18 de mayo de 2024). http://dx.doi.org/10.1186/s12890-024-03020-x.
Texto completoJiang, Yan-Wei, Xiong-Jei Xu, Rui Wang y Chun-Mei Chen. "Efficacy of non-enhanced computer tomography-based radiomics for predicting hematoma expansion: A meta-analysis". Frontiers in Oncology 12 (10 de enero de 2023). http://dx.doi.org/10.3389/fonc.2022.973104.
Texto completoWang, Jincheng, Shengnan Tang, Jin Wu, Shanshan Xu, Qikai Sun, Zheyu Zhou, Xiaoliang Xu et al. "Radiomic features at Contrast-enhanced CT Predict Virus-driven Liver Fibrosis: A Multi-institutional Study". Clinical and Translational Gastroenterology, 27 de mayo de 2024. http://dx.doi.org/10.14309/ctg.0000000000000712.
Texto completoPeng, Jiao, Zhen Tang, Tao Li, Xiaoyu Pan, Lijuan Feng y Liling Long. "Contrast-enhanced computed tomography-based radiomics nomogram for predicting HER2 status in urothelial bladder carcinoma". Frontiers in Oncology 14 (14 de agosto de 2024). http://dx.doi.org/10.3389/fonc.2024.1427122.
Texto completoYang, Bin, Li Zhou, Jing Zhong, Tangfeng Lv , Ang Li, Lu Ma, Jian Zhong et al. "Combination of computed tomography imaging-based radiomics and clinicopathological characteristics for predicting the clinical benefits of immune checkpoint inhibitors in lung cancer". Respiratory Research 22, n.º 1 (28 de junio de 2021). http://dx.doi.org/10.1186/s12931-021-01780-2.
Texto completoKawahara, Daisuke, Nobuki Imano, Riku Nishioka, Kouta Ogawa, Tomoki Kimura, Taku Nakashima, Hiroshi Iwamoto, Kazunori Fujitaka, Noboru Hattori y Yasushi Nagata. "Prediction of radiation pneumonitis after definitive radiotherapy for locally advanced non-small cell lung cancer using multi-region radiomics analysis". Scientific Reports 11, n.º 1 (10 de agosto de 2021). http://dx.doi.org/10.1038/s41598-021-95643-x.
Texto completoZhang, Simiao, Juan Hou, Wenwen Xia, Zicheng Zhao, Min Xu, Shouxian Li, Chunhui Xu, Tieliang Zhang y Wenya Liu. "Value of intralesional and perilesional radiomics for predicting the bioactivity of hepatic alveolar echinococcosis". Frontiers in Oncology 14 (27 de junio de 2024). http://dx.doi.org/10.3389/fonc.2024.1389177.
Texto completoTang, Shengnan, Jin Wu, Shanshan Xu, Qi Li y Jian He. "Clinical-radiomic analysis for non-invasive prediction of liver steatosis on non-contrast CT: A pilot study". Frontiers in Genetics 14 (20 de marzo de 2023). http://dx.doi.org/10.3389/fgene.2023.1071085.
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