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Cited by in F6Publishing
For: Tang TY, Li X, Zhang Q, Guo CX, Zhang XZ, Lao MY, Shen YN, Xiao WB, Ying SH, Sun K, Yu RS, Gao SL, Que RS, Chen W, Huang DB, Pang PP, Bai XL, Liang TB. Development of a Novel Multiparametric MRI Radiomic Nomogram for Preoperative Evaluation of Early Recurrence in Resectable Pancreatic Cancer. J Magn Reson Imaging 2020;52:231-45. [PMID: 31867839 DOI: 10.1002/jmri.27024] [Cited by in Crossref: 21] [Cited by in F6Publishing: 20] [Article Influence: 10.5] [Reference Citation Analysis]
Number Citing Articles
1 Guan X, Liu S, Liang M, Li G, Dong J, Zhou Q. Diffusion kurtosis imaging to evaluate the effect and mechanism of tetramethylpyrazine on cognitive impairment induced by lipopolysaccharide in rats. Brain Imaging Behav 2021. [PMID: 33570727 DOI: 10.1007/s11682-021-00449-0] [Reference Citation Analysis]
2 Bartoli M, Barat M, Dohan A, Gaujoux S, Coriat R, Hoeffel C, Cassinotto C, Chassagnon G, Soyer P. CT and MRI of pancreatic tumors: an update in the era of radiomics. Jpn J Radiol 2020;38:1111-24. [PMID: 33085029 DOI: 10.1007/s11604-020-01057-6] [Cited by in Crossref: 11] [Cited by in F6Publishing: 9] [Article Influence: 11.0] [Reference Citation Analysis]
3 Huang ZS, Xiao X, Li XD, Mo HZ, He WL, Deng YH, Lu LJ, Wu YK, Liu H. Machine Learning-Based Multiparametric Magnetic Resonance Imaging Radiomic Model for Discrimination of Pathological Subtypes of Craniopharyngioma. J Magn Reson Imaging 2021. [PMID: 34085336 DOI: 10.1002/jmri.27761] [Reference Citation Analysis]
4 Lin L, Liu J, Deng Q, Li N, Pan J, Sun H, Quan S. Radiomics Is Effective for Distinguishing Coronavirus Disease 2019 Pneumonia From Influenza Virus Pneumonia. Front Public Health 2021;9:663965. [PMID: 34211951 DOI: 10.3389/fpubh.2021.663965] [Reference Citation Analysis]
5 Eresen A, Yang J, Shangguan J, Benson AB, Yaghmai V, Zhang Z. Detection of Immunotherapeutic Response in a Transgenic Mouse Model of Pancreatic Ductal Adenocarcinoma Using Multiparametric MRI Radiomics: A Preliminary Investigation. Acad Radiol 2021;28:e147-54. [PMID: 32499156 DOI: 10.1016/j.acra.2020.04.026] [Reference Citation Analysis]
6 Burian E, Syväri J, Dieckmeyer M, Holzapfel C, Drabsch T, Sollmann N, Kirschke JS, Rummeny EJ, Zimmer C, Hauner H, Karampinos DC, Baum T, Junker D. Age- and BMI-related variations of fat distribution in sacral and lumbar bone marrow and their association with local muscle fat content. Sci Rep 2020;10:9686. [PMID: 32546722 DOI: 10.1038/s41598-020-66649-8] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
7 Zhao Y, Wu J, Zhang Q, Hua Z, Qi W, Wang N, Lin T, Sheng L, Cui D, Liu J, Song Q, Li X, Wu T, Guo Y, Cui J, Liu A. Radiomics Analysis Based on Multiparametric MRI for Predicting Early Recurrence in Hepatocellular Carcinoma After Partial Hepatectomy. J Magn Reson Imaging. 2020;. [PMID: 33217114 DOI: 10.1002/jmri.27424] [Cited by in Crossref: 3] [Cited by in F6Publishing: 5] [Article Influence: 3.0] [Reference Citation Analysis]
8 Thuillier P, Liberini V, Rampado O, Gallio E, De Santi B, Ceci F, Metovic J, Papotti M, Volante M, Molinari F, Deandreis D. Diagnostic Value of Conventional PET Parameters and Radiomic Features Extracted from 18F-FDG-PET/CT for Histologic Subtype Classification and Characterization of Lung Neuroendocrine Neoplasms. Biomedicines 2021;9:281. [PMID: 33801987 DOI: 10.3390/biomedicines9030281] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
9 Li C, Yin J. Radiomics Nomogram Based on Radiomics Score from Multiregional Diffusion-Weighted MRI and Clinical Factors for Evaluating HER-2 2+ Status of Breast Cancer. Diagnostics (Basel) 2021;11:1491. [PMID: 34441425 DOI: 10.3390/diagnostics11081491] [Reference Citation Analysis]
10 Shi H, Wei Y, Cheng S, Lu Z, Zhang K, Jiang K, Xu Q. Survival prediction after upfront surgery in patients with pancreatic ductal adenocarcinoma: Radiomic, clinic-pathologic and body composition analysis. Pancreatology 2021;21:731-7. [PMID: 33678581 DOI: 10.1016/j.pan.2021.02.009] [Reference Citation Analysis]
11 Li C, Yin J. Radiomics Based on T2-Weighted Imaging and Apparent Diffusion Coefficient Images for Preoperative Evaluation of Lymph Node Metastasis in Rectal Cancer Patients. Front Oncol 2021;11:671354. [PMID: 34041033 DOI: 10.3389/fonc.2021.671354] [Reference Citation Analysis]
12 Virarkar M, Wong VK, Morani AC, Tamm EP, Bhosale P. Update on quantitative radiomics of pancreatic tumors. Abdom Radiol (NY) 2021. [PMID: 34292365 DOI: 10.1007/s00261-021-03216-3] [Reference Citation Analysis]
13 Shi D, Zhang H, Wang S, Wang G, Ren K. Application of Functional Magnetic Resonance Imaging in the Diagnosis of Parkinson's Disease: A Histogram Analysis. Front Aging Neurosci 2021;13:624731. [PMID: 34045953 DOI: 10.3389/fnagi.2021.624731] [Reference Citation Analysis]
14 Mendoza Ladd A, Diehl DL. Artificial intelligence for early detection of pancreatic adenocarcinoma: The future is promising. World J Gastroenterol 2021; 27(13): 1283-1295 [PMID: 33833482 DOI: 10.3748/wjg.v27.i13.1283] [Reference Citation Analysis]
15 Caruso D, Polici M, Zerunian M, Pucciarelli F, Guido G, Polidori T, Landolfi F, Nicolai M, Lucertini E, Tarallo M, Bracci B, Nacci I, Rucci C, Iannicelli E, Laghi A. Radiomics in Oncology, Part 1: Technical Principles and Gastrointestinal Application in CT and MRI. Cancers (Basel) 2021;13:2522. [PMID: 34063937 DOI: 10.3390/cancers13112522] [Reference Citation Analysis]
16 Zhao J, Zhang W, Zhu YY, Zheng HY, Xu L, Zhang J, Liu SY, Li FY, Song B. Development and Validation of Noninvasive MRI-Based Signature for Preoperative Prediction of Early Recurrence in Perihilar Cholangiocarcinoma. J Magn Reson Imaging 2021. [PMID: 34296802 DOI: 10.1002/jmri.27846] [Reference Citation Analysis]
17 Wei M, Gu B, Song S, Zhang B, Wang W, Xu J, Yu X, Shi S. A Novel Validated Recurrence Stratification System Based on 18F-FDG PET/CT Radiomics to Guide Surveillance After Resection of Pancreatic Cancer. Front Oncol 2021;11:650266. [PMID: 34055620 DOI: 10.3389/fonc.2021.650266] [Reference Citation Analysis]
18 Zhang L, Liu X, Lin H, Wang J, Zhang Q. [Factors affecting survival prognosis of advanced gastric cancer and establishment of a nomogram predictive model]. Nan Fang Yi Ke Da Xue Xue Bao 2021;41:621-7. [PMID: 33963725 DOI: 10.12122/j.issn.1673-4254.2021.04.21] [Reference Citation Analysis]
19 Izumiya M. Editorial for "Noncontrast Radiomics Approach for Predicting Grades of Nonfunctional Pancreatic Neuroendocrine Tumors". J Magn Reson Imaging 2020;52:1137-8. [PMID: 32614118 DOI: 10.1002/jmri.27280] [Reference Citation Analysis]
20 Cusumano D, Boldrini L, Yadav P, Casà C, Lee SL, Romano A, Piras A, Chiloiro G, Placidi L, Catucci F, Votta C, Mattiucci GC, Indovina L, Gambacorta MA, Bassetti M, Valentini V. Delta Radiomics Analysis for Local Control Prediction in Pancreatic Cancer Patients Treated Using Magnetic Resonance Guided Radiotherapy. Diagnostics (Basel) 2021;11:72. [PMID: 33466307 DOI: 10.3390/diagnostics11010072] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]