Detalhe da pesquisa
1.
Artificial Intelligence to Predict Lymph Node Metastasis at CT in Pancreatic Ductal Adenocarcinoma.
Radiology
; 306(1): 160-169, 2023 01.
Artigo
Inglês
| MEDLINE | ID: mdl-36066369
2.
Replacing secretin-enhanced MRCP with MRI radiomics model based on a fully automated pancreas segmentation for assessing pancreatic exocrine function in chronic pancreatitis.
Eur Radiol
; 33(5): 3580-3591, 2023 May.
Artigo
Inglês
| MEDLINE | ID: mdl-36884086
3.
Preoperative Radiomics Approach to Evaluating Tumor-Infiltrating CD8+ T Cells in Patients With Pancreatic Ductal Adenocarcinoma Using Noncontrast Magnetic Resonance Imaging.
J Magn Reson Imaging
; 55(3): 803-814, 2022 03.
Artigo
Inglês
| MEDLINE | ID: mdl-34355834
4.
Two nomograms for differentiating mass-forming chronic pancreatitis from pancreatic ductal adenocarcinoma in patients with chronic pancreatitis.
Eur Radiol
; 32(9): 6336-6347, 2022 Sep.
Artigo
Inglês
| MEDLINE | ID: mdl-35394185
5.
Noncontrast Magnetic Resonance Radiomics and Multilayer Perceptron Network Classifier: An approach for Predicting Fibroblast Activation Protein Expression in Patients With Pancreatic Ductal Adenocarcinoma.
J Magn Reson Imaging
; 54(5): 1432-1443, 2021 11.
Artigo
Inglês
| MEDLINE | ID: mdl-33890347
6.
Self-Propelled Enzymatic Nanomotors from Prodrug-Skeletal Zeolitic Imidazolate Frameworks for Boosting Multimodel Cancer Therapy Efficiency.
Adv Sci (Weinh)
; 10(22): e2301919, 2023 08.
Artigo
Inglês
| MEDLINE | ID: mdl-37189219
7.
Non-enhanced magnetic resonance imaging-based radiomics model for the differentiation of pancreatic adenosquamous carcinoma from pancreatic ductal adenocarcinoma.
Front Oncol
; 13: 1108545, 2023.
Artigo
Inglês
| MEDLINE | ID: mdl-36756153
8.
Fully automated magnetic resonance imaging-based radiomics analysis for differentiating pancreatic adenosquamous carcinoma from pancreatic ductal adenocarcinoma.
Abdom Radiol (NY)
; 48(6): 2074-2084, 2023 06.
Artigo
Inglês
| MEDLINE | ID: mdl-36964775
9.
Mineralogy and phase transition mechanisms of atmospheric mineral particles: Migration paths, sources, and volatile organic compounds.
Environ Pollut
; 330: 121789, 2023 Aug 01.
Artigo
Inglês
| MEDLINE | ID: mdl-37164219
10.
Highly Bright Gold Nanowires Arrays for Sensitive Detection of Urea and Urease.
Nanomaterials (Basel)
; 12(22)2022 Nov 16.
Artigo
Inglês
| MEDLINE | ID: mdl-36432310
11.
Magnetic Resonance Radiomics and Machine-learning Models: An Approach for Evaluating Tumor-stroma Ratio in Patients with Pancreatic Ductal Adenocarcinoma.
Acad Radiol
; 29(4): 523-535, 2022 04.
Artigo
Inglês
| MEDLINE | ID: mdl-34563443
12.
CT Radiomics Features in Differentiation of Focal-Type Autoimmune Pancreatitis from Pancreatic Ductal Adenocarcinoma: A Propensity Score Analysis.
Acad Radiol
; 29(3): 358-366, 2022 03.
Artigo
Inglês
| MEDLINE | ID: mdl-34108115
13.
Preoperative Prediction of G1 and G2/3 Grades in Patients With Nonfunctional Pancreatic Neuroendocrine Tumors Using Multimodality Imaging.
Acad Radiol
; 29(4): e49-e60, 2022 04.
Artigo
Inglês
| MEDLINE | ID: mdl-34175209
14.
Differentiation of Solid Pseudopapillary Tumor and Non-Functional Neuroendocrine Tumors of the Pancreas Based on CT Delayed Imaging: A Propensity Score Analysis.
Acad Radiol
; 29(3): 350-357, 2022 03.
Artigo
Inglês
| MEDLINE | ID: mdl-33731286
15.
Prediction of Tumor-Infiltrating CD20+ B-Cells in Patients with Pancreatic Ductal Adenocarcinoma Using a Multilayer Perceptron Network Classifier Based on Non-contrast MRI.
Acad Radiol
; 29(9): e167-e177, 2022 09.
Artigo
Inglês
| MEDLINE | ID: mdl-34922828
16.
Contrast-enhanced computed tomography radiomics and multilayer perceptron network classifier: an approach for predicting CD20+ B cells in patients with pancreatic ductal adenocarcinoma.
Abdom Radiol (NY)
; 47(1): 242-253, 2022 01.
Artigo
Inglês
| MEDLINE | ID: mdl-34708252
17.
CT radiomics signature: a potential biomarker for fibroblast activation protein expression in patients with pancreatic ductal adenocarcinoma.
Abdom Radiol (NY)
; 47(8): 2822-2834, 2022 08.
Artigo
Inglês
| MEDLINE | ID: mdl-35451626
18.
CT Radiomics and Machine-Learning Models for Predicting Tumor-Stroma Ratio in Patients With Pancreatic Ductal Adenocarcinoma.
Front Oncol
; 11: 707288, 2021.
Artigo
Inglês
| MEDLINE | ID: mdl-34820324
19.
Machine learning for MRI radiomics: a study predicting tumor-infiltrating lymphocytes in patients with pancreatic ductal adenocarcinoma.
Abdom Radiol (NY)
; 46(10): 4800-4816, 2021 10.
Artigo
Inglês
| MEDLINE | ID: mdl-34189612
20.
XGBoost Classifier Based on Computed Tomography Radiomics for Prediction of Tumor-Infiltrating CD8+ T-Cells in Patients With Pancreatic Ductal Adenocarcinoma.
Front Oncol
; 11: 671333, 2021.
Artigo
Inglês
| MEDLINE | ID: mdl-34094971