Detalhe da pesquisa
1.
Diagnostic Anatomic Imaging for Neuroendocrine Neoplasms: Maximizing Strengths and Mitigating Weaknesses.
J Comput Assist Tomogr
; 2024 Apr 24.
Artigo
em Inglês
| MEDLINE | ID: mdl-38657156
2.
Pancreatic cancer detection with dual-energy CT: diagnostic performance of 40 keV and 70 keV virtual monoenergetic images.
Radiol Med
; 129(5): 677-686, 2024 May.
Artigo
em Inglês
| MEDLINE | ID: mdl-38512626
3.
Determination of arterial invasion in pancreatic ductal adenocarcinoma: what is the best diagnostic criterion on CT?
Eur Radiol
; 33(5): 3617-3626, 2023 May.
Artigo
em Inglês
| MEDLINE | ID: mdl-36897348
4.
Arterial involvement and resectability scoring system to predict R0 resection in patients with pancreatic ductal adenocarcinoma treated with neoadjuvant chemoradiation therapy.
Eur Radiol
; 32(4): 2470-2480, 2022 Apr.
Artigo
em Inglês
| MEDLINE | ID: mdl-34665317
5.
A Method for Reducing Variability Across Dual-Energy CT Manufacturers in Quantification of Low Iodine Content Levels.
AJR Am J Roentgenol
; 218(4): 746-755, 2022 04.
Artigo
em Inglês
| MEDLINE | ID: mdl-34668387
6.
Prediction of overall survival in patients with pancreatic ductal adenocarcinoma: histogram analysis of ADC value and correlation with pathological intratumoral necrosis.
BMC Med Imaging
; 22(1): 23, 2022 02 08.
Artigo
em Inglês
| MEDLINE | ID: mdl-35135492
7.
Optimized Bolus Threshold for Dual-Energy CT Angiography with Monoenergetic Images: A Randomized Clinical Trial.
Radiology
; 300(3): 615-623, 2021 09.
Artigo
em Inglês
| MEDLINE | ID: mdl-34128721
8.
Sinogram-based deep learning image reconstruction technique in abdominal CT: image quality considerations.
Eur Radiol
; 31(11): 8342-8353, 2021 Nov.
Artigo
em Inglês
| MEDLINE | ID: mdl-33893535
9.
Clinical Implementation of Dual-Energy CT for Gastrointestinal Imaging.
AJR Am J Roentgenol
; 217(3): 651-663, 2021 09.
Artigo
em Inglês
| MEDLINE | ID: mdl-33377415
10.
Dual-Energy CT Images: Pearls and Pitfalls.
Radiographics
; 41(1): 98-119, 2021.
Artigo
em Inglês
| MEDLINE | ID: mdl-33411614
11.
Recognizing and Minimizing Artifacts at Dual-Energy CT.
Radiographics
; 41(2): 509-523, 2021.
Artigo
em Inglês
| MEDLINE | ID: mdl-33606565
12.
Image Quality and Lesion Detection on Deep Learning Reconstruction and Iterative Reconstruction of Submillisievert Chest and Abdominal CT.
AJR Am J Roentgenol
; 214(3): 566-573, 2020 03.
Artigo
em Inglês
| MEDLINE | ID: mdl-31967501
13.
Update on Multienergy CT: Physics, Principles, and Applications.
Radiographics
; 40(5): 1284-1308, 2020.
Artigo
em Inglês
| MEDLINE | ID: mdl-32822281
14.
Virtual Monochromatic Dual-Energy Aortoiliac CT Angiography With Reduced Iodine Dose: A Prospective Randomized Study.
AJR Am J Roentgenol
; 212(2): 467-474, 2019 02.
Artigo
em Inglês
| MEDLINE | ID: mdl-30476460
15.
Dual-Source Dual-Energy CT in Detection and Characterization of Urinary Stones in Patients With Large Body Habitus: Observations in a Large Cohort.
AJR Am J Roentgenol
; 212(4): 796-801, 2019 04.
Artigo
em Inglês
| MEDLINE | ID: mdl-30673342
16.
Experience With Iterative Reconstruction Techniques for Abdominopelvic Computed Tomography in Morbidly and Super Obese Patients.
J Comput Assist Tomogr
; 42(1): 124-132, 2018.
Artigo
em Inglês
| MEDLINE | ID: mdl-28786906
17.
Dual-Source Dual-Energy CT Portal Venous Phase Abdominal CT Scans in Large Body Habitus Patients: Preliminary Observations on Image Quality and Material Decomposition.
J Comput Assist Tomogr
; 42(6): 932-936, 2018.
Artigo
em Inglês
| MEDLINE | ID: mdl-30407239
18.
Imaging for Oncologic Response Assessment in Lymphoma.
AJR Am J Roentgenol
; 208(1): 18-31, 2017 Jan.
Artigo
em Inglês
| MEDLINE | ID: mdl-27786547
19.
Recognizing and Minimizing Artifacts at Dual-Energy CT.
Radiographics
; 41(3): E96, 2021.
Artigo
em Inglês
| MEDLINE | ID: mdl-33939552
20.
A quantitative comparison of noise reduction across five commercial (hybrid and model-based) iterative reconstruction techniques: an anthropomorphic phantom study.
AJR Am J Roentgenol
; 204(2): W176-83, 2015 Feb.
Artigo
em Inglês
| MEDLINE | ID: mdl-25615778