Detalhe da pesquisa
1.
LI-RADS: Looking Back, Looking Forward.
Radiology
; 307(1): e222801, 2023 04.
Artigo
em Inglês
| MEDLINE | ID: mdl-36853182
2.
Liver imaging: it is time to adopt standardized terminology.
Eur Radiol
; 32(9): 6291-6301, 2022 Sep.
Artigo
em Inglês
| MEDLINE | ID: mdl-35389052
3.
Immunofluorescence Assay of Ablated Colorectal Liver Metastases: The Frozen Section of Image-Guided Tumor Ablation?
J Vasc Interv Radiol
; 33(3): 308-315.e1, 2022 03.
Artigo
em Inglês
| MEDLINE | ID: mdl-34800623
4.
Machine learning radiomics can predict early liver recurrence after resection of intrahepatic cholangiocarcinoma.
HPB (Oxford)
; 24(8): 1341-1350, 2022 08.
Artigo
em Inglês
| MEDLINE | ID: mdl-35283010
5.
Patterns of Metastatic Disease in Patients with Cancer Derived from Natural Language Processing of Structured CT Radiology Reports over a 10-year Period.
Radiology
; 301(1): 115-122, 2021 10.
Artigo
em Inglês
| MEDLINE | ID: mdl-34342503
6.
Differences in Liver Parenchyma are Measurable with CT Radiomics at Initial Colon Resection in Patients that Develop Hepatic Metastases from Stage II/III Colon Cancer.
Ann Surg Oncol
; 28(4): 1982-1989, 2021 Apr.
Artigo
em Inglês
| MEDLINE | ID: mdl-32954446
7.
MRI of the Pancreas.
J Magn Reson Imaging
; 53(2): 347-359, 2021 02.
Artigo
em Inglês
| MEDLINE | ID: mdl-32302044
8.
Imaging Features at the Periphery: Hemodynamics, Pathophysiology, and Effect on LI-RADS Categorization.
Radiographics
; 41(6): 1657-1675, 2021 Oct.
Artigo
em Inglês
| MEDLINE | ID: mdl-34559586
9.
Evaluation of treatment response in hepatocellular carcinoma in the explanted liver with Liver Imaging Reporting and Data System version 2017.
Eur Radiol
; 30(1): 261-271, 2020 Jan.
Artigo
em Inglês
| MEDLINE | ID: mdl-31418085
10.
Radiomic feature reproducibility in contrast-enhanced CT of the pancreas is affected by variabilities in scan parameters and manual segmentation.
Eur Radiol
; 30(1): 195-205, 2020 Jan.
Artigo
em Inglês
| MEDLINE | ID: mdl-31392481
11.
Quantitative imaging features of pretreatment CT predict volumetric response to chemotherapy in patients with colorectal liver metastases.
Eur Radiol
; 29(1): 458-467, 2019 Jan.
Artigo
em Inglês
| MEDLINE | ID: mdl-29922934
12.
Pilot study of rapid MR pancreas screening for patients with BRCA mutation.
Eur Radiol
; 29(8): 3976-3985, 2019 Aug.
Artigo
em Inglês
| MEDLINE | ID: mdl-30689033
13.
Comparison of Navigator Triggering Reduced Field of View and Large Field of View Diffusion-Weighted Imaging of the Pancreas.
J Comput Assist Tomogr
; 43(1): 143-148, 2019.
Artigo
em Inglês
| MEDLINE | ID: mdl-30119065
14.
Evidence Supporting LI-RADS Major Features for CT- and MR Imaging-based Diagnosis of Hepatocellular Carcinoma: A Systematic Review.
Radiology
; 286(1): 29-48, 2018 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-29166245
15.
Editorial Comment: An Algorithm to Distinguish Between Hepatocellular Adenoma Subtypes on Gadoxetate Disodium-Enhanced MRI.
AJR Am J Roentgenol
; 220(4): 549, 2023 04.
Artigo
em Inglês
| MEDLINE | ID: mdl-36222489
16.
Computed Tomography Image Texture: A Noninvasive Prognostic Marker of Hepatic Recurrence After Hepatectomy for Metastatic Colorectal Cancer.
Ann Surg Oncol
; 24(9): 2482-2490, 2017 Sep.
Artigo
em Inglês
| MEDLINE | ID: mdl-28560599
17.
Unresectable intrahepatic cholangiocarcinoma: Systemic plus hepatic arterial infusion chemotherapy is associated with longer survival in comparison with systemic chemotherapy alone.
Cancer
; 122(5): 758-65, 2016 Mar 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-26695839
18.
Radiomics for CT Assessment of Vascular Contact in Pancreatic Adenocarcinoma.
Radiology
; 301(3): 623-624, 2021 12.
Artigo
em Inglês
| MEDLINE | ID: mdl-34491133
19.
Intravoxel Incoherent Motion-derived Histogram Metrics for Assessment of Response after Combined Chemotherapy and Radiation Therapy in Rectal Cancer: Initial Experience and Comparison between Single-Section and Volumetric Analyses.
Radiology
; 280(2): 446-54, 2016 08.
Artigo
em Inglês
| MEDLINE | ID: mdl-26919562
20.
Colorectal Cancer Liver Metastases: Biopsy of the Ablation Zone and Margins Can Be Used to Predict Oncologic Outcome.
Radiology
; 280(3): 949-59, 2016 09.
Artigo
em Inglês
| MEDLINE | ID: mdl-27010254