Detalhe da pesquisa
1.
Role of Additional MRI-Based Morphologic Measurements on the Performance of VI-RADS for Muscle-Invasive Bladder Cancer.
J Magn Reson Imaging
; 2024 Jan 23.
Artigo
em Inglês
| MEDLINE | ID: mdl-38258496
2.
Biopsy-free AI-aided precision MRI assessment in prediction of prostate cancer biochemical recurrence.
Br J Cancer
; 129(10): 1625-1633, 2023 11.
Artigo
em Inglês
| MEDLINE | ID: mdl-37758837
3.
Performance of Artificial Intelligence-Aided Diagnosis System for Clinically Significant Prostate Cancer with MRI: A Diagnostic Comparison Study.
J Magn Reson Imaging
; 57(5): 1352-1364, 2023 05.
Artigo
em Inglês
| MEDLINE | ID: mdl-36222324
4.
[Gonadoblastoma: Clinicopathological study and literature review of 3 cases].
Zhonghua Nan Ke Xue
; 29(7): 634-638, 2023 Jul.
Artigo
em Zh
| MEDLINE | ID: mdl-38619412
5.
Artificial intelligence is a promising prospect for the detection of prostate cancer extracapsular extension with mpMRI: a two-center comparative study.
Eur J Nucl Med Mol Imaging
; 48(12): 3805-3816, 2021 11.
Artigo
em Inglês
| MEDLINE | ID: mdl-34018011
6.
Longitudinal Multiparametric MRI Assessment of Irradiated Salivary Gland in a Rat Model: Correlated With Histological Findings.
J Magn Reson Imaging
; 54(6): 1730-1741, 2021 12.
Artigo
em Inglês
| MEDLINE | ID: mdl-34278649
7.
[Clinical characteristics and treatment strategies of prostatic mucinous adenocarcinoma: A report of 10 cases and literature review].
Zhonghua Nan Ke Xue
; 26(12): 1087-1091, 2020 Dec.
Artigo
em Zh
| MEDLINE | ID: mdl-34898082
8.
A machine learning-assisted decision-support model to better identify patients with prostate cancer requiring an extended pelvic lymph node dissection.
BJU Int
; 124(6): 972-983, 2019 12.
Artigo
em Inglês
| MEDLINE | ID: mdl-31392808
9.
Using support vector machine analysis to assess PartinMR: A new prediction model for organ-confined prostate cancer.
J Magn Reson Imaging
; 48(2): 499-506, 2018 08.
Artigo
em Inglês
| MEDLINE | ID: mdl-29437268
10.
Construction of a Preoperative Radiologic-Risk Signature for Predicting the Pathologic Status of Prostate Cancer at Radical Prostatectomy.
AJR Am J Roentgenol
; 211(4): 805-811, 2018 10.
Artigo
em Inglês
| MEDLINE | ID: mdl-29995494
11.
Acute kidney damage induced by low- and iso-osmolar contrast media in rats: Comparison study with physiologic MRI and histologic-gene examination.
J Magn Reson Imaging
; 45(1): 291-302, 2017 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-27367527
12.
MR-based prognostic nomogram for prostate cancer after radical prostatectomy.
J Magn Reson Imaging
; 45(2): 586-596, 2017 02.
Artigo
em Inglês
| MEDLINE | ID: mdl-27654116
13.
Machine learning-based analysis of MR radiomics can help to improve the diagnostic performance of PI-RADS v2 in clinically relevant prostate cancer.
Eur Radiol
; 27(10): 4082-4090, 2017 Oct.
Artigo
em Inglês
| MEDLINE | ID: mdl-28374077
14.
Diffusion Kurtosis Imaging Helps to Predict Upgrading in Biopsy-Proven Prostate Cancer With a Gleason Score of 6.
AJR Am J Roentgenol
; 209(5): 1081-1087, 2017 Nov.
Artigo
em Inglês
| MEDLINE | ID: mdl-28834443
15.
New RESOLVE-Based Diffusional Kurtosis Imaging in MRI-Visible Prostate Cancer: Effect of Reduced b Value on Image Quality and Diagnostic Effectiveness.
AJR Am J Roentgenol
; 207(2): 330-8, 2016 Aug.
Artigo
em Inglês
| MEDLINE | ID: mdl-27187062
16.
Enzalutamide and olaparib synergistically suppress castration-resistant prostate cancer progression by promoting apoptosis through inhibiting nonhomologous end joining pathway.
Asian J Androl
; 25(6): 687-694, 2023 11 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-37282383
17.
A clinical available decision support scheme for optimizing prostate biopsy based on mpMRI.
Prostate Cancer Prostatic Dis
; 25(4): 727-734, 2022 04.
Artigo
em Inglês
| MEDLINE | ID: mdl-35067674
18.
Integration of clinicopathologic identification and deep transferrable image feature representation improves predictions of lymph node metastasis in prostate cancer.
EBioMedicine
; 68: 103395, 2021 Jun.
Artigo
em Inglês
| MEDLINE | ID: mdl-34049247
19.
A radiomics machine learning-based redefining score robustly identifies clinically significant prostate cancer in equivocal PI-RADS score 3 lesions.
Abdom Radiol (NY)
; 45(12): 4223-4234, 2020 12.
Artigo
em Inglês
| MEDLINE | ID: mdl-32740863
20.
An imaging-based approach predicts clinical outcomes in prostate cancer through a novel support vector machine classification.
Oncotarget
; 7(47): 78140-78151, 2016 Nov 22.
Artigo
em Inglês
| MEDLINE | ID: mdl-27542201