Zobrazeno 1 - 10
of 534
pro vyhledávání: '"Dynamic contrast enhancement"'
Publikováno v:
Journal of Men's Health, Vol 20, Iss 9, Pp 95-102 (2024)
This study investigates the efficacy of the Prostate Imaging Reporting and Data System version 2.1 (PI-RADS v2.1) score combined with quantitative metrics from Diffusion Weighted Imaging (DWI) and Dynamic Contrast Enhancement Magnetic Resonance Imagi
Externí odkaz:
https://doaj.org/article/d4cd6d1c672c417ea82efea5a6951d45
Autor:
R. F. Valenzuela, E. Duran-Sierra, M. Canjirathinkal, B. Amini, K. E. Torres, R. S. Benjamin, J. Ma, W. L. Wang, K. P. Hwang, R. J. Stafford, C. Wu, A. M. Zarzour, A. J. Bishop, S. Lo, J. E. Madewell, R. Kumar, W. A. Murphy, C. M. Costelloe
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract Undifferentiated pleomorphic sarcoma (UPS) is the largest subgroup of soft tissue sarcomas. This study determined the value of perfusion-weighted imaging with dynamic-contrast-enhancement (PWI/DCE) morphologic, qualitative, and semiquantitat
Externí odkaz:
https://doaj.org/article/a0f35bddee9a4e199ffc8642639f2740
Autor:
Eric V. Li, Sai K. Kumar, Jonathan A. Aguiar, Mohammad R. Siddiqui, Clayton Neill, Zequn Sun, Edward M. Schaeffer, Anugayathri Jawahar, Ashley E. Ross, Hiten D. Patel
Publikováno v:
BJUI Compass, Vol 5, Iss 9, Pp 865-873 (2024)
Abstract Objective This study aimed to evaluate the association of dynamic contrast enhancement (DCE) with clinically significant prostate cancer (csPCa, Gleason Grade Group ≥2) and compare biparametric magnetic resonance imaging (bpMRI) and multip
Externí odkaz:
https://doaj.org/article/01b7e5c211b741d081f7b21090af0298
Autor:
Marina V. Dreval, Andrey S. Mazur, Giunel Kh. Aslanova, Alexey А. Poyda, Vyacheslav A. Orlov, Sergey I. Kartashov, Marina V. Krotenkova, Marine M. Tanashyan
Publikováno v:
Alʹmanah Kliničeskoj Mediciny, Vol 52, Iss 2, Pp 85-94 (2024)
Background: Breakthrough neurotechnologies have allowed for new understanding of some brain disorders; however, identification and differential diagnosis of intracranial stenotic and occlusive lesions remains challenging. Magnetic resonance imaging (
Externí odkaz:
https://doaj.org/article/cc1938683a554293b98811e4f11bb205
Publikováno v:
Magnetic Resonance Letters, Vol 4, Iss 4, Pp 200134- (2024)
This work aims to develop fast T1 mapping methods for preclinical and clinical scanners based on subspace-constrained reconstructions. Two sequences are explored for rapid T1 characterizations: 1) Interleaved spatiotemporal encoding incorporating var
Externí odkaz:
https://doaj.org/article/4f1d040f8aa24ba8a6ca802047ef82e3
Autor:
Zhi-Gang Wang, Feng-Leng Yang, Chun-Ying Liu, Fang Wang, Ying Xiong, Qiang Zhang, Mei-ning Chen, Hua Lai
Publikováno v:
BMC Pregnancy and Childbirth, Vol 24, Iss 1, Pp 1-8 (2024)
Abstract Objective To explore the feasibility of the golden-angle radial sparse parallel (GRASP) dynamic magnetic resonance imaging (MRI) technique in predicting the intraoperative bleeding risk of scar pregnancy. Methods A total of 49 patients with
Externí odkaz:
https://doaj.org/article/0e8ed273f9914b8eb3b94964b0a00ffc
Publikováno v:
Scripta Medica, Vol 55, Iss 1, Pp 13-22 (2024)
Background/Aim: Endometrial abnormalities represent a diagnostic challenge due to overlapping imaging features with normal endometrium. Aim of this study was to assess accuracy of dynamic contrast-enhanced and diffusion-weighted magnetic resonance im
Externí odkaz:
https://doaj.org/article/3859cc6be48448b7a522cd84e509dc05
Autor:
Yara Kadria-Vili, Jon A. Schwartz, Thomas J. Polascik, Glenn P. Goodrich, David Jorden, Diane Pinder, Naomi J. Halas, Ardeshir R. Rastinehad
Publikováno v:
Nanomaterials, Vol 14, Iss 15, p 1261 (2024)
AuroLase® Therapy—a nanoparticle-enabled focal therapy—has the potential to safely and effectively treat localized prostate cancer (PCa), preserving baseline functionality. This article presents a detailed case of localized PCa treated with Auro
Externí odkaz:
https://doaj.org/article/9ec6103815004d2789dcc3095b6c389a
Publikováno v:
Breast Cancer Research, Vol 25, Iss 1, Pp 1-12 (2023)
Abstract Deep learning analysis of radiological images has the potential to improve diagnostic accuracy of breast cancer, ultimately leading to better patient outcomes. This paper systematically reviewed the current literature on deep learning detect
Externí odkaz:
https://doaj.org/article/35ba4cde02e941d09b3947b7de66b323
Publikováno v:
Frontiers in Oncology, Vol 14 (2024)
PurposeThe objective of this study was to conduct a meta-analysis comparing the diagnostic efficacy of models based on diffusion-weighted imaging (DWI)-MRI, dynamic contrast enhancement (DCE)-MRI, and combination models (DCE and DWI) in distinguishin
Externí odkaz:
https://doaj.org/article/de96210ff6b54ad8a31b19384bfbfb57