Results 31 to 40 of about 455,909 (199)

Visual Evaluation of Ultrafast MRI in the Assessment of Residual Breast Cancer After Neoadjuvant Systemic Therapy: A Preliminary Study Association with Subtype

Tomography, 2022
The purpose of this study was to investigate the diagnostic performance of ultrafast DCE (UF-DCE) MRI after the completion of neoadjuvant systemic therapy (NST) in breast cancer.
Maya Honda, Masako Kataoka, Mami Iima, Rie Ota, Akane Ohashi, Ayami Ohno Kishimoto, Kanae Kawai Miyake, Marcel Dominik Nickel, Yosuke Yamada, Masakazu Toi, Yuji Nakamoto   +10 more
doaj   +1 more source

Radiomic Analysis of Multi-parametric MR Images (MRI) for Classification of Parotid Tumors [PDF]

Journal of Biomedical Physics and Engineering, 2022
Background: Characterization of parotid tumors before surgery using multi-parametric magnetic resonance imaging (MRI) scans can support clinical decision making about the best-suited therapeutic strategy for each patient.
Anahita Fathi Kazerooni, Mahnaz Nabil, Mohammadreza Alviri, Soheila Koopaei, Faezeh Salahshour, Sanam Assili, Hamidreza Saligheh Rad, Leila Aghaghazvini   +7 more
doaj   +1 more source

Diagnostic value of dynamic contrast-enhanced MRI for unilocular cystic-type ameloblastomas with homogeneously bright high signal intensity on T2-weighted or STIR MR images [PDF]

, 2011
Typical MR images of ameloblastomas on T2-weighted image (WI) or short inversion time inversion-recovery (STIR) show multiple bright high-signal-intensity loci on a high-signal-intensity background.
Teruhisa Unetsubo, Yanagi, Yoshinobu, Konouchi, Hironobu, Hisatomi, Miki, Asaumi, Jun-ichi, Unetsubo, Teruhisa, Hironobu Konouchi, Toshihiko Takenobu, Hidenobu Matsuzaki, Yoshinobu Yanagi, Matsuzaki, Hidenobu, Takenobu, Toshihiko, Miki Hisatomi, Jun-ichi Asaumi   +13 more
core   +1 more source

DataSheet_1_Pretreatment DCE-MRI-Based Deep Learning Outperforms Radiomics Analysis in Predicting Pathologic Complete Response to Neoadjuvant Chemotherapy in Breast Cancer.docx

, 2022
PurposeTo compare the performances of deep learning (DL) to radiomics analysis (RA) in predicting pathological complete response (pCR) to neoadjuvant chemotherapy (NAC) based on pretreatment dynamic contrast-enhanced MRI (DCE-MRI) in breast cancer ...
Xiang Zhang (19800), Jian Zheng (287758), Xiaodong Yang (158369), Ziliang Cheng (12221555), Yunsong Peng (12221552), Zhuo Wu (700030), Yaping Yang (292220), Chang Gong (234893), Jun Shen (15131), Chushan Zheng (9315806)   +9 more
core   +1 more source

Breast Lesion Characterisation with DiffusionWeighted Imaging Versus Dynamic ContrastEnhanced-MRI: A Prospective Observational Study in a Tertiary Care Hospital

EMJ Radiology, 2021
Purpose: Dynamic contrast-enhanced (DCE)-MRI has a promising role in breast cancer detection and lesion characterisation. Diffusion-weighted imaging (DWI) acts as an adjunct in the differentiation between benign and malignant lesions.
Amandeep Singh, Jasmin Purewal, Kamlesh Gupta, Gauravdeep Singh   +3 more
doaj  

Classification Model of Breast Masses in DCE-MRI Using Kinetic Curves Features with Quantum-Raina’s Polynomial Based Fusion

, 2023
Breast cancer is the most common cancer among women worldwide and is currently the second leading cause of cancer death in women. However, early detection and diagnosis of breast cancer can lead to a complete remission and can extend survival periods ...
Hasan, A.M., Al-Waely, N.K.N., Jalab, H.A., Noor K.N. Al-Waely, Ajobouri, H.K., Ali M. Hasan, Hadeel K. Ajobouri, Ibrahim, R.W., Meziane, F., Rabha W. Ibrahim, Farid Meziane, Hamid A. Jalab   +11 more
core   +1 more source

The staging of nonalcoholic fatty liver disease fibrosis: A comparative study of MR elastography and the quantitative DCE-MRI exchange model

Heliyon
Objectives: To evaluate the efficacy and image processing time of the dynamic contrast-enhanced MRI (DCE-MRI) exchange model in liver fibrosis staging and compare it to the efficacy of magnetic resonance elastography (MRE).
Hao Ren, Dawei Yang, Hui Xu, Xiaofei Tong, Xinyan Zhao, Qianyi Wang, Yameng Sun, Xiaojuan Ou, Jidong Jia, Hong You, Zhenchang Wang, Zhenghan Yang   +11 more
doaj   +1 more source

The role of advanced MRI in the development of treat-to-target therapeutic strategies, patient stratification and phenotyping in rheumatoid arthritis

BMC Rheumatology, 2020
In this commentary, we discuss the potential of advanced imaging, particularly Dynamic Contrast Enhanced (DCE) magnetic resonance imaging (MRI) for the objective assessment of the inflammatory process in rheumatoid arthritis (RA).
Ali Mobasheri, Mark Hinton, Faiq Shaikh, Olga Kubassova   +3 more
doaj   +1 more source

Retrospective quantification of clinical abdominal DCE-MRI using pharmacokinetics-informed deep learning: a proof-of-concept study

Frontiers in Radiology, 2023
IntroductionDynamic contrast-enhanced (DCE) MRI has important clinical value for early detection, accurate staging, and therapeutic monitoring of cancers.
Chaowei Wu, Chaowei Wu, Nan Wang, Nan Wang, Srinivas Gaddam, Lixia Wang, Hui Han, Kyunghyun Sung, Anthony G. Christodoulou, Anthony G. Christodoulou, Yibin Xie, Stephen Pandol, Debiao Li, Debiao Li   +13 more
doaj   +1 more source

Developing a tool for the validation of quantitative DCE-MRI [PDF]

, 2011
Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) is becoming an indispensable tool to noninvasively study tumor characteristics. However, many different DCE-analysis methods are currently being used.
Niessen, W.J. (author), Monique Bernsen, Wiro J. Niessen, De Jong, Marion, Lejla Alic, Haeck, Joost C., Bol, K. (author), Karin Bol, Alic, Lejla, Bernsen, Monique; id_orcid, Bernsen, M. (author), Haeck, J.C. (author), Niessen, Wiro J., Marion de Jong, Joost C. Haeck, Alic, L. (author), Veenland, J.F. (author), Jifke F. Veenland, Veenland, Jifke F., Bol, Karin, De Jong, M. (author)   +20 more
core   +2 more sources