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Multiparametric magnetic resonance imaging
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To establish and validate a predictive model combining pretreatment multiparametric MRI-based radiomic signatures and clinical characteristics for the risk evaluation of early rapid metastasis in nasopharyngeal carcinoma (NPC) patients.
12p
vishanshan
27-06-2024
2
1
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This study aimed to develop and validate a machine learning (ML)-based fusion model to preoperatively predict Ki-67 expression levels in patients with head and neck squamous cell carcinoma (HNSCC) using multiparametric magnetic resonance imaging (MRI).
14p
vikoch
27-06-2024
3
1
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Multiparametric magnetic resonance imaging (mMRI) is the modality of choice in the imaging of ovarian cancer (OC). We aimed to investigate the feasibility of diferent types of regions of interest (ROIs) in the measurement of apparent difusion coefcient (ADC) values of difusion-weighted imaging in OC patients treated with neoadjuvant chemotherapy (NACT).
18p
vischultz
20-10-2023
3
1
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To explore the value of a multiparametric magnetic resonance imaging (MRI)-based deep learning model for the preoperative prediction of Ki67 expression in prostate cancer (PCa). Materials The data of 229 patients with PCa from two centers were retrospectively analyzed and divided into training, internal validation, and external validation sets.
15p
vioracle
29-09-2023
3
2
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We aimed to develop machine learning models for prediction of molecular subgroups (low-risk group and intermediate/high-risk group) and molecular marker (KIAA1549-BRAF fusion) of pediatric low-grade gliomas (PLGGs) based on radiomic features extracted from multiparametric MRI.
11p
vioracle
29-09-2023
7
2
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The purpose of this study was to investigate and validate multiparametric magnetic resonance imaging (MRI)-based machine learning classifiers for early identification of poor responders after neoadjuvant chemoradiotherapy (nCRT) in patients with locally advanced rectal cancer (LARC).
11p
viangelamerkel
27-07-2022
4
1
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Nomograms are currently used in predicting individualized outcomes in clinical oncology of several cancers. However, nomograms for evaluating occult nodal metastasis of patients with squamous cell carcinoma of lateral tongue (SCCLT) have not been widely investigated for their functionality.
11p
vianrose2711
27-04-2021
12
2
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To explore the value of magnetic resonance quantitative analysis using diffusion tensor imaging, T2 mapping, and intravoxel incoherent motion in the evaluation of eccentric exercise-induced muscle damage and to compare the effects of various eccentric exercise modes at different time points in rats.
13p
vianttinic2711
20-04-2021
13
1
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Radical radiotherapy, with or without concomitant chemotherapy forms the mainstay of organ preservation approaches in mucosal primary head and neck cancer. Despite technical advances in cancer imaging and radiotherapy administration, a significant proportion of patients fail to achieve a complete response to treatment.
9p
vidhaka2711
31-07-2020
17
1
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The objective of our study was to evaluate the clinical significance of invisible prostate cancer (iPCa) on multiparametric magnetic resonance imaging (mpMRI) by analyzing clinical parameters and oncologic outcomes.
10p
vimanila2711
25-06-2020
10
1
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The application of multiparametric magnetic resonance imaging (mpMRI) for diagnosis of prostate cancer has been recommended by the European Association of Urology (EAU), National Comprehensive Cancer Network (NCCN), and European Society of Urogenital Radiology (ESUR) guidelines.
15p
vikuala271
13-06-2020
12
1
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part 2 book “advanced mr neuroimaging” has contents: magnetic resonance spectroscopy, artifacts and pitfalls of mrs, functional magnetic resonance imaging (fmri), artifacts and pitfalls of fmri, the role of multiparametric mr imaging - advanced mr techniques in the assessment of cerebral tumors.
132p
tieu_vu13
06-08-2018
35
1
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