Radiomic features on MRI enable risk categorization of prostate cancer patients on active surveillance: Preliminary findings
Background Radiomic analysis is defined as computationally extracting features from
radiographic images for quantitatively characterizing disease patterns. There has been …
radiographic images for quantitatively characterizing disease patterns. There has been …
Computer-aided classification of prostate cancer grade groups from MRI images using texture features and stacked sparse autoencoder
A novel method to determine the Grade Group (GG) in prostate cancer (PCa) using multi-
parametric magnetic resonance imaging (mpMRI) biomarkers is investigated in this paper. In …
parametric magnetic resonance imaging (mpMRI) biomarkers is investigated in this paper. In …
Diffusion tensor magnetic resonance imaging of breast cancer: associations between diffusion metrics and histological prognostic factors
Objectives To investigate whether quantitative diffusion metrics derived from diffusion tensor
imaging (DTI) are associated with histological prognostic factors in breast cancer patients …
imaging (DTI) are associated with histological prognostic factors in breast cancer patients …
[HTML][HTML] 定量功能磁共振成像技术在前列腺癌中的临床应用及进展
李梦思， 李文政 - Journal of Central South University Medical …, 2021 - ncbi.nlm.nih.gov
磁共振成像是临床上前列腺癌诊断和治疗过程中非常重要的影像学检查方法，
随着功能磁共振成像技术的发展与逐渐成熟， 其提供的定量参数有望进一步提高磁共振成像的 …
随着功能磁共振成像技术的发展与逐渐成熟， 其提供的定量参数有望进一步提高磁共振成像的 …
Characterization of prostate cancer using diffusion tensor imaging: A new perspective
N Gholizadeh, PB Greer, J Simpson, J Denham… - European journal of …, 2019 - Elsevier
Purpose This study is aimed at evaluating the potential role of quantitative magnetic
resonance diffusion tensor imaging (DTI) and tractography parameters in the detection and …
resonance diffusion tensor imaging (DTI) and tractography parameters in the detection and …
Performance of diffusion kurtosis imaging versus diffusion tensor imaging in discriminating between benign tissue, low and high Gleason grade prostate cancer
Rationale and Objectives To investigate the performance of diffusion kurtosis imaging (DKI)
and diffusion tensor imaging (DTI) in discriminating benign tissue, low-and high-grade …
and diffusion tensor imaging (DTI) in discriminating benign tissue, low-and high-grade …
Computer-aided grading of prostate cancer from MRI images using convolutional neural networks
Grading of prostate cancer is usually done using Transrectal Ultrasound (TRUS) biopsy
followed by microscopic examination of histological images by the pathologist. TRUS is a …
followed by microscopic examination of histological images by the pathologist. TRUS is a …
Mapping prostatic microscopic anisotropy using linear and spherical b‐tensor encoding: a preliminary study
M Nilsson, G Eklund, F Szczepankiewicz… - Magnetic resonance …, 2021 - Wiley Online Library
Purpose Tensor‐valued diffusion encoding provides more specific information than
conventional diffusion‐weighted imaging (DWI), but has mainly been applied in …
conventional diffusion‐weighted imaging (DWI), but has mainly been applied in …
The value of synthetic magnetic resonance imaging in the diagnosis and assessment of prostate cancer aggressiveness
Z Gao, X Xu, H Sun, T Li, W Ding… - … Imaging in Medicine …, 2024 - pmc.ncbi.nlm.nih.gov
Background Synthetic magnetic resonance imaging (SyMRI) is a fast, standardized, and
robust novel quantitative technique that has the potential to circumvent the subjectivity of …
robust novel quantitative technique that has the potential to circumvent the subjectivity of …
[HTML][HTML] Radiomics based Machine Learning Models for Classification of Prostate Cancer Grade Groups from Multi Parametric MRI Images
F Zandie, M Salehi, A Maziar… - Journal of Medical …, 2024 - journals.lww.com
Purpose: This study aimed to investigate the performance of multiparametric magnetic
resonance imaging (mpMRI) radiomic feature-based machine learning (ML) models in …
resonance imaging (mpMRI) radiomic feature-based machine learning (ML) models in …