AIMC Topic: Multiparametric Magnetic Resonance Imaging
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Radiomics and machine learning of multisequence multiparametric prostate MRI: Towards improved non-invasive prostate cancer characterization.
PloS one
Jul 8, 2019
PURPOSE: To develop and validate a classifier system for prediction of prostate cancer (PCa) Gleason score (GS) using radiomics and texture features of T2-weighted imaging (T2w), diffusion weighted imaging (DWI) acquired using high b values, and T2-m...
Machine learning for prediction of chemoradiation therapy response in rectal cancer using pre-treatment and mid-radiation multi-parametric MRI.
Magnetic resonance imaging
May 3, 2019
PURPOSE: To predict the neoadjuvant chemoradiation therapy (CRT) response in patients with locally advanced rectal cancer (LARC) using radiomics and deep learning based on pre-treatment MRI and a mid-radiation follow-up MRI taken 3-4 weeks after the ...
Joint Prostate Cancer Detection and Gleason Score Prediction in mp-MRI via FocalNet.
IEEE transactions on medical imaging
Feb 27, 2019
Multi-parametric MRI (mp-MRI) is considered the best non-invasive imaging modality for diagnosing prostate cancer (PCa). However, mp-MRI for PCa diagnosis is currently limited by the qualitative or semi-quantitative interpretation criteria, leading t...
Detection of mild cognitive impairment in a community-dwelling population using quantitative, multiparametric MRI-based classification.
Human brain mapping
Feb 25, 2019
Early and accurate mild cognitive impairment (MCI) detection within a heterogeneous, nonclinical population is needed to improve care for persons at risk of developing dementia. Magnetic resonance imaging (MRI)-based classification may aid early diag...
Objective risk stratification of prostate cancer using machine learning and radiomics applied to multiparametric magnetic resonance images.
Scientific reports
Feb 7, 2019
Multiparametric magnetic resonance imaging (mpMRI) has become increasingly important for the clinical assessment of prostate cancer (PCa), but its interpretation is generally variable due to its relatively subjective nature. Radiomics and classificat...
Machine Learning to Differentiate T2-Weighted Hyperintense Uterine Leiomyomas from Uterine Sarcomas by Utilizing Multiparametric Magnetic Resonance Quantitative Imaging Features.
Academic radiology
Jan 17, 2019
RATIONALE AND OBJECTIVE: Uterine leiomyomas with high signal intensity on T2-weighted imaging (T2WI) can be difficult to distinguish from sarcomas. This study assessed the feasibility of using machine learning to differentiate uterine sarcomas from l...
Study on predicting breast cancer Ki-67 expression using a combination of radiomics and deep learning based on multiparametric MRI.
Magnetic resonance imaging
Sep 1, 2025
PURPOSE: To develop a multiparametric breast MRI radiomics and deep learning-based multimodal model for predicting preoperative Ki-67 expression status in breast cancer, with the potential to advance individualized treatment and precision medicine fo...
Breast
Image Interpretation, Computer-Assisted
Ki-67 Antigen
Diffusion Magnetic Resonance Imaging
Image Processing, Computer-Assisted
Contrast Media
Magnetic Resonance Imaging
Predictive Value of Tests
Multiparametric Magnetic Resonance Imaging
Reproducibility of Results
Aged
Adult
Sensitivity and Specificity
Middle Aged
Deep Learning
ROC Curve
Breast Neoplasms
Humans
Radiomics
Female
Comparison of clinical, radiomics, deep learning, and fusion models for predicting early recurrence in locally advanced rectal cancer based on multiparametric MRI: a multicenter study.
European journal of radiology
Aug 1, 2025
OBJECTIVE: Predicting early recurrence (ER) in locally advanced rectal cancer (LARC) is critical for clinical decision-making. This study aimed at comparing clinical, deep learning (DL), radiomics, and two fusion models for ER prediction based on mul...
ChatGPT artificial intelligence in clinical data analysis: an example comparing standard fusion prostate biopsy outcomes after robotic-assisted radical prostatectomy (RaRP).
Archivio italiano di urologia, andrologia : organo ufficiale [di] Societa italiana di ecografia urologica e nefrologica
Jun 30, 2025
OBJECTIVE: To compare statistical outputs from ChatGPT 4.0 and human experts in both comparative and correlation analyses in the evaluation of multiparametric MRI/ultrasound fusion-targeted biopsy plus random biopsy versus standard random biopsy alon...
Impact of artificial intelligence assisted lesion detection on radiologists' interpretation at multiparametric prostate MRI.
Clinical imaging
Jun 1, 2025
PURPOSE: To compare prostate cancer lesion detection using conventional and artificial intelligence (AI)-assisted image interpretation at multiparametric MRI (mpMRI).
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