AIMC Topic: Multimodal Imaging

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An explainable predictive machine learning model for axillary lymph node metastasis in breast cancer based on multimodal data: A retrospective single-center study.

Journal of translational medicine Aug 11, 2025
OBJECTIVE: To develop explainable machine learning models that integrate multimodal imaging and pathological biomarkers to predict axillary lymph node metastasis (ALNM) in breast cancer patients and assess their clinical utility.
Area Under Curve Bayes Theorem Adult Breast Neoplasms Middle Aged ROC Curve Lymph Nodes Lymphatic Metastasis Axilla Multimodal Imaging Machine Learning Retrospective Studies Female Aged Humans
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Multimodal radiomics in glioma: predicting recurrence in the peritumoural brain zone using integrated MRI.

BMC medical imaging Aug 11, 2025
BACKGROUND: Gliomas exhibit a high recurrence rate, particularly in the peritumoural brain zone after surgery. This study aims to develop and validate a radiomics-based model using preoperative fluid-attenuated inversion recovery (FLAIR) and T1-weigh...
Female Aged Young Adult Adult Humans Glioma Retrospective Studies Radiomics Magnetic Resonance Imaging Brain Neoplasms Multimodal Imaging Male Neoplasm Recurrence, Local Middle Aged
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The development of a multimodal prediction model based on CT and MRI for the prognosis of pancreatic cancer.

BMC gastroenterology Aug 6, 2025
PURPOSE: To develop and validate a hybrid radiomics model to predict the overall survival in pancreatic cancer patients and identify risk factors that affect patient prognosis.
Humans Prognosis Retrospective Studies Tomography, X-Ray Computed Middle Aged Contrast Media Magnetic Resonance Imaging Multimodal Imaging Female Risk Factors Aged Male Pancreatic Neoplasms Proportional Hazards Models
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Multi-modal classification of retinal disease based on convolutional neural network.

Biomedical physics & engineering express Jul 28, 2025
Retinal diseases such as age-related macular degeneration and diabetic retinopathy will lead to irreversible blindness without timely diagnosis and treatment. Optical coherence tomography (OCT) and optical coherence tomography angiography (OCTA) imag...
Retina Humans Macular Degeneration Convolutional Neural Networks Diabetic Retinopathy Neural Networks, Computer Image Processing, Computer-Assisted Algorithms Multimodal Imaging Deep Learning Tomography, Optical Coherence Retinal Diseases
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An end-to-end interpretable machine-learning-based framework for early-stage diagnosis of gallbladder cancer using multi-modality medical data.

BMC cancer Jul 16, 2025
BACKGROUND: The accurate early-stage diagnosis of gallbladder cancer (GBC) is regarded as one of the major challenges in the field of oncology. However, few studies have focused on the comprehensive classification of GBC based on multiple modalities....
Multimodal Imaging Neoplasm Staging Gallbladder Neoplasms Tomography, X-Ray Computed Female Aged Adult Sensitivity and Specificity Male Middle Aged Early Detection of Cancer Humans Machine Learning Retrospective Studies
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Integrative multimodal ultrasound and radiomics for early prediction of neoadjuvant therapy response in breast cancer: a clinical study.

BMC cancer Jul 9, 2025
PURPOSE: This study aimed to develop an early predictive model for neoadjuvant therapy (NAT) response in breast cancer by integrating multimodal ultrasound (conventional B-mode, shear-wave elastography, and contrast-enhanced ultrasound) and radiomics...
Elasticity Imaging Techniques Neoadjuvant Therapy Multimodal Imaging Ultrasonography, Mammary Aged Humans Middle Aged Adult Retrospective Studies Ultrasonography Breast Neoplasms Female ROC Curve Radiomics Treatment Outcome
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Multimodal Optical Imaging Combined with Radiomic Analysis for Fibrotic Cardiac Tissue Investigation.

Analytical chemistry Jul 5, 2025
Understanding the process of fibrotic scarring of the myocardium is critical for the diagnosis and risk stratification of life-threatening cardiac dysfunction. Complex changes in structure, composition, and conductivity occurring at different stages ...
Radiomics Animals Rats Spectrum Analysis, Raman Microscopy, Fluorescence, Multiphoton Multimodal Imaging Tomography, Optical Coherence Myocardium Fibrosis Optical Imaging
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Multi-modality radiomics diagnosis of breast cancer based on MRI, ultrasound and mammography.

BMC medical imaging Jul 4, 2025
OBJECTIVE: To develop a multi-modality machine learning-based radiomics model utilizing Magnetic Resonance Imaging (MRI), Ultrasound (US), and Mammography (MMG) for the differentiation of benign and malignant breast nodules.
Retrospective Studies Adult Humans Diagnosis, Differential Breast Neoplasms Machine Learning Female Ultrasonography, Mammary Radiomics Aged Middle Aged ROC Curve Magnetic Resonance Imaging Mammography Multimodal Imaging
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Hierarchical in-out fusion for incomplete multimodal brain tumor segmentation.

Scientific reports Jul 2, 2025
Fusing multimodal data play a crucial role in accurate brain tumor segmentation network and clinical diagnosis, especially in scenarios with incomplete multimodal data. Existing multimodal fusion models usually perform intra-modal fusion at both shal...
Brain Neoplasms Humans Image Processing, Computer-Assisted Neural Networks, Computer Magnetic Resonance Imaging Algorithms Multimodal Imaging
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Photoacoustic-Integrated Multimodal Approach for Colorectal Cancer Diagnosis.

ACS biomaterials science & engineering Jul 1, 2025
Colorectal cancer remains a major global health challenge, emphasizing the need for advanced diagnostic tools that enable early and accurate detection. Photoacoustic (PA) spectroscopy, a hybrid technique combining optical absorption with acoustic res...
Multimodal Imaging Humans Photoacoustic Techniques Machine Learning Colorectal Neoplasms Nanoparticles
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