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Response to the letter to the editor on the article: radiomics nomogram based on optimal VOI of multi-sequence MRI for predicting microvascular invasion in intrahepatic cholangiocarcinoma
Response to the letter to the editor on the article: radiomics nomogram based on optimal VOI of multi-sequence MRI for predicting microvascular invasion in intrahepatic cholangiocarcinoma
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, whi...
The risk-based breast screening (RIBBS) study protocol: a personalized screening model for young women
The risk-based breast screening (RIBBS) study protocol: a personalized screening model for young women
The optimal mammography screening strategy for women aged 45–49 years is a matter of debate. We present the...
Pancreatic cancer detection with dual-energy CT: diagnostic performance of 40 keV and 70 keV virtual monoenergetic images
Pancreatic cancer detection with dual-energy CT: diagnostic performance of 40 keV and 70 keV virtual monoenergetic images
To compare the diagnostic performance of 40 keV and 70 keV virtual monoenergetic images (VMIs) generated from dua...
Value of virtual non-contrast images to identify uncomplicated cystic renal lesions: photon-counting detector CT vs. dual-energy integrating detector CT
Value of virtual non-contrast images to identify uncomplicated cystic renal lesions: photon-counting detector CT vs. dual-energy integrating detector CT
To investigate the value of photon-counting detector CT (PCD-CT) derived virtual non-contrast (VNC) reconstructions to ide...
Multi-omics staging of locally advanced rectal cancer predicts treatment response: a pilot study
Multi-omics staging of locally advanced rectal cancer predicts treatment response: a pilot study
Treatment response assessment of rectal cancer patients is a critical component of personalized cancer care and it allows ...
Hug sign in intraprocedural cone-beam-CT to predict short-term response to combined treatment of hepatocellular carcinoma
Hug sign in intraprocedural cone-beam-CT to predict short-term response to combined treatment of hepatocellular carcinoma
Combined treatment of ablation and chemoembolization for hepatocellular carcinoma represents a promising therapy to increa...
Computed tomography-based 3D convolutional neural network deep learning model for predicting micropapillary or solid growth pattern of invasive lung adenocarcinoma
Computed tomography-based 3D convolutional neural network deep learning model for predicting micropapillary or solid growth pattern of invasive lung adenocarcinoma
To investigate the value of a computed tomography (CT)-based deep learning (DL) model to predict the presence of micropapi...
Nomogram for preoperative differentiation of benign and malignant breast tumors using contrast-enhanced cone-beam breast CT (CE CB-BCT) quantitative imaging and assessment features
Nomogram for preoperative differentiation of benign and malignant breast tumors using contrast-enhanced cone-beam breast CT (CE CB-BCT) quantitative imaging and assessment features
Breast cancer's impact necessitates refined diagnostic approaches. This study develops a nomogram using radiology quan...
MRI-based radiomics for prediction of extraprostatic extension of prostate cancer: a systematic review and meta-analysis
MRI-based radiomics for prediction of extraprostatic extension of prostate cancer: a systematic review and meta-analysis
We to systematically evaluate the diagnostic performance of MRI radiomics in detecting extracapsular extension (EPE) of pr...
Long-term outcome of 9G MRI-guided vacuum-assisted breast biopsy: results of 293 single-center procedures and underestimation rate of high-risk lesions over 12 years
Long-term outcome of 9G MRI-guided vacuum-assisted breast biopsy: results of 293 single-center procedures and underestimation rate of high-risk lesions over 12 years
Breast magnetic resonance imaging (MRI) can detect some malignant lesions that are not visible on mammography (MX) or ultr...
PSMA-positive prostatic volume prediction with deep learning based on T2-weighted MRI
PSMA-positive prostatic volume prediction with deep learning based on T2-weighted MRI
High PSMA expression might be correlated with structural characteristics such as growth patterns on histopathology, not re...
Artificial intelligence-based, semi-automated segmentation for the extraction of ultrasound-derived radiomics features in breast cancer: a prospective multicenter study
Artificial intelligence-based, semi-automated segmentation for the extraction of ultrasound-derived radiomics features in breast cancer: a prospective multicenter study
To investigate the feasibility of an artificial intelligence (AI)-based semi-automated segmentation for the extraction of ...
The performance of the node reporting and data system 1.0 (Node-RADS) and DWI–MRI in staging patients with cervical carcinoma according to the new FIGO classification (2018)
The performance of the node reporting and data system 1.0 (Node-RADS) and DWI–MRI in staging patients with cervical carcinoma according to the new FIGO classification (2018)
To evaluate the diagnostic accuracy of the Node-RADS score and the utility of apparent diffusion coefficient (ADC) values ...
The influence of manual segmentation strategies and different phases selection on machine learning-based computed tomography in renal tumors: a systematic review and meta-analysis
The influence of manual segmentation strategies and different phases selection on machine learning-based computed tomography in renal tumors: a systematic review and meta-analysis
Delineating the region/volume of interest (ROI/VOI) and selecting the phases are of importance in developing machine learn...
Dual-energy CT in musculoskeletal imaging: technical considerations and clinical applications
Dual-energy CT in musculoskeletal imaging: technical considerations and clinical applications
Dual-energy CT stands out as a robust and innovative imaging modality, which has shown impressive advancements and increas...
A multicentric study of radiomics and artificial intelligence analysis on contrast-enhanced mammography to identify different histotypes of breast cancer
A multicentric study of radiomics and artificial intelligence analysis on contrast-enhanced mammography to identify different histotypes of breast cancer
To evaluate the performance of radiomic analysis on contrast-enhanced mammography images to identify different histotypes ...
Machine learning and radiomics analysis by computed tomography in colorectal liver metastases patients for RAS mutational status prediction
Machine learning and radiomics analysis by computed tomography in colorectal liver metastases patients for RAS mutational status prediction
To assess the efficacy of machine learning and radiomics analysis by computed tomography (CT) in presurgical setting, to p...
Residual networks models detection of atrial septal defect from chest radiographs
Residual networks models detection of atrial septal defect from chest radiographs
The purpose of this study was to explore a machine learning-based residual networks (ResNets) model to detect atrial septa...
The role of an artificial intelligence software in clinical senology: a mammography multi-reader study
The role of an artificial intelligence software in clinical senology: a mammography multi-reader study
To evaluate the diagnostic role of a dedicated AI software in detecting anomalous breast findings on mammography and tomos...
Reply to comment to “axillary lymph nodes enlargement after Sars-CoV-2 vaccine in patients undergoing breast examination: a single-centre experience in 285 women”
Reply to comment to “axillary lymph nodes enlargement after Sars-CoV-2 vaccine in patients undergoing breast examination: a single-centre experience in 285 women”
Conflict of interests The authors have not disclosed any co...
22nd European Congress of Trauma and Emergency Surgery
22nd European Congress of Trauma and Emergency Surgery
Share this articleAnyone you share the following link with will be able to read this content:Get shareable linkSorry, a sh...
Radiomics from dual-energy CT-derived iodine maps predict lymph node metastasis in head and neck squamous cell carcinoma
Radiomics from dual-energy CT-derived iodine maps predict lymph node metastasis in head and neck squamous cell carcinoma
To develop and validate an iodine maps-based radiomics nomogram for preoperatively predicting cervical lymph node metastas...
Highly accelerated, Dixon-based non-contrast MR angiography versus high-pitch CT angiography
Highly accelerated, Dixon-based non-contrast MR angiography versus high-pitch CT angiography
To compare a novel, non-contrast, flow-independent, 3D isotropic magnetic resonance angiography (MRA) sequence that combin...
CT enterography-based radiomics combined with body composition to predict infliximab treatment failure in Crohn’s disease
CT enterography-based radiomics combined with body composition to predict infliximab treatment failure in Crohn’s disease
Accurately predicting the treatment response in patients with Crohn’s disease (CD) receiving infliximab therapy is c...
ESR paper on structured reporting in radiology—update 2023
ESR paper on structured reporting in radiology—update 2023
Structured reporting in radiology continues to hold substantial potential to improve the quality of service provided to pa...
Axillary lymph nodes enlargement after Sars-CoV-2 vaccine in patients undergoing breast examination: comment
Axillary lymph nodes enlargement after Sars-CoV-2 vaccine in patients undergoing breast examination: comment
Authors and AffiliationsPrivate Academic Consultant, Samraong, CambodiaAmnuay KleebayoonChandigarh University, Mohali, Ind...
Combined model integrating deep learning, radiomics, and clinical data to classify lung nodules at chest CT
Combined model integrating deep learning, radiomics, and clinical data to classify lung nodules at chest CT
The study aimed to develop a combined model that integrates deep learning (DL), radiomics, and clinical data to classify l...
Applications of Computational Intelligence
Applications of Computational Intelligence
6th IEEE Colombian Conference on Applications of Computational Intelligence, ColCACI 2023, held in Bogota, Colombia during...
Active Inference
Active Inference
The conference proceeding IWAI 2023 cover a wide range of domains that find applications of active inference, ranging from...
Utilizing grayscale ultrasound-based radiomics nomogram for preoperative identification of triple negative breast cancer
Utilizing grayscale ultrasound-based radiomics nomogram for preoperative identification of triple negative breast cancer
This study aimed to develop a radiomics nomogram based on grayscale ultrasound (US) to distinguish triple-negative breast ...
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