AIMC Topic: Retrospective Studies

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Development of a machine learning-based diagnostic model using hematological parameters to differentiate periductal mastitis from granulomatous lobular mastitis.

Science progress Apr 13, 2025
ObjectiveNonpuerperal mastitis (NPM) is an inflammatory condition, including periductal mastitis (PDM) and granulomatous lobular mastitis (GLM). The clinical manifestations of PDM and GLM are highly similar, posing significant challenges in their dif...
Logistic Models Diagnosis, Differential Area Under Curve Granulomatous Mastitis Female Humans Adult Machine Learning Middle Aged Algorithms ROC Curve Retrospective Studies Mastitis
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Machine learning-based MRI radiomics to predict postoperative complications following peripheral nerve sheath tumour excision.

The Journal of hand surgery, European volume Apr 12, 2025
This study sought to establish and validate a machine learning-based multi-sequence MRI radiomics model for predicting postoperative complications in patients with peripheral nerve sheath tumours. We conducted a retrospective analysis of 303 patients...
Humans Machine Learning Male Middle Aged Postoperative Complications Retrospective Studies Magnetic Resonance Imaging Female Nerve Sheath Neoplasms Aged Adult Radiomics
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MRI radiomics combined with delta-radiomics model for predicting pathological complete response in locally advanced rectal cancer patients after neoadjuvant chemoradiotherapy: A multi-institutional study.

Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine Apr 12, 2025
PURPOSE: To construct and validate a magnetic resonance imaging (MRI) radiomics combined with delta-radiomics and clinical information (C) model for predicting pathological complete response (pCR) in patients with locally advanced rectal cancer (LARC...
Radiomics Male Middle Aged Treatment Outcome Neoadjuvant Therapy Retrospective Studies Female Aged Adult Magnetic Resonance Imaging Rectal Neoplasms Chemoradiotherapy Diffusion Magnetic Resonance Imaging Humans
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Remdesivir associated with reduced mortality in hospitalized COVID-19 patients: treatment effectiveness using real-world data and natural language processing.

BMC infectious diseases Apr 12, 2025
BACKGROUND: Remdesivir (RDV) was the first antiviral approved for mild-to-moderate COVID-19 and for those patients at risk for progression to severe disease after clinical trials supported its association with improved outcomes. Real-world evidence (...
Aged, 80 and over Male Middle Aged Adenosine Monophosphate Hospital Mortality Humans Treatment Outcome Antiviral Agents Machine Learning Female COVID-19 Natural Language Processing SARS-CoV-2 Retrospective Studies COVID-19 Drug Treatment Hospitalization Electronic Health Records Spain Aged Alanine
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A High-resolution T2WI-based Deep Learning Model for Preoperative Discrimination Between T2 and T3 Rectal Cancer: A Multicenter Study.

Academic radiology Apr 11, 2025
RATIONALE AND OBJECTIVES: To construct a deep learning model (DL) based on high-resolution T2-weighted images for preoperative differentiation between T2 and T3 stage rectal cancer (RC), and to compare its performance with experienced radiologists.
Retrospective Studies Female Aged Aged, 80 and over Adult Humans Magnetic Resonance Imaging Neoplasm Staging Rectal Neoplasms Image Interpretation, Computer-Assisted Sensitivity and Specificity Male Middle Aged Deep Learning
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Deep learning-based prediction of enhanced CT scans for lymph node metastasis in esophageal squamous cell carcinoma.

Japanese journal of radiology Apr 11, 2025
BACKGROUND: Esophageal squamous cell carcinoma (ESCC) poses a significant global health challenge with a particularly grim prognosis. Accurate prediction of lymph node metastasis (LNM) in ESCC is crucial for optimizing treatment strategies and improv...
Radiographic Image Interpretation, Computer-Assisted Esophageal Neoplasms Esophageal Squamous Cell Carcinoma Retrospective Studies Lymph Nodes Tomography, X-Ray Computed Female Lymphatic Metastasis Aged Contrast Media Aged, 80 and over Predictive Value of Tests Adult Sensitivity and Specificity Male Middle Aged Humans Deep Learning
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A comparison of an integrated and image-only deep learning model for predicting the disappearance of indeterminate pulmonary nodules.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Apr 11, 2025
BACKGROUND: Indeterminate pulmonary nodules (IPNs) require follow-up CT to assess potential growth; however, benign nodules may disappear. Accurately predicting whether IPNs will resolve is a challenge for radiologists. Therefore, we aim to utilize d...
Radiographic Image Interpretation, Computer-Assisted Deep Learning Lung Neoplasms Multiple Pulmonary Nodules Solitary Pulmonary Nodule Humans Retrospective Studies Tomography, X-Ray Computed Female Aged Sensitivity and Specificity Male Middle Aged
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External Validation of an Artificial Intelligence Algorithm Using Biparametric MRI and Its Simulated Integration with Conventional PI-RADS for Prostate Cancer Detection.

Academic radiology Apr 11, 2025
PURPOSE: Prostate imaging reporting and data systems (PI-RADS) experiences considerable variability in inter-reader performance. Artificial Intelligence (AI) algorithms were suggested to provide comparable performance to PI-RADS for assessing prostat...
Reproducibility of Results Aged Sensitivity and Specificity Male Middle Aged Magnetic Resonance Imaging Prostatic Neoplasms Image Interpretation, Computer-Assisted Radiology Information Systems Humans Artificial Intelligence Algorithms Retrospective Studies
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Novel CT radiomics models for the postoperative prediction of early recurrence of resectable pancreatic adenocarcinoma: A single-center retrospective study in China.

Journal of applied clinical medical physics Apr 11, 2025
PURPOSE: To assess the predictive capability of CT radiomics features for early recurrence (ER) of pancreatic ductal adenocarcinoma (PDAC).
Humans Prognosis Retrospective Studies Tomography, X-Ray Computed Female Aged Neoplasm Recurrence, Local China Adult Carcinoma, Pancreatic Ductal Radiomics ROC Curve Male Image Processing, Computer-Assisted Middle Aged Adenocarcinoma Pancreatic Neoplasms
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Oxidative Stress Markers and Prediction of Severity With a Machine Learning Approach in Hospitalized Patients With COVID-19 and Severe Lung Disease: Observational, Retrospective, Single-Center Feasibility Study.

JMIR formative research Apr 11, 2025
BACKGROUND: Serious pulmonary pathologies of infectious, viral, or bacterial origin are accompanied by inflammation and an increase in oxidative stress (OS). In these situations, biological measurements of OS are technically difficult to obtain, and ...
Oxidative Stress Feasibility Studies Lung Diseases France Humans Aged Machine Learning Adult COVID-19 Male Biomarkers Middle Aged Severity of Illness Index Retrospective Studies Female SARS-CoV-2 Hospitalization
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