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Nomograms

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Non-invasive assessment of response to transcatheter arterial chemoembolization for hepatocellular carcinoma with the deep neural networks-based radiomics nomogram.

Acta radiologica (Stockholm, Sweden : 1987) Mar 15, 2024
BACKGROUND: Transcatheter arterial chemoembolization (TACE) is a mainstay treatment for intermediate and advanced hepatocellular carcinoma (HCC), with the potential to enhance patient survival. Preoperative prediction of postoperative response to TAC...
Female Treatment Outcome Aged Chemoembolization, Therapeutic Adult Radiomics Liver Neoplasms Male Carcinoma, Hepatocellular Middle Aged Nomograms Deep Learning Humans Neural Networks, Computer Retrospective Studies Tomography, X-Ray Computed
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Mining phase separation-related diagnostic biomarkers for endometriosis through WGCNA and multiple machine learning techniques: a retrospective and nomogram study.

Journal of assisted reproduction and genetics Mar 8, 2024
OBJECTIVE: The objective of this study was to investigate the role of phase separation-related genes in the development of endometriosis (EMs) and to identify potential characteristic genes associated with the condition.
Humans Machine Learning Gene Regulatory Networks Nomograms Endometriosis Biomarkers Phase Separation Retrospective Studies Female Gene Expression Profiling
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Development of a microultrasound-based nomogram to predict extra-prostatic extension in patients with prostate cancer undergoing robot-assisted radical prostatectomy.

Urologic oncology Feb 29, 2024
OBJECTIVES: To develop a microultrasound-based nomogram including clinicopathological parameters and microultrasound findings to predict the presence of extra-prostatic extension and guide the grade of nerve-sparing.
Retrospective Studies Male Nomograms Robotics Prostatic Neoplasms Humans Prostate Prostatectomy
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Prognostic Value of a Combined Nomogram Model Integrating 3-Dimensional Deep Learning and Radiomics for Head and Neck Cancer.

Journal of computer assisted tomography Feb 27, 2024
OBJECTIVE: The preoperative prediction of the overall survival (OS) status of patients with head and neck cancer (HNC) is significant value for their individualized treatment and prognosis. This study aims to evaluate the impact of adding 3D deep lea...
Prognosis Nomograms Retrospective Studies Middle Aged Female Humans Head and Neck Neoplasms Deep Learning Aged Positron Emission Tomography Computed Tomography Imaging, Three-Dimensional Adult Radiomics Male
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Biopsy or Follow-up: AI Improves the Clinical Strategy of US BI-RADS 4A Breast Nodules Using a Convolutional Neural Network.

Clinical breast cancer Feb 20, 2024
OBJECTIVES: To develop predictive nomograms based on clinical and ultrasound features and to improve the clinical strategy for US BI-RADS 4A lesions.
Biopsy Ultrasonography, Mammary Breast ROC Curve Nomograms Humans Follow-Up Studies Neural Networks, Computer Adult Breast Neoplasms Retrospective Studies Middle Aged Female Deep Learning Aged
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A Machine Learning Computational Framework Develops a Multiple Programmed Cell Death Index for Improving Clinical Outcomes in Bladder Cancer.

Biochemical genetics Feb 14, 2024
Comprehensive action patterns of programmed cell death (PCD) in bladder cancer (BLCA) have not yet been thoroughly investigated. Here, we collected 19 different PCD patterns, including 1911 PCD-related genes, and developed a multiple programmed cell ...
Female Male Computational Biology Nomograms Humans Machine Learning Prognosis Urinary Bladder Neoplasms Apoptosis
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Magnetic resonance imaging-based radiomics and deep learning models for predicting lymph node metastasis of squamous cell carcinoma of the tongue.

Oral surgery, oral medicine, oral pathology and oral radiology Feb 3, 2024
OBJECTIVE: This study aimed to establish a combined method of radiomics and deep learning (DL) in magnetic resonance imaging (MRI) to predict lymph node metastasis (LNM) preoperatively in patients with squamous cell carcinoma of the tongue.
Middle Aged Aged Deep Learning Humans Retrospective Studies Female Carcinoma, Squamous Cell Lymphatic Metastasis Magnetic Resonance Imaging Predictive Value of Tests Tongue Neoplasms Adult Radiomics Male Nomograms
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Robot-assisted versus laparoscopic pheochromocytoma resection and construction of a nomogram to predict perioperative hemodynamic instability.

European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology Feb 1, 2024
BACKGROUND: Despite recent improvements in perioperative outcomes after pheochromocytoma resection, hemodynamic instability (HI) remained of high concern. The emergence of robot-assisted surgery may bring different results to pheochromocytoma surgery...
Retrospective Studies Hemodynamics Nomograms Adrenal Gland Neoplasms Humans Robotics Laparoscopy Pheochromocytoma
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Development and validation of outcome prediction model for reperfusion therapy in acute ischemic stroke using nomogram and machine learning.

Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology Jan 26, 2024
OBJECTIVE: To develop logistic regression nomogram and machine learning (ML)-based models to predict 3-month unfavorable functional outcome for acute ischemic stroke (AIS) patients undergoing reperfusion therapy.
Middle Aged Nomograms Ischemic Stroke Prognosis Humans Treatment Outcome Thrombolytic Therapy Female Machine Learning Reperfusion Aged Prospective Studies Male
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Ultrasound-based deep learning radiomics nomogram for risk stratification of testicular masses: a two-center study.

Journal of cancer research and clinical oncology Jan 19, 2024
OBJECTIVE: To develop an ultrasound-driven clinical deep learning radiomics (CDLR) model for stratifying the risk of testicular masses, aiming to guide individualized treatment and minimize unnecessary procedures.
Deep Learning Nomograms Retrospective Studies Radiomics Humans Risk Assessment
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