AIMC Topic: Neoplasm Invasiveness

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Preoperative evaluation of visceral pleural invasion in peripheral lung cancer utilizing deep learning technology.

Surgery today May 23, 2024
PURPOSE: This study aimed to assess the efficiency of artificial intelligence (AI) in the detection of visceral pleural invasion (VPI) of lung cancer using high-resolution computed tomography (HRCT) images, which is challenging for experts because of...
Preoperative Period Pleura Carcinoma, Non-Small-Cell Lung Neoplasm Invasiveness Neoplasm Staging Pleural Neoplasms Female Aged Aged, 80 and over Adult Sensitivity and Specificity Male Middle Aged Deep Learning Lung Neoplasms Humans Artificial Intelligence Retrospective Studies Tomography, X-Ray Computed
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A novel artificial intelligence-based endoscopic ultrasonography diagnostic system for diagnosing the invasion depth of early gastric cancer.

Journal of gastroenterology May 7, 2024
BACKGROUND: We developed an artificial intelligence (AI)-based endoscopic ultrasonography (EUS) system for diagnosing the invasion depth of early gastric cancer (EGC), and we evaluated the performance of this system.
Stomach Neoplasms Artificial Intelligence Sensitivity and Specificity Male Female Early Detection of Cancer Middle Aged Humans Aged Neoplasm Invasiveness Aged, 80 and over Area Under Curve Adult Endosonography
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Machine learning models to predict submucosal invasion in early gastric cancer based on endoscopy features and standardized color metrics.

Scientific reports May 7, 2024
Conventional endoscopy is widely used in the diagnosis of early gastric cancers (EGCs), but the graphical features were loosely defined and dependent on endoscopists' experience. We aim to establish a more accurate predictive model for infiltration d...
Humans Machine Learning Retrospective Studies Middle Aged Logistic Models Early Detection of Cancer Neoplasm Invasiveness Decision Trees Female Aged Stomach Neoplasms Male Color Gastroscopy Gastric Mucosa
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Letter to the editor regarding "Application of the convolution neural network in determining the depth of invasion of gastrointestinal cancer: a systematic review and meta-analysis".

Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract May 2, 2024
Gastrointestinal Neoplasms Neural Networks, Computer Neoplasm Invasiveness Systematic Reviews as Topic Meta-Analysis as Topic Humans
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A CT-based deep learning model predicts overall survival in patients with muscle invasive bladder cancer after radical cystectomy: a multicenter retrospective cohort study.

International journal of surgery (London, England) May 1, 2024
BACKGROUND: Muscle invasive bladder cancer (MIBC) has a poor prognosis even after radical cystectomy (RC). Postoperative survival stratification based on radiomics and deep learning (DL) algorithms may be useful for treatment decision-making and foll...
Humans Prognosis Retrospective Studies Tomography, X-Ray Computed Deep Learning Nomograms Urinary Bladder Neoplasms Neoplasm Invasiveness Cystectomy Female Aged Male Middle Aged
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Ultrasound-Based Deep Learning Radiomics Nomogram for the Assessment of Lymphovascular Invasion in Invasive Breast Cancer: A Multicenter Study.

Academic radiology Apr 23, 2024
RATIONALE AND OBJECTIVES: The aim of this study was to develop a deep learning radiomics nomogram (DLRN) based on B-mode ultrasound (BMUS) and color doppler flow imaging (CDFI) images for preoperative assessment of lymphovascular invasion (LVI) statu...
Humans Retrospective Studies Female Aged Adult Breast Neoplasms Radiomics Neoplasm Invasiveness Middle Aged Ultrasonography, Mammary Deep Learning Ultrasonography, Doppler, Color Nomograms Lymphatic Metastasis
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Bladder MRI with deep learning-based reconstruction: a prospective evaluation of muscle invasiveness using VI-RADS.

Abdominal radiology (New York) Apr 23, 2024
PURPOSE: To investigate the influence of deep learning reconstruction (DLR) on bladder MRI, specifically examination time, image quality, and diagnostic performance of vesical imaging reporting and data system (VI-RADS) within a prospective clinical ...
Neoplasm Invasiveness Image Interpretation, Computer-Assisted Urinary Bladder Diffusion Magnetic Resonance Imaging Female Aged Aged, 80 and over Adult Humans Male Prospective Studies Middle Aged Deep Learning Magnetic Resonance Imaging Urinary Bladder Neoplasms
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Preoperative detection of hepatocellular carcinoma's microvascular invasion on CT-scan by machine learning and radiomics: A preliminary analysis.

European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology Mar 24, 2024
INTRODUCTION: Microvascular invasion (MVI) is the main risk factor for overall mortality and recurrence after surgery for hepatocellular carcinoma (HCC).The aim was to train machine-learning models to predict MVI on preoperative CT scan.
Male Middle Aged Liver Neoplasms Carcinoma, Hepatocellular Tomography, X-Ray Computed Neoplasm Invasiveness Humans Female Microvessels Neural Networks, Computer Aged Machine Learning Radiomics Retrospective Studies
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Computed tomography-based 3D convolutional neural network deep learning model for predicting micropapillary or solid growth pattern of invasive lung adenocarcinoma.

La Radiologia medica Mar 21, 2024
PURPOSE: To investigate the value of a computed tomography (CT)-based deep learning (DL) model to predict the presence of micropapillary or solid (M/S) growth pattern in invasive lung adenocarcinoma (ILADC).
Middle Aged Humans Deep Learning Predictive Value of Tests Neural Networks, Computer Imaging, Three-Dimensional Adenocarcinoma of Lung Retrospective Studies Tomography, X-Ray Computed Lung Neoplasms Neoplasm Invasiveness Female Aged Male
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Fully Automated Identification of Lymph Node Metastases and Lymphovascular Invasion in Endometrial Cancer From Multi-Parametric MRI by Deep Learning.

Journal of magnetic resonance imaging : JMRI Mar 12, 2024
BACKGROUND: Early and accurate identification of lymphatic node metastasis (LNM) and lymphatic vascular space invasion (LVSI) for endometrial cancer (EC) patients is important for treatment design, but difficult on multi-parametric MRI (mpMRI) images...
Diffusion Magnetic Resonance Imaging Multiparametric Magnetic Resonance Imaging Female Magnetic Resonance Imaging Aged ROC Curve Neoplasm Invasiveness Adult Image Processing, Computer-Assisted Image Interpretation, Computer-Assisted Middle Aged Lymph Nodes Endometrial Neoplasms Deep Learning Humans Lymphatic Metastasis Retrospective Studies
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