AIMC Topic: Tomography, X-Ray Computed

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Advancements in automated classification of chronic obstructive pulmonary disease based on computed tomography imaging features through deep learning approaches.

Respiratory medicine Sep 18, 2024
Chronic Obstructive Pulmonary Disease (COPD) represents a global public health issue that significantly impairs patients' quality of life and overall health. As one of the primary causes of chronic respiratory diseases and global mortality, effective...
Respiratory Function Tests Humans Pulmonary Disease, Chronic Obstructive Tomography, X-Ray Computed Deep Learning
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Deep Learning Model for Pathological Grading and Prognostic Assessment of Lung Cancer Using CT Imaging: A Study on NLST and External Validation Cohorts.

Academic radiology Sep 17, 2024
RATIONALE AND OBJECTIVES: To develop and validate a deep learning model for automated pathological grading and prognostic assessment of lung cancer using CT imaging, thereby providing surgeons with a non-invasive tool to guide surgical planning.
Aged Sensitivity and Specificity Male Middle Aged Deep Learning Cohort Studies Tomography, X-Ray Computed Female Reproducibility of Results Humans Lung Neoplasms Prognosis Carcinoma, Non-Small-Cell Lung Neoplasm Grading
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Can the preoperative CT-based deep learning radiomics model predict histologic grade and prognosis of chondrosarcoma?

European journal of radiology Sep 17, 2024
BACKGROUND AND PURPOSE: Computed tomography (CT) and biopsy may be insufficient for preoperative evaluation of the grade and outcome of patients with chondrosarcoma. The aim of this study was to develop and validate a CT-based deep learning radiomics...
Middle Aged Deep Learning Bone Neoplasms Adult Radiomics Male Predictive Value of Tests Neoplasm Grading Chondrosarcoma Humans Tomography, X-Ray Computed Prognosis Female Retrospective Studies Aged
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A natural language processing-informed adrenal gland incidentaloma clinic improves guideline-based care.

World journal of surgery Sep 17, 2024
INTRODUCTION: Adrenal gland incidentalomas (AGIs) are found in up to 5% of cross-sectional images. However, rates of guideline-based workup for AGIs are notoriously low. We sought to determine if a natural language processing (NLP)-informed AGI clini...
Adrenal Gland Neoplasms Natural Language Processing Practice Guidelines as Topic Incidental Findings Male Algorithms Middle Aged Retrospective Studies Guideline Adherence Tomography, X-Ray Computed Humans Female Aged
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Benchmarking deep learning-based low-dose CT image denoising algorithms.

Medical physics Sep 17, 2024
BACKGROUND: Long-lasting efforts have been made to reduce radiation dose and thus the potential radiation risk to the patient for computed tomography (CT) acquisitions without severe deterioration of image quality. To this end, various techniques hav...
Humans Algorithms Benchmarking Radiation Dosage Signal-To-Noise Ratio Tomography, X-Ray Computed Deep Learning Image Processing, Computer-Assisted
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Out-of-Distribution Detection and Radiological Data Monitoring Using Statistical Process Control.

Journal of imaging informatics in medicine Sep 16, 2024
Machine learning (ML) models often fail with data that deviates from their training distribution. This is a significant concern for ML-enabled devices as data drift may lead to unexpected performance. This work introduces a new framework for out of d...
Humans Machine Learning Tomography, X-Ray Computed Image Processing, Computer-Assisted
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Intratumoral and Peritumoral Radiomics for Predicting the Prognosis of High-grade Serous Ovarian Cancer Patients Receiving Platinum-Based Chemotherapy.

Academic radiology Sep 16, 2024
RATIONALE AND OBJECTIVES: This study aimed to develop a deep learning (DL) prognostic model to evaluate the significance of intra- and peritumoral radiomics in predicting outcomes for high-grade serous ovarian cancer (HGSOC) patients receiving platin...
Aged Adult Radiomics Retrospective Studies Tomography, X-Ray Computed Female Neoplasm Grading Cystadenocarcinoma, Serous Middle Aged Deep Learning Ovarian Neoplasms Humans Prognosis
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SafeRPlan: Safe deep reinforcement learning for intraoperative planning of pedicle screw placement.

Medical image analysis Sep 16, 2024
Spinal fusion surgery requires highly accurate implantation of pedicle screw implants, which must be conducted in critical proximity to vital structures with a limited view of the anatomy. Robotic surgery systems have been proposed to improve placeme...
Robotic Surgical Procedures Spinal Fusion Surgery, Computer-Assisted Pedicle Screws Humans Tomography, X-Ray Computed Deep Learning
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A retrospective study differentiating nontuberculous mycobacterial pulmonary disease from pulmonary tuberculosis on computed tomography using radiomics and machine learning algorithms.

Annals of medicine Sep 16, 2024
OBJECTIVE: To evaluate the effectiveness of a machine learning based on computed tomography (CT) radiomics to distinguish nontuberculous mycobacterial pulmonary disease (NTM-PD) from pulmonary tuberculosis (PTB).
Aged Adult Radiomics Retrospective Studies Tomography, X-Ray Computed Female Male Machine Learning Support Vector Machine Middle Aged Humans Tuberculosis, Pulmonary Algorithms Diagnosis, Differential ROC Curve Mycobacterium Infections, Nontuberculous
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An enhanced Garter Snake Optimization-assisted deep learning model for lung cancer segmentation and classification using CT images.

Journal of medical engineering & technology Sep 16, 2024
An early detection of lung tumors is critical for better treatment results, and CT scans can reveal lumps in the lungs which are too small to be picked up by conventional X-rays. CT imaging has advantages, but it also exposes a person to radiation fr...
Deep Learning Humans Algorithms Image Processing, Computer-Assisted Tomography, X-Ray Computed Lung Neoplasms
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