journal
https://read.qxmd.com/read/38486185/hybrid-transformer-convolutional-neural-network-based-radiomics-models-for-osteoporosis-screening-in-routine-ct
#1
JOURNAL ARTICLE
Jiachen Liu, Huan Wang, Xiuqi Shan, Lei Zhang, Shaoqian Cui, Zelin Shi, Yunpeng Liu, Yingdi Zhang, Lanbo Wang
OBJECTIVE: Early diagnosis of osteoporosis is crucial to prevent osteoporotic vertebral fracture and complications of spine surgery. We aimed to conduct a hybrid transformer convolutional neural network (HTCNN)-based radiomics model for osteoporosis screening in routine CT. METHODS: To investigate the HTCNN algorithm for vertebrae and trabecular segmentation, 92 training subjects and 45 test subjects were employed. Furthermore, we included 283 vertebral bodies and randomly divided them into the training cohort (n = 204) and test cohort (n = 79) for radiomics analysis...
March 14, 2024: BMC Medical Imaging
https://read.qxmd.com/read/38481130/improving-the-diagnosis-and-treatment-of-congenital-heart-disease-through-the-combination-of-three-dimensional-echocardiography-and-image-guided-surgery
#2
JOURNAL ARTICLE
Yong Jiang
OBJECTIVE: The paper aimed to improve the accuracy limitations of traditional two-dimensional ultrasound and surgical procedures in the diagnosis and management of congenital heart disease (chd), and to improve the diagnostic and therapeutic level of chd. METHOD: This article first collected patient data through real-time imaging and body surface probes, and then diagnosed 150 patients using three-dimensional echocardiography. In order to verify the effectiveness of the combination therapy, 60 confirmed patients were divided into a control group and an experimental group...
March 13, 2024: BMC Medical Imaging
https://read.qxmd.com/read/38468226/a-noninvasive-method-for-predicting-clinically-significant-prostate-cancer-using-magnetic-resonance-imaging-combined-with-prky-promoter-methylation-level-a-machine-learning-study
#3
JOURNAL ARTICLE
Yufei Wang, Weifeng Liu, Zeyu Chen, Yachen Zang, Lijun Xu, Zheng Dai, Yibin Zhou, Jin Zhu
BACKGROUND: Traditional process for clinically significant prostate cancer (csPCA) diagnosis relies on invasive biopsy and may bring pain and complications. Radiomic features of magnetic resonance imaging MRI and methylation of the PRKY promoter were found to be associated with prostate cancer. METHODS: Fifty-four Patients who underwent prostate biopsy or photoselective vaporization of the prostate (PVP) from 2022 to 2023 were selected for this study, and their clinical data, blood samples and MRI images were obtained before the operation...
March 11, 2024: BMC Medical Imaging
https://read.qxmd.com/read/38459518/artificial-intelligence-in-tongue-diagnosis-classification-of-tongue-lesions-and-normal-tongue-images-using-deep-convolutional-neural-network
#4
JOURNAL ARTICLE
Burcu Tiryaki, Kubra Torenek-Agirman, Ozkan Miloglu, Berfin Korkmaz, İbrahim Yucel Ozbek, Emin Argun Oral
OBJECTIVE: This study aims to classify tongue lesion types using tongue images utilizing Deep Convolutional Neural Networks (DCNNs). METHODS: A dataset consisting of five classes, four tongue lesion classes (coated, geographical, fissured tongue, and median rhomboid glossitis), and one healthy/normal tongue class, was constructed using tongue images of 623 patients who were admitted to our clinic. Classification performance was evaluated on VGG19, ResNet50, ResNet101, and GoogLeNet networks using fusion based majority voting (FBMV) approach for the first time in the literature...
March 8, 2024: BMC Medical Imaging
https://read.qxmd.com/read/38443840/development-of-a-prediction-model-for-facilitating-the-clinical-application-of-transcranial-color-coded-duplex-ultrasonography
#5
JOURNAL ARTICLE
Jieyu Duan, Pengfei Wang, Haoyu Wang, Wei Zhao
BACKGROUND: Transcranial color-coded duplex ultrasonography (TCCD) is an important diagnostic tool in the investigation of cerebrovascular diseases. TCCD is often hampered by the temporal window that ultrasound cannot penetrate. Rapidly determine whether ultrasound can penetrate the temporal window in order to determine whether to use other acoustic windows to complete the examination process. In this study, Skull thickness can be measured simultaneously during TCCD examination, which makes it possible to use skull thickness to rapidly determine whether the temporal window is penetrated by ultrasound...
March 5, 2024: BMC Medical Imaging
https://read.qxmd.com/read/38443826/evaluating-the-consistency-in-different-methods-for-measuring-left-atrium-diameters
#6
JOURNAL ARTICLE
Jun-Yan Yue, Kai Ji, Hai-Peng Liu, Qing-Wu Wu, Chang-Hua Liang, Jian-Bo Gao
BACKGROUND: The morphological information of the pulmonary vein (PV) and left atrium (LA) is of immense clinical importance for effective atrial fibrillation ablation. The aim of this study is to examine the consistency in different LA diameter measurement techniques. METHODS: Retrospective imaging data from 87 patients diagnosed with PV computed tomography angiography were included. The patients consisted of 50 males and 37 females, with an average age of (60.74 ± 8...
March 5, 2024: BMC Medical Imaging
https://read.qxmd.com/read/38443817/deep-learning-based-automatic-segmentation-of-meningioma-from-t1-weighted-contrast-enhanced-mri-for-preoperative-meningioma-differentiation-using-radiomic-features
#7
JOURNAL ARTICLE
Liping Yang, Tianzuo Wang, Jinling Zhang, Shi Kang, Shichuan Xu, Kezheng Wang
BACKGROUND: This study aimed to establish a dedicated deep-learning model (DLM) on routine magnetic resonance imaging (MRI) data to investigate DLM performance in automated detection and segmentation of meningiomas in comparison to manual segmentations. Another purpose of our work was to develop a radiomics model based on the radiomics features extracted from automatic segmentation to differentiate low- and high-grade meningiomas before surgery. MATERIALS: A total of 326 patients with pathologically confirmed meningiomas were enrolled...
March 5, 2024: BMC Medical Imaging
https://read.qxmd.com/read/38443786/a-rapid-multi-parametric-quantitative-mr-imaging-method-to-assess-parkinson-s-disease-a-feasibility-study
#8
JOURNAL ARTICLE
Min Duan, Rongrong Pan, Qing Gao, Xinying Wu, Hai Lin, Jianmin Yuan, Yamei Zhang, Lindong Liu, Youyong Tian, Tong Fu
BACKGROUND: MULTIPLEX is a single-scan three-dimensional multi-parametric MRI technique that provides 1 mm isotropic T1-, T2*-, proton density- and susceptibility-weighted images and the corresponding quantitative maps. This study aimed to investigate its feasibility of clinical application in Parkinson's disease (PD). METHODS: 27 PD patients and 23 healthy control (HC) were recruited and underwent a MULTIPLEX scanning. All image reconstruction and processing were automatically performed with in-house C + + programs on the Automatic Differentiation using Expression Template platform...
March 5, 2024: BMC Medical Imaging
https://read.qxmd.com/read/38438844/transfer-learning-based-pet-ct-three-dimensional-convolutional-neural-network-fusion-of-image-and-clinical-information-for-prediction-of-egfr-mutation-in-lung-adenocarcinoma
#9
JOURNAL ARTICLE
Xiaonan Shao, Xinyu Ge, Jianxiong Gao, Rong Niu, Yunmei Shi, Xiaoliang Shao, Zhenxing Jiang, Renyuan Li, Yuetao Wang
BACKGROUND: To introduce a three-dimensional convolutional neural network (3D CNN) leveraging transfer learning for fusing PET/CT images and clinical data to predict EGFR mutation status in lung adenocarcinoma (LADC). METHODS: Retrospective data from 516 LADC patients, encompassing preoperative PET/CT images, clinical information, and EGFR mutation status, were divided into training (n = 404) and test sets (n = 112). Several deep learning models were developed utilizing transfer learning, involving CT-only and PET-only models...
March 4, 2024: BMC Medical Imaging
https://read.qxmd.com/read/38429683/evaluation-of-post-dilatation-on-longitudinal-stent-deformation-and-postprocedural-stent-malapposition-in-the-left-main-artery-by-optical-coherence-tomography-oct-an-in-vitro-study
#10
JOURNAL ARTICLE
Qing He, Yuqi Fan, Zuojun Xu, Junfeng Zhang
BACKGROUND: The diameter of the ostial and proximal left main coronary artery can be greater than 5.0 mm. However, the diameters of the mostly available coronary drug-eluting stents (DESs) are ≤ 4.0 mm. Whether high-pressure dilatation can increase the diameter of stents from 4.0 to 5.0 mm and whether post-dilatation leads to longitudinal stent deformation (LSD) of 4.0-mm-diameter stents have rarely been studied. Therefore, this study aims to evaluate LSD and stent malapposition of six types of commercially available 4...
March 1, 2024: BMC Medical Imaging
https://read.qxmd.com/read/38429666/craniofacial-phenotyping-with-fetal-mri-a-feasibility-study-of-3d-visualisation-segmentation-surface-rendered-and-physical-models
#11
JOURNAL ARTICLE
Jacqueline Matthew, Alena Uus, Leah De Souza, Robert Wright, Abi Fukami-Gartner, Gema Priego, Carlo Saija, Maria Deprez, Alexia Egloff Collado, Jana Hutter, Lisa Story, Christina Malamateniou, Kawal Rhode, Jo Hajnal, Mary A Rutherford
This study explores the potential of 3D Slice-to-Volume Registration (SVR) motion-corrected fetal MRI for craniofacial assessment, traditionally used only for fetal brain analysis. In addition, we present the first description of an automated pipeline based on 3D Attention UNet trained for 3D fetal MRI craniofacial segmentation, followed by surface refinement. Results of 3D printing of selected models are also presented.Qualitative analysis of multiplanar volumes, based on the SVR output and surface segmentations outputs, were assessed with computer and printed models, using standardised protocols that we developed for evaluating image quality and visibility of diagnostic craniofacial features...
March 1, 2024: BMC Medical Imaging
https://read.qxmd.com/read/38418987/pulmonet-a-novel-deep-learning-based-pulmonary-diseases-detection-model
#12
JOURNAL ARTICLE
AbdulRahman Tosho Abdulahi, Roseline Oluwaseun Ogundokun, Ajiboye Raimot Adenike, Mohd Asif Shah, Yusuf Kola Ahmed
Pulmonary diseases are various pathological conditions that affect respiratory tissues and organs, making the exchange of gas challenging for animals inhaling and exhaling. It varies from gentle and self-limiting such as the common cold and catarrh, to life-threatening ones, such as viral pneumonia (VP), bacterial pneumonia (BP), and tuberculosis, as well as a severe acute respiratory syndrome, such as the coronavirus 2019 (COVID-19). The cost of diagnosis and treatment of pulmonary infections is on the high side, most especially in developing countries, and since radiography images (X-ray and computed tomography (CT) scan images) have proven beneficial in detecting various pulmonary infections, many machine learning (ML) models and image processing procedures have been utilized to identify these infections...
February 28, 2024: BMC Medical Imaging
https://read.qxmd.com/read/38413923/automated-machine-learning-for-the-identification-of-asymptomatic-covid-19-carriers-based-on-chest-ct-images
#13
JOURNAL ARTICLE
Minyue Yin, Chao Xu, Jinzhou Zhu, Yuhan Xue, Yijia Zhou, Yu He, Jiaxi Lin, Lu Liu, Jingwen Gao, Xiaolin Liu, Dan Shen, Cuiping Fu
BACKGROUND: Asymptomatic COVID-19 carriers with normal chest computed tomography (CT) scans have perpetuated the ongoing pandemic of this disease. This retrospective study aimed to use automated machine learning (AutoML) to develop a prediction model based on CT characteristics for the identification of asymptomatic carriers. METHODS: Asymptomatic carriers were from Yangzhou Third People's Hospital from August 1st, 2020, to March 31st, 2021, and the control group included a healthy population from a nonepizootic area with two negative RT‒PCR results within 48 h...
February 27, 2024: BMC Medical Imaging
https://read.qxmd.com/read/38395772/influence-of-spectral-shaping-and-tube-voltage-modulation-in-ultralow-dose-computed-tomography-of-the-abdomen
#14
JOURNAL ARTICLE
Philipp Feldle, Jan-Peter Grunz, Andreas Steven Kunz, Pauline Pannenbecker, Theresa Sophie Patzer, Svenja Pichlmeier, Stephanie Tina Sauer, Robin Hendel, Süleyman Ergün, Thorsten Alexander Bley, Henner Huflage
PURPOSE: Unenhanced abdominal CT constitutes the diagnostic standard of care in suspected urolithiasis. Aiming to identify potential for radiation dose reduction in this frequent imaging task, this experimental study compares the effect of spectral shaping and tube voltage modulation on image quality. METHODS: Using a third-generation dual-source CT, eight cadaveric specimens were scanned with varying tube voltage settings with and without tin filter application (Sn 150, Sn 100, 120, 100, and 80 kVp) at three dose levels (3 mGy: standard; 1 mGy: low; 0...
February 23, 2024: BMC Medical Imaging
https://read.qxmd.com/read/38373915/mtfn-multi-temporal-feature-fusing-network-with-co-attention-for-dce-mri-synthesis
#15
JOURNAL ARTICLE
Wei Li, Jiaye Liu, Shanshan Wang, Chaolu Feng
BACKGROUND: Dynamic Contrast Enhanced Magnetic Resonance Imaging (DCE-MRI) plays an important role in the diagnosis and treatment of breast cancer. However, obtaining complete eight temporal images of DCE-MRI requires a long scanning time, which causes patients' discomfort in the scanning process. Therefore, to reduce the time, the multi temporal feature fusing neural network with Co-attention (MTFN) is proposed to generate the eighth temporal images of DCE-MRI, which enables the acquisition of DCE-MRI images without scanning...
February 19, 2024: BMC Medical Imaging
https://read.qxmd.com/read/38373912/clinical-and-multiparametric-mri-features-for-differentiating-uterine-carcinosarcoma-from-endometrioid-adenocarcinoma
#16
JOURNAL ARTICLE
Xiaodan Chen, Qingyong Guo, Xiaorong Chen, Wanjing Zheng, Yaqing Kang, Dairong Cao
INTRODUCTION: The purpose of our study was to differentiate uterine carcinosarcoma (UCS) from endometrioid adenocarcinoma (EAC) by the multiparametric magnetic resonance imaging (MRI) features. METHODS: We retrospectively evaluated clinical and MRI findings in 17 patients with UCS and 34 patients with EAC proven by histologically. The following clinical and pathological features were evaluated: post- or pre-menopausal, clinical presentation, invasion depth, FIGO stage, lymphaticmetastasis...
February 19, 2024: BMC Medical Imaging
https://read.qxmd.com/read/38365645/how-to-identify-juxtaglomerular-cell-tumor-by-ultrasound-a-case-series-and-review-of-the-literature
#17
JOURNAL ARTICLE
Li Wang, Meiying Li, Siqi Jin, Yunshu Ouyang, Fenglan Wang, Ke Lv, Jianchu Li, Yuxin Jiang, He Liu, Qingli Zhu
PURPOSE: To study the value of ultrasound in the diagnosis of juxtaglomerular cell tumor (JGCT). METHODS: From January 2005 to July 2020, fifteen patients diagnosed as JGCT by surgical pathology in Peking Union Medical College Hospital were collected. All patients underwent preoperative ultrasound examination. The clinical, laboratory, ultrasound, computed tomography (CT), surgical, and pathological features of the patients were analyzed retrospectively. RESULTS: The 15 patients were 5 males and 10 females with a median age of 29 years (10∼72 years)...
February 16, 2024: BMC Medical Imaging
https://read.qxmd.com/read/38360550/ct-radiomics-based-model-for-predicting-tmb-and-immunotherapy-response-in-non-small-cell-lung-cancer
#18
JOURNAL ARTICLE
Jiexiao Wang, Jialiang Wang, Xiang Huang, Yanfei Zhou, Jian Qi, Xiaojun Sun, Jinfu Nie, Zongtao Hu, Shujie Wang, Bo Hong, Hongzhi Wang
BACKGROUND: Tumor mutational burden (TMB) is one of the most significant predictive biomarkers of immunotherapy efficacy in non-small cell lung cancer (NSCLC). Radiomics allows high-throughput extraction and analysis of advanced and quantitative medical imaging features. This study develops and validates a radiomic model for predicting TMB level and the response to immunotherapy based on CT features in NSCLC. METHOD: Pre-operative chest CT images of 127 patients with NSCLC were retrospectively studied...
February 15, 2024: BMC Medical Imaging
https://read.qxmd.com/read/38355484/development-of-a-multi-phase-ct-based-radiomics-model-to-differentiate-heterotopic-pancreas-from-gastrointestinal-stromal-tumor
#19
JOURNAL ARTICLE
Kui Sun, Shuxia Yu, Ying Wang, Rongze Jia, Rongchao Shi, Changhu Liang, Ximing Wang, Haiyan Wang
BACKGROUND: To investigate whether CT-based radiomics can effectively differentiate between heterotopic pancreas (HP) and gastrointestinal stromal tumor (GIST), and whether different resampling methods can affect the model's performance. METHODS: Multi-phase CT radiological data were retrospectively collected from 94 patients. Of these, 40 with HP and 54 with GISTs were enrolled between April 2017 and November 2021. One experienced radiologist manually delineated the volume of interest and then resampled the voxel size of the images to 0...
February 14, 2024: BMC Medical Imaging
https://read.qxmd.com/read/38350900/automated-assessment-of-cardiac-pathologies-on-cardiac-mri-using-t1-mapping-and-late-gadolinium-phase-sensitive-inversion-recovery-sequences-with-deep-learning
#20
JOURNAL ARTICLE
Aleksandra M Paciorek, Claudio E von Schacky, Sarah C Foreman, Felix G Gassert, Florian T Gassert, Jan S Kirschke, Karl-Ludwig Laugwitz, Tobias Geith, Martin Hadamitzky, Jonathan Nadjiri
BACKGROUND: A deep learning (DL) model that automatically detects cardiac pathologies on cardiac MRI may help streamline the diagnostic workflow. To develop a DL model to detect cardiac pathologies on cardiac MRI T1-mapping and late gadolinium phase sensitive inversion recovery (PSIR) sequences were used. METHODS: Subjects in this study were either diagnosed with cardiac pathology (n = 137) including acute and chronic myocardial infarction, myocarditis, dilated cardiomyopathy, and hypertrophic cardiomyopathy or classified as normal (n = 63)...
February 13, 2024: BMC Medical Imaging
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