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Total 66499 results found since Jan 2013.
Clinical improvement in early onset interstitial lung disease using rituximab in children with anti-MDA5 positive juvenile dermatomyositis
CONCLUSION: This is the first study to examine the use of RTX in children with JDM and anti-MDA5 antibodies, with notable improvements ILD, cutaneous and musculoskeletal manifestations. Further studies are needed to better understand the efficacy of RTX on JDM disease related complications.PMID:37714547 | DOI:10.3899/jrheum.2023-0544
Source: J Rheumatol - September 15, 2023 Category: Rheumatology Authors: Malki Peskin Marilyn Mostowy Jennifer Velez Megan Perron Jessica Kurian Dawn M Wahezi Source Type: research
Guillain-Barr é syndrome in patients dying with COVID-19 in Italy: a retrospective study
CONCLUSIONS: Although the mechanism of GBS onset is still unclear in COVID-19, fatal cases may be more frequent than other virus-related GBS, so that strictly monitoring in high-risk patients could dramatically decrease the mortality of GBS.PMID:37712236 | DOI:10.4415/ANN_23_03_04
Source: Annali dell'Istituto Superiore di Sanita - September 15, 2023 Category: International Medicine & Public Health Authors: Elisa Colaizzo Maria Puopolo Dorina Tiple Luana Vaianella Nicola Vanacore Alberto Milanese Luigi Palmieri Cinzia Lo Noce Marco Canevelli Alessia Perna Graziano Onder Italian National Institute of Health COVID-19 Mortality Group Source Type: research
Fluoro-edenite non-neoplastic diseases in Biancavilla (Sicily, Italy): pleural plaques and/or pneumoconiosis?
CONCLUSIONS: Asbestosis-like features were substantiated in Biancavilla residents without known occupational exposure to asbestos. Further studies to estimate population respiratory health are required. Experimental studies on the fibrogenic potential of fluoro-edenite are needed.PMID:37712235 | DOI:10.4415/ANN_23_03_03
Source: Annali dell'Istituto Superiore di Sanita - September 15, 2023 Category: International Medicine & Public Health Authors: Caterina Bruno Rosario Di Stefano Vincenzo Ricceri Mauro La Rosa Achille Cernigliaro Paolo Ciranni Giuseppe Di Maria Daniele Mandrioli Amerigo Zona Pietro Comba Salvatore Scondotto Source Type: research
Necrotizing pneumonia due to Aspergillus and Salmonella after immune checkpoint inhibitor treatment: An unusual case and review of the literature
CONCLUSIONS: Awareness of unusual pathogens in the etiology of pneumonia after ICI treatment may help to avoid underdiagnosis.PMID:37714729 | DOI:10.1016/j.riam.2023.05.001
Source: Revista Iberoamericana de Micologia - September 15, 2023 Category: Biology Authors: Muhammed Cihan I şık O ğuz Karcıoğlu G ülşen Hazırolan Dolunay G ülmez Mehmet Ruhi Onur Mehmet Mahir Kunt Sevtap Arikan-Akdagli G ökhan Metan Source Type: research
Clinical improvement in early onset interstitial lung disease using rituximab in children with anti-MDA5 positive juvenile dermatomyositis
CONCLUSION: This is the first study to examine the use of RTX in children with JDM and anti-MDA5 antibodies, with notable improvements ILD, cutaneous and musculoskeletal manifestations. Further studies are needed to better understand the efficacy of RTX on JDM disease related complications.PMID:37714547 | DOI:10.3899/jrheum.2023-0544
Source: J Rheumatol - September 15, 2023 Category: Rheumatology Authors: Malki Peskin Marilyn Mostowy Jennifer Velez Megan Perron Jessica Kurian Dawn M Wahezi Source Type: research
TransQA: deep hybrid transformer network for measurement-guided volumetric dose prediction of pre-treatment patient-specific quality assurance
Phys Med Biol. 2023 Sep 15. doi: 10.1088/1361-6560/acfa5e. Online ahead of print.ABSTRACTOBJECTIVE: Performing pre-treatment patient-specific quality assurance (prePSQA) is considered an essential, time-consuming, and resource-intensive task for volumetric modulated arc radiotherapy (VMAT) which confirms the dose accuracy and ensure patient safety. Most current machine learning and deep learning approaches stack excessive convolutional/pooling operations (CPs) to predict prePSQA with two-dimensional or one-dimensional information input. However, these models generally present limitations in explicitly modeling long-range d...
Source: Physics in Medicine and Biology - September 15, 2023 Category: Physics Authors: Lingpeng Zeng Minghui Zhang Yun Zhang Zhongsheng Zou Yu Guan Bin Huang Xiuwen Yu Shenggou Ding Qiegen Liu Changfei Gong Source Type: research
Analysis and prediction of liver volume change maps derived from computational tomography scans acquired pre- and post-radiation therapy
This study leverages the use of deep learning-based segmentation and biomechanical deformable image registration (DIR) to analyze and predict this relationship. Pre- and Post-EBRT imaging data were collected for 100 patients treated for HCC, CC or CRC with IMRT with prescription doses ranging from 50 to 100 Gy delivered in 10 to 28 fractions. For each patient, DIR between the portal and venous (PV) phase of a diagnostic CT scan acquired before RT planning, and a PV phase of a diagnostic CT scan acquired after the end of RT (on average 147±36 days) was performed to calculate Jacobian maps representing volume changes in the...
Source: Physics in Medicine and Biology - September 15, 2023 Category: Physics Authors: Guillaume Cazoulat Aashish C Gupta Mais M Al Taie Eugene J Koay Kristy K Brock Source Type: research
Ring artifacts correction for computed tomography image using unsupervised contrastive learning
Phys Med Biol. 2023 Sep 15. doi: 10.1088/1361-6560/acfa60. Online ahead of print.ABSTRACTComputed tomography (CT) is a widely employed imaging technology for disease detection. However, CT images often suffer from ring artifacts, which may result from hardware defects and other factors. These artifacts compromise image quality and impede diagnosis. To address this challenge, we propose a novel method based on dual contrast learning image style transformation network model (DCLGAN) that effectively eliminates ring artifacts from CT images while preserving texture details. 
Approach: Our method involves simulating ri...
Source: Physics in Medicine and Biology - September 15, 2023 Category: Physics Authors: Tangsheng Wang Xuan Liu Chulong Zhang Yutong He Yinping Chan Yaoqin Xie Xiaokun Liang Source Type: research
Investigation of uncertainty in internal target volume definition for lung stereotactic body radiotherapy
This study evaluated the validity of internal target volumes (ITVs) defined by three- (3DCT) and four-dimensional computed tomography (4DCT), and subsequently compared them with actual movements during treatment. Five patients with upper lobe lung tumors were treated with stereotactic body radiotherapy (SBRT) at 48 Gy in four fractions. Planning 3DCT images were acquired with peak-exhale and peak-inhale breath-holds, and 4DCT images were acquired in the cine mode under free breathing. Cine images were acquired using an electronic portal imaging device during irradiation. Tumor coverage was evaluated based on the manner in ...
Source: Health Physics - September 15, 2023 Category: Physics Authors: Daiki Nakanishi Masataka Oita Jun-Ichi Fukunaga Taka-Aki Hirose Tadamasa Yoshitake Motoharu Sasaki Source Type: research
TransQA: deep hybrid transformer network for measurement-guided volumetric dose prediction of pre-treatment patient-specific quality assurance
Phys Med Biol. 2023 Sep 15. doi: 10.1088/1361-6560/acfa5e. Online ahead of print.ABSTRACTOBJECTIVE: Performing pre-treatment patient-specific quality assurance (prePSQA) is considered an essential, time-consuming, and resource-intensive task for volumetric modulated arc radiotherapy (VMAT) which confirms the dose accuracy and ensure patient safety. Most current machine learning and deep learning approaches stack excessive convolutional/pooling operations (CPs) to predict prePSQA with two-dimensional or one-dimensional information input. However, these models generally present limitations in explicitly modeling long-range d...
Source: Physics in Medicine and Biology - September 15, 2023 Category: Physics Authors: Lingpeng Zeng Minghui Zhang Yun Zhang Zhongsheng Zou Yu Guan Bin Huang Xiuwen Yu Shenggou Ding Qiegen Liu Changfei Gong Source Type: research
Analysis and prediction of liver volume change maps derived from computational tomography scans acquired pre- and post-radiation therapy
This study leverages the use of deep learning-based segmentation and biomechanical deformable image registration (DIR) to analyze and predict this relationship. Pre- and Post-EBRT imaging data were collected for 100 patients treated for HCC, CC or CRC with IMRT with prescription doses ranging from 50 to 100 Gy delivered in 10 to 28 fractions. For each patient, DIR between the portal and venous (PV) phase of a diagnostic CT scan acquired before RT planning, and a PV phase of a diagnostic CT scan acquired after the end of RT (on average 147±36 days) was performed to calculate Jacobian maps representing volume changes in the...
Source: Physics in Medicine and Biology - September 15, 2023 Category: Physics Authors: Guillaume Cazoulat Aashish C Gupta Mais M Al Taie Eugene J Koay Kristy K Brock Source Type: research
Ring artifacts correction for computed tomography image using unsupervised contrastive learning
Phys Med Biol. 2023 Sep 15. doi: 10.1088/1361-6560/acfa60. Online ahead of print.ABSTRACTComputed tomography (CT) is a widely employed imaging technology for disease detection. However, CT images often suffer from ring artifacts, which may result from hardware defects and other factors. These artifacts compromise image quality and impede diagnosis. To address this challenge, we propose a novel method based on dual contrast learning image style transformation network model (DCLGAN) that effectively eliminates ring artifacts from CT images while preserving texture details. 
Approach: Our method involves simulating ri...
Source: Physics in Medicine and Biology - September 15, 2023 Category: Physics Authors: Tangsheng Wang Xuan Liu Chulong Zhang Yutong He Yinping Chan Yaoqin Xie Xiaokun Liang Source Type: research
Guillain-Barr é syndrome in patients dying with COVID-19 in Italy: a retrospective study
CONCLUSIONS: Although the mechanism of GBS onset is still unclear in COVID-19, fatal cases may be more frequent than other virus-related GBS, so that strictly monitoring in high-risk patients could dramatically decrease the mortality of GBS.PMID:37712236 | DOI:10.4415/ANN_23_03_04
Source: Ann Ist Super Sanita - September 15, 2023 Category: Biomedical Science Authors: Elisa Colaizzo Maria Puopolo Dorina Tiple Luana Vaianella Nicola Vanacore Alberto Milanese Luigi Palmieri Cinzia Lo Noce Marco Canevelli Alessia Perna Graziano Onder Italian National Institute of Health COVID-19 Mortality Group Source Type: research
Fluoro-edenite non-neoplastic diseases in Biancavilla (Sicily, Italy): pleural plaques and/or pneumoconiosis?
CONCLUSIONS: Asbestosis-like features were substantiated in Biancavilla residents without known occupational exposure to asbestos. Further studies to estimate population respiratory health are required. Experimental studies on the fibrogenic potential of fluoro-edenite are needed.PMID:37712235 | DOI:10.4415/ANN_23_03_03
Source: Ann Ist Super Sanita - September 15, 2023 Category: Biomedical Science Authors: Caterina Bruno Rosario Di Stefano Vincenzo Ricceri Mauro La Rosa Achille Cernigliaro Paolo Ciranni Giuseppe Di Maria Daniele Mandrioli Amerigo Zona Pietro Comba Salvatore Scondotto Source Type: research
