Predicting patient-specific organ doses from thoracic CT examinations using support vector regression algorithm
CONCLUSIONS: By combined utilization of the SVR algorithm and thoracic radiomics features, patient-specific thoracic organ doses could be predicted accurately, fast, and robustly in one second even using one single CPU core.PMID:38607729 | DOI:10.3233/XST-240015 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - April 12, 2024 Category: Radiology Authors: Wencheng Shao Xin Lin Ying Huang Liangyong Qu Zhuo Weihai Haikuan Liu Source Type: research
A user-friendly deep learning application for accurate lung cancer diagnosis
CONCLUSIONS: The model provided means for storing and updating patients' data directly on the interface which allowed the results to be readily available for the health care providers. The developed system will improve clinical communication and information exchange. Moreover, it can manage efforts by generating correlated and coherent summaries of cancer diagnoses.PMID:38607727 | DOI:10.3233/XST-230255 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - April 12, 2024 Category: Radiology Authors: Duong Thanh Tai Nguyen Tan Nhu Pham Anh Tuan Abdelmoneim Suleiman Hiba Omer Zahra Alirezaei David Bradley James C L Chow Source Type: research
DDA-SSNets: Dual decoder attention-based semantic segmentation networks for COVID-19 infection segmentation and classification using chest X-Ray images
CONCLUSIONS: The results show that the proposed DDA-SegNet has superior performance in the segmentation of lung lobes and COVID-19-infected regions in CXRs, along with improved severity grading compared to the DDA-UNet and improved accuracy of the GADCNet classifier in classifying the CXRs into COVID-19, and non-COVID-19.PMID:38607728 | DOI:10.3233/XST-230421 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - April 12, 2024 Category: Radiology Authors: Anandbabu Gopatoti Ramya Jayakumar Poornaiah Billa Vijayalakshmi Patteeswaran Source Type: research
Predicting patient-specific organ doses from thoracic CT examinations using support vector regression algorithm
CONCLUSIONS: By combined utilization of the SVR algorithm and thoracic radiomics features, patient-specific thoracic organ doses could be predicted accurately, fast, and robustly in one second even using one single CPU core.PMID:38607729 | DOI:10.3233/XST-240015 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - April 12, 2024 Category: Radiology Authors: Wencheng Shao Xin Lin Ying Huang Liangyong Qu Zhuo Weihai Haikuan Liu Source Type: research
Physiolysis with Resection of Vickers' Ligament in Adolescent Patients with Madelung's Deformity
CONCLUSION: In our cohort, the progression of Madelung's deformity was only partially halted by physiolysis with resection of the Vickers ligament, and a significant increase in pain symptoms during the study period could not be avoided. Therefore, this procedure should be used cautiously in skeletally immature patients.PMID:38608669 | DOI:10.1055/a-2262-0112 (Source: Handchirurgie Mikrochirurgie Plastische Chirurgie)
Source: Handchirurgie Mikrochirurgie Plastische Chirurgie - April 12, 2024 Category: Cosmetic Surgery Authors: Alexander Reck Thomas Pillukat J örg van Schoonhoven Source Type: research
Predicting patient-specific organ doses from thoracic CT examinations using support vector regression algorithm
CONCLUSIONS: By combined utilization of the SVR algorithm and thoracic radiomics features, patient-specific thoracic organ doses could be predicted accurately, fast, and robustly in one second even using one single CPU core.PMID:38607729 | DOI:10.3233/XST-240015 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - April 12, 2024 Category: Radiology Authors: Wencheng Shao Xin Lin Ying Huang Liangyong Qu Zhuo Weihai Haikuan Liu Source Type: research
Comparing Single Tooth Implant Placement With and Without Allogenic Soft Tissue Augmentation. A Randomized Clinical Trial
CONCLUSIONS: The augmentation of alveolar mucosa on the buccal aspect of single tooth implants is associated with clinically favorable outcomes. A fully digital workflow has been validated to permit crown delivery on CAD/CAM abutments without implant impressions.PMID:38607353 | DOI:10.11607/jomi.10690 (Source: International Journal of Oral and Maxillofacial Implants)
Source: International Journal of Oral and Maxillofacial Implants - April 12, 2024 Category: ENT & OMF Authors: Sandra K Al-Tarawneh Ghadeer Thalji Mariana Fernandez Lozada Dalia Waia Lyndon F Cooper Source Type: research
Radiological evaluation before and after treatment with an osseointegrated bone-anchor following major limb amputation —a guide for radiologists
This article acts as a guide for radiologists who may be tasked with providing the radiological information required by surgeons and prosthetists. We also look at the radiological appearances of complications that may arise in patients treated with an osseointegrated implant. Plain X-rays are used to screen patients who wish to undergo treatment. Limb-length X-rays are then used to measure the length of any residual bone, and comparisons can be made with the normal side (if present). From this, decisions about the likely size of the implant and the need for further amputation can be made. CT scans enable accurate assessmen...
Source: European Journal of Applied Physiology - April 11, 2024 Category: Physiology Source Type: research
A lung disease diagnosis algorithm based on 2D spectral features of ultrasound RF signals
In this study, we proposed an objective and quantifiable algorithm for the diagnosis of lung diseases that utilizes two-dimensional (2D) spectral features of ultrasound radiofrequency (RF) signals. The ultrasound data samples consisted of a set of RF signal frames, which were collected by professional sonographers. In each case, a region of interest of uniform size was delineated along the pleural line. The standard deviation curve of the 2D spatial spectrum was calculated and smoothed. A linear fit was applied to the high-frequency segment of the processed data curve, and the slope of the fitted line was defined as the fr...
Source: Ultrasonics - April 11, 2024 Category: Physics Authors: Qi Zhang Renjie Song Jing Hang Siqi Wei Yifei Zhu Guofeng Zhang Bo Ding Xinhua Ye Xiasheng Guo Dong Zhang Pingping Wu Han Lin Juan Tu Source Type: research
A lung disease diagnosis algorithm based on 2D spectral features of ultrasound RF signals
In this study, we proposed an objective and quantifiable algorithm for the diagnosis of lung diseases that utilizes two-dimensional (2D) spectral features of ultrasound radiofrequency (RF) signals. The ultrasound data samples consisted of a set of RF signal frames, which were collected by professional sonographers. In each case, a region of interest of uniform size was delineated along the pleural line. The standard deviation curve of the 2D spatial spectrum was calculated and smoothed. A linear fit was applied to the high-frequency segment of the processed data curve, and the slope of the fitted line was defined as the fr...
Source: Ultrasonics - April 11, 2024 Category: Physics Authors: Qi Zhang Renjie Song Jing Hang Siqi Wei Yifei Zhu Guofeng Zhang Bo Ding Xinhua Ye Xiasheng Guo Dong Zhang Pingping Wu Han Lin Juan Tu Source Type: research
A lung disease diagnosis algorithm based on 2D spectral features of ultrasound RF signals
In this study, we proposed an objective and quantifiable algorithm for the diagnosis of lung diseases that utilizes two-dimensional (2D) spectral features of ultrasound radiofrequency (RF) signals. The ultrasound data samples consisted of a set of RF signal frames, which were collected by professional sonographers. In each case, a region of interest of uniform size was delineated along the pleural line. The standard deviation curve of the 2D spatial spectrum was calculated and smoothed. A linear fit was applied to the high-frequency segment of the processed data curve, and the slope of the fitted line was defined as the fr...
Source: Ultrasonics - April 11, 2024 Category: Physics Authors: Qi Zhang Renjie Song Jing Hang Siqi Wei Yifei Zhu Guofeng Zhang Bo Ding Xinhua Ye Xiasheng Guo Dong Zhang Pingping Wu Han Lin Juan Tu Source Type: research
Deep Learning for Predicting Progression of Patellofemoral Osteoarthritis Based on Lateral Knee Radiographs, Demographic Data and Symptomatic Assessments
CONCLUSION: This study demonstrated the potential of machine learning models to predict the progression of PFOA using imaging and clinical variables. These models could be used to identify patients who are at high risk of progression and prioritize them for new treatments. However, even though the accuracy of the models were excellent in this study using the MOST dataset, they should be still validated using external patient cohorts in the future.PMID:38604249 | DOI:10.1055/a-2305-2115 (Source: Methods of Information in Medicine)
Source: Methods of Information in Medicine - April 11, 2024 Category: Information Technology Authors: Neslihan Bayramoglu Martin Englund Ida K Haugen Muneaki Ishijima Simo Saarakkala Source Type: research
Deep Learning for Predicting Progression of Patellofemoral Osteoarthritis Based on Lateral Knee Radiographs, Demographic Data and Symptomatic Assessments
CONCLUSION: This study demonstrated the potential of machine learning models to predict the progression of PFOA using imaging and clinical variables. These models could be used to identify patients who are at high risk of progression and prioritize them for new treatments. However, even though the accuracy of the models were excellent in this study using the MOST dataset, they should be still validated using external patient cohorts in the future.PMID:38604249 | DOI:10.1055/a-2305-2115 (Source: Methods of Information in Medicine)
Source: Methods of Information in Medicine - April 11, 2024 Category: Information Technology Authors: Neslihan Bayramoglu Martin Englund Ida K Haugen Muneaki Ishijima Simo Saarakkala Source Type: research
Tuning spatially fractionated radiotherapy dose profiles using the moir é effect
Sci Rep. 2024 Apr 11;14(1):8468. doi: 10.1038/s41598-024-55104-7.ABSTRACTSpatially Fractionated Radiotherapy (SFRT) has demonstrated promising potential in cancer treatment, combining the advantages of reduced post-radiation effects and enhanced local control rates. Within this paradigm, proton minibeam radiotherapy (pMBRT) was suggested as a new treatment modality, possibly producing superior normal tissue sparing to conventional proton therapy, leading to improvements in patient outcomes. However, an effective and convenient beam generation method for pMBRT, capable of implementing various optimum dose profiles, is essen...
Source: Cancer Control - April 11, 2024 Category: Cancer & Oncology Authors: Fardous Reaz Erik Traneus Niels Bassler Source Type: research
