Patient characteristics and disease spectrum in a German vascular anomalies center
CONCLUSION: Patients suffering from vascular anomalies often go through a complicated scheduling with numerous outpatient appointments and have a high risk of misdiagnosis and mistreatment prolonging the medical condition. Therefore, patients with vascular anomalies should be treated in a dedicated vascular anomaly center.PMID:37743550 | DOI:10.1177/02841851231196872 (Source: Acta Radiologica)
Source: Acta Radiologica - September 25, 2023 Category: Radiology Authors: Felix Str übing Annette Laurich Christel Weiss Ulrich Kneser Stefan Schoenberg Maliha Sadick Source Type: research
Reduced radiation dose and volume of contrast medium in heart rate-based, one-stop computed tomography angiography of coronary, carotid and cerebrovascular arteries
CONCLUSION: The radiation dose and volume of CM were significantly reduced in CTA following the HR-based protocol. The personalized administration of CM also simplified the scanning process.PMID:37743551 | DOI:10.1177/02841851231193258 (Source: Acta Radiologica)
Source: Acta Radiologica - September 25, 2023 Category: Radiology Authors: Hairong Yu Hao Song Xiaonan Sun Tiangang Song Anming Xie Jianghua Xu Ruiying Qin Lihua Jing Taiyang Zuo Jie Zhao Xiaomei Luan Zengkun Wang Huijing Chai Yuanzhen Zhao Peiji Song Source Type: research
The diagnosis performance of convolutional neural network in the detection of pulmonary nodules: a systematic review and meta-analysis
CONCLUSION: The CNN model can be a valuable diagnostic tool with high accuracy in detecting pulmonary nodules.PMID:37743663 | DOI:10.1177/02841851231201514 (Source: Acta Radiologica)
Source: Acta Radiologica - September 25, 2023 Category: Radiology Authors: Xinyue Zhang Bo Liu Kefu Liu Lina Wang Source Type: research
A prospective study comparing the quality of coronary computed tomography angiography images from photon counting and energy integrating detector systems
CONCLUSION: Both CT systems exhibited high CCTA image quality. The sharpness of calcifications was rated significantly higher for PCD-CT. A good correlation was observed between the AS derived from the two systems.PMID:37735891 | DOI:10.1177/02841851231199384 (Source: Acta Radiologica)
Source: Acta Radiologica - September 22, 2023 Category: Radiology Authors: Susann Skoog Michael Sandborg Lilian Henriksson M årten Sandstedt H åkan Gustafsson Anders Persson Source Type: research
Machine learning models based on multi-parameter MRI radiomics for prediction of molecular glioblastoma: a new study based on the 2021 World Health Organization classification
CONCLUSION: Machine learning models can predict mGBM non-invasively, which may help to develop personalized treatment strategies for neurosurgeons and provide an effective tool for accurate stratification in clinical trials.PMID:37735892 | DOI:10.1177/02841851231199744 (Source: Acta Radiologica)
Source: Acta Radiologica - September 22, 2023 Category: Radiology Authors: Xin Kong Yu Mao Yuqi Luo Fengjun Xi Yan Li Jun Ma Source Type: research
A prospective study comparing the quality of coronary computed tomography angiography images from photon counting and energy integrating detector systems
CONCLUSION: Both CT systems exhibited high CCTA image quality. The sharpness of calcifications was rated significantly higher for PCD-CT. A good correlation was observed between the AS derived from the two systems.PMID:37735891 | DOI:10.1177/02841851231199384 (Source: Acta Radiologica)
Source: Acta Radiologica - September 22, 2023 Category: Radiology Authors: Susann Skoog Michael Sandborg Lilian Henriksson M årten Sandstedt H åkan Gustafsson Anders Persson Source Type: research
Machine learning models based on multi-parameter MRI radiomics for prediction of molecular glioblastoma: a new study based on the 2021 World Health Organization classification
CONCLUSION: Machine learning models can predict mGBM non-invasively, which may help to develop personalized treatment strategies for neurosurgeons and provide an effective tool for accurate stratification in clinical trials.PMID:37735892 | DOI:10.1177/02841851231199744 (Source: Acta Radiologica)
Source: Acta Radiologica - September 22, 2023 Category: Radiology Authors: Xin Kong Yu Mao Yuqi Luo Fengjun Xi Yan Li Jun Ma Source Type: research
A prospective study comparing the quality of coronary computed tomography angiography images from photon counting and energy integrating detector systems
CONCLUSION: Both CT systems exhibited high CCTA image quality. The sharpness of calcifications was rated significantly higher for PCD-CT. A good correlation was observed between the AS derived from the two systems.PMID:37735891 | DOI:10.1177/02841851231199384 (Source: Acta Radiologica)
Source: Acta Radiologica - September 22, 2023 Category: Radiology Authors: Susann Skoog Michael Sandborg Lilian Henriksson M årten Sandstedt H åkan Gustafsson Anders Persson Source Type: research
Machine learning models based on multi-parameter MRI radiomics for prediction of molecular glioblastoma: a new study based on the 2021 World Health Organization classification
CONCLUSION: Machine learning models can predict mGBM non-invasively, which may help to develop personalized treatment strategies for neurosurgeons and provide an effective tool for accurate stratification in clinical trials.PMID:37735892 | DOI:10.1177/02841851231199744 (Source: Acta Radiologica)
Source: Acta Radiologica - September 22, 2023 Category: Radiology Authors: Xin Kong Yu Mao Yuqi Luo Fengjun Xi Yan Li Jun Ma Source Type: research
Diagnostic performance of two versions of an artificial intelligence system in interval breast cancer detection
CONCLUSION: The present study showed that Tranpara v1.7 has a higher specificity, sensitivity and diagnostic performance in IBC determination than v1.6. AI systems can be used in breast screening as a secondary or third reader in screening programs.PMID:37722761 | DOI:10.1177/02841851231200785 (Source: Acta Radiologica)
Source: Acta Radiologica - September 18, 2023 Category: Radiology Authors: Levent Çelik Davut Can G üner Ömer Özçağlayan Rahmi Çubuk Mustafa Erkin Ar ıbal Source Type: research
Bone marrow edema at ligament insertion is an accurate MRI sign of deltoid ligament injury
CONCLUSION: BMELI can reliably indicate concomitant injury to the DL in CAI patients. Using BMELI as a sign of chronic DL injury when ALMC is unclear may reduce the risk of a false negative diagnosis.PMID:37722764 | DOI:10.1177/02841851231197508 (Source: Acta Radiologica)
Source: Acta Radiologica - September 18, 2023 Category: Radiology Authors: Jiahui Tong Hong Li Hongyun Li Yinghui Hua Source Type: research
Amide proton transfer-weighted imaging of pediatric brainstem glioma and its predicted value for H3 K27 alteration
CONCLUSION: APTw imaging may serve as an imaging biomarker for H3 K27 alteration of pedBSGs.PMID:37722801 | DOI:10.1177/02841851231197503 (Source: Acta Radiologica)
Source: Acta Radiologica - September 18, 2023 Category: Radiology Authors: Dan Cheng Zhizheng Zhuo Peng Zhang Liying Qu Yunyun Duan Xiaolu Xu Cong Xie Xing Liu Sven Haller Frederik Barkhof Liwei Zhang Yaou Liu Source Type: research
Reliability of tomographic 3D ultrasound in measuring internal carotid artery plaque volume
CONCLUSION: t3DUS is a reproducible imaging method and showed excellent agreement with the reference standard with respect to measuring CPV. These findings suggest that t3DUS has the potential to be a valuable non-invasive tool for assessing carotid plaque burden and predicting the risk of stroke.PMID:37722861 | DOI:10.1177/02841851231199222 (Source: Acta Radiologica)
Source: Acta Radiologica - September 18, 2023 Category: Radiology Authors: Adel Alzahrani Salahaden R Sultan Mohammed Aslam Source Type: research
Diagnostic performance of two versions of an artificial intelligence system in interval breast cancer detection
CONCLUSION: The present study showed that Tranpara v1.7 has a higher specificity, sensitivity and diagnostic performance in IBC determination than v1.6. AI systems can be used in breast screening as a secondary or third reader in screening programs.PMID:37722761 | DOI:10.1177/02841851231200785 (Source: Acta Radiologica)
Source: Acta Radiologica - September 18, 2023 Category: Radiology Authors: Levent Çelik Davut Can G üner Ömer Özçağlayan Rahmi Çubuk Mustafa Erkin Ar ıbal Source Type: research
Bone marrow edema at ligament insertion is an accurate MRI sign of deltoid ligament injury
CONCLUSION: BMELI can reliably indicate concomitant injury to the DL in CAI patients. Using BMELI as a sign of chronic DL injury when ALMC is unclear may reduce the risk of a false negative diagnosis.PMID:37722764 | DOI:10.1177/02841851231197508 (Source: Acta Radiologica)
Source: Acta Radiologica - September 18, 2023 Category: Radiology Authors: Jiahui Tong Hong Li Hongyun Li Yinghui Hua Source Type: research