Deep learning may produce sharp reductions in DBT dose
An artificial intelligence algorithm may enable breast imagers to sharply reduce...Read more on AuntMinnie.comRelated Reading: AI can help distinguish lung nodules on CT scans Special JACR issue focuses on imaging AI Can AI help in the fight against gadolinium deposition? Artificial intelligence guides lower PET tracer dose
Right ventricular failure (RVF) after LVAD implantation remains difficult to predict pre-operatively. As right heart failure is associated with muscle wasting, we hypothesized pectoralis muscle tissue attenuation quantified on pre-operative CT scans would enhance the prediction of RVF after LVAD implantation.
As skeletal muscle mass and quality decrease with heart failure progression, we hypothesized that pectoralis muscle mass and tissue attenuation measured on pre-left ventricular assist device (LVAD) CT scans would add meaningful heart failure severity stratification beyond INTERMACS profile alone.
We have previously shown that pectoralis muscle mass and tissue attenuation obtained on preoperative CT scans were powerful predictors of mortality after LVAD implantation using single center data. This analysis confirms those findings in a separate LVAD dataset and presents a novel prediction model developed across centers.
Percutaneous driveline infection is a major complication after left ventricular assist device (LVAD) implantation, causing pump infection. Therefore, the precise diagnosis and evaluation of driveline infection are important. Recently, Fluor-18-fluorodeoxyglucose positron emission tomography is used for diagnosis of LVAD-specific and related infections. However, the role of Gallium-67 single-photon emission computed tomography (Ga-SPECT)-CT has not been fully elucidated. We investigated whether Ga-SPECT-CT predicts outcomes of patients with LVAD-specific percutaneous driveline infection.
Restrictive allograft syndrome (RAS) has been identified as a chronic lung allograft dysfunction (CLAD) with the worst prognosis after lung transplantation (LTx). Diagnostic criteria of RAS have been proposed in double-LTx (DLTx), but how to apply these criteria in single (S)-LTx remain debatable. Hence, there is a need to validate and refine these criteria in SLTx. Our aim was to investigate functional, allosensitization, and CT-scan abnormalities patterns in SLTx recipients with RAS, as compared to single LTx with BOS or in stable condition.
We have previously demonstrated that pectoralis muscle mass and tissue attenuation measured on preoperative CT scans were powerful predictors of mortality after LVAD implantation. These measurements were made with specialized software (Slice-O-Matic) which is not accessible to advanced heart failure teams. The purpose of this analysis was to determine the correlation between pectoralis muscle measures made with specialized software vs. routinely available CT software (PACS).
Sound, rhythm, rate, structure, function – countless features of the heart are measured to keep it healthy for as long as possible. Recently, an army of digital health technologies joined the forces of traditional preventive tools in cardiology to counter stroke, heart attack, heart failure or any other cardiovascular risks. In the future, minuscule sensors, digital twins, and artificial intelligence could strengthen their ranks. Let’s see what the future of cardiology might look like! Fitness trackers, chatbots and A.I. against heart disease Let’s say 36-year-old Maria living in Sao Paulo in 2033 d...
Rationale: Because of the lack of an antidote or effective treatment, patients with severe acute diquat and glyphosate poisoning always died within a few hours. Extracorporeal membrane pulmonary oxygenation (ECMO), as an artificial heart-lung supporting system, can be applied to support lung that is expected to recover from reversible pathological damage. However, to our knowledge, the application of ECMO for patients with diquat and glyphosate poisoning has not been reported. Patient concerns: A 40-year-old man ingested in 100 ml of diquat (20 g/100 ml) and 400 ml glyphosate (41 g/100 ml) was admitted to ...
If you follow the recent advances in medical technology and artificial intelligence, you may have heard people make bold claims that AI will replace tomorrow’s doctors. While there are still ways to go for technology to reach these sci-fi level...
I read with great interest the article published by Gauthier and colleagues in the latest issue of the Journal. This excellent work from the St. Louis group highlights the importance of donor CT scans in lung transplantation.1