Myocardial infarction with nonobstructive coronary arteries (MINOCA) is a heterogeneous clinical entity, encompassing multiple different causes, and a cause of substantial morbidity and mortality. Current guidelines suggest a multimodality imaging approach in establishing the underlying cause for MINOCA, which is considered a working diagnosis. Recent studies have suggested that an initial workup consisting of cardiac magnetic resonance and invasive coronary imaging can yield the diagnosis in most patients. Cardiac magnetic resonance is particularly helpful in excluding nonischemic causes that can mimic MINOCA including myocarditis and Takotsubo cardiomyopathy, as well as for long-term prognostication. Additionally, intracoronary imaging with intravascular ultrasound or optical coherence tomography may be warranted to evaluate plaque composition, or evaluate for plaque disruption or spontaneous coronary dissection. The role of noninvasive imaging modalities such as coronary computed tomography angiography is currently being investigated in the diagnostic approach and follow-up of MINOCA and may be appropriate in lieu of invasive coronary angiography in select patients. In recent years, many strides have been made in the workup of MINOCA; however, significant knowledge gaps remain in the field, particularly in terms of treatment strategies. In this review, we summarize recent society guideline recommendations and consensus statements on the initial evaluation of MINOCA, review contemporary multimodality imaging approaches, and discuss treatment strategies including an ongoing clinical trial.
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http://dx.doi.org/10.1161/JAHA.121.022787 | DOI Listing |
Arch Pathol Lab Med
January 2025
the Department of Pathology, The Ohio State University, Columbus (Parwani).
Context.—: Generative artificial intelligence (AI) has emerged as a transformative force in various fields, including anatomic pathology, where it offers the potential to significantly enhance diagnostic accuracy, workflow efficiency, and research capabilities.
Objective.
Radiology
January 2025
From the Institute of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Strasse 22, Munich 81675, Germany.
Background Studies have explored the application of multimodal large language models (LLMs) in radiologic differential diagnosis. Yet, how different multimodal input combinations affect diagnostic performance is not well understood. Purpose To evaluate the impact of varying multimodal input elements on the accuracy of OpenAI's GPT-4 with vision (GPT-4V)-based brain MRI differential diagnosis.
View Article and Find Full Text PDFRadiology
January 2025
From the Department of Radiology, University Hospital Halle, Ernst-Grube-Strasse 40, 06120 Halle (Saale), Germany (D.S., J.S., J.M.B.); Department of Nuclear Medicine, University of Leipzig, Leipzig, Germany (L.K., T.W.G., R.K.); Diagnostic Imaging and Pediatrics, Warren Alpert Medical School, Brown University, Providence, RI (K.M.M.); Department of Pediatric Radiology, Imaging and Radiation Oncology, Core-Rhode Island, Providence, RI (K.M.M.); Department of Oncology, St Jude Children's Research Hospital, Memphis, Tenn (J.E.F.); Department of Pediatric Hematology and Oncology, University Hospital Giessen-Marburg, Giessen, Germany (C.M.K., D.K.); Medical Faculty of the Martin Luther University of Halle-Wittenberg, Halle (Saale) Germany (C.M.K.); Department of Radiology, University of Wisconsin-Madison, Madison, Wis (S.Y.C.); Roswell Park Comprehensive Cancer Center, Buffalo, NY (K.M.K.); Department of Radiation Oncology, Medical Faculty of the Martin-Luther-University, Halle (Saale), Germany (T.P., D.V.); Department of Radiation Oncology, Mayo Clinic-Jacksonville, Jacksonville, Fla (B.S.H.); Department of Radio-Oncology, Medical University Vienna, Vienna, Austria (K.D.); and Department of Radiology, Boston Children's Hospital and Harvard Medical School, Boston, Mass (S.D.V.).
Staging of pediatric Hodgkin lymphoma is currently based on the Ann Arbor classification, incorporating the Cotswold modifications and the Lugano classification. The Cotswold modifications provide guidelines for the use of CT and MRI. The Lugano classification emphasizes the importance of CT and PET/CT in evaluating both Hodgkin lymphoma and non-Hodgkin lymphoma but focuses on adult patients.
View Article and Find Full Text PDFHum Brain Mapp
February 2025
Department of Neurology, Centre for Leading Medicine and Advanced Technologies of IHM, the First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, China.
Apathy is a common neuropsychiatric symptom following stroke, characterized by reduced goal-directed behavior. The reward decision network (RDN), which plays a crucial role in regulating goal-directed behaviors, is closely associated with apathy. However, the relationship between poststroke apathy (PSA) and RDN dysfunction remains unclear due to apathy heterogeneity, the confounding effect of depression and individual variability in lesion impacts.
View Article and Find Full Text PDFAm J Ophthalmol Case Rep
March 2025
Department of Ophthalmology, Shinshu University School of Medicine, Japan.
Purpose: To report a case of a diabetic patient undergoing rapid glycemic improvement characterized by the development and resolution of cotton wool spot (CWS), with detailed structural and vascular assessment using wide-field multimodal imaging, including wide-field color fundus photography and wide-field optical coherence tomography angiography (OCTA).
Observations: A 47-year-old man with poorly controlled Type 2 diabetes mellitus developed CWS in his right eye 3 months after initiating insulin therapy, which coincided with a significant reduction in HbA1c levels. Wide-field color fundus photography and wide-field OCTA were performed before, during, and after CWS appeared.
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