IgG4-related systemic disease affecting the parotid and submandibular glands: magnetic resonance imaging features of IgG4-related chronic sclerosing sialadenitis and concomitant lymphadenitis

2014 ◽  
Vol 38 (2) ◽  
pp. 195-198 ◽  
Author(s):  
Laurens J. De Cocker ◽  
Felice D’Arco ◽  
Tom De Beule ◽  
Thomas Tousseyn ◽  
Daniel Blockmans ◽  
...  
2015 ◽  
Vol 5 ◽  
pp. 37 ◽  
Author(s):  
Cristina I Olivas-Chacon ◽  
Carola Mullins ◽  
Kevan Stewart ◽  
Nassim Akle ◽  
Jesus E Calleros ◽  
...  

Non-ischemic cardiomyopathies are defined as either primary or secondary diseases of the myocardium resulting in cardiac dysfunction. While primary cardiomyopathies are confined to the heart and can be genetic or acquired, secondary cardiomyopathies show involvement of the heart as a manifestation of an underlying systemic disease including metabolic, inflammatory, granulomatous, infectious, or autoimmune entities. Non-ischemic cardiomyopathies are currently classified as hypertrophic, dilated, restrictive, or unclassifiable, including left ventricular non-compaction. Cardiovascular Magnetic Resonance Imaging (CMRI) not only has the capability to assess cardiac morphology and function, but also the ability to detect edema, hemorrhage, fibrosis, and intramyocardial deposits, providing a valuable imaging tool in the characterization of non-ischemic cardiomyopathies. This pictorial essay shows some of the most important non-ischemic cardiomyopathies with an emphasis on magnetic resonance imaging features.


Author(s):  
Omair Shah ◽  
Naseer Choh ◽  
Tahleel Shera ◽  
Faiz Shera ◽  
Tariq Gojwari ◽  
...  

AbstractAmyloidosis is a systemic disease involving many organs. Cardiac involvement is a significant cause of morbidity and mortality in these patients. Diagnosis of cardiac amyloidosis is based on endomyocardial biopsy which however is invasive and associated with complications. Noninvasive methods of diagnosis include magnetic resonance imaging (MRI) with various methods and sequences involved. Our study aims at describing MRI features of cardiac amyloidosis including new imaging sequences and to prognosticate the patients based on imaging features. We included 35 patients with suspected cardiac amyloidosis who underwent MRI at our center over 4 years. All images were retrieved from our archive and assessed by an experienced radiologist. Common morphological features in our patients included increased wall thickness of left ventricle (LV) (16. 1 ± 4.1 mm), right ventricle (RV) (6.3 ± 1.1 mm), and interatrial septum (6.2 ± 0.8 mm). Global late gadolinium enhancement (LGE) (n = 21 [65%]) including subendocardial or transmural was the most common pattern followed by patchy enhancement. Global transmural LGE was associated with worse prognosis. Four types of myocardial nulling patterns were observed on postcontrast time to invert (TI) scout imaging: normal nulling pattern (myocardium nulls after blood and coincident with spleen) and abnormal nulling pattern (ANP) which is further divided into three types: Type 1—myocardium nulls before blood pool but coincident with spleen, Type 2—myocardium nulling coincident with blood but not coincident with spleen, and Type 3—features of both Type 1 and Type 2. Type 3 ANP was the most common (n = 23) nulling pattern in our patients. Cardiac MRI is an essential in noninvasive diagnosis of cardiac amyloidosis. Transmural global LGE serves as a poor prognosticator in these patients. “Three-tier” TI scout imaging is essential to avoid false-negative enhancement results. Type 3 ANP is the most specific nulling pattern in cardiac amyloidosis.


2012 ◽  
Vol 12 (5) ◽  
pp. 331-339 ◽  
Author(s):  
Melania Costantini ◽  
Paolo Belli ◽  
Daniela Distefano ◽  
Enida Bufi ◽  
Marialuisa Di Matteo ◽  
...  

2014 ◽  
Vol 81 (5) ◽  
pp. 313-319 ◽  
Author(s):  
Yasuyuki Kitagawa ◽  
Masabumi Miyamoto ◽  
Shunsuke Konno ◽  
Akira Makino ◽  
Go Maruyama ◽  
...  

2012 ◽  
Vol 30 (8) ◽  
pp. 676-679 ◽  
Author(s):  
Jelena Djokić Kovač ◽  
Marija Kratovac Dunjić ◽  
Miloš Bjelović ◽  
Bojan Banko ◽  
Gordana Lilić ◽  
...  

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