A standardized imaging protocol is accurate in detecting recurrence after EMR

2017 ◽  
Vol 85 (3) ◽  
pp. 518-526 ◽  
Author(s):  
Lobke Desomer ◽  
Nicholas Tutticci ◽  
David J. Tate ◽  
Stephen J. Williams ◽  
Duncan McLeod ◽  
...  
2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Moritz B. Immohr ◽  
Yukiharu Sugimura ◽  
Patric Kröpil ◽  
Hug Aubin ◽  
Jan-Philipp Minol ◽  
...  

Abstract Background Femoral cannulation for extracorporeal circulation (ECC) is a standard procedure for minimally invasive cardiac surgery (MICS) of the atrio-ventricular valves. Vascular pathologies may cause serious complications. Preoperative computed tomography-angiography (CT-A) of the aorta, axillary and iliac arteries was implemented at our department. Methods Between July 2017 and December 2018 all MICS were retrospectively reviewed (n = 143), and divided into 3 groups. Results In patients without CT (n = 45, 31.5%) ECC was applied via femoral arteries (91.1% right, 8.9% left). Vascular related complications (dissection, stroke, coronary and visceral ischemia, related in-hospital death) occurred in 3 patients (6.7%). In patients with non-contrast CT (n = 35, 24.5%) only femoral cannulation was applied (94.3% right) with complications in 4 patients (11.4%). CT-angiography (n = 63, 44.1%) identified 12 patients (19.0%) with vulnerable plaques, 7 patients (11.1%) with kinking of iliac vessels, 41 patients (65.1%) with multiple calcified plaques and 5 patients (7.9%) with small femoral artery diameter (d ≤ 6 mm). In 7 patients (11.1%) pathologic findings led to alternative cannulation via right axillary artery, additional 4 patients (6.3%) were cannulated via left femoral artery. Only 2 patients (3.2%) suffered from complications. Conclusions CT-A identifies vascular pathologies otherwise undetectable in routine preoperative preparation. A standardized imaging protocol may help to customize the operative strategy.


2018 ◽  
Vol 87 (1) ◽  
pp. 222-231.e2 ◽  
Author(s):  
David J. Tate ◽  
Mahesh Jayanna ◽  
Halim Awadie ◽  
Lobke Desomer ◽  
Ralph Lee ◽  
...  

2016 ◽  
Vol 83 (5) ◽  
pp. AB190 ◽  
Author(s):  
Lobke Desomer ◽  
Nicholas Tutticci ◽  
David J. Tate ◽  
Stephen J. Williams ◽  
Duncan McLeod ◽  
...  

Author(s):  
Mohamed D. Homos

Abstract Background Multiple sclerosis is a chronic demyelinating disease that affects the white and grey matter. The thalamus is responsible for many neurological functions, and it is liable to damage in multiple sclerosis in the absence of MRI-detectable thalamic lesions. Standardized imaging protocol for multiple sclerosis includes 3D FLAIR sequence that is highly sensitive in detecting white matter lesions. Owing to the thalamic functional importance, we aim in this study to show to what extent the standardized imaging protocol (3D FLAIR) can predict microscopic damage of normal appearing thalami, depending on DTI metrics (ADC and FA) as indicators of the microscopic damage. Results We examined 42 multiple sclerosis patients, 16 males and 26 females, with mean age 29 ± 6 years using 3D FLAIR sequence to delineate the white matter lesions and calculate their total areas and using DTI to calculate the average ADC and FA values of the thalami. Spearman’s correlation coefficient (r) was used to correlate between the white matter lesion burden and the thalamic diffusivity (ADC and FA). Moderate correlation was found between average ADC values of the thalami and the total white matter lesion areas (r = 0.5, p = 0.03). Very weak correlation was found between average FA values of the thalami and the total white matter lesion areas (r = − 0.1, p = 0.6) Conclusion White matter lesion burden detected using the highly sensitive 3D FLAIR sequence does not always correlate with the microstructural damage in normal appearing thalami. DTI needs to be added to the examination protocol if damage of normal appearing thalami is of concern.


2015 ◽  
Vol 46 (1) ◽  
pp. 33-43 ◽  
Author(s):  
Tougan Taha ◽  
Hassan Wahba ◽  
Ahmed S. Ibrahim ◽  
Yasser AbdElazim

Cancers ◽  
2021 ◽  
Vol 13 (12) ◽  
pp. 2960
Author(s):  
Austin-John Fordham ◽  
Caitlin-Craft Hacherl ◽  
Neal Patel ◽  
Keri Jones ◽  
Brandon Myers ◽  
...  

Differentiating between glioblastomas and solitary brain metastases proves to be a challenging diagnosis for neuroradiologists, as both present with imaging patterns consisting of peritumoral hyperintensities with similar intratumoral texture on traditional magnetic resonance imaging sequences. Early diagnosis is paramount, as each pathology has completely different methods of clinical assessment. In the past decade, recent developments in advanced imaging modalities enabled providers to acquire a more accurate diagnosis earlier in the patient’s clinical assessment, thus optimizing clinical outcome. Dynamic susceptibility contrast has been optimized for detecting relative cerebral blood flow and relative cerebral blood volume. Diffusion tensor imaging can be used to detect changes in mean diffusivity. Neurite orientation dispersion and density imaging is an innovative modality detecting changes in intracellular volume fraction, isotropic volume fraction, and extracellular volume fraction. Magnetic resonance spectroscopy is able to assist by providing a metabolic descriptor while detecting variable ratios of choline/N-acetylaspartate, choline/creatine, and N-acetylaspartate/creatine. Finally, radiomics and machine learning algorithms have been devised to assist in improving diagnostic accuracy while often utilizing more than one advanced imaging protocol per patient. In this review, we provide an update on all the current evidence regarding the identification and differentiation of glioblastomas from solitary brain metastases.


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