Veterinary Record3T MRI characteristics of the palatine tonsil in brachycephalic dogs

Background: Fat can be identified in numerous liver lesions, and usually is not a specific finding. Distinguishing between different kinds of fatty deposits is an important part of differential diagnosis. Magnetic Resonance Imaging (MRI) is superior to other imaging techniques because it allows distinguishing intracellular from macroscopic fat. Discussion: Intracellular lipid may be found in focal hepatic steatosis, hepatic adenoma, hepatocellular carcinoma and, less commonly, in focal nodular hyperplasia as well as regenerative and dysplastic nodules. Macroscopic fat is seen in angiomyolipoma, lipoma, metastases from fatcontaining neoplasms, primary or metastatic liposarcoma, hydatid cyst, pseudolipoma of the Glisson capsule, pericaval fat collection, lipopeliosis, hepatic teratoma, focal hepatic extramedullary haematopoiesis and adrenal rest tumour. Conclusion: Liver nodules should be characterised with regard to underlying liver condition, MRI characteristics and contrast enhancement pattern, including hepatobiliary phase. In many cases, identification of fatty content may help narrowing the differential diagnosis.

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Pituitary MRI characteristics in 297 acromegaly patients based on T2-weighted sequences

Endocrine Related Cancer ◽

10.1530/erc-14-0305 ◽

2015 ◽

Vol 22 (2) ◽

pp. 169-177 ◽

Cited By ~ 46

Author(s):

Iulia Potorac ◽

Patrick Petrossians ◽

Adrian F Daly ◽

Franck Schillo ◽

Claude Ben Slama ◽

...

Keyword(s):

Large Population ◽

Optic Chiasm ◽

Research Priority ◽

Maximal Diameter ◽

Magnetic Resonance Imaging Mri ◽

Multimodal Management ◽

Mri Characteristics ◽

Weighted Sequences ◽

The Relationship

Responses of GH-secreting adenomas to multimodal management of acromegaly vary widely between patients. Understanding the behavioral patterns of GH-secreting adenomas by identifying factors predictive of their evolution is a research priority. The aim of this study was to clarify the relationship between the T2-weighted adenoma signal on diagnostic magnetic resonance imaging (MRI) in acromegaly and clinical and biological features at diagnosis. An international, multicenter, retrospective analysis was performed using a large population of 297 acromegalic patients recently diagnosed with available diagnostic MRI evaluations. The study was conducted at ten endocrine tertiary referral centers. Clinical and biochemical characteristics, and MRI signal findings were evaluated. T2-hypointense adenomas represented 52.9% of the series, were smaller than their T2-hyperintense and isointense counterparts (P<0.0001), were associated with higher IGF1 levels (P=0.0001), invaded the cavernous sinus less frequently (P=0.0002), and rarely caused optic chiasm compression (P<0.0001). Acromegalic men tended to be younger at diagnosis than women (P=0.067) and presented higher IGF1 values (P=0.01). Although in total, adenomas had a predominantly inferior extension in 45.8% of cases, in men this was more frequent (P<0.0001), whereas in women optic chiasm compression of macroadenomas occurred more often (P=0.0067). Most adenomas (45.1%) measured between 11 and 20 mm in maximal diameter and bigger adenomas were diagnosed at younger ages (P=0.0001). The T2-weighted signal differentiates GH-secreting adenomas into subgroups with particular behaviors. This raises the question of whether the T2-weighted signal could represent a factor in the classification of acromegalic patients in future studies.

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High‐resolution MRI of the human palatine tonsil and its schematic anatomic 3D reconstruction

Journal of Anatomy ◽

10.1111/joa.13532 ◽

2021 ◽

Author(s):

Karl‐Heinz Herrmann ◽

Franziska Hoffmann ◽

Günther Ernst ◽

David Pertzborn ◽

Daniela Pelzel ◽

...

Keyword(s):

High Resolution ◽

3D Reconstruction ◽

Palatine Tonsil ◽

High Resolution Mri

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MRI features of responsible contacts in vascular compressive trigeminal neuralgia and prediction modeling

Acta Radiologica ◽

10.1177/0284185120983971 ◽

2021 ◽

pp. 028418512098397

Author(s):

Yufei Zhao ◽

Jianhua Chen ◽

Rifeng Jiang ◽

Xue Xu ◽

Lin Lin ◽

...

Keyword(s):

Trigeminal Neuralgia ◽

Predictive Model ◽

Trigeminal Nerve ◽

Roc Curve ◽

Neurovascular Compression ◽

Diagnostic Efficiency ◽

Mri Features ◽

Vascular Origin ◽

Magnetic Resonance Imaging Mri ◽

Mri Characteristics

Background Multiple neurovascular contacts in patients with vascular compressive trigeminal neuralgia often challenge the diagnosis of responsible contacts. Purpose To analyze the magnetic resonance imaging (MRI) features of responsible contacts and establish a predictive model to accurately pinpoint the responsible contacts. Material and Methods Sixty-seven patients with unilateral trigeminal neuralgia were enrolled. A total of 153 definite contacts (45 responsible, 108 non-responsible) were analyzed for their MRI characteristics, including neurovascular compression (NVC) grading, distance from pons to contact (Dpons-contact), vascular origin of compressing vessels, diameter of vessel (Dvessel) and trigeminal nerve (Dtrigeminal nerve) at contact. The MRI characteristics of the responsible and non-responsible contacts were compared, and their diagnostic efficiencies were further evaluated using a receiver operating characteristic (ROC) curve. The significant MRI features were incorporated into the logistics regression analysis to build a predictive model for responsible contacts. Results Compared with non-responsible contacts, NVC grading and arterial compression ratio (84.44%) were significantly higher, Dpons-contact was significantly lower at responsible contacts ( P < 0.001, 0.002, and 0.033, respectively). NVC grading had a highest diagnostic area under the ROC curve (AUC) of 0.742, with a sensitivity of 64.44% and specificity of 75.00%. The logistic regression model showed a higher diagnostic efficiency, with an AUC of 0.808, sensitivity of 88.89%, and specificity of 62.04%. Conclusion Contact degree and position are important MRI features in identifying the responsible contacts of the trigeminal neuralgia. The logistic predictive model based on Dpons-contact, NVC grading, and vascular origin can qualitatively improve the prediction of responsible contacts for radiologists.

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