scholarly journals 60-Year-Old Man With Liver Lesions and a Subcutaneous Nodule

CHEST Journal ◽  
2021 ◽  
Vol 160 (3) ◽  
pp. e311-e313
Author(s):  
Justin Haloot ◽  
Nilam J. Soni ◽  
Kevin C. Proud
Author(s):  
T Haendl ◽  
D Strobel ◽  
N Steinerbrunner ◽  
M Frieser ◽  
EG Hahn ◽  
...  

Author(s):  
G. S. Agzamova ◽  
M. M. Abdullaeva

The immunological profile of chronic liver lesions depending on the toxic agent was studied. It was revealed that chronic poisoning by industrial toxic substances causes changes in the functional state of the T-system of immunity, long-term contact with industrial chemicals leads to increased sensitization to autoantigens of the body.


1998 ◽  
Vol 15 (5) ◽  
pp. 403-405 ◽  
Author(s):  
YK Tay ◽  
JG Morelli ◽  
WL Weston ◽  
LC Stork ◽  
SZ Ruyle
Keyword(s):  

Cytopathology ◽  
2021 ◽  
Author(s):  
Chinmayee Panigrahi ◽  
Tushar Subhadarshan Mishra ◽  
Amit Kumar Adhya

Diagnostics ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 1244
Author(s):  
Sonja Schwarz ◽  
Dirk-André Clevert ◽  
Michael Ingrisch ◽  
Thomas Geyer ◽  
Vincent Schwarze ◽  
...  

Background: To evaluate the diagnostic accuracy of quantitative perfusion parameters in contrast-enhanced ultrasound to differentiate malignant from benign liver lesions. Methods: In this retrospective study 134 patients with a total of 139 focal liver lesions were included who underwent contrast enhanced ultrasound (CEUS) between 2008 and 2018. All examinations were performed by a single radiologist with more than 15 years of experience using a second-generation blood pool contrast agent. The standard of reference was histopathology (n = 60), MRI or CT (n = 75) or long-term CEUS follow up (n = 4). For post processing regions of interests were drawn both inside of target lesions and the liver background. Time–intensity curves were fitted to the CEUS DICOM dataset and the rise time (RT) of contrast enhancement until peak enhancement, and a late-phase ratio (LPR) of signal intensities within the lesion and the background tissue, were calculated and compared between malignant and benign liver lesion using Student’s t-test. Quantitative parameters were evaluated with respect to their diagnostic accuracy using receiver operator characteristic curves. Both features were then combined in a logistic regression model and the cumulated accuracy was assessed. Results: RT of benign lesions (14.8 ± 13.8 s, p = 0.005), and in a subgroup analysis, particular hemangiomas (23.4 ± 16.2 s, p < 0.001) differed significantly to malignant lesions (9.3 ± 3.8 s). The LPR was significantly different between benign (1.59 ± 1.59, p < 0.001) and malignant lesions (0.38 ± 0.23). Logistic regression analysis with RT and LPR combined showed a high diagnostic accuracy of quantitative CEUS parameters with areas under the curve of 0.923 (benign vs. malignant) and 0.929 (hemangioma vs. malignant. Conclusions: Quantified CEUS parameters are helpful to differentiate malignant from benign liver lesions, in particular in case of atypical hemangiomas.


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