Investigation of Non-Invasive Attributes for Classification of Patients with Portal Hypertension

Author(s):  
Mindaugas Marozas ◽  
Romanas Zykus ◽  
Andrius Sakalauskas ◽  
Limas Kupcinskas ◽  
Arunas Lukosevicius
2017 ◽  
Vol 103 (2) ◽  
pp. 186-191 ◽  
Author(s):  
Tassos Grammatikopoulos ◽  
Patrick James McKiernan ◽  
Anil Dhawan

Portal hypertension (PHT), defined as raised intravascular pressure in the portal system, is a complication of chronic liver disease or liver vascular occlusion. Advances in our ability to diagnose and monitor the condition but also predict the risk of gastrointestinal bleeding have enabled us to optimise the management of children with PHT either at a surveillance or at a postbleeding stage. A consensus among paediatric centres in the classification of varices can be beneficial in streamlining future paediatric studies. New invasive (endoscopic and surgical procedures) and non-invasive (pharmacotherapy) techniques are currently used enabling clinicians to reduce mortality and morbidity in children with PHT.


2021 ◽  
Vol 137 ◽  
pp. 106861
Author(s):  
Deepa Joshi ◽  
Ankit Butola ◽  
Sheetal Raosaheb Kanade ◽  
Dilip K. Prasad ◽  
S.V. Amitha Mithra ◽  
...  

2008 ◽  
Vol 32 (6) ◽  
pp. 80-87 ◽  
Author(s):  
F. Vizzutti ◽  
U. Arena ◽  
L. Rega ◽  
M. Pinzani

2021 ◽  
Vol 75 (2) ◽  
pp. 125-133
Author(s):  
Soňa Franková ◽  
Jan Šperl

Portal hypertension represents a wide spectrum of complications of chronic liver diseases and may present by ascites, oesophageal varices, splenomegaly, hypersplenism, hepatorenal and hepatopulmonary syndrome or portopulmonary hypertension. Portal hypertension and its severity predicts the patient‘s prognosis: as an invasive technique, the portosystemic gradient (HPVG – hepatic venous pressure gradient) measurement by hepatic veins catheterisation has remained the gold standard of its assessment. A reliable, non-invasive method to assess the severity of portal hypertension is of paramount importance; the patients with clinically significant portal hypertension have a high risk of variceal bleeding and higher mortality. Recently, non-invasive methods enabling the assessment of liver stiffness have been introduced into clinical practice in hepatology. Not only may these methods substitute for liver biopsy, but they may also be used to assess the degree of liver fibrosis and predict the severity of portal hypertension. Nowadays, we can use the quantitative elastography (transient elastography, point shear-wave elastrography, 2D-shear-wave elastography) or magnetic resonance imaging. We may also assess the severity of portal hypertension based on the non-invasive markers of liver fibrosis (i.e. ELF test) or estimate clinically signifi cant portal hypertension using composite scores (LSPS – liver spleen stiff ness score), based on liver stiffness value, spleen diameter and platelet count. Spleen stiffness measurement is a new method that needs further prospective studies. The review describes current possibilities of the non-invasive assessment of portal hypertension and its severity.


2021 ◽  
Vol 36 (Supplement_1) ◽  
Author(s):  
J Keckstein ◽  
H Gernot

Abstract Study question Is there a classification for a complete mapping of endometriosis, including anatomical location, size of the lesions, and degree of involvement that can be used with both, diagnostics and surgery? Summary answer #Enzian classification improves in both, non-invasive diagnostic methods and surgical therapy for endometriosis as a universally usable classification system for all aspects of the disease. What is known already The most commonly used r-ASRM classification has certain limitations due to its incomplete description of DE, the complexity of the classification, and lack of reproducibility. In contrast, the Enzian classification, which has been implemented in the last decade, has proved to be the most suitable for the description of DE. However, since it does not include peritoneal and ovarian lesions and lacks a description of tubo-ovarian adhesions, it has not gained full acceptance. A combination of classification with different systems such as r-ASRM, EFI score and Enzian, may complicate classification of the disease due to overlaps and time-consuming documentation. Study design, size, duration The result is a consensus of a panel of renowned clinicians (working group), gynaecological surgeons and sonographers with extensive expertise in diagnosis and therapy of endometriosis. A first draft was written in 2019 by a joint effort of the first and last author and sent to all working group members. Taking all comments into account, a revised draft was then sent to all coauthors and repeated until a consensus was reached (9 revisions). Participants/materials, setting, methods Criteria used to invite the experts to participate in this consensus process included their having significant peer-reviewed publications in the field of diagnosis and management of endometriosis. Main results and the role of chance Our current proposal is the first of its kind to universally describe superficial and deep endometriosis, ovarian endometriosis, adenomyosis and adhesions by using a classification system that can be applied by gynaecologists, surgeons, sonographers and radiologists following the same principles. The correlation between preoperative and surgical staging, on the basis of the Enzian scheme, allows for consistent and clear classification of endometriosis, especially DE. Endometriosis can be mapped completely with one single classification system enabling the use of one common language. Limitations, reasons for caution This classification system is anatomically logical and should be easy to use. Further studies are ongoing and are needed to provide proof for the applicability, reproducibility and accuracy of the #Enzian classification for the description of endometriosis. Wider implications of the findings: #Enzian classification now enabled better coverage of various endometriosis localizations. The possibility of using this system preoperatively as well as postoperatively within the framework of diagnostics offers clinicians a significant improvement in the care of patients with such a complex disease. Trial registration number Not applicable


2019 ◽  
Vol 70 (1) ◽  
pp. e813
Author(s):  
Irene Andaluz ◽  
Marta Abadía ◽  
Dolores Ponce ◽  
María Luisa Montes ◽  
Teresa Hernández ◽  
...  

Author(s):  
Erik Gaasedelen ◽  
Alex Deakyne ◽  
Paul Iaizzo

The applications of sensing and localization are becoming more sophisticated in many invasive and non-invasive surgical procedures and there is great interest to apply them to the human heart. Ideally, such tools could be indispensable for allowing physicians to spatially understand relative tissue morphologies and their associated electrical conduction. Yet today there remains a steep divide between the creation of spatial environment models and the contextual understandings of adjacent features. To begin to address this, we explore the problem of anatomical perception by applying deep learning to the identification of internal cardiac anatomy images.


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