Subscribe to the gold package and get unlimited access to Shamra Academy
Register a new userLaparoscopic Heller Myotomy with Fundoplication for Achalasia
معالجة الأكالازيا بخزع عضلية المري حسب هيلر مع طي قاع المعدة بتنظير البطن
1085
0 42
0
(
0
)
Added by
Damascus University ورقة بحثية
Publication date
2008
fields
Medicine
and research's language is
العربية
Authors
حمود حامد( باحث )
Created by
Shamra Editor
Ask ChatGPT about the research
الهدف: دراسة نتائج معالجة الأكالازيا بتنظير البطن من خلال خزع عضلية المري حسب هيلر مع طي قاع المعدة الجزئي أو الكامل، و تحديد فائدة هذه المعالجة و مضاعفاتها على المدى الطويل. أجريت الدراسة بالطريقة التراجعية و المستقبلية في مستشفى الأسد الجامعي بدمشق خلال 3 سنوات و قد شملت جميع المرضى الذين عولجوا بخزع عضلية المري حسب هيلر بتنظير البطن مع إجراء مضاد للقلس بين عامي 2005 و 2008.
Objective: To determine the results of laparoscopic Heller myotomy with complete or partial fundoplication for the treatment of achalasia and evaluating its longterm benefits and complications. The study was performed retrospectively and prospectively, including all patients with achalsia who where treated by laparoscopic Heller myotomy with fundoplication in Al Assad University Hospital in Damascus between 2005 and 2008.
References used
Torquati A, Richards WO, Holzman MD, et al. Laparoscopic myotomy for achalasia: predictors of successful outcome after 200 cases. Annals of Surgery. 2006; 243(5):587-93
Rossetti G, Brusciano L, Amato G, et al. A total fundoplication is not an obstacle to esophageal emptying after Heller myotomy for achalasia: results of a long-term follow up. Annals of Surgery. 2005; 241(4):614-21
Ramacciato G, Mercantini P, Amodio PM, et al. Minimally invasive surgical treatment of esophageal achalasia. JSLS. 2003;7:219-225
rate research
Read More
To compare total and subtotal gastrectomy performed by
laparoscopic technique with those performed by open surgery, and to
determine whether laparoscopic surgery has an important role and
advantages in gastric resection.
Ovarian pathology can occur at any time from fetal life to menopause. And the
most common benign and malignant ovarian masses are cystic in origin, so the treatment is very
important where continual search about the preferred ways, less invasion an
d less complications.
The aim of this study is to describe the advantages and disadvantages of the laparoscopic ovarian
Cystectomy.
This article explores the potential for Natural Language Processing (NLP) to enable a more effective, prevention focused and less confrontational policing model that has hitherto been too resource consuming to implement at scale. Problem-Oriented Pol
icing (POP) is a potential replacement, at least in part, for traditional policing which adopts a reactive approach, relying heavily on the criminal justice system. By contrast, POP seeks to prevent crime by manipulating the underlying conditions that allow crimes to be committed. Identifying these underlying conditions requires a detailed understanding of crime events - tacit knowledge that is often held by police officers but which can be challenging to derive from structured police data. One potential source of insight exists in unstructured free text data commonly collected by police for the purposes of investigation or administration. Yet police agencies do not typically have the skills or resources to analyse these data at scale. In this article we argue that NLP offers the potential to unlock these unstructured data and by doing so allow police to implement more POP initiatives. However we caution that using NLP models without adequate knowledge may either allow or perpetuate bias within the data potentially leading to unfavourable outcomes.
Pretraining-based neural network models have demonstrated state-of-the-art (SOTA) performances on natural language processing (NLP) tasks. The most frequently used sentence representation for neural-based NLP methods is a sequence of subwords that is
different from the sentence representation of non-neural methods that are created using basic NLP technologies, such as part-of-speech (POS) tagging, named entity (NE) recognition, and parsing. Most neural-based NLP models receive only vectors encoded from a sequence of subwords obtained from an input text. However, basic NLP information, such as POS tags, NEs, parsing results, etc, cannot be obtained explicitly from only the large unlabeled text used in pretraining-based models. This paper explores use of NEs on two Japanese tasks; document classification and headline generation using Transformer-based models, to reveal the effectiveness of basic NLP information. The experimental results with eight basic NEs and approximately 200 extended NEs show that NEs improve accuracy although a large pretraining-based model trained using 70 GB text data was used.
The aim of this study was to assess and analysis the morphology of the nose and
examine their relationships with the facial growth types according to Jarabak and their
differences between the sexes This study is performed with using radiographic
c
ephalometric for 31 female and 55 male aged between 18-25 years and by using analysis
of variance Kruskall-Wallis one-way ANOVA and Mann-Whitney U-tests of statistical
test. The results showed a statistically significant relationship between each of the angle
Cranial base with the nasal bone (Nasal bone / SN), and level of the nose with cranial base
(NSL / NL), and the facial pattern for all the simple. It was noted the existence of a
significant statistical relationship between the length of the nasal cartilage (Cart-nose), and
the total length of the nose , and the angle between the nasal bone with cranial base and
facial pattern .And the results showed at females the presence statistically significant
relationship between each of the( Nasal bone / SN), and (NSL / NL), and facial pattern.
suggested questions
Log in to be able to interact and post comments
comments
Fetching comments
Sign in to be able to follow your search criteria
