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Wall, Abdominal

The abdominal wall is the anterior ventral portion of the abdomen, extending from the pelvic brim to the thorax.
It is composed of the skin, fascia, musculature, and peritoneum.
Disorders of the abdominal wall include hernias, disfigurement, and weakeness.
Pubcompare.ai's AI-powered insights can help you optimze your research on abdominal wall conditions by locating the latest protocols from literature, preprints, and patents, and using AI-driven comparisons to identify the best protocols and products for your research needs.

Most cited protocols related to «Wall, Abdominal»

Chevrel and Rath [3 (link)] proposed a classification for incisional hernias in 2000. This classification is attractive, because it is simple, and the data required to reach the classification are readily obtained. Three parameters were utilised. Firstly, the localisation of the hernia of the abdominal wall: divided into median (M1–M4) and lateral (L1–L4) hernias. Secondly, the size of the hernia: it was postulated that the width of the hernia defect is the most important parameter (greater than hernia defect surface, length of the hernia or size of the hernia sac), which was divided into four groups (W1–W4). As a third parameter of this classification, subgroups were made for incisional hernias and recurrences: the number of previous hernia repairs was recorded as (R0, R1, R2, R3,…). Although apparently easy to use, this classification has not been commonly used in the literature.
In his book on hernia surgery, “Hernien”, Schumpelick described a classification that divided incisional hernias into five classes [2 ]. The size of the defect, the clinical aspect of the hernia in lying and standing position, the localisation of the incision and the number of previous repairs were used for this classification.
Korenkov et al. [4 (link)] reported on the results of an expert meeting on classification and surgical treatment of incisional hernia, but no detailed classification proposal resulted from this meeting.
Ammaturo and Bassi [6 (link)] suggested an additional parameter to the Chevrel classification. The ratio between the anterior abdominal wall surface and the wall defect surface predicts a strong abdominal wall tension when closing the defect, with possible abdominal compartment syndrome development, and thus might influence the choice of surgical technique.
Recently, Dietz et al. [5 (link)] proposed another alternative classification of incisional hernias in which variables like body type, hernia morphology and risk factors for recurrence were included and recommendations made for surgical repair based on the different types. It is based on a self-explanatory taxonomy and is intended to tailor the repair to the body type and risk factors of the individual patient.
The Swedish Abdominal Wall Hernia Registry presented their data collection sheet for incisional and ventral hernias at the EAES congress in Stockholm in June 2008, which forms the basis for a classification and includes many prognostic relevant variables. For this reason Agneta Montgomery was invited to the consensus meeting to present the method of classification used in Sweden.
Publication 2009
Abdominal Compartment Syndrome Experimental Autoimmune Encephalomyelitis Hernia Hernia, Abdominal Herniorrhaphy Incisional Hernia Operative Surgical Procedures Patients Recurrence Somatotype Ventral Hernia Wall, Abdominal Wound Healing
The CT images were read by 2 individuals with an interobserver correlation of 98%. Each reader was blinded to patient outcome. One investigator (A.M.L.) measured muscle mass using the image analysis software application sliceOmatic (TomoVision, Montreal, Canada) and the other (C.W.W.) used Advantage Windows 2.2 Volume Viewer (GE Healthcare, Waukesha, WI). Skeletal muscle area was quantified as follows: first, an individual section on each CT scan was identified at the superior aspect of the L3 vertebral level. In this section, the areas of the psoas, paraspinal, and abdominal wall (including rectus abdominis, transverse abdominis, and internal and external oblique) muscles at L3 were outlined. Houndsfield unit (HU) range included −29 to + 150 HU. The cross-sectional area of these muscles was semiautomatically measured, yielding the total cross-sectional area (cm2) of the abdominal skeletal muscles at L3. The L3 skeletal muscle area was then normalized to height to calculate the SMI: SMI (cm2/m2) = (total abdominal skeletal muscle area in cm2)/(height in m2).
This technique was chosen based on previous validation against dual X-ray absorptiometry,(13 –15 (link)) its use in the oncology literature,(16 (link),17 (link)) and its predominance in the transplant literature.(4 (link),18 (link)–20 (link))
Publication 2017
Abdomen Dual-Energy X-Ray Absorptiometry External Abdominal Oblique Muscle Grafts Muscle Tissue Neoplasms Patients Rectus Abdominis Skeletal Muscles Vertebra Wall, Abdominal X-Ray Computed Tomography
Single CT slices were loaded onto the dedicated workstation (Aquarius 3D Workstation, TeraRecon, San Mateo, CA, USA). The subcutaneous adipose tissue area (cm2) and visceral adipose tissue area (cm2) were measured using a single slice (5 mm thickness, 50 cm field view) at different anatomical locations.13 (link),14 (link) We defined the following anatomic locations as measurement sites:13 (link),14 (link) (1) inferior surface of the vertebral body of L1; (2) inferior surface of L2; (3) inferior surface of L3; (4) inferior surface of L4; (5) inferior surface of L5; (6) at the level of the umbilicus; and (7) the superior portion of the right iliac crest ((1)–(6): Figure 1a, (7): Figure 1b).
For each anatomic location, SAT and VAT were measured by applying predefined image display settings (window width: −195 to −45 HU; center: −120 HU). In order to separate VAT from SAT, the abdominal muscular wall separating the two compartments was automatically traced and subsequently adjusted manually. We have previously shown that area-based measurements are highly reproducible.12 (link)
Publication 2010
Body Regions Iliac Crest Muscle Tissue Subcutaneous Fat Umbilicus Vertebral Body Visceral Fat Wall, Abdominal
Several members of the EHS board and some invitees gathered at the initiative of the Belgian Section for Abdominal Wall Surgery (BSAWS) and the Dutch Hernia Society (DHS) for 2 days to discuss the development of an EHS classification for primary and incisional abdominal wall hernias.1During an initial discussion, the existing proposals were briefly presented by one of the participants.
Thereafter, a decision was taken concerning the purpose of a classification and the scope of this consensus meeting. Some of the participants saw it mainly as a search for a simple classification. Because it was supported by and originated from the EHS, this classification could have a greater application in hospitals and in the surgical literature than the previous proposals published originating from one centre. Others were more in favour of an open structured approach, in which “scientists” would gather a maximum number of data sets in a prospective registry. With this registry, it was hoped to discover the most valuable and important risks factors for recurrence in order to direct future guidelines and therapeutic choices. It was decided to focus first on a simple, reproducible classification, because getting results out of the registry may take many years. A classification was proposed as such, including localisation of the hernia and the size of the hernia defect as decisive for the outcome, not going into its use to direct therapeutic choices for the present time. During the last session of the meeting, the development of a large, broad and open structured European registry was initiated.
Publication 2009
Europeans Hernia Hernia, Abdominal Operative Surgical Procedures Recurrence Therapeutics Wall, Abdominal

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Publication 2020
Acute Disease ARID1A protein, human Arm, Upper Chronic Obstructive Airway Disease COVID 19 Decompression Sickness Diagnosis Heart Heart Diseases Hemorrhagic Stroke Knee Lumbar Region Medical Devices Mini Mental State Examination Neurodegenerative Disorders Oral Cavity Patients Pressures, Maximum Expiratory Rehabilitation Respiration Disorders Respiratory Muscles Respiratory Rate Volumes, Forced Expiratory Wall, Abdominal

Most recents protocols related to «Wall, Abdominal»

CT scans within 1 month prior to TACE or in the first post-TACE were selected to measure body composition. Pre-TACE scans were preferentially chosen. When these were unavailable, the earliest post-TACE scans were used in the study. The CT images at the level of the third lumbar vertebra (L3) were carefully chosen and archived as Digital Imaging and Communications in Medicine (DICOM) data. All DICOM data calculated body composition using in-house software developed by MATLAB (The MathWorks, Natick, MA, USA) and freeware Python 3.6.13 (Anaconda, Inc.), to generate the measurement model based on neural network architecture also known as UNet. The valid accuracy of the model was 99.17% and validity of the intersect over union co-efficiency was 89.40%17 (link).
The L3 skeletal muscle index (SMI) is used to identify sarcopenia and is calculated by dividing the cross-sectional area of the muscle by the square of the patient's height (cm2/m2). Sarcopenia was defined as SMI ≤ 36.2 cm2/m2 and ≤ 29.6 cm2/m2 for males and females, respectively11 (link). The areas of the abdominal wall and back muscles were used to calculate the SMD based on the areas of the pixels with attenuation between − 29 and + 150 HU. Myosteatosis was defined as SMD ≤ 44.4 HU or ≤ 39.3 HU in males and females, respectively11 (link). In addition, patients were classified into four groups according to their sarcopenia and myosteatosis status (Group A—neither sarcopenia nor myosteatosis, Group B—sarcopenia without myosteatosis, Group C—myosteatosis without sarcopenia, and Group D—sarcopenia with myosteatosis).
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Publication 2023
ADAM17 protein, human Anaconda Body Composition Females Males Muscle, Back Muscle Tissue Patients Pharmaceutical Preparations Python Radionuclide Imaging Sarcopenia Skeletal Muscles Vertebrae, Lumbar Wall, Abdominal X-Ray Computed Tomography
Regions of interest (ROIs) were drawn on T2-weighted imaging of different 4 sequences. Then the mean signal intensity of the liver, spleen, and background noise was measured on ROIs on a workstation (aw4.6; GE Healthcare) by 1 radiologist (with 10 years of experience in abdominal radiology). Pay attention to avoiding large blood vessels, bile ducts, and local lesions when drawing the ROIs of the liver and spleen. The ROI of background noise was drawn in the phase encoding direction outside the abdominal wall. The standard deviation of mean signal intensity of the liver, spleen, and background was acquired twice in the same position, and the average value was recorded. The SNR calculation used standard deviation in multiple repeated acquisitions.[13 (link),14 (link)]
Publication 2023
Attention Blood Vessel Duct, Bile Liver Radiography, Abdominal Radiologist Spleen Wall, Abdominal
The elasticity of the abdominal aorta in rats was measured using a VINNO M80 ultrasonic diagnostic instrument with probe X6-16L (frequency 6.5–18 MHz). The main abdominal aorta was identified in the left abdomen of the rats under anesthesia. The abdominal aorta was maintained parallel to the probe to display the long axis of the abdominal aorta. After the position was determined, the “PWV” key was started. The movement track of the abdominal aortic wall on each sampling line was presented on the image in the form of an expansion wave, showing the expansion wave of the movement track of the abdominal aortic wall in at least five stable cardiac cycles. The measuring cursor was used to indicate the position of “trough to trough” in one cardiac cycle. The local PWV, CC, DC, and EP of the vessel wall were measured five times for each measurement. Then, the maximum and minimum values were removed, and the average value of the remaining three times was calculated (Fig. 1).

Ultrasound evaluation of elasticity of rat abdominal aorta (The left panel shows a B-mode image of the scan line, and the right panel shows the pulse of the vessel wall at the position of the scan line in real time Wave spectrum, get at least one cardiac cycle of the pulse wave after freezing)

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Publication 2023
Abdominal Cavity Anesthesia Aorta Aortas, Abdominal Blood Vessel Diagnosis Elasticity Epistropheus Heart Movement Pulse Rate Radionuclide Imaging Ultrasonics Wall, Abdominal
The study included 229 children who underwent emergency surgical treatment for AIO and who had previously (primarily) been operated on: acute appendicitis -137 (59.8%), introsusception -36 (15.7%), blunt abdominal trauma -34 (14.8%), necrotizing enterocolitis -15 (6.5%), liver echinococcosis -5 (2.2%), and Payer’s disease -2 (0.9%). Boys to girls ratio made 1.3:1. The average age of the patients was 9.8±1.7 years old. Group 1 included 116 children, Group 2–113. The study was conducted in the clinical facilities of Stavropol Regional Children’s Clinical Hospital, Grozny Children’s Clinical Hospital No 2, and Makhachkkala Republican Children’s Clinical Hospital.
On children with the signs of AIO, treatment was started with conservative measures in the form of nasogastric intubation, infusion therapy, cleansing, and saline enema. No effect of the conducted treatment was the indication for surgery. The surgical treatment consisted of the elimination of cause of the mechanical intestinal obstruction (dissection of adhesions, untwisting, and laying the sentinel loops in the physiological position, and so on). Children who underwent colostomy were not included in this study.
The author’s method was used for all Group 1 children within the first 4 days of the post-operative period. Then, for up to 5–6 days (11 patients) of the post-operative period, the procedure was continued for the patients that were somewhat difficult to activate due to their young age, degree of severity of the post-operative condition, patient, pronounced predisposition to adhesions.
In the post-operative period, the abdominal brain exposure to the variable magnetic field was used for Group 2 to arrest the intestinal distention. The device “Magniter” was applied to the anterior abdominal wall for 20 min daily during the first 4 days of the post-operative period. From 5 to 15 post-operative days, the control group of patients received electrophoresis with hyaluronidase 64 IU.
During the treatment efficacy assessment, the following criteria were considered: Subjective data (intensity of pain and asthenic syndrome and quality of life); objective data, including the dynamics of symptoms (pain, edema, and hyperemia) and period of the patients staying at the hospital.
The adhesive process in the abdomen was determined using the Androsov, Blonov, and Knokh position specimens. These specimens are based on the creation of the thrust vector during mechanical tractions causing the adhesion tensioning between points of its attachment to various sites of the abdomen. Pain appearance or intensification is clinically determined.
The ultrasound examination of the abdomen was performed on GE Pro series LOGIQ 500 and SonoAce PICO using the curvilinear transabdominal multifrequency transducers within the range from 3.5 to 7.5 MHz. The echostructure of the abdomen, mobility of parietal and visceral peritoneum, “return” symptoms and small bowel dyskinesia in the area of its fixation by adhesives were examined.
Publication 2023
Abdomen Abdominal Cavity Appendicitis Boys Brain Cardiac Arrest Child Cloning Vectors Colostomy Debility Dissection Dyskinesias Echinococcosis, Hepatic Edema Electrophoresis Emergencies Enema Hyaluronidase Hyperemia Injury, Abdominal Intestinal Obstruction Intestines Intestines, Small Intubation, Nasogastric Intussusception Magnetic Fields Medical Devices Necrotizing Enterocolitis Operative Surgical Procedures Pain Patients physiology Range of Motion, Articular Saline Solution Severity, Pain Susceptibility, Disease Syndrome Traction Transducers Treatment, Emergency Ultrasonography Visceral Peritoneum Wall, Abdominal Woman
Abdominal bulging was defined as a prominent convex contour difference in standing position in the infra-umbilical anterior abdominal wall of the donor-site, without a known underlying fascial defect. Abdominal bulging was evaluated by one of the surgeons during physical examination at the outpatient clinic after an average of 7 (range, 1–13) months, assisted with ultrasound sonography or CT when necessary.
Abdominal hernia was defined as a palpable fascial defect with convex contour difference evaluated during physical examination, supported by ultrasound sonography or CT.
Publication 2023
Abdomen Fascia Hernia, Abdominal Physical Examination Surgeons Tissue Donors Ultrasonics Ultrasonography Umbilicus Wall, Abdominal

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More about "Wall, Abdominal"

The abdominal wall is a complex structure composed of skin, fascia, musculature, and peritoneum, spanning from the pelvic brim to the thorax.
Disorders of the abdominal wall include hernias, disfigurement, and weakness.
Optimizing research on abdominal wall conditions can be facilitated by utilizing AI-powered insights from tools like PubCompare.ai, which can locate the latest protocols from literature, preprints, and patents, and provide AI-driven comparisons to identify the best protocols and products for your research needs.
Synonyms and related terms for 'abdominal wall' include 'ventral abdominal wall,' 'anterior abdominal wall,' and 'belly wall.' Abbreviations commonly used include 'AW' and 'AWD' (for 'abdominal wall' and 'abdominal wall disorder,' respectively).
Key subtopics in this area include the anatomy and physiology of the abdominal wall, common pathologies (e.g., hernias, diastasis recti, abdominal compartment syndrome), diagnostic techniques (e.g., physical examination, imaging), and treatment modalities (e.g., surgical repair, conservative management).
When conducting research on abdominal wall conditions, researchers may utilize various tools and materials, such as Matrigel for cell culture, Fast Green for histological staining, Rompun as an anesthetic, and the Aquarius 3D Workstation for advanced imaging.
Animal models, such as C57BL/6 mice, are also commonly employed.
Additionally, surgical sutures like Vicryl and Prolene, as well as anesthetics like Ketanest and Sedazin, may be used in preclinical and clinical studies.