Abdominal wall morphometric variability based on computed tomography: Influence of age, gender, and body mass index

Autor: Chaumoitre, Kathia, BEGE, Thierry, Jourdan, Arthur, Soucasse, Andrea, Scemama, Ugo, Gillion, Jean, Kathia Chaumoitre,, Masson, Catherine, Thierry Bege,, Club, For
Přispěvatelé: Anthropologie bio-culturelle, Droit, Ethique et Santé (ADES), Aix Marseille Université (AMU)-EFS ALPES MEDITERRANEE-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Biomécanique Appliquée (LBA UMR T24), Aix Marseille Université (AMU)-Université Gustave Eiffel, Service d’imagerie médicale [Hôpital Nord - APHM], Hôpital Nord [CHU - APHM], Aix-Marseille Université (Département d'imagerie Médicale), Hôpital Privé d'Anthony (Unité de Chirurgie Viscérale et Digestive, ), Aix-Marseille Université - Département d'Anthropologie, Aix-Marseille Université - Faculté des Arts, Lettres, Langues et Sciences Humaines (AMU ALLSH), Aix Marseille Université (AMU)-Aix Marseille Université (AMU), Aix Marseille Université (AMU)
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Male
Computed tomography
Body Mass Index
Abdominal wall
0302 clinical medicine
Reference Values
Medicine
ComputingMilieux_MISCELLANEOUS
health care economics and organizations
Abdominal Muscles
Aged
80 and over
2. Zero hunger
0303 health sciences
medicine.diagnostic_test
Anatomic Variation
[SPI.MECA.BIOM]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Biomechanics [physics.med-ph]
General Medicine
Anatomy
Middle Aged
medicine.anatomical_structure
surgical procedures
operative
030220 oncology & carcinogenesis
Muscle
Female
Adult
Histology
Adolescent
education
[SDV.CAN]Life Sciences [q-bio]/Cancer
Young Adult
03 medical and health sciences
Medical imaging
Humans
Aponeurosis
Transversus abdominis
Aged
Retrospective Studies
030304 developmental biology
business.industry
Morphometry
[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation
digestive system diseases
stomatognathic diseases
Linea alba (abdomen)
Internal Oblique Muscle
Tomography
X-Ray Computed
business
Body mass index
Zdroj: Clinical Anatomy
Clinical Anatomy, Wiley, 2020, ⟨10.1002/ca.23548⟩
Clinical Anatomy, Wiley, 2020, 33 (8), pp.1110-1119. ⟨10.1002/ca.23548⟩
Clinical Anatomy, 2020, ⟨10.1002/ca.23548⟩
Clinical Anatomy, 2020, 33 (8), pp.1110-1119. ⟨10.1002/ca.23548⟩
ISSN: 0897-3806
1098-2353
DOI: 10.1002/ca.23548⟩
Popis: International audience; IntroductionVentral hernia surgery does not usually account for the individuality of the abdominal wall anatomy. This could be both because medical imaging is rarely performed before surgery and because data on abdominal wall variability are limited. The objective of the present study was to perform an exhaustive morphometric analysis of abdominal wall components based on computed tomography (CT) scans.Materials and MethodsA retrospective study was performed on 120 abdominopelvic CT scans of clinically normal adults aged 18–86 years equally divided between women and men and into four age groups. Each abdominal wall muscle was evaluated in terms of area, thickness, shape ratio, fat infiltration, and aponeuroses width. The influence of age, gender, and body mass index (BMI) was investigated, as well as muscular asymmetry.ResultsThe abdominal wall muscle area represented 8.5 ± 2.5% of the abdominal area. The internal oblique muscle had the largest area, the rectus abdominis was the thickest, the transversus abdominis was the narrowest and had the smallest area. The width of the linea alba was 20.3 ± 12.0 mm. The evolution of the abdominal wall with age was quantified, as well as the large differences between the sexes and BMI groups, resulting in strong correlations and highlighting the specific pattern of the transversus abdominis. The asymmetry of the left and right muscle areas oscillated around 17%.ConclusionsThe various components of the abdominal wall have been precisely described. Knowledge of their variability could be used to enhance the planning of ventral hernia surgery or to develop numerical modeling of the abdominal wall.
Databáze: OpenAIRE
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