Article Abstract

Volume 33, No. (4), 2023 (August)
CRANIOMETRIC COMPARISONS OF THE SKULL OF MALE AND FEMALE MALAKLI DOGS USING 3-DIMENSIONAL IMAGING: A COMPUTED TOMOGRAPHY (CT) STUDY
Baris Can Güzel, Saime Betül Baygeldi, Ismail Demircioglu, ramazan ilgün, zait ender Özkan

B. C. Güzel¹*, S. B. Baygeldi², I. Demircioglu³, r. ilgün⁴, z. e. Özkan⁵

¹ firat üniversity,
² firat üniversity,
³ Harran üniversity,
⁴ aksaray üniversity,
⁵ firat üniversity,

Corresponding Author: bcguzel@hotmail.com
Page Number(s): 949-957
Published Online First: April 15, 2023
Publication Date: August 04, 2023
ABSTRACT

The skull is an important anatomical structure to discern dog breeds and wolves from dogs. For this purpose, skull morphology and some morphometric measurements of Malakli dogs, a local breed in the Aksaray region, were examined. Thirty-one distances were measured, and the skulls, which were computerized tomography, were converted into three-dimensional (3D) images in fourteen skulls (7 male-7 and female) of adult dogs. Different morphological features and statistical findings that were not revealed by taking measurements from 30 distinct anatomical points of Aksaray Malakli dog skull bones were determined in accordance with the literature. It was determined that males were greatest than females in most of the osteometric measurements as well as in surface area and volume measurements. Through examination of the cranial morphometric characteristics and 3D images of Aksaray Malakli dogs, the results of this study demonstrated differences between the sexes. In addition to showing some similarities to the cranial structure of several carnivores, there are also some different anatomic characteristics.

Keywords: 3D modeling, Computed tomography, Craniometric, Malakli dog

Indexing

Web of Science (SCIE)

SCOPUS (Q3)

Status

Journal Metrics

Journal Impact Factor: 0.5 | (JCR Year: 2025) | Cite Score: 1.3

HEC Category: W

Current

ISSN Details

Print ISSN: 1018-7081

Electronic ISSN: 2309-8694

Verified
Search the Journal

Use the fields below to search for articles by Title, Author, or Keywords.