Nimet Turgut

Dr. Nimet Turgut

Veterinary Anatomy, Selçuk University, Konya, Turkey (Türkiye)
orcid

Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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20 October 2022 in Veterinary Radiology & Ultrasound
Verified
Journal Article
Closed access
Nimet TurgutNimet Turgut
Nimet Turgut
SBSadullah Bahar
Sadullah Bahar
AKAbidin Kılınçer
Abidin Kılınçer

29 August 2019 in Folia Morphologica
Verified
Journal Article
Open access
PDF file
MDMustafa Orhun Dayan
Mustafa Orhun Dayan
KBKamil Beşoluk
Kamil Beşoluk
EEEmrullah Eken
Emrullah Eken
SASedat Aydoğdu
Sedat Aydoğdu
Nimet TurgutNimet Turgut
Nimet Turgut
Background: Guinea pig is a species belonging to the Caviidae family of the Rodentia order and is frequently used in experimental studies. Biomedical imaging methods are used in the diagnosis and treatment of many diseases in medicine. Among these methods, computed tomography (CT) is one of the most important imaging methods. In this study, it was aimed to perform the three-dimensional modelling of the CT images, obtained from the humerus and femur in the guinea pigs, via the MIMICS programme and to make some biometric measurements regarding the bones over these models. Materials and methods: In the present study, 12 male adult guinea pigs were used. The soft tissue on humerus and femur bones of the guinea pigs was removed. After this procedure, CT images at a 0.5 mm-thickness were obtained from the animals. The images were recorded in DICOM format. Then, the reconstruction process was performed from the images by using the three-dimensional modelling programme MIMICS® 13.1. On the 3D model of the humerus and femur (right-left), volumes, surface areas and lengths as well as other biometric parameters were measured separately, and the values were recorded. In addition, measurements of the bones were made by the help of a digital calliper. Results: Among the parameters obtained from 3D models, a statistical difference is observed between the right and left cortex thicknesses of the femur from the measurements of calliper and the right and left humerus volumes (p0.05). Conclusions: It can be stated that CT and 3D modelling can be used for the measurement of some parameters in the long bones of the guinea pigs. Background: Guinea pig is a species belonging to the Caviidae family of the Rodentia order and is frequently used in experimental studies. Biomedical imaging methods are used in the diagnosis and treatment of many diseases in medicine. Among these methods, computed tomography (CT) is one of the most important imaging methods. In this study, it was aimed to perform the three-dimensional modelling of the CT images, obtained from the humerus and femur in the guinea pigs, via the MIMICS programme and to make some biometric measurements regarding the bones over these models. Materials and methods: In the present study, 12 male adult guinea pigs were used. The soft tissue on humerus and femur bones of the guinea pigs was removed. After this procedure, CT images at a 0.5 mm-thickness were obtained from the animals. The images were recorded in DICOM format. Then, the reconstruction process was performed from the images by using the three-dimensional modelling programme MIMICS® 13.1. On the 3D model of the humerus and femur (right-left), volumes, surface areas and lengths as well as other biometric parameters were measured separately, and the values were recorded. In addition, measurements of the bones were made by the help of a digital calliper. Results: Among the parameters obtained from 3D models, a statistical difference is observed between the right and left cortex thicknesses of the femur from the measurements of calliper and the right and left humerus volumes (p0.05). Conclusions: It can be stated that CT and 3D modelling can be used for the measurement of some parameters in the long bones of the guinea pigs.

29 June 2020 in Physical Education of Students
Verified
Journal Article
Open access
PDF file
KEKenan Erdağı
Kenan Erdağı
OTOsman Tüfekci
Osman Tüfekci
MYMustafa Yeşeri
Mustafa Yeşeri
MYMehmet Yüksel
Mehmet Yüksel
Nimet TurgutNimet Turgut
Nimet Turgut
BEBurak E. Eroğlu
Burak E. Eroğlu
Background and Study Aim: Handgrip strength is widely accepted as a functionality parameter to assess upper extremity performance. The measurement of hand grip strength by dynamometry is a low cost, non-invasive method of simple applicability. The present study is based on the association of dominant and non-dominant handgrip strength with demographic and anthropometric characteristics; height, body weight, body mass index, upper arm length, forearm length, hand length, forearm circumference, upper arm circumference. Material and Methods: The study included 70 male athletes in olympic style weightlifting (age: 18.06±2.18, height:1.74±.06 m, body weight: 76.09±13.04 kg). A total of 70 sedentary individuals as a control group (age 18.11±.18, height:1.75±.04 m, body weight: 74.01±13.94 kg) were also taken to compare study findings. The data obtained was analyzed by SPPS for Windows, version 25. Handgrip strength measurements were obtained by a Jamar dynamometer, according to the recommendations of the American Association of Hand Therapists. Results: It was found that the values of dominant and non-dominant handgrip strength, upper arm circumference and forearm circumference length of the weightlifting athletes were higher than those of sedentary individuals (p<.001). No asymmetry was observed in dominant and non-dominant handgrip strength values of the athletes and sedentary individuals. The correlations were noted between dominant and non-dominant handgrip strength values of weightlifting athletes and demographic characteristics, some anthropometric characteristics of upper extremity and weightlifting performance. Conclusion: The variability of handgrip strength might largely be explained by some anthropometric characteristics of upper extremity.

1 January 2019 in Archives of Veterinary Science and Medicine
Verified
Journal Article
Open access
KBKamil Besoluk
Kamil Besoluk
MDMustafa Orhun Dayan
Mustafa Orhun Dayan
EEEmrullah Eken
Emrullah Eken
Nimet TurgutNimet Turgut
Nimet Turgut
SASedat Aydogdu
Sedat Aydogdu

4 November 2023 in Anatomia, Histologia, Embryologia
Verified
Journal Article
Closed access
Nimet TurgutNimet Turgut
Nimet Turgut
SBSadullah Bahar
Sadullah Bahar
AKAbidin Kılınçer
Abidin Kılınçer

15 October 2025 in Veterinary Medicine and Science
Verified
Journal Article
Open access
Nimet TurgutNimet Turgut
Nimet Turgut
Background: Although extensive research has been conducted on paranasal sinuses across various human populations and animal species, studies focusing on dogs remain relatively scarce. Purpose: This study aimed to characterise the anatomical and morphometric structure of canine paranasal sinuses utilising computed tomography (CT) cross‐sectional imaging and three‐dimensional (3D) reformatted models. Methods: In this study, CT images of 14 clinically normal dogs (7 females, 7 males) with a mean age of 6.2 ± 4.3 years were analysed. The localisation and boundaries of the paranasal sinuses, as well as the orientation and morphology of sinonasal openings, were identified through cross‐sectional imaging, whereas morphometric characteristics were evaluated using 3D models. Results: Despite variations in shape among all examined animals, the paranasal sinuses bilaterally consisted of maxillary recess (MR) and frontal sinus (FS) (rostral, medial and lateral). In one 4‐year‐old male, the rostral FS was absent. The MR exhibited a volume of 4 cm 3 and a surface area of 26 cm 2 . The lateral FS was the largest, accounting for 90% of total sinus volume and 78% of total surface area in both sexes, whereas the medial FS was the smallest, with respective ratios of 3% and 8%. The MR was identified as the most symmetrically positioned sinus, whereas the medial FS displayed the highest degree of asymmetry. In females, the right lateral FS had a significantly larger surface area than the left. No correlation was found between age and sinus morphometry. Conclusion: Although this study was conducted on animals of certain age and sex, without considering breed‐specific characteristics, the findings contribute to a more detailed understanding of the cross‐sectional and reconstructive anatomy of the region. Moreover, these preliminary reference data may aid radiologists and clinicians in diagnosing sinonasal diseases.