Volumetric analysis of the cranial and nasal cavity from micro-computed tomography scans in the rabbit

• Autorzy: Bakici C. , Akgun R.O. , Ekim O. , Soydal C. , Oto C.
• Języki publikacji: EN

Abstrakty

EN

Background: The aim of the study was to estimate the volume values of the cranial cavity and nasal cavity structures and to compare the efficiency of manual segmentation of three-dimensional reconstruction and Cavalieri’s principle (CP) methodologies. Materials and methods: Volume values of the cranial cavity, maxillary sinus (MS), dorsal conchal sinus (DCS), dorsal nasal meatus (DNM), middle nasal meatus (MNM), ventral nasal meatus (VNM), ventral nasal concha (VNC), middle nasal concha (MNC) and nasal vestibule (NV) were estimated with manual segmentation and CP from micro-computed tomography images in 5 male New Zealand white rabbits. Volume measurements and elapsed time were compared with each other. Three-dimensional reconstruction models of nasal and cranial cavity structures were created. Results: There was a statistically significant difference between methods of the MS, DCS, DNM, MNM, VNM, VNC, and MNC volume measurements. Additionally, there was a statistically significant difference between the volumetric analysis time period of the methods and CP was found much shorter than manual segmentation. Conclusions: Realistic results were achieved in a short time with the CP among the stereology methods. It is thought that these image and quantitative data results can be used for modelling, toxicology and pathology studies such as acute and chronic rhinitis or rhino sinusitis as well as a good understanding of the relationship of the anatomical structures in the nasal cavity. (Folia Morphol 2020; 79, 2: 333–338)

• Wydawca: -
• Czasopismo: Folia Morphologica
• Rocznik: 2020
• Tom: 79
• Numer: 2
• Opis fizyczny: p.333-338,fig.,ref.

Twórcy

autor

Bakici C.

• Department of Anatomy, Faculty of Veterinary Medicine, Ankara University, Ankara, Turkey

autor

Akgun R.O.

• Department of Anatomy, Faculty of Veterinary Medicine, Ankara University, Ankara, Turkey

autor

Ekim O.

• Department of Anatomy, Faculty of Veterinary Medicine, Ankara University, Ankara, Turkey

autor

Soydal C.

• Department of Nuclear Medicine, School of Medicine, Ankara University, Cebeci Hospital, Ankara, Turkey

autor

Oto C.

• Department of Anatomy, Faculty of Veterinary Medicine, Ankara University, Ankara, Turkey

Bibliografia

• 1. Bakici C, Oto C, Ikim O, et al. Comparison of the volume fraction values of grey matter on the cervical enlargement of the spinal cord in chicken and quail. Ankara Univ Vet Fak Derg. 2019; 66(1): 1–6, doi: 10.1501/vetfak_0000002880.
• 2. Brinkschulte M, Bienert-Zeit A, Lüpke M, et al. Using semi-automated segmentation of computed tomography datasets for three-dimensional visualization and volume measurements of equine paranasal sinuses. Vet Radiol Ultrasound. 2013; 54(6): 582–590, doi: 10.1111/vru.12080, indexed in Pubmed: 23890087.
• 3. Cakmak G, Karadag H. A morphological and stereological study on calculating volume values of thoracic segments of geese. Folia Morphol. 2019; 78(1): 145–152, doi: 10.5603/FM.a2018.0115, indexed in Pubmed: 30543082.
• 4. Capello V. Rhinostomy as surgical treatment of odontogenic rhinitis in three pet rabbits. J Exot Pet Med. 2014; 23(2): 172–187, doi: 10.1053/j.jepm.2014.02.005.
• 5. Casteleyn C, Cornillie P, Hermens A, et al. Topography of the rabbit paranasal sinuses as a prerequisite to model human sinusitis. Rhinology. 2010; 48(3): 300–304, doi: 10.4193/Rhin09.193, indexed in Pubmed: 21038020.
• 6. Cherobin GB, Voegels RL, Gebrim EM, et al. Sensitivity of nasal airflow variables computed via computational fluid dynamics to the computed tomography segmentation threshold. PLoS One. 2018; 13(11): e0207178, doi: 10.1371/journal.pone.0207178, indexed in Pubmed: 30444909.
• 7. García-Fiñana M, Cruz-Orive LM, Mackay CE, et al. Comparison of MR imaging against physical sectioning to estimate the volume of human cerebral compartments. Neuroimage. 2003; 18(2): 505–516, doi: 10.1016/s1053-8119(02)00021-6, indexed in Pubmed: 12595203.
• 8. Gundersen HJ, Jensen EB. The efficiency of systematic sampling in stereology and its prediction. J Microsc. 1987; 147(Pt 3): 229–263, doi: 10.1111/j.1365-2818.1987.tb02837.x, indexed in Pubmed: 3430576.
• 9. Ince NG, Pazvant G, Onar V, et al. Volume calculation of the cattle (Bos taurus L.) and the water buffalo (Bos bubalis L.) metapodia with stereologic method. Folia Morphol. 2015; 74(3): 335–339, doi: 10.5603/FM.2015.0050, indexed in Pubmed: 26339814.
• 10. Kapakin S. The paranasal sinuses: three-dimensional reconstruction, photo-realistic imaging, and virtual endoscopy. Folia Morphol. 2016; 75(3): 326–333, doi: 10.5603/FM.a2016.0006, indexed in Pubmed: 26916200.
• 11. Kozerska M, Skrzat J. Anatomy of the fundus of the internal acoustic meatus - micro-computed tomography study. Folia Morphol. 2015; 74(3): 352–358, doi: 10.5603/FM.2015.0053, indexed in Pubmed: 26339817.
• 12. Lennox A. Rhinotomy and Rhinostomy for Surgical Treatment of Chronic Rhinitis in Two Rabbits. J Exot Pet Med. 2013; 22(4): 383–392, doi: 10.1053/j.jepm.2013.10.001.
• 13. Marino MJ, Riley CA, Kessler RH, et al. Clinician assessment of paranasal sinus pneumatization is correlated with total sinus volume. Int Forum Allergy Rhinol. 2016; 6(10): 1088–1093, doi: 10.1002/alr.21779, indexed in Pubmed: 27159784.
• 14. Oto C, Bakici C, Tunca M, et al. Stereological estimation of volume ratios of chest muscle in Atak-s hybrid with Rhode Island Red and Barred Rock pure lines by magnetic resonance imaging. Vet Hekim Der Derg. 2017; 88(2): 3–14.
• 15. Ozen D. Evaluation of concordance between measurement techniques using graphical methods and regression models with an application. Eurasian J Vet Sci. 2018; 34(4): 265–271, doi: 10.15312/EurasianJVetSci.2018.209.
• 16. Ozkadif S, Eken E. Three-dimensional reconstruction of multidetector computed tomography images of paranasal sinuses of New Zealand rabbits. Turk J Vet Anim Sci. 2013; 37: 675–681, doi: 10.3906/vet-1301-53.
• 17. Phillips JE, Ji L, Rivelli MA, et al. Three-dimensional analysis of rodent paranasal sinus cavities from X-ray computed tomography (CT) scans. Can J Vet Res. 2009; 73(3): 205–211, indexed in Pubmed: 19794893.
• 18. Pirner S, Tingelhoff K, Wagner I, et al. CT-based manual segmentation and evaluation of paranasal sinuses. Eur Arch Otorhinolaryngol. 2009; 266(4): 507–518, doi: 10.1007/s00405-008-0777-7, indexed in Pubmed: 18716789.
• 19. Tingelhoff K, Moral AI, Kunkel ME, et al. Comparison between manual and semi-automatic segmentation of nasal cavity and paranasal sinuses from CT images. Conf Proc IEEE Eng Med Biol Soc. 2007; 2007: 5505–5508, doi: 10.1109/IEMBS.2007.4353592, indexed in Pubmed: 18003258.
• 20. Valtonen O, Bizaki A, Kivekäs I, et al. Three-Dimensional volumetric evaluation of the maxillary sinuses in chronic rhinosinusitis surgery. Ann Otol Rhinol Laryngol. 2018; 127(12): 931–936, doi: 10.1177/0003489418801386, indexed in Pubmed: 30244583.
• 21. Van Caelenberg AI, De Rycke LM, Hermans K, et al. Computed tomography and cross-sectional anatomy of the head in healthy rabbits. Am J Vet Res. 2010; 71(3): 293–303, doi: 10.2460/ajvr.71.3.293, indexed in Pubmed: 20187831.
• 22. Xi J, Si XA, Kim J, et al. Anatomical details of the rabbit nasal passages and their implications in breathing, air conditioning, and olfaction. Anat Rec (Hoboken). 2016; 299(7): 853–868, doi: 10.1002/ar.23367, indexed in Pubmed: 27145450.
• 23. Zhang XD, Li ZH, Wu ZS, et al. A novel three-dimensional-printed paranasal sinus-skull base anatomical model. Eur Arch Otorhinolaryngol. 2018; 275(8): 2045–2049, doi: 10.1007/s00405-018-5051-z, indexed in Pubmed: 29959564.

Identyfikatory

DOI

10.5603/FM.a2019.0073