Comparison of two different software programs for three-dimensional analysis of carotid atherosclerosis: A retrospective CBCT study

Yıl 2022, , 280 - 285, 19.09.2022

Nagihan Koç

https://doi.org/10.54617/adoklinikbilimler.1108052

Öz

Aim: The present study aimed to compare two different CBCT software packages, Mimics Medical and 3D-DOCTOR, in performing the volume and areal measurements of extra-cranial carotid artery calcifications (ECACs).
Material and Methods: A total of 44 scans were evaluated. The calcifications were categorized as unilateral or bilateral. Volumetric and areal measurements of ECACs were done with the two software programs. Intraclass correlation coefficient (ICC) was used to evaluate the intra-observer reliability. The difference in measurements between two software groups was evaluated with the t-test.
Results: The ECACs were unilateral in 24 cases and bilateral in 20 cases. There were 25 females and 19 males and the mean age of the sample was 63.31 ± 10.21 years. The overall mean volume obtained with Mimics software was 52.97 ± 48.97 mm3 while that obtained with 3D-DOCTOR software was 39.70 ± 34.40 mm3 (P=0.001). Similarly, significant differences between Mimics (109.55 ± 85.40 mm2) and 3D-DOCTOR (98.99 ± 75.34 mm2) software programs were observed for areal measurements (P=0.001).
Conclusion: Although high agreement rates were observed in repeated measurements among two software programs, volumetric and areal measures of the ECACs obtained with Mimics Medical were higher than those obtained with 3D-DOCTOR.

Anahtar Kelimeler

Atherosclerosis, Carotid artery, Cone-beam computed tomography

Karotis aterosklerozunun üç boyutlu analizinde iki farklı yazılım programının karşılaştırılması: Retrospektif bir KIBT çalışması

Öz

Amaç: Bu çalışmada, ekstrakraniyal karotis arter kalsifikasyonu (EKAK) hacim ve alan ölçümlerinde, iki farklı konik ışınlı bilgisayarlı tomografi (KIBT) yazılım paketinin, Mimics Medical ve 3D-DOCTOR'un, karşılaştırılması amaçlandı.
Gereç ve Yöntem: Toplam 44 görüntü değerlendirildi. Kalsifikasyonlar tek taraflı veya iki taraflı olarak sınıflandırıldı. EKAK'ların hacim ve alan ölçümleri iki yazılım programı ile gerçekleştirildi. Gözlemci içi güvenirliği değerlendirmek için sınıf içi korelasyon katsayısı (SKK) kullanıldı. İki yazılım grubu arasındaki ölçüm farkı t-testi ile değerlendirildi.
Bulgular: Kalsifikasyonlar, 24 vakada tek taraflı ve 20 vakada iki taraflıydı. 25 kadın ve 19 erkek hastadan oluşan örneklemin yaş ortalaması 63.31 ± 10.21 yıl idi. Mimics yazılımı ile elde edilen ölçümlerde ortalama hacim 52.97 ± 48.97 mm3 iken 3D-DOCTOR yazılımı ile elde edilen hacim 39.70 ± 34.40 mm3 olarak tespit edildi (P=0.001). Benzer şekilde Mimics (109.55 ± 85.40 mm2) ve 3D-DOCTOR (98.99 ± 75.34 mm2) yazılım programları arasında alansal ölçümler için önemli farklılıklar gözlendi (P=0.001).
Sonuç: İki yazılım programı arasında tekrarlanan ölçümlerde yüksek uyum oranları gözlemlenmesine rağmen, Mimics Medical ile elde edilen EKAK hacim ve alan ölçümleri, 3D-DOCTOR ile elde edilenlerden daha yüksekti.

Anahtar Kelimeler

Ateroskleroz, Karotis arter, Konik ışınlı bilgisayarlı tomografi

Kaynakça

• Mughal MM, Khan MK, DeMarco JK, Majid A, Shamoun F, Abela GS. Symptomatic and asymptomatic carotid artery plaque. Expert Rev Cardiovasc Ther 2011;9:1315-30.
• Jashari F, Ibrahimi P, Johansson E, Ahlqvist J, Arnerlöv C, Garoff M, et al Atherosclerotic Calcification Detection: A Comparative Study of Carotid Ultrasound and Cone Beam CT. Int J Mol Sci 2015;16:19978-88.
• Gaul JJ, Marks SJ, Weinberger J. Visual disturbance and carotid artery disease. 500 symptomatic patients studied by non-invasive carotid artery testing including B-mode ultrasonography. Stroke 1986;17:393-8.
• Hollander M, Bots ML, Del Sol AI, Koudstaal PJ, Witteman JC, Grobbee DE, et al. Carotid plaques increase the risk of stroke and subtypes of cerebral infarction in asymptomatic elderly: the Rotterdam study. Circulation 2002;105:2872-7.
• Rothwell PM, Eliasziw M, Gutnikov SA, Fox AJ, Taylor DW, Mayberg MR, et al. Analysis of pooled data from the randomised controlled trial of endarterectomy for symptomatic carotid stenosis. Lancet 2003;361:107-16.
• Brinjikji W, Huston J 3rd, Rabinstein AA, Kim GM, Lerman A, Lanzino G. Contemporary carotid imaging: from degree of stenosis to plaque vulnerability. J Neurosurg 2016;124:27-42.
• Damaskos S, Tsiklakis K, Syriopoulos K, van der Stelt P. Extra-and intra-cranial arterial calcifications in adults depicted as incidental findings on cone beam CT images. Acta Odontol Scand 2015;73:202-9.
• Mutalik S, Tadinada A. Assessment of relationship between extracranial and intracranial carotid calcifications-a retrospective cone beam computed tomography study. Dentomaxillofac Radiol 2019;48:20190013.
• Damaskos S, Aartman IH, Tsiklakis K, van der Stelt P, Berkhout WE. Association between extra- and intracranial calcifications of the internal carotid artery: a CBCT imaging study. Dentomaxillofac Radiol 2015;44:20140432.
• Friedlander AH, Lande A. Panoramic radiographic identification of carotid arterial plaques. Oral Surg Oral Med Oral Pathol 1981;52:102-4.
• Garoff M, Johansson E, Ahlqvist J, Arnerlöv C, Levring Jäghagen E, Wester P. Calcium quantity in carotid plaques: detection in panoramic radiographs and association with degree of stenosis. Oral Surg Oral Med Oral Pathol Oral Radiol 2015;120:269-74.
• Damaskos S, da Silveira HL, Berkhout EW. Severity and presence of atherosclerosis signs within the segments of internal carotid artery: CBCT's contribution. Oral Surg Oral Med Oral Pathol Oral Radiol 2016;122:89-97.
• Mirjalili SA, McFadden SL, Buckenham T, Stringer MD. Vertebral levels of key landmarks in the neck. Clin Anat 2012;25:851-7.
• Scarfe WC, Farman AG. Soft tissue calcifications in the neck: Maxillofacial CBCT presentation and significance. AADMRT Currents 2010;2:3-15.
• Angelopoulos C. Cone beam tomographic imaging anatomy of the maxillofacial region. Dent Clin North Am 2008;52:731-2.
• Garcia-Usó M, Lima TF, Trindade IEK, Pimenta LAF, Trindade-Suedam IK. Three-dimensional tomographic assessment of the upper airway using 2 different imaging software programs: A comparison study. Am J Orthod Dentofacial Orthop 2021;159:217-23.
• Adisen MZ, Keles A, Yorubulut S, Nalcaci R. Age estimation by measuring maxillary canine pulp/tooth volume ratio on cone beam CT images with two different voxel sizes. Aust J Forensic Sci 2020;52:71-82.
• Altug HA, Coskun AT, Kamburoglu K, Zerener T, Gulen O, Sencimen M, et al. Volumetric Evaluation of Safe Zone for Bone Harvesting From Symphysis Region by Using Cone Beam Computed Tomography. Implant Dent 2016;25:758-61.
• Akbulut N, Kurşun Çakmak E, Bayrak S. Assessment of Maxillary Sinus Changes After Le Fort I Osteotomy Surgery. J Craniofac Surg 2020;31:e497-e501.
• Kamburoğlu K, Acar B, Yüksel S, Paksoy CS. CBCT quantitative evaluation of mandibular lingual concavities in dental implant patients. Surg Radiol Anat 2015;37:1209-15.
• Tayman MA, Kamburoğlu K, Küçük Ö, Ateş F, Günhan M. Comparison of linear and volumetric measurements obtained from periodontal defects by using cone beam-CT and micro-CT: an in vitro study. Clin Oral Investig 2019;23:2235-44.
• Sönmez G, Koç C, Kamburoğlu K. Accuracy of linear and volumetric measurements of artificial ERR cavities by using CBCT images obtained at 4 different voxel sizes and measured by using 4 different software: an ex vivo research. Dentomaxillofac Radiol 2018;47:20170325.
• Zhao H, Li Y, Xue H, Deng ZH, Liang WB, Zhang L. Morphological analysis of three-dimensionally reconstructed frontal sinuses from Chinese Han population using computed tomography. Int J Legal Med 2021;135:1015-23.
• Zhou Y, Li JP, Lv WC, Ma RH, Li G. Three-dimensional CBCT images registration method for TMJ based on reconstructed condyle and skull base. Dentomaxillofac Radiol 2018;47:20170421.
• Lo Giudice A, Quinzi V, Ronsivalle V, Farronato M, Nicotra C, Indelicato F, et al. Evaluation of Imaging Software Accuracy for 3-Dimensional Analysis of the Mandibular Condyle. A Comparative Study Using a Surface-to-Surface Matching Technique. Int J Environ Res Public Health 2020;17:4789.
• Lo Presti G, Carbone M, Ciriaci D, Aramini D, Ferrari M, Ferrari V. Assessment of DICOM Viewers Capable of Loading Patient-specific 3D Models Obtained by Different Segmentation Platforms in the Operating Room. J Digit Imaging 2015;28:518-27.
• Moradi M, Mahdavi MMB, Nogourani MK. The Relation of Calcium Volume Score and Stenosis of Carotid Artery. J Stroke Cerebrovasc Dis 2020;29:104493.
• Saba L, Sanfilippo R, Sannia S, Anzidei M, Montisci R, Mallarini G, et al. Association Between Carotid Artery Plaque Volume, Composition, and Ulceration: A Retrospective Assessment With MDCT. AJR Am J Roentgenol 2012;199:151-6.
• Rozie S, de Weert TT, de Monyé C, Homburg PJ, Tanghe HL, Dippel DW, et al. Atherosclerotic plaque volume and composition in symptomatic carotid arteries assessed with multidetector CT angiography; relationship with severity of stenosis and cardiovascular risk factors. Eur Radiol 2009;19:2294-2301.
• de Weert TT, de Monyé C, Meijering E, Booij R, Niessen WJ, Dippel DW, et al. Assessment of atherosclerotic carotid plaque volume with multidetector computed tomography angiography. Int J Cardiovasc Imaging 2008;24:751-9.