J 2023

The Influence of Slice Thickness, Sharpness, and Contrast Adjustments on Inferior Alveolar Canal Segmentation on Cone-Beam Computed Tomography Scans: A Retrospective Study

ISSA, Julien, Abanoub RIAD, Raphael OLSZEWSKI a Marta DYSZKIEWICZ-KONWINSKA

Základní údaje

Originální název

The Influence of Slice Thickness, Sharpness, and Contrast Adjustments on Inferior Alveolar Canal Segmentation on Cone-Beam Computed Tomography Scans: A Retrospective Study

Autoři

ISSA, Julien, Abanoub RIAD (818 Egypt, domácí), Raphael OLSZEWSKI a Marta DYSZKIEWICZ-KONWINSKA

Vydání

Journal of Personalized Medicine, Basel, MDPI, 2023, 2075-4426

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

30304 Public and environmental health

Stát vydavatele

Švýcarsko

Utajení

není předmětem státního či obchodního tajemství

Odkazy

Impakt faktor

Impact factor: 3.508 v roce 2021

Kód RIV

RIV/00216224:14110/23:00132987

Organizační jednotka

Lékařská fakulta

UT WoS

001095495300001

Klíčová slova anglicky

diagnostic imaging; X-rays; cone-beam computed tomography; mandibular canal; tomography

Štítky

Příznaky

Mezinárodní význam, Recenzováno
Změněno: 12. 1. 2024 14:28, Mgr. Tereza Miškechová

Anotace

V originále

This retrospective study aims to investigate the impact of cone-beam computed tomography (CBCT) viewing parameters such as contrast, slice thickness, and sharpness on the identification of the inferior alveolar nerve (IAC). A total of 25 CBCT scans, resulting in 50 IACs, were assessed by two investigators using a three-score system (good, average, and poor) on cross-sectional images. Slice thicknesses of 0.25 mm, 0.5 mm, and 1 mm were tested, along with varying sharpness (0, 6, 8, and 10) and contrast (0, 400, 800, and 1200) settings. The results were statistically analyzed to determine the optimal slice thickness for improved visibility of IAC, followed by evaluating the influence of sharpness and contrast using the optimal thickness. The identified parameters were then validated by performing semi-automated segmentation of the IACs and structure overlapping to evaluate the mean distance. Inter-rater and intra-rater reliability were assessed using Kappa statistics, and inferential statistics used Pearson's Chi-square test. Inter-rater and intra-rater reliability for all parameters were significant, ranging from 69% to 83%. A slice thickness of 0.25 mm showed consistently "good" visibility (80%). Sharpness values of zero and contrast values of 1200 also demonstrated high frequencies of "good" visibility. Overlap analysis resulted in an average mean distance of 0.295 mm and a standard deviation of 0.307 mm across all patients' sides. The study revealed that a slice thickness of 0.25 mm, zero sharpness value, and higher contrast value of 1200 improved the visibility and accuracy of IAC segmentation in CBCT scans. The individual patient's characteristics, such as anatomical variations, decreased bone density, and absence of canal walls cortication, should be considered when using these parameters.