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8. Three-dimensional analysis of reconstructed skulls using three different open-source software versus commercial software.

Author

Yap Abdullah, Johari, Manaf Abdullah, Abdul, Zaim, Syafawati, Hadi, Helmi, Husein, Adam, Ahmad Rajion, Zainul, and Malin Abdullah, Jafri

Abstract

This study aimed to compare the 3D skull models reconstructed from computed tomography (CT) images using three different open-source software with a commercial software as a reference. The commercial Mimics v17.0 software was used to reconstruct the 3D skull models from 58 subjects. Next, two open-source software, MITK Workbench 2016.11, 3D Slicer 4.8.1 and InVesalius 3.1 were used to reconstruct the 3D skull models from the same subjects. All four software went through similar steps in 3D reconstruction process. The 3D skull models from the commercial and open-source software were exported in standard tessellation language (STL) format into CloudCompare v2.8 software and superimposed for geometric analyses. Hausdorff distance (HD) analysis demonstrated the average points distance of Mimics versus MITK was 0.25 mm. Meanwhile, for Mimics versus 3D Slicer and Mimics versus InVesalius, there was almost no differences between the two superimposed 3D skull models with average points distance of 0.01 mm. Based on Dice similarity coefficient (DSC) analysis, the similarity between Mimics versus MITK, Mimics versus 3D Slicer and Mimics versus InVesalius were 94.1, 98.8 and 98.3%, respectively. In conclusion, this study confirmed that the alternative open-source software, MITK, 3D Slicer and InVesalius gave comparable results in 3D reconstruction of skull models compared to the commercial gold standard Mimics software. This open-source software could possibly be used for pre-operative planning in cranio-maxillofacial cases and for patient management in the hospitals or institutions with limited budget. [ABSTRACT FROM AUTHOR]

Published
2024
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16. Determinants of COVID-19 Vaccine Acceptance among Dental Professionals: A Multi-Country Survey

Author

Nassani, Mohammad Zakaria, primary, Noushad, Mohammed, additional, Rastam, Samer, additional, Hussain, Mudassir, additional, Alsalhani, Anas B., additional, Al-Saqqaf, Inas Shakeeb, additional, Alali, Faisal Mehsen, additional, Demachkia, Amir Mohiddin, additional, de Melo, Renata Marques, additional, Arshad, Mohammed, additional, Luddin, Norhayati, additional, Husein, Adam, additional, Qamar, Zeeshan, additional, Koppolu, Pradeep, additional, Darwish, Mahmoud, additional, Nassar, Ahmad Salim Abdalla, additional, Habib, Adnan, additional, Suleyman, Firas, additional, Khanam, H. M. Khuthija, additional, Yousief, Salah A., additional, Al-Maweri, Sadeq Ali, additional, Tabassum, Nafeesa, additional, Samran, Abdulaziz, additional, Dimashkieh, Mohiddin R., additional, Al-Awar, Mohammed Sadeg, additional, and Tarakji, Bassel, additional

Published
2022
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18. Clinical Applications of Artificial Intelligence and Machine Learning in Children with Cleft Lip and Palate—A Systematic Review

Author

Huqh, Mohamed Zahoor Ul, primary, Abdullah, Johari Yap, additional, Wong, Ling Shing, additional, Jamayet, Nafij Bin, additional, Alam, Mohammad Khursheed, additional, Rashid, Qazi Farah, additional, Husein, Adam, additional, Ahmad, Wan Muhamad Amir W., additional, Eusufzai, Sumaiya Zabin, additional, Prasadh, Somasundaram, additional, Subramaniyan, Vetriselvan, additional, Fuloria, Neeraj Kumar, additional, Fuloria, Shivkanya, additional, Sekar, Mahendran, additional, and Selvaraj, Siddharthan, additional

Published
2022
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28. A Global Survey of COVID-19 Vaccine Acceptance Among Healthcare Workers

Author

Noushad, Mohammed, primary, Rastam, Samer, additional, Nassani, Mohammad Zakaria, additional, Al-Saqqaf, Inas Shakeeb, additional, Hussain, Mudassir, additional, Yaroko, Ali Ango, additional, Arshad, Mohammed, additional, Kirfi, Abdullahi Musa, additional, Koppolu, Pradeep, additional, Niazi, Fayez Hussain, additional, Elkandow, Ali, additional, Darwish, Mahmoud, additional, Abdalla Nassar, Ahmad Salim, additional, Abuzied Mohammed, Sami Osman, additional, Abdalrady Hassan, Nasser Hassan, additional, Abusalim, Ghadah Salim, additional, Samran, Abdulaziz, additional, Alsalhani, Anas B, additional, Demachkia, Amir Mohiddin, additional, de Melo, Renata Marques, additional, Luddin, Norhayati, additional, Husein, Adam, additional, Habib, Adnan, additional, Suleyman, Firas, additional, Osman, Hussein Ali, additional, Al-Awar, Mohammed Sadeg, additional, Dimashkieh, Mohiddin R., additional, Swapna, Lingam Amara, additional, Barakat, Ali, additional, and Alqerban, Ali, additional

Published
2022
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43. Effectiveness of the Laser Application in Temporomandibular Joint Disorder: A Systematic Review of 1172 Patients

Author

Zwiri, Abdalwhab, Alrawashdeh, Manal Ahmad, Khan, Mohammad, Ahmad, Wan Muhamad Amir W., Kassim, Nur Karyatee, Ahmed Asif, Jawaad, Suan Phaik, Khoo, Husein, Adam, and Ab-Ghani, Zuryati

Subjects
Article Subject
Abstract

Objective. The aim of this systematic review was to evaluate the effectiveness of laser application in temporomandibular joint disorder. Methods. PubMed, SCOPUS, Science Direct, Web of Science, and Google Scholar electronic databases were searched systematically with restricting the languages to only English and year (January 2001 to March 2020), and studies were selected based on the inclusion criteria. Study quality and publication bias were assessed by using the Robvis, a software package of R statistical software. Results. This systematic review included 32 studies (1172 patients) based on the inclusion and exclusion criteria. Most of the studies reported significant reduction of pain by the use of the laser during TMD treatment. Two-thirds of the study (78.13%) found a better outcome comparing with conventional one. According to Robvis, 84.4% of the studies were high methodological studies with low risk of bias. Conclusion. TMD patients suffer with continuous pain for long time even after conventional treatment. Laser therapy shows a promising outcome of pain reduction for TMD patients. Therefore, laser therapy can be recommended for the TMD patients’ better outcome. This trial is registered with PROSPERO (CRD42020177562).

Published
2020
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44. Cytotoxicity of gypsum-based biomaterial for direct pulp capping using stem cells from human exfoliated deciduous teeth

Author

Subhi, Hasan, Reza, Fazal, Husein, Adam, and Nurul, Asma Abdullah

Subjects
stem cells from human exfoliated deciduous teeth, Chitosan, direct pulp capping, cytotoxicity, Original Article, gypsum
Abstract

Aim: The aim of this study was to evaluate the cytotoxicity effects of experimental gypsum-based biomaterial prepared with various concentrations of chitosan (Gyp-CHT). Materials and Methods: The study was performed using cell viability assay for mitochondrial dehydrogenase activity in stem cells from human exfoliated deciduous teeth (SHED), after 1, 2, and 3 days of exposure to the biomaterial extracts of varying concentrations. Differences in mean cell viability values were assessed by one-way analysis of variance, followed by Dunnett T3 post hoc test for multiple comparisons (P < 0.05). Results: The cell viability to Gyp-CHT in low extract concentrations was statistically similar to that of the control and different from that of high extract concentrations. Gyp-5% CHT showed the highest percentage of cell viability with 110.92%, 108.56%, and 109.11%. The cell viability showed a tendency toward increment with low extract concentration and no constant effect of CHT on cell viability toward higher or lower. Conclusions: Gyp-CHT biomaterial has no cytotoxic effects on the cultured SHED.

Published
2018

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