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Monoamine oxidase inhibitory naphthoquinone and/or naphthalene dimers from Lemuni Hitam (Diospyros sp.), a Malaysian herbal medicine

Okuyama E, Homma M, Satoh Y, Fujimoto H, Ishibashi M, Yamazaki M, et al.

Chem Pharm Bull (Tokyo), 1999 Oct;47(10):1473-6.
PMID: 10553643

From the extract of a Malaysian herbal medicine, Lemuni Hitam (Diospyros sp.), which exhibited monoamine oxidase (MAO) inhibition, three new naphthoquinone and/or naphthalene dimers (lemuninols A-C, 1-3) were isolated together with 4,6-dihydroxy-5-methoxy-2-methyl-naphthalene (8) and six known monomers (4-7, 9 and 10). The structures were determined by spectroscopic methods including 2D-NMR techniques. Among them, lemuninol A showed 45% inhibition of MAO (mouse liver) at 5.0 x 10(-6) g/ml, and lemuninols B and C and a naphthoquinone (9) indicated weak activity. Some related quinones were also tested for their MAO inhibitory activities.
Fulltext Odontogenic myxoma: A clinicopathological study over 15 years and immunohistochemical analysis

Juengsomjit R, Arayasantiparb R, Ghazali AB, Kosanwat T

Heliyon, 2024 Oct 30;10(20):e39158.
PMID: 39640765 DOI: 10.1016/j.heliyon.2024.e39158

OBJECTIVE: and rationale: Odontogenic myxoma is an uncommon odontogenic tumor with locally aggressive behavior. The clinicopathological studies of odontogenic myxoma in Asian countries are very limited and only few studies have investigated the immunohistochemical profiles of the tumor. This study aims to investigate the clinicopathological and immunohistochemical features of odontogenic myxoma at the Faculty of Dentistry, Mahidol University over a 15-year period.
METHODS: Archives of our institute were reviewed. Cases diagnosed as odontogenic myxoma were retrieved. Demographic, clinical, radiographic, and histopathological features of these cases were analyzed. In addition, immunohistochemical markers including vimentin, Ki-67, Bcl-2, and CD117 were performed. The correlation between immunohistochemical profiles and clinicopathological characteristics was evaluated.
RESULTS: Sixteen cases of odontogenic myxoma were discovered. Fourteen cases were central type while two cases were peripheral type. The mean age of patients was 34.6 years with male-to-female ratio of 1:2.2. Mandible (68.8 %) was more affected than the maxilla (31.2 %). Bony expansion or jaw swelling (43.8 %) was the most common clinical feature. Most cases (71.4 %) presented with multilocular radiolucency. Histopathologically, tumors show stellate and spindle-shaped cells in a myxoid stroma with varying amounts of collagen fiber. All cases were positive for vimentin and Bcl-2. Half of the cases showed positive for Ki-67. Mast cells were presented in most cases (75.0 %). A significant correlation was found between the immunoexpression level of Bcl-2 and border of lesion in radiograph (p = 0.024).
CONCLUSIONS: This study contributes to better understanding of the characteristics of odontogenic myxoma. Clinicians and pathologists should be aware of odontogenic myxoma, as its clinical and histopathological features may overlap with other tumors. The expression of Bcl-2 and presence of mast cell in this tumor may relate to its growth and aggressiveness. Despite its benign nature, odontogenic myxoma exhibits high recurrence, especially in lesion managed conservatively.
Fulltext Ostiomeatal complex inflammation with a rare ethmoid sinolith utilizing cone-beam computed tomography: A clinical and radiological approach to diagnosis

Nurrachman AS, Rahman FUA, Sarifah N, Ghazali AB, Epsilawati L

Radiol Case Rep, 2024 Jan;19(1):268-276.
PMID: 38028316 DOI: 10.1016/j.radcr.2023.10.035

A 28-year-old female patient was referred for panoramic radiography during a regular dental check-up. The dentist pointed out an additional suspicion of odontogenic maxillary sinusitis as she had complained of nasal obstruction, nasal discharge, postnasal drip, and frontal headache at the time. In this present case, cone-beam computed tomography (CBCT) imaging modality was utilized to evaluate the paranasal sinuses and detect any pathologic signs. This study aims to highlight the potential value of the modality for the identification of paranasal sinus diseases by presenting a rare finding of an ethmoid sinolith associated with a persistent ostiomeatal complex inflammation. The insufficient data currently available on the incidence of ethmoid sinoliths emphasize the significance of reports intended to inform practitioners about the imaging properties of these calcifications. To the author's knowledge, this is the first case report that demonstrated the primary utilization of dental CBCT in detecting ethmoid sinolith in a straightforward manner.
Fulltext Convolutional neural networks for automated tooth numbering on panoramic radiographs: A scoping review

Putra RH, Astuti ER, Nurrachman AS, Putri DK, Ghazali AB, Pradini TA, et al.

Imaging Sci Dent, 2023 Dec;53(4):271-281.
PMID: 38174035 DOI: 10.5624/isd.20230058

PURPOSE: The objective of this scoping review was to investigate the applicability and performance of various convolutional neural network (CNN) models in tooth numbering on panoramic radiographs, achieved through classification, detection, and segmentation tasks.
MATERIAL AND METHODS: An online search was performed of the PubMed, Science Direct, and Scopus databases. Based on the selection process, 12 studies were included in this review.
RESULTS: Eleven studies utilized a CNN model for detection tasks, 5 for classification tasks, and 3 for segmentation tasks in the context of tooth numbering on panoramic radiographs. Most of these studies revealed high performance of various CNN models in automating tooth numbering. However, several studies also highlighted limitations of CNNs, such as the presence of false positives and false negatives in identifying decayed teeth, teeth with crown prosthetics, teeth adjacent to edentulous areas, dental implants, root remnants, wisdom teeth, and root canal-treated teeth. These limitations can be overcome by ensuring both the quality and quantity of datasets, as well as optimizing the CNN architecture.
CONCLUSION: CNNs have demonstrated high performance in automated tooth numbering on panoramic radiographs. Future development of CNN-based models for this purpose should also consider different stages of dentition, such as the primary and mixed dentition stages, as well as the presence of various tooth conditions. Ultimately, an optimized CNN architecture can serve as the foundation for an automated tooth numbering system and for further artificial intelligence research on panoramic radiographs for a variety of purposes.