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  1. Pandarathodiyil AK, Sivapathasundharam B
    J Oral Maxillofac Pathol, 2023;27(4):616-621.
    PMID: 38304527 DOI: 10.4103/jomfp.jomfp_470_23
    A superficial mucocele is a unique variant of a mucocele of the oral cavity that was described by Eveson for the first time in 1988. It occurs due to subepithelial extravasation of sialomucin at the epithelial-connective tissue interface and is related to damage of the minor salivary gland ducts. Clinically, they appear as small, asymptomatic, clear, tense vesicles with a predilection for the soft palate, retromolar pads, and posterior buccal mucosa. They are reported to occur more frequently in women than in men. Before Eveson endeavoured to describe these rather peculiar lesions, they were often misdiagnosed as vesiculobullous lesions such as bullous lichen planus, mucous membrane pemphigoid, and the like. It is incumbent on the present-day pathologist to be cognizant of the presence of these entities as it could present a formidable diagnostic challenge otherwise. This review gives an updated account on the etiology, prevalence, clinical features, differential diagnosis, and management of superficial mucoceles.
  2. Sivapathasundharam B, Einstein A, Syed RI
    Indian J Dent Res, 2007 10 17;18(4):218-21.
    PMID: 17938502
    In the recent World Health Organization classification of odontogenic tumours, desmoplastic ameloblastoma has been characterized as a variant of ameloblastoma, with specific clinical, radiographical, and histological features. Till date, 145 cases have been reported in Japanese, Chinese, Malaysian, Western, and African populations, with very few cases described in Indians. Here, we report five cases in the Indian population. The male to female ratio was 3:2. The mean age at diagnosis was 33.2 years. Four of the tumours were located in the maxilla, in the anterior premolar region. The lone mandibular tumour was located anteriorly, crossing the midline. Three of the tumours had a mixed radiologic appearance with poorly defined borders. Unilocular change was seen in one of them. Two tumours presented as unilocular radiolucencies with specks of radiopacities and well-circumscribed borders. Histologically, irregular odontogenic islands, with a stretched-out 'kite-tail' appearance, were seen in a dense desmoplastic stroma. The peripheral layer of the epithelial islands was made up of flattened cells and the inner core was made up of spindle-shaped and, in some instances, squamous-shaped cells. In two cases, odontogenic epithelium in the form of follicles, typical of solid/multicystic ameloblastoma, was seen and these were typed as 'hybrid' variants. All the cases were treated by resection.
  3. Donald PM, George R, Sriram G, Kavitha B, Sivapathasundharam B
    J Cytol, 2013 Oct;30(4):252-6.
    PMID: 24648669 DOI: 10.4103/0970-9371.126655
    The present study was undertaken as a baseline study to evaluate the nuclear diameter (ND), cell diameter (CD) and nuclear-cytoplasmic ratio (N:C) and their variation with age in normal buccal smears of female subjects.
  4. Pandarathodiyil AK, Vijayan SP, Sivapathasundharam B
    J Oral Maxillofac Pathol, 2023;27(2):254-256.
    PMID: 37854909 DOI: 10.4103/jomfp.jomfp_65_23
    A 'Letter to the Editor' is an abbreviated form of communication where 'readers' can express their carefully considered scientific opinion about a recently published article in a journal. It is considered as 'post-publication peer review'. There are certain things that a letter writer and the 'editor' need to keep in mind while writing a 'Letter' for a journal. The 'editor' needs to curate the contents of the 'Letter' and make sure that there are no misinformation shared. The formatting, type, scope and the scientific quality of the 'Letter' depend on the journal that publishes them, and hence, different publications may require their 'letter writers' to present the information that they want in a certain way. The following article reflects an overview of the role of editors and writers, guidelines, scope, and format of the 'Letter to the Editor'.
  5. Krishnan Pandarathodiyil A, Shree K H, Ramani P, Sivapathasundharam B, Ramadoss R
    J Oral Biol Craniofac Res, 2025;15(2):288-296.
    PMID: 40027855 DOI: 10.1016/j.jobcr.2025.01.012
    BACKGROUND: Sjögren's Syndrome (SS) and Rheumatoid Arthritis (RA) are autoimmune conditions that often coexist in female patients. Biomarkers such as antinuclear antibodies (ANA) and rheumatoid factor (RF) are used for diagnosis, but their predictive power for treatment outcomes remains unclear. This study aims to investigate the correlation between age, ANA, RF, and treatment response in female patients with both SS and RA.

    OBJECTIVE: To evaluate the relationships between age, ANA, RF levels, RA (disease present), and treatment response using Pearson correlation analysis and a neural network model, to predict treatment outcomes in patients with coexisting SS and RA.

    METHODS: A cohort of 56 female patients aged 30-73 was analyzed. Descriptive statistics provided an overview of key variables, followed by Pearson correlation analysis to assess relationships between age, ANA, RF, RA, and treatment response. A neural network model was developed to predict treatment response based on age, ANA, and RF levels, using a training-to-testing split of 81.3 % and 18.8 %, respectively.

    RESULTS: The Pearson correlation analysis revealed a significant positive correlation between age and ANA levels (r = .541, p = 0.031), though no significant correlations were found between age, RF, RA, and treatment response. The neural network model achieved an accuracy of 92.3 % during training and 100 % accuracy during testing for most treatment categories. However, the model struggled to accurately distinguish between certain classes, particularly treatment categories 1 and 3.

    CONCLUSION: Age showed a significant correlation with ANA levels, indicating that older patients may have elevated ANA. The neural network model demonstrated strong predictive power for treatment response, although further refinement is needed to improve its ability to distinguish between all response categories. These findings suggest that machine learning models could enhance personalized treatment strategies for patients with SS and RA, but additional validation with larger datasets is required.

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