Publications by authors named "David Megyessi"

The incidence of adenocarcinoma- (AIS) of the uterine cervix is rising, with invasive adenocarcinoma becoming increasingly common relative to squamous cell carcinoma. The present study reviewed a cohort of 84 patients first-time treated by conization for histologically-confirmed AIS from January 2001 to January 2017, to identify risk factors associated with recurrent/persistent AIS as well as progression to invasive cervical cancer. Nearly 80% of the patients were age 40 or younger at conization.

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The present study aimed to identify the factors that independently contribute to disease recurrence among women first-time treated for high-grade cervical intraepithelial neoplasia (CIN) during 4-6 years of follow-up. Overall, 529 of 530 eligible patients participated; these patients all attended a 1st follow-up appointment ~6 months post-conization, at which time high-risk human-papillomavirus (HPV) testing, liquid-based cytology and colposcopy were performed. Full data on margin excision status, other aspects of initial treatment and comorbidity were obtained.

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Background: The American Society for Echocardiography/European Association of Cardiovascular Imaging (ASE/EACVI) 2016 guidelines for assessment of diastolic dysfunction (DD) are based primarily on the effects of diastolic dysfunction on left ventricular filling hemodynamics. However, these measures do not provide quantifiable mechanistic information about diastolic function. The Parameterized Diastolic Filling (PDF) formalism is a validated theoretical framework that describes DD in terms of the physical properties of left ventricular filling.

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Background: Women treated for high-grade cervical intraepithelial neoplasia (grade 2 or 3) are at elevated risk for developing cervical cancer. Suggested factors identifying women at highest risk for recurrence post-therapeutically include incomplete lesion excision, lesion location, size and severity, older age, treatment modality, and presence of high-risk human papilloma virus after treatment. This question has been intensively investigated over decades, but there is still substantial debate as to which of these factors or combination of factors most accurately predict treatment failure.

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