PriMera Scientific Surgical Research and Practice (ISSN: 2836-0028)

Research Article

Volume 8 Issue 2

Bircotebs - A Bilateral Radiographic-Stochastic Model for the Complementary States (Health/Disease) of the D-Organ and Middle-Ear Mucosa

Marian Radulescu, Adela-Ioana Mocanu*, Mihai Lupascu*, Vasile Lungu, Mihai-Adrian Schipor and Horia Mocanu

August 04, 2026

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Abstract

The suppuration of the middle-ear (ME) is a common pathology (over 20 million individuals for chronic suppuration only, according to latest reports by the WHO) facilitated by the notoriously complicated and irregular anatomic structure ot the temporal bone (TB). Clinically, the patients experience frequent recurrences and over 50% of subjects suffer from conductive hearing loss. The geometry of the mastoid air cells system (MACS) has not been described for adults over a large range of MACS volumes. The volume of this complicated system of interconnected air cells is difficult to measure and current studies tend to suggest that MACS and not the Eustachian tube opening is the primary gas source for the ME. The bony walls of these cavities are radiopaque and form the bony support for the D-Organ that we have previously defined along with the Unilateral Radiographic-Stochastic Model for its Complementary States (Health/Disease). The aim of the current study is to provide a correct and complete approach to the previously mentioned fields of research which implies the analysis of the D-Organ as a pair (a pair of middle-ears). This is reflected in the BIlateral Radiographic COnformation of the TEmporal Bone in Schuller projection (BIRCOTEBS). We aim to continue our research and to tap the considerable potential of this statistic-probabilistic perspective on the phenomena and processes of interest regarding the structure and function of the ME, both in normal and pathological conditions. From a statistical and probabilistic point of view, the BIRCOTEBS is a natural development and continuation of our analysis of the URCOTEBS. This data is encoded within the image and we aim to decode and translate it into clinical data for a bilateral approach this time. The present work gives, through stochastic methods, the key to decoding this information into clinical language. This nosographic-radiographic-stochastic model (both in theory and in practice - the patient’s radiography) represents a necessary but not sufficient step in defining all aspects of chronic ME disease. This radiographic system is readily available and clinically usable.

Keywords: radiology; X-rays; tomography; otitis media; ventilation; anatomy; physiology; statistical modeling

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