Despite the rapid advancement in diagnostic and therapeutic modalities, endobronchial tuberculosis (EBTB), defined as tuberculous infection of the tracheobronchial tree, continues to remain challenging for clinicians. Nonspecific respiratory symptoms along with normal chest radiograph in 10–20% of cases may be alleged for the diagnostic delay. Variable diagnostic yield with sputum microscopy might further compound the problem. In such cases, high resolution computed tomography (HRCT) works as a more sensitive tool and demonstrates involvement of tracheobronchial tree described classically as “tree-in-bud” appearance. Bronchoscopic biopsy is considered the most reliable method for confirmation of the diagnosis with 30% to 84% positivity in different series. Evolution of the disease is also unpredictable with frequent progression to bronchostenosis, therefore requiring regular follow-up and early intervention to halt the natural course. This review article elaborates various aspects of the disease with specific focus on diagnostic dilemma and recent advances in interventional bronchoscopy. In addition, this discussion evokes optimism for further research and introduction of innovative therapeutic modalities.

Medical education in India is suffering from various shortcomings at conceptual as well as implementation level. With the expansion in medical education, the doctor to patient ratio has increased but these numbers do not align well with the overall quality of medical care in the country. To address this issue, a comprehensive analysis of various associated factors is essential. Indian medical education is suffering from a maldistribution of resources, unregulated growth in the private sector, lack of uniform admission procedures and traditional curricula lacking innovative approaches. To achieve higher standards of medical education, our goal should be to re-evaluate each and every aspect; create an efficient accreditation system; promote an equal distribution of resources, redesign curricula with stricter implementation and improved assessment methodologies; all of which will generate efficient medical graduates and consequently better health care delivery, and resulting in desired change within the system.

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To achieve the goal of tuberculosis eradication, it is essential to understand its different forms of clinical presentation and detailed pathogenesis including host factors, host-pathogen interaction, and molecular mechanisms. Cytomorphological features of the representative lesions might be valuable in providing clues regarding possible pathogenetic mechanisms.

Scrotal calcinosis is a rare entity characterised by multiple calcified nodules in the scrotal skin. Various pathogenetic mechanisms have been postulated in the literature to explain the origin of these nodules; however, debate continues among variable opinions and evidence. We report two cases of scrotal calcinosis developing from an epidermoid cyst with demonstration of pathology at various stages, thereby suggesting calcification of epidermal cysts as an initiating event in the pathogenesis of the disease, at least in a few cases.

Medical image processing is essential in many fields of medical research and clinical practices because it greatly facilitates early detection and diagnosis of diseases. This paper surveys an add-on approach in the area of medical image analysis for diagnosis of diseases in oral radiology using dental Xrays in dentistry. In case of medical images human involvement and perception is of prime importance. It is indeed a difficult task to interpret fine features in various contrast situations. The raw data obtained directly from X-ray acquisition device may yield a comparatively poor image quality representation. Because of the role of a human (dentist) interpretation based on his knowledge, experience and perception which may differ from doctor to doctor; there are chances of error in deciding the right medical treatment. Software developers along with domain experts have designed various standardized and scientific tools to minimize the human error in the case of deciding the right treatment on the basis of visual perception. One of the aims of this paper is to focus on the extracted part of the tooth from digital dental X-ray, finding the required information in the form of features and helping the dentist in the form of pre-diagnosis suggestions at an early stage.

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