Are Artificial Intelligence-Assisted Three-Dimensional Histological Reconstructions Reliable for the Assessment of Trabecular Microarchitecture?

Objectives: This study aimed to create a three-dimensional histological reconstruction through the AI-assisted classification of tissues and the alignment of serial sections. The secondary aim was to evaluate if the novel technique for histological reconstruction accurately replicated the trabecular microarchitecture of bone. This was performed by conducting micromorphometric measurements on the reconstruction and comparing the results obtained with those of microCT reconstructions. Methods: A bone biopsy sample was harvested upon re-entry following sinus floor augmentation. Following microCT scanning and histological processing, a modified version of the U-Net architecture was trained to categorize tissues on the sections. Detector-free local feature matching with transformers was used to create the histological reconstruction. The micromorphometric parameters were calculated using Bruker's CTAn software (version 1.18.8.0, Bruker, Kontich, Belgium) for both histological and microCT datasets. Results: Correlation coefficients calculated between the micromorphometric parameters measured on the microCT and histological reconstruction suggest a strong linear relationship between the two with p-values of 0.777, 0.717, 0.705, 0.666, and 0.687 for BV/TV, BS/TV, Tb.Pf Tb.Th, and Tb.Sp, respectively. Bland-Altman and mountain plots suggest good agreement between BV/TV measurements on the two reconstruction methods. Conclusions: This novel method for three-dimensional histological reconstruction provides researchers with a tool that enables the assessment of accurate trabecular microarchitecture and histological information simultaneously.

Impact of regulatory tightening of the Hungarian tobacco retail market on availability, access and cigarette smoking prevalence of adolescents.

INTRODUCTION: Policies that reduce tobacco retail density to decrease tobacco use among the youth are critical for the tobacco endgame. This paper reviews a Hungarian tobacco regulatory measure, which, since 2013, has confined the sale of tobacco products exclusively to so-called National Tobacco Shops, summarises the changes in the national tobacco retail marketplace and reports on analyses of the impact of this intervention on illegal sales to minors and adolescent smoking behaviour. METHODS: We reviewed the available national statistical data on the structure and dynamics of the tobacco retail market. Changes in lifetime and current (past 30 days) use of cigarettes among Hungarian adolescents aged 13-17 years were assessed using data from international youth surveys on health behaviours collected in 2010-2020. RESULTS: Since the start of policy implementation, the density of tobacco shops in Hungary decreased by 85%, from 4.1 to 0.6 per 1000 persons. The prevalence of lifetime and current cigarette smoking among adolescents declined by 13-24 percentage points (pp) and by 4.8-15 pp, respectively. The rate of illegal sales of tobacco products to minors decreased by 27.6 pp, although the prevalence of compensatory access strategies, especially asking others to buy cigarettes for minors, increased. CONCLUSIONS: After a significant decrease in the nationwide availability of licensed tobacco retailers, Hungary experienced short-term reductions in youth smoking prevalence. However, the sporadic implementation of complementary, evidence-based tobacco control strategies might limit further declines in youth smoking initiation and tobacco product use.

Underlying reasons for post-mortem diagnosed lung cancer cases - A robust retrospective comparative study from Hungary (HULC study).

Objective: The Hungarian Undiagnosed Lung Cancer (HULC) study aimed to explore the potential reasons for missed LC (lung cancer) diagnosis by comparing healthcare and socio-economic data among patients with post-mortem diagnosed LC with those who were diagnosed with LC during their lives. Methods: This nationwide, retrospective study used the databases of the Hungarian Central Statistical Office (HCSO) and National Health Insurance Fund (NHIF) to identify patients who died between January 1, 2019 and December 31, 2019 and were diagnosed with lung cancer post-mortem (population A) or during their lifetime (population B). Patient characteristics, socio-economic factors, and healthcare resource utilization (HCRU) data were compared between the diagnosed and undiagnosed patient population. Results: During the study period, 8,435 patients were identified from the HCSO database with LC as the cause of death, of whom 1,203 (14.24%) had no LC-related ICD (International Classification of Diseases) code records in the NHIF database during their lives (post-mortem diagnosed LC population). Post-mortem diagnosed LC patients were significantly older than patients diagnosed while still alive (mean age 71.20 vs. 68.69 years, p<0.001), with a more pronounced age difference among female patients (difference: 4.57 years, p<0.001), and had significantly fewer GP (General Practitioner) and specialist visits, X-ray and CT scans within 7 to 24 months and 6 months before death, although the differences in GP and specialist visits within 7-24 months did not seem clinically relevant. Patients diagnosed with LC while still alive were more likely to be married (47.62% vs. 33.49%), had higher educational attainment, and had more children, than patients diagnosed with LC post-mortem. Conclusions: Post-mortem diagnosed lung cancer accounts for 14.24% of total lung cancer mortality in Hungary. This study provides valuable insights into patient characteristics, socio-economic factors, and HCRU data potentially associated with a high risk of lung cancer misdiagnosis.

HunCRC: annotated pathological slides to enhance deep learning applications in colorectal cancer screening.

Histopathology is the gold standard method for staging and grading human tumors and provides critical information for the oncoteam's decision making. Highly-trained pathologists are needed for careful microscopic analysis of the slides produced from tissue taken from biopsy. This is a time-consuming process. A reliable decision support system would assist healthcare systems that often suffer from a shortage of pathologists. Recent advances in digital pathology allow for high-resolution digitalization of pathological slides. Digital slide scanners combined with modern computer vision models, such as convolutional neural networks, can help pathologists in their everyday work, resulting in shortened diagnosis times. In this study, 200 digital whole-slide images are published which were collected via hematoxylin-eosin stained colorectal biopsy. Alongside the whole-slide images, detailed region level annotations are also provided for ten relevant pathological classes. The 200 digital slides, after pre-processing, resulted in 101,389 patches. A single patch is a 512 × 512 pixel image, covering 248 × 248 µm2 tissue area. Versions at higher resolution are available as well. Hopefully, HunCRC, this widely accessible dataset will aid future colorectal cancer computer-aided diagnosis and research.

[Overview of human resources for health composition in the most mobile specialty groups in Hungary]. / Helyzetkép az elvándorlásban érintett orvosi szakterületek hazai humáneroforrás-ellátottságáról.

Introduction: The Human Resources for Health (HRH) mobility and migration are considered as global phenomena. The European Union often faces the mobility of health professionals on a system level. Hungary is recognised among the sending countries, therefore both international and national level health workforce monitoring, planning, and forecasting are inevitable. Aim: The purpose of this research was to investigate the national demographical profiles of the medical professions affected most significantly by the Hungarian HRH mobility process. Method: Age and regional distribution analyses of the requests for degree certificate issued by the National Healthcare Services Centre were carried out between the years of 2010 and 2017. Results: In Hungary, the rate of mobility - the number of requests for degree certificate among the licensed to practice professionals - resulted in the following: the highest rate was detected in anaesthesiology and intensive therapy with 23.5%, in surgery 17.9%, then internal medicine 7.9%, paediatrics 7.4%, and in general practice 6.4%. According to the results, in the 5 above mentioned professions, the physicians most affected by mobility are mostly from the age cohort of 50+. Furthermore, the results also highlight the territorial inequalities: the region of the capital as well as the medical university towns and counties are in the most favourable situation in terms of professional care and supply. Conclusion: Therefore, it can be concluded that in the case of the 5 investigated subspecialties, not only the overall age of the physicians is higher in the disadvantaged areas, but these regions also have to face a more severe shortage of specialists. Orv Hetil. 2019; 160(31): 1223-1230.