Segmentation and Multi-Timepoint Tracking of 3D Cancer Organoids from Optical Coherence Tomography Images Using Deep Neural Networks.

Recent years have ushered in a transformative era in in vitro modeling with the advent of organoids, three-dimensional structures derived from stem cells or patient tumor cells. Still, fully harnessing the potential of organoids requires advanced imaging technologies and analytical tools to quantitatively monitor organoid growth. Optical coherence tomography (OCT) is a promising imaging modality for organoid analysis due to its high-resolution, label-free, non-destructive, and real-time 3D imaging capabilities, but accurately identifying and quantifying organoids in OCT images remain challenging due to various factors. Here, we propose an automatic deep learning-based pipeline with convolutional neural networks that synergistically includes optimized preprocessing steps, the implementation of a state-of-the-art deep learning model, and ad-hoc postprocessing methods, showcasing good generalizability and tracking capabilities over an extended period of 13 days. The proposed tracking algorithm thoroughly documents organoid evolution, utilizing reference volumes, a dual branch analysis, key attribute evaluation, and probability scoring for match identification. The proposed comprehensive approach enables the accurate tracking of organoid growth and morphological changes over time, advancing organoid analysis and serving as a solid foundation for future studies for drug screening and tumor drug sensitivity detection based on organoids.

The incidence and relative risk of major adverse cardiovascular events and hypertension in patients treated with immune checkpoint inhibitors plus tyrosine-kinase inhibitors for solid tumors: a systemic review and meta-analysis.

INTRODUCTION: Combinations of immune checkpoint inhibitors (ICIs) and tyrosine kinase inhibitors (TKIs) can be responsible for major adverse cardiovascular events (MACEs). We performed a meta-analysis to assess the relative risk (RR) of MACEs and hypertension in cancer patients treated with ICI+TKI combinations. RESEARCH DESIGN AND METHODS: We selected prospective trials through MEDLINE/PubMed, Cochrane Library, and ASCOMeeting abstracts. We calculated combined ORs, RRs, and 95% CIs using RevMansoftware for meta-analysis (v.5.2.3). RESULTS: Seven studies were selected for the analysis of MACEs (3849 patients). The incidence MACEs were 0.8% with ICI+TKI combinations, compared to 0.2% in the control arms for both any- and high-grade. ICI+TKI combinations significantly increased the risk of any- (OR = 3.21; p = 0.01) and high-grade MACEs (OR = 2.72; p = 0.05). Ten studies were selected for the analysis of hypertension (5744 patients). The incidence of treatment-related hypertension of any-grade and high-grade was41.3% (vs. 20.8%) and 26.1% (vs. 12.3%) with ICI+TKI combinations, respectively. ICI+TKI combinations significantly increased the risk of treatment-related hypertension of any-grade (RR = 2.10; p = 0.001), but not of high-grade (p = 0.11). CONCLUSIONS: ICI+TKI combinations increase the risk of MACEs compared to controls, although the absolute incidence is eventually low. Routine cardiovascular monitoring in asymptomatic patients is therefore not recommended.

Tonsillectomy as Prevention of Tonsil and Base of Tongue Cancer: Systematic Review and Meta-analysis on the Immuno-Oncological Effect of One Among the Most Common Surgeries in the World.

Otorhinolaryngology tradition is that tonsillectomy (TE) is conducted among children and adolescents for obstructive sleep apnea secondary to adenotonsillar hypertrophy and in adults for chronic disease of the tonsils and adenoids (recurrent tonsillitis). Nevertheless, over the last 50 years, we have observed a decline in TE worldwide. As a result, there is an emerging concern of a correlated possible increased risk of tonsil cancer (TC) and other subtypes of oropharyngeal squamous cell carcinoma. Since the available data on such topics are limited and controversial, our aim was to elucidate the impact of TE on the incidence mainly of TC through a systematic review of the literature and a meta-analysis of the studies. After a thorough search, 7 retrospective studies were considered eligible for review and meta-analysis (MA). At MA, patients with a history of TE seem to show a reduced risk of TC but a higher predisposition for base of tongue (BOT) cancer (p<0.001): however, the elevated heterogeneity of the studies hampers drawing firm and convincing conclusions (statistical inconsistency >95%). In future, randomized control trials will be welcome to elucidate the prophylactic role of TE against TC and its real impact on BOT cancer.

[Exposure to air pollutants in the polyclinic of Bari]. / Esposizione ad inquinanti atmosferici nel Policlinico di Bari.

This work pertains to the study of exposure to air pollution and noise, of any citizen, in any time of day, within the perimeter of the Polyclinic of Bari. We utilized "dynamic" samplings, in a period of 24 hours, along a walking trail that lasted about 70 minutes, divided on the roads inside the general hospital, performed by voluntary people carrying, by shoulder, a bag containing necessary tools, with their sample heads placed externally in the respiratory area. The values of the environmental survey revealed, particularly, the presence of atmospheric concentrations of PM10 of 63,4 microg/m3 as average value of the whole day and 93 microg/m3 as maximum average value in one hour, far above the limits expected by law for the protection of human health (maximum average value of 50 pg/m3 in 24 hours), almost the whole day and in all areas interested in this study. Also data related to noise showed steady and marked exceeding the limits (average of 68,2 dBA in the morning and 68,0 dBA in the afternoon, versus the limit of 50 dBA by day for hospital areas; average of 65,9 dBA in the night, versus the limit of 40 dBA by night for hospital areas). Instead, a normal situation has been ascertained for the remaining pollutants of the study: the concentrations of carbon monoxide (CO), carbon dioxide (CO2) and ozone (O3) were consistently maintained below the limits for health protection during the whole survey, as well as monitoring for sulfur dioxide (SO2) and volatile organic compounds (VOCs). Air concentration of PM10 and Leq values for noise were, in different times, above the reference limits and surely prejudicial to human health, not only for casual users, employees and students, but especially for the most sensitive patients accessing the hospital; the highest average values were found in periods corresponding to hours of greater intensity of traffic, or rather in the morning and late afternoon, decreasing, however, during the night. It supports the hypothesis that the main anthropogenic source for pollution should be found in the excessive road traffic and transport, as well as data of other urban areas confirm.