Identification of patients' smoking status using an explainable AI approach: a Danish electronic health records case study.

BACKGROUND: Smoking is a critical risk factor responsible for over eight million annual deaths worldwide. It is essential to obtain information on smoking habits to advance research and implement preventive measures such as screening of high-risk individuals. In most countries, including Denmark, smoking habits are not systematically recorded and at best documented within unstructured free-text segments of electronic health records (EHRs). This would require researchers and clinicians to manually navigate through extensive amounts of unstructured data, which is one of the main reasons that smoking habits are rarely integrated into larger studies. Our aim is to develop machine learning models to classify patients' smoking status from their EHRs. METHODS: This study proposes an efficient natural language processing (NLP) pipeline capable of classifying patients' smoking status and providing explanations for the decisions. The proposed NLP pipeline comprises four distinct components, which are; (1) considering preprocessing techniques to address abbreviations, punctuation, and other textual irregularities, (2) four cutting-edge feature extraction techniques, i.e. Embedding, BERT, Word2Vec, and Count Vectorizer, employed to extract the optimal features, (3) utilization of a Stacking-based Ensemble (SE) model and a Convolutional Long Short-Term Memory Neural Network (CNN-LSTM) for the identification of smoking status, and (4) application of a local interpretable model-agnostic explanation to explain the decisions rendered by the detection models. The EHRs of 23,132 patients with suspected lung cancer were collected from the Region of Southern Denmark during the period 1/1/2009-31/12/2018. A medical professional annotated the data into 'Smoker' and 'Non-Smoker' with further classifications as 'Active-Smoker', 'Former-Smoker', and 'Never-Smoker'. Subsequently, the annotated dataset was used for the development of binary and multiclass classification models. An extensive comparison was conducted of the detection performance across various model architectures. RESULTS: The results of experimental validation confirm the consistency among the models. However, for binary classification, BERT method with CNN-LSTM architecture outperformed other models by achieving precision, recall, and F1-scores between 97% and 99% for both Never-Smokers and Active-Smokers. In multiclass classification, the Embedding technique with CNN-LSTM architecture yielded the most favorable results in class-specific evaluations, with equal performance measures of 97% for Never-Smoker and measures in the range of 86 to 89% for Active-Smoker and 91-92% for Never-Smoker. CONCLUSION: Our proposed NLP pipeline achieved a high level of classification performance. In addition, we presented the explanation of the decision made by the best performing detection model. Future work will expand the model's capabilities to analyze longer notes and a broader range of categories to maximize its utility in further research and screening applications.

Synthesis, design, biological evaluation, and computational analysis of some novel uracil-azole derivatives as cytotoxic agents.

The design and synthesis of novel cytotoxic agents is still an interesting topic for medicinal chemistry researchers due to the unwanted side effects of anticancer drugs. In this study, a novel series of uracil-azole hybrids were designed and synthesized. The cytotoxic activity, along with computational studies: molecular docking, molecular dynamic simulation, density functional theory, and ADME properties were also, evaluated. The compounds were synthesized by using 3-methyl-6-chlorouracil as the starting material. Cytotoxicity was determined using MTT assay in the breast carcinoma cell line (MCF-7) and Hepatocellular carcinoma cell line (HEPG-2). These derivatives demonstrated powerful inhibitory activity against breast and hepatocellular carcinoma cell lines in comparison to Cisplatin as positive control. Among these compounds, 4j displayed the best selectivity profile and good activity with IC50 values of 16.18 ± 1.02 and 7.56 ± 5.28 µM against MCF-7 and HEPG-2 cell lines respectively. Structure-activity relationships revealed that the variation in the cytotoxic potency of the synthesized compounds was affected by various substitutions of benzyl moiety. The docking output showed that 4j bind well in the active site of EGFR and formed a stable complex with the EGFR protein. DFT was used to investigate the reactivity descriptors of 4a and 4j. The outputs demonstrated that these uracil-azole hybrids can be considered as potential cytotoxic agents.

Application of artificial neural network and dynamic adsorption models to predict humic substances extraction from municipal solid waste leachate.

Sustainable municipal solid waste leachate (MSWL) management requires a paradigm shift from removing contaminants to effectively recovering resources and decreasing contaminants simultaneously. In this study, two types of humic substances, fulvic acid (FA) and humic acid (HA) were extracted from MSWL. HA was extracted using HCl and NaOH solution, followed by FA using a column bed under diversified operations such as flow rate, input concentration, and bed height. Also, this work aims to evaluate efficiency of Artificial Neural Network (ANN) and Dynamic adsorption models in predicting FA. With the flow rate of 0.3 mL/min, bed height of 15.5 cm, and input concentration of 4.27 g/mL, the maximum capacity of FA was obtained at 23.03 mg/g. FTIR analysis in HA and FA revealed several oxygen-containing functional groups including carboxylic, phenolic, aliphatic, and ketone. The high correlation coefficient value (R2) and a lower mean squared error value (MSE) were obtained using the ANN, indicating the superior ability of ANN to predict adsorption capacity compared to traditional modeling.

Association between tumor necrosis factor-alpha polymorphisms (rs361525, rs1800629, rs1799724, 1800630, and rs1799964) and risk of psoriasis in studies following Hardy-Weinberg equilibrium: A systematic review and meta-analysis.

Objective: Psoriasis is a disease with an immunogenetic background in which cytokines have important effects on its prevalence and incidence. The present meta-analysis evaluated the relationship between tumor necrosis factor-alpha (TNF-α) polymorphisms (rs361525, rs1800629, rs1799724, 1800630, and rs1799964) and psoriasis risk in studies following Hardy-Weinberg equilibrium (HWE). Materials and methods: Four databases were searched to retrieve relevant studies reporting the distributions of TNF-α polymorphisms in psoriasis cases compared to controls. The effect sizes were the 95% confidence intervals (CIs) and odds ratios (ORs). Subgroup analysis, sensitivity analyses, publication bias, trial sequential analysis (TSA), and meta-regression were performed on the initial pooled results of TNF-α polymorphisms. Results: Thirty-six articles with 71 studies were included in the meta-analysis (twenty-six: rs361525, twenty-seven: rs1800629, nine: rs1799724, four: 1800630, and five: rs1799964). The pooled ORs for -238 G/A rs361525 polymorphism were 2.33 (p < 0.00001), 2.79 (p < 0.0001), 2.35 (p < 0.00001), 2.44 (p < 0.00001), and 2.45 (p < 0.00001), as well as 1.57 (p < 0.00001), 1.98 (p = 0.01), 1.61 (p < 0.00001), 1.64 (p < 0.00001), and 1.79 (p < 0.00001) for -857 C/T rs1799724 polymorphism in allelic, homozygous, heterozygous, dominant, and recessive models, respectively. Ethnicity, psoriasis type, and sample size affected the pooled results of rs361525, rs1800629, and rs1799724 polymorphisms. Based on TSA, there were just sufficient cases for -238 G/A rs361525 polymorphism in five genetic models and -857C/T rs1799724 polymorphism in allelic, heterozygous, and dominant models. Conclusions: The A allele and GA and GG genotypes of -238 G/A rs361525 polymorphism and T allele, TT and CT genotypes of -857C/T rs1799724 polymorphism were related to increased risks in psoriasis cases. Well-designed studies (with no deviation from HWE in controls) with more cases are recommended in the future.

Simultaneous Online Registration-Independent Stiffness Identification and Tip Localization of Surgical Instruments in Robot-assisted Eye Surgery.

Notable challenges during retinal surgery lend themselves to robotic assistance which has proven beneficial in providing a safe steady-hand manipulation. Efficient assistance from the robots heavily relies on accurate sensing of surgery states (e.g. instrument tip localization and tool-to-tissue interaction forces). Many of the existing tool tip localization methods require preoperative frame registrations or instrument calibrations. In this study using an iterative approach and by combining vision and force-based methods, we develop calibration- and registration-independent (RI) algorithms to provide online estimates of instrument stiffness (least squares and adaptive). The estimations are then combined with a state-space model based on the forward kinematics (FWK) of the Steady-Hand Eye Robot (SHER) and Fiber Brag Grating (FBG) sensor measurements. This is accomplished using a Kalman Filtering (KF) approach to improve the deflected instrument tip position estimations during robot-assisted eye surgery. The conducted experiments demonstrate that when the online RI stiffness estimations are used, the instrument tip localization results surpass those obtained from pre-operative offline calibrations for stiffness.

The effect of encomir-93 mimic transfection on the expression of miR-93 and PSA and androgen receptor in prostate cancer LNcap cell line.

OBJECTIVES: Prostate cancer (PCa) is one of the most common cancers in men with high mortality rate which is a major concern for men's health. However, the molecular mechanisms remain poorly understood. miR-93 is an important oncogene which may have important function in prostate cancer.So, this study aimed to predict that encomir-93 mimic transfection on the expression of miR-93 and PSA and AR in prostate cancer LNcap cell line. METHODS: Lymph node carcinoma of the prostate (LNCaP) was cultured and then miR-93 mimics was designed, synthesized and the transfected to LNCaP. The expression level of prostate-specific antigen (PSA) and androgen receptor (AR) was determined via Real-time PCR after treated with 15 pmol of miR-93 mimics. RESULTS: miR-93 mimic transfection led to significant increase in PSA and AR expression in comparison with control group (p≤0.05). CONCLUSIONS: The miR-93 and its target genes has important role in PCa progression via enhancement in PSA and AR expression. Further research on the function of the miR-93 and its target genes in tumorgenesis and progression PCa could be helpful for the treatment of prostate cancer.

A novel Cu(II)-based DNA-intercalating agent: Structural and biological insights using biophysical and in silico techniques.

A new mixed-ligand Cu(II) complex formulated as [Cu(dipic)(amp)(H2O)].H2O (dipic: pyridine-2,6-dicarboxylic acid, amp: 2-amino-4-methylpyridine), was synthesized and structurally characterized by FTIR spectroscopy, CHN analysis, and the single-crystal X-ray crystallographic method. The complex crystallizes in an orthorhombic space group Pna21, and the coordination environment around the metal center was found to be a pentacoordinate CuN2O2OW distorted square-pyramidal geometry. In order to systematically explore a detailed in vitro and in silico study of the DNA binding of the title complex, various biophysical (UV-Vis absorption spectroscopy, fluorescence, competitive binding with ethidium bromide) and theoretical (DFT, molecular docking simulation, and QM/MM) methods were applied which revealed that the complex could intercalate with the insertion of the amp ligand between the DNA base pairs. The experimental thermodynamic parameters of the interaction revealed the spontaneity of the process and the domination of the hydrophobic interactions in the association and stabilization of the DNA-Cu(II) complex adduct, which was in line with the docking and QM/MM data. In vitro cytotoxic potential of the complex against the human breast adenocarcinoma (MCF-7) cells was examined using MTT assay, which indicated that cancerous cells showed inhibition in presence of the complex.

Binding profile of a mixed-ligand silver(I) complex with DNA and Topoisomerase I.

A new mixed-ligand Ag(I) complex, [Ag(daf)(phen)]NO3 (daf = 4,5-diazafluoren-9-one and dian = N-(4,5-diazafluoren-9-ylidene)aniline), was synthesized. The elemental analysis, FTIR, 1HNMR, UV-Vis spectroscopy, cyclic voltammetry, and DFT (Density Functional Theory) geometry optimization method were applied in order to predict the Ag(I) complex structure which concluded to a distorted tetrahedral N4 coordination around the Ag(I) center. A detailed in silico analysis of the bioaffinity of the complex to DNA and human DNA-Topoisomerase I was conducted using molecular docking simulations and ONIOM (Our own N-layered Integrated molecular Orbital and molecular Mechanics) techniques. In this overall scenario, the results suggest the dominance of π-π stacking interactions of the heteroaromatic ligands in the intercalating pocket of DNA and the active site of the enzyme and the rational correlation between being a good intercalator and a potent Topoisomerase I inhibitor. In vitro DNA-binding experiments by spectrophotometric, spectrofluorometric, Voltammetric, and viscometric techniques at physiological pH also confirmed the computational results. The complex inhibited MCF-7 cell growth in a dose-dependent manner while being nontoxic on HUVEC normal cells.

BEAM MATCHING EVALUATION OF TWO SIMILAR LINEAR ACCELERATORS.

To evaluate the beam-matching of two Siemens Primus medical linear accelerators (Linacs), the output factor (Sc,p), wedge factor, quality index (TPR20/10), percentage depth dose (PDD) and beam profiles were compared for 6 and 15 MV photon beams. The output factor, the PDD and the beam profile for electron beam compared for 5, 7, 8, 10 and 12 MeV electron beams. The gamma (γ) analysis of 2 mm/2% and 3 mm/3% was performed. According to the measurements, it can be said that 6 MV photon beams in all field sizes (except 4 × 4 cm2) are beam matched. For 15 MV, although the PDDs were matched in all field sizes (except 4 × 4 cm2) for both 2 mm/2% and 3 mm/3% γ criteria, beam profiles in field sizes larger than 10 × 10 cm2 for 3 mm/3% and in field sizes larger than 8 × 8 cm2 for 2 mm/2% were not matched. The electron beams in all applicator sizes (except 5 × 5 cm2 applicator) pass the acceptance γ criteria of 3 mm/3% (γ < 1). Electron beams do not fulfill beam matched in case of the acceptance γ criteria of 2 mm/2%.

Simultaneous electrochemical degradation of pesticides from the aqueous environment using Ti/SnO2-Sb2O3/PbO2/Bi electrode; process modeling and mechanism insight.

In this work, modified Bi-PbO2 electrode was fabricated and employed for simultaneous degradation of fenitrothion (FT), trifluralin (TF), and chlorothalonil (CT) from synthetic and pesticide wastewater through the anodic oxidation process. A novel high-performance liquid chromatography method was developed and optimized to identify the pesticides simultaneously. Quadratic models were developed to investigate the effects of main operating parameters and predict the degradation efficiencies of the treatment processes. The R2 of the degradation efficiencies were obtained of 0.9847, 0.9910, and 0.9821 for FT, TF, and CT, respectively, which indicates the degree of conformity between the experimental and the actual values of degradation efficiencies, and the adjusted R2 values for the degradation efficiency of FT, TF, and CT in proposed models were 0.9826, 0.9898, and 0.9796, and the values of the predicted R2 were 0.9792, 0.9875, and 0.9755, respectively. The maximum degradation efficiencies of 99.7, 100, and 100% obtained for FT, TF, and CT, respectively, under the optimal operating condition of FT, TF, and CT concentration of 10.0, 6.0, and 8.0 mg L-1, respectively, pH 6.0, the current density 6.0 mA cm-2, and electrolysis time of 60 min. Chemical oxygen demand removal and energy consumption were 64.7% and 5.1 kWh m-3. Eventually, the generated intermediates and other produced species of pesticides through the treatment process was evaluated using a gas chromatography-mass spectrometry method, and their degradation pathways were proposed.

Endovascular Repair of an Ascending Aorta Dissection After Self-expanding TAVR by Suprasternal Approach.

Management of rare ascending aortic complications after transcatheter aortic valve replacement (TAVR) remains a poorly defined area of knowledge. Furthermore, because most patients undergoing TAVR are at intermediate to high surgical risk, the treatment of such complications often requires endovascular approaches. Herein, we present a novel technique of endovascular ascending aorta stent graft delivery from the innominate artery for the treatment of a type A aortic dissection after self-expandable TAVR implantation, specifically addressing the landing of the aortic stent within the crown of the TAVR valve.

A collection of multiregistry data on patients at high risk of lung cancer-a Danish retrospective cohort study of nearly 40,000 patients.

Background: Lung cancer (LC) is the leading cause of cancer related deaths, and several countries are implementing screening programs. Risk models have been introduced to refine the LC screening criteria, but the use of real-world data for this task demands a robust data infrastructure and quality. In this retrospective cohort study, we aim to address the different relevant risk factors in terms of data sources, descriptive statistics, completeness and quality. Methods: Data on comorbidity, prescription medication, smoking history, consultations, symptoms, familial predispositions, exposures, laboratory data among others were collected for all patients examined on a risk of LC over a 10-year period in the Region of Southern Denmark. Data were delivered from the regional data warehouse as well as the Danish Lung Cancer Registry. Associations between LC and non-LC groups were examined through Chi-squared test (categorical variables) and Wilcoxon signed-rank test (continuous variables that were non-parametric). These associations were investigated on both the original datasets and the subset of patients with complete data. Results: The number of examined individuals increased over the study period and more patients were diagnosed with LC in stage I-II, from 18% in 2009 to 31% in 2018. LC patients were more likely to be older, smoker, with a registered prescription of the included medication. They also exhibited differences in laboratory analysis indicating inflammation and hyponatremia. Weight loss, fatigue and pain were more prevalent in the LC group, while hemoptysis and fever were more common among the non-LC patients. Advanced-stage LC patients experienced a higher rate of symptoms compared to those in the low stages. Within the sub-cohort with complete dataset results, most observed trends persisted, although data on comorbidities were susceptibility to change. Conclusions: This study provides key insights into LC risk assessment using a robust dataset of patients examined for suspected LC. A consistent positive trend in early-stage LC diagnosis was observed throughout the study period. LC patients exhibited distinct smoking behaviors, medication patterns, variations in lab results, and specific symptoms. These discoveries have the potential to enhance discrimination in machine learning-based prediction models, particularly those capable of handling complex distributions. Serving as a detailed account of real-world data collection and processing, the study establishes a foundation for future development of prediction models aimed at facilitating the early referral of LC patients.

Synthesis, biological evaluation, and computational studies of some novel quinazoline derivatives as anticancer agents.

A series of quinazolinone derivatives (7a-7h) were synthesized as antiproliferative agents. All compounds, were synthesized through three steps method and structurally evaluated by FTIR, 1H-NMR, 13CNMR and Mass spectroscopy. Their cytotoxic activities were assessed using MTT protocol against three humans cancerous (MCF-7, A549 and 5637) and normal (MRC-5) cell lines. In addition, molecular docking and simulation studies of the synthesized compounds were performed to assessment their orientation, interaction mode against EGFR as plausible mechanism of quinazoline compounds as anticancer agents. The synthesized compounds mostly showed moderate activity against the three studied cell lines. They also indicated an appropriate selectivity against tumorigenic and non-tumorigenic cell line. The molecular docking results also confirmed biological activity. Most of the compounds fulfilled Lipinski rule. Collectively, these compounds with further modification can be considered as potent antiproliferative agents.

Optimization-based Concurrent Control of a High Dexterity Robot for Vitreoretinal Surgery.

Vitreoretinal surgery requires dexterity and force sensitivity from the clinician. A system to cooperatively control an integrated surgical robot for high dexterity manipulation within the eye's vitreous space was developed and validated in simulation. The system is composed of a 2 degrees of freedom (DoF) snake-like continuum manipulator that is attached to the end-effector of a 5-DoF rigid robot arm. It is capable of receiving position and orientation commands from a 5-DoF input device in real-time, as well as following pre-planned trajectories. The manipulator is moved to each target pose in real-time, using an optimization method to calculate the inverse kinematics solution. Constraints on the position and orientation ensure the target pose does not harm the patient within the vitreous space, enabling the robot to safely assist the clinician with vitreoretinal surgery when operating in real-time. The simulation demonstrates the system's feasibility and benefits over the existing non-dexterous system.

Delta Robot Kinematic Calibration for Precise Robot-Assisted Retinal Surgery.

High precision is required for ophthalmic robotic systems. This paper presents the kinematic calibration for the delta robot which is part of the next generation of Steady-Hand Eye Robot (SHER). A linear error model is derived based on geometric error parameters. Two experiments with different ranges of workspace are conducted with laser sensors measuring displacement. The error parameters are identified and applied in the kinematics to compensate for modeling error. To achieve better accuracy, Bernstein polynomials are adopted to fit the error residuals after compensation. After the kinematic calibration process, the error residuals of the delta robot are reduced to satisfy the clinical requirements.

Force-based Control for Safe Robot-assisted Retinal Interventions: In Vivo Evaluation in Animal Studies.

In recent years, robotic assistance in vitreoretinal surgery has moved from a benchtop environment to the operating rooms. Emerging robotic systems improve tool manoeuvrability and provide precise tool motions in a constrained intraocular environment and reduce/remove hand tremor. However, often due to their stiff and bulky mechanical structure, they diminish the perception of tool-to-sclera (scleral) forces, on which the surgeon relies, for eyeball manipulation. In this paper we measure these scleral forces and actively control the robot to keep them under a predefined threshold. Scleral forces are measured using a Fiber Bragg Grating (FBG) based force sensing instrument in an in vivo rabbit eye model in manual, cooperative robotic assistance with no scleral force control (NC), adaptive scleral force norm control (ANC) and adaptive scleral force component control (ACC) methods. To the best of our knowledge, this is the first time that the scleral forces are measured in an in vivo eye model during robot assisted vitreoretinal procedures. An experienced retinal surgeon repeated an intraocular tool manipulation (ITM) task 10 times in four in vivo rabbit eyes and a phantom eyeball, for a total of 50 repetitions in each control mode. Statistical analysis shows that the ANC and ACC control schemes restrict the duration of the undesired scleral forces to 4.41% and 14.53% as compared to 43.30% and 35.28% in manual and NC cases, respectively during the in vivo studies. These results show that the active robot control schemes can maintain applied scleral forces below a desired threshold during robot-assisted vitreoretinal surgery. The scleral forces measurements in this study may enable a better understanding of tool-to-sclera interactions during vitreoretinal surgery and the proposed control strategies could be extended to other microsurgery and robot-assisted interventions.

Health risk assessment of inhalational exposure to heavy metals in drivers working in an urban desert city in the Middle East.

Heavy metals are threatening the lives of people around the world. This study aims to quantify the adverse health risks of seven heavy metals, including arsenic, cadmium, cobalt, chromium, lead, manganese, and nickel in taxi drivers in an urban desert city, Yazd, Iran. The exposure concentrations were determined through air sampling in the breathing zone of 40 randomly selected intercity taxi drivers, 20 in winter and 20 in summer, in 2019. An ICP-MAS spectrometer was applied to measure the elements. Target hazard quotient (THQ) and excessive cancer risk (ECR) indices were applied to calculate the non-cancer and cancer risks based on the United States Environmental Protection Agency (USEPA) guidelines, respectively. The results showed that arsenic and lead had the highest exposure concentrations among the seven measured heavy metals while cobalt and chromium metals had the lowest concentrations. Arsenic, cadmium, manganese, and nickel would probably cause some adverse non-carcinogenic health problems (THQ > 1) in the drivers over their working life. The percentile 95% ECR of measured heavy metals was 1.3E - 03 in total, which is much higher than the value of 1E - 06. The concentration of arsenic and nickel was higher in winter than in summer. Taxi drivers in Yazd city are at considerable health risk; therefore, swift and serious controlling measures should be taken by responsible authorities. Besides, the taxi drivers should be educated about heavy metals' health effects and their protective behaviors.

Treatment of recalcitrant vitiligo by autologous non-cultured and trypsinized melanocyte grafting in the west of Iran

Abstract Background Vitiligo is a common disease with a high burden, and its recalcitrant type is unresponsive to current medical treatments. Autologous non-cultured and trypsinized melanocyte grafting, which is a simple and experience-based procedure, has been suggested for the treatment of vitiligo. Objective To assess autologous non-cultured and trypsinised melanocyte grafting in recalcitrant vitiligo. Methods This clinical trial was done on 28 patients (20 females and 8 males). After demarcation and preparation of both donor and recipient sites, both sites were shaved by a curette. The materials harvested from the donor site were trypsinized and centrifuged. The resulting suspension was mixed with hyaluronic acid gel and was spread over the shaved recipient area. Results Twenty-eight patients with a total of 108 lesions and a mean age of 25.93 ± 7.11 years were included in the present study. Generalized vitiligo (57.1%) was the most common clinical type and the face and neck regions (38%) were the most frequent treated sites. Good to excellent repigmentation was seen in the face and neck, trunk, upper extremity, and genitals in 31 (57.4%), 11 (20.4%), 9 (16.7%) and 3 (5.5%) patients, respectively. Face and neck showed significantly better results (p < 0.05). Study limitations Low sample size and single-center study. Conclusion Autologous non-cultured and trypsinized melanocyte grafting is a safe method with satisfactory outcomes in recalcitrant vitiligo. Appropriate training of physicians and proper use of specialists' experiences can be effective in increasing the improvement rate.

Comparison of Demographic and Clinicopathological Characteristics of Basal Cell Carcinoma on the Nose and Other Sites of the Face: A Cross-Sectional Study.

INTRODUCTION: The clinicopathological characteristics of basal cell carcinoma (BCC) in different areas of the face, including the nose, are important and may be different. Accurate recognition of these characteristics may be necessary for the planning and selection of appropriate treatment. MATERIALS AND METHODS: This cross-sectional study was conducted on 328 patients (131 females and 197 males) with 371 documented facial BCC in the West of Iran within 2013-2018. The demographic and clinicopathological data of the patients in the nose area were compared with other sites of the face by appropriate statistical methods. RESULTS: Out of 371 lesions, 38.8% of the cases were on the nose, 75.8% were primary lesions, 97.8% had no perineural invasion, 89.2% were nodular, and 65.8% were of nodular clinical and pathologic type, which were the most common variables of patients. It was revealed that early-onset (P<0.001), smaller size (P<0.001), high-risk pathologic type (P=0.01), and recurrent lesions (P=0.013) were significantly higher in the nasal BCC. However, there was no significant difference between BCC in the nose and other sites of the face in terms of gender (P=0.654), high-risk clinical type (P=0.06), and perineural invasion (P=0.275). CONCLUSION: Considering the nasal site as an important cosmetic unit, more limitation of the nose in performing any procedure, and presence of the more risk factors in the nose than in other areas of the face, the definite treatment of nasal BCC requires special attention, expertise, and experience.

Interaction of MS prevalence, radon gas concentration, and patient nutrition: a case-control study.

In general, ecological findings indicate a positive correlation between MS and the intake of certain foods. This study aimed to investigate the relationship between radon (Rn) gas concentration and nutrition of patients in food groups with MS. Demographic information, diet, and building characteristics were collected by a questionnaire. Indoors Rn gas was measured using CR-39 detectors. Three models were used in the study of food intake. The interaction analysis between MS prevalence, diet, residential building characteristics, and Rn gas content was performed using SPSS 2020. The total Rn was significantly associated with cooling devices (P = 0.021). Buildings > 20 years had higher Rn concentrations than buildings < 20 years (P = 0.038). Also, no significant relationship was found between Rn-total and MS concentrations, but the total Rn concentration was higher in people homes with MS. Case group used more processed meat than the control (P < 0.001). The case group consumed more butter than the control, which was significant in Model III (P < 0.04). Tomato consumption in the case group was significantly higher than the control (P < 0.03). According to the results there was no interaction between Rn gas concentration in any of the food groups in each cases. However, future studies with larger sample sizes will be needed prospectively.