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Purpose: We evaluated the feasibility, safety, and learning curve of extraperitoneal single-port robot-assisted radical prostatectomy (SP-RARP) and introduced innovative surgical techniques to maintain the instrument positions during the procedures. Materials and Methods: A cohort of 100 patients underwent extraperitoneal SP-RARP at our institution from December 2021 to April 2023. The procedures were performed by an experienced urology surgeon utilizing two surgical techniques for dissecting the posterior aspect of the prostate—“changing instrument roles” and “using camera inversion”—to prevent positional shifts between the camera and instruments. Results: The mean operation time for SP-RARP was 93.58 minutes, and the mean console time was 65.16 minutes. The mean estimated blood loss during the procedures was 109.30 mL. No cases necessitated conversion to multi-port robot, laparoscopy, or open surgery, and there were no major complications during the hospital stay or in the short-term follow-up. Early outcomes of post-radical prostatectomy indicated a biochemical recurrence rate of 4.0% over a mean follow-up duration of 6.40 months, with continence and potency recovery rates of 92.3% and 55.8%, respectively. Analysis of the learning curve showed no significant differences in operation time, console time, and positive surgical margin rates between the initial and latter 50 cases. Conclusions: Extraperitoneal SP-RARP is a feasible and safe option for the treatment of localized prostate cancer in skilled hands. Continued accrual of cases is essential for future comparisons of SP-RARP with multiport approaches.

Purpose: To evaluate the anti-inflammatory and antioxidative effects of extracorporeal shockwave therapy (ESWT) on prostatitis and explore the mechanism of alleviating pain. Materials and Methods: For in vitro testing, RWPE-1 cells were randomly divided into 5 groups: (1) RWPE-1 group (normal control), (2) LPS group (lipopolysaccharide inducing inflammation), (3) 0.1ESWT group (treated by 0.1 mJ/mm2 energy level), (4) 0.2ESWT group (treated by 0.2 mJ/mm2 energy level), and (5) 0.3ESWT group (treated by 0.3 mJ/mm2 energy level). After ESWT was administered, cells and supernatant were collected for ELISA and western blot. For in vivo testing, Sprague- Dawley male rats were randomly divided into 3 groups: (1) normal group, (2) prostatitis group, and (3) ESWT group (n=12 for each). Prostatitis was induced by 17 beta-estradiol and dihydrotestosterone (DHT) administration. Four weeks after ESWT, the pain index was assessed for all groups and prostate tissues were collected for immunohistochemistry, immunofluorescence, apoptosis analysis and, western blot. Results: Our in vitro studies showed that the optimal energy flux density of ESWT was 0.2 mJ/mm2. In vivo, ESWT ameliorated discomfort in rats with prostatitis and inflammation symptoms were improved. Compared to normal rats, overexpressed NLRP3 inflammasomes triggered apoptosis in rats with prostatitis and this was improved by ESWT. TLR4-NFκB pathway was overactive after experimental prostatitis, compared to normal and ESWT groups, and prostatitis induced alterations in BAX/ BAK pathway were inhibited by ESWT. Conclusions: ESWT improved CP/CPPS by reducing NLRP3 inflammasome and ameliorated apoptosis via inhibiting BAX/ BAK pathway in a rat model. TLR4 may play a key role in bonding NLRP3 inflammasome and BAX/BAK pathways. ESWT might be a promising approach for the treatment of CP/CPPS.

Purpose: The purpose of this study was to evaluate the efficacy and safety of red ginseng oil (RXGIN) in men with lower urinary tract symptoms. Materials and Methods: Men aged between 40 and 75 years with a total International Prostate Symptom Score (IPSS) of 8 to 19 points were recruited from April 2020 to December 2020. Subjects were randomly assigned to either the RXGIN group or the control group in a 1:1 ratio and received either RXGIN or placebo daily for 12 weeks. For the primary outcome, changes in IPSS scores at 6 and 12 weeks from baseline were analyzed. The secondary outcomes were changes in International Index of Erectile Function (IIEF), maximum urinary flow rate, and post-void residual volume at weeks 6 and 12 compared to baseline. Urine analysis and blood tests were additionally performed for safety assessment. Results: A total of 88 subjects (RXGIN group, 46; control group, 42) completed the study. The total IPSS and IPSS subscores (residual urine sensation, frequency, intermittency, urgency, weak stream, straining, nocturia, and quality of life) were significantly improved in the RXGIN group compared to the control group at weeks 6 and 12. Total IIEF and sexual desire were significantly improved in the RXGIN group at week 6 and week 12, respectively, but there were no significant changes in the level of serum testosterone or dihydrotestosterone. The serum prostate-specific antigen showed significant decrease at weeks 12. No serious adverse events leading to discontinuation of the study drug were observed in the RXGIN group. Conclusions: Red ginseng oil (RXGIN) appears to be safe and effective in improving lower urinary tract symptoms in men and may also improve some aspects of sexual function.

Background: To evaluate the efficacy and safety of Cervi Parvum Cornu, Angelicae Gigantis Radix and Glycyrrhizae Radix complex (CAG) in men with moderate lower urinary tract symptoms (LUTS). Materials and methods: From November 2020 to January 2022, participants with International Prostate Symptom Score (IPSS) of 12–19 in two centers were recruited and randomize into three groups: a CAG 500 mg/day group (CAG 500), a CAG 1000 mg/day group (CAG 1000), and a placebo group (PG). They were treated for 12 weeks. The primary endpoint was change of IPSS at the end of study from baseline. Secondary end points included change of prostate specific antigen (PSA), testosterone, dihydrotestosterone (DHT), maximum urinary flow rate (Q max), post-void residual volume (PVR), International Index of Erectile Function (IIEF), and drug safety. Results: A total of 103 patients were able to finish the study according to the study protocol. Total IPSS and sub-scores (residual urine sensation, frequency, weak stream, hesistancy, nocturia, and quality of life) in CAG 500 and CAG 1000 were significantly improved at the 12th week compared to those of the PG. Changes of serum PSA, DHT, and testosterone levels at the 12th week from baseline did not show significant differences among the three groups. Q max and PVR changes did not show significant differences among the three groups either. Total IIEF and sub-scores (erectile function, orgasmic function, sexual desire, intercourse satisfaction) in CAG 1000 were significantly improved at 12th week compared to those in PG. No significant adverse events were found. Conclusions: CAG is well tolerated in patients with moderate LUTS. Treatment with CAG for 12 weeks has a therapeutic effect on moderate LUTS.

Background and Objective: This randomized controlled trial investigated the influence of perioperative lidocaine administration on the postoperative inflammatory response in patients undergoing robot-assisted radical prostatectomy, with the results having potential implications for postoperative recovery and cancer recurrence via neutrophil extracellular trapping (NETosis). Materials and Methods: In total, 58 patients with localized prostate cancer were randomly assigned to receive an intravenous infusion of 2% lidocaine or a saline placebo intraoperatively. Serum levels of interleukin (IL)-6, IL-10, and IL-17, tumor necrosis factor(TNF)-α, interferon(IFN)-γ, neutrophil elastase (NE), citrullinated histone3 (CitH3), and myeloperoxidase (MPO) were determined preoperatively and at 24 h postoperatively. Biochemical recurrence (BCR) was assessed over a follow-up period of 2 years. Results: The lidocaine group showed a significant change in MPO, a greater reduction in IL-10 level, and a smaller increase in the NE level compared to the placebo group, suggesting a modulatory effect of lidocaine on certain anti-inflammatory and neuroendocrine pathways. No significant difference in the BCR rate was observed between the two groups. Conclusions: Perioperative lidocaine administration selectively modulates certain inflammatory and neuroendocrine responses after robot-assisted radical prostatectomy surgery, potentially influencing recovery outcomes. These findings highlight the need for further investigations of the role of lidocaine in Enhanced Recovery After Surgery protocols, particularly in oncologic surgeries.

Background: Robot-assisted laparoscopic partial nephrectomy (RAPN) for renal tumor treatment provides ergonomic advantages to surgeons and improves surgical outcomes. However, moderate-to-severe pain is unavoidable even after minimally invasive surgery. Despite the growing interest in multimodal analgesia, few studies have directly compared its efficacy with intrathecal morphine, a traditional opioid-based analgesic. Methods: We retrospectively investigated the efficacy of multimodal analgesia compared with that of intrathecal analgesia and intravenous patient-controlled analgesia (IV-PCA) in patients who underwent transperitoneal RAPN at our institute between 2020 and 2022. Among the 334 patients who met the inclusion criteria, intrathecal analgesia using morphine 200 µg was performed in 131 patients, and multimodal analgesia, including transversus abdominis plane block and intraoperative infusion of paracetamol 1 g and nefopam 20 mg, was administered to 105 patients. The remaining 98 patients received postoperative IV-PCA alone. Results: As the primary outcome, the area under the curve of pain scores over 24 h was significantly lower in the intrathecal analgesia and multimodal analgesia groups than in the IV-PCA group (89 [62–108] vs. 86 [65–115] vs. 108 [87–126] h, p < 0.001). Cumulative opioid requirements were also significantly lower in the intrathecal analgesia and multimodal analgesia groups at 24 h after surgery (p < 0.001). However, postoperative nausea and vomiting were significantly increased in the intrathecal analgesia group (27.5% vs. 13.3% vs. 13.3%, p = 0.005). Conclusions: Multimodal analgesia with a transversus abdominis plane block is an efficient analgesic method with fewer adverse effects compared to other analgesic methods. Our findings suggest the efficacy and safety of a multimodal approach for opioid-sparing analgesia after RAPN in the current opioid epidemic.

Abstract Background The Canadian landscape of racial diversity in academic OHNS programs is currently unknown, as to date Canadian medical organizing bodies have refrained from collecting race-based data. However, new policy guidelines by the Canadian Medical Association support the collection of data that may be used to support equity, diversity and inclusion programs. This study aims to describe the representation of visible minorities amongst academic OHNS departments and divisions in Canada at various levels of academic seniority. Methods An online survey was distributed to members of the 13 academic OHNS department in Canada in 2022. The survey collected demographic data as well as each participant’s self-reported race and gender. The primary outcome was the comparison of the racial demographics of Canadian academic OHNS programs to Canadian census data. Secondary outcome measures assessed how demographics varied based on academic position and gender. Simple descriptive statistics were tabulated for all demographic variables. Chi-square goodness of fit analysis was used to compare survey results to anticipated demographics based on 2016 Canadian census data. Results Of 545 surveys distributed, 224 surveys were completed (response rate of 41%); 67.9% or respondents were male and 32.1% were female. Of these respondents, 71 were residents, 26 lecturers, 54 assistant professors, 39 associate professors, and 34 full professors. There was significantly greater minority representation amongst residents (47.9%), assistant professors (39.6%), and lecturers (40.7%) compared to the Canadian population (25.3%) p

Purpose: To evaluated the efficacy and safety of gelatinized Maca (Lepidium meyenii) for eugonadal patients with late onset hypogonadism symptoms (LOH). Materials and Methods: Participants were instructed to receive 1,000 mg of Maca or placebo, two pills at a time, three times per day for 12 weeks before food intake. To evaluate the efficacy of the drug, Aging Males’ Symptoms scale (AMS), Androgen Deficiency in the Aging Males (ADAM), International Prostate Symptom Score (IPSS), and International Index of Erectile Function (IIEF) questionnaires, serologic tests (total testosterone and free testosterone, total cholesterol, high density lipoprotein cholesterol, low density lipoprotein cholesterol, triglyceride), body weight, and waist circumference were assessed at 4 and 12 weeks after treatment. Results: A total of 80 participants were enrolled and randomly assigned to Maca treated group (n=41) or the placebo group (n=39). AMS, IIEF, and IPSS were significantly (p

Background: DNA methylation markers are considered robust diagnostic features in various cancer types, as epigenetic marks are commonly altered during cancer progression. Differentiation between benign prostatic hyperplasia (BPH) and early-stage prostate cancer (PCa) is clinically difficult, relying on the information of the patient's symptoms or levels of prostate-specific antigen. Methods: A total of 42 PCa patients and 11 BPH patients were recruited. Genomic DNA was purified from tissues and used for the library preparation of the target-enriched methylome with enzymatic conversion and a Twist 85 Mbp EM-seq panel. Paired-end sequencing (150 bp) was performed using NovaSeq 6000 or NextSeq 550. After quality control, including adapter trimming and de-duplication of raw sequencing data, differential methylation patterns were analyzed between the BPH and PCa groups. Results: We report DNA methylation patterns existing between BPH and PCa. The major finding is that broad hypermethylation occurred at genic loci in PCa tissues as compared to the BPH. Gene ontology analysis suggested that hypermethylation of genic loci involved in chromatin and transcriptional regulation is involved in cancer progression. We also compared PCa tissues with high Gleason scores to tissues with low Gleason scores. The high-Gleason PCa tissues showed hundreds of focal differentially methylated CpG sites corresponding to genes functioning in cancer cell proliferation or metastasis. This suggests that dissecting early-to-advanced-grade cancer stages requires an in-depth analysis of differential methylation at the single CpG site level. Conclusions: Our study reports that enzymatic methylome sequencing data can be used to distinguish PCa from BPH and advanced PCa from early-stage PCa. The stage-specific methylation patterns in this study will be valuable resources for diagnostic purposes as well as further development of liquid biopsy approaches for the early detection of PCa.

Abstract Background Aspiration pneumonia is a preventable condition that has higher rates of recurrence and mortality compared to non-aspiration pneumonia. The primary objective of the study was to examine independent patient factors that are associated with mortality in those requiring acute admission for aspiration pneumonia at a tertiary institution. Secondary goals of the study were to review whether factors such as mechanical ventilation and speech language pathology intervention can impact patient mortality, length of stay (LOS), and costs relating to hospitalization. Methods Patients older than 18 years of age who were admitted with a primary diagnosis of aspiration pneumonia from January 1, 2008 to December 31, 2018 at Unity Health Toronto-St. Michael’s hospital in Toronto, Canada, were included in the study. Descriptive analyses were performed on patient characteristics using age as a continuous variable as well as a dichotomous variable with age 65 as a cut-off. Multivariable logistic regression was used to identify independent factors that contributed to in-hospital mortality and Cox proportional-hazard regression was used to identify independent factors that affected LOS. Results A total of 634 patients were included in this study. 134 (21.1%) patients died during hospitalization with an average age of 80.3 ± 13.4. The in-hospital mortality did not change significantly over the ten-year period (p = 0.718). Patients who died had longer LOS with a median length of 10.5 days (p = 0.012). Age [Odds Ratio (OR) 1.72, 95% Confidence Interval (95% CI) 1.47–2.02, p

Background: To demonstrate the clinical usefulness of prostate-specific membrane antigen (PSMA) positron emission tomography (PET) computerized tomography (CT) for irreversible electroporation (IRE) in prostate cancer patients. Methods: From January to May 2021, 17 men were diagnosed with localized prostate cancer through preoperative mpMRI and [18F] florastamin PSMA PET-CT imaging, followed by transperineal MRI-ultrasound fusion-guided biopsy. The patients underwent IRE focal therapy at the target lesions under general anesthesia. To evaluate the treatment outcome, serum prostate-specific antigen (PSA) levels were followed up in the 1st, 3rd, 6th, 9th, 12th months, and mpMRI was taken in the 1st and 12th months, followed by MR fusion biopsy in the 12th month post-IRE. Results: The mean age of the patients was 66.1 ± 9.3 with a median PSA of 7.5 ng/ml. After the treatment, PSA nadir was 4.06 ± 3.4, and 11 (64.7%) achieved decline of PSA more than 50% from the baseline. Rate of negative biopsy for prostate cancer is 88% (15/17) at 12 months MR fusion biopsy after the IRE treatment. Among the relapsed cases, 1 (6.9%) patient recurred at margin of treated area, and 1 (6.9%) patient was from outfield recurrence. When excluding initial four patients, none of the patients had cancer recur. Conclusions: When treating with IRE focal therapy, PSMA-PET CT is a potentially valuable diagnostic approach for localizing prostate cancer; it supports the detection of lesions with conventional mpMRI, enabling to perform the procedure more completely.

Abstract Background Otolaryngology–head and neck surgical (OHNS) trainees’ operating exposure is supplemented by a combination of didactic teaching, textbook reading, and cadaveric dissections. Conventional teaching, however, may not adequately equip trainees with an understanding of complex visuospatial relationships of the middle ear. Both face and content validation were assessed of a novel three-dimensional (3D) photorealistic virtual ear simulation tool underwent face and content validation as an educational tool for OHNS trainees. Methods A three-dimensional mesh reconstruction of open access imaging was generated using geometric modeling, which underwent global illumination, subsurface scattering, and texturing to create photorealistic virtual reality (VR) ear models were created from open access imaging and comiled into a educational platform. This was compiled into an educational VR platform which was explored to validate the face and content validity questionnaires in a prospective manner. OHNS post-graduate trainees were recruited from University of Toronto and University of Calgary OHNS programs. Participation was on a voluntary basis. Results Total of 23 OHNS post-graduate trainees from the two universities were included in this study. The mean comfort level of otologic anatomy was rated 4.8 (± 2.2) out of 10. Senior residents possessed more otologic surgical experience (P

Purpose: To evaluate the efficacy and safety of Quisqualis indica in men with moderate lower urinary tract symptoms (LUTS). Materials and Methods: A total of 135 subjects with International Prostate Symptom Score (IPSS) of 8–19 were randomized in 2 centers from June 2018 to April 2019. Patients were assigned into one of the three groups: a low-dose group (LG, 1,000 mg Q. indica), a high-dose group (HG, 2,000 mg Q. indica) or a placebo group (PG). The primary endpoint was the change of IPSS at the end of treatment from baseline. Secondary end points included the changes of prostate specific antigen, testosterone, dihydrotestosterone, maximum urinary flow rate (Qmax), postvoid residual volume (PVR) and International Index of Erectile Function-5 (IIEF-5), with drug safety. Results: 113 patients were able to finish the study. Compared to the PG, total IPSS in the LG and the HG was significantly improved at 6 weeks and 12 weeks. For IPSS subscores, LG showed improvements in all except for urgency and quality of life at 6 weeks. HG showed improvements in incomplete emptying and frequency at 6 weeks and 12 weeks along with improvements in intermittency, straining, and quality of life at 12 weeks. For IIEF-5 subscores, orgasmic function and overall satisfaction improved in HG when compared to PG at 12 weeks. Lastly, increase of Qmax and decrease of PVR was observed at 6 weeks in LG. Conclusions: 12-week treatment with Q. indica has a therapeutic effect and is well tolerated in patients with LUTS.

Abstract Objectives To evaluate the incidence of positive cystic fluid cytology and its risk factors in cystic renal cell carcinoma (RCC) addressing its implication on the current surgical practice. Methods All clinically diagnosed Bosniak III, IV cystic renal masses from March 2019 to August 2022 were studied prospectively. Database of patients’ demographics and cystic tumor characteristics were recorded. Partial or radical nephrectomies were performed by either laparoscopic or robotic approach. Cystic fluid was collected right after specimen retrieval in the surgical field and examined by pathologist. Cytology results were compared to the demographic, perioperative variables using univariate and multivariate analysis. Results A total of 70 patients of histologically confirmed cystic RCC were included. Sixty seven patients underwent radical nephrectomy with laparoscopic or robotic approaches, while 3 patients underwent radical nephrectomy. There was no intraoperative cystic rupture or fluid spillage. Positive cystic fluid cytology findings were identified in 34 (48.6%) patients, while negative cystic fluid cytology were identified in 36 (51.4%) cases. Definite malignant cells were observed in 28 patients while the other six patients showed highly suspicious atypical cells. Histologically, 24 (70.8%) patients were proven clear cell RCC and 25 (73%) showed Fuhrman grade 1 or 2 in final histologic review in positive group. Univariate and multivariate regression analysis between positive and negative cytology groups showed that the presence of the malignant cells in cystic fluid was significantly associated with patients’ age (> 55 years) and Bosniak grade of cystic tumor (p 55 years) and Bosniak grade were the significant risk factors of positive cytology in cystic RCC. Therefore, necessity of meticulous manipulation of cystic renal tumors, despite their clinical features, should not be underemphasized to avoid the least possible tumor cell seeding in case of cystic rupture when operating such high risk of positive cytology.

The mechanical ventilation systems used in houses are designed to reduce carbon dioxide emissions while minimizing the energy loss resulting from ventilation. However, the increase in indoor fine particulate (PM2.5) concentration because of external PM2.5 influx through the ventilation system poses a problem. Here, we analyzed the changes in indoor PM2.5 concentration, distinguishing between cases of high and low outdoor PM2.5 concentrations and considering the efficiency of the filters used in residential mechanical ventilation systems. When using filters with the minimum efficiency reporting value (MERV) of 10 in the ventilation system, the outdoor PM2.5 concentration was 5 μg/m³; compared to the initial concentration, the indoor PM2.5 concentration after 60 min decreased to 73%. When the outdoor PM2.5 concentration was 30–40 μg/m³, the indoor PM2.5 concentration reached 91%. However, when MERV 13 filters were used, the indoor PM2.5 concentration consistently dropped to 73–76%, regardless of the outdoor PM2.5 concentration. Furthermore, by comparing the established equation with the mass balance model, the error was confirmed to be within 5%, indicating a good fit. This allows for the prediction of indoor PM2.5 under various conditions when using mechanical ventilation systems, enabling the formulation of strategies for maintaining indoor PM2.5, as recommended by the World Health Organization.

The educational and play-related activities of children proceed mainly indoors in a kindergarten. High concentrations of indoor PM2.5 and CO2 have been linked to various harmful effects on children, considerably impacting their educational outcomes in kindergarten. In this study, we explore different scenarios involving the operation of mechanical ventilation systems and air purifiers in kindergartens. Using numerical models to analyze indoor CO2 and PM2.5 concentration, we aim to optimize strategies that effectively reduce these harmful pollutants. We found that the amount of ventilation required to maintain good air quality, per child, was approximately 20.4 m3/h. However, we also found that as the amount of ventilation increased, so did the concentration of indoor PM2.5; we found that this issue can be resolved using a high-grade filter (i.e., a MERV 13 grade filter with a collection efficiency of 75%). This study provides a scientific basis for reducing PM2.5 concentrations in kindergartens, while keeping CO2 levels low.

Background: The purpose of this study was to determine the influence of preoperative factors on the recovery of continence after artificial urinary sphincter (AUS) implantation in postprostatectomy incontinence. Materials and methods: Seventy-two patients who underwent AUS implantation between April 2006 and March 2020 were analyzed. The clinical features and preoperative urodynamic parameters were correlated with the postoperative continence rate using linear and logistic regression analysis. The recovery of continence was defined by the patient requiring no use of a protective urine pad during the 24 hours. Results: Of the 72 patients, 57 (79.2%) recovered continence (dry group), while 15 (20.8%) were wearing more than 1 pad per day (wet group) on the last follow-up visit. In the clinical characteristics, only the interval between radical prostatectomy and AUS (in months) showed a statistically significant difference (35.4 ± 26.2 in the dry group, 22.7 ± 12.2 in the wet group, p = 0.009). Other preoperative clinical features such as the underlying disease, surgical methods, size of prostate, tumor stage, and radio nor hormonal therapy did not present statistically significant differences.Of the preoperative urodynamic parameters, only the abdominal leak point pressure (ALPP) showed statistical significance when related to surgical outcomes by 88.6 ± 33.6 in the dry group and 66.1 ± 29.6 in wet the group (P = 0.024). The number of patients for whom ALPP was higher than 80 cm H2O was 61.4% in the dry group and 20% in the wet group (95% confidence interval: 1.612-25.11). Other preoperative UDS features including detrusor underactivity, maximum urethral closure pressure, and others were not statistically significant. Conclusions: The interval between RP and AUS, as well as the preoperative ALPP, can be possible predictive factors for the surgical outcomes of AUS implantation. In addition, an ALPP of >80 cm H2O has a high degree of predictability for success of AUS surgical outcomes in post-RP incontinence.

Simple tests of routine data are needed for those with severe acute respiratory syndrome coronavirus 2, which causes corona virus disease 2019 (COVID‐19), to help identify those who may need mechanical ventilation (MV). In this study, we aimed to determine if fibrosis‐4 (FIB‐4) is associated with the need for MV in patients with COVID‐19 and if there is an association to determine the optimal FIB‐4 cutoff. This was a retrospective, national, multiethnic cohort study of adults seen in an ambulatory or emergency department setting who were diagnosed with COVID‐19. We used the TriNetX platform for analysis. Measures included demographics, comorbid diseases, and routine laboratory tests. A total of 4,901 patients with COVID‐19 were included. Patients had a mean age of 56, 48% were women, 42% were obese, 38% were white, 40% were black, 15% had cardiac disease, 39% had diabetes mellitus, 20% had liver disease, and 50% had respiratory disease. The need for MV was 6%. The optimal FIB‐4 cutoff for the need for MV was 3.04 (area under the curve, 0.735), which had sensitivity, specificity, and positive and negative predictive values of 42%, 77%, 11%, and 95%, respectively, with 93% accuracy. When stratified by race, increased FIB‐4 remained associated with the need for MV in both white and black patients. Conclusion: FIB‐4 can be used by frontline providers to identify patients that may require MV.

Abstract Background Patient-specific dose prediction improves the efficiency and quality of radiation treatment planning and reduces the time required to find the optimal plan. In this study, a patient-specific dose prediction model was developed for a left-sided breast clinical case using deep learning, and its performance was compared with that of conventional knowledge-based planning using RapidPlan™. Methods Patient-specific dose prediction was performed using a contour image of the planning target volume (PTV) and organs at risk (OARs) with a U-net-based modified dose prediction neural network. A database of 50 volumetric modulated arc therapy (VMAT) plans for left-sided breast cancer patients was utilized to produce training and validation datasets. The dose prediction deep neural network (DpNet) feature weights of the previously learned convolution layers were applied to the test on a cohort of 10 test sets. With the same patient data set, dose prediction was performed for the 10 test sets after training in RapidPlan. The 3D dose distribution, absolute dose difference error, dose-volume histogram, 2D gamma index, and iso-dose dice similarity coefficient were used for quantitative evaluation of the dose prediction. Results The mean absolute error (MAE) and one standard deviation (SD) between the clinical and deep learning dose prediction models were 0.02 ± 0.04%, 0.01 ± 0.83%, 0.16 ± 0.82%, 0.52 ± 0.97, − 0.88 ± 1.83%, − 1.16 ± 2.58%, and − 0.97 ± 1.73% for D95%, Dmean in the PTV, and the OARs of the body, left breast, heart, left lung, and right lung, respectively, and those measured between the clinical and RapidPlan dose prediction models were 0.02 ± 0.14%, 0.87 ± 0.63%, − 0.29 ± 0.98%, 1.30 ± 0.86%, − 0.32 ± 1.10%, 0.12 ± 2.13%, and − 1.74 ± 1.79, respectively. Conclusions In this study, a deep learning method for dose prediction was developed and was demonstrated to accurately predict patient-specific doses for left-sided breast cancer. Using the deep learning framework, the efficiency and accuracy of the dose prediction were compared to those of RapidPlan. The doses predicted by deep learning were superior to the results of the RapidPlan-generated VMAT plan.

(1) In this study, we developed a deep learning (DL) model that can be used to predict late bladder toxicity. (2) We collected data obtained from 281 uterine cervical cancer patients who underwent definitive radiation therapy. The DL model was trained using 16 features, including patient, tumor, treatment, and dose parameters, and its performance was compared with that of a multivariable logistic regression model using the following metrics: accuracy, prediction, recall, F1-score, and area under the receiver operating characteristic curve (AUROC). In addition, permutation feature importance was calculated to interpret the DL model for each feature, and the lightweight DL model was designed to focus on the top five important features. (3) The DL model outperformed the multivariable logistic regression model on our dataset. It achieved an F1-score of 0.76 and an AUROC of 0.81, while the corresponding values for the multivariable logistic regression were 0.14 and 0.43, respectively. The DL model identified the doses for the most exposed 2 cc volume of the bladder (BD2cc) as the most important feature, followed by BD5cc and the ICRU bladder point. In the case of the lightweight DL model, the F-score and AUROC were 0.90 and 0.91, respectively. (4) The DL models exhibited superior performance in predicting late bladder toxicity compared with the statistical method. Through the interpretation of the model, it further emphasized its potential for improving patient outcomes and minimizing treatment-related complications with a high level of reliability.

Abstract Background Accurate and standardized descriptions of organs at risk (OARs) are essential in radiation therapy for treatment planning and evaluation. Traditionally, physicians have contoured patient images manually, which, is time-consuming and subject to inter-observer variability. This study aims to a) investigate whether customized, deep-learning-based auto-segmentation could overcome the limitations of manual contouring and b) compare its performance against a typical, atlas-based auto-segmentation method organ structures in liver cancer. Methods On-contrast computer tomography image sets of 70 liver cancer patients were used, and four OARs (heart, liver, kidney, and stomach) were manually delineated by three experienced physicians as reference structures. Atlas and deep learning auto-segmentations were respectively performed with MIM Maestro 6.5 (MIM Software Inc., Cleveland, OH) and, with a deep convolution neural network (DCNN). The Hausdorff distance (HD) and, dice similarity coefficient (DSC), volume overlap error (VOE), and relative volume difference (RVD) were used to quantitatively evaluate the four different methods in the case of the reference set of the four OAR structures. Results The atlas-based method yielded the following average DSC and standard deviation values (SD) for the heart, liver, right kidney, left kidney, and stomach: 0.92 ± 0.04 (DSC ± SD), 0.93 ± 0.02, 0.86 ± 0.07, 0.85 ± 0.11, and 0.60 ± 0.13 respectively. The deep-learning-based method yielded corresponding values for the OARs of 0.94 ± 0.01, 0.93 ± 0.01, 0.88 ± 0.03, 0.86 ± 0.03, and 0.73 ± 0.09. The segmentation results show that the deep learning framework is superior to the atlas-based framwork except in the case of the liver. Specifically, in the case of the stomach, the DSC, VOE, and RVD showed a maximum difference of 21.67, 25.11, 28.80% respectively. Conclusions In this study, we demonstrated that a deep learning framework could be used more effectively and efficiently compared to atlas-based auto-segmentation for most OARs in human liver cancer. Extended use of the deep-learning-based framework is anticipated for auto-segmentations of other body sites.

[177Lu]Ludotadipep, which enables targeted delivery of beta-particle radiation to prostate tumor cells, had been suggested as a promising therapeutic option for mCRPC. From November 2020 to March 2022, a total of 30 patients were enrolled for single dose of [177Lu]Ludotadipep RPT, 6 subjects in each of the 5 different activity groups of 1.9 GBq, 2.8 GBq, 3.7 GBq, 4.6 GBq, and 5.6 GBq. [177Lu]Ludotadipep was administered via venous injection, and patients were hospitalized for three days to monitor for any adverse effects. Serum PSA levels were followed up at weeks 1, 2, 3, 4, 6, 8, and 12, and PSMA PET/CT with [18F]Florastamin was obtained at baseline and again at weeks 4 and 8. The subjects required positive PSMA PET/CT prior to [177Lu]Ludotadipep administration. Among the 29 subjects who received [177Lu]Ludotadipep, 36 treatment emergent adverse events (TEAEs) occurred in 17 subjects (58.6%) and 4 adverse drug reactions (ADRs) in 3 subjects (10.3%). Of the total 24 subjects who had full 12-week follow-up data, 16 (66.7%) showed decrease in PSA of any magnitude, and 9 (37.5%) showed a decrease in PSA by 50% or greater. A total of 5 of the 24 patients (20.8%) showed disease progression (PSA increase of 25% or higher from the baseline) at the 12th week following single dose of [177Lu]Ludotadipep. These data thus far suggest that [177Lu]Ludotadipep could be a promising RPT agent with low toxicity in mCRPC patients who have not been responsive to conventional treatments.

This research addresses the problem of interobserver variability (IOV), in which different oncologists manually delineate varying primary gross tumor volume (pGTV) contours, adding risk to targeted radiation treatments. Thus, a method of IOV reduction is urgently needed. Hypothesizing that the radiation oncologist’s IOV may shrink with the aid of IOV maps, we propose IOV prediction network (IOV-Net), a deep-learning model that uses the fuzzy membership function to produce high-quality maps based on computed tomography (CT) images. To test the prediction accuracy, a ground-truth pGTV IOV map was created using the manual contour delineations of radiation therapy structures provided by five expert oncologists. Then, we tasked IOV-Net with producing a map of its own. The mean squared error (prediction vs. ground truth) and its standard deviation were 0.0038 and 0.0005, respectively. To test the clinical feasibility of our method, CT images were divided into two groups, and oncologists from our institution created manual contours with and without IOV map guidance. The Dice similarity coefficient and Jaccard index increased by ~6 and 7%, respectively, and the Hausdorff distance decreased by 2.5 mm, indicating a statistically significant IOV reduction (p < 0.05). Hence, IOV-net and its resultant IOV maps have the potential to improve radiation therapy efficacy worldwide.

To automatically identify optimal beam angles for proton therapy configured with the double-scattering delivery technique, a beam angle optimization method based on a convolutional neural network (BAODS-Net) is proposed. Fifty liver plans were used for training in BAODS-Net. To generate a sequence of input data, 25 rays on the eye view of the beam were determined per angle. Each ray collects nine features, including the normalized Hounsfield unit and the position information of eight structures per 2° of gantry angle. The outputs are a set of beam angle ranking scores (Sbeam) ranging from 0° to 359°, with a step size of 1°. Based on these input and output designs, BAODS-Net consists of eight convolution layers and four fully connected layers. To evaluate the plan qualities of deep-learning, equi-spaced, and clinical plans, we compared the performances of three types of loss functions and performed K-fold cross-validation (K = 5). For statistical analysis, the volumes V27Gy and V30Gy as well as the mean, minimum, and maximum doses were calculated for organs-at-risk by using a paired-samples t-test. As a result, smooth-L1 loss showed the best optimization performance. At the end of the training procedure, the mean squared errors between the reference and predicted Sbeam were 0.031, 0.011, and 0.004 for L1, L2, and smooth-L1 loss, respectively. In terms of the plan quality, statistically, PlanBAO has no significant difference from PlanClinic (P >.05). In our test, a deep-learning based beam angle optimization method for proton double-scattering treatments was developed and verified. Using Eclipse API and BAODS-Net, a plan with clinically acceptable quality was created within 5 min.

This paper proposes a robotic system that automatically identifies and removes spatters generated while removing the back-bead left after the electric resistance welding of the outer and inner surfaces during pipe production. Traditionally, to remove internal spatters on the front and rear of small pipes with diameters of 18–25 cm and lengths of up to 12 m, first, the spatter locations (direction and length) are determined using a camera that is inserted into the pipe, and then a manual grinder is introduced up to the point where spatters were detected. To optimize this process, the proposed robotic system automatically detects spatters by analyzing the images from a front camera and removes them, using a grinder module, based on the spatter location and the circumferential coordinates provided by the detection step. The proposed robot can save work time by reducing the required manual work from two points (the front and back of the pipe) to a single point. Image recognition enables the detection of spatters with sizes between 0.1 and 10 cm with 94% accuracy. The internal average roughness, Ra, of the pipe was confirmed to be 1 µm or less after the spatters were finally removed.

It is important to control airborne particles in residential houses for protecting human health. Indoor particulate matter of 2.5) can be effectively monitored and managed using an air purifier. In this study, the actual clean air delivery rates in residential houses (CADRActual) were acquired by comparing decay rates of fine particles with and without operations of the air purifier under actual conditions, following the standard CADR of an air purifier obtained in a closed test chamber. The measurements of CADRActual at different outdoor PM2.5 concentrations over a month in two residential houses revealed different airtightness levels, compared to the standardized clean air delivery rate of the air purifier (CADRAP). Air changes per hour at 50 Pa (ACH50) was 4.8 h−1 for “house A” (built in 2007) and 2.1 h−1 for “house B” (built in 2018). The CADR of the air purifier used in this study was 10.6 m3/min, while the averaged CADRActual at the “house A” was 7.2 m3/min (approximately 66% of the CADR of the air purifier) and 9.5 m3/min at “house B” (approximately 90% of the CADR of the air purifier). Under the outdoor PM2.5 concentrations of 3, the averaged CADRActual of house A and house B were 7.8 ± 0.3 and 9.7 ± 0.4 m3/min, respectively. However, under the outdoor PM2.5 concentrations of >35 μg/m3, the analogous averaged concentrations were 6.8 ± 0.6 and 9.6 ± 0.3 m3/min for houses A and B, respectively. The measured CADRActual agreed well with the theoretical estimates of CADRActual acquired by the mass balance equation using the infiltration rate of ACH50/20. We also estimated CADRActual/CADRAP for house C built in 2017, where the ACH50 was 1.8 h−1. Overall, this study demonstrated how CADRActual/CADRAP of an air purifier at residential houses can be predicted according to outdoor PM2.5 concentration and airtightness of the house. As shown, it can be closer to 1 at lower ACH50 houses and at lower outdoor PM2.5 concentrations.

Indoor PM2.5 must be effectively controlled to minimize adverse impacts on public health. Cooking is one of the main sources of PM2.5 in residential areas, and indoor air quality (IAQ) management methods such as natural and mechanical ventilation, range hood, and air purifier are typically used to reduce cooking-generated PM2.5 concentrations. However, studies on the combined effects of various IAQ management methods on indoor PM2.5 reduction and energy consumption are limited. In this study, a theoretical model was established to estimate the performance of various IAQ management methods for controlling indoor PM2.5 concentrations and energy consumption. The model was verified by comparative experiments in which, various IAQ management methods were operated individually or combined. Seasonal energy consumption was calculated through the verified model, and energy consumption saving scenarios were derived for maintaining indoor PM2.5 concentrations less than 10 μg/m3, a World Health Organization annual guideline, under fair and poor outdoor PM2.5 concentrations of 15 and 50 μg/m3, respectively. Based on our results, we found that energy consumption could be reduced significantly by applying natural ventilation in spring, autumn, and summer and mechanical ventilation in winter. Our study identified efficient energy saving PM2.5 management scenarios using various IAQ management methods by predicting indoor PM2.5 concentration and energy consumption according to the annual life patterns of typical residents in South Korea.

To identify the long-term trend of particle size variation, we analyzed aerosol optical depth (AOD, τ) separated as dust (τD) and coarse-(τPC) and fine-pollution particles (τPF) depending on emission sources and size. Ångström exponent values are also identified separately as total and fine-mode particles (αT and αPF). We checked these trends in various ways; (1) first-order linear regression analysis of the annual average values, (2) percent variation using the slope of linear regression method, and (3) a reliability analysis using the Mann–Kendall (MK) test. We selected 17 AERONET sun/sky radiometer sites classified into six regions, i.e., Europe, North Africa, the Middle East, India, Southeast Asia, and Northeast Asia. Although there were regional differences, τ decreased in Europe and Asian regions and increased in the Middle East, India, and North Africa. Values of τPC and τPF, show that aerosol loading caused by non-dust aerosols decreased in Europe and Asia and increased in India. In particular, τPF considerably decreased in Europe and Northeast Asia (95% confidential levels in MK-test), and τPC decreased in Northeast Asia (Z-values for Seoul and Osaka are −2.955 and −2.306, respectively, statistically significant if |z| ≥ 1.96). The decrease in τPC seems to be because of the reduction of primary and anthropogenic emissions from regulation by air quality policies. The meaningful result in this paper is that the particle size became smaller, as seen by values of αT that decreased by −3.30 to −30.47% in Europe, North Africa, and the Middle East because αT provides information on the particle size. Particle size on average became smaller over India and Asian regions considered in our study due to the decrease in coarse particles. In particular, an increase of αPF in most areas shows the probability that the average particle size of fine-mode aerosols became smaller in recent years. We presumed the cause of the increase in αT is because relatively large-sized fine-mode particles were eliminated due to air quality policies.

Several detectors have been developed to measure radiation doses during radiotherapy. However, most detectors are not flexible. Consequently, the airgaps between the patient surface and detector could reduce the measurement accuracy. Thus, this study proposes a dose measurement system based on a flexible copper indium gallium selenide (CIGS) solar cell. Our system comprises a customized CIGS solar cell (with a size 10 × 10 cm2 and thickness 0.33 mm), voltage amplifier, data acquisition module, and laptop with in-house software. In the study, the dosimetric characteristics, such as dose linearity, dose rate independence, energy independence, and field size output, of the dose measurement system in therapeutic X-ray radiation were quantified. For dose linearity, the slope of the linear fitted curve and the R-square value were 1.00 and 0.9999, respectively. The differences in the measured signals according to changes in the dose rates and photon energies were

The feasibility of proton minibeam radiation therapy (pMBRT) using a multislit collimator (MSC) and a scattering device was evaluated for clinical use at a clinical proton therapy facility. We fabricated, through Monte Carlo (MC) simulations, not only an MSC with a high peak-to-valley dose ratio (PVDR) at the entrance of the proton beam, to prevent radiation toxicity, but also a scattering device to modulate the PVDR in depth. The slit width and center-to-center distance of the diverging MSC were 2.5 mm and 5.0 mm at the large end, respectively, and its thickness and available field size were 100 mm and 76 × 77.5 mm2, respectively. Spatially fractionated dose distributions were measured at various depths using radiochromic EBT3 films and also tested on bacterial cells. MC simulation showed that the thicker the MSC, the higher the PVDR at the phantom surface. Dosimetric evaluations showed that lateral dose profiles varied according to the scatterer’s thickness, and the depths satisfying PVDR = 1.1 moved toward the surface as their thickness increased. The response of the bacterial cells to the proton minibeams’ depth was also established, in a manner similar to the dosimetric pattern. Conclusively, these results strongly suggest that pMBRT can be implemented in clinical centers by using MSC and scatterers.

BackgroundThis study investigated the effect of accumulated doses on radio-photoluminescence glass dosimeters (RPLGDs) from measurements involving mega-voltage photons.MethodsForty-five commercially available RPLGDs were irradiated to estimate their dose responses. Photon beams of 6, 10, and 15 MV were irradiated onto the RPLGDs inside a phantom, which were divided into five groups with different doses and energies. Groups 1 and 2 were irradiated at 1, 5, 10, 50, and 100 Gy in a sequential manner; Group 3 was irradiated 10 times with a dose of 10 Gy; and Groups 4 and 5 followed the same method as that of Group 3, but with doses of 50 Gy and 100 Gy, respectively. Each device was subjected to a measurement reading procedure each time irradiation.ResultsFor the annealed Group 1, RPLGD exhibited a linearity response with variance within 5%. For the non-annealed Group 2, readings demonstrated hyperlinearity at 6 MV and 10 MV, and linearity at 15 MV. Following the 100 Gy irradiation, the readings for Group 2 were 118.7 ± 1.9%, 112.2 ± 2.7%, and 101.5 ± 2.3% at 6, 10, and 15 MV, respectively. For Groups 3, 4, and 5, the responsiveness of the RPLGDs gradually decreased as the number of repeated irradiations increased. The percentage readings for the 10th beam irradiation with respect to the readings for the primary beam irradiation were 84.6 ± 1.9%, 87.5 ± 2.4%, and 93.0 ± 3.0% at 6 MV, 10 MV, and 15 MV, respectively.ConclusionsThe non-annealed RPLGD response to dose was hyperlinear for the 6 MV and 10 MV photon beams but not for the 15 MV photon beam. Additionally, the annealed RPLGD exhibited a fading phenomenon when the measurement was repeated several times and demonstrated a relatively large fading effect at low energies than at high energies.

Aerosol types in Asian capital cities were classified using a random forest (RF) satellite-based aerosol classification model during 2018–2020 in an investigation of the contributions of aerosol types, with or without Aerosol Robotic Network (AERONET) observations. In this study, we used the recently developed RF aerosol classification model to detect and classify aerosols into four types: pure dust, dust-dominated aerosols, strongly absorbing aerosols, and non-absorbing aerosols. Aerosol optical and microphysical properties for each aerosol type detected by the RF model were found to be reasonably consistent with those for typical aerosol types. In Asian capital cities, pollution-sourced aerosols, especially non-absorbing aerosols, were found to predominate, although Asian cities also tend to be seasonally affected by natural dust aerosols, particularly in East Asia (March–May) and South Asia (March–August). No specific seasonal effects on aerosol type were detected in Southeast Asia, where there was a predominance of non-absorbing aerosols. The aerosol types detected by the RF model were compared with those identified by other aerosol classification models. This study indicates that the satellite-based RF model may be used as an alternative in the absence of AERONET sites or observations.

Brachytherapy is an important technique to increase the overall survival of cervical cancer patients. However, a possible shift of the applicators in relation to the target and organs at risk may occur between imaging and treatment. Without daily adaptive brachytherapy planning, these applicator displacements can lead to a significant change in dose distribution. In order to resolve it, a robust optimization method had been developed using a genetic algorithm combined with a median absolute deviation as a robustness evaluation function. The resulting robustness plans from our strategy might be worth considering according to the GEC-ESTRO guidelines. From the point of view of dose delivery uncertainty from applicator displacement, the robust optimization may be considered with caution in a single-plan approach for High Dose Rate brachytherapy treatment planning and should be confirmed by a more thorough investigation.

This study describes the development of a beam monitoring system for the verification of entrance dose map in pencil beam scanning (PBS) proton therapy based on fiber optic radiation sensors (FORS) and the validation of this system through a feasibility study. The beam monitoring system consisted of 128 optical fibers optically coupled to photo-multiplier tubes. The performance of the beam monitoring system based on FORS was verified by comparing 2D dose maps of square-shaped fields of various sizes, which were obtained using conventional dosimeters such as MatriXX and EBT3 film, with those measured using FORS. The resulting full-width at half maximum and penumbra were compared for PBS proton beams, with a ≤2% difference between each value, indicating that measurements using the conventional dosimetric tool corresponded to measurements based on FORS. For irregularly-shaped fields, a comparison based on the gamma index between 2D dose maps obtained using MatriXX and EBT3 film and the 2D dose map measured by the FORS showed passing rates of 96.9 ± 1.3% and 96.2 ± 1.9%, respectively, confirming that FORS-based measurements for PBS proton therapy agreed well with those measured using the conventional dosimetric tools. These results demonstrate that the developed beam monitoring system based on FORS is good candidate for monitoring the entrance dose map in PBS proton therapy.