Successful treatment of an early invasive oral squamous cell carcinoma with topical 5-aminolevulinic acid-mediated photodynamic therapy

Our previous studies showed successful treatment of a series of 36 oral verrucous hyperplasia lesions and of an extensive oral verrucous carcinoma with a topical 5-aminolevulinic acid (ALA)-mediated photodynamic therapy (topical ALA-PDT) protocol (with a fluence rate of 100 mW/cm2 and a light exposure dose of 100 J/cm2) using a 635-nm light-emitting diode (LED) light source. In this case report, we tested whether an enhanced topical ALA-PDT protocol (with a fluence rate of 200 mW/cm2 and a light exposure dose of 200 J/cm2) could be used to treat an early invasive oral squamous cell carcinoma (OSCC) with a verrucous appearance of the left lower posterior edentulous alveolar mucosa of a 67-year-old male former areca-quid chewer and ex-smoker. The main verrucous lesion showed complete regression after eight treatments with PDT. However, 10 extra treatments were needed to eradicate the multiple residual leukoplakia lesions on the edentulous alveolar mucosa. Moderate to severe post-PDT pain was noted during the initial eight treatments, and the patient needed analgesics (codeine phosphate, 30 mg three times daily) to control the pain. No recurrence of the OSCC lesion was found after a follow-up period of 4 years. We suggest that our enhanced topical ALA-PDT protocol may have good potential to be used as a treatment of choice for a superficially invasive OSCC without regional or distant metastasis before the commencement of other effective therapies

DDI-CoCo: A Dataset For Understanding The Effect Of Color Contrast In Machine-Assisted Skin Disease Detection

Skin tone as a demographic bias and inconsistent human labeling poses challenges in dermatology AI. We take another angle to investigate color contrast's impact, beyond skin tones, on malignancy detection in skin disease datasets: We hypothesize that in addition to skin tones, the color difference between the lesion area and skin also plays a role in malignancy detection performance of dermatology AI models. To study this, we first propose a robust labeling method to quantify color contrast scores of each image and validate our method by showing small labeling variations. More importantly, applying our method to \textit{the only} diverse-skin tone and pathologically-confirmed skin disease dataset DDI, yields \textbf{DDI-CoCo Dataset}, and we observe a performance gap between the high and low color difference groups. This disparity remains consistent across various state-of-the-art (SoTA) image classification models, which supports our hypothesis. Furthermore, we study the interaction between skin tone and color difference effects and suggest that color difference can be an additional reason behind model performance bias between skin tones. Our work provides a complementary angle to dermatology AI for improving skin disease detection.Comment: 5 pages, 4 figures, 2 tables, Accepted to ICASSP 202

Hotspot Analysis of Spatial Environmental Pollutants Using Kernel Density Estimation and Geostatistical Techniques

Concentrations of four heavy metals (Cr, Cu, Ni, and Zn) were measured at 1,082 sampling sites in Changhua county of central Taiwan. A hazard zone is defined in the study as a place where the content of each heavy metal exceeds the corresponding control standard. This study examines the use of spatial analysis for identifying multiple soil pollution hotspots in the study area. In a preliminary investigation, kernel density estimation (KDE) was a technique used for hotspot analysis of soil pollution from a set of observed occurrences of hazards. In addition, the study estimates the hazardous probability of each heavy metal using geostatistical techniques such as the sequential indicator simulation (SIS) and indicator kriging (IK). Results show that there are multiple hotspots for these four heavy metals and they are strongly correlated to the locations of industrial plants and irrigation systems in the study area. Moreover, the pollution hotspots detected using the KDE are the almost same to those estimated using IK or SIS. Soil pollution hotspots and polluted sampling densities are clearly defined using the KDE approach based on contaminated point data. Furthermore, the risk of hazards is explored by these techniques such as KDE and geostatistical approaches and the hotspot areas are captured without requiring exhaustive sampling anywhere

Significant association of hematinic deficiencies and high blood homocysteine levels with burning mouth syndrome

Background/PurposeBurning mouth syndrome (BMS) is characterized by a burning sensation of the oral mucosa in the absence of clinically apparent mucosal alterations. In this study, we evaluated whether there was an intimate association of the deficiency of hemoglobin (Hb), iron, vitamin B12, or folic acid; high blood homocysteine level; and serum gastric parietal cell antibody (GPCA) positivity with BMS.MethodsBlood Hb, iron, vitamin B12, folic acid, and homocysteine concentrations and the serum GPCA level were measured in 399 BMS patients and compared with the corresponding levels in 399 age- and sex-matched healthy control individuals.ResultsWe found that 89 (22.3%), 81 (20.3%), 10 (2.5%), and six (1.5%) BMS patients had deficiencies of Hb (men: <13 g/dL, women: <12 g/dL), iron (<60 μg/dL), vitamin B12 (<200 pg/mL), and folic acid (<4 ng/mL), respectively. Moreover, 89 (22.3%) BMS patients had abnormally high blood homocysteine level and 53 (13.3%) had serum GPCA positivity. BMS patients had a significantly higher frequency of Hb, iron, or vitamin B12 deficiency; of abnormally elevated blood homocysteine level; or of serum GPCA positivity than the healthy control group (all p < 0.001 except for vitamin B12 deficiency, for which p = 0.004). However, no significant difference in frequency of folic acid deficiency (p = 0.129) was found between BMS patients and healthy control individuals.ConclusionWe conclude that there is a significant association of deficiency of Hb, iron, and vitamin B12; abnormally high blood homocysteine level; and serum GPCA positivity with BMS

Rethinking Backdoor Attacks on Dataset Distillation: A Kernel Method Perspective

Dataset distillation offers a potential means to enhance data efficiency in deep learning. Recent studies have shown its ability to counteract backdoor risks present in original training samples. In this study, we delve into the theoretical aspects of backdoor attacks and dataset distillation based on kernel methods. We introduce two new theory-driven trigger pattern generation methods specialized for dataset distillation. Following a comprehensive set of analyses and experiments, we show that our optimization-based trigger design framework informs effective backdoor attacks on dataset distillation. Notably, datasets poisoned by our designed trigger prove resilient against conventional backdoor attack detection and mitigation methods. Our empirical results validate that the triggers developed using our approaches are proficient at executing resilient backdoor attacks.Comment: 19 pages, 4 figure

Vocal cord dysfunction diagnosed by four-dimensional dynamic volume computed tomography in patients with difficult-to-treat asthma: A case series

Patients with asthma may also have vocal cord dysfunction (VCD), which leads to poor control of the asthma. Once patients are diagnosed with difficult-to-treat asthma with poor control, VCD should be excluded or treated accordingly. The gold standard for diagnosis of VCD is to perform a laryngoscopy. However, this procedure is invasive and may not be suitable for patients with difficult-to-treat asthma. Four-dimensional (4D) dynamic volume computed tomography (CT) is a noninvasive method for quantification of laryngeal movement, and can serve as an alternative for the diagnosis of VCD. Herein, we present a series of five cases with difficult-to-treat asthma patients who were diagnosed with VCD by 4D dynamic volume CT. Clinicians should be alert to the possibility of VCD when poor control is noted in patients with asthma. Early diagnosis by noninvasive 4D dynamic volume CT can decrease excessive doses of inhaled corticosteroids

Rainfall Variation under Different Climate Change Scenarios Based on Cmip3 and Cmip5 Projections: a Case Study in Taiwan

Source: ICHE Conference Archive - https://mdi-de.baw.de/icheArchive

Impact of metabolic syndrome on postoperative outcomes of transsphenoidal pituitary surgery: analysis of U.S. nationwide inpatient sample data 2005–2018

IntroductionTranssphenoidal surgery (TSS) is the preferred surgical method for most pituitary adenomas owing to high efficacy and low mortality. This study aimed to evaluate the influence of metabolic syndrome (MetS) on postoperative outcomes of TSS for pituitary adenoma.MethodsThis population-based, retrospective observational study extracted data of adults 20-79 y receiving TSS for pituitary adenoma from the US Nationwide Inpatient Sample (NIS) between 2005-2018. Primary outcomes were pituitary-related complications, poor outcomes (i.e., in-hospital mortality or unfavorable discharge), prolonged length of stay (LOS), and patient safety indicators (PSIs). Univariate and multivariate regressions were performed to determine the associations between study variables and outcomes.Results19,076 patients (representing a 93,185 US in-patient population) were included, among which 2,109 (11.1%) patients had MetS. After adjustment, pre-existing MetS was not significantly associated with presence of pituitary-related complications and poor outcomes. In contrast, MetS was significantly associated with an increased risk for prolonged LOS (adjusted OR (aOR) = 1.19; 95% CI: 1.05-1.34), PSIs (aOR = 1.31; 95% CI: 1.07-1.59) and greater hospital costs (adjusted β = 8.63 thousand USD; 95% CI: 4.98-12.29). Among pituitary-related complications, MetS was independently associated with increased risk of cerebrospinal fluid (CSF) rhinorrhea (aOR = 1.22, 95% CI: 1.01, 1.47) but lowered diabetes insipidus (aOR = 0.83, 95% CI: 0.71, 0.97).DiscussionMetS does not pose excessive risk of in-hospital mortality or unfavorable discharge. However, MetS independently predicted having PSIs, prolonged LOS, greater hospital costs, and CSF rhinorrhea. Study findings may help clinicians achieve better risk stratification before TSS