A Practical Approach to Assess the Wildfire Ignition and Spreading Capacities of Vegetated Areas at Landscape-scale

2021 ◽  
Author(s):  
Artan Hysa ◽  
Velibor Spalevic ◽  
Branislav Dudic ◽  
Sanda Roșca ◽  
Alban Kuriqi ◽  
...  
Keyword(s):  
Roc Analysis ◽  
Operating Characteristic ◽  
Area Under The Curve ◽  
Building Stock ◽  
Ignition Probability ◽  
Country Level ◽  
The Social ◽  
Mining Procedure ◽  
Level Scale ◽  
Social Environmental

Abstract We bring a practical and comprehensive GIS-based framework to utilize freely available remote sensed datasets to assess wildfire ignition probability and spreading capacities of vegetated landscapes. The study area consists of the country-level scale of the Romanian territory, characterized by a diversity of vegetated landscapes threatened by the consequences of climate change. We utilize the Wildfire Ignition Probability/ Wildfire Spreading Capacity Index (WIPI/ WSCI). WIPI/ WSCI models rely on a multi-criteria data mining procedure assessing the social, environmental, geophysical, and fuel properties of the study area based on open access remote sensed data. We utilized the Receiver Operating Characteristic (ROC) analysis to weigh each indexing criterion's impact factor and assess the model's overall sensitivity. Introducing ROC analysis at an earlier stage of the workflow elevated the final Area Under the Curve (AUC) of WIPI from 0.705 to 0.778 and WSCI from 0.586 to 0.802. The modeling results enable discussion on the vulnerability of protected areas and the exposure of man-made structures to wildfire risk. Our study shows that within the wildland-urban interface of Bucharest's metropolitan area, there is a remarkable building stock like healthcare, residential and educational that are significantly exposed to wildfire spreading the risk.

scholarly journals Utilizing the Available Open-Source Remotely Sensed Data in Assessing the Wildfire Ignition and Spread Capacities of Vegetated Surfaces in Romania

2021 ◽  
Vol 13 (14) ◽  
pp. 2737
Author(s):  
Artan Hysa ◽  
Velibor Spalevic ◽  
Branislav Dudic ◽  
Sanda Roșca ◽  
Alban Kuriqi ◽  
...  
Keyword(s):  
Roc Analysis ◽  
Area Under The Curve ◽  
Remotely Sensed ◽  
Remotely Sensed Data ◽  
Building Stock ◽  
Ignition Probability ◽  
Country Level ◽  
Mining Procedure ◽  
Level Scale ◽  
Social Environmental

We bring a practical and comprehensive GIS-based framework to utilize freely available remotely sensed datasets to assess wildfire ignition probability and spreading capacities of vegetated landscapes. The study area consists of the country-level scale of the Romanian territory, characterized by a diversity of vegetated landscapes threatened by climate change. We utilize the Wildfire Ignition Probability/Wildfire Spreading Capacity Index (WIPI/WSCI). WIPI/WSCI models rely on a multi-criteria data mining procedure assessing the study area’s social, environmental, geophysical, and fuel properties based on open access remotely sensed data. We utilized the Receiver Operating Characteristic (ROC) analysis to weigh each indexing criterion’s impact factor and assess the model’s overall sensitivity. Introducing ROC analysis at an earlier stage of the workflow elevated the final Area Under the Curve (AUC) of WIPI from 0.705 to 0.778 and WSCI from 0.586 to 0.802. The modeling results enable discussion on the vulnerability of protected areas and the exposure of man-made structures to wildfire risk. Our study shows that within the wildland–urban interface of Bucharest’s metropolitan area, there is a remarkable building stock of healthcare, residential and educational functions, which are significantly exposed and vulnerable to wildfire spreading risk.

The potential value of a pictorial atlas for aid in the visual diagnosis of 123I FP-CIT SPECT scans

2009 ◽  
Vol 48 (04) ◽  
pp. 173-178 ◽  
Author(s):  
H. Ham ◽  
A. Dobbeleir ◽  
P. Santens ◽  
Y. D'Asseler ◽  
I. Goethals
Keyword(s):  
Diagnostic Accuracy ◽  
Roc Analysis ◽  
Operating Characteristic ◽  
Interobserver Variability ◽  
Area Under The Curve ◽  
Visual Assessment ◽  
Added Value ◽  
Related Disorder ◽  
Visual Diagnosis ◽  
Spect Images

SummaryThe aim of our study was to evaluate the value of a pictorial atlas of 123I FP-CIT SPECT images for aid in the visual diagnosis. Patients, materials, methods: Sixty patients, of whom 20 were clinically diagnosed as ‘non-parkinsonian’ and 40 as having Parkinson's disease or any related disorder, were included in the study. An atlas consisting of 12 123I FP-CIT SPECT images was constructed first. Validity of the atlas was investigated by performing a receiver operating characteristic (ROC) analysis with the clinical diagnosis as the gold standard. The remaining 48 SPECT images were visually assessed twice by 5 observers, first with and secondly without consulting the atlas, or vice versa. The added value of the atlas was investigated by comparing the diagnostic accuracy and the interobserver variability for both methods. Results: ROC analysis performed on the atlas yielded an area under the curve of 1 for a threshold discriminating between clinically non-parkinsonian and parkinsonian patients that was situated between image 4 and 5 of the atlas. For the diagnostic accuracy, we found that the area under the ROC curve was systematically higher if observers had access to the atlas compared to when they had not (Wilcoxon's test, p<0.05). Also, the interobserver variability was significantly lower when observers used the atlas when compared to when they did not (p = 0.05). Conclusion: Diagnostic accuracy was significantly higher and interobserver variability significantly lower if observers had access to the atlas compared to when they had not. Hence, having a pictorial atlas available may facilitate the visual assessment of 123I FP-CIT SPECT scans.

scholarly journals Expression Analysis of Circulating miR-22, miR-122, miR-217 and miR-367 as Promising Biomarkers of Acute Lymphoblastic Leukemia

2021 ◽  
Author(s):  
Fatemeh hosseinpour-soleimani ◽  
Gholamreza Khamisipour ◽  
Zahra Derakhshan ◽  
Bahram Ahmadi
Keyword(s):  
Acute Lymphoblastic Leukemia ◽  
Roc Analysis ◽  
Operating Characteristic ◽  
Lymphoblastic Leukemia ◽  
Area Under The Curve ◽  
Diagnostic Value ◽  
Healthy Individuals ◽  
Quantitative Real Time Pcr ◽  
Expression Levels

Abstract Background Currently, the role of serum-based biomarkers such as microRNAs in cancer diagnosis has been extensively established. This study aimed to determine expression levels of bioinformatically selected miRNAs and whether they can be used as biomarkers or a new therapeutic target in patients with Acute Lymphoblastic Leukemia (ALL). Materials and Methods The expression levels of serum miR-22, miR-122, miR-217, and miR-367 in 21 ALL patients and 21 healthy controls were measured using quantitative real-time PCR. The receiver operating characteristic (ROC) curve and the associated area under the curve (AUC) was used to assess candidate miRNAs' diagnostic value as a biomarker. Results The results showed that miR-217 was markedly decreased in patients with ALL compared to controls. Moreover, miR-22, miR-122, and miR-367 were found to be upregulated. Furthermore, ROC analysis showed that serum miR-217 and miR-367 could differentiate ALL patients from the healthy individuals, while miR-22 has approximate discriminatory power that requires further investigation. Conclusion Collectively, the results suggested that miR-217 may play a tumor suppressor role in ALL, whereas miR-22, miR-122, and miR-367 could function as an oncogene. Overall, miR-22, miR-217, and miR-367 could be considered possible biomarkers for the early diagnosis of ALL.

CA549 and TPS Patterns in the Diagnosis and Staging of Patients with Breast Carcinoma

1996 ◽  
Vol 11 (4) ◽  
pp. 198-202 ◽  
Author(s):  
H.G. Vibert ◽  
A.S. Houston ◽  
G.P. Wilkins ◽  
P.M. Kemp ◽  
M.A. Macleod
Keyword(s):  
Roc Analysis ◽  
Operating Characteristic ◽  
Benign Breast Disease ◽  
Area Under The Curve ◽  
Breast Disease ◽  
Clinical Value ◽  
Variable Threshold ◽  
Individual Marker ◽  
The Difference ◽  
Active Disease

This study compares the clinical value of the breast cancer tumour markers CA549 and TPS, and their tandem use when one or both markers indicate abnormality. For 144 patients presenting with active disease, 33 were classified as Stage I, 37 as Stage II, 40 as Stage III and 34 as Stage TV. For these patients the sensitivity of CA549 using a cut-off of 10 U/ml was 27%, 32%, 42% and 79%, respectively. The sensitivity of TPS for each stage using a cut-off of 100 U/l was 12%, 22%, 28% and 73%, respectively. At these cut-off levels, 36%, 46%, 63% and 91% of patients, respectively, have either CA549 or TPS or both markers raised. For 161 patients with diagnosed benign breast disease, the specificity of marker levels was 96% for CA549, 88% for TPS and 84% for tandem use. CA549 is shown to be superior to TPS and this was confirmed by Receiver Operating Characteristic (ROC) analysis using variable threshold levels, with the areas under the curves for all stages combined being 0.74 ± 0.03 (1SD) and 0.66 ± 0.03, respectively. The corresponding area under the curve for tandem use (0.75 ± 0.03) is marginally greater than for either individual marker, although the difference with respect to CA549 is statistically insignificant.

scholarly journals Serum Epiplakin Might Be a Potential Serodiagnostic Biomarker for Bladder Cancer

Cancers ◽  
2021 ◽  
Vol 13 (20) ◽  
pp. 5150
Author(s):  
Soichiro Shimura ◽  
Kazumasa Matsumoto ◽  
Yuriko Shimizu ◽  
Kohei Mochizuki ◽  
Yutaka Shiono ◽  
...  
Keyword(s):  
Bladder Cancer ◽  
Healthy Volunteers ◽  
Roc Analysis ◽  
Operating Characteristic ◽  
Early Stage ◽  
Area Under The Curve ◽  
Stone Disease ◽  
Dot Blot ◽  
Expression Levels ◽  
Clinicopathological Findings

Tumor markers that can be detected at an early stage are needed. Here, we evaluated the epiplakin expression levels in sera from patients with bladder cancer (BC). Using a micro-dot blot array, we evaluated epiplakin expression levels in 60 patients with BC, 20 patients with stone disease, and 28 healthy volunteers. The area under the curve (AUC) and best cut-off point were calculated using receiver-operating characteristic (ROC) analysis. Serum epiplakin levels were significantly higher in patients with BC than in those with stone disease (p = 0.0013) and in healthy volunteers (p < 0.0001). The AUC-ROC level for BC was 0.78 (95% confidence interval (CI) = 0.69–0.87). Using a cut-off point of 873, epiplakin expression levels exhibited 68.3% sensitivity and 79.2% specificity for BC. However, the serum epiplakin levels did not significantly differ by sex, age, pathological stage and grade, or urine cytology. We performed immunohistochemical staining using the same antibody on another cohort of 127 patients who underwent radical cystectomy. Univariate and multivariate analysis results showed no significant differences between epiplakin expression, clinicopathological findings, and patient prognoses. Our results showed that serum epiplakin might be a potential serodiagnostic biomarker in patients with BC.

scholarly journals Study On Coronary Dissection Complication Caused by Uneven Rotational Atherectomy Due To Guidewire Bias for Severe Calcified Lesions

2021 ◽  
Author(s):  
Fei Ye ◽  
Wei You ◽  
Hong-li Zhang ◽  
Tian Xu ◽  
Pei-na Meng ◽  
...  
Keyword(s):  
Roc Analysis ◽  
Operating Characteristic ◽  
Area Under The Curve ◽  
Coronary Calcification ◽  
Rotational Atherectomy ◽  
Cross Sectional ◽  
Actual Meaning ◽  
Oct Imaging ◽  
Calcified Coronary Lesions ◽  
Catheter Location

Abstract BACKGROUND In the treatment of coronary calcification by rotational atherectomy (ROTA), guidewire bias is often considered to lead to procedure associated coronary dissections or perforations. However, the actual meaning of guidewire bias is unclear, though it usually refers to the cross-section location of the intravascular imaging (IVI) catheter in the coronary artery. OBJECTIVES This study tentatively explores the quantitative criteria in optical coherence tomography (OCT) imaging of guidewire bias which may cause ROTA induced coronary dissection. METHODS A total of twenty-one patients with severe calcified coronary lesions who has undergone ROTA treatment were enrolled in our study. These patients were detected by OCT successfully pre- and post-ROTA. All the observational coronary segments were analyzed cross-sectionally at every mm interval after manual coregistration of OCT imaging pre- and post-ROTA. ROTA related coronary dissection was the primary endpoint. RESULTS A total of 388 OCT cross-sectional images were effectively measured and analyzed for distribution and characteristics of plaque and OCT catheter location pre-ROTA, and the presence or absence of coronary dissections post-ROTA after manual coregistration. According to the receiver operating characteristic (ROC) analysis, distance from the center of OCT catheter to media at the bias direction (Dcmb) (area under the curve (AUC): 1.000, p<0.001, 95% confidence intervals (CI): 0.999 to 1.000) and touch angle (AUC: 0.988, p<0.001, 95%CI: 0.968 to 1.000) had a higher correlation with ROTA-related coronary dissection with the corresponding cutoff value of 0.720mm and 98.2º significantly. CONCLUSIONS Dcmb and touch angle detected by OCT are two very valuable and convenient independent predictors of ROTA-related coronary intimal dissections caused by guidewire bias.

scholarly journals Serum Indoleamine 2,3-Dioxygenase Activity Predicts Prognosis of Pulmonary Tuberculosis

2012 ◽  
Vol 19 (3) ◽  
pp. 436-442 ◽  
Author(s):  
Yuzo Suzuki ◽  
Takafumi Suda ◽  
Kazuhiro Asada ◽  
Seiichi Miwa ◽  
Masako Suzuki ◽  
...  
Keyword(s):  
Poor Prognosis ◽  
Roc Analysis ◽  
Operating Characteristic ◽  
Area Under The Curve ◽  
Major Health Problem ◽  
Major Health ◽  
Indoleamine 2,3 Dioxygenase ◽  
Rate Limiting Step ◽  
Limiting Step ◽  
Rate Limiting

ABSTRACTTuberculosis (TB) continues to be a major health problem, and there are few biomarkers for predicting prognosis. Indoleamine 2,3-dioxygenase (IDO), a potent immunoregulatory molecule, catalyzes the rate-limiting step of tryptophan (Trp) degradation in the kynurenine (Kyn) pathway. An increase in IDO activity determined by the serum Trp/Kyn ratio has been shown to be associated with poor prognosis in cancers and bacteremia. In TB, however, there are no studies measuring serum IDO activity to determine its clinical significance. We evaluated serum IDO activity with 174 pulmonary TB (PTB) patients and 85 controls, using liquid chromatography/electrospray ionization tandem mass spectrometry. IDO activity was estimated by calculating the serum Kyn-to-Trp ratio. PTB patients had significantly higher Kyn concentrations and IDO activity and significantly lower Trp concentrations (P< 0.0001,P< 0.0001, andP< 0.0001, respectively) than the controls. Of 174 PTB patients, 39 (22.4%) died. The patients who died had significantly higher concentrations of Kyn and significantly lower Trp concentrations, resulting in significantly higher IDO activity (P< 0.0001,P< 0.0001, andP< 0.0001, respectively). In a receiver operating characteristic (ROC) analysis, serum IDO activity had the highest area under the curve (0.850), and this activity was an independent prognostic factor in multivariate analysis. These results suggest that serum IDO activity can be used as a novel prognostic marker in PTB.

scholarly journals Early Cutoff Criteria for Strong Performance on the Test of Memory Malingering

2019 ◽  
Vol 35 (4) ◽  
pp. 429-433
Author(s):  
Angelina J Polsinelli ◽  
Jane H Cerhan
Keyword(s):  
Clinical Setting ◽  
Roc Analysis ◽  
Operating Characteristic ◽  
Area Under The Curve ◽  
Cognitive Status ◽  
Neuropsychological Evaluation ◽  
Performance Validity ◽  
Test Of Memory Malingering ◽  
Perfect Score ◽  
Strong Performance

Abstract Objective The Test of Memory Malingering (TOMM) is widely used to assess performance validity. To improve efficiency, we investigated whether abbreviated administration (i.e., only the first 25 items of Trial 1 [T1]) is possible when effort is very strong (≥49/50 on T1 or T2). Method We collected TOMM scores of 501 consecutive adult patients ranging in cognitive status who underwent standard neuropsychological evaluation at Mayo Clinic, Rochester, MN. Results Receiver Operating Characteristic (ROC) analysis showed excellent area under the curve (AUC) (0.94; CI95% [0.92, 0.97]) and a cutoff of 25/25 had 100% specificity for identifying strong performance. Of the 224 patients who obtained a perfect score on the first 25 items, 197 (88%) obtained ≥49 on T1 and the remaining patients (n = 27) obtained ≥49 on T2. Conclusion A perfect score on the first 25 items of the TOMM predicted overall strong performance 100% of the time, supporting abbreviated administration in select cases in a general outpatient clinical setting.

scholarly journals Predictors of CT Morphologic Features to Identify Spread Through Air Spaces Preoperatively in Small-Sized Lung Adenocarcinoma

2021 ◽  
Vol 10 ◽  
Author(s):  
Lin Qi ◽  
Ke Xue ◽  
Yongjun Cai ◽  
Jinjuan Lu ◽  
Xiaohu Li ◽  
...  
Keyword(s):  
Lung Adenocarcinoma ◽  
Roc Analysis ◽  
Operating Characteristic ◽  
Characteristic Curve ◽  
Area Under The Curve ◽  
Logistic Models ◽  
Glass Ribbon ◽  
Ground Glass ◽  
Ct Features ◽  
Spread Through Air Spaces

ObjectivesThis study aimed to explore the predictive CT features of spread through air spaces (STAS) in patients with small-sized lung adenocarcinoma.MethodsFrom January 2017 to May 2019, patients with confirmed pathology of small-sized lung adenocarcinoma (less than or equal to 2 cm) and who underwent surgery were retrospectively analyzed. The clinical, pathological, and surgical information and CT features were analyzed.ResultsA total of 47 patients with STAS (males, 61.7%; mean age, 56 ± 8years) and 143 patients without STAS (males, 58%; mean age, 53 ± 11 years) were included. Pathologically, papillary, micropapillary, solid predominant subtypes, and vascular and pleural invasion were most commonly observed features in the STAS group. Radiologically, higher consolidation tumor ratio (CTR), presence of spiculation, satellites, ground glass ribbon sign, pleural attachment, and unclear tumor–lung interface were more commonly observed features in the STAS group. CTR, presence of ground glass ribbons and pleural connection, and absence of cystic airspaces were considered as stable predictors of STAS in multivariate logistic models. The receiver operating characteristic curve (ROC) analysis for predicting STAS demonstrated higher area under the curve (AUC) in the model that used CTR (0.760, 95% confidence interval, 0.69–0.83) for predicting STAS than in the model that used long diameter of entire lesion (0.640).ConclusionsCTR is the best CT sign for predicting STAS in small-sized lung adenocarcinoma. The ground glass ribbon is a newly found indicator and has the potential for predicting STAS.

scholarly journals Receiver operating characteristic (ROC) movies, universal ROC (UROC) curves, and coefficient of predictive ability (CPA)

2021 ◽  
Author(s):  
Tilmann Gneiting ◽  
Eva-Maria Walz
Keyword(s):  
Receiver Operating Characteristic ◽  
Roc Analysis ◽  
Operating Characteristic ◽  
Numerical Models ◽  
Binary Classification ◽  
Weather Prediction ◽  
Area Under The Curve ◽  
Predictive Ability ◽  
Classification Problems ◽  
Receiver Operating

AbstractThroughout science and technology, receiver operating characteristic (ROC) curves and associated area under the curve ($$\mathrm{AUC}$$ AUC ) measures constitute powerful tools for assessing the predictive abilities of features, markers and tests in binary classification problems. Despite its immense popularity, ROC analysis has been subject to a fundamental restriction, in that it applies to dichotomous (yes or no) outcomes only. Here we introduce ROC movies and universal ROC (UROC) curves that apply to just any linearly ordered outcome, along with an associated coefficient of predictive ability ($${\mathrm{CPA}}$$ CPA ) measure. $${\mathrm{CPA}}$$ CPA equals the area under the UROC curve, and admits appealing interpretations in terms of probabilities and rank based covariances. For binary outcomes $${\mathrm{CPA}}$$ CPA equals $$\mathrm{AUC}$$ AUC , and for pairwise distinct outcomes $${\mathrm{CPA}}$$ CPA relates linearly to Spearman’s coefficient, in the same way that the C index relates linearly to Kendall’s coefficient. ROC movies, UROC curves, and $${\mathrm{CPA}}$$ CPA nest and generalize the tools of classical ROC analysis, and are bound to supersede them in a wealth of applications. Their usage is illustrated in data examples from biomedicine and meteorology, where rank based measures yield new insights in the WeatherBench comparison of the predictive performance of convolutional neural networks and physical-numerical models for weather prediction.

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