scholarly journals Differential Diagnosis of Pancreatic Serous Cystadenomas and Mucinous Cystadenomas: Utility of Texture Analysis in Combination with Morphological Characteristics

2019 ◽  
Author(s):  
Jing Yang ◽  
Xinli Guo ◽  
Weiwei Zhang ◽  
Jinen Song ◽  
Xuelei Ma ◽  
...  
Keyword(s):  
Differential Diagnosis ◽  
Receiver Operating Characteristic ◽  
Texture Analysis ◽  
Operating Characteristic ◽  
Morphological Characteristics ◽  
Textural Features ◽  
Reliable Technique ◽  
Serous Cystadenomas ◽  
Mucinous Cystadenomas ◽  
Receiver Operating

Abstract Background Texture analysis of medical images has been reported to be a reliable technique for differential diagnosis of neoplasms. This study was to investigate the performance of textural features and the combined performance of textural features and morphological characteristics in the differential diagnosis of pancreatic serous and mucinous cystadenomas. Methods We retrospectively reviewed 59 patients with pancreatic serous cystadenoma and 32 patients with pancreatic mucinous cystadenoma at our hospital. Textural features were extracted using the LifeX software, and the least absolute shrinkage and selection operator (LASSO) method was applied to select the textural features. The differential diagnostic abilities of morphological features, textural features, and their combination were evaluated using receiver operating characteristic (ROC) analysis, with the area under the receiver operating characteristic curve (AUC) as the main indicator. Results The combination of morphological characteristics and textural features showed a higher AUC (0.893, 95% CI 0.816-0.970) than use of morphological characteristics (0.783, 95% CI 0.665-0.900) or textural features (0.777, 95% CI 0.673-0.880) alone. Conclusions In conclusion, our preliminary results highlighted the potential of CT texture analysis to discriminate pancreatic serous cystadenomas from mucinous cystadenomas. Furthermore, the combination of morphological and textural features can significantly improve the diagnostic performance, which may provide a reliable method to select patients with indication of surgical intervention in consideration of the different treatment principles of the two diseases.

scholarly journals Differential Diagnosis of Pancreatic Serous Cystadenomas and Mucinous Cystadenomas: Utility of Textural Features in Combination with Morphological Characteristics

2019 ◽  
Author(s):  
Jing Yang ◽  
Xinli Guo ◽  
Hao Zhang ◽  
Weiwei Zhang ◽  
Jinen Song ◽  
...  
Keyword(s):  
Differential Diagnosis ◽  
Receiver Operating Characteristic ◽  
Texture Analysis ◽  
Reliable Method ◽  
Operating Characteristic ◽  
Mucinous Cystadenoma ◽  
Morphological Characteristics ◽  
Serous Cystadenoma ◽  
Textural Features ◽  
Mucinous Cystadenomas

Abstract Background Texture analysis of medical images has been reported to be a reliable method for differential diagnosis of neoplasms. This study was to investigate the performance of textural features and the combined performance of textural features and morphological characteristics in the differential diagnosis of pancreatic serous and mucinous cystadenomas. Methods. We retrospectively reviewed 59 patients with pancreatic serous cystadenoma and 32 patients with pancreatic mucinous cystadenoma at our hospital. A three-dimensional region of interest (ROI) around the margin of the lesion was drawn manually in the CT images of each patient, and textural parameters were retrieved from the ROI. Textural features were extracted using the LifeX software. The least absolute shrinkage and selection operator (LASSO) method was applied to select the textural features. The differential diagnostic capabilities of morphological features, textural features, and their combination were evaluated using receiver operating characteristic (ROC) analysis, and the area under the receiver operating characteristic curve (AUC) was used as the main indicator. Diagnostic accuracy based on the AUC values is defined as follows: 0.9–1.0, excellent; 0.8–0.9, good; 0.7–0.8, moderate; 0.6–0.7, fair; 0.5–0.6, poor. Results. In the differential diagnosis of pancreatic serous and mucinous cystadenomas, the combination of morphological characteristics and textural features (AUC 0.893, 95% CI 0.816-0.970) is better than morphological characteristics (AUC 0.783, 95% CI 0.665-0.900) or textural features (AUC 0.777, 95% CI 0.673-0.880) alone. Conclusions. In conclusion, our preliminary results highlighted the potential of CT texture analysis in discriminating pancreatic serous cystadenoma from mucinous cystadenoma. Furthermore, the combination of morphological characteristics and textural features can significantly improve the diagnostic performance, which may provide a reliable method to select patients with indication for surgical intervention in consideration of the different treatment principles of the two diseases.

scholarly journals Differential diagnosis of pancreatic serous cystadenoma and mucinous cystadenoma: utility of textural features in combination with morphological characteristics

BMC Cancer ◽  
2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Jing Yang ◽  
Xinli Guo ◽  
Hao Zhang ◽  
Weiwei Zhang ◽  
Jinen Song ◽  
...  
Keyword(s):  
Differential Diagnosis ◽  
Receiver Operating Characteristic ◽  
Texture Analysis ◽  
Reliable Method ◽  
Operating Characteristic ◽  
Mucinous Cystadenoma ◽  
Morphological Characteristics ◽  
Serous Cystadenoma ◽  
Textural Features ◽  
Mucinous Cystadenomas

Abstract Background Texture analysis of medical images has been reported to be a reliable method for differential diagnosis of neoplasms. This study was to investigate the performance of textural features and the combined performance of textural features and morphological characteristics in the differential diagnosis of pancreatic serous and mucinous cystadenomas. Methods We retrospectively reviewed 59 patients with pancreatic serous cystadenoma and 32 patients with pancreatic mucinous cystadenoma at our hospital. A three-dimensional region of interest (ROI) around the margin of the lesion was drawn manually in the CT images of each patient, and textural parameters were retrieved from the ROI. Textural features were extracted using the LifeX software. The least absolute shrinkage and selection operator (LASSO) method was applied to select the textural features. The differential diagnostic capabilities of morphological features, textural features, and their combination were evaluated using receiver operating characteristic (ROC) analysis, and the area under the receiver operating characteristic curve (AUC) was used as the main indicator. The diagnostic accuracy based on the AUC value is defined as follows: 0.9–1.0, excellent; 0.8–0.9, good; 0.7–0.8, moderate; 0.6–0.7, fair; 0.5–0.6, poor. Results In the differential diagnosis of pancreatic serous and mucinous cystadenomas, the combination of morphological characteristics and textural features (AUC 0.893, 95% CI 0.816–0.970) is better than morphological characteristics (AUC 0.783, 95% CI 0.665–0.900) or textural features (AUC 0.777, 95% CI 0.673–0.880) alone. Conclusions In conclusion, our preliminary results highlighted the potential of CT texture analysis in discriminating pancreatic serous cystadenoma from mucinous cystadenoma. Furthermore, the combination of morphological characteristics and textural features can significantly improve the diagnostic performance, which may provide a reliable method for selecting patients with surgical intervention indications in consideration of the different treatment principles of the two diseases.

scholarly journals Differential Diagnosis of Osteoarthritis and Rheumatoid Arthritis by Bioinformatics Analysis

2020 ◽  
Author(s):  
Qing Lin ◽  
Danhong Pan ◽  
Yanfeng Huang ◽  
Wenyi Wang ◽  
Changlong Fu ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Gene Expression ◽  
Differential Diagnosis ◽  
Receiver Operating Characteristic ◽  
Signaling Pathway ◽  
Operating Characteristic ◽  
Expression Profiles ◽  
Venn Diagram ◽  
Normal Tissues ◽  
Receiver Operating

Abstract Background: Osteoarthritis (OA) and rheumatoid arthritis (RA) is the most common joint disease. The aim of my current academic work is to identify important genes associated with OA and RA, clarify their underlying mechanisms, and define differences between OA and RA.Methods: Gene expression profiles of GSE55235 were available from Gene Expression Omnibus database. Differentially expressed genes between 1) OA tissues and normal tissues, 2) RA tissues and normal tissues, were picked out by GEO2R tool, Venn diagram software, and Volcanic map. Next, we made use of the Database for Annotation, Visualization and Integrated Discovery to analyze Kyoto Encyclopedia of Gene and Genome pathway and gene ontology. The protein-protein interaction of these DEGs was visualized by Cytoscape with Search Tool for the Retrieval of Interacting Genes. Of entire PPI network analyzed by Molecular Complex Detection plug-in and obtain central nodes. Then the central nodes were re-analysis via DAVID. We next obtained the intersection of the analysis results of GSE55457 and GSE55235 to verify the results. Finally, potential biomarkers were evaluated by receiver operating characteristic.Results: Twelve genes were found to be significantly enriched in the TNF signaling pathway in OA, and eleven genes were found to be significantly enriched in the Chemokine signaling pathway in RA. Receiver operating characteristic curve suggested that the detection of JUN in OA and CCL5, CXCL9, CXCL10, CXCL11, CXCL13 in RA exhibited a high diagnostic performance.Conclusions: We have identified six significantly DEGs on the basis of integrated bioinformatical methods, which could be potential targets for differential diagnosis for OA and RA.

scholarly journals A multicenter comparison of [18F]flortaucipir, [18F]RO948, and [18F]MK6240 tau PET tracers to detect a common target ROI for differential diagnosis

2021 ◽  
Author(s):  
Antoine Leuzy ◽  
Tharick A. Pascoal ◽  
Olof Strandberg ◽  
Philip Insel ◽  
Ruben Smith ◽  
...  
Keyword(s):  
Differential Diagnosis ◽  
Receiver Operating Characteristic ◽  
Diagnostic Performance ◽  
Operating Characteristic ◽  
Regions Of Interest ◽  
Data Driven ◽  
Youden Index ◽  
Pet Tracers ◽  
Tau Pet ◽  
Receiver Operating

Abstract Purpose This study aims to determine whether comparable target regions of interest (ROIs) and cut-offs can be used across [18F]flortaucipir, [18F]RO948, and [18F]MK6240 tau positron emission tomography (PET) tracers for differential diagnosis of Alzheimer’s disease (AD) dementia vs either cognitively unimpaired (CU) individuals or non-AD neurodegenerative diseases. Methods A total of 1755 participants underwent tau PET using either [18F]flortaucipir (n = 975), [18F]RO948 (n = 493), or [18F]MK6240 (n = 287). SUVR values were calculated across four theory-driven ROIs and several tracer-specific data-driven (hierarchical clustering) regions of interest (ROIs). Diagnostic performance and cut-offs for ROIs were determined using receiver operating characteristic analyses and the Youden index, respectively. Results Comparable diagnostic performance (area under the receiver operating characteristic curve [AUC]) was observed between theory- and data-driven ROIs. The theory-defined temporal meta-ROI generally performed very well for all three tracers (AUCs: 0.926–0.996). An SUVR value of approximately 1.35 was a common threshold when using this ROI. Conclusion The temporal meta-ROI can be used for differential diagnosis of dementia patients with [18F]flortaucipir, [18F]RO948, and [18F]MK6240 tau PET with high accuracy, and that using very similar cut-offs of around 1.35 SUVR. This ROI/SUVR cut-off can also be applied across tracers to define tau positivity.

scholarly journals Combined Analysis of C-reactive Protein in Pleural Fluid and Serum is Effective in the Differential Diagnosis of Exudative Pleural Effusions

2021 ◽  
Author(s):  
Shuo-yao Qu ◽  
Yong Zhang ◽  
Shuo Wu ◽  
Ming-ming Wang ◽  
Ling-li Liu ◽  
...  
Keyword(s):  
Differential Diagnosis ◽  
Receiver Operating Characteristic ◽  
Pleural Fluid ◽  
Sensitivity And Specificity ◽  
Operating Characteristic ◽  
C Reactive Protein ◽  
Characteristic Analysis ◽  
Combined Analysis ◽  
Reactive Protein ◽  
Receiver Operating

Abstract Background: Exudative pleural effusion (EPE) is one of the common pleural manifestations of various diseases. Differential diagnosis of EPE is imperative clinically as it identifies different causes of EPE, thereby, providing effective treatments. Thoracoscopy is a useful tool for differential diagnosis of EPE. However, some patients would refuse thoracoscopic examination due to its invasive nature. In addition, the specificity and sensitivity of existing routine tests of EPE are less satisfying. Therefore, there is a great need to establish an effective method for differential diagnosis of EPE.Methods: This study was a single-institution retrospective analysis of diagnostic efficiency of C-reactive protein (CRP) and procalcitonin (PCT) between March 2018 and September 2018. Eighty-seven patients diagnosed with EPE were enrolled. All patients underwent diagnostic thoracentesis. And the EPE was examined using biochemical, routine, microbiological, and cytological methods. Pathological cytology detection was of necessity for those with the suspicion of malignant PE. Benign PE comes from patients with pneumonia, empyema and tuberculosis. The levels of CRP and PCT of EPE and serum were measured before the treatment. Correlation analysis and receiver-operating characteristic (ROC) curve analysis were conducted to determine the underlying relationship between levels of CRP and PCT, and differential diagnosis.Results: Receiver operating characteristic analysis showed that the sensitivity and specificity for the analysis of pleural fluid CRP (p-CRP) are higher (cut-off: 17.55 pg/mL; sensitivity: 75.00 %, specificity: 83.90%) than that of serum CRP (s-CRP, cut-off: 23.90 pg/mL; sensitivity: 71.00 %, specificity: 80.4%) in the differential diagnosis for EPE. However, the analysis of pleural fluid PCT (p-PCT) and serum PCT (s-PCT) didn’t demonstrate correlations with EPE. Combined analysis of p-CRP (cut-off: 17.55 mg/dL) with s-CRP (cut-off: 23.9 pg/mL) showed the highest diagnostic accuracy (88.4%) in diagnosing infectious EPE.Conclusions: The data support the close relationship between combined analysis of p-CRP with s-CRP and effective and accurate differential diagnosis of EPE, due to its higher sensitivity and specificity. However, as a highly sensitive marker to diagnose bacterial infections, neither s-PCT nor p-PCT, showed correlations with the differential diagnosis of EPE.

Übereinstimmung von klinischer Diagnose, strukturierten Interviews und Selbstbeurteilungsfragebögen bei Depression im Kindes- und Jugendalter

2012 ◽  
Vol 40 (6) ◽  
pp. 405-414 ◽  
Author(s):  
Kathrin Dolle ◽  
Gerd Schulte-Körne ◽  
Nikolaus von Hofacker ◽  
Yonca Izat ◽  
Antje-Kathrin Allgaier
Keyword(s):  
Receiver Operating Characteristic ◽  
Operating Characteristic ◽  
Kinder Und Jugendliche ◽  
Prädiktive Werte ◽  
Receiver Operating

Fragestellung: Die vorliegende Studie untersucht die Übereinstimmung von strukturierten Kind- und Elterninterviews sowie dem klinischen Urteil bei der Diagnostik depressiver Episoden im Kindes- und Jugendalter. Zudem prüft sie, ob sich die Treffsicherheit und die optimalen Cut-off-Werte von Selbstbeurteilungsfragebögen in Referenz zu diesen verschiedenen Beurteilerperspektiven unterscheiden. Methodik: Mit 81 Kindern (9–12 Jahre) und 88 Jugendlichen (13–16 Jahre), die sich in kinder- und jugendpsychiatrischen Kliniken oder Praxen vorstellten, und ihren Eltern wurden strukturierte Kinder-DIPS-Interviews durchgeführt. Die Kinder füllten das Depressions-Inventar für Kinder und Jugendliche (DIKJ) aus, die Jugendlichen die Allgemeine Depressions-Skala in der Kurzform (ADS-K). Übereinstimmungen wurden mittels Kappa-Koeffizienten ermittelt. Optimale Cut-off-Werte, Sensitivität, Spezifität sowie positive und negative prädiktive Werte wurden anhand von Receiver operating characteristic (ROC) Kurven bestimmt. Ergebnisse: Die Interviews stimmten untereinander sowie mit dem klinischen Urteil niedrig bis mäßig überein. Depressive Episoden wurden häufiger nach klinischem Urteil als in den Interviews festgestellt. Cut-off-Werte und Validitätsmaße der Selbstbeurteilungsfragebögen variierten je nach Referenzstandard mit den schlechtesten Ergebnissen für das klinische Urteil. Schlussfolgerungen: Klinische Beurteiler könnten durch den Einsatz von strukturierten Interviews profitieren. Strategien für den Umgang mit diskrepanten Kind- und Elternangaben sollten empirisch geprüft und detailliert beschrieben werden.

Use of Receiver Operating Characteristic (ROC) Curves to Evaluate Computer Confidence Threshold and Clinical Performance in the Diagnosis of Appendicitis

1978 ◽  
Vol 17 (03) ◽  
pp. 157-161 ◽  
Author(s):  
F. T. De Dombal ◽  
Jane C. Horrocks
Keyword(s):  
Receiver Operating Characteristic ◽  
Operating Characteristic ◽  
Clinical Performance ◽  
Roc Curves ◽  
Final Diagnosis ◽  
Confidence Threshold ◽  
Computer Aided ◽  
Computer Confidence ◽  
Overall Performance ◽  
Receiver Operating

This paper uses simple receiver operating characteristic (ROC) curves (i) to study the effect of varying computer confidence of threshold levels and (ii) to evaluate clinical performance in the diagnosis of acute appendicitis. Over 1300 patients presenting to five centres with abdominal pain of short duration were studied in varying detail. Clinical and computer-aided diagnostic predictions were compared with the »final« diagnosis. From these studies it is concluded the simplistic setting of a 50/50 confidence threshold for the computer program is as »good« as any other. The proximity of a computer-aided system changed clinical behaviour patterns; a higher overall performance level was achieved and clinicians performance levels became associated with the »mildly conservative« end of the computers ROC curve. Prior forecasts of over-confidence or ultra-caution amongst clinicians using the computer-aided system have not been fulfilled.

Sign in / Sign up

Export Citation Format

Share Document