scholarly journals Rationale of Using Dynamic Imaging for Characterization of Suspicious Lung Masses into Benign or Malignant on Contrast Enhanced Multi Detector Computed Tomography

2017 ◽  
Vol 7 ◽  
pp. 24 ◽  
Author(s):  
Sachin Khanduri ◽  
Saurav Bhagat ◽  
Parul Shokeen ◽  
Girjesh Kumar ◽  
Shobha Khanduri ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Diagnostic Accuracy ◽  
Diagnostic Yield ◽  
Dynamic Imaging ◽  
Receiver Operating Curve ◽  
Relative Percentage ◽  
Contrast Enhanced ◽  
Computed Tomography Scanning ◽  
Histopathological Evaluation ◽  
Sensitivity Specificity

Objectives: To assess the utility of dynamic imaging namely, wash-in and wash-out characteristics through multidetector contrast-enhanced computed tomography in differentiating benign and malignant pulmonary masses. Materials and Methods: Seventy-three patients who were suspected to have malignant pulmonary mass on the basis of clinical symptoms and chest radiograph were included in the study. All the patients underwent multidetector computed tomography scanning, and three series of images were obtained for each patient-noncontrast, early enhanced, and 15 min delayed enhanced scans. Computed tomography (CT) findings were assessed in terms of washin, absolute, and relative percentage washout of contrast. Biopsy of the mass was done and sent for histopathological evaluation. Sensitivity, specificity, and area under curve for diagnosing malignancy in the lung masses were calculated by considering both the wash-in and wash-out characteristics at dynamic CT and plotting the receiver operating curve after the final diagnosis which was obtained by histopathological evaluation. Results: Threshold net enhancement (washin) value of >22.5 HU had sensitivity, specificity, and diagnostic accuracy of 88.5%, 57.1%, and 82%, respectively, in predicting malignancy. Threshold relative percentage washout of <16.235% had 98.1%, 85.7%, and 94% sensitivity, specificity, and diagnostic accuracy, respectively, and threshold absolute percentage washout of <42.72% had 98.1%, 95.2%, and 95% sensitivity, specificity, and diagnostic accuracy, respectively, in predicting malignancy. Conclusion: Threshold net enhancement (washin), absolute and relative washout percentages can be used to predict malignancy with very high diagnostic yield, and possibly obviate the need of invasive procedures for diagnosis of bronchogenic carcinoma.

Noninvasive Evaluation of Coronary Artery Bypass Grafts with 16-Slice Multidetector Computed Tomography

2012 ◽  
Vol 15 (1) ◽  
pp. 12 ◽  
Author(s):  
Levent Sahiner ◽  
Ali Oto ◽  
Kudret Aytemir ◽  
Tuncay Hazirolan ◽  
Musturay Karcaaltincaba ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Coronary Artery ◽  
Diagnostic Accuracy ◽  
Multidetector Computed Tomography ◽  
Coronary Artery Bypass ◽  
Predictive Value ◽  
Artery Bypass ◽  
Time Interval ◽  
Mdct Angiography ◽  
Sensitivity Specificity

<p><b>Background:</b> The aim of this study was to investigate the diagnostic accuracy of 16-slice multislice, multidetector computed tomography (MDCT) angiography for the evaluation of grafts in patients with coronary artery bypass grafting (CABG).</p><p><b>Methods:</b> Fifty-eight consecutive patients with CABG who underwent both MDCT and conventional invasive coronary angiography were included. The median time interval between the 2 procedures was 10 days (range, 1-32 days). The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of MDCT for the detection of occluded grafts were calculated. The accuracy of MDCT angiography for detecting significant stenoses in patent grafts and the evaluability of proximal and distal anastomoses were also investigated.</p><p><b>Results:</b> Optimal diagnostic images could not be obtained for only 3 (2%) of 153 grafts. Evaluation of the remaining 150 grafts revealed values for sensitivity, specificity, PPV, NPV, and diagnostic accuracy of the MDCT angiography procedure for the diagnosis of occluded grafts of 87%, 97%, 94%, 93%, and 92%, respectively. All of the proximal anastomoses were optimally visualized. In 4 (8%) of 50 patent arterial grafts, however, the distal anastomotic region could not be evaluated because of motion and surgical-clip artifacts. The accuracy of MDCT angiography for the detection of significant stenotic lesions was relatively low (the sensitivity, specificity, PPV, and NPV were 67%, 98%, 50%, and 99%, respectively). The number of significant lesions was insufficient to reach a reliable conclusion, however.</p><p><b>Conclusion:</b> Our study showed that MDCT angiography with 16-slice systems has acceptable diagnostic performance for the evaluation of coronary artery bypass graft patency.</p>

scholarly journals Detectability on Plain CT is an Effective Discriminator between Carcinoma and Benign Disorder for a Polyp >10 mm in the Gallbladder

Diagnostics ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 388
Author(s):  
Tatsunori Satoh ◽  
Masataka Kikuyama ◽  
Keiko Sasaki ◽  
Hirotoshi Ishiwatari ◽  
Shinya Kawaguchi ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Multivariate Analysis ◽  
Odds Ratio ◽  
Patient Characteristics ◽  
Polyp Size ◽  
Predictive Values ◽  
Lesion Detectability ◽  
Contrast Enhanced ◽  
Cell Densities ◽  
Sensitivity Specificity

An appropriate diagnosis is required to avoid unnecessary surgery for gallbladder cholesterol polyps (GChPs) and to appropriately treat pedunculated gallbladder carcinomas (GCs). Generally, polyps >10 mm are regarded as surgical candidates. We retrospectively evaluated plain and contrast-enhanced (CE) computed tomography (CT) findings and histopathological features of 11 early GCs and 10 GChPs sized 10–30 mm to differentiate between GC and GChP >10 mm and determine their histopathological background. Patient characteristics, including polyp size, did not significantly differ between groups. All GCs and GChPs were detected on CE-CT; GCs were detected more often than GChPs on plain CT (73% vs 9%; p < 0.01). Sensitivity, specificity, positive and negative predictive values, and diagnostic accuracy for GCs were 73%, 90%, 89%, 75%, and 81%, respectively. On multivariate analysis, lesion detectability on plain CT was independently associated with GCs (odds ratio, 27.1; p = 0.044). Histopathologically, GChPs consisted of adipose tissue. Although larger vessel areas in GCs than in GChPs was not significant (52,737 μm2 vs 31,906 μm2; p = 0.51), cell densities were significantly greater in GCs (0.015/μm2 vs 0.0080/μm2; p < 0.01). Among GPs larger than 10 mm, plain CT could contribute to differentiating GCs from GChPs.

Diagnostic Accuracy of Multislice Contrast CT scan in Detection of Squamous cell Carcinoma of Oral cavity, in clinically suspected Patients

2021 ◽  
Vol 15 (8) ◽  
pp. 2500-2501
Author(s):  
Aliya Khan ◽  
Abid Ali Sahito ◽  
Mahreen Shaikh ◽  
Humera Jabeen ◽  
Humaira Ashraf ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Squamous Cell Carcinoma ◽  
Oral Cavity ◽  
Diagnostic Accuracy ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Gold Standard ◽  
Multislice Computed Tomography ◽  
Multislice Ct ◽  
Sensitivity Specificity

Objective: To evaluate the diagnostic accuracy of multislice computed tomography (CT) in detection of squamous cell carcinoma (SCC) of oral cavity in clinically suspected patients taking histopathology as gold standard. Material and Methods: This cross-sectional study has been conducted at Radiology department of Civil Hospital Karachi from 8th September 2018 to March 2019. All the cases having suspected oral squamous cell carcinoma and either of gender were included. Patients underwent computed tomography by using multislice scanner. Then patients undergone biopsy sampling and patients were labeled as positive or negative for squamous cell carcinoma of oral cavity on MDCT and histopathology. Sensitivity, specificity, and diagnostic accuracy of multislice CT for squamous cell carcinoma of oral cavity were measured taking histopathology as gold standard. Results: Total 168 cases were studied and out of them males were 76.8% and females were 23.2%. Mean gutka addiction history was 11.52±5.21 years. Mean lesion size on CT scan was 2.44±1.43 cm. In our study, 35.1% patients were diagnosed positive by multislice computed tomography and 43.5% through histopathology. Sensitivity, Specificity, PPV, NPV and accuracy were 86.4%, 79.8%, 69.9%, 91.6%, and 82.1% respectively. Conclusion: Multislice CT observed to be the effective diagnostic tool for the detection of SCC of oral cavity. Keywords: Multislice Computed Tomography, cancer, Oral Cavity

Contrast-enhanced spectral mammography in patients with MRI contraindications

2017 ◽  
Vol 59 (7) ◽  
pp. 798-805 ◽  
Author(s):  
Vivien Richter ◽  
Valerie Hatterman ◽  
Heike Preibsch ◽  
Sonja D Bahrs ◽  
Markus Hahn ◽  
...  
Keyword(s):  
Problem Solving ◽  
Diagnostic Accuracy ◽  
Breast Imaging ◽  
Diagnostic Yield ◽  
Therapy Response ◽  
Lesion Size ◽  
Size Estimation ◽  
Imaging Data ◽  
Technical Problems ◽  
Contrast Enhanced

Background Contrast-enhanced spectral mammography (CESM) is a novel breast imaging technique providing comparable diagnostic accuracy to breast magnetic resonance imaging (MRI). Purpose To show that CESM in patients with MRI contraindications is feasible, accurate, and useful as a problem-solving tool, and to highlight its limitations. Material and Methods A total of 118 patients with MRI contraindications were examined by CESM. Histology was obtained in 94 lesions and used as gold standard for diagnostic accuracy calculations. Imaging data were reviewed retrospectively for feasibility, accuracy, and technical problems. The diagnostic yield of CESM as a problem-solving tool and for therapy response evaluation was reviewed separately. Results CESM was more accurate than mammography (MG) for lesion categorization (r = 0.731, P < 0.0001 vs. r = 0.279, P = 0.006) and for lesion size estimation (r = 0.738 vs. r = 0.689, P < 0.0001). Negative predictive value of CESM was significantly higher than of MG (85.71% vs. 30.77%, P < 0.0001). When used for problem-solving, CESM changed patient management in 2/8 (25%) cases. Superposition artifacts and timing problems affected diagnostic utility in 3/118 (2.5%) patients. Conclusion CESM is a feasible and accurate alternative for patients with MRI contraindications, but it is necessary to be aware of the method’s technical limitations.

Diagnostic Accuracy of Dual-Energy CT in Detection of Acute Pulmonary Embolism: A Systematic Review and Meta-Analysis

2020 ◽  
pp. 084653712090206 ◽  
Author(s):  
Waleed Abdellatif ◽  
Mahmoud Ahmed Ebada ◽  
Souad Alkanj ◽  
Ahmed Negida ◽  
Nicolas Murray ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Systematic Review ◽  
Pulmonary Embolism ◽  
Diagnostic Accuracy ◽  
Likelihood Ratio ◽  
Acute Pulmonary Embolism ◽  
Meta Analysis ◽  
Dual Energy ◽  
Dual Energy Computed Tomography ◽  
Sensitivity Specificity

Purpose: In this systematic review and meta-analysis, we aimed to investigate the accuracy of dual-energy computed tomography (DECT) in the detection of acute pulmonary embolism (PE). Methods: We searched Medline (via PubMed), EBSCO, Web of Science, Scopus, and the Cochrane Library for relevant published studies. We selected studies assessing the accuracy of DECT in the detection of PE. Quality assessment of bias and applicability was conducted using the Quality of Diagnostic Accuracy Studies-2 tool. Meta-analysis was performed to calculate mean estimates of sensitivity, specificity, positive likelihood ratio (PLR), and negative likelihood ratio (NLR). The summary receiver operating characteristic (sROC) curve was drawn to get the Cochran Q-index and the area under the curve (AUC). Results: Seven studies were included in our systematic review. Of the 182 patients included, 108 patients had PEs. The pooled analysis showed an overall sensitivity and specificity of 88.9% (95% confidence interval [CI]: 81.4%-94.1%) and 94.6% (95% CI: 86.7%-98.5%), respectively. The pooled PLR was 8.186 (95% CI: 3.726-17.986), while the pooled NLR was 0.159 (95% CI: 0.093-0.270). Cochran-Q was 0.8712, and AUC was 0.935 in the sROC curve. Conclusion: Dual-energy computed tomography shows high sensitivity, specificity, and diagnostic accuracy in the detection of acute PE. The high PLR highlights the high clinical importance of DECT as a prevalence-independent, rule-in test. Studies with a larger sample size with standardized reference tests are still needed to increase the statistical power of the study and support these findings.

scholarly journals The diagnostic utility of the “Thwaites’ system” and “lancet consensus scoring system” in tuberculous vs. non-tuberculous subacute and chronic meningitis: multicenter analysis of 395 adult patients

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Tarek Sulaiman ◽  
Sai Medi ◽  
Hakan Erdem ◽  
Seniha Senbayrak ◽  
Derya Ozturk-Engin ◽  
...  
Keyword(s):  
Bacterial Meningitis ◽  
Diagnostic Accuracy ◽  
Scoring System ◽  
Area Under The Curve ◽  
Receiver Operating Curve ◽  
Chronic Meningitis ◽  
Multicenter Analysis ◽  
Consensus Scoring ◽  
Sensitivity Specificity ◽  
Management Challenge

Abstract Background Tuberculous meningitis (TBM) represents a diagnostic and management challenge to clinicians. The “Thwaites’ system” and “Lancet consensus scoring system” are utilized to differentiate TBM from bacterial meningitis but their utility in subacute and chronic meningitis where TBM is an important consideration is unknown. Methods A multicenter retrospective study of adults with subacute and chronic meningitis, defined by symptoms greater than 5 days and less than 30 days for subacute meningitis (SAM) and greater than 30 days for chronic meningitis (CM). The “Thwaites’ system” and “Lancet consensus scoring system” scores and the diagnostic accuracy by sensitivity, specificity, and area under the curve of receiver operating curve (AUC-ROC) were calculated. The “Thwaites’ system” and “Lancet consensus scoring system” suggest a high probability of TBM with scores ≤4, and with scores of ≥12, respectively. Results A total of 395 patients were identified; 313 (79.2%) had subacute and 82 (20.8%) with chronic meningitis. Patients with chronic meningitis were more likely caused by tuberculosis and had higher rates of HIV infection (P < 0.001). A total of 162 patients with TBM and 233 patients with non-TBM had unknown (140, 60.1%), fungal (41, 17.6%), viral (29, 12.4%), miscellaneous (16, 6.7%), and bacterial (7, 3.0%) etiologies. TMB patients were older and presented with lower Glasgow coma scores, lower CSF glucose and higher CSF protein (P < 0.001). Both criteria were able to distinguish TBM from bacterial meningitis; only the Lancet score was able to differentiate TBM from fungal, viral, and unknown etiologies even though significant overlap occurred between the etiologies (P < .001). Both criteria showed poor diagnostic accuracy to distinguish TBM from non-TBM etiologies (AUC-ROC was <. 5), but Lancet consensus scoring system was fair in diagnosing TBM (AUC-ROC was .738), sensitivity of 50%, and specificity of 89.3%. Conclusion Both criteria can be helpful in distinguishing TBM from bacterial meningitis, but only the Lancet consensus scoring system can help differentiate TBM from meningitis caused by fungal, viral and unknown etiologies even though significant overlap occurs and the overall diagnostic accuracy of both criteria were either poor or fair.

scholarly journals Diagnostic Performance of Deep LearnIng AlgoriThm for Analysis of Computed Tomography Myocardial PerfusION

2021 ◽  
Author(s):  
Giuseppe Muscogiuri ◽  
Mattia Chiesa ◽  
Andrea Baggiano ◽  
Pierino Spadafora ◽  
Rossella De Santis ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Deep Learning ◽  
Diagnostic Accuracy ◽  
Learning Algorithm ◽  
Significant Coronary Artery Disease ◽  
Patient Specific ◽  
Fractional Flow ◽  
Flow Reserve ◽  
Specific Sensitivity ◽  
Sensitivity Specificity

Abstract Purpose: Artificial intelligence could play a key role in cardiac imaging analysis. To evaluate the diagnostic accuracy of a deep learning (DL) algorithm predicting hemodynamically significant coronary artery disease (CAD) by using a rest dataset of myocardial computed tomography perfusion (CTP) as compared to invasive evaluation. Methods: One hundred and twelve consecutive symptomatic patients scheduled for clinically indicated invasive coronary angiography (ICA) underwent CCTA plus static stress CTP and ICA with invasive fractional flow reserve (FFR) for stenoses ranging between 30% and 80%. Subsequently, a DL algorithm for the prediction of significant CAD by using the rest dataset (CTP-DLrest) and stress dataset (CTP-DLstress) was developed. The diagnostic accuracy for identification of significant CAD using CCTA, CCTA+CTPStress, CCTA+CTP-DLrest, and CCTA+CTP-DLstress were measured and compared. The time of analysis for CTPStress, CTP-DLrest and CTP-DLStress were recorded. Results: Patient-specific sensitivity, specificity, NPV, PPV, accuracy and area under the curve (AUC) of CCTA alone and CCTA+CTPStress were 100%, 33%, 100%, 54%, 63%, 67% and 86%, 89%, 89%, 86%, 88%, 87%, respectively. Patient-specific sensitivity, specificity, NPV, PPV, accuracy and AUC of CCTA+DLrest and CCTA+DLstress were 100%, 72%, 100%, 74%, 84%, 96% and 93%, 83%, 94%, 81%,88%,98%, respectively. All CCTA+CTPStress, CCTA+CTP-DLRest and CCTA+CTP-DLStress significantly improved detection of hemodynamically significant CAD (p<0.01).Time of CTP-DL was significantly lower as compared to human analysis (39.2±3.2 vs. 379.6±68.0 seconds, p<0.001).Conclusion: Evaluation of myocardial ischemia using a DL approach on rest CTP datasets is feasible and accurate. This approach may be a useful gatekeeper prior to CTPStress.

scholarly journals Comparative accuracy and cost-effectiveness of dynamic contrast-enhanced CT and positron emission tomography in the characterisation of solitary pulmonary nodules

Thorax ◽  
2021 ◽  
pp. thoraxjnl-2021-216948
Author(s):  
Fiona J Gilbert ◽  
Scott Harris ◽  
Kenneth A Miles ◽  
Jonathan R Weir-McCall ◽  
Nagmi R Qureshi ◽  
...  
Keyword(s):  
Cost Effectiveness ◽  
Diagnostic Accuracy ◽  
Pulmonary Nodules ◽  
Solitary Pulmonary Nodules ◽  
Contrast Enhanced Ct ◽  
Positron Emission ◽  
Contrast Enhanced ◽  
Pet Ct ◽  
Enhanced Ct ◽  
Sensitivity Specificity

IntroductionDynamic contrast-enhanced CT (DCE-CT) and positron emission tomography/CT (PET/CT) have a high reported accuracy for the diagnosis of malignancy in solitary pulmonary nodules (SPNs). The aim of this study was to compare the accuracy and cost-effectiveness of these.MethodsIn this prospective multicentre trial, 380 participants with an SPN (8–30 mm) and no recent history of malignancy underwent DCE-CT and PET/CT. All patients underwent either biopsy with histological diagnosis or completed CT follow-up. Primary outcome measures were sensitivity, specificity and overall diagnostic accuracy for PET/CT and DCE-CT. Costs and cost-effectiveness were estimated from a healthcare provider perspective using a decision-model.Results312 participants (47% female, 68.1±9.0 years) completed the study, with 61% rate of malignancy at 2 years. The sensitivity, specificity, positive predictive value and negative predictive values for DCE-CT were 95.3% (95% CI 91.3 to 97.5), 29.8% (95% CI 22.3 to 38.4), 68.2% (95% CI 62.4% to 73.5%) and 80.0% (95% CI 66.2 to 89.1), respectively, and for PET/CT were 79.1% (95% CI 72.7 to 84.2), 81.8% (95% CI 74.0 to 87.7), 87.3% (95% CI 81.5 to 91.5) and 71.2% (95% CI 63.2 to 78.1). The area under the receiver operator characteristic curve (AUROC) for DCE-CT and PET/CT was 0.62 (95% CI 0.58 to 0.67) and 0.80 (95% CI 0.76 to 0.85), respectively (p<0.001). Combined results significantly increased diagnostic accuracy over PET/CT alone (AUROC=0.90 (95% CI 0.86 to 0.93), p<0.001). DCE-CT was preferred when the willingness to pay per incremental cost per correctly treated malignancy was below £9000. Above £15 500 a combined approach was preferred.ConclusionsPET/CT has a superior diagnostic accuracy to DCE-CT for the diagnosis of SPNs. Combining both techniques improves the diagnostic accuracy over either test alone and could be cost-effective.Trial registration numberNCT02013063

The role of D-dimer in periprosthetic joint infection: a systematic review and meta-analysis

Diagnosis ◽  
2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Giovanni Balato ◽  
Cristiano De Franco ◽  
Fiamma Balboni ◽  
Vincenzo De Matteo ◽  
Tiziana Ascione ◽  
...  
Keyword(s):  
Diagnostic Accuracy ◽  
Blood Sample ◽  
Periprosthetic Joint Infection ◽  
Meta Analysis ◽  
Joint Infection ◽  
Negative Likelihood Ratio ◽  
Diagnostic Odds Ratio ◽  
Receiver Operating Curve ◽  
Sensitivity Specificity ◽  
D Dimer

Abstract Objectives The current literature on diagnosis of periprosthetic joint infection (PJI) provides controversial evidence on the diagnostic accuracy of D-dimer. Therefore, this critical literature search and meta-analysis was aimed to summarize the diagnostic accuracy of D-dimer for diagnosing PJI. Content We searched MEDLINE, Scopus, and Web of Science, for studies on D-dimer for diagnosing PJI, according to the PRISMA flowchart. QUADAS was used for assessing study quality. Sensitivity, specificity, positive (PLR) and negative likelihood ratio (NLR), and diagnostic odds ratio (DOR) were analyzed using bivariate diagnostic random-effects model. The area under the receiver-operating curve (AUC-ROC) was calculated. Subgroup analysis and univariate meta-regression were carried out for detecting potential sources of heterogeneity. Summary We included 12 articles, totaling 1,818 patients (539 with PJI). The pooled sensitivity and specificity of D-dimer for diagnosing PJI were 0.739 (95% CI: 0.616–0.833) and 0.785 (95% CI: 0.679–0.863). The pooled PLR, NLR, DOR were 3.359 (95% CI, 2.340–4.821), 0.295 (95% CI, 0.180–0.484), and 11.787 (95% CI, 5.785–24.018). The cumulative ROC plot displayed an AUC of 0.688 (95% CI, 0.663–0.713; p<0.001). No threshold effects could be observed. The type of blood sample was identified as possible source of heterogeneity for DOR (p=0.01). Outlook Evidence emerged from this meta-analysis suggests that D-dimer displays sufficient diagnostic accuracy to rule out PJI. The type of blood sample (plasma vs. serum) and the study design could influence the results in terms of DOR and sensitivity. However, further perspective studies would be needed to validate its potential diagnostic usefulness.

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