Dev’s Formulae for Diagnostic Test Accuracy Meta-analysis

Desai, Dev

doi:10.1101/2023.03.27.23287186

Cited by 8 publications

(7 citation statements)

References 1 publication

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“…The statistical software packages RevMan (Review Manager, version 5.3), SPSS (Statistical Package for the Social Sciences, version 20), Google Sheets, and Excel in Stata 14 were used to create the statistical analyses. The data was created and entered into analytic software [9]. Fixed-or random-effects models were used to determine Sensitivity, Specificity, positive predictive value (PPV), diagnostic odds ratios (DOR), and relative risk (RR) with 95 percent confidence intervals to examine critical clinical outcomes (CIs).…”

Section: Discussionmentioning

confidence: 99%

Effect of using Diffusion-Weightage Imaging on Diagnostic Accuracy of MRI in catching Parotid carcinoma: A meta-analysis

Desai,

Todorovski,

Malafi

et al. 2023

Preprint

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Background: A wide variety of benign and malignant tumors can develop in the salivary gland, which makes up roughly 3-5% of all head and neck tumors. Making a precise pre-operative distinction between benign and malignant salivary gland tumors, or identifying the precise histologic subtype, is crucial since this knowledge has a significant impact on the treatment strategy. The results of fine-needle aspiration cytology can occasionally be inaccurate since it is an intrusive procedure for diagnosing parotid tumors before surgery. Because of the tiny sample size or the deep placement of the tumor, it is sometimes impossible to gather adequate samples therefore Salivary gland tumors are increasingly being evaluated before surgery using MRI since it can pinpoint their precise location, size, and surrounding tissues. Methods: Medical literature was comprehensively searched and reviewed without restrictions to particular study designs, or publication dates using PubMed, Cochrane Library, and Google Scholar databases for all relevant literature. The extraction of necessary data proceeded after specific inclusion and exclusion criteria were applied. The inclusion criteria were as follows:; (1) Literature that provided information about the accurate diagnosis with MRI(DWI) and only MRI ; (2) papers published in English; (3) papers with appropriate patient criteria. The exclusion criteria were: (1) articles that were not full text, (2) unpublished articles, and (3) non-English articles. In this Meta-Analysis, a total of 8 RCTs with a total of 944 patients were selected, out of which 3 RCTs with a total of 356 patients were selected for MRI and 5 RCTs with a total of 588 patients were selected for MRI+DWI study. wherein two writers independently assessed the caliber of each study as well as the use of the Cochrane tool for bias risk apprehension. The statistical software packages RevMan (Review Manager, version 5.3), SPSS (Statistical Package for the Social Sciences, version 20), and Excel in Stata 14 were used to perform the statistical analyses. Results: We calculated the sensitivity and specificity of MRI in diagnosing parotid gland lesions in the different papers, For the MRI, The sensitivity is 0.81 with a CI of 95% in a range of 0.77 to 0.86, the mean being 0.049. The Sensitivity of the MRI is 0.790 with a CI of 95% in a range of (0.772 to 0.809) the mean being (0.0183). The Specificity of the MRI is 0.794 with a CI of 95% in a range of ( 0.613 to 0.975) the mean being (0.181). For the MRI+DWI study, The Sensitivity of the MRI+DWI is 0.618 with a CI of 95% in a range of (0.498 to 0.737); the mean being (0.119). The Specificity of the MRI+DWI is 0.892 with a CI of 95% in a range of (0.813 to 0.97) the mean being ( 0.079). Conclusion: In addition to simple MRI or Single DWI MRI, A combination of both would detect higher lesions and it should be helpful for staging and early diagnosis purposes only. Keywords: 'Parotid carcinoma imaging', 'Result of Diffusion-weighted imaging (DWI) MRI Scan in parotid carcinoma diagnosis', and 'MRI in Parotid carcinoma'

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Section: Discussionmentioning

confidence: 99%

Effect of using Diffusion-Weightage Imaging on Diagnostic Accuracy of MRI in catching Parotid carcinoma: A meta-analysis

Desai,

Todorovski,

Malafi

et al. 2023

Preprint

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“…The forest plot and Fagan's Nomogram were used to illustrate the sensitivity and specificity of different papers. [5]…”

Section: Discussionmentioning

confidence: 99%

Diagnostic accuracy of CEUS in identifying Solid Pancreatic Lesions:- A meta analysis

Desai,

Patel,

Shah

et al. 2023

Preprint

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Background- Solid pancreatic lesions are crucial to identify because of their high incidence rate and their poor survival rate. Surgical biopsy, ultrasonography, computed tomography, MRI, and PET-CT are examples of diagnostic tools. Although common, endoscopic ultrasonography guided biopsy carries a risk of needle track seeding. A more effective and affordable method for determining the differential diagnosis of solid pancreatic lesions is contrast-enhanced ultrasonography (CEUS). CEUS is a less nephrotoxic method that uses a contrast chemical to distinguish between teratomas, benign tumors, and neuroendocrine tumors. The goal of this meta-analysis is to evaluate how well CEUS can identify solid pancreatic lesions for use in clinical diagnostic procedures. Methodology- Medical literature comprehensively searched and reviewed without restrictions to particular study designs, or publication dates using PubMed, Cochrane Library and Google Scholar databases for all relevant literature. The extraction of necessary data proceeded after specific inclusion and exclusion criteria were applied. Meta Analysis included 27 RCTs and 3061 patients, and analyzed using the QualSyst yool. The risk of bias was evaluated by using QUADAS-2 analysis. The statistical software packages MetaDiSc 1.4, RevMan (Review Manager, version 5.3), SPSS (Statistical Package for the Social Sciences, version 20) and Excel in Stata 14 were used to perform the statistical analyses. Result- According to the findings of four studies, CEUS demonstrates high sensitivity, with values equal to or above 95%, and one study indicates specificity above 95%. True Positive (TP) and True Negative (TN) values are reported as 2080 and 621, respectively, while False Positive (FP) and False Negative (FN) values are noted as 124 and 236. With a 95% confidence interval, CEUS sensitivity is calculated as 0.90 (range: 0.89 to 0.91) and specificity as 0.83 (range: 0.80 to 0.86). The positive predictive value (PPV) of CEUS is estimated at approximately 94.3%. These results highlight CEUS as a promising tool for diagnosing pancreatic lesions. Conclusion- The study concluded that CEUS (Contrast-Enhanced Ultrasound) is an important diagnostic test for pancreatic lesions. This is due to their high sensitivity and specificity, along with other aspects like enhanced visualization, real-time imaging, and safety benefits. Additionally, CEUS is cost-effective, making it a practical choice in healthcare settings with budget constraints. Thus, CEUS remains a valuable asset for healthcare professionals in their efforts to accurately diagnose pancreatic lesions. Keywords- CEUS , pancreatic lesions , Contrast Enhanced Ultrasound , diagnosis , Sensitivity , Specificity , diagnostic imaging

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“…The statistical software packages RevMan (Review Manager, version 5.3), SPSS (Statistical Package for the Social Sciences, version 20), Google Sheets, and Excel in Stata 14 were used to perform the statistical analyses. The data was obtained and entered into analytic software [21]. Fixed-or random-effects models were used to estimate Sensitivity, Specificity, positive predictive value (PPV), diagnostic odds ratios (DOR), and relative risk (RR) with 95 percent confidence intervals to examine critical clinical outcomes (CIs).…”

Section: Discussionmentioning

confidence: 99%

Is using Dual Energy Virtual Enhancing over Non-Contrast CT beneficial in terms of Diagnostic Accuracy of finding Adrenal Adenoma? : A Meta-analysis

Desai,

Duisenbayev,

Maniyar

et al. 2023

Preprint

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Background: The study compared the diagnostic accuracy of Dual Energy Virtual Non-Contrast CT (DEvNCT) to Non-Contrast CT (NCT) for adrenal adenomas. Adrenal nodules on CT scans require precise characterization to differentiate between benign and malignant lesions. CT imaging uses features like low attenuation and contrast enhancement to identify adenomas. However, distinguishing adenomas from non-adenoma lesions can be challenging due to overlapping attenuation levels. DEvNCT, a post-processing technique enabled by dual-energy CT, optimizes adrenal lesion evaluation. The study aimed to compare the diagnostic accuracy of DEvNCT and NCT for adrenal adenomas. Methodology: A systematic review and meta-analysis searched relevant literature in PubMed, Google Scholar, and Cochrane Library databases. The analysis included nine randomized controlled trials (RCTs) with 407 patients: three RCTs for NCT vs. Biopsy and six RCTs for DEvNCT vs. NCT. Study quality was assessed using appropriate tools. Result: Results revealed DEvNCT had 72% sensitivity, 94% specificity, and 0.878 positive predictive value for adrenal adenoma diagnosis. NCT had 80% sensitivity, 68.1% specificity, and 0.831 positive predictive values. The difference in specificity between DEvNCT and NCT was significant, indicating DEvNCT's superior ability to identify adenomas accurately. Conclusion: The study concluded that DEvNCT exhibited comparable sensitivity but higher specificity than NCT in diagnosing adrenal adenomas. DEvNCT could potentially reduce follow-up imaging, lower costs, and minimize radiation exposure. However, biopsy remains the gold standard for confirming adrenal adenoma diagnosis. Overall, DEvNCT shows promise for improving diagnostic accuracy compared to NCT in diagnosing adrenal adenomas. Further research and clinical validation are needed to confirm these findings. Key Words: "Dual-Energy CT(DECT) For Adrenal Adenoma", "Non-contrast CT (NCT\NCCT) for Adrenal Adenoma", "Biopsy of Adrenal gland lesions", "Adrenal gland imaging for Adenomas"

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Dev’s Formulae for Diagnostic Test Accuracy Meta-analysis

Cited by 8 publications

References 1 publication

Effect of using Diffusion-Weightage Imaging on Diagnostic Accuracy of MRI in catching Parotid carcinoma: A meta-analysis

Effect of using Diffusion-Weightage Imaging on Diagnostic Accuracy of MRI in catching Parotid carcinoma: A meta-analysis

Diagnostic accuracy of CEUS in identifying Solid Pancreatic Lesions:- A meta analysis

Is using Dual Energy Virtual Enhancing over Non-Contrast CT beneficial in terms of Diagnostic Accuracy of finding Adrenal Adenoma? : A Meta-analysis

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