scholarly journals CT Signs and Differential Diagnosis of Peripheral Lung Cancer and Inflammatory Pseudotumor: A Meta-Analysis

2022 ◽  
Vol 2022 ◽  
pp. 1-11
Author(s):  
Shiyi Zheng ◽  
Jie Shu ◽  
Jianan Xue ◽  
Caiyun Ying
Keyword(s):  
Lung Cancer ◽  
Inflammatory Pseudotumor ◽  
Meta Analysis ◽  
Statistical Significance ◽  
Lesion Size ◽  
Cochrane Library ◽  
Peripheral Lung Cancer ◽  
Enhanced Ct ◽  
Peripheral Lung ◽  
The Difference

We aimed to systematically evaluate the imaging features of peripheral lung cancer and inflammatory pseudotumor. PubMed, Embase, Cochrane Library, Chinese Knowledge Infrastructure (CNKI), Wanfang database (Wanfang), and Chinese Biomedical Network (CBM) were searched to collect relevant studies on CT image comparison of peripheral lung cancer and inflammatory pseudotumor. The search time was from database establishment to July 15, 2021. The search language was limited to Chinese and English. Data from the literature were screened and extracted, and meta-analysis was performed using Stata 16.0 software. A total of 8 cohort studies were included in this meta-analysis, including 675 patients. Meta-analysis showed that the lesion size of inflammatory pseudotumor was greater than that of peripheral lung cancer, and the difference had statistical significance [SMD = 0.29, 95% CI (0.01, 0.58), P < 0.05 ]. The difference in HU value between inflammatory pseudotumor and peripheral lung cancer CT had no statistical significance [SMD = −0.09, 95% CI (−0.79, 0.60), P > 0.05 ]. The HU value of enhanced CT of inflammatory pseudotumor was higher than that of peripheral lung cancer, and the difference had statistical significance [SMD = 0.75, 95% CI (0.15, 1.34), P < 0.05 ]. The incidence of calcification of inflammatory pseudotumor was significantly higher than that of peripheral lung cancer, and the difference had statistical significance [RR = 2.85, 95% CI (1.33, 6.11), P < 0.05 ]. The incidence of long hair puncture sign of inflammatory pseudotumor was lower than that of peripheral lung cancer, and the difference had statistical significance [RR = 0.49, 95% CI (0.24, 0.97), P < 0.05 ]. There was no significant difference between inflammatory pseudotumor and peripheral lung cancer in terms of cavity incidence, vacuole sign, pleural indentation, and bronchial inflation sign ( P > 0.05 ). Based on the available literature evidence, it can be found that there are differences in the CT signs between peripheral lung cancer and inflammatory pseudotumor, and the lesion size, HU value on enhanced CT, incidence of calcification, and incidence of burr sign may be important indicators for differentiating peripheral lung cancer from inflammatory pseudotumor.

scholarly journals The Value of Additional Conventional Transbronchial Biopsy in the Negative Results of Rapid On-site Evaluation During Endobronchial Ultrasound With Guide Sheath to Diagnose Small Peripheral Lung Cancer

2021 ◽  
Vol 20 ◽  
pp. 153303382110430
Author(s):  
Takayasu Ito ◽  
Shotaro Okachi ◽  
Tadasuke Ikenouchi ◽  
Futoshi Ushijima ◽  
Takamasa Ohashi ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Diagnostic Yield ◽  
Lesion Size ◽  
Malignant Cells ◽  
Negative Group ◽  
Peripheral Lung Cancer ◽  
Peripheral Lung ◽  
Site Evaluation ◽  
The Rose ◽  
Positive Results

Objective: The accuracy of rapid on-site evaluation (ROSE) during endobronchial ultrasonography with guide sheath (EBUS-GS) was reported to be approximately 90% for diagnosing small peripheral pulmonary lesions (PPLs). When ROSE during EBUS-GS for diagnosing small peripheral lung cancer is carried out and does not include malignant cells in a position whereby the probe was located within or adjacent to the lesion, the best technique for overcoming the lower diagnostic yield remains unknown. This study aimed to evaluate factors affecting positive results of ROSE during EBUS-GS in such a probe position. Moreover, when the results of ROSE were consistently negative, we evaluated the effectiveness of conventional transbronchial biopsy (TBB) in addition to EBUS-GS alone. Methods: We performed a retrospective analysis of consecutive patients who underwent EBUS-GS combined with ROSE for diagnosing small peripheral lung cancer (≤30 mm). We classified the results of ROSE into two groups based on the presence of malignant cells: the ROSE positive group (included malignant cells) and the ROSE negative group (did not include malignant cells). The significant predictors of positive ROSE results during EBUS-GS were analyzed using multivariate logistic regression analyses. Results: We identified 67 lesions (43 lesions in the ROSE positive group and 24 lesions in the ROSE negative group, respectively). Multivariate logistic analysis revealed that the significant factor affecting positive ROSE results was lesion size (>15 mm) (OR = 9.901). The diagnostic yield of additional conventional TBB to EBUS-GS was significantly higher than that of EBUS-GS alone (75.0% vs 33.3%, P = .041). Conclusion: The positive results of ROSE during EBUS-GS were significantly influenced by lesion size (>15 mm). When the results of ROSE during EBUS-GS were consistently negative in a position whereby the probe was located within or adjacent to the lesion, additional conventional TBB was effective to improve the diagnostic yield compared with EBUS-GS alone.

scholarly journals Using CT texture analysis to differentiate between peripheral lung cancer and pulmonary inflammatory pseudotumor

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Chenlu Liu ◽  
Changsheng Ma ◽  
Jinghao Duan ◽  
Qingtao Qiu ◽  
Yanluan Guo ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Texture Analysis ◽  
Inflammatory Pseudotumor ◽  
Peripheral Lung Cancer ◽  
Peripheral Lung ◽  
Ct Texture Analysis

scholarly journals EFFECTIVENESS OF INTERVENTIONS IN PATIENTS WITH SPEECH DISORDERS. A META-ANALYSIS OF EXPERIMENTAL STUDIES

2021 ◽  
Vol 20 (2) ◽  
pp. 145-152
Author(s):  
Camelia Daniela Cucu ◽  
◽  
Florinda Golu ◽  
Andreea Raluca Adam ◽  
◽  
...  
Keyword(s):  
Meta Analysis ◽  
Statistical Significance ◽  
Intervention Group ◽  
Experimental Studies ◽  
Speech Disorders ◽  
Cochrane Library ◽  
Control Group ◽  
Wide Range ◽  
Post Test ◽  
The Difference

Objectives. The study aims to conduct a meta-analysis on the existence of solid experimental evidence to highlight the effectiveness of interventions in the improvement of speech disorders in patients who have suffered a stroke. It is desired to identify those moderating variables that can influence the effectiveness of these interventions over time, or that demonstrate the extent to which chronicity of stroke may lead to inferior results in speech improvement. Materials and methods. A search was conducted in three databases: Cochrane Library, Web of Science and PubMed, to identify those studies that meet the criterion for intervention, starting with the first records and until now. The qualitative analysis of the studies was performed using Risk of Bias, and the quantitative analysis through Comprehensive Meta-Analysis. Results. As a result of selection, 31 randomized clinical studies were included in the current research, out of the 1923 existing studies. These have been the subject of investigation on aphasia and dysphagia, with a wide range of types and methods of intervention. The results show that the difference in averages between the intervention group and the post-test control group is a significant one (g = 0.528; 95% CI 0.067; 0.004; p = 0.000), while the moderation analysis did not record a statistical significance. Conclusions. Non-pharmacological interventions based on the recovery of speech disorders as a result of stroke have been shown to be effective in many of the researches in specialized literature. Their results show that, as a result of therapies, patients experience improvements in quality of life, communication and many psychiatric disorders. However, it is not clear how effective these interventions are in recovering or ameliorating speech disorders.

scholarly journals Using CT texture analysis to differentiate between peripheral lung cancer and pulmonary inflammatory pseudotumor

2020 ◽  
Author(s):  
Chenlu Liu ◽  
Changsheng Ma ◽  
Jinghao Duan ◽  
Qingtao Qiu ◽  
Yanluan Guo ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Inflammatory Pseudotumor ◽  
Area Under The Curve ◽  
Roc Curves ◽  
Ct Images ◽  
Intensity Difference ◽  
Peripheral Lung Cancer ◽  
Discrimination Ability ◽  
Pet Ct ◽  
Peripheral Lung

Abstract Background: Pulmonary inflammatory pseudotumor (PIPT) usually presents as solitary peripheral well-defined nodules or masses, and CT features are complex and changeable, which are often confused with peripheral lung cancer. This study is to distinguish peripheral lung cancer and PIPT using CT-radiomics features extracted from PET/CT images.Methods: In this study, the standard 18F-fluorodeoxyglucose positron emission tomography/ computed tomography (18 F-FDG PET/CT) images of 21 patients with pulmonary inflammatory pseudotumor (PIPT) and 21 patients with peripheral lung cancer were retrospectively collected. The dataset was used to extract CT-radiomics features from regions of interest (ROI), Using, then, statistical methods to screen CT-radiomics features, which could distinguish peripheral lung cancer and PIPT. And the ability of radiomics features distinguished peripheral lung cancer and PIPT was estimated by receiver operating characteristic (ROC) curves, and compared by Delong test.Results: A total of 435 radiomics features were extracted, of which 23 could difference between peripheral lung cancer and PIPT. these features were seen in 16 of 330 Gray-Level Co-occurrence Matrix features, 1 of 49 Intensity Histogram features, 1 of 5 Neighbor Intensity Difference features, 5 of 18 Shape features. area under the curve (AUC) of these features were 0.731 0.075, 0.717, 0.737, 0.748 0.038, respectively. The P values of statistical differences among ROC were 0.0499 (F11, F23), 0.0472 (F12, F13) and 0.0250 (F13, Mean4). The discrimination ability of forming new features(Parent Feature) after averaging the features extracted at different angles and distances was moderate compared to the previous features(Child features).Conclusions: Radiomics features extracted from non-contrast CT based on PET/CT images can help distinguish peripheral lung cancer and PIPT.

scholarly journals Using CT texture analysis to differentiate between peripheral lung cancer and pulmonary inflammatory pseudotumor

2020 ◽  
Author(s):  
Chenlu Liu ◽  
Changsheng Ma ◽  
Jinghao Duan ◽  
Qingtao Qiu ◽  
Yanluan Guo ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Inflammatory Pseudotumor ◽  
Ct Images ◽  
Peripheral Lung Cancer ◽  
Discrimination Ability ◽  
Positron Emission ◽  
Pet Ct ◽  
Peripheral Lung ◽  
Occurrence Matrix ◽  
Contrast Ct

Abstract Background: This study is to distinguish peripheral lung cancer and pulmonary inflammatory pseudotumor using CT-radiomics features extracted from PET/CT images. Methods: In this study, the standard 18F-fluorodeoxyglucose positron emission tomography/ computed tomography (18 F-FDG PET/CT) images of 21 patients with pulmonary inflammatory pseudotumor (PIPT) and 21 patients with peripheral lung cancer were retrospectively collected. The dataset was used to extract CT-radiomics features from regions of interest (ROI), The intra-class correlation coefficient (ICC) was used to screen the robust feature from all the radiomic features. Using, then, statistical methods to screen CT-radiomics features, which could distinguish peripheral lung cancer and PIPT. And the ability of radiomics features distinguished peripheral lung cancer and PIPT was estimated by receiver operating characteristic (ROC) curve and compared by the Delong test. Results: A total of 435 radiomics features were extracted, of which 361 features showed relatively good repeatability (ICC³0.6). 20 features showed the ability to distinguish peripheral lung cancer from PIPT. these features were seen in 14 of 330 Gray-Level Co-occurrence Matrix features, 1 of 49 Intensity Histogram features, 5 of 18 Shape features. The area under the curves(AUC) of these features were 0.731 0.075, 0.717, 0.748 0.038, respectively. The P values of statistical differences among ROC were 0.0499 (F9, F20), 0.0472 (F10, F11) and 0.0145 (F11, Mean4). The discrimination ability of forming new features (Parent Features) after averaging the features extracted at different angles and distances was moderate compared to the previous features(Child features). Conclusion: Radiomics features extracted from non-contrast CT based on PET/CT images can help distinguish peripheral lung cancer and PIPT.

scholarly journals Effects of Dexmedetomidine as an Analgesic Adjuvant for Surgery of Femur Fracture: A Systematic Review and Meta-Analysis

Pharmacology ◽  
2021 ◽  
pp. 1-9
Author(s):  
Shan Deng ◽  
Yonghao Yu
Keyword(s):  
Femur Fracture ◽  
Meta Analysis ◽  
Sensory Block ◽  
Cochrane Library ◽  
Rescue Analgesia ◽  
Block Level ◽  
Block Time ◽  
Sedation Scores ◽  
The Difference ◽  
The Cochrane Library

Patients who undergo surgery of femur fracture suffer the excruciating pain. Dexmedetomidine (DEX) is a unique α2-adrenergic receptor agonist with sedative and analgesic properties, whose efficacy and safety are still unclear for surgery of femur fracture. Randomized controlled trials comparing the effects of addition of DEX to general or local anesthesia in surgery of femur fracture were searched from MEDLINE, EMBASE, and the Cochrane Library database. Patients who received DEX infusion had a significant longer time to rescue analgesia compared with those without DEX coadministration. DEX treatment seemed to reduce the visual analog score; however, the significance did not reach any statistical difference. DEX as an analgesic adjuvant did not reduce the onset of sensory block time, shorten the time to achieve maximum sensory block level, and provide a longer duration of sensory block. The difference in mean sedation scores between 2 groups was not statistically significant. As for adverse effects, DEX therapy significantly increased the rate of hypotension. In conclusion, dexmedetomidine as a local anesthetic adjuvant in femur fracture surgery had a longer duration of rescue analgesia. However, the incidence of hypotension was markedly increased in these patients. It was worth noting that the evidence was of low to moderate quality.

scholarly journals SAFETY AND FEASIBILITY STUDY OF PHOTODYNAMIC THERAPY FOR ABLATION OF PERIPHERAL LUNG CANCER

CHEST Journal ◽  
2020 ◽  
Vol 157 (6) ◽  
pp. A239
Author(s):  
S. Bansal ◽  
R. Bechara ◽  
J. Patel ◽  
H. Mehta ◽  
J. Ferguson ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Photodynamic Therapy ◽  
Feasibility Study ◽  
Peripheral Lung Cancer ◽  
Peripheral Lung

scholarly journals Potential Therapeutic Effects of Curcumin on Glycemic and Lipid Profile in Uncomplicated Type 2 Diabetes—A Meta-Analysis of Randomized Controlled Trial

Nutrients ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 404
Author(s):  
Emma Altobelli ◽  
Paolo Matteo Angeletti ◽  
Ciro Marziliano ◽  
Marianna Mastrodomenico ◽  
Anna Rita Giuliani ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Lipid Profile ◽  
Effect Size ◽  
Meta Analysis ◽  
Statistical Significance ◽  
Glycosylated Hemoglobin ◽  
Cochrane Library ◽  
Therapeutic Effects ◽  
Model Assessment

Diabetes mellitus is an important issue for public health, and it is growing in the world. In recent years, there has been a growing research interest on efficacy evidence of the curcumin use in the regulation of glycemia and lipidaemia. The molecular structure of curcumins allows to intercept reactive oxygen species (ROI) that are particularly harmful in chronic inflammation and tumorigenesis models. The aim of our study performed a systematic review and meta-analysis to evaluate the effect of curcumin on glycemic and lipid profile in subjects with uncomplicated type 2 diabetes. The papers included in the meta-analysis were sought in the MEDLINE, EMBASE, Scopus, Clinicaltrials.gov, Web of Science, and Cochrane Library databases as of October 2020. The sizes were pooled across studies in order to obtain an overall effect size. A random effects model was used to account for different sources of variation among studies. Cohen’s d, with 95% confidence interval (CI) was used as a measure of the effect size. Heterogeneity was assessed while using Q statistics. The ANOVA-Q test was used to value the differences among groups. Publication bias was analyzed and represented by a funnel plot. Curcumin treatment does not show a statistically significant reduction between treated and untreated patients. On the other hand, glycosylated hemoglobin, homeostasis model assessment (HOMA), and low-density lipoprotein (LDL) showed a statistically significant reduction in subjects that were treated with curcumin, respectively (p = 0.008, p < 0.001, p = 0.021). When considering HBA1c, the meta-regressions only showed statistical significance for gender (p = 0.034). Our meta-analysis seems to confirm the benefits on glucose metabolism, with results that appear to be more solid than those of lipid metabolism. However, further studies are needed in order to test the efficacy and safety of curcumin in uncomplicated type 2 diabetes.

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