Value of the Copenhagen index in the diagnosis of malignant adnexal tumors: A meta‐analysis

Yue, Xiang; Yue, Zhenni; Wang, Ying; Dong, Zhenjin; Yang, Hua; Yue, Sifeng

doi:10.1002/ijgo.14310

Cited by 3 publications

(4 citation statements)

References 26 publications

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“…In the present study, the AUC of CPH-I for predicting stage I-IV EOC was 0.925. The results of the present study are consistent with those of previous studies 6 , 10 - 12 . Additionally, the AUC of CPH-I in predicting stage I-II EOC was 0.835; these results were consistent with those of previous studies 6 , 10 , 11 .…”

Section: Discussionsupporting

confidence: 94%

“…Additionally, the AUC of CPH-I in predicting stage I-II EOC was 0.835; these results were consistent with those of previous studies [6,10,11]. ROMA and CPH-I were significantly correlated (r=0.95), as previously reported [6,[10][11][12]. Moreover, no significant differences in AUCs were found between ROMA and CPH-I in predicting stages I-IV and I-II EOC.…”

Section: Discussionsupporting

confidence: 92%

“…The Copenhagen Index (CPH-I) consists of age, CA125, and HE4. The AUC of CPH-I for predicting EOC ranged from 0.88 to 0.94 6 , 10 - 12 . The relative performance of CPH-I to ROMA for predicting stage I-IV EOC or stage I-II EOC is comparable 6 , 10 , 11 .…”

Section: Introductionmentioning

confidence: 99%

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Clinical Significance of the Combination of Serum HE4 Levels, Hemoglobin-to-Red Cell Distribution Width Ratio, and CT Imaging for the Pretreatment Assessment of Adnexal Masses

Jang¹,

Kim²,

Eo³

et al. 2023

J. Cancer

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Background : This study aimed to determine the optimal combination of biomarkers that can predict epithelial ovarian cancer (EOC) and compare the combination with the risk of ovarian malignancy algorithm (ROMA) or Copenhagen index (CPH-I). Methods : Data from 66 patients with EOC and 599 patients with benign ovarian masses who underwent definitive tissue diagnosis of adnexal masses between January 2017 and March 2021 were analyzed. The Mann-Whitney U test or Kruskal-Wallis test was used for between-group comparisons of medians. Logistic regression was used to establish an EOC predictor model. Area under the curve (AUC) comparisons between models were performed using the Delong nonparametric approach. Results : The median age of the patients was 43 years. Twenty-nine (43.9%) patients had early-stage disease (stages I-II) and 37 (56.1%) patients had advanced-stage disease (stages III-IV). The median age, body mass index, white blood cell count, hemoglobin-to-red cell distribution width ratio (HRR), platelet count, platelet-to-lymphocyte ratio, lymphocyte-to-monocyte ratio, serum albumin level, cancer antigen 125, human epididymal secretory protein 4 (HE4), ROMA, and CPH-I were significantly different between the stage I-IV EOC and benign ovarian mass groups. Multivariate logistic regression analysis revealed that HE4, HRR, and computed tomography (CT) imaging were significant predictors of both stages I-IV and I-II EOC. Using these covariates, an interim model (IM) (consisting of HE4 and HRR) and a full model (FM) (consisting of HE4, HRR, and CT imaging) were constructed. When predicting stage I-IV EOC, the AUC of IM was comparable to that of ROMA or CPH-I, whereas the AUC of FM outperformed ROMA or CPH-I. In predicting stage I-II EOC, the AUC of IM was comparable to that of CPH-I but higher than that of ROMA, and the AUC of FM outperformed ROMA or CPH-I. Conclusion : FM outperformed ROMA or CPH-I in predicting stage I-IV EOC and stage I-II EOC. Therefore, FM could be a promising model for improving preoperative prediction of EOC at an early stage. However, further prospective studies are required to validate these results.

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Section: Discussionsupporting

confidence: 94%

Section: Discussionsupporting

confidence: 92%

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Clinical Significance of the Combination of Serum HE4 Levels, Hemoglobin-to-Red Cell Distribution Width Ratio, and CT Imaging for the Pretreatment Assessment of Adnexal Masses

Jang¹,

Kim²,

Eo³

et al. 2023

J. Cancer

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“…The first step is to obtain the upper bound of the first part of the right-hand side of (20). After applying Th.…”

Section: Proofmentioning

confidence: 99%

Performance Analysis for Reconfigurable Intelligent Surface Assisted MIMO Systems

Sui¹,

Lin²,

Xiao³

et al. 2022

Preprint

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<p>This paper investigates the maximal achievable rate for a given average error probability and blocklength for the reconfigurable intelligent surface (RIS) assisted multiple-input and multiple-output (MIMO) system. The result consists of a finite blocklength channel coding achievability bound and a converse bound based on the Berry-Esseen theorem, the Mellin transform and the mutual information. Numerical evaluation shows fast speed of convergence to the maximal achievable rate as the blocklength increases and also proves that the channel variance is a sound measurement of the backoff from the maximal achievable rate due to finite blocklength.</p>

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Performance Analysis for Reconfigurable Intelligent Surface Assisted MIMO Systems

Sui¹,

Lin²,

Xiao³

et al. 2022

Preprint

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Value of the Copenhagen index in the diagnosis of malignant adnexal tumors: A meta‐analysis

Cited by 3 publications

References 26 publications

Clinical Significance of the Combination of Serum HE4 Levels, Hemoglobin-to-Red Cell Distribution Width Ratio, and CT Imaging for the Pretreatment Assessment of Adnexal Masses

Clinical Significance of the Combination of Serum HE4 Levels, Hemoglobin-to-Red Cell Distribution Width Ratio, and CT Imaging for the Pretreatment Assessment of Adnexal Masses

Performance Analysis for Reconfigurable Intelligent Surface Assisted MIMO Systems

Performance Analysis for Reconfigurable Intelligent Surface Assisted MIMO Systems

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