Rapid discrimination of malignant lesions from normal gastric tissues utilizing Raman spectroscopy system: a meta-analysis

Ouyang, Huan; Xu, Jiahui; Zhu, Zhengjie; Long, Tengyun; Yu, Changjun

doi:10.1007/s00432-015-1971-9

Cited by 13 publications

(12 citation statements)

References 39 publications

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“…The meta-analysis provided evidence for good diagnostic accuracy of RAS in differentiating breast lesions, with the overall AUC being 0.98 (95% CI 0.97–0.99). It was in agreement with the recent meta-analysis [ 10 ]. We detected obvious heterogeneity within all pooled studies, so we performed subgroup analyses in order to investigate the potential factors that influence the heterogeneity and diagnostic accuracy.…”

Section: Discussionsupporting

confidence: 93%

“…We detected obvious heterogeneity within all pooled studies, so we performed subgroup analyses in order to investigate the potential factors that influence the heterogeneity and diagnostic accuracy. The type of sample (in or ex vivo) was suggested to be put into consideration by a previous meta-analysis [ 10 ]. Nevertheless, we were not able to analyze it because only one study with 30 samples performed in vivo was included.…”

Section: Discussionmentioning

confidence: 99%

“…Recently, Raman spectroscopy system (RAS) has also been explored for biomedical applications (e.g. cancer diagnosis) with its non-invasive and effective features of providing detailed spectroscopic information about biomolecular structures and conformations of cells and tissues [ 9 , 10 ]. According to the preliminary findings, RAS has shown tremendous promise for mini- or non-invasive, real-time, bedside and intra-operatory cancer discrimination, as well as for an ex vivo imaging tool in support to pathologists.…”

Section: Introductionmentioning

confidence: 99%

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Rapid Discrimination of Malignant Breast Lesions from Normal Tissues Utilizing Raman Spectroscopy System: A Systematic Review and Meta-Analysis of In Vitro Studies

Deng

Zhu

et al. 2016

PLoS ONE

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PurposeThe aim of this study is to evaluate the diagnostic accuracy of Raman spectroscopy system in the detection of malignant breast lesions through a systemic review and meta-analysis of published studies.MethodsWe conducted a comprehensive literature search of PubMed and Embase from 2000 to June 2015. Published studies that evaluated the diagnostic performance of Raman spectroscopy in distinguishing malignant breast lesions from benign lesions and normal tissues were included in our study. The pooled sensitivity, specificity, diagnostic odds ratio, and the area under the curve of summary receiver-operating characteristic curves was derived. A Revised Tool for the Quality Assessment of Diagnostic Accuracy Studies guidelines was used to assess the quality of included studies.ResultsThe initial search produced a total of 157 articles after removing duplicates. Nine studies (8 in vitro and 1 in vivo) were eligible in this meta-analysis. We analyzed the eight in vitro studies with 1756 lesions, the pooled sensitivity and specificity of Raman spectroscopy system for the diagnosis of malignant breast lesions were 0.92 (95% CI 0.86–0.96) and 0.97 (97% CI 0.93–0.98), respectively. Diagnostic odds ratio was 266.70 (95% CI 89.38–795.79), and the area under the curve of summary receiver-operating characteristic curves was 0.98 (95% CI 0.97–0.99). Significant heterogeneity was found between studies. There was no evidence of considerable publication bias.ConclusionsRaman spectroscopy system is an optical diagnostic technology with great value for detecting malignant breast lesions. At the same time, it has advantages of being non-invasive, real-time, and easy to use. Thus it deserves to be further explored for intra-operatory breast tumor margin detection.

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Section: Discussionsupporting

confidence: 93%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Rapid Discrimination of Malignant Breast Lesions from Normal Tissues Utilizing Raman Spectroscopy System: A Systematic Review and Meta-Analysis of In Vitro Studies

Deng

Zhu

et al. 2016

PLoS ONE

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“…Furthermore, the Spearman correlation coefficient was computed to explore the threshold effect. [27] Moreover, we used Egger linear regression tests to assess risk of publication bias with P < .05 for the coefficient slopes implying significantly asymmetry. [28]…”

Section: Methodsmentioning

confidence: 99%

Diagnosis accuracy of Raman spectroscopy in colorectal cancer

et al. 2019

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Background: The clinical significance of Raman spectroscopy (RS) in colorectal cancer (CRC) patients still remains underestimated. We performed this meta-analysis to elucidate the diagnostic value in CRC patients. Methods: We systematically searched electronic databases for published articles. Fixed effect model and random effect model were used to calculate the pooled sensitivity, specificity, diagnostic accuracy, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR) and positive posttest probability (PPP) of CRC. Meta-regression and subgroup analysis were conducted to assess potential source of heterogeneity. We also used Egger linear regression tests to assess risk of publication bias. Results: Thirteen studies had been included (679 patients: 186 with premalignant lesions and 493 with malignant lesions). The pooled sensitivity, specificity, diagnostic accuracy, PLR, NLR, DOR and PPP for CRC screening using RS were 0.94 (0.92–0.96), 0.94 (0.88–0.97), 0.96 (0.94–0.98), 16.44 (7.80–34.63), 0.062 (0.043–0.090), 263.65 (99.03–701.96) and 86%, respectively. Conclusion: RS is a potentially useful tool for future CRC screening. It also offers potentially early detection for CRC patients.

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“…RS has been shown to be highly sensitive to tissue changes. [9][10][11] Additionally, molecular level changes can be detected by RS. Therefore, RS can be used for the early diagnosis of oral cancer, and it has obvious advantages over traditional pathology and imaging systems.…”

mentioning

confidence: 99%

The accuracy of Raman spectroscopy in the detection and diagnosis of oral cancer: A systematic review and meta‐analysis

Zhan

Yuan

et al. 2020

J Raman Spectroscopy

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The aim of this study was to systematically review and assess the diagnostic accuracy of Raman spectroscopy (RS) for oral cancer tissue, oral precancerous lesions, and normal oral tissue. Methods: PubMed, Embase, Web of Science, the China National Knowledge Infrastructure, and gray literature were searched for all relevant articles published before July 2019. We used the Quality Assessment of Diagnostic Accuracy Studies tool to assess the quality of the included studies. We estimated the pooled sensitivity, specificity, positive and negative likelihood ratios (PLR and NLR), diagnostic odds ratio (DOR), and established summary receiver operating characteristic (SROC) curves to identify the diagnostic accuracy of RS for oral cancer tissue, oral precancerous lesions, and normal oral tissue. In addition, the area under the curve (AUC) was reported to estimate the overall effectiveness of RS. Results: A total of 41 articles were eligible for this meta-analysis. The coalescent sensitivity and specificity of RS in diagnosing oral cancer in vivo were 0.91 and 0.85. The positive likelihood ratio, the negative likelihood ratio, and the area under the curve were 8.01, 0.10, and 0.9284. The frozen tissue subgroup in vitro oral cancer group showed improved diagnostic accuracy with an AUC of 0.9968. The in vitro frozen tissue group also showed better diagnostic accuracy in distinguishing between oral precancerous lesions and normal oral tissues. Conclusions: RS has the advantages of being noninvasive and able to provide real-time and in situ results, so it deserves to be studied and improved further to better serve clinical work. K E Y W O R D S diagnosis, meta-analysis, oral cancer, oral precancerous lesion, Raman spectroscopy 1 | INTRODUCTION Oral cancer, a type of head and neck cancer, is a generic term for malignant tumors that occur in the mouth, most † These authors contributed equally to this work.

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Rapid discrimination of malignant lesions from normal gastric tissues utilizing Raman spectroscopy system: a meta-analysis

Abstract: RAS is an objective and sensitive optical diagnostic technology for detecting gastric cancer and has advantages of being noninvasive to the body, real-time diagnosis, and ease of use. Consequently, it does deserve to be recommended.

Cited by 13 publications

References 39 publications

Rapid Discrimination of Malignant Breast Lesions from Normal Tissues Utilizing Raman Spectroscopy System: A Systematic Review and Meta-Analysis of In Vitro Studies

Rapid Discrimination of Malignant Breast Lesions from Normal Tissues Utilizing Raman Spectroscopy System: A Systematic Review and Meta-Analysis of In Vitro Studies

Diagnosis accuracy of Raman spectroscopy in colorectal cancer

The accuracy of Raman spectroscopy in the detection and diagnosis of oral cancer: A systematic review and meta‐analysis

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