Accuracy of Raman spectroscopy in the assisted diagnosis of colon cancer: a meta-analysis_Chinese Journal of Evidence-Based Medicine

Authors：

LI Chenxi ¹ , CHEN Cheng ² , LV Xiaoyi ² ,  GONG Zhongcheng ¹

1. Oncological Department of Oral and Maxillofacial Surgery, the First Affiliated Hospital of Xinjiang Medical University, School / Hospital of Stomatology, Stomatological Research Institute of Xinjiang Uygur Autonomous Region, Urumqi 830054, P. R. China;
2. College of Software Engineering, Xinjiang University, Urumqi 830046, P. R. China;

Corresponding?author：

GONG Zhongcheng, Email: gump0904@aliyun.com

Keywords：

Raman spectroscopy; Colon cancer; Diagnosis; Screening; Systematic review; Meta-analysis

DOI：

10.7507/1672-2531.202112098

Video：

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Objective To systematically review the clinical significance of Raman spectroscopy (RS) in the auxiliary diagnosis of colon cancer (CC). Methods PubMed, Web of Science, The Cochrane Library, CNKI, VIP and WanFang Data databases were electronically searched to collect diagnostic tests related to RS in the auxiliary diagnosis of CC from inception to October 1^st, 2021. Two reviewers independently screened the literature, extracted data and assessed the risk of bias of the included studies. Meta-analysis was then performed using Stata 12.0 and Meta-Disc 1.4 software. Results A total of 21 studies involving 1 419 patients were included. The pooled sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR) and positive posttest probability (PPP) for CC screening applying RS were 0.94 (95%CI 0.93 to 0.95), 0.91 (95%CI 0.90 to 0.92), 157.50 (95%CI 74.44 to 333.21), 10.40 (95%CI 6.62 to 16.33), 0.08 (95%CI 0.05 to 0.12) and 77%, respectively. The area under the curve (AUC) of summary receiver operating characteristic (SROC) curve was 0.98 (95%CI 0.96 to 0.99). Conclusion Current evidence shows that RS is a potentially useful tool for CC screening. Due to the limited quality and quantity of the included studies, more high-quality studies are needed to verify the above conclusion.

Citation： LI Chenxi, CHEN Cheng, LV Xiaoyi, GONG Zhongcheng. Accuracy of Raman spectroscopy in the assisted diagnosis of colon cancer: a meta-analysis. Chinese Journal of Evidence-Based Medicine, 2022, 22(6): 649-654. doi: 10.7507/1672-2531.202112098 Copy

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2.	Rembacken B, Hassan C, Riemann JF, et al. Quality in screening colonoscopy: position statement of the European Society of Gastrointestinal Endoscopy (ESGE). Endoscopy, 2012, 44(10): 957-968.
3.	李夢雅, 夏珂, 和海妍, 等. 拉曼光譜技術在檢驗醫學中的研究進展及應用. 中華檢驗醫學雜志, 2021, 44(1): 70-74.
4.	Ito H, Uragami N, Miyazaki T, et al. Highly accurate colorectal cancer prediction model based on Raman spectroscopy using patient serum. World J Gastrointest Oncol, 2020, 12(11): 1311-1324.
5.	Liu W, Wang H, Du J, et al. Raman microspectroscopy of nucleus and cytoplasm for human colon cancer diagnosis. Biosens Bioelectron, 2017, 97: 70-74.
6.	Whiting PF, Rutjes AW, Westwood ME, et al. QUADAS-2: a revised tool for the quality assessment of diagnostic accuracy studies. Ann Intern Med, 2011, 155(8): 529-536.
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11.	羅舒文, 陳長水, CHENWei-dong. 基于拉曼光譜和多元統計分析技術的結腸癌早期診斷. 發光學報, 2013, 34(11): 1544-1549.
12.	王靜. 基于膜電泳技術的血清蛋白表面增強拉曼光譜研究. 福州: 福建師范大學, 2014.
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14.	覃業軍. 散發性結直腸癌的β-Catenin基因突變及表達和單細胞拉曼光譜研究. 上海: 復旦大學, 2006.
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17.	Bergholt MS, Zheng W, Lin K, et al. Characterizing variability of in vivo Raman spectroscopic properties of different anatomical sites of normal colorectal tissue towards cancer diagnosis at colonoscopy. Anal Chem, 2015, 87(2): 960-966.
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20.	Lopes PC, Moreira JA, Almeida A, et al. Discriminating adenocarcinoma from normal colonic mucosa through deconvolution of Raman spectra. J Biomed Opt, 2011, 16(12): 127001.
21.	Li P, Chen C, Deng X, et al. Drop coating deposition Raman spectroscopy of blood plasma for the detection of colorectal cancer. J Biomed Opt, 2015, 20(3): 037004.
22.	Lin D, Huang H, Qiu S, et al. Diagnostic potential of polarized surface enhanced Raman spectroscopy technology for colorectal cancer detection. Opt Express, 2016, 24(3): 2222-2234.
23.	Wood JJ, Kendall C, Hutchings J, et al. Evaluation of a confocal Raman probe for pathological diagnosis during colonoscopy. Colorectal Dis, 2014, 16(9): 732-738.
24.	Chen Y, Chen G, Feng S, et al. Label-free serum ribonucleic acid analysis for colorectal cancer detection by surface-enhanced Raman spectroscopy and multivariate analysis. J Biomed Opt, 2012, 17(6): 067003.
25.	Feng S, Wang W, Tai IT, et al. Label-free surface-enhanced Raman spectroscopy for detection of colorectal cancer and precursor lesions using blood plasma. Biomed Opt Express, 2015, 6(9): 3494-3502.
26.	Ashok PC, Praveen BB, Bellini N, et al. Multi-modal approach using Raman spectroscopy and optical coherence tomography for the discrimination of colonic adenocarcinoma from normal colon. Biomed Opt Express, 2013, 4(10): 2179-2186.
27.	Petersen D, Naveed P, Ragheb A, et al. Raman fiber-optical method for colon cancer detection: Cross-validation and outlier identification approach. Spectrochim Acta A Mol Biomol Spectrosc, 2017, 181: 270-275.
28.	歐陽歡. 利用拉曼光譜技術快速診斷胃癌的Meta分析. 合肥: 安徽醫科大學, 2016.
29.	趙倩妤. 拉曼光譜在癌癥組織學診斷中的研究進展. 實用腫瘤學雜志, 2018, 32(1): 92-96.
30.	Leon-Sarmiento FE, Rizzo-Sierra CV, Leon-Ariza JS, et al. A new neurometric dissection of the area-under-curve-associated jiggle of the motor evoked potential induced by transcranial magnetic stimulation. Physiol Behav, 2015, 141: 111-119.
31.	Glas AS, Lijmer JG, Prins MH, et al. The diagnostic odds ratio: a single indicator of test performance. J Clin Epidemiol, 2003, 56(11): 1129-1135.
32.	Hillis SL. Equivalence of binormal likelihood-ratio and bi-chi-squared ROC curve models. Stat Med, 2016, 35(12): 2031-2057.

1. Depciuch J, Kl?bowski B, Stec M, et al. Similarities in the general chemical composition of colon cancer cells and their microvesicles investigated by spectroscopic methods-potential clinical relevance. Int J Mol Sci, 2020, 21(5): 1826.
2. Rembacken B, Hassan C, Riemann JF, et al. Quality in screening colonoscopy: position statement of the European Society of Gastrointestinal Endoscopy (ESGE). Endoscopy, 2012, 44(10): 957-968.
3. 李夢雅, 夏珂, 和海妍, 等. 拉曼光譜技術在檢驗醫學中的研究進展及應用. 中華檢驗醫學雜志, 2021, 44(1): 70-74.
4. Ito H, Uragami N, Miyazaki T, et al. Highly accurate colorectal cancer prediction model based on Raman spectroscopy using patient serum. World J Gastrointest Oncol, 2020, 12(11): 1311-1324.
5. Liu W, Wang H, Du J, et al. Raman microspectroscopy of nucleus and cytoplasm for human colon cancer diagnosis. Biosens Bioelectron, 2017, 97: 70-74.
6. Whiting PF, Rutjes AW, Westwood ME, et al. QUADAS-2: a revised tool for the quality assessment of diagnostic accuracy studies. Ann Intern Med, 2011, 155(8): 529-536.
7. 熊洋, 張德清, 高飛, 等. NIR-SERS技術結合統計分析結直腸癌氧合血紅蛋白. 激光生物學報, 2016, 25(1): 33-40.
8. 劉燕玲. 表面增強拉曼光譜在胃腸道腫瘤血清檢測中的應用研究. 廣州: 南方醫科大學, 2018.
9. 鄒皇軍. 共聚焦拉曼光譜技術對結直腸癌的診斷價值. 廣州: 南方醫科大學, 2019.
10. 林筱茜. 基于表面增強拉曼光譜技術的結腸癌和胃癌患者血液研究. 福州: 福建師范大學, 2013.
11. 羅舒文, 陳長水, CHENWei-dong. 基于拉曼光譜和多元統計分析技術的結腸癌早期診斷. 發光學報, 2013, 34(11): 1544-1549.
12. 王靜. 基于膜電泳技術的血清蛋白表面增強拉曼光譜研究. 福州: 福建師范大學, 2014.
13. 林多. 結直腸癌患者血液表面增強拉曼光譜研究. 福州: 福建師范大學, 2012.
14. 覃業軍. 散發性結直腸癌的β-Catenin基因突變及表達和單細胞拉曼光譜研究. 上海: 復旦大學, 2006.
15. 徐朝賢. 消化系統癌癥患者血清蛋白表面增強拉曼光譜研究. 福州: 福建師范大學, 2016.
16. 李曉, 楊天月. 正常人和結直腸癌患者血清的拉曼光譜探測與區別. 光散射學報, 2011, 23(2): 138-141.
17. Bergholt MS, Zheng W, Lin K, et al. Characterizing variability of in vivo Raman spectroscopic properties of different anatomical sites of normal colorectal tissue towards cancer diagnosis at colonoscopy. Anal Chem, 2015, 87(2): 960-966.
18. Widjaja E, Zheng W, Huang Z. Classification of colonic tissues using near-infrared Raman spectroscopy and support vector machines. Int J Oncol, 2008, 32(3): 653-662.
19. Molckovsky A, Song LM, Shim MG, et al. Diagnostic potential of near-infrared Raman spectroscopy in the colon: differentiating adenomatous from hyperplastic polyps. Gastrointest Endosc, 2003, 57(3): 396-402.
20. Lopes PC, Moreira JA, Almeida A, et al. Discriminating adenocarcinoma from normal colonic mucosa through deconvolution of Raman spectra. J Biomed Opt, 2011, 16(12): 127001.
21. Li P, Chen C, Deng X, et al. Drop coating deposition Raman spectroscopy of blood plasma for the detection of colorectal cancer. J Biomed Opt, 2015, 20(3): 037004.
22. Lin D, Huang H, Qiu S, et al. Diagnostic potential of polarized surface enhanced Raman spectroscopy technology for colorectal cancer detection. Opt Express, 2016, 24(3): 2222-2234.
23. Wood JJ, Kendall C, Hutchings J, et al. Evaluation of a confocal Raman probe for pathological diagnosis during colonoscopy. Colorectal Dis, 2014, 16(9): 732-738.
24. Chen Y, Chen G, Feng S, et al. Label-free serum ribonucleic acid analysis for colorectal cancer detection by surface-enhanced Raman spectroscopy and multivariate analysis. J Biomed Opt, 2012, 17(6): 067003.
25. Feng S, Wang W, Tai IT, et al. Label-free surface-enhanced Raman spectroscopy for detection of colorectal cancer and precursor lesions using blood plasma. Biomed Opt Express, 2015, 6(9): 3494-3502.
26. Ashok PC, Praveen BB, Bellini N, et al. Multi-modal approach using Raman spectroscopy and optical coherence tomography for the discrimination of colonic adenocarcinoma from normal colon. Biomed Opt Express, 2013, 4(10): 2179-2186.
27. Petersen D, Naveed P, Ragheb A, et al. Raman fiber-optical method for colon cancer detection: Cross-validation and outlier identification approach. Spectrochim Acta A Mol Biomol Spectrosc, 2017, 181: 270-275.
28. 歐陽歡. 利用拉曼光譜技術快速診斷胃癌的Meta分析. 合肥: 安徽醫科大學, 2016.
29. 趙倩妤. 拉曼光譜在癌癥組織學診斷中的研究進展. 實用腫瘤學雜志, 2018, 32(1): 92-96.
30. Leon-Sarmiento FE, Rizzo-Sierra CV, Leon-Ariza JS, et al. A new neurometric dissection of the area-under-curve-associated jiggle of the motor evoked potential induced by transcranial magnetic stimulation. Physiol Behav, 2015, 141: 111-119.
31. Glas AS, Lijmer JG, Prins MH, et al. The diagnostic odds ratio: a single indicator of test performance. J Clin Epidemiol, 2003, 56(11): 1129-1135.
32. Hillis SL. Equivalence of binormal likelihood-ratio and bi-chi-squared ROC curve models. Stat Med, 2016, 35(12): 2031-2057.

Chinese Journal of Evidence-Based Medicine

Accuracy of Raman spectroscopy in the assisted diagnosis of colon cancer: a meta-analysis

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