Diagnostic accuracy of Vibrational spectroscopy in the diagnosis of oral potentially malignant and malignant disorders: A systematic review and meta-analysis

被引:0
作者
Shrivastava, Priyanshu Kumar [1 ]
Kumar, Ansul [2 ]
Aggarwal, Yogendra [3 ]
Kumar, Amit [4 ]
Agrawal, Anushka [3 ]
Rai, Arpita [5 ]
机构
[1] Jamia Millia Islamia, Fac Dent, New Delhi, India
[2] Rajendra Inst Med Sci, CTVS, Ranchi, Jharkhand, India
[3] Birla Inst Technol, Dept Bioengn & Biotechnol, Mesra, Jharkhand, India
[4] Rajendra Inst Med Sci, Ranchi, Jharkhand, India
[5] Rajendra Inst Med Sci, Dent Inst, Dept Oral Med & Radiol, Ranchi 834009, Jharkhand, India
关键词
Fourier-transform infrared spectroscopy; oral cancer; oral potentially malignant disorders; Raman spectroscopy; vibrational spectroscopy; TRANSFORM-INFRARED-SPECTROSCOPY; RAMAN-SPECTROSCOPY; CARCINOMA;
D O I
10.4103/jcrt.jcrt_2275_21
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Oral malignant and potentially malignant conditions affect several people worldwide each year. The early diagnoses of these conditions play an important role in prevention and recovery. Vibrational spectroscopy techniques such as Raman spectroscopy (RS) and Fourier-transform infrared (FTIR) spectroscopy are used in the early, non-invasive, label-free diagnosis of malignant and pre-malignant conditions, and are areas of active research. However, there is no conclusive evidence suggesting the translatability of these methods into clinical practice. This systematic review and meta-analysis presents pooled evidence for RS and FTIR methods in the detection of malignant and potentially malignant conditions of the oral cavity. Electronic databases were searched for published literature on RS and FTIR in the diagnosis of oral malignant and potentially malignant conditions. The pooled sensitivity, specificity, diagnostic accuracy, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), pre-test, and post-test probability were then calculated using the random-effects model. A subgroup analysis was conducted separately for RS and FTIR methods. A total of 12 studies were included (8 of RS; 4 of FTIR) as per the eligibility criteria. The pooled sensitivity and specificity of the vibrational spectroscopy methods were calculated to be 0.99 (95% confidence interval [CI]: 0.90, 1.00) and 0.94 (95% CI: 0.85, 0.98), respectively. The area under the curve (AUC) for the summary receiving operator characteristic curve was found to be 0.99 (0.98-1.00). Therefore, the results obtained in this study suggest that the RS and FTIR methods offer great potential to be used in the early diagnosis of oral malignant and pre-malignant conditions.
引用
收藏
页码:151 / 158
页数:8
相关论文
共 26 条
  • [1] Emerging insights into head and neck cancer metastasis
    Allen, Clint T.
    Law, Jonathan H.
    Dunn, Gavin P.
    Uppaluri, Ravindra
    [J]. HEAD AND NECK-JOURNAL FOR THE SCIENCES AND SPECIALTIES OF THE HEAD AND NECK, 2013, 35 (11): : 1669 - 1678
  • [2] Fourier-transform-infrared-spectroscopy based spectral-biomarker selection towards optimum diagnostic differentiation of oral leukoplakia and cancer
    Banerjee, Satarupa
    Pal, Mousumi
    Chakrabarty, Jitamanyu
    Petibois, Cyril
    Paul, Ranjan Rashmi
    Giri, Amita
    Chatterjee, Jyotirmoy
    [J]. ANALYTICAL AND BIOANALYTICAL CHEMISTRY, 2015, 407 (26) : 7935 - 7943
  • [3] Using Raman spectroscopy to characterize biological materials
    Butler, Holly J.
    Ashton, Lorna
    Bird, Benjamin
    Cinque, Gianfelice
    Curtis, Kelly
    Dorney, Jennifer
    Esmonde-White, Karen
    Fullwood, Nigel J.
    Gardner, Benjamin
    Martin-Hirsch, Pierre L.
    Walsh, Michael J.
    McAinsh, Martin R.
    Stone, Nicholas
    Martin, Francis L.
    [J]. NATURE PROTOCOLS, 2016, 11 (04) : 664 - 687
  • [4] Development and validation of Raman spectroscopic classification models to discriminate tongue squamous cell carcinoma from non-tumorous tissue
    Cals, Froukje L. J.
    Koljenovic, Senada
    Hardillo, Jose A.
    de Jong, Robert J. Baatenburg
    Schut, Tom C. Bakker
    Puppels, Gerwin J.
    [J]. ORAL ONCOLOGY, 2016, 60 : 41 - 47
  • [5] cancer, Oral and oropharyngeal cancer: Statistics
  • [6] Optical diagnosis of actinic cheilitis by infrared spectroscopy
    das Chagas e Silva de Carvalho, Luis Felipe
    Pereira, Thiago Martini
    Magrini, Taciana Depra
    Rodrigues Cavalcante, Ana Sueli
    Martinho, Herculano da Silva
    Almeida, Janete Dias
    [J]. PHOTODIAGNOSIS AND PHOTODYNAMIC THERAPY, 2016, 16 : 27 - 34
  • [7] Advantages and limitations of Raman spectroscopy for molecular diagnostics: an update
    Eberhardt, Katharina
    Stiebing, Clara
    Matthaeus, Christian
    Schmitt, Michael
    Popp, Juergen
    [J]. EXPERT REVIEW OF MOLECULAR DIAGNOSTICS, 2015, 15 (06) : 773 - 787
  • [8] Equivalence of binormal likelihood-ratio and bi-chi-squared ROC curve models
    Hillis, Stephen L.
    [J]. STATISTICS IN MEDICINE, 2016, 35 (12) : 2031 - 2057
  • [9] Novel Quantitative Analysis Using Optical Imaging (VELscope) and Spectroscopy (Raman) Techniques for Oral Cancer Detection
    Jeng, Ming-Jer
    Sharma, Mukta
    Sharma, Lokesh
    Huang, Shiang-Fu
    Chang, Liann-Be
    Wu, Shih-Lin
    Chow, Lee
    [J]. CANCERS, 2020, 12 (11) : 1 - 14
  • [10] OBSERVER VARIABILITY IN THE HISTOLOGIC ASSESSMENT OF ORAL PREMALIGNANT LESIONS
    KARABULUT, A
    REIBEL, J
    THERKILDSEN, MH
    PRAETORIUS, F
    NIELSEN, HW
    DABELSTEEN, E
    [J]. JOURNAL OF ORAL PATHOLOGY & MEDICINE, 1995, 24 (05) : 198 - 200