In vivo Raman spectroscopy–assisted early identification of potential second primary/recurrences in oral cancers: An exploratory study

Malik, Akshat; Sahu, Aditi; Singh, Seema; Deshmukh, Atul; Chaturvedi, Pankaj; Nair, Deepa; Nair, Sudhir; Krishna, C. Murali

doi:10.1002/hed.24884

Cited by 33 publications

(23 citation statements)

References 39 publications

(111 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…RS has also demonstrated high sensitivity to detect small cancerous foci in control and contralateral mucosa of hamsters in experimental carcinogenesis studies through spectral misclassifications . The clinical significance of contralateral normal misclassifications with tumor in predicting recurrences in oral cancer patients in vivo was recently demonstrated by Malik et al . In the present study, we have investigated the feasibility of detecting recurrences through Raman exfoliative cytology, after successfully differentiating normal, premalignant and malignant cells .…”

Section: Introductionmentioning

confidence: 81%

Raman exfoliative cytology for prognosis prediction in oral cancers: A proof of concept study

Sahu

Gera

Malik

et al. 2019

Journal of Biophotonics

Self Cite

View full text Add to dashboard Cite

Oral cancer is associated with high rates of recurrence, attributable to field cancerization. Early detection of advanced field changes that can potentially progress to carcinoma can facilitate timely intervention and can lead to improved prognosis. Previous in vivo studies have successfully detected advanced field effects in oral cancers. Raman exfoliative cytology has previously shown to differentiate normal, oral precancer and cancers. The present study explores Raman-exfoliative-cytology-based detection of field effects. Exfoliated cells were collected from tumor (n = 16) and contralateral-normal appearing mucosa (n = 16) of oral cancer patients, and healthy tobacco habitués (n = 20). After spectral acquisition, specimens were Papstained for cytological evaluation. Data analysis, by Principal Component Analysis and Principal Component-Linear Discriminant Analysis, indicate several spectralmisclassifications between contralateral normal and tumor, which were investigated and correlated with spectral, cytological and clinical outcomes. A qualitative analysis by grouping patients with number of misclassifications with tumor (Group 1: 0, Group 2: 1 and Group 3: >1) was explored. Group 3 with highest misclassifications showed spectral and cytological similarity to tumor groupone patient was a case of early inoperable residual disease, despite clear margins on histopathology.Thus, these misclassifications could be indicative of cancer field changes, and can prospectively help to identify patients susceptible to recurrences. K E Y W O R D Sfield cancerization, oral cancers, pap staining, Raman exfoliative cytology, Raman spectroscopy

show abstract

Section: Introductionmentioning

confidence: 81%

Raman exfoliative cytology for prognosis prediction in oral cancers: A proof of concept study

Sahu

Gera

Malik

et al. 2019

Journal of Biophotonics

Self Cite

View full text Add to dashboard Cite

show abstract

“…Furthermore, Malik et al studied the performance of RS in predicting recurrence. [70] In addition, although the data analysis for RS is relatively complicated, the time required for training is short. However, we acknowledge that this study has some limitations.…”

Section: Discussionmentioning

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

View full text Add to dashboard Cite

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.

show abstract

“…Malik, 2017, India [91] In vivo Raman Tumour and contralateral normal mucosa in 99 patients with oral cancer [In vivo]…”

Section: Head and Neck Cancermentioning

confidence: 99%

Clinical applications of infrared and Raman spectroscopy in the fields of cancer and infectious diseases

Paraskevaidi

Baker²,

Butler

et al. 2021

Applied Spectroscopy Reviews

View full text Add to dashboard Cite

Analytical technologies that can improve disease diagnosis are highly sought after. Current screening/diagnostic tests for several diseases are limited by their moderate diagnostic performance, invasiveness, costly and laborious methodologies or the need for multiple tests before a definitive diagnosis. Spectroscopic techniques, including infrared (IR) and Raman, have attracted great interest in the medical field, with applications expanding from early disease detection to monitoring and real-time diagnosis. This review highlights applications of IR and Raman spectroscopy, with a focus on cancer and infectious diseases since 2015, and underscores the diverse sample types that can be analyzed, such as biofluids, cells and tissues. Studies involving more than 25 participants per group (disease and control group; if no control group >25 in disease group) were considered eligible, to retain the clinical focus of the paper. Following literature searches, we identified 94 spectroscopic studies on different cancers and 30 studies on infectious diseases. The review KEYWORDS

show abstract

In vivo Raman spectroscopy–assisted early identification of potential second primary/recurrences in oral cancers: An exploratory study

Cited by 33 publications

References 39 publications

Raman exfoliative cytology for prognosis prediction in oral cancers: A proof of concept study

Raman exfoliative cytology for prognosis prediction in oral cancers: A proof of concept study

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

Clinical applications of infrared and Raman spectroscopy in the fields of cancer and infectious diseases

Contact Info

Product

Resources

About