Investigation of the potential of Raman spectroscopy for oral cancer detection in surgical margins

被引:68
作者
Cals, Froukje L. J. [1 ,2 ]
Schut, Tom C. Bakker [2 ,3 ]
Hardillo, Jose A. [1 ]
de Jong, Robert J. Baatenburg [1 ]
Koljenovic, Senada [4 ]
Puppels, Gerwin J. [2 ,3 ]
机构
[1] Univ Med Ctr Rotterdam, Erasmus MC, Dept Otorhinolaryngol Head & Neck Surg, NL-3000 CA Rotterdam, Netherlands
[2] Univ Med Ctr Rotterdam, Erasmus MC, Ctr Opt Diagnost & Therapy CODT, NL-3000 CA Rotterdam, Netherlands
[3] Univ Med Ctr Rotterdam, Erasmus MC, Dept Dermatol, NL-3000 CA Rotterdam, Netherlands
[4] Univ Med Ctr Rotterdam, Erasmus MC, Dept Pathol, NL-3000 CA Rotterdam, Netherlands
关键词
OPTICAL COHERENCE TOMOGRAPHY; SQUAMOUS-CELL CARCINOMA; HEAD; DISCRIMINATION; DIAGNOSIS; TISSUE;
D O I
10.1038/labinvest.2015.85
中图分类号
R-3 [医学研究方法]; R3 [基础医学];
学科分类号
1001 ;
摘要
The poor prognosis of oral cavity squamous cell carcinoma (OCSCC) patients is associated with residual tumor after surgery. Raman spectroscopy has the potential to provide an objective intra-operative evaluation of the surgical margins. Our aim was to understand the discriminatory basis of Raman spectroscopy at a histological level. In total, 127 pseudo-color Raman images were generated from unstained thin tissue sections of 25 samples (11 OCSCC and 14 healthy) of 10 patients. These images were clearly linked to the histopathological evaluation of the same sections after hematoxylin and eosin-staining. In this way, Raman spectra were annotated as OCSCC or as a surrounding healthy tissue structure (i.e., squamous epithelium, connective tissue (CT), adipose tissue, muscle, gland, or nerve). These annotated spectra were used as input for linear discriminant analysis (LDA) models to discriminate between OCSCC spectra and healthy tissue spectra. A database was acquired with 88 spectra of OCSCC and 632 spectra of healthy tissue. The LDA models could distinguish OCSCC spectra from the spectra of adipose tissue, nerve, muscle, gland, CT, and squamous epithelium in 100%, 100%, 97%, 94%, 93%, and 75% of the cases, respectively. More specifically, the structures that were most often confused with OCSCC were dysplastic epithelium, basal layers of epithelium, inflammation- and capillary-rich CT, and connective and glandular tissue close to OCSCC. Our study shows how well Raman spectroscopy enables discrimination between OCSCC and surrounding healthy tissue structures. This knowledge supports the development of robust and reliable classification algorithms for future implementation of Raman spectroscopy in clinical practice.
引用
收藏
页码:1186 / 1196
页数:11
相关论文
共 50 条
[31]   Impact of microsatellite alteration in surgical margins on local recurrence in oral cavity cancer patients [J].
Lin, Jin-Ching ;
Wang, Chen-Chi ;
Jiang, Rong-San ;
Wang, Wen-Yi ;
Liu, Shih-An .
EUROPEAN ARCHIVES OF OTO-RHINO-LARYNGOLOGY, 2017, 274 (01) :431-439
[32]   Risk Classification of Oral Cancer Surgical Margins: Margin to Depth of Invasion Ratio Analysis [J].
Hung, Chun-Yang ;
Liao, Li-Jen ;
Cheng, Yu-Ping ;
Hsu, Wan-Lun ;
Chiang, Chun-Ju ;
Chang, Chun-Wei ;
Lee, Wen-Chung ;
Wang, Cheng-Ping ;
Lou, Pei-Jen ;
Chang, Yih-Leong ;
Chen, Tseng-Cheng .
ANNALS OF SURGICAL ONCOLOGY, 2025, 32 (07) :5230-5242
[33]   Surgical Margins and Primary Site Resection in Achieving Local Control in Oral Cancer Resections [J].
Varvares, Mark A. ;
Poti, Shannon ;
Kenyon, Bianca ;
Christopher, Kara ;
Walker, Ronald J. .
LARYNGOSCOPE, 2015, 125 (10) :2298-2307
[34]   Serum Raman spectroscopy: Prognostic applications in oral cancers [J].
Saha, Panchali ;
Sawant, Sharada ;
Deshmukh, Atul ;
Hole, Arti ;
Murali Krishna, C. .
HEAD AND NECK-JOURNAL FOR THE SCIENCES AND SPECIALTIES OF THE HEAD AND NECK, 2023, 45 (05) :1244-1254
[35]   Raman spectroscopy in oral cavity and oropharyngeal cancer: a systematic review br [J].
Faur, C. I. ;
Falamas, A. ;
Chirila, M. ;
Roman, R. C. ;
Rotaru, H. ;
Moldovan, M. A. ;
Albu, S. ;
Baciut, M. ;
Robu, I. ;
Hedesiu, M. .
INTERNATIONAL JOURNAL OF ORAL AND MAXILLOFACIAL SURGERY, 2022, 51 (11) :1373-1381
[36]   A Novel Surface Enhanced Raman Catheter for Rapid Detection, Classification, and Grading of Oral Cancer [J].
Madathil, Girish Chundayil ;
Iyer, Subramania ;
Thankappan, Krishnakumar ;
Gowd, G. Siddaramana ;
Nair, Shantikumar ;
Koyakutty, Manzoor .
ADVANCED HEALTHCARE MATERIALS, 2019, 8 (13)
[37]   Raman spectroscopy in head and neck cancer [J].
Harris, Andrew T. ;
Rennie, Andrew ;
Waqar-Uddin, Haroon ;
Wheatley, Sarah R. ;
Ghosh, Samit K. ;
Martin-Hirsch, Dominic P. ;
Fisher, Sheila E. ;
High, Alec S. ;
Kirkham, Jennifer ;
Upile, Tahwinder .
HEAD & NECK ONCOLOGY, 2010, 2
[38]   Raman spectroscopy as a promising noninvasive tool in brain cancer detection [J].
Kumar, Piyush .
JOURNAL OF INNOVATIVE OPTICAL HEALTH SCIENCES, 2017, 10 (05)
[39]   Raman Spectroscopy of Experimental Oral Carcinogenesis: Study on Sequential Cancer Progression in Hamster Buccal Pouch Model [J].
Kumar, Piyush ;
Bhattacharjee, Tanmoy ;
Ingle, Arvind ;
Maru, Girish ;
Krishna, C. Murali .
TECHNOLOGY IN CANCER RESEARCH & TREATMENT, 2016, 15 (05) :NP60-NP72
[40]   Preliminary Study of Canine Oral Cancer by Raman Spectroscopy [J].
Hole, Arti ;
Bhujbal, Mithila ;
Bendale, Kiran ;
Kumar, Piyush ;
Gera, Poonam ;
Krishna, C. Murali ;
Chaudhari, Pradeep .
OPTICS AND BIOPHOTONICS IN LOW-RESOURCE SETTINGS V, 2019, 10869