Feature fusion combined with tissue Raman spectroscopy to screen cervical cancer

Yang, Bo; Chen, Cheng; Chen, Fangfang; Ma, Cailing; Chen, Chen; Huiting, Zhang; Gao, Rui; Zhang, Shuailei; Lv, Xiaoyi

doi:10.1002/jrs.6246

Cited by 9 publications

(11 citation statements)

References 27 publications

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“…In 1998, Mahadevan-Jansen et al pioneered the use of Raman spectroscopy for the in vivo diagnosis of cervical cancer using a fibre-optic probe [ 52 ]. Since then, there have been 11 studies from different parts of the globe where researchers have optimized the acquisition time of the Raman spectrum from 90 s to less than one s. [ 52 , 53 , 54 , 55 , 56 , 57 , 58 , 59 , 60 , 61 , 62 ].…”

Section: In Vivo Studies On Cervical Tissuesmentioning

confidence: 99%

“…The research group in Singapore exhibited that the high wavenumber region of in vivo Raman spectra can detect cervical dysplasia [ 58 ]. Another study from the same group illustrates that the concurrent fingerprint and high wavenumber region of Raman spectra has the potential to improve the detection of cervical dysplasia [ 59 ], showing that confocal in vivo Raman spectroscopy has the potential to improve early diagnosis of cervical precancer [ 60 ].…”

Section: In Vivo Studies On Cervical Tissuesmentioning

confidence: 99%

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Raman Spectroscopy for Early Detection of Cervical Cancer, a Global Women’s Health Issue—A Review

Shaikh

Daniel²,

Lyng

2023

Molecules

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This review focuses on recent advances and future perspectives in the use of Raman spectroscopy for cervical cancer, a global women’s health issue. Cervical cancer is the fourth most common women’s cancer in the world, and unfortunately mainly affects younger women. However, when detected at the early precancer stage, it is highly treatable. High-quality cervical screening programmes and the introduction of the human papillomavirus (HPV) vaccine are reducing the incidence of cervical cancer in many countries, but screening is still essential for all women. Current gold standard methods include HPV testing and cytology for screening, followed by colposcopy and histopathology for diagnosis. However, these methods are limited in terms of sensitivity/specificity, cost, and time. New methods are required to aid clinicians in the early detection of cervical precancer. Over the past 20 years, the potential of Raman spectroscopy together with multivariate statistical analysis has been shown for the detection of cervical cancer. This review discusses the research to date on Raman spectroscopic approaches for cervical cancer using exfoliated cells, biofluid samples, and tissue ex vivo and in vivo.

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Section: In Vivo Studies On Cervical Tissuesmentioning

confidence: 99%

Section: In Vivo Studies On Cervical Tissuesmentioning

confidence: 99%

Raman Spectroscopy for Early Detection of Cervical Cancer, a Global Women’s Health Issue—A Review

Shaikh

Daniel²,

Lyng

2023

Molecules

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“…Based on previous studies, the Gaussian radial basis function (RBF) was used in this analysis, and the optimal parameter regularization parameter C and kernel function parameter g were obtained by the exhaustive method, and the diagnostic model was successfully established. [25] The SP, SE, ACC, F1, BACC, and MCC, and AUC of the model were also validated. S1, indicating that the differences in Raman peaks may be related to sugars, proteins, nucleic acids, lipids, and other substances in the serum.…”

Section: Raman Spectroscopy Detection and Analysismentioning

confidence: 99%

Surface‐enhanced Raman spectroscopy and multivariate analysis for the diagnosis of oral squamous cell carcinoma

Wang

Yu²,

et al. 2023

J Raman Spectroscopy

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The incidence of oral squamous cell carcinoma (OSCC) is increasing worldwide year by year, and its prognosis largely depends on early detection. However, it is difficult to make an early and definitive diagnosis of oral cancer patients by conventional oral examination. This study used surface‐enhanced Raman spectroscopy (SERS) technology to achieve an early and noninvasive diagnosis of oral squamous cell carcinoma. Serum samples were collected from 74 patients with OSCC, 15 patients with malignant neoplasm of the salivary gland, and 94 normal subjects. And saliva samples from 25 patients with OSCC, 8 patients with malignant neoplasm of the salivary gland, and 35 normal subjects. High‐quality surface‐enhanced Raman spectra were obtained using silver nanoparticles (Ag NPs) as the enhancement matrix. The differences in the measured Raman spectra revealed differences in the relative concentrations of biomolecules in saliva and serum from oral squamous carcinoma, salivary gland malignancies, and normal subjects. In combination with a support vector machine (SVM) diagnostic model, the cross‐validation method is used to assess model performance in terms of accuracy, sensitivity, specificity, F1‐measure, balanced accuracy, Matthews correlation coefficient, and area under the receiver operating characteristic curve. The accuracy of model identification is above 80% for all serum samples, whereas the detection of saliva samples, although poorer than serum samples, is expected to improve the diagnostic accuracy with increased sample size. The results suggest that body fluid SERS combined with SVM has great potential to diagnose OSCC noninvasively and rapidly.

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“…(d) Spectral differences between cervicitis, LSIL, HSIL, cervical squamous cell carcinoma, and cervical adenocarcinoma. 43 the case of cancer, a basis for considering as cancer biomarkers. 41 Zhang et al, in their study, took formalin-fixed cervical tissue samples collected from patients diagnosed with cervical adenocarcinoma and cervical squamous cell carcinoma.…”

Section: Raman Spectroscopymentioning

confidence: 99%

“…6(d), which was further analyzed and differentiated using linear and non-linear classification models. 43 2.4 Polarization-Sensitive Spectroscopy Mueller matrix polarimeters have been recently studied for their ability to accurately diagnose cancer. The imaging system is highly sensitive and accurate, has high measurement speed, and can perform multicomponent analysis.…”

Section: Raman Spectroscopymentioning

confidence: 99%

Optical imaging for early detection of cervical cancer: state of the art and perspectives

Rahaman,

Anantharaju,

Jeyachandran

et al. 2023

J. Biomed. Opt.

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Cervical cancer is one of the major causes of death in females worldwide. HPV infection is the key cause of uncontrolled cell growth leading to cervical cancer. About 90% of cervical cancer is preventable because of the slow progression of the disease, giving a window of about 10 years for the precancerous lesion to be recognized and treated.Aim: The present challenges for cervical cancer diagnosis are interobserver variation in clinicians' interpretation of visual inspection with acetic acid/visual inspection with Lugol's iodine, cost of cytology-based screening, and lack of skilled clinicians. The optical modalities can assist in qualitatively and quantitatively analyzing the tissue to differentiate between cancerous and surrounding normal tissues.Approach: This work is on the recent advances in optical techniques for cervical cancer diagnosis, which promise to overcome the above-listed challenges faced by present screening techniques. Results:The optical modalities provide substantial measurable information in addition to the conventional colposcopy and Pap smear test to clinically aid the diagnosis.Conclusions: Recent optical modalities on fluorescence, multispectral imaging, polarization-sensitive imaging, microendoscopy, Raman spectroscopy, especially with the portable design and assisted by artificial intelligence, have a significant scope in the diagnosis of premalignant cervical cancer in future.

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Feature fusion combined with tissue Raman spectroscopy to screen cervical cancer

Cited by 9 publications

References 27 publications

Raman Spectroscopy for Early Detection of Cervical Cancer, a Global Women’s Health Issue—A Review

Raman Spectroscopy for Early Detection of Cervical Cancer, a Global Women’s Health Issue—A Review

Surface‐enhanced Raman spectroscopy and multivariate analysis for the diagnosis of oral squamous cell carcinoma

Optical imaging for early detection of cervical cancer: state of the art and perspectives

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