Initial CT findings in early tongue and oral floor cancer as predictors of late neck metastasis

Furusawa, Jun; Suzuki, Fumiyuki; Homma, Akihiro; Furuta, Yasushi; Fukuda, Satoshi

doi:10.1016/j.oraloncology.2007.10.004

Cited by 8 publications

(2 citation statements)

References 29 publications

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“…In line with other authors, there is an obvious need for more reliable imaging parameters that would diminish the risk of occult neck metastasis. 30 It is well established in the literature that clinical examination alone is not able to correctly identify cervical metastatic lymph nodes. 31,32 In the present study, clinical evaluation yielded more negative necks than both CECT and MRI.…”

Section: Discussionmentioning

confidence: 99%

Contrast-enhanced CT and MRI for detecting neck metastasis of oral cancer: comparison between analyses performed by oral and medical radiologists

Figueiredo

Leite²,

Barra³

et al. 2012

Dentomaxillofacial Radiology

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Objectives: The aim of the study was to verify the concordance of contrast-enhanced CT (CECT) and MRI evaluation among four radiologists in detecting metastatic cervical lymph nodes of oral cancer patients. Methods: Ten patients underwent clinical and imaging examinations (CECT and MRI). Four radiologists, two oral and maxillofacial radiologists (OMRs) and two medical radiologists (MRs), independently analysed the images twice. Cohen's kappa index and Wilcoxon signed-rank test were used to verify the concordance between all analyses. Results: Regarding the interobserver agreement, the OMRs presented excellent kappa values for determining the regional lymph nodes (N-stage) in both CECT and MRI. The MRs presented moderate agreement for CECT evaluation at the first reading, but no concordance was found for the other analyses. When each imaging modality was analysed separately, kappa values were higher between all examiners. Greater variability was demonstrated between Nstage evaluation using different examinations. All radiologists were able to identify a greater number of metastatic lymph nodes in CECT than in MRI, except one MR, but no significant difference was found for all readers. The differences between the number of metastatic lymph nodes among all radiologists were not statistically significant. Moderate intraobserver agreement was observed for CECT and MRI evaluation, except for one MR. Conclusions: The differences found between the N-stage performed by OMRs and MRs support the necessity of a multidisciplinary approach in the imaging evaluation of metastatic nodes. Further studies are necessary to confirm which imaging modality should be employed when evaluating neck areas.

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Section: Discussionmentioning

confidence: 99%

Contrast-enhanced CT and MRI for detecting neck metastasis of oral cancer: comparison between analyses performed by oral and medical radiologists

Figueiredo

Leite²,

Barra³

et al. 2012

Dentomaxillofacial Radiology

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show abstract

“…With the rapid development of new and existing imaging modalities, several clinical and biomedical imaging techniques focusing on detecting and assessing tongue cancer have been reported, such as narrowband imaging (NBI), 5,6°u orescence spectroscopy, 7,8 optical coherence tomography (OCT), 9,10 computed tomography (CT) 11,12 and magnetic resonance image (MRI).…”

Section: Introductionmentioning

confidence: 99%

Co-registered photoacoustic and ultrasound imaging for tongue cancer detection

Guo

et al. 2018

J. Innov. Opt. Health Sci.

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Tongue cancer is an increasingly common disease with high morbidity. Besides clinical observation, biomedical imaging techniques have been investigated for early detection of tongue cancer. In this paper, we proposed a co-registered dual-modality photoacoustic (PA) and ultrasound imaging technique to simultaneously map the functional and structural information of human tongue, which has the potential to detect and diagnose tongue cancer in early stage. The imaging probe comprises a 20-MHz side-view focused transducer for ultrasound imaging and PA detection, a light path constructed by a multimode optical¯ber, and a prism for PA illumination. Phantom experiments were conducted to evaluate the performance of the system including penetration depth, spatial resolution and signal-to-noise ratio. In vivo imaging of animal tumor and human tongue was carried out to show the feasibility of the proposed technique to detect tumor lesions in human tongue. The results of phantom and in vivo experiments suggest that the proposed technique has the potential to detect the early-stage cancer lesions in human tongue.

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A preliminary application of intraoral Doppler ultrasound images to deep learning techniques for predicting late cervical lymph node metastasis in early tongue cancers

Ariji

Fukuda

Kise

et al. 2019

Oral Science International

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AimsVarious factors, including depth of invasion (DOI) and hemodynamics have been linked with the prediction of late cervical lymph nodes metastasis in patients with early tongue cancers. The objective of this study was to examine the deep learning performance of the intraoral Doppler ultrasound images for predicting the late cervical metastasis, by comparing DOI.MethodsThirty‐three patients with early squamous cell tongue carcinomas were divided into two groups: 12 with late cervical metastasis, and 21 without metastasis. Intraoral Doppler ultrasound images of all subjects were cropped to 400 × 400 pixel squares, and 80% were used for a training dataset, and 20% were used for a testing dataset. The training dataset was imported into the DIGITS deep learning training system, the learning process for 300 epochs was performed using AlexNet neural network, and the resultant learning model was created. The testing dataset was applied to the model to evaluate the performance for distinguishing between the two groups.ResultsUse of intraoral Doppler ultrasound images for predicting the late cervical metastasis achieved deep learning performances of 0.883 for the area under the ROC curve (AUC), 85.9% for accuracy, and 84.0% for sensitivity. On the other hand, the corresponding performances of DOI were 0.873, 84.8%, and 75.0%, using a DOI threshold of 5.6 mm.ConclusionOur findings suggested that the performance of a deep learning system using intraoral Doppler ultrasound images of early tongue cancers to predict late cervical metastasis was sufficiently high, suggesting possible applications in imaging diagnosis support.

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Initial CT findings in early tongue and oral floor cancer as predictors of late neck metastasis

Abstract: Background. Detecting the risk factors for late neck metastasis (LNM) in early tongue and

Cited by 8 publications

References 29 publications

Contrast-enhanced CT and MRI for detecting neck metastasis of oral cancer: comparison between analyses performed by oral and medical radiologists

Contrast-enhanced CT and MRI for detecting neck metastasis of oral cancer: comparison between analyses performed by oral and medical radiologists

Co-registered photoacoustic and ultrasound imaging for tongue cancer detection

A preliminary application of intraoral Doppler ultrasound images to deep learning techniques for predicting late cervical lymph node metastasis in early tongue cancers

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