Diagnosing oral squamous cell carcinoma: How much imaging do we really need? A review of the current literature

Blatt, Sebastian; Ziebart, Thomas; Krüger, Maximilian; Pabst, Andreas

doi:10.1016/j.jcms.2016.02.003

Cited by 42 publications

(60 citation statements)

References 80 publications

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“…Moreover, oftentimes a biopsy sample is also taken. Other modalities include plain radiography, orthopantomography (OPG), cone beam computed tomography (CBCT), multidetector computed tomography (MDCT), computed tomography perfusion (CTP), diffusion-weighted MRI (DW-MRI), dynamic contrast-enhanced MRI (DCE-MRI), whole body MRI (WB-MRI), ultrasonography (USG), single-photon emission computed tomography (SPECT) as well as hybrid techniques such as ECT/CT, CT/MRI, PET/CT, PET/MRI with radiopharmaceuticals – 2-deoxy-2-[ 18 F]fluoro-D-glucose, ( 18 F-FDG), 18 F-3-fluoro-alpha-methyltyrosine, ( 18 F-FAMT) and L-1-[ 11 C]-tyrosine, (C-TYR) [12,13]. …”

Section: Imaging Methods In Oral Cancermentioning

confidence: 99%

“…Special attention should be given to small lesions with a high degree of differentiation (low malignancy), since contrast enhancement can be scarce (Figure 3A–3C). However, lesions with a low degree of differentiation can be easily distinguished from the surrounding tissues (Figure 4A–4C) [13]. Contrast-enhanced CT can accurately determine lymph node metastases, which can initially look normal despite the presence of micrometastases detected in microscopic studies [17].…”

Section: Imaging Methods In Oral Cancermentioning

confidence: 99%

“…However, the changes seen in serial CT studies can give information regarding the underlying process. The sensitivity and specificity of detecting recurrence and assessing treatment response are 50% and 88% respectively [13,16–18]. …”

Section: Imaging Methods In Oral Cancermentioning

confidence: 99%

“…The sensitivity of CTP in detecting local lymph node metastases is 67% (specificity 53%). Importantly, CTP can distinguish between nonspecific changes after radiation therapy or chemotherapy and local recurrence, which is not possible with CT. Higher values of BF and BV correspond to better responses to chemotherapy and therefore CTP can potentially assess the efficacy of this mode of treatment [13,21,22]. …”

Section: Imaging Methods In Oral Cancermentioning

confidence: 99%

“…MRI is a better modality in comparison to plain radiography and comparable to CBCT and CT – with similar sensitivity and specificity. However, MRI has a higher sensitivity with respect to the assessment of soft tissues (Figure 5A–5C) [12,13,18,23]. …”

Section: Imaging Methods In Oral Cancermentioning

confidence: 99%

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Contemporary Diagnostic Imaging of Oral Squamous Cell Carcinoma – A Review of Literature

et al. 2018

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SummaryOral squamous cell carcinoma (OSCC) is the most common cancer of the oral cavity and constitutes 95% of all cancers of this area. Men are affected twice as commonly as women, primarily if they are over 50 years of age. Forty percent of the lesions are localized in the tongue and 30% in the floor of the oral cavity. OSCC often affects upper and lower gingiva, buccal mucous membrane, the retromolar triangle and the palate. The prognosis is poor and the five-year survival rate ranges from 20% (OSCC in the floor of the mouth) to 60% (OSCC in the alveolar part of the mandible). Treatment is difficult, because of the localization and the invasiveness of the available methods. The diagnosis is made based on a histopathological examination of a biopsy sample.The low detection rate of early oral SCC is a considerable clinical issue. Although the oral cavity can be easily examined, in the majority of cases oral SCC is diagnosed in its late stages. It is difficult to diagnose metastases in local lymph nodes and distant organs, which is important for planning the scope of resection and further treatment, graft implantation, and differentiation between reactive and metastatic lymph nodes as well as between disease recurrence and scars or adverse reactions after surgery or radiation therapy.Imaging studies are performed as part of the routine work-up in oral SCC. However, it is difficult to interpret the results at the early stages of the disease. The following imaging methods are used – dental radiographs, panoramic radiographs, magnetic resonance imaging with diffusion-weighted and dynamic sequences, perfusion computed tomography, cone beam computed tomography, single-photon emission computed tomography, hybrid methods (PET/CT, PET/MRI, SPECT/CT) and ultrasound. Some important clinical problems can be resolved with the use of novel modalities such as MRI with ADC sequences and PET.The aim of this article is to describe oral squamous cell carcinoma as it appears in different imaging methods considering both their advantages and limitations.

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Section: Imaging Methods In Oral Cancermentioning

confidence: 99%

Section: Imaging Methods In Oral Cancermentioning

confidence: 99%

Section: Imaging Methods In Oral Cancermentioning

confidence: 99%

Section: Imaging Methods In Oral Cancermentioning

confidence: 99%

Section: Imaging Methods In Oral Cancermentioning

confidence: 99%

See 3 more Smart Citations

Contemporary Diagnostic Imaging of Oral Squamous Cell Carcinoma – A Review of Literature

et al. 2018

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AHNS Series: Do you know your guidelines? Evidence‐based management of oral cavity cancers

et al. 2017

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Oral cavity squamous cell carcinoma (OCSCC) is the most common nonmelanoma head and neck cancer in the world, with an estimated 405 000 new cases expected each year. Subsites of the oral cavity include the alveolar ridge, buccal mucosa, anterior tongue, tonsillar pillar, retromolar trigone, hard palate, gingiva, and floor of the mouth. In this issue of the AHNS "Do you know your guidelines?" series, we review the evidence-based approach to the management of oral cavity carcinomas based on the framework provided by the National Comprehensive Cancer Network (NCCN) Clinical Practice Guidelines in Oncology.

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Texture analysis of ultrasonography to differentiate metastatic from nonmetastatic cervical lymph nodes in mandibular gingival squamous cell carcinoma

Kawashima,

Abe,

Hagimoto

et al. 2024

Oral Science International

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AimThis study aimed to distinguish between metastatic and nonmetastatic cervical lymph nodes (CLNs) in patients with mandibular gingival squamous cell carcinoma using texture analysis of lymph nodes on ultrasonography images.MethodsA total of 29 metastatic and 34 nonmetastatic CLNs were selected for this study. Fifty‐six texture characteristics were retrieved from the ultrasonography images using the LIFEx software.The Mann–Whitney U test was used to evaluate measurable differences in texture characteristics between metastatic and nonmetastatic CLNs. The ability of the surface features to distinguish between metastatic and nonmetastatic CLNs was illustrated using receiver operating characteristic curves. Youden's J statistic was used to determine the receiver operating characteristic curve cutoff values with maximal sensitivity and specificity.ResultsGray‐level nonuniformity, run length nonuniformity, coarseness, strength, and zone size nonuniformity showed the most notable contrast between the metastatic and nonmetastatic CLNs (p < 0.001). Zone size nonuniformity showed an area under the curve value of 0.827, sensitivity of 0.645, and specificity of 0.972 at the cutoff value of 1010.538.ConclusionQualitative characteristics may be the optimal surface features to distinguish between metastatic and nonmetastatic CLNs and predict CLN metastasis in patients with mandibular gingival squamous cell carcinoma.

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Diagnosing oral squamous cell carcinoma: How much imaging do we really need? A review of the current literature

Cited by 42 publications

References 80 publications

Contemporary Diagnostic Imaging of Oral Squamous Cell Carcinoma – A Review of Literature

Contemporary Diagnostic Imaging of Oral Squamous Cell Carcinoma – A Review of Literature

AHNS Series: Do you know your guidelines? Evidence‐based management of oral cavity cancers

Texture analysis of ultrasonography to differentiate metastatic from nonmetastatic cervical lymph nodes in mandibular gingival squamous cell carcinoma

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