DentaScan as an Accurate Method of Predicting Mandibular Invasion in Patients With Squamous Cell Carcinoma of the Oral Cavity

Brockenbrough, John; Petruzzelli, Guy J.; Lomasney, Laurie M

doi:10.1001/archotol.129.1.113

Cited by 51 publications

(33 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…6e8, 11 Mukherji et al 11 reported a sensitivity of 96%, specificity of 87%, and NPV of 95% for mandibular erosion in oral cavity SCCs using 3 mm sections on a conventional non-helical scanner with bone and soft-tissue algorithms. Brockenbrough et al 12 using DentaScan in oral cavity SCC reported a sensitivity of 95%.…”

Section: Discussionmentioning

confidence: 99%

“…21 Vidiri et al 20 analysed bone algorithms with axial images, but multiplanar reformats were not employed. Brockenbrough et al 12 in their study using DentaScan acquired only bone algorithm images without soft-tissue windows or contrast medium injection, and reported a specificity of 79%. Imaizumi et al 19 used both bone and soft-tissue algorithms along with dental CT images (DentaScan), which yielded a higher specificity (88%).…”

Section: Ct Techniquementioning

confidence: 99%

“…This skill is easily acquired and is valuable for evaluating the curved mandible. Brokenbrough et al 12 reported problems with DentaScan while viewing highly curved areas and in distinguishing cortical irregularities and true tumour invasion. The reformations on 16 section or higher-section MDCT can be generated interactively in any plane to study the region of interest.…”

Section: Ct Techniquementioning

confidence: 99%

See 2 more Smart Citations

Retromolar trigone squamous cell cancers: A reappraisal of 16 section MDCT for assessing mandibular invasion

et al. 2013

View full text Add to dashboard Cite

Section: Discussionmentioning

confidence: 99%

Section: Ct Techniquementioning

confidence: 99%

Section: Ct Techniquementioning

confidence: 99%

See 1 more Smart Citation

Retromolar trigone squamous cell cancers: A reappraisal of 16 section MDCT for assessing mandibular invasion

et al. 2013

View full text Add to dashboard Cite

“…6 For this reason, clinical examination must be complemented by radiological examination 7 for the assessment of size, thickness and depth of the tumour 8 as well as the degree of bone tissue invasion. [9][10][11] This bone tissue invasion detection, cortical or medullary, is indicative of a T4 tumour stage. 12 At this stage, the 5 year survival rate is close to 50%, whether treatment is surgical resection (47% survival) 13 or chemotherapy (56% survival).…”

Section: Introductionmentioning

confidence: 99%

Accuracy of imaging methods for detection of bone tissue invasion in patients with oral squamous cell carcinoma

Uribe

Rojas²,

Rosas³

2013

Dentomaxillofacial Radiology

View full text Add to dashboard Cite

The objective of this review is to evaluate the diagnostic accuracy of imaging methods for detection of mandibular bone tissue invasion by squamous cell carcinoma (SCC). A systematic review was carried out of studies in MEDLINE, SciELO and ScienceDirect, published between 1960 and, in English, Spanish or German, which compared detection of mandibular bone tissue invasion via different imaging tests against a histopathology reference standard. Sensitivity and specificity data were extracted from each study. The outcome measure was diagnostic accuracy. We found 338 articles, of which 5 fulfilled the inclusion criteria. Tests included were: CT (four articles), MRI (four articles), panoramic radiography (one article), positron emission tomography (PET)/CT (one article) and cone beam CT (CBCT) (one article). The quality of articles was low to moderate and the evidence showed that all tests have a high diagnostic accuracy for detection of mandibular bone tissue invasion by SCC, with sensitivity values of 94% (MRI), 91% (CBCT), 83% (CT) and 55% (panoramic radiography), and specificity values of 100% (CT, MRI, CBCT), 97% (PET/CT) and 91.7% (panoramic radiography). Available evidence is scarce and of only low to moderate quality. However, it is consistently shown that current imaging methods give a moderate to high diagnostic accuracy for the detection of mandibular bone tissue invasion by SCC. Recommendations are given for improving the quality of future reports, in particular provision of a detailed description of the patients' conditions, the imaging instrument and both imaging and histopathological invasion criteria.

show abstract

“…Tumour infi ltration to the mandible is demonstrated as the loss of normal low signal intensity from the cortical bone 5 . MDCT scans with Denta scan may offer an excellent technique for the evaluation of bone erosion from tumour 19 . However, studies reported variations in the diagnostic accuracy of MDCT and MRI in detecting mandibular invasion 7,20,21 .…”

Section: Discussionmentioning

confidence: 99%

Diagnostic accuracy of multi-detector row computed tomography and magnetic resonance imaging in assessment of mandibular involvement, cervical lymph node metastases and T parameter staging of squamous cell carcinomas of tongue and floor of mouth

Kumar

Jaiswal

Kundu

2017

J. Kathmandu Med. Coll.

View full text Add to dashboard Cite

Background: Tongue and fl oor malignancies can be diagnosed based on biopsy and clinical examination, but diagnostic imaging is essential to confi rm and defi ne the size and extent of the disease. Objectives: The aim of this study was to recognise and understand the extent and precision of the diagnostic accuracy of multi-detector row computed tomography (MDCT) and magnetic resonance imaging (MRI) in mandibular tumour involvement, cervical lymph node metastases, T staging of tongue and fl oor of mouth malignancies in order to represent the proper treatment plan. Methods: Fifty patients with histologically proven squamous cell carcinomas (SCC) of tongue and fl oor of mouth malignancies underwent both multi-detector row computed tomography and magnetic resonance imaging before surgery. Two radiologists independently, unaware of the fi ndings, in consensus reviewed and interpreted all images to determine the extent of the primary tumour (T), mandibular tumour invasion and cervical lymph node metastasis. Imaging results obtained were correlated with postoperative histopathologic fi ndings that represented our reference standard. Cohen's kappa index and McNemar test were used to verify the concordance between the two radiologists and above mentioned three study parameters. Results: Magnetic resonance imaging showed superiority to multi-detector row computed tomography in the evaluation of the T parameter staging of TNM classifi cation and medullary bone involvement while multi-detector row computed tomography was more accurate compared to magnetic resonance imaging in the visualization of small cortical bone erosions. However, both the modalities demonstrated similar diagnostic performance in detection of metastatic lymph nodes. Conclusion: Multi-detector row computed tomography and magnetic resonance imaging have nearly equal potential for detecting the tumour size, mandibular infi ltration and nodal metastases.

show abstract

DentaScan as an Accurate Method of Predicting Mandibular Invasion in Patients With Squamous Cell Carcinoma of the Oral Cavity

Abstract: DentaScan is an accurate method of preoperative evaluation for mandibular invasion in patients with SCC of the oral cavity.

Cited by 51 publications

References 15 publications

Retromolar trigone squamous cell cancers: A reappraisal of 16 section MDCT for assessing mandibular invasion

Retromolar trigone squamous cell cancers: A reappraisal of 16 section MDCT for assessing mandibular invasion

Accuracy of imaging methods for detection of bone tissue invasion in patients with oral squamous cell carcinoma

Diagnostic accuracy of multi-detector row computed tomography and magnetic resonance imaging in assessment of mandibular involvement, cervical lymph node metastases and T parameter staging of squamous cell carcinomas of tongue and floor of mouth

Contact Info

Product

Resources

About