Skip to main content
Advertisement

Main menu

  • Home
  • Content
    • Current Issue
    • Accepted Manuscripts
    • Article Preview
    • Past Issue Archive
    • Video Articles
    • AJNR Case Collection
    • Case of the Week Archive
    • Case of the Month Archive
    • Classic Case Archive
  • Special Collections
    • AJNR Awards
    • Low-Field MRI
    • Alzheimer Disease
    • ASNR Foundation Special Collection
    • Photon-Counting CT
    • View All
  • Multimedia
    • AJNR Podcasts
    • AJNR SCANtastic
    • Trainee Corner
    • MRI Safety Corner
    • Imaging Protocols
  • For Authors
    • Submit a Manuscript
    • Submit a Video Article
    • Submit an eLetter to the Editor/Response
    • Manuscript Submission Guidelines
    • Statistical Tips
    • Fast Publishing of Accepted Manuscripts
    • Graphical Abstract Preparation
    • Imaging Protocol Submission
    • Author Policies
  • About Us
    • About AJNR
    • Editorial Board
    • Editorial Board Alumni
  • More
    • Become a Reviewer/Academy of Reviewers
    • Subscribers
    • Permissions
    • Alerts
    • Feedback
    • Advertisers
    • ASNR Home

User menu

  • Alerts
  • Log in

Search

  • Advanced search
American Journal of Neuroradiology
American Journal of Neuroradiology

American Journal of Neuroradiology

ASHNR American Society of Functional Neuroradiology ASHNR American Society of Pediatric Neuroradiology ASSR
  • Alerts
  • Log in

Advanced Search

  • Home
  • Content
    • Current Issue
    • Accepted Manuscripts
    • Article Preview
    • Past Issue Archive
    • Video Articles
    • AJNR Case Collection
    • Case of the Week Archive
    • Case of the Month Archive
    • Classic Case Archive
  • Special Collections
    • AJNR Awards
    • Low-Field MRI
    • Alzheimer Disease
    • ASNR Foundation Special Collection
    • Photon-Counting CT
    • View All
  • Multimedia
    • AJNR Podcasts
    • AJNR SCANtastic
    • Trainee Corner
    • MRI Safety Corner
    • Imaging Protocols
  • For Authors
    • Submit a Manuscript
    • Submit a Video Article
    • Submit an eLetter to the Editor/Response
    • Manuscript Submission Guidelines
    • Statistical Tips
    • Fast Publishing of Accepted Manuscripts
    • Graphical Abstract Preparation
    • Imaging Protocol Submission
    • Author Policies
  • About Us
    • About AJNR
    • Editorial Board
    • Editorial Board Alumni
  • More
    • Become a Reviewer/Academy of Reviewers
    • Subscribers
    • Permissions
    • Alerts
    • Feedback
    • Advertisers
    • ASNR Home
  • Follow AJNR on Twitter
  • Visit AJNR on Facebook
  • Follow AJNR on Instagram
  • Join AJNR on LinkedIn
  • RSS Feeds

AJNR Awards, New Junior Editors, and more. Read the latest AJNR updates

Research ArticleHead and Neck Imaging

Comparison of Intraoperative Sonography and Histopathologic Evaluation of Tumor Thickness and Depth of Invasion in Oral Tongue Cancer: A Pilot Study

B.C. Yoon, M.D. Bulbul, P.M. Sadow, W.C. Faquin, H.D. Curtin, M.A. Varvares and A.F. Juliano
American Journal of Neuroradiology July 2020, 41 (7) 1245-1250; DOI: https://doi.org/10.3174/ajnr.A6625
B.C. Yoon
aFrom the Departments of Radiology (B.C.Y.)
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for B.C. Yoon
M.D. Bulbul
cDepartments of Otolaryngology Head and Neck Surgery (M.D.B., M.A.V.)
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for M.D. Bulbul
P.M. Sadow
bPathology (P.M.S., W.C.F.), Massachusetts General Hospital, Boston, Massachusetts
ePathology (P.M.S., W.C.F.), Massachusetts Eye and Ear, Boston, Massachusetts.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for P.M. Sadow
W.C. Faquin
bPathology (P.M.S., W.C.F.), Massachusetts General Hospital, Boston, Massachusetts
ePathology (P.M.S., W.C.F.), Massachusetts Eye and Ear, Boston, Massachusetts.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for W.C. Faquin
H.D. Curtin
dRadiology (H.D.C., A.F.J.)
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for H.D. Curtin
M.A. Varvares
cDepartments of Otolaryngology Head and Neck Surgery (M.D.B., M.A.V.)
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for M.A. Varvares
A.F. Juliano
dRadiology (H.D.C., A.F.J.)
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for A.F. Juliano
  • Article
  • Figures & Data
  • Info & Metrics
  • Responses
  • References
  • PDF
Loading

Abstract

BACKGROUND AND PURPOSE: For primary squamous cell carcinoma of the oral tongue, accurate assessment of tumor thickness and depth of invasion is critical for staging and operative management. Currently, typical imaging modalities used for preoperative staging are CT and MR imaging. Intraoperatively, CT or MR imaging cannot provide real-time guidance, and assessment by manual palpation is limited in precision. We investigated whether intraoperative sonography is a feasible technique for assessment of tumor thickness and depth of invasion and validated its accuracy by comparing it with histopathologic evaluation of the resected specimen.

MATERIALS AND METHODS: Twenty-six patients with squamous cell carcinoma of the oral tongue who underwent tumor resection by a single surgeon between March 31, 2016, and April 26, 2019, were prospectively identified. Intraoperative sonography was obtained in planes longitudinal and transverse to the long axis of the tumor. Twenty-two patients had archived images that allowed measurements of tumor thickness and depth of invasion sonographically. Two patients had dysplasia and were excluded. The remaining 20 patients had histologic tumor thickness and histologic depth of invasion measured by a single pathologist.

RESULTS: The mean sonographic tumor thickness was 7.5  ± 3.5 mm, and the mean histologic tumor thickness was 7.0  ± 4.2 mm. Mean sonographic depth of invasion and histologic depth of invasion were 6.6  ± 3.4  and 6.4 ± 4.4 mm, respectively. There was excellent correlation between sonographic and histologic measurements for both tumor thickness and depth of invasion with Pearson correlation coefficients of 0.95 (95% CI, 0.87–0.98) and 0.95 (95% CI, 0.87–0.98), respectively.

CONCLUSIONS: Intraoperative sonography can provide reliable, real-time assessment of the extent of tongue tumors.

ABBREVIATIONS:

DOI
depth of invasion
OTSCC
oral tongue squamous cell carcinoma
TT
tumor thickness
uDOI
ultrasound-derived depth of invasion
US
sonography
uTT
ultrasound-derived tumor thickness

The recently updated, eighth edition of the Cancer Staging Manual of the American Joint Committee on Cancer incorporates the depth of invasion (DOI) of oral cavity cancers as an independent prognostic factor, in addition to tumor thickness (TT).1 Preoperative CT and MR imaging have been shown to delineate TT and DOI with good correlation to pathologically determined TT and DOI for lesions of >5 mm.2,3 However, the ability to perform intraoperative real-time assessment of tumor thickness and DOI as well as deep margin extent remains limited. Currently, manual palpation is the mainstay technique for tumor evaluation during an operation in attempting to achieve the goal of a gross 1-cm clearance at all margins with a goal of 0.5-cm microscopic clearance on permanently fixed tissue.4 Although manual palpation may be adequate for determination of the more superficial, mucosal extent of a tumor, it is limited for precise assessment of the deep margin and the border between involved tissue and normal/healthy tissue. Furthermore, the current criterion standard for TT and DOI is histologic evaluation, which can only be performed after the tumor has been resected.

Sonography (US) is being increasingly recognized as a valuable tool in the assessment of intraoral tumor extent.3,5 For instance, a recent study demonstrated that intraoperative sonography can be used for adequate demarcation of the deep-resection margins for tongue cancers.6 In this study, we extend the previous findings to determine the accuracy of intraoperative sonography in assessing TT (uTT) and DOI (uDOI) of oral tongue squamous cell carcinomas (OTSCC), comparing them with the criterion standard postexcision, histopathologically assessed TT and DOI.

MATERIALS AND METHODS

Study Design

Patients with previously untreated OTSCC were prospectively identified. They underwent tumor resection under US guidance by a single surgeon between March 31, 2016, and April 26, 2019. All US was performed by a single head and neck radiologist along with the surgeon and an US technologist. Patient data were obtained from medical records, including age, sex, and histologic tumor stage. This study was approved by the institutional review board of Massachusetts Eye and Ear.

Surgical Resection with Intraoperative Sonographic Guidance

Each patient was placed under general anesthesia. Good exposure was gained of the oral cavity by gentle retraction of the lips and oral commissures. Visual inspection and manual palpation of the tongue tumor was performed to identify tumor location and estimate tumor extent.

Intraoperative US was performed before, during, and following tumor resection using a broadband compact linear array transducer (L15-7io; Philips Healthcare). The US transducer was sheathed with a sterile probe cover, with US gel placed inside the probe cover against the transducer end. Copious sonography gel was applied to the oral tongue on top of the tumor. The probe was then placed on the gel/tumor by the radiologist, and the tumor was imaged. Compared with the normal tongue (Fig 1), the tumor is abnormally hypoechoic and distorts the normal tongue architecture (Fig 2). Extra care was taken to rest the probe gently on the gel without applying undue pressure on the tumor, to prevent external forces from the probe compressing and thereby potentially distorting and artificially altering the measured uTT and uDOI (Fig 3). Real-time scanning of the tumor was performed in all directions, to gain an understanding of tumor size, extent, morphology, and contour both at the superficial and deep margins. Using B-mode and Doppler sonography, we obtained still images and cine video clips in planes longitudinal and transverse to the long axis of the tumor, with the transducer oriented perpendicular to the deepest portion of the tumor. Still images of representative landmark locations demonstrating uTT and uDOI were obtained.

FIG 1.
  • Download figure
  • Open in new tab
  • Download powerpoint
FIG 1.

Gray-scale sonographic images of the normal oral tongue (A–C). Normal muscle striations can be seen in the paramedian oral tongue (A, sagittal) and in the midline dorsum of the tongue (B, transverse). Note that in the midline, the median fibrous septum is discernable as an echogenic line (arrow in B). At the lateral edge of the oral tongue, the parenchyma is mildly heterogeneous and hyperechoic (C, sagittal). D, Doppler sonography image of the lateral oral tongue shows fairly even distribution of blood flow throughout the parenchyma.

FIG 2.
  • Download figure
  • Open in new tab
  • Download powerpoint
FIG 2.

A, Axial contrast-enhanced CT image through the oral tongue is degraded by streak artifacts from metallic dental amalgam; the known right lateral oral tongue cancer cannot be appreciated. B, Re-angled contrast-enhanced CT image scanned at a tilted angle to avoid streak artifacts shows an area of subtle heterogeneous enhancement (arrow), likely representing the tumor. C, Coronal reformatted CT image shows the area (arrow) appearing relatively subtle and ill-defined. D, Intraoperative gray-scale sonography image shows an area of lobulated hypoechogenicity representing the tumor (arrows). The sonography probe was sheathed in a sterile probe cover (arrowhead), with sonography gel on either side of it (asterisks). Note how the probe was suspended lightly on the gel against the tongue to avoid distorting the natural contour of the tumor. E, Intraoperative gray-scale sonography image shows an endophytic ulcerated area of the tumor (marked by calipers). Sonography gel (arrow) coats the tongue in a thick layer, enabling visualization of the natural contour of the tumor.

FIG 3.
  • Download figure
  • Open in new tab
  • Download powerpoint
FIG 3.

Axial (A) and coronal (B) contrast-enhanced CT images show the enhancing right lateral tongue tumor (arrows in A and B). However, it is difficult to appreciate on these images whether there may be exophytic or endophytic components that may render DOI different from TT. C, Intraoperative gray-scale sonography image obtained at the edge of the tumor demonstrates the exophytic nature of the tumor at that site. Rulers show measurements taken for uDOI (on the left) and uTT (on the right). D, The arrows denote the deep margin of the tumor. E, Intraoperative sonography image obtained during resection but before complete extirpation. Air can be seen at the resected interface as an echogenic line (arrow). Calipers show the margin of clearance between tumor and resection plane. F, Intraoperative sonography image obtained following complete extirpation of tumor. Air is seen throughout the resected edge (arrows). Calipers demarcate the tumor. Special attention was paid to ensure that the resection margins were free of tumor.

Partial glossectomy then commenced, with the surgeon bearing in mind the attendant trajectory needed to produce approximately 1.0 cm of gross deep margin clearance.6 One-third to one-half of the way through tumor extirpation, the surgeon paused and gray-scale and Doppler US was again performed to evaluate the deep margin of resection along with inspection and palpation (Fig 3E). The tumor and resection trajectory were noted, and the margin of clearance between the tumor and cut edge was noted and measured at various points along the trajectory.

Resection then resumed, with the surgeon modifying the resection trajectory as needed on the basis of the clearance margin noted. Following complete tumor extirpation, sonography was performed for a third time, this time on the resected surgical specimen (Fig 3F). Scanning in all directions was performed, cine video images were obtained in longitudinal and transverse planes, and still images were acquired at representative locations, with special attention paid to the interface between tumor tissue and healthy tissue and the margin of clearance between that interface and the resected surface. The surgical specimen was then taken to the frozen section laboratory and examined by both the surgeon and the attending pathologist (see below).

Imaging Analysis

Measurements of uTT and uDOI from intraoperative sonography images were made by 2 neuroradiologists, one with 15 years of neuro-/head and neck radiology experience (A.F.J.) and the other with 6 years of neuro-/head and neck radiology experience (B.C.Y.). Images were displayed on the PACS. The uTT was measured from the superficial surface of the tumor to the deepest point of tumor invasion (Fig 4), following a path that is perpendicular to the tongue surface. The uDOI was measured from the level of projected normal mucosal surface7/basement membrane adjacent to the tumor to the deepest point of tumor invasion (Fig 4), along a path perpendicular to the tongue surface. Consensus measurements were used for analysis.

FIG 4.
  • Download figure
  • Open in new tab
  • Download powerpoint
FIG 4.

A, Schematic representation of tumor thickness and depth of invasion. B, Representative, intraoperative sonography image of a tongue squamous cell carcinoma. The lesion is seen as a circumscribed, hypoechoic mass (asterisk). Scale bar = 1cm.

Statistical Analysis

Statistical analysis was performed using GraphPad Prism software (Version 8; GraphPad Software). The Pearson correlation was used to determine the correlation between the sonographic and histopathologic assessments.

Intraoperative and Postoperative Tissue Analysis

Histopathologic analysis on the resected specimen was performed in 2 stages: measurements made by gross and microscopic evaluation intraoperatively, including selected frozen sections of the specimen, as is routine for surgery, and routine gross and histopathologic analyses postoperatively.

In the frozen section laboratory, the specimen was oriented by the surgeon along with the head and neck pathologist (P.M.S.). Gross measurements of the resection specimen were made along with gross measurements of the tumor to the closest surgical margins, leaving the oriented specimen largely intact for further prosection following fixation in formalin. After gross measurements of the tumor distance to the surgical margins (in centimeters or millimeters) were recorded, the closest margins to the tumor (on the main specimen), up to 6, were taken directly from the specimen, with a perpendicular (radial) section made to approximate the closest distance of tumor to the true surgical resection edge. This tissue was frozen in optimal cutting temperature compound with a 4-μm section cut using a cryostat. The tissue section, placed on positively charged glass slides, was fixed in ethanol and stained with hematoxylin-eosin for intraoperative histologic review. Distance to the surgical margins was measured microscopically using a professional light microscope (Olympus BX51 microscope with Olympus DP27 camera). Following intraoperative evaluation of surgical margins, the tissue (main specimen) was placed in formalin preservative and fixed for permanent processing and histologic review. The frozen “margin” remnant tissue was transferred to cassettes for formalin fixation (the optimal cutting temperature compound is water/formalin soluble) and re-analyzed on permanent section following proper fixation and paraffin embedding.

RESULTS

A total of 26 patients with OTSCC were included in this series. Among this cohort, 22 patients had archived images in the PACS that allowed measurements to be made sonographically (uTT, uDOI). Two patients had dysplasia and were excluded. Of the remaining 20 patients, all had both histopathologic TT and DOI measured by a single pathologist (Table).

View this table:
  • View inline
  • View popup

Patient characteristics

The mean uTT was 7.5 ± 3.5 mm, and the mean histopathologic TT was 7.0  ± 4.2 mm. The mean uDOI and histopathologic DOI were 6.6 ± 3.4 mm and 6.4 ± 4.4 mm, respectively. There was a strong correlation between sonographic and histologic measurements for both TT and DOI with Pearson correlation coefficients of 0.95 (95% CI, 0.87–0.98) and 0.95 (95% CI, 0.87–0.98), respectively (Fig 5).

FIG 5.
  • Download figure
  • Open in new tab
  • Download powerpoint
FIG 5.

A, Correlation between sonography and histologic tumor thickness measurements (r = Pearson coefficient; n = 20). B, Correlation between sonography and histologic depth of invasion measurements (r = Pearson coefficient; n = 20).

DISCUSSION

Sonographic imaging of the tongue tumor, surrounding tissues, and interface between tumor and normal tissue was successfully performed intraoperatively in all cases without adverse events. A strong correlation was observed between sonographic and histopathologic measurements of both TT and DOI.

Intraoperative US has been shown to be critically helpful in the guidance of tumor resection in various parts of the body.8 Real-time sonography performed immediately before and during surgical resection can help to inform the resection trajectory by demonstrating the tumor and illustrating exophytic or endophytic components, as well as the surrounding uninvolved tissue, clearance margin between tumor and resection surface, vessels, and so forth. With real-time sonography, the surgeon can be reassured that the resection trajectory (for the purpose of tumor clearance) is adequate and optimal, or can be alerted to the need to modify the resection trajectory (for the purpose of organ preservation) to balance the need for adequate tumor margins and preservation of the maximal amount of uninvolved tissue. This assurance is particularly critical for a small-but-functionally-critical organ such as the oral tongue, vital for speech, swallowing, food intake, and airway preservation. In this study, we have shown that sonography has good accuracy in determining the TT and DOI of oral tongue masses, ensuring that it is a reliable method for surgical guidance.

One of the limitations of sonography is the variability in image acquisition between different lesions and different operators. In this series, for instance, the initial several cases were performed with the transducer placed directly over and applying pressure to the tumor, which effectively compresses the lesion and possibly underestimates the TT. With increasing experience and awareness of this issue and with the need to ensure that we distinguish exophytic from endophytic portions of the tumor, we began to apply a thick layer of sonography gel on the tumor and suspend the transducer within the gel without pressure on the tumor, thus avoiding distortion of tumor configuration. Of note, histopathologic assessment can also be affected by distortion during resection and histologic preparation, including, among other mechanical distortions, tissue-retraction artifacts.

No substantial increase in operative time was observed in this series, though there remains a potential for prolonging the operative time depending on the availability of equipment and/or expertise of the sonographer at each facility/institution. Although the tumor margins were relatively well-defined in the current series, they may be more obscured depending on the tumor histology and/or transducer types. In addition, if the tumor shape is irregular, then measurements may be subject to variability depending on which point and path is selected for measuring purposes; however, this is the case for both sonography and frozen section evaluation.

CONCLUSIONS

This pilot study demonstrates that intraoperative sonography can provide objective, real-time assessment of TT and DOI with excellent correlation with histologic evaluation. This information is extremely helpful intraoperatively, allowing (1) resection with clear margins upfront, important since positive margins cannot be revised in second surgeries to a level of disease control of that of an initially negative resection margin;9-11 (2) choice of elective neck dissection to be performed in a clinically N0 neck (advisable at a threshold of 4 mm DOI) in the same surgical episode. It also provides accurate staging information for multidisciplinary management of the patient going forward. Additional work is needed to confirm the high level of correlation between sonographic and histologic measurements of TT and DOI and to deploy the use of ultrasound more widely in the care of patients with oral cancer.

Footnotes

  • Disclosures: William C. Faquin—UNRELATED: Board Membership: American Cancer Society, Comments: Editor-in-Chief for Cancer Cytopathology; Expert Testimony: medicolegal firms, Comments: rare expert testimony for medicolegal cases unrelated to this article.

References

  1. 1.↵
    1. Lydiatt WM,
    2. Patel SG,
    3. O'Sullivan B, et al
    . Head and neck cancers: major changes in the American Joint Committee on Cancer eighth edition Cancer Staging Manual. CA Cancer J Clin 2017;67:122–37 doi:10.3322/caac.21389 pmid:28128848
    CrossRefPubMed
  2. 2.↵
    1. Weimar EA,
    2. Huang SH,
    3. Lu L, et al
    . Radiologic-pathologic correlation of tumor thickness and its prognostic importance in squamous cell carcinoma of the oral cavity: implications for the eighth edition Tumor, Node, Metastasis Classification. AJNR Am J Neuroradiol 2018;39:1896–902 doi:10.3174/ajnr.A5782 pmid:30166432
    Abstract/FREE Full Text
  3. 3.↵
    1. Shintani S,
    2. Yoshihama Y,
    3. Ueyama Y, et al
    . The usefulness of intraoral ultrasonography in the evaluation of oral cancer. Int J Oral Maxillofac Surg 2001;30:139–43 doi:10.1054/ijom.2000.0035 pmid:11405449
    CrossRefPubMed
  4. 4.↵
    1. Wong LS,
    2. McMahon J,
    3. Devine J, et al
    . Influence of close resection margins on local recurrence and disease-specific survival in oral and oropharyngeal carcinoma. Br J Oral Maxillofac Surg 2012;50:102–08 doi:10.1016/j.bjoms.2011.05.008
    CrossRefPubMed
  5. 5.↵
    1. Narayana HM,
    2. Panda NK,
    3. Mann SB, et al
    . Ultrasound versus physical examination in staging carcinoma of the mobile tongue. J Laryngol Otol 1996;110:43–47 doi:10.1017/s0022215100132682 pmid:8745780
    CrossRefPubMed
  6. 6.↵
    1. Tarabichi O,
    2. Kanumuri V,
    3. Juliano AF, et al
    . Intraoperative ultrasound in oral tongue cancer resection: feasibility study and early outcomes. Otolaryngol Head Neck Surg 2018;158:645–48 doi:10.1177/0194599817742856 pmid:29161194
    CrossRefPubMed
  7. 7.↵
    1. Hegde P,
    2. Roy S,
    3. Shetty T, et al
    . Tumor infiltration depth as a prognostic parameter for nodal metastasis in oral squamous cell carcinoma. Int J Appl Basic Med Res 2017;7:252–57 doi:10.4103/ijabmr.IJABMR_66_17 pmid:29308364
    CrossRefPubMed
  8. 8.↵
    1. Grondona P,
    2. Meola C,
    3. Floris F, et al
    . Ultrasound-guided liver resection: early experience in a district general hospital. J Ultrasound 2008;11:162–67 doi:10.1016/j.jus.2008.09.004 pmid:23396619
    CrossRefPubMed
  9. 9.↵
    1. Patel RS,
    2. Goldstein DP,
    3. Guillemaud J, et al
    . Impact of positive frozen section microscopic tumor cut-through revised to negative on oral carcinoma control and survival rates. Head Neck 2010;32:1444–51 doi:10.1002/hed.21334 pmid:20091833
    CrossRefPubMed
  10. 10.
    1. Bulbul MG,
    2. Tarabichi O,
    3. Sethi RK, et al
    . Does clearance of positive margins improve local control in oral cavity cancer? A meta-analysis. Otolaryngol Head Neck Surg 2019;161:235–44 doi:10.1177/0194599819839006 pmid:30912991
    CrossRefPubMed
  11. 11.↵
    1. Varvares MA,
    2. Poti S,
    3. Kenyon B, et al
    . Surgical margins and primary site resection in achieving local control in oral cancer resections. Laryngoscope 2015;125:2298–307 doi:10.1002/lary.25397 pmid:26011037
    CrossRefPubMed
  • Received March 19, 2020.
  • Accepted after revision April 24, 2020.
  • © 2020 by American Journal of Neuroradiology
View Abstract
PreviousNext
Back to top

In this issue

American Journal of Neuroradiology: 41 (7)
American Journal of Neuroradiology
Vol. 41, Issue 7
1 Jul 2020
  • Table of Contents
  • Index by author
  • Complete Issue (PDF)
Advertisement
Print
Download PDF
Email Article

Thank you for your interest in spreading the word on American Journal of Neuroradiology.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
Comparison of Intraoperative Sonography and Histopathologic Evaluation of Tumor Thickness and Depth of Invasion in Oral Tongue Cancer: A Pilot Study
(Your Name) has sent you a message from American Journal of Neuroradiology
(Your Name) thought you would like to see the American Journal of Neuroradiology web site.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Cite this article
B.C. Yoon, M.D. Bulbul, P.M. Sadow, W.C. Faquin, H.D. Curtin, M.A. Varvares, A.F. Juliano
Comparison of Intraoperative Sonography and Histopathologic Evaluation of Tumor Thickness and Depth of Invasion in Oral Tongue Cancer: A Pilot Study
American Journal of Neuroradiology Jul 2020, 41 (7) 1245-1250; DOI: 10.3174/ajnr.A6625

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
0 Responses
Respond to this article
Share
Bookmark this article
Comparison of Intraoperative Sonography and Histopathologic Evaluation of Tumor Thickness and Depth of Invasion in Oral Tongue Cancer: A Pilot Study
B.C. Yoon, M.D. Bulbul, P.M. Sadow, W.C. Faquin, H.D. Curtin, M.A. Varvares, A.F. Juliano
American Journal of Neuroradiology Jul 2020, 41 (7) 1245-1250; DOI: 10.3174/ajnr.A6625
del.icio.us logo Twitter logo Facebook logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One
Purchase

Jump to section

  • Article
    • Abstract
    • ABBREVIATIONS:
    • MATERIALS AND METHODS
    • RESULTS
    • DISCUSSION
    • CONCLUSIONS
    • Footnotes
    • References
  • Figures & Data
  • Info & Metrics
  • Responses
  • References
  • PDF

Related Articles

  • No related articles found.
  • PubMed
  • Google Scholar

Cited By...

  • No citing articles found.
  • Crossref
  • Google Scholar

This article has not yet been cited by articles in journals that are participating in Crossref Cited-by Linking.

More in this TOC Section

  • Hydrops Herniation into the Semicircular Canals
  • ASL Sensitivity for Head and Neck Paraganglioma
  • Post SRS Peritumoral Hyperintense Signal of VSs
Show more HEAD AND NECK IMAGING

Similar Articles

Advertisement

Indexed Content

  • Current Issue
  • Accepted Manuscripts
  • Article Preview
  • Past Issues
  • Editorials
  • Editor's Choice
  • Fellows' Journal Club
  • Letters to the Editor
  • Video Articles

Cases

  • Case Collection
  • Archive - Case of the Week
  • Archive - Case of the Month
  • Archive - Classic Case

More from AJNR

  • Trainee Corner
  • Imaging Protocols
  • MRI Safety Corner
  • Book Reviews

Multimedia

  • AJNR Podcasts
  • AJNR Scantastics

Resources

  • Turnaround Time
  • Submit a Manuscript
  • Submit a Video Article
  • Submit an eLetter to the Editor/Response
  • Manuscript Submission Guidelines
  • Statistical Tips
  • Fast Publishing of Accepted Manuscripts
  • Graphical Abstract Preparation
  • Imaging Protocol Submission
  • Evidence-Based Medicine Level Guide
  • Publishing Checklists
  • Author Policies
  • Become a Reviewer/Academy of Reviewers
  • News and Updates

About Us

  • About AJNR
  • Editorial Board
  • Editorial Board Alumni
  • Alerts
  • Permissions
  • Not an AJNR Subscriber? Join Now
  • Advertise with Us
  • Librarian Resources
  • Feedback
  • Terms and Conditions
  • AJNR Editorial Board Alumni

American Society of Neuroradiology

  • Not an ASNR Member? Join Now

© 2025 by the American Society of Neuroradiology All rights, including for text and data mining, AI training, and similar technologies, are reserved.
Print ISSN: 0195-6108 Online ISSN: 1936-959X

Powered by HighWire