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Cited by 528

The DOI matches its Crossref record.

Review of the literature and a recommended system of malignancy grading in oral squamous cell carcinomas

ANNEROTH, GÖRAN, BATSAKIS, JOHN, LUNA, MARIO·1987·European Journal of Oral Sciences

Abstract

Abstract – A review of histologic classification systems for grading of malignancy in squamous cell carcinomas of the head and neck region is presented. Reasons behind the varying results obtained in studies using his tomorphologic grading schemes are presented and potential errors involved in this type of clinical research are discussed. Requirements for the study of correlations between malignancy grade scoring, and recurrence and survival rates are presented. These include factors as patient selection, clinical staging, and follow‐up principles. Special attention must be given to treatment modalities, establishment of negative surgical margins and occurrence of regional lymph node and/or distant metastases.

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Crossref · 10.1111/j.1600-0722.1987.tb01836.x

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Metadata

Authors
ANNEROTH, G., BATSAKIS, J., & LUNA, M.
Venue
European Journal of Oral Sciences
Publisher
Wiley
Published
1987-06
Volume
95
Issue
3
Pages
229-249
ISSN
  • 0029-845X (ISSN-L)
  • 0909-8836
  • 1600-0722
OpenAlex
W2165240286
Cited by
528
References
0
FWCI
3.31
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Review of the literature and a recommended system of malignancy grading in oral squamous cell carcinomas. https://app.cochat.ai/papers/10.1111/j.1600-0722.1987.tb01836.x
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ANNEROTH, G., BATSAKIS, J., & LUNA, M. (1987). Review of the literature and a recommended system of malignancy grading in oral squamous cell carcinomas. European Journal of Oral Sciences. https://doi.org/10.1111/j.1600-0722.1987.tb01836.x

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.