These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


Pubmed for Handhelds

PUBMED FOR HANDHELDS

Search MEDLINE/PubMed

  • Title: Histological risk score and its role in predicting recurrence in early-stage oral squamous cell carcinomas.
    Author: Fonseca D, Khemani R, Pasam MK, Tagore R, Rao BV, Kodandapani S, Rao C, V N Raju KV, Rao TS.
    Journal: Indian J Pathol Microbiol; 2023; 66(3):444-448. PubMed ID: 37530322.
    Abstract:
    CONTEXT: Oral squamous cell carcinoma (OSCC) comprises more than 90% of oral cancers and is the most common carcinoma affecting the oral cavity. Early stage T1/T2 OSCC have a heterogeneous prognosis and a significant number of patients develop loco regional recurrence (LRR) and have reduced disease free survival (DFS) with increased disease related mortality. AIMS AND OBJECTIVES: To assess the impact of the three parameters used in Brandwein-Gensler risk model along with lympho-vascular invasion (LVI), depth of invasion (DOI) and lymph node metastases in predicting LRR in early stage OSCC. MATERIALS AND METHODS: This was a retrospective study on early stage T1/2 OSCC patients over a period of 2 years who received treatment by surgical resection and had follow-up data. LRR was assessed based on recurrence of OSCC at the initial site or in regional lymph nodes. RESULTS: Out of 1135 OSCC cases during our study period a total of 207 cases befitted our inclusion criteria. Recurrence was noted in 113 (54.6%) cases. Univariate analysis identified LVI (P < 0.00001), DOI (P < 0.00001), nodal involvement (P < 0.00001), worst pattern of invasion (WPOI) (P < 0.00001), lymphocytic host response (LHR) (P = 0.004), perineural invasion (PNI) (P = 0.012) as strong statistically significant risk factors for LRR. CONCLUSION: Adequate assessment of simple parameters on routine H and E by incorporating Brandwein-Gensler histological risk scoring model at the initial presentation can help prognosticate and predict LRR and select patients for post-surgical adjuvant therapy.
    [Abstract] [Full Text] [Related] [New Search]