Worst Pattern of Invasion as an Independent Predictor of Lymph node Metastasis and Prognosis in oral Cavity Squamous cell carcinoma – A Retrospective Cohort Study
Author:
Publisher
Springer Science and Business Media LLC
Subject
Otorhinolaryngology,Surgery
Link
https://link.springer.com/content/pdf/10.1007/s12070-022-03193-z.pdf
Reference32 articles.
1. Gupta N, Gupta R, Acharya AK et al (2016 Dec) Changing Trends in oral cancer-a global scenario. Nepal J Epidemiol 6(4):613
2. Safi AF, Grandoch A, Nickenig HJ et al (2017 Dec) Importance of lymph node ratio for locoregional recurrence of squamous cell carcinoma of the buccal mucosa. Head neck 39(12):2488–2493
3. Massano J, Regateiro FS, Januario G et al (2006) Oral squamous cell carcinoma: review of prognostic and predictive factors. Oral Surg Oral Med Oral Pathol Oral Radiol Endod 102:67–76
4. Almangush A, Bello IO, Keski-Säntti H et al (2014) Depth of invasion, tumor budding, and worst pattern of invasion: prognostic indicators in early-stage oral tongue cancer. Head Neck 36(6):811–818
5. Angadi PV, Patil PV, Hallikeri K et al (2015) Tumor budding is an independent prognostic factor for prediction of lymph node metastasis in oral squamous cell carcinoma. Int J Surg Pathol 23(2):102–110
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