ArticleOncology letters2018
Pathological tumor volume predicts survival outcomes in oral squamous cell carcinoma.
Article in Oncology letters, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
7 citing papers in PubMed.
- Validation of MRI-based nnU-Net model for automated segmentation of neck lymph nodes in head and neck squamous cell carcinoma: a multicenter study.Neuroradiology · 2026Article
- Deep Invasion Volume of the Primary Nasopharyngeal Carcinoma Predicts Treatment Outcome.AJNR. American journal of neuroradiology · 2025Article
- Pretreatment Tumor Volume and Tumor Sphericity as Prognostic Factors in Patients with Oral Cavity Squamous Cell Carcinoma: A Prospective Clinical Study in 95 Patients.Journal of personalized medicine · 2023Article
- Pathological tumor volume as a simple quantitative predictive factor of survival in oral squamous cell carcinoma.Oncology letters · 2023Article
- Machine Learning of Dose-Volume Histogram Parameters Predicting Overall Survival in Patients with Cervical Cancer Treated with Definitive Radiotherapy.Journal of oncology · 2022Article
- Article
- Peak of Standardized Uptake Value in Oral Cancer Predicts Survival Adjusting for Pathological Stage.In vivo (Athens, Greece)Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The present study examined whether the pathological tumor volume (PTV) was correlated with the survival outcomes in patients with oral squamous cell carcinoma (SCC) and clinical lymph node metastasis. Forty-seven patients who underwent radical surgery without preoperative treatment were enrolled. The PTV of the primary tumor, which was surgically resected without preoperative treatment, was calculated based on the diameters in three dimensions. A survival analysis was performed using a Cox proportional hazards model. A PTV of ≥18 cm
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