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Low skeletal muscle mass is a predictive factor for chemotherapy dose-limiting toxicity in patients with locally advanced head and neck cancer
- Source :
- Oral Oncology, 71, 26. Elsevier Limited
- Publication Year :
- 2017
-
Abstract
- OBJECTIVES: Low skeletal muscle mass (SMM) or sarcopenia is emerging as an adverse prognostic factor for chemotherapy dose-limiting toxicity (CLDT) and survival in cancer patients. Our aim was to determine the impact of low SMM on CDLT in patients with locally advanced head and neck squamous cell carcinoma (LA-HNSCC) treated with primary radiochemotherapy (RCT). PATIENTS AND METHODS: Consecutive patients diagnosed with LA-HNSCC and treated with primary RCT between 2007 and 2011 in our center were included. Clinical variables were retrospectively retrieved and SMM was measured at the level of the third cervical vertebra using pre-treatment head and neck CT-scans. After determining a cut-off value for low SMM, multivariate analysis was performed to identify prognostic factors for CDLT. RESULTS: Of 112 patients included, 30.4% experienced CDLT. The optimal cut-off value for low SMM as a predictor of CDLT was ≤43.2cm(2)/m(2). Using this cut-off, 54.5% patients had low SMM. Patients with low SMM experienced CDLT more frequently than patients with normal SMM (44.3% vs. 13.7%, p
- Subjects :
- Adult
Male
Oncology
Cancer Research
medicine.medical_specialty
Sarcopenia
Multivariate analysis
medicine.medical_treatment
Antineoplastic Agents
Head and neck neoplasms
law.invention
Young Adult
03 medical and health sciences
Skeletal muscle mass
0302 clinical medicine
Randomized controlled trial
law
Internal medicine
medicine
Journal Article
Humans
Risk factor
Muscle, Skeletal
030223 otorhinolaryngology
Radiochemotherapy
Aged
Chemotherapy
Dose-Response Relationship, Drug
Chemotherapy dose-limiting toxicity
business.industry
Head and neck cancer
Cancer
Organ Size
Middle Aged
medicine.disease
Head and neck squamous-cell carcinoma
Computer-assisted image analysis
Lean body mass
030220 oncology & carcinogenesis
Female
Oral Surgery
Tomography, X-Ray Computed
business
Subjects
Details
- Language :
- English
- ISSN :
- 13688375
- Database :
- OpenAIRE
- Journal :
- Oral Oncology, 71, 26. Elsevier Limited
- Accession number :
- edsair.doi.dedup.....150614f72a3cb4466ac41469f0f70738