Observational studyNutrients2024
Ultrasound Muscle Evaluation for Predicting the Prognosis of Patients with Head and Neck Cancer: A Large-Scale and Multicenter Prospective Study.
Observational study in Nutrients, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed, 12 citations in OpenAlex.
- Sarcopenia is associated with poor swallowing outcomes after resection and free flap reconstruction for oral cancer.Oral oncology reports · 2026Article
- Article
- Normative Reference Values and Cut-Off Points for Nutritional Ultrasound: The VALORES Study.Journal of cachexia, sarcopenia and muscle · 2026Article
- A Conceptual Framework for Managing Oral Intake in Head and Neck Cancer Patients Undergoing Chemoradiotherapy.Nutrients · 2026Review
- Clinical and prognostic value of dynapenia in patients with head and neck cancer: a multicenter cohort study. VALOR group.Frontiers in nutrition · 2026Article
- Nutritional ultrasound cut off for predicting complications and mortality in lung cancer patients: a multicenter longitudinal study from the VALONC project.Frontiers in nutrition · 2026Article
- The role of nutritional status and sarcopenia in treatment tolerance and toxicity in head and neck cancer: a narrative review.Frontiers in nutrition · 2026Review
- Association of CONUT Score with Ultrasound-Measured Muscle Mass and 30-, 45-, and 60-Day Mortality in Geriatric Palliative Care Patients: A Prospective Observational Study.Journal of clinical medicine · 2025Article
- Clinical utility of ultrasound in the assessment of sarcopenia in cancer patients: A cross-sectional study.Medicine · 2025Observational
- Impact of Nutritional Status on Severe Radiation-Induced Mucositis in Oropharyngeal Cancer Patients Undergoing Chemo-Radiotherapy.Nutrients · 2025Article
- Muscle thickness from amplitude mode ultrasound and clinical outcomes in patients with cancer.Scientific reports · 2025Article
- Ultrasound cut-off values for muscle thickness, cross-sectional area, and echo intensity in Caucasian adults: a narrative review.Quantitative imaging in medicine and surgery · 2025Review
- Nutritional factors and survival in a cohort of patients with oral cancer.Frontiers in nutrition · 2025Article
- Association between nutritional targets and muscle index changes in patients with terminal cancer under palliative care.Turkish journal of medical sciences · 2025Article
- Article
- Predictive Factors of the Degrees of Malnutrition According to GLIM Criteria in Head and Neck Cancer Patients: Valor Group.Cancers · 2024Article
- Impact of various nutritional interventions on the physical and mental state of patients undergoing surgery for oral and maxillofacial tumor: guiding patients' informed choices.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024Article
- Rectus femoris cross sectional area and timed up and go test potential useful of as a predictor of sarcopenia and mortality in idiopathic pulmonary fibrosis.Frontiers in nutrition · 2024Article
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Authors and funding
15 authors at 10 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Head and neck cancer (HNC) is a prevalent and aggressive form of cancer with high mortality rates and significant implications for nutritional status. Accurate assessment of malnutrition in patients with HNC is crucial for optimizing treatment outcomes and improving survival rates. This study aimed to evaluate the use of ultrasound techniques for predicting nutritional status, malnutrition, and cancer outcomes in patients with HNC. A total of 494 patients with HNC were included in this cross-sectional observational study. Various tools and body composition measurements, including muscle mass and adipose tissue ultrasound evaluations, were implemented. Using regression models, we mainly found that high levels of RF-CSA (rectus femoris cross-sectional area) were associated with a decreased risk of malnutrition (as defined with GLIM criteria (OR = 0.81, 95% CI: 0.68-0.98); as defined with PG-SGA (OR = 0.78, 95% CI: 0.62-0.98)) and sarcopenia (OR = 0.64, 95% CI: 0.49-0.82) after being adjusted for age, sex, and BMI. To predict the importance of muscle mass ultrasound variables on the risk of mortality, a nomogram, a random forest, and decision tree models were conducted. RF-CSA was the most important variable under the random forest model. The obtained C-index for the nomogram was 0.704, and the Brier score was 16.8. With an RF-CSA < 2.7 (AUC of 0.653 (0.59-0.77)) as a split, the decision tree model classified up to 68% of patients as possessing a high probability of survival. According to the cut-off value of 2.7 cm
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