Interobserver agreement of skeletal muscle mass measurement on head and neck CT imaging at the level of the third cervical vertebra

Prevalence and Association of Sarcopenia with Mortality in Patients with Head and Neck Cancer: A Systematic Review and Meta-Analysis

BACKGROUND

The objective of this meta-analysis was to assess the association of sarcopenia defined on computed tomography (CT) head and neck with survival in head and neck cancer patients.

METHODS

Following a PROSPERO-registered protocol, two blinded reviewers extracted data and evaluated the quality of the included studies using the Quality In Prognostic Studies (QUIPS) tool, in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The quality of evidence was assessed using the Grading of Recommendations, Assessment, Development and Evaluations (GRADE) framework. A meta-analysis was conducted using maximally adjusted hazard ratios (HRs) with the random-effects model. Heterogeneity was measured using the I2 statistic and was investigated using meta-regression and subgroup analyses where appropriate.

RESULTS

From 37 studies (11,181 participants), sarcopenia was associated with poorer overall survival (HR 2.11, 95% confidence interval [CI] 1.81-2.45; p < 0.01), disease-free survival (HR 1.76, 95% CI 1.38-2.24; p < 0.01), disease-specific survival (HR 2.65, 95% CI 1.80-3.90; p < 0.01), progression-free survival (HR 2.24, 95% CI 1.21-4.13; p < 0.01) and increased chemotherapy or radiotherapy toxicity (risk ratio 2.28, 95% CI 1.31-3.95; p < 0.01). The observed association between sarcopenia and overall survival remained significant across different locations of cancer, treatment modality, tumor stages and geographical region, and did not differ between univariate and multivariate HRs. Statistically significant correlations were observed between the C3 and L3 cross-sectional area, skeletal muscle mass, and skeletal muscle index.

CONCLUSIONS

Among patients with head and neck cancers, CT-defined sarcopenia was consistently associated with poorer survival and greater toxicity.

The association between skeletal muscle mass and sensorineural hearing loss upon cisplatin-based chemoradiotherapy in patients with head and neck squamous cell carcinoma

INTRODUCTION

Patients with head and neck squamous cell carcinoma (HNSCC) treated with cisplatin-based chemoradiotherapy (CRT) frequently experience irreversible sensorineural hearing loss (SNHL). Patients with low lumbar skeletal muscle index (LSMI) may experience higher serum peak dosages of cisplatin. This study investigated whether pre-treatment low LSMI is associated with increased SNHL upon cisplatin-based CRT.

MATERIALS AND METHODS

LSMI was assessed using routine pre-treatment CT scans. Pure tone audiometry was performed at baseline and at follow-up to assess treatment-related SNHL. Linear mixed models were used to reveal a potential association between the continuous variable LSMI and SNHL.

RESULTS

This retrospective cohort study included 81 patients and found a significant association between low LSMI and increased treatment-related SNHL at pure tone frequencies vital for the perception of speech (averaged of 1, 2, and 4 kHz) (p = 0.048).

CONCLUSIONS

HNSCC patients with low LSMI suffer increased treatment-related SNHL upon cisplatin-based CRT.

CT-assessed sarcopenia and prognostic nutritional index are associated with poor prognosis in oral squamous cell carcinoma

PURPOSE

Recently, it has been reported that sarcopenia and nutritional evaluation are associated with the prognosis of patients with cancer; however, there are only a few detailed reports on oral cancer. This single-center retrospective study aimed to analyze the relationship between computed tomography (CT)-assessed sarcopenia (CT-SP), immunocompetence, nutritional status, and the prognosis of patients with oral squamous cell carcinoma (OSCC).

METHODS

This retrospective study included patients who underwent radical therapy with surgery for OSCC between January 2014 and January 2021. Skeletal muscle in the third cervical vertebra (C3) was measured using preoperative cervical CT, and the skeletal muscle index (SMI) was calculated. Nutritional status were investigated using blood tests. The correlation between each parameter and prognosis was analyzed. The primary predictor variables were SMI, ECOG performance status, BMI, and nutritional status. The primary outcome variable was the 5-year overall survival rate (OS) and the secondary outcome variable was 5-year disease-specific survival rate (DSS).

RESULTS

One hundred sixty-three patients were registered retrospectively. The number of patients with CT-SP was 76 (52%). In the univariate analysis, CT-SP, prognostic nutritional index (PNI), and lymphocyte-monocyte ratio (LMR) were associated with poor prognosis, with statistically significant differences in OS and DSS. In the multivariate analysis, only CT-SP was identified as an independent prognostic factor for DSS. CT-SP was significantly correlated with the PNI.

CONCLUSION

CT-SP was associated with a significant decrease in survival rate in patients with OSCC. Furthermore, CT-SP was correlated with the PNI.

Low dose cisplatin weekly versus high dose cisplatin every three weeks in primary chemoradiotherapy in head and neck cancer patients with low skeletal muscle mass: The CISLOW-study protocol

Chemoradiotherapy with cisplatin in a triweekly regimen of 100 mg/m2 body surface area, is used to treat locally advanced head and neck squamous cell carcinoma (HNSCC) with curative intent. Cisplatin dose limiting toxicity (CDLT) occurs often and impedes obtaining the planned cumulative cisplatin dose. A cumulative cisplatin dose of 200 mg/m2 or more is warranted for better survival and locoregional control. Patients with a low skeletal muscle mass (SMM) have a three-fold higher risk of developing CDLT than patients with a normal SMM. SMM can be assessed through measurements on routinely performed diagnostic head and neck CT- or MRI-scans. A weekly regimen of 40 mg/m2 body surface area cisplatin is proposed as a less toxic schedule, which possibly decreases the risk of developing CDLT and enables reaching a higher cumulative cisplatin dose. The aim of this multicenter randomized clinical trial (NL76533.041.21, registered in the Netherlands Trial Register) is to identify whether a regimen of weekly cisplatin increases compliance to the planned chemotherapy scheme in HNSCC patients with low SMM. The primary outcome is the difference in compliance rate, defined as absence of CDLT, between low SMM patients receiving either the weekly or triweekly regimen. Secondary outcomes consist of toxicities, the cumulative cisplatin dose, time to recurrence, incidence of recurrence at two years of follow-up, location of recurrence, 2-year overall, disease free and disease specific survival, quality of life, patient's experiences, and cost-effectiveness.

Is assessment of skeletal muscle mass useful to predict time-to-awake in awake craniotomies?

Awake craniotomy is the gold standard for the resection of brain lesions near eloquent areas. For the commonly used asleep-awake-asleep technique, the patient must be awake and fully cooperative as soon as possible after discontinuation of anesthetics. A shorter emergence time is essential to decrease the likelihood of adverse events. Previous research found no relationship between body mass index (BMI) and time-to-awake for intravenous anesthesia with propofol, which is a lipophilic agent. As BMI cannot differentiate between fat and muscle tissue, we hypothesize that skeletal muscle mass, particularly when combined with BMI, may better predict time-to-awake from propofol sedation. We aimed to evaluate the relationship between skeletal muscle mass and the time-to-awake in patients undergoing awake craniotomy, as well as the interaction between skeletal muscle mass and BMI. In 260 patients undergoing an awake craniotomy, we used preoperative magnetic resonance imaging to assess temporalis muscle and cross-sectional skeletal muscle area of the masseter muscles and at level of the third cervical vertebra. Time-to-awake was dichotomized as ≤20 and >20 minutes. No association between various measures of skeletal muscle mass and time-to-awake was observed, and no interaction between skeletal muscle mass and BMI was found (all P > .05). Likewise, patients with a high BMI and low skeletal muscle mass (indicating an increased proportion of fat tissue) did not have a prolonged time-to-awake. Skeletal muscle mass did not predict time-to-awake in patients undergoing awake craniotomy, neither in isolation nor in combination with a high BMI.

Computed tomography-defined sarcopenia as a risk factor for short-term postoperative complications in oral cancer patients with free flap reconstruction: A retrospective population-based cohort study

BACKGROUND

Postoperative complications after free flap reconstruction for oral cancer can increase cost and prolong hospitalization. This study explored risk factors for complications, focusing on sarcopenia.

METHODS

The study explored the associations between computed tomography-defined sarcopenia and the occurrence of postoperative complications, adjusted for age, gender, smoking, alcohol, ASA scoring, clinical stage of tumor, tumor site, type of free flap used, presence of tracheotomy, and blood test parameters.

RESULTS

Of 253 patients, 17.39% (44/253) of oral cancer patients had comorbid sarcopenia. Univariate analysis showed an overall postoperative complication rate of 65.90% in the sarcopenia group and 51.67% in the non-sarcopenia group. Multivariate modeling showed sarcopenia and smoking were major risk factors for total and respiratory complications, increasing the risks by over two-fold. No factors significantly impacted surgery-specific complications.

CONCLUSIONS

This study identified sarcopenia as a risk factor for postoperative complications in oral cancer patients undergoing flap reconstruction.

Muscle quality and not quantity as a predictor of survival in head and neck squamous cell carcinoma

BACKGROUND

Sarcopenia is frequent in head and neck squamous cell carcinoma (HNSCC), as a consequence of malnutrition related to risk factors or tumoral mass. Treatment is associated with toxicities that lead to reduced calories intake and muscle mass wasting. Sarcopenia has been negatively associated with tumor control and survival outcomes.

PURPOSE

Our aim is to evaluate the prognostic impact of sarcopenia on overall survival (OS) and progression free survival (PFS) in HNSCC patients undergoing chemoradiation therapy within a prospective clinical trial of chemoradiation vs induction chemotherapy followed by radiation and cetuximab (INTERCEPTOR).

MATERIALS AND METHODS

On baseline CT or MRI, we investigated the association between OS and PFS with radiological markers of sarcopenia, measured at the third cervical vertebra level. We studied paravertebral skeletal muscles area (cm2), muscle density (HU), muscle index (cm2/m2), and intermuscular adipose tissue (IMAT) area (cm2).

RESULTS

Imaging of 128 patients was evaluable. We found out that higher body mass index (BMI) was associated with better OS (p = 0.02), and PFS (p = 0.04). Skeletal muscle area (p = 0.02), and IMAT (p = 0.02) were negatively associated with PFS. IMAT was positively correlated with muscle area (Correlation coefficient 0.6, CI95% 0.47-0.7), and negatively associated with muscle density (Correlation coefficient -0.37, CI95% -0.53 - -0.18).

CONCLUSIONS

IMAT can be used as predictor of PFS in HNC patients undergoing chemoradiation therapy. The amount of intermuscular fat deposits induces alterations of muscle quality, without alterations of muscle quantity, influencing patients' prognosis.

Development and Validation of an Automated Image-Based Deep Learning Platform for Sarcopenia Assessment in Head and Neck Cancer

Importance

Sarcopenia is an established prognostic factor in patients with head and neck squamous cell carcinoma (HNSCC); the quantification of sarcopenia assessed by imaging is typically achieved through the skeletal muscle index (SMI), which can be derived from cervical skeletal muscle segmentation and cross-sectional area. However, manual muscle segmentation is labor intensive, prone to interobserver variability, and impractical for large-scale clinical use.

Objective

To develop and externally validate a fully automated image-based deep learning platform for cervical vertebral muscle segmentation and SMI calculation and evaluate associations with survival and treatment toxicity outcomes.

Design, Setting, and Participants

For this prognostic study, a model development data set was curated from publicly available and deidentified data from patients with HNSCC treated at MD Anderson Cancer Center between January 1, 2003, and December 31, 2013. A total of 899 patients undergoing primary radiation for HNSCC with abdominal computed tomography scans and complete clinical information were selected. An external validation data set was retrospectively collected from patients undergoing primary radiation therapy between January 1, 1996, and December 31, 2013, at Brigham and Women's Hospital. The data analysis was performed between May 1, 2022, and March 31, 2023.

Exposure

C3 vertebral skeletal muscle segmentation during radiation therapy for HNSCC.

Main Outcomes and Measures

Overall survival and treatment toxicity outcomes of HNSCC.

Results

The total patient cohort comprised 899 patients with HNSCC (median [range] age, 58 [24-90] years; 140 female [15.6%] and 755 male [84.0%]). Dice similarity coefficients for the validation set (n = 96) and internal test set (n = 48) were 0.90 (95% CI, 0.90-0.91) and 0.90 (95% CI, 0.89-0.91), respectively, with a mean 96.2% acceptable rate between 2 reviewers on external clinical testing (n = 377). Estimated cross-sectional area and SMI values were associated with manually annotated values (Pearson r = 0.99; P < .001) across data sets. On multivariable Cox proportional hazards regression, SMI-derived sarcopenia was associated with worse overall survival (hazard ratio, 2.05; 95% CI, 1.04-4.04; P = .04) and longer feeding tube duration (median [range], 162 [6-1477] vs 134 [15-1255] days; hazard ratio, 0.66; 95% CI, 0.48-0.89; P = .006) than no sarcopenia.

Conclusions and Relevance

This prognostic study's findings show external validation of a fully automated deep learning pipeline to accurately measure sarcopenia in HNSCC and an association with important disease outcomes. The pipeline could enable the integration of sarcopenia assessment into clinical decision making for individuals with HNSCC.

Role of sarcopenia on survival and treatment-related toxicity in head and neck cancer: a narrative review of current evidence and future perspectives

PURPOSE

The purpose of this article is to provide an up-to-date summary of sarcopenia and its clinical implications for patients with head and neck cancer (HNC).

METHODS

We conducted a literature review of recent studies investigating the prevalence of sarcopenia in HNC patients, its detection using MRI or CT scans, and its association with clinical outcomes such as disease-free and overall survival time, radiotherapy-related side effects, cisplatin toxicity, and surgical complications.

RESULTS

Sarcopenia, characterized by low skeletal muscle mass (SMM), is a prevalent condition in HNC patients and can be effectively detected using routine MRI or CT scans. Low SMM in HNC patients is associated with increased risks of shorter disease-free and overall survival times, as well as radiotherapy-related side effects such as mucositis, dysphagia, and xerostomia. In addition, cisplatin toxicity is more severe in HNC patients with low SMM, leading to higher dose-limiting toxicity and treatment interruptions. Low SMM may also predict higher risks of surgical complications in head and neck surgery. Identifying sarcopenic patients can aid physicians in better riskstratifying HNC patients for therapeutic or nutritional interventions to improve clinical outcomes.

CONCLUSIONS

Sarcopenia is a significant concern for HNC patients and can impact their clinical outcomes. Routine MRI or CT scans can effectively detect low SMM in HNC patients. Identifying sarcopenic patients can aid physicians in better risk-stratifying HNC patients for therapeutic or nutritional interventions to improve clinical outcomes. Further research is needed to explore the potential of interventions to mitigate the negative effects of sarcopenia in HNC patients.

Accurate estimation of skeletal muscle mass by comparison of computed tomographic images of the third lumbar and third cervical vertebrae in Japanese patients with oral squamous cell carcinoma

OBJECTIVES

We evaluated the accuracy of estimating the cross-sectional area (CSA) at the third lumbar vertebra (L3) based on the CSA at the third cervical vertebra (C3) using computed tomographic images, and we identified the sources of error and bias using the evaluation of absolute reliability in 89 Japanese patients with oral squamous cell carcinoma.

METHODS

Skeletal muscle CSA was measured at the C3 and L3 on pretreatment computed tomographic images. We used the CSA at the C3 to estimate CSA at the L3 in an existing prediction formula. Correlation coefficients were used to evaluate the relative reliability of the estimate, and Bland-Altman analysis and minimum detectable change (MDC) were used to evaluate its absolute reliability.

RESULTS

Estimated and actual CSAs at L3 were strongly correlated (r = 0.885, p < 0.001). The mean difference between the estimated and actual CSAs was - 1.0887 cm², the 95% confidence interval was - 4.09 to 1.91 cm² (p = 0.472), and the 95% limits of agreement were - 29.0 and 26.8 cm². The MDC at the 95% level of confidence in estimated and actual CSAs was 27.9 cm².

CONCLUSIONS

The estimation of CSA at the L3 from the existing prediction formula with the CSA at the C3 had no systematic biases, but it did have random errors. Random errors resulted from measurement errors and biological variation. Usefulness of the existing formula is limited by physical differences in populations.

Low skeletal muscle mass is predictive of dose-limiting toxicities in head and neck cancer patients undergoing low-dose weekly cisplatin chemoradiotherapy

BACKGROUND

The dose-limiting effect of CT-assessed low skeletal muscle mass (LSMM) measured at the level of the third cervical vertebra has been found in head and neck cancer patients receiving high-dose cisplatin chemoradiotherapy. The aim of this study was to investigate the predictive factors for dose-limiting toxicities (DLTs) using low-dose weekly chemoradiotherapy.

MATERIALS AND METHODS

Head and neck cancer patients receiving definite chemoradiotherapy with weekly 40 mg/m2 body surface area (BSA) cisplatin or paclitaxel 45 mg/m2 BSA and carboplatin AUC2 were consecutively included and retrospectively analysed. Skeletal muscle mass was assessed using the muscle surface at the level of the third cervical vertebra in pretherapeutic CT scans. After stratification for LSMM DLT, acute toxicities and feeding status during the treatment were examined.

RESULTS

Dose-limiting toxicity was significantly higher in patients with LSMM receiving cisplatin weekly chemoradiotherapy. For paclitaxel/carboplatin, no significance regarding DLT and LSMM could be found. Patients with LSMM had significantly more dysphagia before treatment, although feeding tube placement before treatment was equal in patients with and without LSMM.

CONCLUSIONS

LSMM is a predictive factor for DLT in head and neck patients treated with low-dose weekly chemoradiotherapy with cisplatin. For paclitaxel/carboplatin, further research must be carried out.

Prognostic Impact of Sarcopenia's Occurrence during Radiotherapy in Oropharyngeal Cancer Patients

The current study aims to profile sarcopenic condition (both at baseline and developed during treatment) in oropharyngeal carcinoma (OPC) patients treated with curative radiotherapy (RT) +/- chemotherapy and to evaluate its impact on oncological outcomes and toxicity. A total of 116 patients were included in this retrospective single-center study. Sarcopenia assessment at baseline and at 50 Gy re-evaluation CT was obtained from two different methodologies: (i) the L3-skeletal muscle index (SMI) derived from the contouring of the cross-sectional area (CSA) of the masticatory muscles (CSA-MM); and (ii) the paravertebral and sternocleidomastoid muscles at the level of the third cervical vertebra (CSA-C3). Based on L3-SMI from CSA-MM, developing sarcopenic condition during RT (on-RT sarcopenia) was associated with worse progression-free survival (PFS) (p = 0.03) on multivariable analysis and a trend of correlation with overall survival (OS) was also evident (p = 0.05). According to L3-SMI derived from CSA-C3, on-RT sarcopenia was associated with worse PFS (p = 0.0096) and OS (p = 0.013) on univariate analysis; these associations were not confirmed on multivariable analysis. A significant association was reported between becoming on-RT sarcopenia and low baseline haemoglobin (p = 0.03) and the activation of nutritional counselling (p = 0.02). No significant associations were found between sarcopenia and worse RT toxicity. Our data suggest that the implementation of prompt nutritional support to prevent the onset of sarcopenia during RT could improve oncological outcomes in OPC setting.

Evaluation of sarcopenia and sarcopenic obesity in patients affected by oral squamous cell carcinoma: A retrospective single-center study

This retrospective single-center study aimed to evaluate the relevance of sarcopenia and sarcopenic obesity as negative prognostic factors in patients with oral squamous cell carcinoma (OSCC). The study was performed on patients who underwent oral squamous cell carcinoma resection surgery. Patients' demographic and clinical variables were collected at diagnosis (sex, age, height, weight, comorbidities, smoke and alcohol consumption, HPV positivity, TNM-stage) and corrected for known prognostic factors (age, body mass index, TNM-stage). The Skeletal Muscle Mass (SMM) and the Cross-Sectional Area (CSA) on pre-treatment CT scans and Body Mass Index (BMI) were measured to assess sarcopenia and sarcopenic obesity correlated to overall survival (OS). Chi-square statistics were used to analyze the differences between the frequencies of each categorical variable with the presence or absence of sarcopenia and sarcopenic obesity. The cumulative overall survival was calculated by the Kaplan-Meier method, and the differences between curves were evaluated by the log-rank test. A Cox proportional hazard regression model was used for univariate and multivariate analysis of the overall survival. Within the limitations of the study, in this sample, sarcopenia did not seem to cause a statistically significant reduction in the overall survival in patients with oral squamous cell carcinoma (Log Rank χ2 = 3.67, p = 0.055; HR 0.996, 95% CI 0.732-1.354, p = 0.979), however, sarcopenic obesity showed a meaningful negative prognostic impact on it (Log Rank χ2 = 5.71, p = 0.017; HR 0.985, 95% CI 0.424-2.286, p = 0.972). Within the limitations of the study it seems that sarcopenic obesity, age, BMI, and TNM-stage are more relevant negative prognostic factors, influencing overall survival in surgically treated OSCC, than sarcopenia.

Sarcopenia in head and neck cancer: A scoping review

OBJECTIVES

In those undergoing treatment for head and neck cancer (HNC), sarcopenia is a strong prognostic factor for outcomes and mortality. This review identified working definitions and methods used to objectively assess sarcopenia in HNC.

METHOD

The scoping review was performed in accordance with Arksey and O'Malley's five-stage methodology and the Joanna Briggs Institute guidelines.

INFORMATION SOURCES

Eligible studies were identified using MEDLINE, Embase, Scopus, Cochrane Library, and CINAHL databases.

STUDY SELECTION

Inclusion criteria represented studies of adult HNC patients in which sarcopenia was listed as an outcome, full-text articles written in English, and empirical research studies with a quantitative design.

DATA EXTRACTION

Eligible studies were assessed using a proprietary data extraction form. General information, article details and characteristics, and details related to the concept of the scoping review were extracted in an iterative process.

RESULTS

Seventy-six studies published internationally from 2016 to 2021 on sarcopenia in HNC were included. The majority were retrospective (n = 56; 74%) and the prevalence of sarcopenia ranged from 3.8% to 78.7%. Approximately two-thirds of studies used computed tomography (CT) to assess sarcopenia. Skeletal muscle index (SMI) at the third lumbar vertebra (L3) (n = 53; 70%) was the most prevalent metric used to identify sarcopenia, followed by SMI at the third cervical vertebra (C3) (n = 4; 5%).

CONCLUSIONS

Currently, the most effective strategy to assess sarcopenia in HNC depends on several factors, including access to resources, patient and treatment characteristics, and the prognostic significance of outcomes used to represent sarcopenia. Skeletal muscle mass (SMM) measured at C3 may represent a practical, precise, and cost-effective biomarker for the detection of sarcopenia. However, combining SMM measurements at C3 with other sarcopenic parameters-including muscle strength and physical performance-may provide a more accurate risk profile for sarcopenia assessment and allow for a greater understanding of this condition in HNC.

Skeletal Muscle Mass Measurement Using Cone-Beam Computed Tomography in Patients With Head and Neck Cancer

Background and purpose

Head and neck cancer (HNC) patients usually present with malnutrition during radiotherapy, leading to loss of skeletal muscle mass (SMM) and poor clinical outcomes. CT has been used in clinical practice for measuring SMM in cancer patients. However, its clinical application for monitoring SMM is limited by the expensive price and high radiation exposure. This study aimed to investigate the feasibility of cone-beam computed tomography (CBCT) for assessing SMM and its changes in HNC patients undergoing radiotherapy.

Materials and methods

This study was divided into two parts. In part 1 (n = 32), the cross-sectional of skeletal muscle area (SMA) at the third cervical vertebra (C3) based on CBCT and computed tomography (CT) was assessed. In part 2 (n = 30), CT and CBCT were performed, and patients’ weight was measured before and at four different time points during radiotherapy. SMAs at C3 were independently identified by three senior radiation oncologists. The interobserver agreement of SMA on CBCT (SMACBCT) findings was analyzed using the intraclass correlation coefficient (ICC). One-way analysis of variance was used to evaluate the interobserver variability and statistical significance for SMA measurements. CBCT and CT measurement differences and correlations were analyzed using paired sample t-test and Pearson correlation analysis, respectively. The Krouwer variant of the Bland–Altman plot was used to analyze the agreement of SMA measurements between CBCT and CT. A simple linear regression model was used to analyze the relationship of SMA measurements between the two imaging techniques, and the equation was established. A repeated-measures ANOVA was performed to evaluate the effects and interactions between weight loss, SMA loss, and time.

Results

SMACBCT demonstrated excellent interobserver reliability; no significant difference between SMACBCT and SMA on CT (SMACT) at C3 was observed in all patients. The SMACBCT and SMACT were highly correlated (r = 0.966; 95% confidence interval = 0.955–0.975; p &lt; 0.001). Bland–Altman analysis revealed that SMACBCT was generally higher than SMACT. The predicted SMA value at C3 on CT using CBCT was similar to the actual value. Moreover, significant differences between SMA and weight loss (F =10.99, p = 0.002), groups (weight loss and SMA loss) and times (4 time points) (F = 3.93, p = 0.013), and mean percent loss over time (F = 7.618, p &lt; 0.001) were noted.

Conclusion

CBCT may be used as an alternative for CT to measure SMA in HNC patients during radiotherapy.

Measurement of Sarcopenia in Head and Neck Cancer Patients and Its Association With Frailty

In head and neck cancer (HNC) there is a need for more personalized treatment based on risk assessment for treatment related adverse events (i.e. toxicities and complications), expected survival and quality of life. Sarcopenia, defined as a condition characterized by loss of skeletal muscle mass and function, can predict adverse outcomes in HNC patients. A review of the literature on the measurement of sarcopenia in head and neck cancer patients and its association with frailty was performed. Skeletal muscle mass (SMM) measurement only is often used to determine if sarcopenia is present or not. SMM is most often assessed by measuring skeletal muscle cross-sectional area on CT or MRI at the level of the third lumbar vertebra. As abdominal scans are not always available in HNC patients, measurement of SMM at the third cervical vertebra has been developed and is frequently used. Frailty is often defined as an age-related cumulative decline across multiple physiologic systems, with impaired homeostatic reserve and a reduced capacity of the organism to withstand stress, leading to increased risk of adverse health outcomes. There is no international standard measure of frailty and there are multiple measures of frailty. Both sarcopenia and frailty can predict adverse outcomes and can be used to identify vulnerable patients, select treatment options, adjust treatments, improve patient counselling, improve preoperative nutritional status and anticipate early on complications, length of hospital stay and discharge. Depending on the definitions used for sarcopenia and frailty, there is more or less overlap between both conditions. However, it has yet to be determined if sarcopenia and frailty can be used interchangeably or that they have additional value and should be used in combination to optimize individualized treatment in HNC patients.

Impact of sarcopenia on acute radiation-induced toxicity in head and neck cancer patients

BACKGROUND AND PURPOSE

Sarcopenia is related to late radiation-induced toxicities and worse survival in head and neck cancer (HNC) patients. This study tested the hypothesis that sarcopenia improves the performance of current normal tissue complication probability (NTCP) models of radiation-induced acute toxicity in HNC patients.

MATERIAL/METHODS

This was a retrospective analysis in a prospective cohort of HNC patients treated from January 2007 to December 2018 with (chemo)radiotherapy. Planning CT-scans were used for evaluating skeletal muscle mass. Characteristics of sarcopenic and non-sarcopenic patients were compared. The impact of sarcopenia was analysed by adding sarcopenia to the linear predictors of current NTCP models predicting physician- and patient-rated acute toxicities.

RESULTS

The cut-off values of sarcopenia in the study population (n=977) were established at skeletal muscle index <42.0 cm2/m2 (men) and <31.2 cm2/m2 (women), corresponding to the lowest sex-specific quartile. Compared to non-sarcopenic patients, sarcopenic patients were more frequently smokers (61% vs. 48%, p<0.001), had more often advanced stage of disease (stage III-IV, p=0.004), higher age (67 vs. 63 years, p<0.001) and experienced more pretreatment complaints, such as dysphagia (grade ≥2, p<0.001). Sarcopenia remained statistically significant, next to the linear predictor, only for physician-rated grade ≥3 dysphagia (week 3-6 during RT, p<0.01). However, sarcopenia did not improve the performance of these NTCP models (p>0.99).

CONCLUSION

Sarcopenia in HNC patients was an independent prognostic factor for radiation-induced physician-rated acute grade ≥3 dysphagia, which might be explained by its impact on swallowing muscles. However, addition of sarcopenia did not improve the NTCP model performance.

Establishment and Validation of Pre-Therapy Cervical Vertebrae Muscle Quantification as a Prognostic Marker of Sarcopenia in Patients With Head and Neck Cancer

Background

Sarcopenia is prognostic for survival in patients with head and neck cancer (HNC). However, identification of this high-risk feature remains challenging without computed tomography (CT) imaging of the abdomen or thorax. Herein, we establish sarcopenia thresholds at the C3 level and determine if C3 sarcopenia is associated with survival in patients with HNC.

Methods

This retrospective cohort study was conducted in consecutive patients with a squamous cell carcinoma of the head and neck with cross-sectional abdominal or neck imaging within 60 days prior to treatment. Measurement of cross-sectional muscle area at L3 and C3 levels was performed from CT imaging. Primary study outcome was overall survival.

Results

Skeletal muscle area at C3 was strongly correlated with the L3 level in both men (n = 188; r = 0.77; p < 0.001) and women (n = 65; r = 0.80; p < 0.001), and C3 sarcopenia thresholds of 14.0 cm²/m² (men) and 11.1 cm²/m² (women) were best predictive of L3 sarcopenia thresholds. Applying these C3 thresholds to a cohort of patients with neck imaging alone revealed that C3 sarcopenia was independently associated with reduced overall survival in men (HR = 2.63; 95% CI, 1.79, 3.85) but not women (HR = 1.18, 95% CI, 0.76, 1.85).

Conclusions

This study identifies sarcopenia thresholds at the C3 level that best predict L3 sarcopenia in men and women. In HNC, C3-defined sarcopenia is associated with poor survival outcomes in men, but not women, suggesting sarcopenia may differentially affect men and women with HNC.

Validation of skeletal muscle mass assessment at the level of the third cervical vertebra in patients with head and neck cancer

BACKGROUND

Low skeletal muscle mass (SMM) is associated with adverse outcomes. SMM is often assessed at the third lumbar vertebra (L3) on abdominal imaging. Abdominal imaging is not routinely performed in patients with head and neck cancer (HNC). We aim to validate SMM measurement at the level of the third cervical vertebra (C3) on head and neck imaging.

MATERIAL AND METHODS

Patients with pre-treatment whole-body computed tomography (CT) between 2010 and 2018 were included. Cross-sectional muscle area (CSMA) was manually delineated at the level of C3 and L3. Correlation coefficients and intraclass correlation coefficients (ICCs) were calculated. Cohen's kappa was used to assess the reliability of identifying a patient with low SMM.

RESULTS

Two hundred patients were included. Correlation between CSMA at the level of C3 and L3 was good (r = 0.75, p < 0.01). Using a multivariate formula to estimate CSMA at L3, including gender, age, and weight, correlation improved (r = 0.82, p < 0.01). The agreement between estimated and actual CSMA at L3 was good (ICC 0.78, p < 0.01). There was moderate agreement in the identification of patients with low SMM based on the estimated lumbar skeletal muscle mass index (LSMI) and actual LSMI (Cohen's κ: 0.57, 95%CI 0.45-0.69).

CONCLUSIONS

CSMA at C3 correlates well with CSMA at L3. There is moderate agreement in the identification of patients with low SMM based on the estimated lumbar SMI (based on measurement at C3) and actual LSMI.

Prognostic Role of Preoperative Sarcopenia Evaluation of Cervical Muscles with Long-Term Outcomes of Patients with Oral Squamous Cell Carcinoma

Accumulating evidence has shown that sarcopenia in patients with oral squamous cell carcinoma (OSCC) is at a risk of poor prognosis. There is no universal consensus on how to assess sarcopenia in patients with OSCC in daily practice. It is important to validate the usefulness of sarcopenia assessment from cervical muscles, which are frequently used in routine clinical practice in patients with OSCC. In this study, we investigated whether preoperative lumbar (L3) skeletal muscle mass and adiposity in OSCC patients were associated with cervical (C3) skeletal muscle mass and adiposity from CT measurements. We also investigated whether skeletal muscle mass and adiposity in the C3 muscles were associated with survival rates in patients with OSCC. We demonstrated that both the quality and quantity of muscle between the C3 and L3 levels were positively correlated with each other. We also demonstrated that the survival rates in patients with low sternocleidomastoid muscle mass index, high processus spinosus muscle-intramuscular adipose tissue content, and the combination of both were significantly lower than those in the controls. These results suggest that the assessment of sarcopenia from multiple neck muscles by preoperative CT measurements may be useful in predicting the prognosis of patients with OSCC.

The efficacy of immunonutrition in improving tolerance to chemoradiotherapy in patients with head and neck cancer, receiving nutritional counseling: study protocol of a randomized, open-label, parallel group, bicentric pilot study

Background:

Nutritional support, including nutritional counseling and oral nutritional supplements (ONSs), has been recommended at the earliest opportunity in head and neck (H&N) cancer patients. The limited available evidence on the efficacy of immunonutrition during chemoradiotherapy (CT-RT) in H&N cancer patients is positive with regard to some secondary endpoints, but is still scanty, particularly with regard to toxicity and treatment tolerance. We hypothesize that early systematic provision of ONSs with a high-protein–high-calorie mixture containing immunonutrients (Impact) compared to standard high-calorie–high-protein nutritional blends, in addition to nutritional counseling, may be beneficial to patients with H&N cancer during CT-RT. Hence, we designed the present study to evaluate the efficacy, in terms of treatment tolerance, toxicity and response, body weight, body composition, protein-calorie intake, quality of life (QoL), fatigue, muscle strength and immunological profile of the early systematic provision of ONSs enriched in immunonutrients compared to isonitrogenous standard blends, in H&N cancer patients undergoing CT-RT.

Methods:

This is a pragmatic, bicentric, randomized (1:1), parallel-group, open label, controlled, pilot clinical trial.

Discussion:

Many efforts are still to be taken to improve the efficacy of nutritional support in oncology. Immunonutrition represents a promising approach also in H&N cancer patients, but the evidence on its efficacy in improving clinical outcomes during CT-RT is still inconclusive. The present pilot study, which guarantees the early provision of nutritional assessment and support to all the enrolled patients in accordance with the recent guidelines and recommendations, could represent one of the first proofs of the clinical effectiveness of early oral immunonutrition in cancer patients undergoing CT-RT and could stimulate further large randomized trials, potentially resulting in the improvement of supportive care quality.

Trial registration:

This study is registered on ClinicalTrials.gov Identifier: NCT04611113.

Evaluation of Sarcopenia in Older Patients Undergoing Head and Neck Cancer Surgery

OBJECTIVES/HYPOTHESIS

Sarcopenia is a hallmark of aging and its identification may help predict adverse postoperative events in patients undergoing head and neck surgery. The study objective was to assess the relationship between sarcopenia and postoperative complications and length of stay in patients undergoing major head and neck cancer surgery.

STUDY DESIGN

Prospective cohort study.

METHODS

A prospective cohort study was performed of patients 50 years and older undergoing major head and neck surgery. Sarcopenia was defined as low muscle mass (determined by neck muscle cross-sectional imaging) with either low muscle strength (grip strength) or low muscle performance (timed walk test). Logistic regression was applied on binary outcomes, and linear regression was used for log-transformed length of hospital stay (LOS). Univariate and multivariate analyses were performed.

RESULTS

Of the 251 patients enrolled, pre-sarcopenia was present in 34.9% (n = 87) and sarcopenia in 15.6% (n = 39) of patients. Patients with sarcopenia were more likely to be older (P = .001), female (P = .001), have a lower body mass index (P = .001), and lower preoperative hemoglobin (P < .001). On univariate analysis, the presence and severity of sarcopenia was associated with the development of medical complications (P = .029), higher grade of complications (P = .032), LOS (P = .015), and overall survival (P = .001). On multivariate analysis, sarcopenia was associated with a longer LOS (β = 0.32 [95% CI: 0.19-0.45], P < .001) and worse overall survival (HR = 2.21 [95% CI: 1.01-4.23], P = .017).

CONCLUSIONS

Sarcopenia may aid in the prediction of prolonged hospital stay and death in patients who are candidates for major head and neck surgery.

LEVEL OF EVIDENCE

3 Laryngoscope, 2021.

Masticatory muscle index for indicating skeletal muscle mass in patients with head and neck cancer

BACKGROUND

A typical assessment for sarcopenia involves the use of abdominal computed tomography (CT) for calculating the skeletal muscle index (SMI) at the level of the third lumbar vertebra (L3). However, abdominal CT is not regularly performed on patients with head and neck cancer (HNC). We investigated whether masticatory SMI (M-SMI) measurements based on head and neck CT scans can be used to conduct sarcopenia assessments by evaluating whether M-SMI is correlated with L3-SMI.

METHODS

Abdominal and head and neck CT images of patients with trauma (n = 50) and HNC (n = 52) were analyzed retrospectively. Both manual delineation and threshold selection methods were used to measure cross-sectional areas of masticatory muscles and those of muscles at the L3 level on CT images. Muscle cross-sectional areas were normalized to height squared to calculate SMI, and a multivariate linear regression model was established to evaluate the correlation between the M-SMI and L3-SMI. Receiver operating characteristic curve analysis was used to assess the ability of the M-SMI to identify sarcopenia, and Cox logistic regression was used to identify predictors of sarcopenia.

RESULTS

Patients with HNC had significantly lower M-SMI and L3-SMI than did patients with trauma (p = 0.011 and 0.03, respectively). M-SMI and L3-SMI were strongly correlated (r = 0.901, p < 0.001); in the multivariate model that included sex, the correlation was stronger (r = 0.913, p < 0.001). The associations of sarcopenia with a lower M-SMI (p < 0.001), male sex (p = 0.028), and advanced age (p = 0.011) were significant, and multivariate logistic analysis demonstrated that an M-SMI of <5.5 was an independent predictor of sarcopenia (hazard ratio = 5.37, p < 0.001).

CONCLUSIONS

M-SMI assessment in routine head and neck CT scans is feasible and can be an alternative for detecting sarcopenia in patients with HNC.

A Deep Learning Model to Automate Skeletal Muscle Area Measurement on Computed Tomography Images

BACKGROUND

Muscle wasting (Sarcopenia) is associated with poor outcomes in cancer patients. Early identification of sarcopenia can facilitate nutritional and exercise intervention. Cross-sectional skeletal muscle (SM) area at the third lumbar vertebra (L3) slice of a computed tomography (CT) image is increasingly used to assess body composition and calculate SM index (SMI), a validated surrogate marker for sarcopenia in cancer. Manual segmentation of SM requires multiple steps, which limits use in routine clinical practice. This project aims to develop an automatic method to segment L3 muscle in CT scans.

METHODS

Attenuation correction CTs from full body PET-CT scans from patients enrolled in two prospective trials were used. The training set consisted of 66 non-small cell lung cancer (NSCLC) patients who underwent curative intent radiotherapy. An additional 42 NSCLC patients prescribed curative intent chemo-radiotherapy from a second trial were used for testing. Each patient had multiple CT scans taken at different time points prior to and post- treatment (147 CTs in the training and validation set and 116 CTs in the independent testing set). Skeletal muscle at L3 vertebra was manually segmented by two observers, according to the Alberta protocol to serve as ground truth labels. This included 40 images segmented by both observers to measure inter-observer variation. An ensemble of 2.5D fully convolutional neural networks (U-Nets) was used to perform the segmentation. The final layer of U-Net produced the binary classification of the pixels into muscle and non-muscle area. The model performance was calculated using Dice score and absolute percentage error (APE) in skeletal muscle area between manual and automated contours.

RESULTS

We trained five 2.5D U-Nets using 5-fold cross validation and used them to predict the contours in the testing set. The model achieved a mean Dice score of 0.92 and an APE of 3.1% on the independent testing set. This was similar to inter-observer variation of 0.96 and 2.9% for mean Dice and APE respectively. We further quantified the performance of sarcopenia classification using computer generated skeletal muscle area. To meet a clinical diagnosis of sarcopenia based on Alberta protocol the model achieved a sensitivity of 84% and a specificity of 95%.

CONCLUSIONS

This work demonstrates an automated method for accurate and reproducible segmentation of skeletal muscle area at L3. This is an efficient tool for large scale or routine computation of skeletal muscle area in cancer patients which may have applications on low quality CTs acquired as part of PET/CT studies for staging and surveillance of patients with cancer.

Low skeletal muscle mass predicts frailty in elderly head and neck cancer patients

Purpose

Treatment of head and neck cancer (HNC) carries a high risk of adverse outcomes in patients, especially in frail elderly. Therefore, it is important to identify patients in which treatment benefits outweigh the risk of any adverse outcome. Although the comprehensive geriatric assessment (CGA) identifies frailty, it is a time-consuming tool. Instead, measurement of skeletal muscle mass and strength (sarcopenia) may be a promising and time-efficient biomarker for frailty. The aim of this study was to examine the association between sarcopenia and frailty assessment tools, such as the CGA, Fried criteria and the Groningen Frailty Indicator (GFI).

Methods

A retrospective study was performed in elderly patients (≥ 70-years) with HNC. Sarcopenia was defined as the combination of reduced handgrip strength (HGS) and low skeletal muscle mass (SMM), according to the EWGSOP-2 criteria. SMM was measured on routinely available diagnostic imaging and corrected height: skeletal muscle index (SMI). A CGA was performed by a geriatrician. Frailty screening was performed using the GFI and the Fried criteria.

Results

In total, 73 patients were included of which 33 were men (45.2%) and 40 women (54.8%). Frail patients diagnosed by CGA were more likely to have low SMI, sarcopenia, more comorbidities and were at high risk for malnutrition (all p < 0.05). In multivariate regression analysis, the only significant predictor for frailty diagnosed by CGA was SMI (OR 0.9, p < 0.01) independent of comorbidity and muscle strength.

Conclusion

Low SMI and sarcopenia are associated with frailty in elderly HNC patients. Low SMI predicts frailty and is a promising time-efficient and routinely available tool for clinical practice.

The use of alternate vertebral levels to L3 in computed tomography scans for skeletal muscle mass evaluation and sarcopenia assessment in patients with cancer: a systematic review

Body composition measurement using diagnostic computed tomography (CT) scans has emerged as a method to assess sarcopenia (low muscle mass) in oncology patients. Assessment of skeletal muscle mass (SMM) using the cross-sectional area of a single vertebral slice (at lumbar L3) in a CT scan is correlated with whole-body skeletal muscle volume. This method is used to assess CT-defined sarcopenia in patients with cancer, with low SMM effecting outcomes. However, as diagnostic scans are based on tumour location, not all include L3. We evaluated the evidence for the use of alternate vertebral CT slices for SMM evaluation when L3 is not available. Five electronic databases were searched from January 1996 to April 2020 for studies using CT scan vertebral slices above L3 for SM measurement in adults with cancer (solid tumours). Validation with whole-body SMM, rationale for the chosen slice and sarcopenia cut-off values were investigated. Thirty-two studies were included, all retrospective and cross-sectional in design. Cervical, thoracic and lumbar slices were used (from C3 to L1), with no validation of whole-body SMM using CT scans. Alternate slices were used in lung, and head and neck cancer patients. Sarcopenia cut-off values were reported in 75 % of studies, with differing methods, with or without sex-specific values, and a lack of consensus. Current evidence is inadequate to provide definitive recommendations for alternate vertebral slice use for SMM evaluation in cancer patients. Variation in sarcopenia cut-offs warrants more robust investigation, in order for risk stratification to be applied to all patients with cancer.

The Association Between Computed Tomography-Defined Sarcopenia and Outcomes in Adult Patients Undergoing Radiotherapy of Curative Intent for Head and Neck Cancer: A Systematic Review

BACKGROUND

Computed tomography (CT)-defined sarcopenia is a demonstrated poor prognostic factor in patients with cancer; however, its influence on outcomes for patients with head and neck cancer (HNC) has not been established.

OBJECTIVE

This review synthesizes current knowledge regarding the association between CT-defined sarcopenia and outcomes for adult patients undergoing radiotherapy with or without other treatment modalities of curative intent for HNC.

METHODS

A systematic review of the literature published between January 2004 and June 2019 was conducted in Medline, Embase, Cumulative Index of Nursing and Allied Health Literature, Allied and Complementary Medicine Database, and PubMed. Empirical studies of CT-defined sarcopenia in adult patients (≥18 years) with HNC who had completed radiotherapy of curative intent with or without other treatment modalities were included. Outcomes reported included survival, prolonged radiotherapy breaks, and chemotherapy toxicity. Study quality was assessed using the American Academy of Nutrition and Dietetics Quality Criteria Checklist. Synthesis of outcomes and clinical relevance was performed using the Grading of Recommendations Assessment, Development, and Evaluation system.

RESULTS

Of 11 studies (n = 3,461) identified, 3 were positive and 8 were neutral quality. Studies were heterogeneous in HNC diagnosis, ethnicity, definition of sarcopenia, CT level of evaluation, and skeletal muscle index threshold value. Eight definitions for sarcopenia were identified with pretreatment prevalence of 6.6% to 70.9% and posttreatment prevalence of 12.4% to 65.8%. Pretreatment sarcopenia was independently associated with reduced: overall survival (OS), 3-year OS, disease-free survival, prolonged radiotherapy breaks, and chemotherapy-related toxicities. Posttreatment sarcopenia was independently associated with reduced OS and 5-year OS. The overall certainty of evidence according to Grading of Recommendations Assessment, Development and Evaluation criteria was low for OS; 3-year, 5-year, and 10-year OS; locoregional control; locoregional failure; progression-free survival; metastasis-free survival, disease-specific survival; and disease-free survival and very low for distant metastasis, prolonged radiotherapy breaks, and chemotherapy toxicity-related outcomes.

CONCLUSIONS

CT-defined sarcopenia is independently associated with reduced OS and treatment completion in patients with HNC and holds a clinically meaningful prognostic value. The certainty of the evidence requires strengthening with further research. Understanding the impact sarcopenia has on outcomes for these patients has implications for informing potential nutrition interventions and facilitating individualized care.

Prognostic Value of Third Cervical Vertebra Skeletal Muscle Index in Oral Cavity Cancer: A Retrospective Study

OBJECTIVES/HYPOTHESIS

To assess the prognostic utility of third cervical vertebra skeletal muscle index (C3 SMI) measured from preoperative head and neck computed tomography (CT) in patients with oral cavity squamous cell carcinoma (OSCC).

STUDY DESIGN

Retrospective study.

METHODS

We retrospectively reviewed the medical records of 125 patients who underwent primary curative surgery for OSCC between 2009 and 2017. Their preoperative C3 SMI was calculated by adjusting the C3 cross-sectional area delineated on head and neck CT by body height squared. A Cox proportional hazard model was employed to identify prognostic factors, and a novel nomogram based on C3 SMI was built for individualized survival prediction.

RESULTS

In Kaplan-Meier analysis, high C3 SMI was significantly associated with higher 5-year disease-free survival (DFS) and overall survival (OS) than low C3 SMI. In multivariate analysis, low C3 SMI was an independent risk factor for poor DFS and OS (hazard ratio [HR]: 2.197; 95% confidence interval [CI], 1.170-4.512, P = .032 and HR: 2.143; 95% CI, 1.232-3.728, P = .007, respectively). The concordance-index (C-index) of the nomogram based on C3 SMI was 0.814 for OS, higher than that of the nomogram based on tumor-node-metastasis staging alone (C-index = 0.731).

CONCLUSIONS

C3 SMI might serve as a novel prognosticator in OSCC patients undergoing curative surgery, and the nomogram based on C3 SMI might provide good prognostic discrimination ability for individualized survival prediction.

LEVEL OF EVIDENCE

IV Laryngoscope, 131:E2257-E2265, 2021.

Skeletal muscle mass and sarcopenia can be determined with 1.5-T and 3-T neck MRI scans, in the event that no neck CT scan is performed

Objectives

Cross-sectional area (CSA) measurements of the neck musculature at the level of third cervical vertebra (C3) on CT scans are used to diagnose radiological sarcopenia, which is related to multiple adverse outcomes in head and neck cancer (HNC) patients. Alternatively, these assessments are performed with neck MRI, which has not been validated so far. For that, the objective was to evaluate whether skeletal muscle mass and sarcopenia can be assessed on neck MRI scans.

Methods

HNC patients were included between November 2014 and November 2018 from a prospective data-biobank. CSAs of the neck musculature at the C3 level were measured on CT (n = 125) and MRI neck scans (n = 92 on 1.5-T, n = 33 on 3-T). Measurements were converted into skeletal muscle index (SMI), and sarcopenia was defined (SMI < 43.2 cm²/m²). Pearson correlation coefficients, Bland–Altman plots, McNemar test, Cohen’s kappa coefficients, and interclass correlation coefficients (ICCs) were estimated.

Results

CT and MRI correlated highly on CSA and SMI (r = 0.958–0.998, p < 0.001). The Bland–Altman plots showed a nihil mean ΔSMI (− 0.13–0.44 cm²/m²). There was no significant difference between CT and MRI in diagnosing sarcopenia (McNemar, p = 0.5–1.0). Agreement on sarcopenia diagnosis was good with κ = 0.956–0.978 and κ = 0.870–0.933, for 1.5-T and 3-T respectively. Observer ICCs in MRI were excellent. In general, T2-weighted images had the best correlation and agreement with CT.

Conclusions

Skeletal muscle mass and sarcopenia can interchangeably be assessed on CT and 1.5-T and 3-T MRI neck scans. This allows future clinical outcome assessment during treatment irrespective of used modality.

Key Points

• Screening for low amount of skeletal muscle mass is usually measured on neck CT scans and is highly clinical relevant as it is related to multiple adverse outcomes in head and neck cancer patients.

• We found that skeletal muscle mass and sarcopenia determined on CT and 1.5-T and 3-T MRI neck scans at the C3 level can be used interchangeably.

• When CT imaging of the neck is missing for skeletal muscle mass analysis, patients can be assessed with 1.5-T or 3-T neck MRIs.

Supplementary Information

The online version contains supplementary material available at 10.1007/s00330-020-07440-1.

Sarcopenia and Systemic Inflammation Synergistically Impact Survival in Oral Cavity Cancer

OBJECTIVES

Sarcopenia and systemic inflammation can affect survival of advanced-stage oral squamous cell carcinoma (OSCC) patients; however, their reciprocal associations with survival outcomes are yet to be investigated.

STUDY DESIGN

Retrospective review at a tertiary cancer center.

METHODS

Patients with stage III-IVB OSCC that underwent surgery and (chemo)radiotherapy at our institution between 2010 and 2015 were reviewed. Skeletal muscle index (SMI) was assessed using computed tomography scans at the C3 vertebra. Sarcopenia was defined at the lowest sex-specific tertile for SMI. Systemic inflammation was estimated using the modified Glasgow prognostic score (mGPS), which ranges from 0 to 2 based on serum C-reactive protein and albumin levels. The predictors of overall survival (OS) were evaluated using Cox regression models.

RESULTS

A total of 174 patients were included in the study. The cut-off values for sarcopenia were set at SMI <52.4 cm² /m² (men) and < 36.2 cm² /m² (women) corresponding to the lowest sex-specific tertile. An mGPS 1-2 was independently associated with sarcopenia (odds ratio: 2.05; 95% confidence interval: 1.06-3.97; P = .03). On multivariate analysis for OS, sarcopenia and mGPS 1-2 independently predicted OS (hazard ratio: 2.12; 95% confidence interval: 1.17-3.85; P = .01 and hazard ratio: 7.85; 95% confidence interval: 3.7-16.65; P < .001, respectively). Patients with both sarcopenia and mGPS 1-2 (vs. neither) had worse OS (hazard ratio: 16.80; 95% confidence interval: 6.01-46.99; P < .001).

CONCLUSIONS

Sarcopenia and systemic inflammation may exert a negative synergistic prognostic impact in advanced-stage OSCC patients.

LEVEL OF EVIDENCE

4 Laryngoscope, 131:E1530-E1538, 2021.

Sarcopenia measured with handgrip strength and skeletal muscle mass to assess frailty in older patients with head and neck cancer

OBJECTIVES

Patients with head and neck cancer (HNC) have a risk of sarcopenia which is associated with adverse health outcomes. Frailty is also associated with adverse outcomes and is diagnosed by a comprehensive geriatric assessment (CGA). Because a CGA is time-consuming and not all patients benefit from it, frailty screening questionnaires are used to select patients for CGA. Sarcopenia measurement may be a biomarker for frailty. Our objective was to examine the association between sarcopenia and a frailty screening questionnaire.

MATERIALS AND METHODS

In this single-center retrospective study, 150 patients (≥ 60-years old) with HNC were reviewed. Sarcopenia was defined as the combination of reduced handgrip strength and loss of skeletal muscle mass, calculated as skeletal muscle index (SMI), according to the EWGSOP-criteria. Frailty screening was performed using the Geriatrics 8 (G8) questionnaire.

RESULTS

The 150 patients included 101 men and 49 women. Frail patients were more likely to be sarcopenic at diagnosis. G8 frailty score showed a significant though weak correlation with SMI. Univariate regression analysis with frailty as a dependent variable distinguished comorbidity score, handgrip strength, SMI, and sarcopenia as significant. These variables were subjected to a multivariate analysis in which comorbidity score and SMI remained significant.

CONCLUSION

There is an association between sarcopenia and the G8 frailty screening questionnaire. Therefore, sarcopenia measurement could be interchangeable with the G8 frailty screening questionnaire. Further research should compare the gold standard for frailty, i.e. CGA, with sarcopenia.

Low Skeletal Muscle Mass Is a Risk Factor for Aspiration Pneumonia During Chemoradiotherapy

OBJECTIVES

This study aimed to investigate whether pretreatment skeletal muscle mass index (SMI) is a predictor for the risk of aspiration pneumonia and to explore the relationship between low SMI and overall survival (OS) in patients with head and neck squamous cell carcinoma (HNSCC) receiving chemoradiotherapy (CRT).

METHODS

We retrospectively reviewed the data of patients with HNSCC who received CRT during 2010-2019. Patients received a combination of radiotherapy and cisplatin-based chemotherapy (3 cycles of 80 mg/m² cisplatin on days 1, 22, and 43). Aspiration pneumonia were defined as the presence of both subjective and objective symptoms. Kaplan-Meier curves were generated to analyze survival.

RESULTS

Among the 159 patients, 36 (22.6%) developed aspiration pneumonia during treatment. Median SMI in patients with and without pneumonia was 12.4 cm² /m² (9.0-20.7) and 13.6 cm² /m² (8.1-19.7), respectively (P < .01). Multivariate logistic regression revealed that SMI was the only independent predictor of aspiration pneumonia (P = .0026). Mean OS was significantly shorter for patients with low SMI than for patients with normal SMI (66.9 months vs. 92.7 months, P = .001).

CONCLUSION

Pretreatment low SMI predicts development of aspiration pneumonia and is a strong negative prognostic predictor for OS in patients with HNSCC undergoing CRT. Supportive treatment can be provided to patients at high risk of a low SMI. This study is the first to report SMI as a prognostic predictor in HNSCC. Laryngoscope, 131:E1524-E1529, 2021.

Comparison of quantity and quality of muscle as clinical prognostic markers in patients undergoing carotid endarterectomy

OBJECTIVE

The measurement of muscle area is routinely utilised in determining sarcopaenia in clinical research. However, this simple measure fails to factor in age-related morphometric changes in muscle quality such as myosteatosis. The aims of this study were to: firstly investigate the relationship between the masseter area (quantity) and density (quality), and secondly compare the prognostic clinical relevance of each parameter.

METHODS

Cross-sectional CT head scans were reviewed for patients undergoing carotid endarterectomy. The masseter was manually delineated and the total masseter area (TMA) and the total masseter density (TMD) calculated. Measurements of the TMA were standardised against the cranial circumference. Observer variability in measurements were assessed using Bland-Altman plots. The relationship between TMA and TMD were evaluated using Pearson's correlation and linear regression analyses. The prognostic value of TMA and TMD were assessed using receiver operator curves and cox-regression analyses.

RESULTS

In total, 149 patients who had undergone routine CT scans prior to a carotid endarterectomy were included in this study. No significant observer variations were observed in measuring the TMA, TMD and cranium circumference. There was a significant positive correlation between standardised TMA and TMD (Pearson's correlation 0.426, p < 0.001, adjusted R-squared 17.6%). The area under the curve for standardised TMA in predicting all-cause mortality at 30 days, 1 year and 4 years were higher when compared to TMD. Standardised TMA was only predictive of post-operative overall all-cause mortality (adjusted hazard ratio 0.38, 95% confidence interval 0.15-0.97, p = 0.043).

CONCLUSION

We demonstrate a strong relationship between muscle size and density. However, the utilisation of muscle area is likely to be limited in routine clinical care.

ADVANCES IN KNOWLEDGE

Our study supports the utilisation of muscle area in clinical sarcopaenia research. We did not observe any additional prognostic advantage in quantifying muscle density.

The predictive and prognostic value of low skeletal muscle mass for dose-limiting toxicity and survival in head and neck cancer patients receiving concomitant cetuximab and radiotherapy

Purpose

This study aims to investigate the predictive value of low skeletal muscle mass (SMM) for cetuximab dose-limiting toxicity (DLT) and its prognostic value in head and neck squamous cell carcinoma (HNSCC) patients treated with concomitant cetuximab and radiotherapy.

Methods

Patients diagnosed with HNSCC and treated with primary or adjuvant concomitant cetuximab and radiotherapy were included. Clinical and demographic variables were retrospectively retrieved and SMM was measured at the level of the third cervical vertebra using pre-treatment diagnostic computed tomography or magnetic resonance imaging. An optimal cut-off value for low SMM was determined based on the lowest log-likelihood associated with cetuximab DLT. A multivariate linear regression model was used to determine predictive factors for cetuximab DLT. The prognostic value of low SMM for disease-free and overall survival was analyzed using Kaplan–Meier curves.

Results

The optimal cut-off value for low SMM as a predictor of cetuximab DLT was an LSMI ≤ 45.2 cm²/m². Of the 91 included patients, 74.7% had low SMM and 30.8% experienced cetuximab DLT. At multivariate analysis, low SMM had no predictive value for DLT (OR 0.83; 95% CI 0.27–2.56; p = 0.74). The Kaplan–Meier curve demonstrated that patients with low SMM had significantly lower overall survival (Log Rank χ² = 5.87; p = 0.02).

Conclusion

Low SMM is highly prevalent in HNSCC patients treated with concomitant cetuximab and radiotherapy. Low SMM has no predictive value for cetuximab DLT in HNSCC patients. Low SMM is probably not a prognostic factor for overall survival in highly selected HNSCC patients treated with concomitant cetuximab and radiotherapy and unfit for platin-based chemotherapy.

Radiologically Defined Sarcopenia Affects Survival in Head and Neck Cancer: A Meta-Analysis

OBJECTIVE

To determine whether radiologically defined sarcopenia at the C3 or L3 level as measured by computed tomography or magnetic resonance imaging is prognostic of overall survival (OS) in head and neck cancers (HNCs).

METHODS

Literature searches of PubMed, Embase, and Scopus were conducted on July 12, 2019, to include articles written in the English language with no constraints on publication date. To be included in the analysis, articles had to report the prognostic impact of skeletal muscle mass measured radiologically at the C3 or L3 vertebral level in HNC patients; hazard ratios (HRs) for OS; 95% confidence intervals (CIs); be from a clinical trial, cohort, or case-control study; and have English full-text availability. Articles were reviewed in consensus by two reviewers, with disagreements reviewed by a third reviewer. Preferred Reporting Items for Systematic Reviews and Meta-Analyses and Meta-analysis Of Observational Studies in Epidemiology Checklist guidelines were used for reporting. Study quality assessment was performed using Quality In Prognosis Studies tool. The random-effects DerSimonian and Laird method was used for meta-analysis.

RESULTS

Ten articles, nine retrospective and one prospective, were included in this meta-analysis (n = 2,181 patients). Significant differences were found in OS for HNC patients with sarcopenia (HR = 1.98; 95% CI: 1.64-2.39; P < .00001). No heterogeneity was detected in either the overall or subgroup analyses.

CONCLUSIONS

Radiologically defined sarcopenia is a negative predictor of OS in patients with HNC. Early detection of sarcopenia in cancer patients may help guide nutritional and adjuvant support to improve treatment outcomes.

LEVEL OF EVIDENCE

NA Laryngoscope, 131:333-341, 2021.

Skeletal muscle mass is an imaging biomarker for decreased survival in patients with oropharyngeal squamous cell carcinoma

OBJECTIVES

Low skeletal muscle mass (SMM) and sarcopenic obesity (co-presence of low SMM and obesity) are emerging prognosticators in oncology, but the prevalence and prognostic value in oropharyngeal squamous cell carcinoma (OPSCC) is not yet known.

MATERIALS AND METHODS

Patients with OPSCC, curative treatment intention and pre-treatment diagnostic imaging of the head and neck area were included. Patients with unknown HPV-status, palliative treatment intention or unavailable imaging were excluded, Relevant demographic and clinical characteristics were collected between 2009 and 2016. Patients were stratified into a low-, intermediate-, and high-risk group according to HPV-status, amount of pack-years, tumor and nodal stage. SMM was radiologically measured and cutoff values were determined by optimal stratification. The prognostic value of low SMM and sarcopenic obesity for overall survival (OS) and disease-free survival (DFS) was determined by Cox regression analysis and Kaplan Meier survival curves.

RESULTS

In 216 patients, low SMM and sarcopenic obesity were present in 140 (64.8%) and 13 (6.0%) patients, respectively. On multivariate analysis, stratification into a high-risk group (HPV-negative status with ≥10-pack-years or T4-stage) was a prognostic factor for OS and DFS (HR 2.93, p < 0.01) (HR 4.66, p < 0.01). Of specific interest, sarcopenic obesity was a strong negative prognostic factor for OS and DFS (HR 4.42, p < 0.01 and (HR 3.90, p < 0.05), independent from other well-known prognostic factors such as HPV-status.

CONCLUSION

Low skeletal muscle mass is highly prevalent in OPSCC patients. Sarcopenic obesity is a novel pretreatment prognosticator for OS and DFS in OPSCC and should therefore be considered in clinical decision making.

Body Composition Evaluation in Head and Neck Cancer Patients: A Review

Introduction: Head and neck cancer (HNC) patients show a high risk of malnutrition due to the lifestyle habits adopted prior to the diagnosis as well as to the compromising impact of both the anatomical location of the tumor and the treatment modalities on food intake. Weight change, measurement of skinfold thickness, biochemical parameters, bioelectrical impedance analysis (BIA), computed tomography (CT), magnetic resonance (MRI), or dual-energy x-ray absorptiometry (DXA) are available techniques to evaluate nutritional status and/or body composition in the clinical practice. Evaluating body composition alterations in HNC patients is essential to be able to offer the best therapeutical interventions. In this paper, we review the existing literature regarding body composition evaluation in HNC patients to determine, which is the most suitable method for this population, regarding availability in the day-to-day practice, patient burden, cost, sensibility, and specificity.

Methodology: A literature search for relevant papers indexed in MEDLINE, Cochrane Library and Scielo was conducted, with no publication date restriction and for all published articles until the 31 January, 2019. All the papers written in English, with interventions in humans, exclusively considering HNC patients were selected.

Results: A total of 41 studies with different methodologies were included in this review. In 15 studies BIA was the used assessment method and three of them also evaluated skinfold thickness and one was a bioelectric impedance vector analysis (BIVA). Body composition assessment was made with DXA in eight studies, one of which also included muscle biopsies. In two studies the chosen method was both BIA and DXA. CT/ positron emission tomography-CT was applied in 11 studies and one also included MRI. In two studies body composition was assessed with skinfold measurements alone and one study only used BIVA.

Conclusions: Despite the different existing body composition assessment tools, it seems that skeletal muscle mass (SMM) measurement at the level of cervical spine C3 vertebra may be a reliable method for SMM assessment as it strongly correlates with cross-sectional area measures at the level of L3 and it allows a cost-effective body composition assessment without the need for additional radiation exposure.

Diagnostic Tumor Markers in Head and Neck Squamous Cell Carcinoma (HNSCC) in the Clinical Setting

Head and neck squamous cell carcinoma (HNSCC) represents a group of tumors arising in the oral cavity, oropharynx, and larynx. Although HNSCC is traditionally associated with tobacco and alcohol consumption, a growing proportion of head and neck tumors, mainly of the oropharynx, are associated with Human Papilloma Virus (HPV). Recurrent/metastatic disease is characterized by dismal prognosis and there is an unmet need for the development of biomarkers for detection of early disease, accurate prediction of prognosis, and appropriate selection of therapy. Based on the REMARK guidelines, a variety of diagnostic and prognostic biomarkers are being evaluated in clinical trials but their clinical significance is doubtful. Herein, we will focus on biomarkers in HNSCC used in the clinical setting and we will illustrate their clinical relevance.