Bioelectrical impedance analysis as a quantitative measure of sarcopenia in head and neck cancer patients treated with radiotherapy

The effect of skeletal muscle mass on dose-limiting toxicities during (chemo)radiotherapy in patients with head and neck cancer: A systematic review and meta-analysis

Radiotherapy (RT) is a standard treatment for head and neck cancer (HNC) and chemoradiotherapy (CRT) is indicated for patients with locally advanced disease. Toxicities during treatment are common and can lead to early cessation of chemotherapy and radiotherapy (RT) interruptions, which can affect oncologic outcomes. Skeletal muscle mass (SMM) is a new biomarker to predict toxicities and overall survival. The aim of this systematic review is to provide an overview of studies towards the associations between SMM and dose limiting toxicity (DLT) and/or RT interruptions in HNC patients. A systematic literature search was conducted and yielded 270 studies. Inclusion criteria were articles published in English that investigated the effect of low SMM measured in humans with HNC on toxicities during CRT or RT. Studies that did not investigate oral cavity, oropharynx, larynx, hypopharynx, nasopharynx cancers or carcinoma of unknown primary were excluded. This led to the inclusion of 22 original studies. The prevalence of low SMM ranged from 19.7 % to 74.7 %. SMM was often assessed by measuring the cross-sectional muscle area at the level of the third cervical vertebra on computed tomography scans. Cut-off values used to categorize patients in SMM groups varied. In the meta-analyses heterogeneity was moderate (I2 = 68 % and 50 % respectively). Patients with low SMM had higher, but only borderline significant, odds of DLT during CRT (OR 1.60; 95 % CI 1.00-2.58; p = 0.0512) and RT interruptions (OR 1.89; 95 % CI 1.00-3.57; p = 0.0510) compared to patients without low SMM. To conclude, in HNC patients low SMM, defined with different methods and cut-off values, is associated with DLT and RT interruptions during (C)RT, although the difference is only borderline statistically significant.

Comparison of bioelectrical impedance analysis and computed tomography for the assessment of muscle mass in patients with gastric cancer

BACKGROUND

Low muscle mass was significantly correlated with poor clinical outcomes in cancer patients. This study aimed to compare the differences between bioelectrical impedance analysis (BIA) and computed tomography (CT) in measuring skeletal muscle mass and detecting low muscle mass in patients with gastric cancer (GC).

METHOD

This cross-sectional study included a total of 302 consecutive patients diagnosed with GC at our institution from October 2021 to March 2023. CT images were analyzed at the L3 level to obtain the cross-sectional area of skeletal muscle, which was subsequently used for calculating whole-body skeletal muscle mass via the Shen equation and skeletal muscle tissue density. BIA was utilized to measure skeletal muscle mass using the manufacturer's proprietary algorithms. Skeletal muscle mass (kg) was divided by height squared (m2) to obtain skeletal muscle index (SMI, kg/m2). Pearson's correlation coefficient was performed to assess the correlation between SMI measured by BIA and CT. The agreement between the two methods was assessed using Bland-Altman analyses. The clinically acceptable agreement was defined as the 95% limits of agreement (LOA) for the percentage bias falling within ± 10%. The area under the receiver operating characteristic curve (AUC) was used to evaluate the performance of BIA in identifying low muscle mass.

RESULTS

A total of 59 patients (19.5%) were identified as having low muscle mass based on CT analysis, whereas only 19 patients (6.3%) met the criteria for low muscle mass according to BIA analysis. BIA-measured SMI showed a strong positive correlation with CT-measured SMI in all patients (r = 0.715, P < 0.001). With Bland-Altman analysis, there was a significant mean bias of 1.18 ± 0.96 kg/m2 (95% CI 1.07-1.29, P < 0.001) between SMI measured by BIA and CT. The 95% LOA for the percentage bias ranged from -7.98 to 33.92%, which exceeded the clinically acceptable range of ± 10%. A significant difference was observed in the mean bias of SMI measured by BIA and CT between patients with and without GLIM malnutrition (1.42 ± 0.91 kg/m2 versus 0.98 ± 0.96 kg/m2, P < 0.001). The cut-off values for BIA-measured SMI in identifying low muscle mass using CT as the reference were 10.11 kg/m2 for males and 8.71 kg/m2 for females (male: AUC = 0.840, 95% CI: 0.772-0.908; female: AUC = 0.721, 95% CI: 0.598-0.843).

CONCLUSIONS

Despite a significant correlation, the values of skeletal muscle mass obtained BIA and CT cannot be used interchangeably. The BIA method may overestimate skeletal muscle mass in GC patients compared to CT, especially among those with GLIM malnutrition, leading to an underestimation of low muscle mass prevalence.

Pretreatment fat-free mass index correlates with early death in patients with head and neck squamous cell carcinoma

BACKGROUND

A significant proportion of patients with head and neck squamous cell carcinoma (HNSCC) are malnourished at diagnosis. In this study, we investigated how pretreatment body mass index (BMI) and fat-free mass index (FFMI) correlate with early death, and whether these measurements are useful markers of prognosis for risk stratification of head and neck cancer patients.

METHODS

Patients (n = 404) with newly diagnosed, curable HNSCC and WHO performance status 0-2 were prospectively included and met with a study representative before treatment initiation, as well as up to four follow-up visits. All patients provided an estimate of body weight at 6 months prior to diagnosis. Bioelectrical impedance analysis (BIA) was performed for all patients before treatment initiation.

RESULTS

Most patients had oropharyngeal (46%), oral cavity (28%), or laryngeal cancer (12%). Forty-five (11%) patients met the standardized criteria for malnutrition according to the Global Leadership Initiative on Malnutrition (GLIM) at diagnosis. FFMI at diagnosis was lower in patients who died within 6 and 12 months after the start of treatment than in patients who survived these time points (p = 0.035 and p = 0.005, respectively).

CONCLUSIONS

In this study, pretreatment FFMI was an independent prognostic factor for death within 6 and 12 months after the start of treatment in patients with HNSCC. Pretreatment BMI was not an independent risk factor for death within 6 and 12 months after treatment termination. Thus, FFMI may be useful for risk stratification of patients with head and neck cancer.

Sarcopenia Index Predicts Short-Term Prognosis of Head and Neck Squamous Cell Carcinoma

The sarcopenia index (SI), calculated as [(serum creatinine/serum cystatin C) × 100], maybe a simpler alternative for measuring muscle mass than computed tomography (CT) and bioelectrical impedance analysis (BIA). We enrolled 112 patients with head and neck cancers (HNC). The correlation of the SI with muscle surface area measured by CT (CTMSA, n = 82) and muscle mass by BIA (BIA-MM, n = 41) was tested. Cutoff values were set for SI, CTMSA, and BIA-MM. Overall survival (OS) was compared between the high- and low-SI/CTMSA/BIA-MM groups. The SI was correlated with CTMSA (r = 0.43) and BIA-MM (r = 0.52). The optimal cutoff values of SI, CTMSA, and BIA-MM were 76.1 (area under the curve [AUC] = 0.67), 129.2 (AUC = 0.59), and 46.1 (AUC = 0.62), respectively. OS was significantly lower in the low-SI group (78% at 1 year and 69% at 2 years) than in the high-SI group (94% at 1 year and 86% at 2 years; p = 0.006). There was no significant difference in OS between the low-and high-CTMSA and -BIA-MM groups. The SI, which only requires a blood sample, is a useful marker of muscle mass that correlates with short-term prognosis in patients with HNC.

Bioelectrical Impedance Analysis (BIA) for the Assessment of Body Composition in Oncology: A Scoping Review

Bioelectrical Impedance Analysis (BIA) is a reliable, non-invasive, objective, and cost-effective body composition assessment method, with high reproducibility. This scoping review aims to evaluate the current scientific and clinical evidence on BIA for body composition assessment in oncology patients, under active treatment. Literature search was conducted through MEDLINE, CINAHL, Scopus and Web of Science databases, following PRISMA-ScR Guidelines. Inclusion criteria comprised studies reporting the use of BIA for body composition evaluation in adults with cancer diagnosis. Studies including non-cancer pathology or only assessing nutritional status were excluded. This scoping review comprised a total of 36 studies: 25 were original studies including 18 prospective studies, six cross-sectional studies and one retrospective study and 11 were systematic reviews. Population size for the included original articles ranged from 18 to 1217 participants, comprising a total of 3015 patients with cancer with a mean baseline Body Mass Index (BMI) ranging from 20.3 to 30.0 kg/m2 and mean age ranging between 47 and 70 years. Review articles included a total of 273 studies, with a total of 78,350 participants. The current review considered studies reporting patients with head and neck cancer (HNC) (n = 8), breast cancer (BC) (n = 4), esophageal cancer (EC) (n = 2), liver cancer (n = 2), pancreatic cancer (PC) (n = 3), gastric cancer (GC) (n = 3), colorectal cancer (CRC) (n = 8), lung cancer (LC) (n = 1), skin cancer (SK) (n = 1) and multiple cancer types (n = 6). BIA is a suitable and valid method for the assessment of body composition in oncology. BIA-derived measures have shown good potential and relevant clinical value in preoperative risk evaluation, in the reduction of postoperative complications and hospital stay and as an important prognostic indicator in persons with cancer. Future research on the diagnostic value and clinical applications of BIA and BIA-derived phase angle (PhA) should be conducted in order to predict its impact on patient survival and other clinical outcomes.

Oropharyngeal dysphagia and cachexia: Intertwined in head and neck cancer

BACKGROUND

This study aims to investigate the relationship between cancer cachexia and oropharyngeal dysphagia (OD) in patients with head and neck cancer (HNC) prior to chemoradiotherapy or bioradiotherapy (CRT/BRT).

METHODS

A prospective cohort study with patients with HNC undergoing CRT/BRT (2018-2021) was conducted. Body composition and skeletal muscle function were evaluated using bioelectrical impedance analysis, handgrip strength, and the short physical performance battery (SPPB). The M. D. Anderson Dysphagia Inventory (MDADI), Eating Assessment Tool (EAT)-10 questionnaire, and patient characteristics were collected. A standardized videofluoroscopic swallowing study was offered to patients.

RESULTS

Sixty-six patients were included. Twenty-six patients scored EAT-10 ≥ 3 and seventeen were cachectic. ACE-27 score >1, cachexia, abnormal SPPB-derived repeated chair-stand test, lower MDADI scores, and higher overall stage grouping showed potential predictive value (p ≤ 0.10) for EAT-10 ≥ 3. Using multivariable regression analysis, only cachexia remained a significant predictor of EAT-10 ≥ 3 (HR 9.000 [95%CI 2.483-32.619], p = 0.001).

CONCLUSION

Cachexia independently predicted the presence of patient-reported OD.

Influence of fat-free mass index on the survival of patients with head and neck cancer

PURPOSE

To determine whether muscle mass, defined by fat-free mass index (FFMI) measured with bioelectrical impedance analysis (BIA), is predictive of survival of head and neck squamous cell carcinoma (HNSCC) patients.

METHODS

HNSCC patients treated between 2014 and 2018 at the Department for Nutrition of the Institute of Oncology Ljubljana were reviewed. The FFMI values from the pretreatment BIA measurements and pretreatment body mass index (BMI) were used to categorize patients into groups with low and normal muscle mass and BMI using the Global Leadership Initiative on malnutrition (GLIM) recommended cutoff values. The impact of FFMI on disease-free survival (DFS) and overall survival (OS) was determined.

RESULTS

Of the 71 included patients, 31 (43.7%) had normal FFMI, and 40 (56.3%) had low FFMI, whereas 44 (62%) and 27 (38%) of the patients had normal and low BMI, respectively. Between FFMI and BMI values, a significant correlation was found (R_P = 0.75, p < 0.001). Univariate regression analysis showed that FFMI (as a continuous variable) was of prognostic significance for OS (p = 0.039), which was confirmed by multivariate regression analysis (p = 0.029). The model where BMI replaced FFMI negated the prognostic value of BMI (as a continuous variable). Neither FFMI nor BMI was found to be a predictor of DFS on univariate or multivariate analysis.

CONCLUSIONS

In the present group of HNSCC patients, low FFMI adversely influenced OS, emphasizing the importance of using body composition measurement over BMI alone for pretreatment nutritional evaluation of these patients.

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.

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.