Quantitative body mass characterization before and after head and neck cancer radiotherapy: A challenge of height-weight formulae using computed tomography measurement

Radiomic Assessment of Radiation-Induced Alterations of Skeletal Muscle Composition in Head and Neck Squamous Cell Carcinoma within the Currently Clinically Defined Optimal Time Window for Salvage Surgery-A Pilot Study

Patients with locally advanced head and neck squamous cell carcinoma (HNSCC) frequently require primary radiochemotherapy (RCT). Despite intensity modulation, the desired radiation-induced effects observed in HNSCC may also be observed as side effects in healthy tissue, e.g., the sternocleidomastoid muscle (SCM). These side effects (e.g., tissue fibrosis) depend on the interval between the completion of RCT and restaging CT. For salvage surgery, the optimal time window for surgery is currently clinically postulated at between 6 and 12 weeks after completion of RCT. Thus, no extensive tissue fibrosis is to be expected. This interval is based on clinical studies exploring surgical complications. Studies directly exploring radiation-induced changes of the SCM in HNSCC patients are sparse. The present study quantified tissue alterations in the SCM and paravertebral musculature (PVM) after RCT, applying radiomics to determine the optimal time window for salvage surgery. Three radiomic key parameters, (1) volume, (2) mean positivity of pixels (MPP), and (3) uniformity, were extracted with mint LesionTM in the staging CTs and restaging CTs of 98 HNSCC patients. Of these, 25 were female, the mean age was 62 (±9.6) years, and 80.9% were UICC Stage IV. The mean restaging interval was 55 (±28; range 29-229) days. Only the mean volume significantly decreased after RCT, from 9.0 to 8.4 and 96.5 to 91.9 mL for the SCM and PVM, respectively (both p = 0.007, both Cohen's d = 0.28). In addition, the mean body mass index (BMI) decreased from 23.9 (±4.2) to 21.0 (±3.6) kg/m² (p < 0.001; Cohen's d = 0.9). The mean BMI decreased significantly and was correlated with the volume decrease for the SCM (r = 0.27; p = 0.007) and PVM (r = 0.41; p < 0.001). If t-test p-values were adjusted for the BMI decrease, no significant change in volumes for the SCM and PVM was observed (both p > 0.05). The present data support the clinically postulated optimal interval for salvage surgery of 6 to 12 weeks.

Strategies for calculating contrast media dose for chest CT

BACKGROUND

Total body weight (TBW) is a frequently used contrast media (CM) strategy for dose calculation in enhanced CT, yet it is suboptimal as it lacks consideration of patient characteristics, such as body fat percentage (BFP) and muscle mass. Alternative CM dosage strategies are suggested by the literature. Our objectives were to analyze the CM dose impact when adjusting to body composition using methods of obtaining lean body mass (LBM) and body surface area (BSA) along with its correlation with demographic factors in contrast enhanced chest CT examinations.

METHODS

Eighty-nine adult patients referred for CM thoracic CT were retrospectively included, categorized as either normal, muscular, or overweight. Patient body composition data was used to calculate the CM dose according to LBM or BSA. LBM was calculated with the James method, Boer method, and bioelectric impedance (BIA). BSA was calculated using the Mostellar formula. We then correlated the corresponding CM doses with demographic factors.

RESULTS

BIA demonstrated the highest and lowest calculated CM dose in muscular and overweight groups respectively, compared to other strategies. For the normal group, the lowest calculated CM dose was achieved using TBW. The calculated CM dose was more closely correlated with BFP using the BIA method.

CONCLUSIONS

The BIA method is more adaptive to variations in patient body habitus especially in muscular and overweight patients and is most closely correlated to patient demographics. This study could support utilizing the BIA method for calculating LBM for a body-tailored CM dose protocol for enhanced chest CT examinations.

RELEVANCE STATEMENT

The BIA-based method is adaptive to variations in body habitus especially in muscular and overweight patients and is closely correlated to patient demographics for contrast-enhanced chest CT.

KEY POINTS

• Calculations based on BIA showed the largest variation in CM dose. • Lean body weight using BIA demonstrated the strongest correlation to patient demographics. • Lean body weight BIA protocol may be considered for CM dosing in chest CT.

The correlation of muscle quantity and quality between all vertebra levels and level L3, measured with CT: An exploratory study

Introduction

In patients with cancer, low muscle mass has been associated with a higher risk of fatigue, poorer treatment outcomes, and mortality. To determine body composition with computed tomography (CT), measuring the muscle quantity at the level of lumbar 3 (L3) is suggested. However, in patients with cancer, CT imaging of the L3 level is not always available. Thus far, little is known about the extent to which other vertebra levels could be useful for measuring muscle status. In this study, we aimed to assess the correlation of the muscle quantity and quality between any vertebra level and L3 level in patients with various tumor localizations.

Methods

Two hundred-twenty Positron Emission Tomography (PET)-CT images of patients with four different tumor localizations were included: 1. head and neck (n = 34), 2. esophagus (n = 45), 3. lung (n = 54), and 4. melanoma (n = 87). From the whole body scan, 24 slices were used, i.e., one for each vertebra level. Two examiners contoured the muscles independently. After contouring, muscle quantity was estimated by calculating skeletal muscle area (SMA) and skeletal muscle index (SMI). Muscle quality was assessed by calculating muscle radiation attenuation (MRA). Pearson correlation coefficient was used to determine whether the other vertebra levels correlate with L3 level.

Results

For SMA, strong correlations were found between C1-C3 and L3, and C7-L5 and L3 (r = 0.72-0.95). For SMI, strong correlations were found between the levels C1-C2, C7-T5, T7-L5, and L3 (r = 0.70-0.93), respectively. For MRA, strong correlations were found between T1-L5 and L3 (r = 0.71-0.95).

Discussion

For muscle quantity, the correlations between the cervical, thoracic, and lumbar levels are good, except for the cervical levels in patients with esophageal cancer. For muscle quality, the correlations between the other levels and L3 are good, except for the cervical levels in patients with melanoma. If visualization of L3 on the CT scan is absent, the other thoracic and lumbar vertebra levels could serve as a proxy to measure muscle quantity and quality in patients with head and neck, esophageal, lung cancer, and melanoma, whereas the cervical levels may be less reliable as a proxy in some patient groups.

Association between body composition and survival in head and neck cancer patients undergoing radiotherapy

BACKGROUND

Body composition may influence the prognosis of head and neck cancer (HNC) patients. To find out the most crucial factors in this relationship, we explored the association between body composition and survival.

METHODS

In this prospective longitudinal study, HNC patients who underwent radiotherapy (RT) from March 2017 to December 2018 were recruited. The association between body composition and survival was analyzed using Cox proportional hazard regression.

RESULTS

Final analysis included 316 patients, with a median follow-up of 34.4 months. Multivariable analysis revealed that weight loss 6 months before RT and body composition changes during RT did not affect the survival outcome. However, patients with low appendicular skeletal muscle mass index (ASMI) before RT exhibited poor overall survival (OS). ASMI before RT was an independent prognostic factor for OS.

CONCLUSIONS

Body composition loss was common during RT, and ASMI before RT independently influenced the survival outcomes of HNC patients.

Deep learning auto-segmentation of cervical skeletal muscle for sarcopenia analysis in patients with head and neck cancer

Background/Purpose

Sarcopenia is a prognostic factor in patients with head and neck cancer (HNC). Sarcopenia can be determined using the skeletal muscle index (SMI) calculated from cervical neck skeletal muscle (SM) segmentations. However, SM segmentation requires manual input, which is time-consuming and variable. Therefore, we developed a fully-automated approach to segment cervical vertebra SM.

Materials/Methods

390 HNC patients with contrast-enhanced CT scans were utilized (300-training, 90-testing). Ground-truth single-slice SM segmentations at the C3 vertebra were manually generated. A multi-stage deep learning pipeline was developed, where a 3D ResUNet auto-segmented the C3 section (33 mm window), the middle slice of the section was auto-selected, and a 2D ResUNet auto-segmented the auto-selected slice. Both the 3D and 2D approaches trained five sub-models (5-fold cross-validation) and combined sub-model predictions on the test set using majority vote ensembling. Model performance was primarily determined using the Dice similarity coefficient (DSC). Predicted SMI was calculated using the auto-segmented SM cross-sectional area. Finally, using established SMI cutoffs, we performed a Kaplan-Meier analysis to determine associations with overall survival.

Results

Mean test set DSC of the 3D and 2D models were 0.96 and 0.95, respectively. Predicted SMI had high correlation to the ground-truth SMI in males and females (r>0.96). Predicted SMI stratified patients for overall survival in males (log-rank p = 0.01) but not females (log-rank p = 0.07), consistent with ground-truth SMI.

Conclusion

We developed a high-performance, multi-stage, fully-automated approach to segment cervical vertebra SM. Our study is an essential step towards fully-automated sarcopenia-related decision-making in patients with 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.

Dietary assessment and effect of Pilates exercises on quality of life, body composition, and physical fitness in Iranian postmenopausal women

Menopause is an important period of life for women, all of whom experience this natural state. However, awareness of the bodily changes during this period is of great significance. Hence, not paying attention to the dietary, physical, and psychological criteria can reduce the quality of women’s lives. This study aimed to evaluate health-related quality of life (HRQoL), body composition, and physical fitness in postmenopausal women after Pilates exercises. Thirty postmenopausal Iranian women were randomly divided into Pilates (performed for 8 weeks) and control groups. The HRQoL Questionnaire (SF-12) was filled out, and a three-day record of food intake was also kept for dietary assessment. The diet of the women consisted of mean values of 1,923 Kcal daily energy, 16% protein, 72% carbohydrate, 12% fat, and 11.32 mg iron. Calcium, zinc, vitamin D, and vitamin E intake were respectively 73, 87.5, 81.7 and 83.53% of the recommended daily allowance. Pilates exercises had a significant effect on flexibility (P=0.002), endurance (P=0.001), muscle strength (P=0.001), body mass index (P=0.001), lean mass (P=0.003), body fat percentage (P=0.001), and quality of life (P=0.001). Therefore, Pilates is an appropriate training to increase body fitness and improve body composition, lean mass, and quality of life in postmenopausal women.

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.

Perception and Performance of Physical Activity Behavior after Head and Neck Cancer Treatment: Exploration and Integration of Qualitative and Quantitative Findings

Maintaining or increasing physical activity (PA) may prevent loss of muscle mass and strength after completion of head and neck cancer (HNC) treatment. However, the exercise level of HNC patients may not meet PA guidelines. We aimed to explore HNC survivors' views on PA, their report of PA, and to compare these with objectively measured PA. Combined qualitative and quantitative data of HNC survivors were explored post-treatment. Data from semi-structured interviews, questionnaires, and objective measurements of PA were collected, analyzed, and integrated. This resulted in the identification of five themes related to prioritizing, day-to-day life, intention, positive feelings, and social support, respectively, in nine HNC survivors (male: n = 5; age: 52-67 years). Objectively measured PA levels were sedentary to low. The lack of intention to increase PA may be related to HNC survivors' perception that their current activity level is sufficient, despite low levels of measured PA. While some participants feel they need no help with PA, others are insecure about possible harms. Healthcare professionals may be able to help improve PA in HNC survivors with a tailored approach that reduces fear of harm and helps to incorporate higher intensity PA in daily activities.

Low skeletal muscle mass assessed directly from the 3rd cervical vertebra can predict pharyngocutaneous fistula risk after total laryngectomy in the male population

Purpose

Skeletal muscle mass (SMM) loss and sarcopenia have been identified as risk factors for postoperative complications. The aim of this study was to investigate the relationship between pharyngocutaneous fistula (PCF) formation after total laryngectomy (TL) and SMM assessed from a computed tomography image of the 3rd cervical vertebra (C3).

Methods

Retrospective study of 86 male patients who underwent TL between 2013 and 2019 in a single institution. We excluded women from the analysis due to our limited sample. SMM was determined from cross-sectional muscle area (CSMA) measurement at C3 using the ImageJ software. Results were compared with those for the skeletal muscle mass index (SMMI) calculated from the estimated measure at 3rd lumbar vertebra (L3).

Results

PCF formation occurred in 21/86 patients. According to the CSMA at a C3 cut-off of 35.5cm2, of 18 patients (20.9%) with low SMM, 9 developed PCFs (50.0%). Among patients with normal SMM (n = 68, 79.1%), 12 developed PCFs (17.6%). The CSMA at C3 was the only variable significantly associated with PCF risk, which was 4.7 times greater in patients with low SMM (p = 0.007). Sarcopenia was more frequent in underweight patients (p = 0.0001), patients undergoing extended surgeries (p = 0.003), or presenting preoperative anaemia (p = 0.009) or hypoalbuminemia (p = 0.027).

Conclusion

Measuring the CSMA at C3 obtained results equivalent to those obtained by calculating the SMMI at L3, suggesting that direct SMM assessment from C3 is a useful approach to evaluating PCF formation risk after TL.

Supplementary Information

The online version contains supplementary material available at 10.1007/s00405-021-07127-3.

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

BACKGROUND AND PURPOSE

Sarcopenia is associated with decreased survival in head and neck cancer patients treated with radiotherapy. This study sought to determine whether in-clinic multifrequency bioelectrical impedance analysis (BIA) can identify survival-associated sarcopenia in patients with head and neck cancer.

MATERIALS AND METHODS

This prospective observational study enrolled 50 patients with head and neck cancer undergoing radiation therapy. Baseline BIA measures of skeletal muscle (SM) mass, fat-free mass (FFM), and fat mass (FM) were compared to CT-based estimates using linear regression. Sex-specific BIA-derived thresholds for sarcopenia were defined by the maximum Youden Index on receiver operator characteristic (ROC) curves. Patients were stratified by sarcopenia status and OS was compared using the Kaplan-Meier method and log-rank test.

RESULTS

Among 48 evaluable patients, BIA measures of body composition were strongly correlated with CT measures: SM mass (r = 0.97; R2 = 0.94; p < 0.0001), FFM (r = 0.97; R2 = 0.94; p < 0.0001) and FM (r = 0.95; R2 = 0.90; p < 0.0001). SM mass index < 9.19 kg/m2 identified sarcopenia men with high sensitivity (91.7%) and specificity (92.9%), whereas in women SM mass index < 6.53 kg/m2 was sensitive for sarcopenia (100%), but not specific. Patients with sarcopenia, defined by either CT or BIA, exhibited decreased OS (HR = not estimable; CT p = 0.009; BIA p = 0.03).

CONCLUSION

BIA provides accurate estimates of body composition in head and neck cancer patients. Implementation of BIA in clinical practice may identify patients with sarcopenia at risk for poor survival.

Physical activity and fitness in survivors of head and neck cancer

PURPOSE

The purposes of the study were (1) to assess the physical activity (PA) status, muscle strength (MS), and flexibility of survivors of head and neck cancer (HNC) and compare these findings with normative data from national labor fitness measures; (2) to examine the differences among PA subgroups, as categorized using Godin's scores; and (3) to examine the association between stretching exercises and cervical range of motion (CROM).

METHODS

A cross-sectional study with consecutive sampling was used to recruit HNC survivors from a medical center in Northern Taiwan who had completed either radiation therapy (RT) or multimodality treatments including RT within the current 5 years. The level of PA, daily function, fatigue, quality of life (QOL), MS (handgrip and hip flexor), BMI, and flexibility (CROM and fingertip-to-floor tests) of the participants were assessed.

RESULTS

A total of 108 participants completed the assessments from 135 eligible patients (80% response rate). Although 60.2% reported engaging in PA, only 16.7% met WHO guidelines. Compared to subjects in the normative data, the survivors of HNC in this study had poorer handgrip strength, BMI, and CROM, but better forward flexion. The participants who were consistent with WHO PA guidelines reported less fatigue, better right hip flexor MS, and better QOL than those who did not engage in any PA.

CONCLUSION

Lack of sufficient PA and generally poorer fitness were found in study subjects. Longitudinal research to explore changes in fitness and barriers to PA compliance is strongly suggested to better enhance HNC patients' PA and fitness.

The impact of skeletal muscle depletion on older adult patients with head and neck cancer undergoing primary surgery

INTRODUCTION

Sarcopenia may result in negative outcomes in patients with cancer, but its impact on surgical and oncological outcomes in older adult patients with head and neck squamous cell carcinoma (HNSCC) has not been systematically studied. This study evaluated the clinical impact of sarcopenia on postsurgical and oncological outcomes in older adult patients with HNSCC.

METHODS

This is a prospective study of 190 consecutive HNSCC patients aged ≥65 years who underwent curative surgery at a tertiary referral hospital. Sarcopenia was determined from measurement of the cross-sectional area of skeletal muscles at the level of the third lumbar vertebra on pretreatment images of whole body ¹⁸F-fluorodeoxyglucose positron emission tomography/computed tomography. Primary outcomes were early complications and overall survival. Factors of early complications and readmission were identified using binary logistic regression analyses, and factors of overall survival and disease-free survival were identified using univariate and multivariate Cox proportional hazards regression analyses.

RESULTS

Pretreatment sarcopenia were found in 64 (33.7%) patients. In multivariate analysis, sarcopenia and N classification were significantly associated with early complications, while sarcopenia and T classification were associated with readmission. Independent factors of overall survival outcomes were age, sarcopenia, and extranodal extension (all P < .005). Sarcopenia was also an independent factor predictive of disease-free survival outcome (P < .001). Sarcopenia was associated with a 3.2-fold increase in the early complication rate and 4.5-fold increase in mortality in older adult surgical patients with HNSCC.

CONCLUSION

Sarcopenia may predict early complications and survival after curative surgery in older adult patients with HNSCC.

Body composition changes in patients with head and neck cancer under active treatment: a scoping review

BACKGROUND

Head and neck cancer patients have the second highest malnutrition prevalence, when compared with other oncological patients. They experience significant weight loss before diagnosis, during and after treatment, and even during the first year of follow-up. However, the prognostic value of weight loss depends on body mass index, and this may be associated with low skeletal muscle mass, masking its loss. Thus, weight loss itself poorly predicts outcome in head and neck cancer patients when compared with depleted skeletal muscle mass, illustrating the inadequacy of body mass index as an accurate method to reflect nutritional status. A synthesis is needed of the body composition changes occurring in head and neck cancer patients during treatment, as well as of the methods to assess it.

OBJECTIVE

The aim of this scoping review is to examine and map the body composition changes in head and neck cancer patients under oncological treatment with curative intent. A further objective is to determine which methods are used to assess body composition in these patients.

INCLUSION CRITERIA

Types of participants: The current review considered head and neck cancer patients, aged 18 years or older.

CONCEPT

This scoping review considered all studies that focused on the body composition changes.

CONTEXT

This scoping review considered the studies that evaluated the body composition changes in the context of treatment with curative intent. Surgical treatment approach was excluded to avoid excess heterogeneity in the data. Types of sources: This scoping review considered only published studies, with abstract available.

SEARCH STRATEGY

A three-step search strategy was undertaken. This review was limited to studies published in English, Spanish, and Portuguese during 2000-2019.

DATA EXTRACTION

The data extracted included author(s)/year of publication, aims and purpose of the study, sample size, study design, type of treatment, measurement points and component(s) of body composition evaluated, body composition assessment methods, and main results/findings.

PRESENTATION OF RESULTS

Head and neck cancer patients suffer from serious loss of lean body mass, skeletal muscle, or free fat mass, after treatment compared with baseline. Further, nutritional deterioration is evident and occurs up to 8-12 months after treatment. Bioelectrical impedance analysis is one of the body composition assessment tools that has the great advantage for being available on a regular basis for assessment of body composition in head and neck cancer patients. However, it cannot be recommended for clinical decision making until further validation.

CONCLUSION

Head and neck cancer patients experience a significant depletion of lean body mass, fat-free mass, and skeletal muscle, accompanied by body fat mass, while undergoing (chemo)radiotherapy. This can be demonstrated either by triceps skinfold thickness, bioelectrical impedance analysis, dual-energy x-ray absorptiometry, or computed tomography. This loss has a remarkable impact on their survival, on their quality of life, and on the risk for post-operative complications and may result in a reduced response to cancer treatment. Thus, body composition assessment should become an integral component of the care of head and neck cancer patients, beyond weight and body mass index, and should be carried out at different times throughout treatment.

Association Between Sarcopenia and Mortality in Patients Undergoing Surgical Excision of Head and Neck Cancer

Importance

Sarcopenia, or the loss of muscle mass, is associated with poor treatment outcomes in a variety of surgical fields. However, the association between sarcopenia and long-term survival in a broad cohort of patients with head and neck cancer (HNC) is unknown.

Objective

To determine whether sarcopenia is associated with long-term survival in patients undergoing major head and neck surgery for HNC.

Design, Setting, and Participants

A retrospective medical records review was conducted at a tertiary care academic hospital. Two hundred sixty patients undergoing major head and neck ablative procedures with cross-sectional abdominal imaging performed within 45 days prior to surgery were included in the analysis. The study was conducted from January 1, 2005, to December 31, 2016. Data analysis was performed from June 1, 2018, to February 28, 2019.

Interventions

Measurement of cross-sectional muscle area at the L3 vertebra level.

Main Outcomes and Measures

Two- and 5-year overall survival were the primary outcomes.

Results

Of the 260 patients included in the study, 193 were men (74.2%); mean (SD) age was 61.1 (11) years. Sarcopenia was present in 144 patients (55.4%). Two-year overall survival was 71.9% of the patients (n = 82) in the sarcopenia group compared with 88.5% of the patients (n = 85) in the nonsarcopenia group (odds ratio [OR], 0.33; 95% CI, 0.16-0.70). At 5 years, overall survival was 36.5% in patients (n = 23) with sarcopenia and 60.5% in patients (n = 26) without sarcopenia (OR, 0.38; 95% CI, 0.17-0.84). On multivariate analysis, sarcopenia was a significant negative predictor of both 2-year (OR, 0.33; 95% CI, 0.14-0.77) and 5-year (OR, 0.38; 95% CI, 0.17-0.84) overall survival.

Conclusions and Relevance

Sarcopenia appears to be a significant negative predictor of long-term overall survival in patients with HNC undergoing major head and neck surgery. Sarcopenia may be accurately assessed on cross-sectional imaging and may be useful clinically as a prognostic variable and as an area for intervention to improve treatment outcomes.

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.

CT-measured skeletal muscle mass used to assess frailty in patients with head and neck cancer

BACKGROUND

Skeletal muscle depletion or sarcopenia is related to multiple adverse clinical outcome. However, frailty questionnaires are currently applied in the daily practice to identify patients who are potentially (un)suitable for treatment but are time consuming and straining for patients and the clinician. Screening for sarcopenia in patients with head and neck cancer (HNC) could be a promising fast biomarker for frailty. Our objective was to quantify sarcopenia with pre-treatment low skeletal muscle mass from routinely obtained neck computed tomography scans at level of third cervical vertebra in patients diagnosed with HNC and evaluate its association with frailty.

METHODS

A total of 112 HNC patients with Stages III and IV disease were included from a prospective databiobank. The amount of skeletal muscle mass was retrospectively defined using the skeletal muscle index (SMI). Correlation analysis between SMI and continuous frailty data and the observer agreement were analysed with Pearson's r correlation coefficients. Sarcopenia was present when SMI felt below previously published non-gender specific thresholds (<43.2 cm² /m² ). Frailty was evaluated by Geriatrics 8 (G8), Groningen Frailty Indicator, Timed Up and Go test, and Malnutrition Universal Screening Tool. A univariate and multivariate logistic regression analysis was performed for all patients and men separately to obtain odds ratios (ORs) and 95% confidence intervals (95% CIs).

RESULTS

The cohort included 82 men (73%) and 30 women (27%), with a total mean age of 63 (±9) years. The observer agreement for cross-sectional measurements was excellent for both intra-observer variability (r = 0.99, P < 0.001) and inter-observer variability (r = 0.98, P < 0.001). SMI correlated best with G8 frailty score (r = 0.38, P < 0.001) and did not differ per gender. Sarcopenia was present in 54 (48%) patients, whereof 25 (46%) men and 29 (54%) women. Prevalence of frailty was between 5% and 54% depending on the used screening tool. The multivariate regression analysis for all patients and men separately isolated the G8 questionnaire as the only independent variable associated with sarcopenia (OR 0.76, 95% CI 0.66-0.89, P < 0.001 and OR 0.76, 95% CI 0.66-0.88, P < 0.001, respectively).

CONCLUSIONS

This is the first study that demonstrates that sarcopenia is independently associated with frailty based on the G8 questionnaire in HNC patients. These results suggest that in the future, screening for sarcopenia on routinely obtained neck computed tomography scans may replace time consuming frailty questionnaires and help to select the (un)suitable patients for therapy, which is highly clinically relevant.

Prognostic value of body composition on recurrence and survival of advanced-stage head and neck cancer

BACKGROUND

Head and neck squamous cell carcinoma (HNSCC) is commonly associated with a high risk of malnutrition and sarcopenia, related to adverse clinical outcomes. This study evaluated the prognostic values of body composition on recurrence and survival in patients with advanced-stage HNSCC.

METHODS

This study prospectively enrolled 258 consecutive patients with definitive treatments for advanced-stage HNSCC. For the determination of sarcopenia, the cross-sectional area of the skeletal muscles (SMs) was measured at the level of the third lumbar vertebra on the computed tomography images of whole-body ¹⁸F-fluorodeoxyglucose positron-emission tomography/computed tomography before and after treatments. Univariate and multivariate Cox proportional hazards regression analyses were performed to identify the prognostic factors of disease-free survival (DFS) and overall survival (OS).

RESULTS

Pretreatment and post-treatment diminished SM masses (sarcopenia) were found in 17 (6.6%) and 32 (12.4%) of 258 included patients, respectively. All values of body composition, SM index, visceral fat area, lean body mass, fat mass and body mass index significantly decreased after treatment (all P < 0.05). Multivariable analyses showed that age, Charlson comorbidity index, pretreatment and post-treatment sarcopenia, pretreatment hypoalbuminaemia, p16 status and tumour site remained the independent variables predictive of DFS and OS outcomes (all P < 0.05). Patients with sarcopenia before or after treatment had about threefold increased risk of overall recurrence or death.

CONCLUSION

Diminished SM mass may predict recurrence and survival after definitive treatments in patients with advanced-stage HNSCC.

Prospective assessment of inter- or intra-fractional variation according to body weight or volume change in patients with head and neck cancer undergoing radiotherapy

This study aimed to prospectively investigate the association between body weight (ΔBW) or body volume variations (ΔBV) and inter- or intra-fractional variations (Δ(inter) or Δ(intra)) in patients with head and neck cancer (HNC) undergoing radiotherapy (RT). This study enrolled patients with HNC from December 2015 to December 2017. All patients underwent curative intensity-modulated RT (IMRT) either as definitive or adjuvant treatment. Six-dimensional inter- and intra-fractional variations (Δ(inter) and Δ(intra)) were obtained with ExacTrac (BrainLAB, Feldkirchen, Germany) system. BV was measured 7.5 cm cranio-caudally from the centre using cone beam computed tomography. The BW, BV, and Δ(inter) were calculated based on the value obtained on the first treatment day after each simulation. Both Δ(inter) and Δ(intra) were considered in calculating the optimal margins for planning target volume (PTV), which was calculated using van Herk’s formula. In total, 678 fractions with 39 simulations in 22 patients were analysed. The average ΔBW and ΔBV was -0.43±1.90 kg (range, -7.3 to 5.0) and -24.34±69.0 cc (range, -247.15 to 214.88), respectively. In correlation analysis, Δ(intra) was more associated with ΔBW or ΔBV than Δ(inter). Receiver operating characteristic analysis showed Δ(intra) could differentiate ΔBW from ΔBV, while Δ(inter) could not. The optimal margins for PTV considering both Δ(inter) and Δ(intra) were 3.70 mm, 4.52 mm, and 5.12 mm for the right-left, superior-inferior, and anterior-posterior directions, respectively. In conclusion, the PTV margin of 6 mm for anterior-posterior direction and 5 mm for the other directions were needed. ΔBW or ΔBV correlated with Δ(intra) rather than Δ(inter). Therefore, ΔBW or ΔBV should be assessed for accurate IMRT in patients with HNC.

Low muscle mass is associated with early termination of chemotherapy related to toxicity in patients with head and neck cancer

BACKGROUND & AIMS

We studied whether low pre-treatment muscle mass, measured with CT at thoracic (T4) or lumbar level (L3) associates with early termination of chemotherapy related to toxicity in head and neck cancer (HNC) patients.

METHODS

This was a retrospective chart and image review. Adult HNC patients treated with (surgery and) platinum-based chemo-radiotherapy were included if a pre-treatment CT scan at T4 or L3 level was available. Muscle mass was evaluated by assessment of skeletal muscle index (SMI; cm²/m²). T4 and L3 SMI measurements were corrected for deviation from their respective means and were merged into one score for SMI difference (cm²/m²). All cases were assessed for presence of toxicity-related unplanned early termination of chemotherapy ('early termination'). Univariate and multivariate logistic regression models were used to investigate associations between pooled SMI and early termination.

RESULTS

213 patients (age: 57.9 ± 10.3 y, male: 77%, T4 image: 45%) were included. A significant association between SMI as a continuous variable and early termination was found, both in the univariate analysis (p = 0.007, OR = 0.96 [0.94-0.99]) and the multivariate analysis (p = 0.021, OR 0.96 [0.92-0.99]). The multivariate models identified potential associations with type of chemotherapy, presence of co-morbidity, a combination of (former) smoking and alcohol consumption, and sex.

CONCLUSION

Lower muscle mass was robustly associated with higher odds of early termination of chemotherapy in HNC patients. Further prospective studies are required to tailor the care for patients with low muscle mass and to avoid early termination of chemotherapy.

Percutaneous endoscopic gastrostomy feeding of locally advanced oro-pharygo-laryngeal cancer patients: Blenderized or commercial food?

OBJECTIVES

Head and neck cancer patients commonly suffer from severe malnutrition at the time of tentative diagnosis. Percutaneous Endoscopic Gastrostomy [PEG] feeding is now considered as an efficient tool to reduce nutritional deterioration alongside concurrent treatment. We undertook the challenge to retrospectively evaluate the impact of a commercial, disease-specific, feeding formula [Supportan, Fresenius Kabi, Hellas] versus blenderized family food on nutritional outcome.

MATERIALS AND METHODS

This is a retrospective analysis of prospectively collected nutritional and anthropometric data at the time of PEG placement, at the 8th week [after treatment termination] and at 8 months [6mo of recovery from treatment]. All patients were prescribed a commercial feeding formula.

RESULTS

The final dataset included 212 patients: 112 received the commercial formula, 69 voluntarily decided to switch into blenderized-tube-feeding, and 31 were prescribed to receive a home-made formula of standard ingredients. The commercial formula seemed to help patients to fight the catabolism of concurrent treatment, since, at the 8mo assessment, both Body Mass index and Fat Free Mass had almost recovered to the values at the time of first diagnosis. Neither group on blenderized or home-made formulas exhibited nutritional improvement, but experienced a significant deterioration throughout the study period, with the home-made formula group being the worst.

CONCLUSION

These findings clearly indicate that home-made and blenderized foods do not adequately support the nutritional requirements of patients with HNC scheduled to receive concurrent CRT treatment.

Assessment and management of radiotherapy induced toxicity in older patients

Radiotherapy is an attractive treatment option for older adults, especially where surgery and chemotherapy pose too great a risk. Radiotherapy toxicity may be divided into acute/early and late effects of treatment. The latter may have limited relevance to an older patient with competing causes of mortality due to significant comorbidity. Altered fractionation regimes have been employed in numerous sites, with no significant toxicity impact. These offer greater convenience in the elderly, especially those with limited social support or in active caregiving roles. As radiotherapy toxicity is site specific, it's important to assess baseline function via Comprehensive Geriatric Assessment (CGA), and any pre-existing comorbidities that may influence toxicity. With modern radiotherapy technology and capabilities, these are less of an issue and radiotherapy is a very suitable treatment option for the older adult. When evaluating the literature on toxicity in older patients, it's important to recognise that older studies do not represent modern day radiotherapy techniques and capabilities. Advanced technology may simultaneously deliver enhanced target coverage and reduced toxicity. More research is required related to the predictive power of CGA in linking radiotherapy toxicity to frailty. What little evidence exists shows that CGA has a role in treatment of older patients with radiotherapy and that, in general, radiotherapy appears to be well tolerated in older adults. The purpose of this review is to provide a broad overview of the mechanisms of normal tissue reactions to radiotherapy and how radiation induced toxicity may affect older patients.