Copenhagen, Denmark
Onsite/Online

ESTRO 2022

Session Item

Head and neck
6000
Poster (digital)
Clinical
BMI and SMI variations in HNSCC patients undergoing radiotherapy and nutritional intervention
Federico Mastroleo, Italy
PO-1081

Abstract

BMI and SMI variations in HNSCC patients undergoing radiotherapy and nutritional intervention
Authors:

Federico Mastroleo1, Carla Pisani1, Greta Carabelli1, Alessandro Collo2, Massimiliano Garzaro3, Sergio Riso2, Marco Krengli1

1University Hospital Maggiore della Carità, Radiation Oncology, Novara, Italy; 2University Hospital Maggiore della Carità, Clinical Nutrition and Dietetic, Novara, Italy; 3University Hospital Maggiore della Carità, ENT, Novara, Italy

Show Affiliations
Purpose or Objective

The aim of the study was to analyze the cohort of head and neck squamous cell carcinoma (HNSCC) patients (pts) who underwent radiotherapy (RT) or radiotherapy with concurrent chemotherapy (RT-CHT) and their body mass index (BMI) and skeletal muscle index (SMI) pattern of variation at 3 months after treatment completion. 

Material and Methods

From 2016 to 2020, we enrolled 73 consecutive HNSCC pts treated by with exclusive or postoperative RT (14 pts) or RT-CHT (59 pts). Pts’ t0 (at time of diagnosis) and t3 (3 months after treatment completion) CT scans were retrieved to measure skeletal muscle as cross-section area (CSA) in a single slice at the level of C3 vertebra. Skeletal muscle area was defined as the pixel area between the radiodensity range of -29 and +150 Hounsfield Units (HU) and SMI calculated. Charlson Score was used to assess comorbidities, resulting in a median score of 4 (range: 2-11).

Pts were followed-up up to disease progression, relapse or death. Median follow-up was 16 months (range: 3 – 70 months), local-progression-free survival was analyzed. We further analyzed the BMI and SMI variance with variables coming from patients’ clinical data, Mann-Whitney test was used and p-value <0,05 was considered as significative.

Results

20 events were recorded: 9 disease progressions and 11 tumor relapses. The 82% of pts was free of progression at 1 year (95% C.I. 0.70-0.89). We analyzed BMI and SMI at t0 and t3. At t0, average BMI was 25.79 (SD 4.06), while, at t3, it was 24.46 (SD 3.56) with a reduction in 54 pts (73,97%). The difference was evaluated by Wilcoxon signer-rank test, showing a BMI decrease of -1,33 (SD 1.81) and p-value <0.0001.

At t0, average SMI was 57,14 (SD 11,01), while, at t3, it was 59,17 (SD 11,84) with a reduction in 26 pts (35,62%). The difference was evaluated by Wilcoxon signed-rank test, showing a SMI increase of 2,03 (SD 5,47) and p-value <0.0055. BMI and SMI variance did not significantly correlate with analyzed clinical variables.  

Conclusion

The SMI increment found in our population could be justified by the nutritional interventions and supplementation monitored by seriate nutritional follow-up. Furthermore, our study suggests that the assessment of nutritional status by BMI could be potentially insufficient since BMI variations could hide muscle mass variations, impacting in HNSCC prognosis. SMI could represent a more reliable way in muscle mass analysis that could be easily integrated in radiation oncology setting.