Abstract
Background Sarcopenia is defined by a loss of skeletal muscle mass with or without loss of fat mass. Sarcopenia has been associated to reduced tolerance to treatment and worse prognosis in cancer patients, including patients undergoing surgery for limited oesophageal cancer. Concomitant chemo-radiotherapy is the standard treatment for locally-advanced tumour, not accessible to surgical resection. Using automated delineation of the skeletal muscle, we have investigated the prognostic value of sarcopenia in locally advanced oesophageal cancer patients treated by curative-intent chemo-radiotherapy. Methods The clinical, nutritional, anthropometric, and functional-imaging ( 18 FDG-PET/CT) data were collected in 97 patients treated between 2006 and 2012 in our institution (RTEP3). The skeletal muscle area was automatically delineated on cross-sectional CT images acquired at the 3 rd . lumbar vertebra level and divided by the patient’s squared height (SML3/h 2 ) to obtain the Skeletal Muscle Index (SMI). The primary endpoint was overall survival probability. Results Seventy-six deaths were reported. The median survival time was 27 [95% Confidence Interval 23 – 40] months for the whole population. Univariate analyses (Cox Proportional Hazard Model) showed decreased survival probabilities in patients with reduced SMI, WHO >0, Body Mass Index ≤21, and Nutritional Risk Index ≤97.5. Multivariate analyses showed that reduced SMI (Hazard Ratio 0.948 [0.919 - 0.978] and male sex (2.977 [1.427 - 6.213] were significantly associated to decreased survival. Using Receiver Operating Characteristics curves, the Area Under the Curve (AUC) was 0.73 in males (p=0.0002], the optimal threshold being 51.5 cm 2 /m 2 . In women, the AUC was 0.65 (p=0.19). Conclusion Sarcopenia is a powerful independent prognostic factor, associated with a rise of the overall mortality in patients treated exclusively by radiochemotherapy for a locally advanced oesophageal cancer. L3 CT images are easily gathered from 18 FDG-PET/CT acquisitions
The prognostic value of preoperative FDG-PET/CT metabolic parameters in cervical cancer patients
