Are muscle parameters obtained by computed tomography associated with outcome after esophagectomy for cancer?

Thoracic skeletal muscle mass predicts mortality in patients with surgery for pleural empyema: A case control study

BACKGROUND

This study investigated the role of the thoracic skeletal muscle mass as a marker of sarcopenia on postoperative mortality in pleural empyema.

METHODS

All consecutive patients (n = 103) undergoing surgery for pleural empyema in a single tertiary referral center between January 2020 and December 2022 were eligible for this study. Thoracic skeletal muscle mass index (TSMI) was determined from preoperative computed tomography scans. The impact of TSMI and other potential risk factors on postoperative in-hospital mortality was retrospectively analyzed.

RESULTS

A total of 97 patients were included in this study. The in-hospital mortality rate was 13.4%. In univariable analysis, low values for preoperative TSMI (p = 0.020), low preoperative levels of thrombocytes (p = 0.027) and total serum protein (p = 0.046) and higher preoperative American Society of Anesthesiologists (ASA) category (p = 0.007) were statistically significant risk factors for mortality. In multivariable analysis, only TSMI (p = 0.038, OR 0.933, 95% CI: 0.875-0.996) and low thrombocytes (p = 0.031, OR 0.944, 95% CI: 0.988-0.999) remained independent prognostic factors for mortality.

CONCLUSIONS

TSMI was a significant prognostic risk factor for postoperative mortality in patients with pleural empyema. TSMI may be suitable for risk stratification in this disease with high morbidity and mortality, which may have further implications for the selection of the best treatment strategy.

Association of preoperative muscle-adipose index measured by computed tomography with survival in patients with esophageal squamous cell carcinoma

BACKGROUND

Conventional nutritional metrics are closely associated with the prognosis of patients with radically resected esophageal squamous cell carcinoma (ESCC). Nevertheless, the prognostic implications of muscle and adipose tissue composite indexes in ESCC remain unknown.

METHODS

We retrospectively analyzed clinicopathological data of 304 patients who underwent resected ESCC. To obtain measurements of the muscle and adipose indexes, preoperative computed tomography (CT) images were used to quantify skeletal-muscle adipose tissue. The diagnostic threshold for muscle-adipose imbalance was determined using X-tile software and used to analyze the association between the muscle-adipose index (MAI) and survival. Instantaneous risk of recurrence was assessed using a hazard function. We constructed a nomogram based on the MAI and other clinical characteristics and established a novel predictive model with independent prognostic factors. The prognostic capabilities of these nomograms were evaluated using calibration curves, receiver operating characteristic (ROC) curves, and decision-curve analysis (DCA).

RESULTS

The overall survival (OS) and disease-free survival (DFS) rates in the muscle-adipose-balanced group were significantly better than those in the muscle-adipose-imbalanced group. Multivariate analyses revealed that the MAI, prognostic nutritional index (PNI), tumor stage, and tumor differentiation were independent prognostic factors for OS and DFS in patients with resected ESCC (P < 0.05). The nuclear density curve indicated a lower risk of recurrence for patients in the muscle-adipose-balanced group than that for their imbalanced counterparts. Conversely, the nuclear density curve for PNI was confounded. Postoperative radiotherapy- (RT) benefit analysis demonstrated that patients with ESCC in the muscle-adipose-balanced group could benefit from adjuvant RT.

CONCLUSION

This study confirmed that preoperative MAI could serve as a useful independent prognostic factor in patients with resected ESCC. A nomogram based on the MAI and other clinical characteristics could provide individualized survival prediction for patients receiving radical resection. Timely and appropriate nutritional supplements may improve treatment efficacy.

Correlation between sarcopenia and esophageal cancer: a narrative review

BACKGROUND

In recent years, the research on the relationship between sarcopenia before and after the treatment of esophageal cancer, as well as its impact on prognosis of esophageal cancer, has increased rapidly, which has aroused people's attention to the disease of patients with esophageal cancer complicated with sarcopenia. This review examines the prevalence of sarcopenia in patients with esophageal cancer, as well as the relationship between sarcopenia (before and after surgery or chemotherapy) and prognosis in patients with esophageal cancer. Moreover, we summarized the potential pathogenesis of sarcopenia and pharmacologic and non-pharmacologic therapies.

METHODS

A narrative review was performed in PubMed and Web of Science using the keywords ("esophageal cancer" or "esophageal neoplasm" or "neoplasm, esophageal" or "esophagus neoplasm" or "esophagus neoplasms" or "neoplasm, esophagus" or "neoplasms, esophagus" or "neoplasms, esophageal" or "cancer of esophagus" or "cancer of the esophagus" or "esophagus cancer" or "cancer, esophagus" or "cancers, esophagus" or "esophagus cancers" or "esophageal cancer" or "cancer, esophageal" or "cancers, esophageal" or "esophageal cancers") and ("sarcopenia" or "muscular atrophy" or "aging" or "senescence" or "biological aging" or "aging, biological" or "atrophies, muscular" or "atrophy, muscular" or "muscular atrophies" or "atrophy, muscle" or "atrophies, muscle" or "muscle atrophies"). Studies reporting relationship between sarcopenia and esophageal cancer were analyzed.

RESULTS

The results of the review suggest that the average prevalence of sarcopenia in esophageal cancer was 46.3% ± 19.6% ranging from 14.4 to 81% and sarcopenia can be an important predictor of poor prognosis in patients with esophageal cancer. Patients with esophageal cancer can suffer from sarcopenia due to their nutritional deficiencies, reduced physical activity, chemotherapy, and the effects of certain inflammatory factors and pathways. When classic diagnostic values for sarcopenia such as skeletal muscle index (SMI) are not available clinically, it is also feasible to predict esophageal cancer prognosis using simpler metrics, such as calf circumference (CC), five-count sit-up test (5-CST), and six-minute walk distance (6MWD).

CONCLUSIONS

Identifying the potential mechanism of sarcopenia in patients with esophageal cancer and implementing appropriate interventions may hold the key to improving the prognosis of these patients.

Muscle quality, not quantity, is associated with outcome after colorectal cancer surgery

INTRODUCTION

Emerging evidence suggests that deconditioned patients benefit most from prehabilitation before colorectal cancer surgery. So far, selecting patients with poor muscle status and high perioperative risk remains challenging. Therefore, this study evaluates the potential of the CT-derived Skeletal Muscle Index (SMI), representing muscle mass, and of the Muscle Radiation Attenuation (MRA), a measure of muscle quality, for risk stratification in colorectal cancer patients.

METHODS

In this retrospective, single-center observational study, 207 patients with resection of colorectal adenocarcinoma between January 2016 and December 2020 were included. The Charlson comorbidity index (CCI), postoperative complications, length of hospital stay, and survival were recorded. Data were analyzed using multivariable linear, logistic, and Cox proportional hazards regression models adjusted for age, sex, BMI, CCI, neoadjuvant therapy, tumor stage, and surgery type.

RESULTS

An increase of the MRA was associated with fewer postoperative complications (anastomotic leakage and pneumonia) and lesser severity according to the Clavien-Dindo classification, shorter hospital stays, and prolonged survival (Hazard ratio: 0.63 [95%CI: 0.49-0.81], p < 0.001). No relevant associations were found between the SMI and postoperative complications, length of hospital stay, or survival.

CONCLUSION

The easy-to-raise MRA serves as a more reliable tool than the SMI for identifying high-risk patients with poor muscle status before colorectal surgery. Those patients may benefit most from prehabilitation, which has to be proven in future interventional trials.

Muscle quality determined by computed tomography predicts short-term and long-term survival after liver transplantation

Sarcopenia, the loss of muscle mass and quality, contributes to worse clinical outcome in patients with end-stage liver disease, but its impact on short- and long-term survival remains insufficiently understood. The aim of this study was to evaluate the development of computed tomography (CT) muscle parameters and their impact on short-term and long-term survival after liver transplantation. This retrospective study included patients with liver transplantation between 2011 and 2015 and a pre-transplant CT scan. Clinical characteristics, CT muscle mass and density were assessed pre-transplant, and in available CT scans at short-term (11 months) and long-term follow-up (56 months). Overall, 93/152 (61%) patients (109 male, 55 ± 10 years) suffered from sarcopenia pre-transplant. In short- (n = 50) and long-term follow-up (n = 52) the muscle mass (- 2.65 cm²/m² 95% CI [- 4.52, - 0.77], p = 0.007; - 2.96 cm²/m² [- 4.7, - 1.23], p = 0.001, respectively), and muscle density (- 3 HU [- 6, - 1], p = 0.007; - 2 HU [- 4, 0], p = 0.069) decreased. Myosteatosis was associated with a higher post-transplant mortality (survival probability: 3 months 72% vs. 95%, 1 year 63% vs. 90%, 5 years 54% vs. 84%, p = 0.001), while muscle mass was not. In conclusion, muscle mass and quality did not improve after transplant. Muscle quality predicts short- and long-term survival and could help to identify a patient's risk profile.

[Routine computed tomography body composition analysis-experience in intensive care patients]

The assessment of the nutritional status of patients in the intensive care unit is recommended in current guidelines and should include the assessment of muscle status. A suitable method is the analysis of routine computed tomography (CT) scans, which are frequently performed in critically ill patients. With the help of special software, individual CT slices are processed and various parameters such as muscle area, muscle density or even the percentage of adipose tissue are displayed and quantified. It has been shown that cross-sectional acquisition of skeletal muscle in the lumbar spine correlates very well with total body muscle. There are defined, albeit population-based, cut-off values that can be used to establish diagnosis of sarcopenia. Monitoring of individualized nutritional therapy can be accomplished by assessment of repetitive CT examinations. The steadily growing body of data confirms that the method can make a valuable contribution to the assessment of body composition in intensive care medicine. Most of the currently available software requires time-consuming processing of the CT. Automated programs, which are now occasionally available and eliminate the need for most manual processing, may make the method even more attractive in the future. Ultimately, the risk of intensive transport to the CT or radiation exposure may be only justified for medical indications. Nevertheless, whenever CT is available for medical reasons, it should also be exploited for composition analysis.

Prognostic Value of Pretreatment Skeletal Muscle Mass Index in Esophageal Cancer Patients: A Meta-Analysis

The prognostic role of pretreatment skeletal muscle mass index (SMI) has been verified in several types of cancers. However, it remains unclear whether pretreatment SMI is a valuable prognostic indicator in esophageal cancer. The aim of the present study was to identify the prognostic value of pretreatment SMI in esophageal cancer. PubMed, EMBASE and Web of Science databases were searched for relevant studies up to November 10, 2021. The hazard ratios (HRs) with 95% confidence intervals (CIs) were combined to assess the association of pretreatment SMI with the overall survival (OS) and disease-free survival (DFS) of esophageal cancer patients. In total, 17 studies involving 2441 patients were included in this meta-analysis. The pooled results demonstrated that a lower SMI was significantly associated with poorer OS (HR = 1.18, 95% CI: 1.09-1.27, P < 0.001) and DFS (HR = 1.78, 95% CI: 1.10-2.88, P = 0.019). In addition, subgroup analysis based on treatment (surgery vs. nonsurgery), tumor type (squamous cell carcinoma vs. adenocarcinoma) and cutoff value of SMI showed similar results. The present findings demonstrated that pretreatment SMI is an independent prognostic indicator for esophageal cancer patients, and patients with a lower pretreatment SMI are more likely to have a worse prognosis. However, additional prospective high-quality studies are needed to verify the above findings.