Total Fat Index Research Articles

Prognostic Role of Pre-Treatment Body Composition Parameters in Patients Undergoing First-Line Immunotherapy for Metastatic Renal Cell Carcinoma.

We investigated the relationship between body mass index (BMI), radiological body composition, and survival outcomes in patients with metastatic renal cell carcinoma (mRCC) underwent first-line immune checkpoint inhibitor (ICI)-based therapy. Analyzing data from 102 patients treated between November 2019 and March 2023, pre-treatment computed tomography (CT) scans assessed fat and muscle areas. BMI and body composition indices were examined, including skeletal muscle index, subcutaneous fat index (SFI), visceral fat index, and total fat index. Kaplan-Meier curves and Log rank tests compared progression-free survival (PFS) and overall survival (OS), while multivariable Cox proportional regression analysis was performed to identify the variables significantly associated with survival outcomes. 54 patients (52.9%) experienced disease progression, and 26 (25.5%) died during a median follow-up of 17.4 months. High SFI was significantly associated with improved OS (p = 0.018) but not PFS (p = 0.090). Multivariable analysis confirmed the positive impact of high SFI on OS (adjusted HR: 0.37, p = 0.029) and suggested a trend towards improved PFS (adjusted HR: 0.61, p = 0.088). Notably, in the ipilimumab + nivolumab subgroup, high SFI significantly correlated with both PFS and OS (p = 0.047 and p = 0.012, respectively). High SFI predicts favorable OS in patients with mRCC receiving first-line ICI-based therapy, especially patients treated with ipilimumab + nivolumab displayed a significant association between high SFI and favorable PFS and OS.

Association of sex-specific abdominal adipose tissue with WHO/ISUP grade in clear cell renal cell carcinoma

ObjectivesTo explore the association between computed tomography (CT)-measured sex-specific abdominal adipose tissue and the pathological grade of clear cell renal cell carcinoma (ccRCC).MethodsThis retrospective study comprised 560 patients (394 males and 166 females) with pathologically proven ccRCC (467 low- and 93 high-grade). Abdominal CT images were used to assess the adipose tissue in the subcutaneous, visceral, and intermuscular regions. Subcutaneous fat index (SFI), visceral fat index (VFI), intermuscular fat index (IFI), total fat index (TFI), and relative visceral adipose tissue (rVAT) were calculated. Univariate and multivariate logistic regression analyses were performed according to sex to identify the associations between fat-related parameters and pathological grade.ResultsIFI was significantly higher in high-grade ccRCC patients than in low-grade patients for both men and women. For male patients with high-grade tumors, the SFI, VFI, TFI, and rVAT were significantly lower, but not for female patients. In both univariate and multivariate studies, the IFI continued to be a reliable and independent predictor of high-grade ccRCC, regardless of sex.ConclusionsIntermuscular fat index proved to be a valuable biomarker for the pathological grade of ccRCC and could be used as a reliable independent predictor of high-grade ccRCC for both males and females.Critical relevance statementSex-specific fat adipose tissue can be used as a new biomarker to provide a new dimension for renal tumor-related research and may provide new perspectives for personalized tumor management decision-making approaches.Key points• There are sex differences in distribution of subcutaneous fat and visceral fat.• The SFI, VFI, TFI, and rVAT were significantly lower in high-grade ccRCC male patients, but not for female patients.• Intermuscular fat index can be used as a reliable independent predictor of high-grade ccRCC for both males and females.Graphical

116: INFLUENCE OF BODY COMPOSITE MEASURES ON CHYLE LEAK AFTER OESOPHAGECTOMY

Abstract Background and aim Chyle leak is an infrequent but potentially serious complication of oesophagectomy. Sarcopenia is an increasingly recognised prognostic factor in oesophageal cancer surgery. The aim of this study was to identify the influence of body composition and related factors on chyle leak following oesophagectomy. Methods Patients who developed chyle leak after oesophagectomy between January 2006–December 2020 were identified retrospectively from a prospectively collected and maintained dataset. A control group of patients undergoing oesophagectomy during the same time period was also collected. Relationships between chyle leak and demographics, operative factors and body composition measures were investigated as primary outcomes. Risk factors for severe chyle leak, defined as need for reintervention or greater than 1 litre of output per day, were evaluated as a secondary outcome. Results There were 26 patients who developed a chyle leak following an oesophagectomy. On univariate analysis, preoperative body mass index (BMI) (P = 0.001), subcutaneous fat index (P = 0.001) and total fat index (P = 0.004) were significantly associated with chyle leak. On multivariate analysis, a lower preoperative subcutaneous fat index was a significant independent predictor of chyle leak (P = 0.001). Sarcopenia was not found to be a significant predictor of developing chyle leaks. No significant predictors of severe chyle leak were identified. Conclusion A reduced preoperative body fat composition is a risk factor for chyle leak after oesophagectomy. Sarcopenia doesn’t predict either the occurrence or severity of chyle leak. This emphasises the importance of physiological and nutritional optimisation before oesophagectomy.

Influence of body composition measures on chyle leak after oesophagectomy.

BackgroundChyle leak (CL) is an infrequent but potentially serious complication of oesophagectomy. Sarcopenia is an increasingly recognised prognostic factor in oesophageal cancer surgery. The aim of this study was to identify the influence of body composition measures on CL following oesophagectomy.MethodsPatients who developed CL after oesophagectomy between January 2006–December 2020 were identified retrospectively from a prospectively maintained dataset. A control group of patients undergoing oesophagectomy, who did not experience chyle leak during the same time period, was also collected. Relationships between CL and demographics, operative factors and body composition measures were investigated as primary outcomes. Risk factors for severe CL were evaluated as a secondary outcome.ResultsThere were 26 patients who developed a CL following an oesophagectomy. On univariate analysis, preoperative body mass index (BMI) (P=0.001), subcutaneous fat index (P=0.001) and total fat index (P=0.004) were significantly associated with CL. On multivariate analysis, a lower preoperative subcutaneous fat index was a significant independent predictor of CL (P=0.003). Sarcopenia, as an overall measure, was not found to be a significant predictor of developing CLs. No significant predictors of severe CL were identified.ConclusionsA reduced preoperative BMI and body fat composition are risk factors for CL after oesophagectomy. Sarcopenia does not predict either the occurrence or severity of CL. This presents potentially modifiable risk factors for CL after oesophagectomy and emphasises the importance of physiological and nutritional optimisation before oesophagectomy.

Incremental Shuttle Walk Test and Body Composition Measures: Useful Predictive Factors For Complications After Oesophago-Gastric Cancer Surgery?

Background: Oesophagogastric cancer resection carries a morbidity, as high as 60%. Better patient selection, not only with regards to clinical stage but also fitness, reduces morbidity, and improves outcome. Assessment of body composition measures in particular sarcopenia and the incremental shuttle walk test (ISWT) are 2 such tools to evaluate patients’ fitness. We investigate the usefulness of these 2 tools in predicting post-operative outcomes following oesophagogastric resection. Methods: All patients who underwent oesophagogastric cancer resection between 2017 and 2019 and consented to participate in ISWT were included in the study. Patient demographics, comorbidity profile and distance walked in ISWT were collected from an electronic database kept locally. Body composition measures were calculated using pre-operative staging CT scans. Outcomes assessed included overall complications, major complications (Clavien-Dindo III-V) and overall survival. Results: Sixty-seven patients met the inclusion criteria. Seventy-nine percent of the cohort were males and the median age was 67. The majority had neoadjuvant chemotherapy (85%) and the overall complication rate was 69% with a major complication rate of 34%. There was no difference in complication rates between groups of patients who managed an ISWT distance of >350 m and ≤350 m. Multi-variate analyses showed that total fat index ( P = .041), myosteatosis (OR: 3.89; 95% CI: 1.04-16.76; P = .039) and sarcopenic obesity ( P = .028) were independent predictors of overall complications. The presence of sarcopenic obesity was associated with poorer overall survival ( P = .047). There was no correlation between skeletal muscle index and ISWT. Conclusion: ISWT does not predict post-operative morbidity following oesophagogastric cancer resection. However, sarcopenic obesity was associated with both higher overall complication rates and decreased overall survival. The assessment of body composition using CT scans is a useful pre-operative assessment tool for prediction of outcomes in patients undergoing oesophagogastric cancer resection

Body Composition Variables as Radiographic Biomarkers of Clinical Outcomes in Metastatic Renal Cell Carcinoma Patients Receiving Immune Checkpoint Inhibitors.

BackgroundImmune checkpoint inhibitors (ICI) have revolutionized the treatment of metastatic renal cell carcinoma (mRCC). Biomarkers for mRCC patients treated with ICI are limited, and body composition is underutilized in mRCC. We investigated the association between body composition and clinical outcomes in ICI-treated mRCC patients.MethodsWe performed a retrospective analysis of 79 ICI-treated mRCC patients at Winship Cancer Institute from 2015-2020. Baseline CT images were collected at mid-L3 and segmented using SliceOMatic v5.0 (TomoVision). Density of skeletal muscle (SM), subcutaneous fat, inter-muscular fat, and visceral fat were measured and converted to indices by dividing by height(m)2 (SMI, SFI, IFI, and VFI, respectively). Total fat index (TFI) was defined as the sum of SFI, IFI, and VFI. Patients were characterized as high versus low for each variable at gender-specific optimal cuts using overall survival (OS) as the primary outcome. A prognostic risk score was created based on the beta coefficient from the multivariable Cox model after best subset variable selection. Body composition risk score was calculated as IFI + 2*SM mean + SFI and patients were classified as poor (0-1), intermediate (2), or favorable risk (3-4). Kaplan-Meier method and Log-rank test were used to estimate OS and PFS and compare the risk groups. Concordance statistics (C-statistics) were used to measure the discriminatory magnitude of the model.ResultsMost patients were male (73%) and most received ICI as first (35%) or second-line (51%) therapy. The body composition poor-risk patients had significantly shorter OS (HR: 6.37, p<0.001), PFS (HR: 4.19, p<0.001), and lower chance of CB (OR: 0.23, p=0.044) compared to favorable risk patients in multivariable analysis. Patients with low TFI had significantly shorter OS (HR: 2.72, p=0.002), PFS (HR: 1.91, p=0.025), and lower chance of CB (OR: 0.25, p=0.008) compared to high TFI patients in multivariable analysis. The C-statistics were higher for body composition risk groups and TFI (all C-statistics ≥ 0.598) compared to IMDC and BMI.ConclusionsRisk stratification using the body composition variables IFI, SM mean, SFI, and TFI may be prognostic and predictive of clinical outcomes in mRCC patients treated with ICI. Larger, prospective studies are warranted to validate this hypothesis-generating data.

The relationship between computed tomography‐derived body composition and survival in colorectal cancer: the effect of image software

AbstractBackgroundIn the literature, there is considerable variation of the proportion of patients reported as having a low skeletal muscle index (SMI) (sarcopenia) or skeletal muscle radiodensity (SMD) (myosteatosis). The aim of the present study was to compare two commonly used software packages, one manual and one semi‐automated to quantify body composition of patients with colorectal cancer.MethodsThe study included 341 patients with colorectal cancer. ImageJ and Slice‐O‐Matic were used to quantify the computed tomography images for total fat index, visceral obesity (visceral fat index, VFI), high subcutaneous fat index (SFI), sarcopenia (SMI), and myosteatosis (SMD). Bland–Altman analysis was conducted to test agreement of the two software programs for these indices. Survival analysis was carried out using previously defined thresholds and Cox regression.ResultsIn Bland–Altman analysis, ImageJ gave consistently higher values for all body composition parameters (P &lt; 0.001), resulting in more patients classified as high SFI (P &lt; 0.001) and high VFI (P &lt; 0.001) and fewer patients being classified as low SMI (P &lt; 0.0001) and SMD (P &lt; 0.001). The difference between SFI calculated using ImageJ and Slice‐O‐Matic was +7.9%. The difference between VFI, calculated using ImageJ and Slice‐O‐Matic, was +20.3%. The difference between low SMI and SMDs, estimated using ImageJ and Slice‐O‐Matic, was +2.9% and +1.2%, respectively. SFI, VFI, SMI (Dolan), SMD (Dolan), SMI (Martin), and SMD (Martin) were significantly associated with shorter overall survival using ImageJ (all P &lt; 0.05).ConclusionsImageJ when compared with Slice‐O‐Matic gave higher values of different body composition parameters, and this impacted on the number of patients classified according to defined thresholds and their relationship with survival.

Indices of Habitual Fatty Acid Intake in Pre-Diabetic and Normoglycemic Individuals: A Population-Based Study

There were no differences for demographic, socioeconomic, epidemiological variables, as well as for the variables of habitual consumption of fat and different types of isolated or associated fatty acids and lifestyle between the two groups. However, different relationships were observed in each group, between fasting blood glucose values and fat consumption, such as: in the pre-diabetic group there was an inverse relationship with fat consumption tertiles in relation to fatty acids (AG) monounsaturated (M) - (15.16 ± 0.65g and 24.11 ± 2.74g) and Index I: S (I: S) - (1.39 ± 0.72g); and positive relationships with the consumption of the w-6: w-3 and w-6: w-9 indexes. In the normoglycemic group, inverse relationships were observed with the consumption of AGM w-3 and the w-3 total fat index and a positive relationship with the consumption of total polyunsaturated AG fats, indexes w-6: w-3, I: S w- 6: w-9.

Changes in Body Composition During Adjuvant FOLFOX Chemotherapy and Overall Survival in Non-Metastatic Colon Cancer

The impact of longitudinal anthropometric changes during adjuvant chemotherapy on long-term survival in non-metastatic colon cancer is unclear. Herein, we analyzed the prognostic significance of computed tomography (CT)-measured body composition changes in colon cancer patients who underwent surgery followed by adjuvant FOLFOX (folinic acid, 5-fluorouracil, oxaliplatin) chemotherapy. Data of 167 patients with stage III or high-risk stage II colon cancer were analyzed. Skeletal muscle index (SMI), skeletal muscle radiodensity (SMR), visceral fat index (VFI), subcutaneous fat index (SFI), and total fat index (TFI) changes during chemotherapy were calculated using preoperative and postchemotherapy CT image data. The Cox proportional hazard model was used to determine the correlation between changes in anthropometric values and overall survival (OS). The median changes (%) in SMI, SMR, VFI, SFI, and TFI over 210 days during chemotherapy were 8.7% (p < 0.001), 3.4% (p = 0.001), −19% (p < 0.001), −3.4% (p = 0.936), and −11.9% (p < 0.001), respectively. Cut-off values of changes in SMI (skeletal muscle index change, SMIC) and SMR (skeletal muscle radiodensity change, SMRC) were defined at −2% and −2 Hounsfield units (HU) respectively, whereas those of changes in VFI (visceral fat index change, VFIC), SFI (subcutaneous fat index change, SFIC), and TFI (total fat index change, TFIC) were based on values that provided the largest χ2 on the Mantel–Cox test. Multivariable analysis revealed that low SMR measured on a postchemotherapy CT scan (hazard ratio, HR: 0.32, 95% confidence interval, CI: 0.15–0.70, p = 0.004) and visceral fat loss of at least 46.57% (HR: 0.31, 95% CI: 0.14–0.69, p = 0.004) were independent poor prognostic factors for OS. Severe visceral fat loss during FOLFOX chemotherapy and low skeletal muscle radiodensity measured on postchemotherapy CT scans are associated with poor OS in stage III and high-risk stage II colon cancer patients.

The relationship between systemic inflammation-based prognostic scores and body composition analysis in colorectal cancer patients.

407 Background: Weight loss in cancer is increasingly recognised as part of syndrome associated with chronic activation of the systemic inflammatory response (McMillan DC, 2009). The aim of the present study was to examine the relationship between systemic inflammation based prognostic scores (SIBPS) and CT measured parameters of body composition in patients with primary operable colorectal cancer (CRC). Methods: 303 patients with primary operable CRC who underwent resection with curative intent (2003-2012) were studied. Image analysis of CT scans was used to measure total fat index (cm2/m2), subcutaneous fat index (cm2/m2), visceral fat index (cm2/m2) and skeletal muscle index (cm2/m2). SIBPS included the Glasgow Prognostic Score (mGPS), Neutrophil: Lymphocyte ratio (NLR), Platelet: Lymphocyte Ratio (PLR), Prognostic Index (PI), and Prognostic Nutritional Index (PNI). Results: In all patients there was a significant association between lower BMI and skeletal muscle index and an elevated systemic inflammatory response, as measured by the mGPS (p=0.028 and p&lt;0.001), NLR (p=0.004 and p=0.002), and PNI (p=0.001 and p=0.022). In male patients there was a significant association between lower BMI, total fat mass and skeletal muscle index and an elevated systemic inflammatory response, as measured by the mGPS (p= 0.027, p=0.048 and p=0.001), NLR (p=0.002, p=0.034 and p=0.003), and PNI (p=0.003, p&lt;0.001 and p0.048). In female patients total body fat was associated with the PLR (p=0.001) and PNI (p=0.009) but only the mGPS (p=0.007) and the PI (p=0.013) were associated with reduced skeletal muscle. Conclusions: The present study highlights a consistent association between lower BMI and skeletal muscle mass and the presence of a systemic inflammatory response. These results are consistent with the hypothesis that chronic activation of the systemic inflammatory response results in the loss of lean tissue and that ultimately compromises survival in patients with CRC. McMillan DC. Systemic inflammation, nutritional status and survival in patients with cancer. Curr Opin Clin Nutr Metab Care. 2009;12:223-6.

The Relationships between Body Composition and the Systemic Inflammatory Response in Patients with Primary Operable Colorectal Cancer

BackgroundWeight loss is recognised as a marker of poor prognosis in patients with cancer but the aetiology of cancer cachexia remains unclear. The aim of the present study was to examine the relationships between CT measured parameters of body composition and the systemic inflammatory response in patients with primary operable colorectal cancer.Patient and Methods174 patients with primary operable colorectal cancer who underwent resection with curative intent (2003–2010). Image analysis of CT scans was used to measure total fat index (cm2/m2), subcutaneous fat index (cm2/m2), visceral fat index (cm2/m2) and skeletal muscle index (cm2/m2). Systemic inflammatory response was measured by serum white cell count (WCC), neutrophil:lymphocyte ratio (NLR) and the Glasgow Prognostic Score (mGPS).ResultsThere were no relationships between any parameter of body composition and serum WCC or NLR. There was a significant relationship between low skeletal muscle index and an elevated systemic inflammatory response, as measured by the mGPS (p = 0.001). This was confirmed by linear relationships between skeletal muscle index and both C-reactive protein (r = −0.21, p = 0.005) and albumin (r = 0.31, p<0.001). There was no association between skeletal muscle index and tumour stage.ConclusionsThe present study highlights a direct relationship between low levels of skeletal muscle and the presence of a systemic inflammatory response in patients with primary operable colorectal cancer.

Anthropometric measurement of newborns of gestational diabetic mothers: does it indicate disproportionate fetal growth?

Anthropometric and skinfold measurements in 51 newborns of mothers with gestational diabetes were compared to reference ranges obtained from measurements of 501 newborns of nondiabetic mothers. In newborns of diabetic mothers, the means of fetal birth weight, biceps, subscapular, suprailiac skinfolds, and total fat index measurements (the sum of all measurements) were significantly greater than those of the nondiabetic group. While the means of fetal crown-heel length and head circumference did not significantly differ between the two groups, these findings suggest a disproportionate pattern of growth in fetuses of diabetic mothers, with increased tendency for deposition of subcutaneous fat. The studied population were then stratified into six categories according to birth weight percentiles. Within each category, the skinfold measurements in newborns of diabetic mothers were greater--though the difference was not statistically significant than that of nondiabetic mothers. It is possible, however, that in severe cases of maternal diabetes, the risks of complications, such as shoulder dystocia, increase with disproportionate deposition of subcutaneous fat. These risks appear greater than in fetuses of nondiabetic mothers at a comparable birthweight.

Anthropometric Measurements of Newborns of Gestational Diabetic Mothers

Anthropometric and skinfold measurements in 51 newborns of mothers with gestational diabetes were compared to reference ranges obtained from measurements of 501 newborns of nondiabetic mothers. In newborns of diabetic mothers, the means of fetal birth weight, biceps, subscapular, suprailiac skinfolds, and total fat index measurements (the sum of all measurements) were significantly greater than those of the nondiabetic group. While the means of fetal crown-heel length and head circumference did not significantly differ between the two groups, these findings suggest a disproportionate pattern of growth in fetuses of diabetic mothers, with increased tendency for deposition of subcutaneous fat. The studied population were then stratified into six categories according to birth weight percentiles. Within each category, the skinfold measurements in newborns of diabetic mothers were greater—though the difference was not statistically significant than that of nondiabetic mothers. It is possible, however, that in ...