Predicting fibrosis progression in non-alcoholic fatty liver disease patients using the FAST Score: A paired biopsy study.

Background and Aim: This study aimed to investigate the predictive value of various non-invasive scores for identifying the progression of hepatic fibrosis over time in patients with Non-Alcoholic Fatty Liver Disease (NAFLD). Materials and Methods: We examined 69 patients with NAFLD who had undergone two liver biopsies at an average interval of 21.3±9.7 months. Progression and regression of fibrosis were defined as an increase or decrease of at least one stage in fibrosis between the initial and follow-up biopsies, respectively. The Fibrosis-4 Index (FIB-4), NAFLD Fibrosis Score (NFS), Agile 3+, Agile 4, and FibroScan-AST (FAST) scores were calculated at the initial biopsy. Results: Comparison of paired biopsies revealed that 45% of participants (n=31) exhibited no change in fibrosis stages, 26% (n=18) experienced progression, and 29% (n=20) demonstrated regression. Multivariable logistic regression analysis identified the FAST score as the only independent predictor of progressive fibrosis, with the odds increasing by 19% (95% CI: 8-38%, p<0.05) for each unit increase in the FAST score at the initial biopsy. No independent predictors for fibrosis regression were identified. Conclusion: Higher baseline FAST scores were associated with an increased likelihood of fibrosis progression, independent of other variables. Thus, the FAST score could serve as both a diagnostic and prognostic tool for fibrosis in patients with NAFLD.

Age-adjusted Charlson Comorbidity Index is a valuable prognostic tool in operable soft tissue sarcoma of trunk and extremities.

BACKGROUND: Advanced age and presence of comorbidities affect prognosis and treatment decisions in patients with soft tissue sarcoma (STS). However, coeffect of age and comorbidities is still unknown. We aimed to investigate prognostic value of age-adjusted Charlson Comorbidity Index (ACCI) in trunk and extremity STS operated with curative intent. HYPOTHESIS: Preoperative ACCI might predict survival outcomes independently in patients with STS of trunk and extremities. PATIENTS AND METHODS: The study included 151 patients and ACCI was calculated for each patient. We categorized the patients into two groups according to median ACCI. We retrospectively collected data about clinicopathologic and treatment-related factors, and evaluated potential prognostic factors for disease-free survival (DFS) and overall survival (OS) using univariate and multivariate analyses. RESULTS: Median age was 50 (18-86) years. There were 89 male and 62 female patients. Lower extremities were the most common tumor sites (73.5%). Most of the patients had high grade tumors (84.1%) and stage 3 disease (66.9%). Radiotherapy and chemotherapy were carried out in 106 and 58 patients, respectively. Overall prevalence of comorbidity was 29.1%. Median ACCI was 3 (2-9). Older age (p<0.001), worse performance status (p<0.001), larger tumor size (p=0.03), higher grade tumors (p=0.03) and advanced stage (p=0.04) were associated with higher ACCI (≥3). Median follow-up time was 32 months, 50.3% of patients had disease recurrence, and 35.8% died. Median DFS (p=0.001) and OS (p=0.001) of patients with low ACCI (<3) were significantly longer than patients with high ACCI. Multivariate analysis determined ACCI as an independent prognostic indicator for both DFS (HR 1.72, p=0.02) and OS (HR 2.02, p=0.04). DISCUSSION: ACCI is a valuable prognostic tool to be used in the preoperative setting of patients with STS. Higher ACCI was found to be independently associated with worse survival outcomes. For each patient with STS, evaluating comorbidities and combining them with age appears to be a critical step in modifying therapy options. LEVEL OF EVIDENCE: IV, retrospective observational study.

Role of baseline 68Ga-PSMA PET/CT-derived whole-body volumetric parameters in predicting survival outcomes of metastatic castration-resistant prostate cancer patients receiving first-line treatment.

OBJECTIVE: We aimed to evaluate whether baseline 68Ga-PSMA PET/CT-derived whole-body volumetric parameters could be used as predictive biomarkers for survival in metastatic castration-resistant prostate cancer (mCRPC) patients receiving first-line treatment. MATERIALS AND METHODS: This retrospective study included 54 mCRPC patients, who underwent baseline 68Ga-PSMA PET/CT imaging within 1 month before starting first-line treatment. Pre-treatment prostate-specific antigen (PSA) levels and treatments were recorded. SUVmax, SUVmean, whole-body PSMA-derived tumor volume (wbPSMA-TV), and whole-body total lesion PSMA (wbTL-PSMA) were calculated for all patients. PSA response was defined as a decline of ≥ 50% from pre-treatment value at 12 weeks. Overall survival (OS) was measured from the start of the first-line treatment for mCRPC. RESULTS: Docetaxel and abiraterone/enzalutamide were administered to 32 and 22 patients in the first-line setting, respectively. wbPSMA-TV (rho = 0.582, p = 0.004) and wbTL-PSMA (rho = 0.564, p = 0.007) showed moderate positive correlations with PSA levels. Older age (p = 0.02), higher wbPSMA-TV (p = 0.007), higher PSA (p = 0.01), higher number of bone metastases (p = 0.02), and lack of PSA response (p = 0.03) were significantly associated with an increased risk of mortality. Multivariate analysis determined wbPSMA-TV (HR: 1.003, 95% CI 1.001-1.004, p = 0.001) and PSA response (HR: 2.241, 95% CI 1.189-4.222, p = 0.01) as independent predictors of OS. CONCLUSION: The wbPSMA-TV may be a useful tool to reflect tumor burden and predict survival outcomes in patients with mCRPC.

Impact of Skeletal Muscle Measurements by Chest Computed Tomography on Survival and Postoperative Complications in Patients with Soft Tissue Sarcoma.

This study aims to evaluate whether sarcopenia, measured by chest computed tomography (CT), affects survival outcomes and postoperative complications in soft tissue sarcoma (STS) patients undergoing surgery. In this retrospective study, CT scans of 79 patients were reviewed to measure pectoralis and T12 vertebra muscle area. Both were then adjusted for height (cm2/m2) as pectoralis muscle index (PMI) and T12 vertebra muscle index (TMI). Analyses were performed by dichotomizing muscle indices at gender-specific 50th percentile; PMI and TMI < 50th percentile were defined as low, and ≥50th percentile as high. Overall postsurgical complication rate (PCR) was 16%. Median length of hospital stay (LOHS) was 10 days (3-90). PMI and TMI were significantly lower in women (p = 0.02, p = 0.04). Median body mass index was significantly higher in high PMI and TMI groups (p = 0.01 for both). PCR and LOHS were similar between low and high PMI and TMI groups. Median follow-up was 29 months, 37 patients had recurrence and 23 died. No significant difference was noted between low and high PMI and TMI groups, in terms of disease-free or overall survival. PMI and TMI as measured by chest CT had no impact on survival outcomes or postoperative complications in localized STS.