Background and Objectives: Both chronic pancreatitis (CP) and pancreatic ductal adenocarcinoma (PDAC) may lead to cachexia, sarcopenia, and osteoporosis due to different mechanisms. Neither patient gender, age, nor body weight are good predictors of these metabolic changes having a significant negative impact on the quality of life (QOL) and treatment outcomes. The aim of this study was to evaluate radiological changes in body composition and to compare them with manifestations of exocrine and endocrine pancreatic insufficiency, body mass, and QOL among patients with CP and PDAC. Materials and Methods: Prospectively collected data of 100 patients with diagnosed CP or PDAC were used for analysis. All patients underwent dual-energy X-ray absorptiometry (DXA), computed tomography (CT), and magnetic resonance imaging (MRI). The European Organization for Research and Treatment of Cancer Quality of Life Questionnaire-C30 (EORTC QLQ-C30) was used to assess QOL. Diabetes and changes in fecal elastase-1 were also assessed. Results: There was no significant difference in skeletal muscle mass (SMM) among patients with CP and PDAC (p = 0.85). Significantly more underweight patients had low SMM (p = 0.002). Patients with CP had more pronounced pancreatic fibrosis (PF) (p < 0.001). Data showed a significant relationship between a high degree of PF and occurrence of diabetes (p = 0.006) and low fecal elastase-1 levels (p = 0.013). A statistically significant lower QOL was determined in patients with PF ≥ 50% and in the CP group. Conclusions: Sarcopenia and osteoporosis/osteopenia are highly prevalent among patients with chronic pancreatitis and pancreatic cancer, and CT- and MRI-based assessment of body composition and pancreatic fibrosis could be a potentially useful tool for routine detection of these significant metabolic changes.

Objectives The aim of this study was to evaluate the utility of magnetic resonance imaging (MRI) for the noninvasive assessment of pancreatic fibrosis (PF). Methods Fifty-two patients who underwent surgical resection of the pancreas, histological examination of resection margins, preoperative abdominal MRI, and fecal elastase-1 test were enrolled in the study. Pancreatic tissue was identified on the MRI T1-, T2-, and diffusion-weighted imaging sequences. Apparent diffusion coefficient (ADC) was measured at the expected resection margin of the pancreas. Results There was a significant negative correlation between the ADC mean and histologically determined PF (r = −0.752, P = 0.001). For equal to or greater than 25% of PF, the ADC cutoff value was 1.331 or less, with a sensitivity of 77% and specificity of 88%. The unenhanced T1-weighted signal intensity ratio (T1SI) cutoff value was 172.1 or less. For equal to or greater than 50% of PF, the ADC cutoff value was 1.316 or less with a sensitivity of 85% and specificity of 88%. The highest sensitivity was obtained by combining ADC and T1SI values. Conclusions Combining both the ADC and T1SI measurement allows the detection of early PF with good sensitivity and specificity. Magnetic resonance imaging has the advantage of being noninvasive and widely used in the clinical setting, thus making our results easily transferable to routine clinical practice.

Leiomyosarcoma is a rare tumor of mesenchymal origin usually affecting the inferior vena cava. Early diagnosis is essential before surgical resection, which is the only therapeutic modality that prolongs patients’ survival. Ultrasonography, computer tomography, and magnetic resonance imaging are the main imaging modalities in this case. Combined with guided biopsies, they form the mainstay of reliable diagnosis. We report a case with retroperitoneal tumor arising from the middle segment of the inferior vena cava. Radiological examination revealed retroperitoneal tumor and helped to choose surgical treatment. Histopathological examination confirmed the diagnosis of leiomyosarcoma of the inferior vena cava.

Objectives Sarcopenia is a serious but often overlooked complication of chronic pancreatitis (CP). We investigated the prevalence and risk factors for sarcopenia in patients with CP and determined the utility of a computed tomography (CT)-based method, based on psoas muscle measurements, for easy and clinical feasible diagnosis of sarcopenia. Methods This was a retrospective multicenter study of 265 patients with CP. We used segmentation of CT images to quantify skeletal muscle mass and diagnose sarcopenia. On the same CT image as used for muscle segmentation, psoas muscle thickness and cross-sectional area were measured and receiver operating characteristic analyses defined age and sex-specific cutoffs for diagnosing sarcopenia. Results The prevalence of sarcopenia was 20.4%. The optimal height-adjusted psoas muscle cross-sectional area cutoff for diagnosing sarcopenia was 3.3 cm2/m2 in males and 2.5 cm2/m2 in females. The corresponding area under the receiver operating characteristic curves were 0.8 and 0.9, with sensitivities of 84% and 81% and specificities of 62% and 81%, respectively. Comparable diagnostic performance characteristics were observed for psoas muscle thickness. Conclusions Sarcopenia is present in 1 of 5 patients with CP. Assessment of psoas muscle parameters provides a clinical feasible method to diagnose sarcopenia.

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