RESUMEN

Introduction: Antineutrophil cytoplasmic antibody (ANCA)-associated vasculitis (AAV) frequently leads to mononeuritis multiplex, which are characterized by distal weakness associated with sensory disturbances. Although AAV has also been reported to be associated with myopathy, the pathogenesis and characteristics remain unclear. We aimed to show the clinical and laboratory findings in AAV-associated myopathy. Methods: This retrospective single-center study included patients with the diagnosis of AAV who had been admitted to the neurology department and had biopsy specimens of muscle and/or nerve tissue. Results: We identified four patients with a distinct clinical presentation of muscle weakness in the trunk and proximal limbs. The weakness resembled that of inflammatory muscle disease. These patients denied symptoms associated with neuropathy, and had normal serum creatine kinase (CK) levels. Needle electromyography (needle EMG) showed spontaneous electrical activity at rest, and results of magnetic resonance imaging (MRI) suggested inflammatory myopathy. Muscle biopsy specimens from all four patients revealed vasculitis and inflammation in proximity to the affected vessels, without any discernible characteristics of other myopathies. The patients also complained of symptoms affecting other organs, such as the ears and kidneys, which is typical of AAV cases. Remission induction therapy, such as cyclophosphamide pulse therapy in addition to oral prednisolone, were effective for all four patients. However, relapses occurred in two patients during maintenance therapy and two patients died of aspiration pneumonia. Discussion: The clinical course of our patients might represent a subtype of AAV that is characterized by muscle weakness of the trunk and proximal extremities and arises from vasculitis within the muscles. The clinical manifestations of our patients were similar to those of patients with inflammatory myopathy with regard to the distribution of muscle weakness, MRI and needle EMG findings. However, there are notable differences between AAV associated myopathy vs. inflammatory myositis like dermatomyositis; (1) the absence of elevated CK levels, (2) the presence of complications in other organs, (3) distinct pathological findings, and (4) severe outcomes. Awareness that AAV patients with muscle involvement could have a subtype of AAV that seriously affects various organs is critical for an accurate diagnosis and effective therapeutic management.

RESUMEN

INTRODUCTION: Sarcopenia is a muscle disease that involves loss of muscle strength and physical function and is associated with adverse health effects. Even though sarcopenia has attracted increasing attention in the literature, many research findings have not yet been translated into clinical practice. In this article, we aim to validate a deep learning neural network for automated segmentation of L3 CT slices and aim to explore the potential for clinical utilization of such a tool for clinical practice. MATERIALS AND METHODS: A deep learning neural network was trained on a multi-centre collection of 3413 abdominal cancer surgery subjects to automatically segment muscle, subcutaneous and visceral adipose tissue at the L3 lumbar vertebral level. 536 Polytrauma subjects were used as an independent test set to show generalizability. The Dice Similarity Coefficient was calculated to validate the geometric similarity. Quantitative agreement was quantified using Bland-Altman's Limits of Agreement interval and Lin's Concordance Correlation Coefficient. To determine the potential clinical usability, randomly selected segmentation images were presented to a panel of experienced clinicians to rate on a Likert scale. RESULTS: Deep learning results gave excellent agreement versus a human expert operator for all of the body composition indices, with Concordance Correlation Coefficient for skeletal muscle index of 0.92, Skeletal muscle radiation attenuation 0.94, Visceral Adipose Tissue index 0.99 and Subcutaneous Adipose Tissue Index 0.99. Triple-blinded visual assessment of segmentation by clinicians correlated only to the Dice coefficient, but had no association to quantitative body composition metrics which were accurate irrespective of clinicians' visual rating. CONCLUSION: A deep learning method for automatic segmentation of truncal muscle, visceral and subcutaneous adipose tissue on individual L3 CT slices has been independently validated against expert human-generated results for an enlarged polytrauma registry dataset. Time efficiency, consistency and high accuracy relative to human experts suggest that quantitative body composition analysis with deep learning should is a promising tool for clinical application in a hospital setting.

Asunto(s)

RESUMEN

INTRODUCTION: Following the consensus definition of cancer cachexia, more studies are using CT scan analysis of truncal muscles as a marker of muscle wasting. However, how CT-derived body composition relates to function, strength and power in patients with cancer is largely unknown. AIMS: We aimed to describe the relationship between CT truncal (L3) skeletal muscle index (SMI) and MRI quadriceps cross sectional area with lower limb strength, power and measures of complex function. METHODS: Patients undergoing assessment for potentially curative surgery for oesophagogastric or pancreatic cancer were recruited from the regional upper gastrointestinal (UGI) or hepatopancreaticobiliary (HPB) multi-disciplinary team meetings. Maximum Isometric Knee Extensor Strength (IKES) and Maximum Leg Extensor Power (Nottingham Power Rig) (LEP) were used as measures of lower limb performance. Both Sit to Stand (STS) and Timed Up and Go (TUG) were used as measures of global complex muscle function. Muscle SMI was measured from routine CT scans at the level of the third lumbar vertebrae (L3) and MRI scan was used for the assessment of quadriceps muscles. Linear regression analysis was performed for CT SMI or MRI quadriceps as a predictor of each measure of performance. RESULTS: Forty-four patients underwent assessment. Height and weight were significantly related to function in terms of quadriceps power, while only weight was associated with strength (P < 0.001). CT SMI was not related to measures of quadriceps strength or power but had significant association with more complex functional measures (P = 0.006, R2 = 0.234 and 0.0019, R2 = 0.175 for STS and TUG respectively). In comparison, both gross and fat-subtracted measures of quadriceps muscle mass from MRI were significantly correlated with quadriceps strength and power (P < 0.001), but did not show any significant association with complex functional measures. CONCLUSION: CT SMI and MRI quadriceps have been shown to reflect different aspects of functional ability with CT SMI being a marker of global muscle function and MRI quadriceps being specific to quadriceps power and strength. This should therefore be considered when choosing outcome measures for trials or definitions of muscle mass and function.

Asunto(s)

Asunto(s)

RESUMEN

OBJECTIVES: Depletion in skeletal muscle is closely associated with limited physical ability and high mortality. In this study, we evaluated the prognostic significance of skeletal muscle depletion in patients with early-stage non-small-cell lung cancer. METHODS: A retrospective analysis of patients with pathological stages I-II lung cancer, who underwent curative resection between 2009 and 2013, was conducted. The truncal muscle index (TMI) (area/height2) at the first lumbar vertebral level was measured by preoperative axial computed tomography. Overall survival and recurrence-free survival were compared between the lowest gender-specific quartile of the TMI and the other quartiles. RESULTS: A total of 314 subjects were included in the study. The cumulative 5-year recurrence-free and overall survival rates were significantly shorter in patients with lower TMIs (69% vs 83.5%, P = 0.028; 64.8% vs 80.1%, P = 0.003, respectively). In multivariable models, the TMI was identified as an independent prognostic factor for overall survival (P = 0.017, hazard ratio 1.84, 95% confidence interval 1.12-3.05), after adjusting for age, gender, preoperative serum albumin, carcinoembryonic antigen, neutrophil to lymphocyte ratio and pathological stage. CONCLUSIONS: A low preoperative TMI was associated with a poor postoperative outcome in patients with early-stage non-small-cell lung cancer. This factor may be included in the preoperative assessment of patients, for whom surgical intervention is considered.

Asunto(s)

RESUMEN

A 33-year-old woman developed progressive weakness in the proximal limbs with myalgia and morning stiffness. Physical examination revealed low-grade fever, heliotrope eyelids and mechanic's hand. On neurological examination, she showed Medical Research Council grade 4 weakness in the shoulder girdle, proximal limb muscles, and grade 4 weakness in the abdominis muscle according to Daniels's scale. Laboratory tests revealed elevated serum creatine kinase (6,824 IU/l) and positive anti-PL-7 antibody. A needle electromyography study detected short motor unit potentials of myogenic pattern with abundant fibrillations and positive sharp waves. Whole-body MRI detected high intensity signals in the muscles of the shoulder girdle, proximal limbs, and thoracoabdominal trunk on short-tau inversion recovery sequence images. We diagnosed her as anti-PL-7 myopathy. After treatments with steroid, immunosuppressant, and immunoglobulin, her symptoms improved and abnormal MRI signals were normalized. Although MRI is known to be useful for detection of asymptomatic muscular inflammation in myositis, thoracoabdominal muscles are generally not covered in routine evaluation. To our knowledge, ours is the first case to detect acute inflammation of the thoracoabdominal muscles in antisynthetase syndrome. The present study suggests that whole-body MRI is useful for comprehensive evaluation of muscular involvement and longitudinal assessment for treatment outcomes.

Asunto(s)