Hadis Sabour; Zahra Soltani; Sahar Latifi; Abbas Norouzi-Javidan; Farid Arman; Seyed Hassan Emami-Razavi; Seyed Mohammad Ghodsi; Mohammad Reza Hadian
Volume 14, Issue 3 , July 2015, , Pages 136-141
Abstract
Background: Health-related quality-of-life (HR-QOL) may be affected by various factors including injury-related characteristics among individuals with spinal cord injury (SCI). However, the impact of the influence of these variables has not yet been fully described in Iranian population. Here, we assessed ...
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Background: Health-related quality-of-life (HR-QOL) may be affected by various factors including injury-related characteristics among individuals with spinal cord injury (SCI). However, the impact of the influence of these variables has not yet been fully described in Iranian population. Here, we assessed the relationships between injury-related characteristics and HR-QOL among Iranian people with SCI.Methods: HR-QOL was assessed using short-form health survey (SF-36). Referred patients to Brain and Spinal Injury Research Center between 2010 and 2012 were invited to participate in this investigation. Injury-related characteristics including injury level and completeness, time since injury, plegia type, and American Spinal Injury Association (ASIA) Impairment Scale were evaluated.Results: Total of 104 patients (85 men and 19 women) entered the study. The majority of patients had a complete injury (77.9%). The most frequent ASIA score was A (75%), and the most common level of injury was at thoracic sections (61.5%). Lower injury levels were associated with higher scores in physical component summary (P = 0.040), mental component summary (P = 0.010) and subsequently total score (P = 0.006). Mean age and time since injury were 52.58 ± 12.69 and 10.88 ± 16.68 years, respectively, and were not related with HR-QOL (P = 0.70 and 0.220, respectively). There was no difference in terms of HR-QOL between patients with complete and incomplete injury. Paraplegic individuals had significantly higher scores in the domain of physical functioning compared to patients with tetraplegia (P = 0.007).Conclusion: lower injury level is a significant predictor of better QOL among individuals with SCI whereas other injury-related characteristics including completeness, time since injury and plegia type may not influence HR-QOL.
Mousa Reza Anbarloui; Seyed Mohammad Ghodsi; Alireza Khoshnevisan; Masoud Khadivi; Sina Abdollahzadeh; Ahmad Aoude; Soheil Naderi; Zeynab Najafi; Morteza Faghih-Jouibari
Volume 14, Issue 1 , March 2015, , Pages 29-34
Abstract
Background: Distinction between radiation necrosis and recurrence of intraparenchymal tumors is necessary to select the appropriate treatment, but it is often difficult based on imaging features alone. We developed an algorithm for analyzing magnetic resonance spectroscopy (MRS) findings and studied ...
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Background: Distinction between radiation necrosis and recurrence of intraparenchymal tumors is necessary to select the appropriate treatment, but it is often difficult based on imaging features alone. We developed an algorithm for analyzing magnetic resonance spectroscopy (MRS) findings and studied its accuracy in differentiation between radiation necrosis and tumor recurrence.Methods: Thirty-three patients with a history of intraparenchymal brain tumor resection and radiotherapy, which had developed new enhancing lesion were evaluated by MRS and subsequently underwent reoperation. Lesions with Choline (Cho)/N- acetyl aspartate (NAA) > 1.8 or Cho/Lipid > 1 were considered as tumor recurrence and the remaining as radiation necrosis. Finally, pre-perative MRS diagnoses were compared with histopathological report.Results: The histological diagnosis was recurrence in 25 patients and necrosis in 8 patients. Mean Cho/NAA in recurrent tumors was 2.72, but it was 1.46 in radiation necrosis (P < 0.01). Furthermore, Cho/Lipid was significantly higher in recurrent tumors (P < 0.01) with the mean of 2.78 in recurrent tumors and 0.6 in radiation necrosis. Sensitivity, specificity, and diagnostic accuracy of the algorithm for detecting tumor recurrence were 84%, 75% and 81%, respectively. Conclusion: MRS is a safe and informative tool for differentiating between tumor recurrence and radiation necrosis.
