Showing 3 results for Zeinalkhani
Peyman Kamali Hakim, Mehrzad Mehdizade, Fahimeh Zeinalkhani, Arian Karimi Rouzbahani, Hadise Zeinalkhani, Hamid Rajabi, Hamed Ghorani, Sina Delazar,
Volume 38, Issue 1 (1-2024)
Abstract
Background: Developmental dysplasia of the hip (DDH) is used to describe a spectrum of structural abnormalities that involve the growing hip. Early diagnosis and treatment are critical to providing the best possible functional outcome. This study aimed to evaluate the prevalence of DDH in neonates with and without risk factors and determine the role of ultrasound screening on the initial diagnosis.
Methods: This prospective cross-sectional study was conducted on 399 infants at the Pediatric Treatment Center, Tehran University of Medical Sciences, between December 2015 and June 2016. Infants with suspected DDH who underwent hip ultrasonography were included, and the presence or absence of each risk factor was documented according to the checklist. The ultrasound findings were also registered in the checklists. The odds ratio (OR) of each risk factor for DDH was calculated. The collected data were analyzed by SPSS software version 18 at a 0.05 significance level.
Results: In 16 months of study, 174 (43.6%) male and 225 (56.4%) female infants under the age of 18 months were studied. Risk factors were detected in the medical history of 329 infants. Out of them, 230(57.6%) were firstborn children, 7 (1.75%) had a positive family history of DDH, and 26 (6.5%) had limb anomalies. There was also a history of breech presentation in 16 (4.01%) and a history of oligohydramnios in 21 (5.1%) of infants. The prevalence of DDH was 25.8% in infants with risk factors and 2.8% in those without risk factors. (OR = 11.84, P < 0.05).
Conclusion: In this study, the frequency of DDH was significantly higher in infants with risk factors. The female gender and limb anomalies were stronger risk factors for DDH. Overall, ultrasound showed great potential for DDH screening.
Sara Parviz, Fahimeh Zeinalkhani, Masoumeh Gity, Hamidreza Saligheh Rad , Anahita Fathi Kazerooni, Fatemeh Nili, Peyman Kamali Hakim, Hadise Zeinalkhani,
Volume 38, Issue 1 (1-2024)
Abstract
Primitive neuroectodermal tumors (PNET) are a family of poorly differentiated malignant neoplasms of neuroectodermal origin. According to the location of origin, PNETs could be further categorized as central or peripheral. Peripheral PNET (pPNET) is an uncommon type that accounts for 1% of all soft tissue sarcomas and occurs outside the central and sympathetic nervous systems. Ovarian PNET is a very rare tumor with a high mortality rate. We report a case of pPNET originating from the pelvic cavity of a young woman. Ultrasound and Magnetic Resonance Imaging (MRI) findings demonstrated the presence of a high-grade malignant ovarian tumor. On microscopic evaluation, the tumor was composed of solid nests and sheets of small rounded cells, and on Immunohistochemical (IHC) evaluation, the tumor cells showed intense cell-membranous immunoactivity for MIC2 protein (CD99).
In the differential diagnosis of any invasive pelvic tumor in young women, pPNET should be considered.
Mahdiss Mohamadianamiri, Mohammadreza Babaei, Arash Mohazzab, Fahimeh Zeinalkhani, Peyman Kamali Hakim, Somayeh Ebadi Soflo, Fatemeh Jayervand, Maryam Noroozi,
Volume 39, Issue 1 (1-2025)
Abstract
Background: Ovarian cancer is a leading cause of death among gynecological cancers. The prognosis depends mainly on the diagnosis stage. Sarcopenia, characterized by muscle wasting, significantly impacts cancer prognosis. This study aimed to examine the importance of the psoas muscle index in predicting outcomes for ovarian cancer patients.
Methods: We conducted a retrospective cohort study with 73 patients treated between 2011 and 2021 at Akbarabadi Obstetrics and Gynecology Hospital and Rasool-Akram General Hospital in Tehran, Iran. The psoas muscle index was calculated from the sectional area of the psoas muscle at the third lumbar vertebra using computed tomography (CT) and magnetic resonance imaging (MRI) scans. Data collection included demographic information, cancer stage, pathology, and treatment outcomes. Statistical analyses, including logistic and Cox regressions, evaluated the association between the psoas muscle index and patient outcomes.
Results: The psoas muscle index was significantly higher in patients without treatment failure (173 ± 28.94) compared with those with treatment failure (149.75 ± 20.39) (P = 0.016). Logistic regression analysis indicated that an increased psoas muscle index was an independent predictor for better survival outcomes (odds ratio [OR], 0.891 [95% CI, 0.786-1.01]).
Conclusion: The findings highlight the importance of sarcopenia in the prognosis of ovarian cancer. This study supports the potential of the psoas muscle index as a noninvasive and accessible prognostic tool in clinical practice.
