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The efficacy of botulinum toxin type A injection in the hamstring and calf muscles with and without serial foot casting in gait improvement in children with cerebral palsy
Amirsalari S, Dalvand H, Dehghan L, Feizy A, Hosseini Sa, Shamsoddini A,
Volume 69, Issue 8 (6 2011)
Abstract

Normal 0 false false false EN-US X-NONE AR-SA MicrosoftInternetExplorer4 Background: The goal of this study was to compare the efficacy of botulinum toxin type A (BTX-A) injection in the hamstring and calf muscles with and without ankle serial casting in the improvement of gait in children with cerebral palsy (CP).
Methods : This double-blind prospective clinical trial was performed on 25, 2 to 8-year-old children with hemiplegic or diplegic CP in Tehran, Iran in 2010. The participants were chosen by simple randomized sampling and were matched for age, gross motor function classification system (GMFCS) and type of CP and were randomly divided into two groups: children in the first group (13) only received BTX-A injection, but the second group (12) received BTX-A and serial foot casting starting one week after the injection.
Results : Comparison of the gross motor function, right and left knee spasticities and passive ROM of both knees between the two groups before and 1, 3, 6 and 12 months after the injections were not statistically significant (P>0.1). Furthermore, comparison of the right and left ankle spasticities and passive ROM before the injections and in1 and 3-month follow-ups did not show a statistically significant difference (P>0.1), but the differences were significant in 6 and 12-month follow-ups (P<0.05).
Conclusion: BTX-A injection with serial foot casting vs. BTX-A alone was more effective in decreasing spasticity and improving passive ROM in the ankle of children with CP, but such injections in the hamstrings were not useful in these regards.


Automatic segmentation of glioma tumors from BraTS 2018 challenge dataset using a 2D U-Net network
Zahra Papi , Iraj Abedi, Fatemeh Dalvand, Alireza Amouheidari,
Volume 80, Issue 4 (July 2022)
Abstract
Background: Glioma is the most common primary brain tumor, and early detection of tumors is important in the treatment planning for the patient. The precise segmentation of the tumor and intratumoral areas on the MRI by a radiologist is the first step in the diagnosis, which, in addition to the consuming time, can also receive different diagnoses from different physicians. The aim of this study was to provide an automated method for segmenting the tumor and intratumoral areas.
Methods: This is a fundamental-applied study that was conducted from May 2020 to September 2021 using multimodal MRI images of 285 patients with glioma tumors from the BraTS 2018 Database. This database was collected from 19 different MRI imaging centers, including multimodal MRI images of 210 HGG patients, and 75 LGG patients. In this study, a 2D U-Net architecture was designed with a patch-based method for training, which comprises an encoding path for feature extraction and a symmetrical decoding path. The training of this network was performed in three separate stages, using data from high-grade gliomas (HGG), and low-grade gliomas (LGG), and combining two groups of 210, 75, and 220 patients, respectively.
Results: The proposed model estimated the Dice Similarity Coefficient (DSC) results in HGG datasets 0.85, 0.85, 0.77, LGG datasets 0.80, 0.66, 0.51, and the combination of the two groups 0.88, 0.79, 0.77 for regions the whole tumor, tumor core, and enhancing region in the training dataset, respectively. The results related to Hussdorf Distance (HD) for HGG datasets were 8.24, 9.92, 4.43, LGG datasets 11.5, 11.31, 2.23, and the combination of the two groups 7.20, 8.82, 4.43 for regions the whole tumor, tumor core, and enhancing region in the training dataset, respectively.
Conclusion: Using the U-Net network can help physicians in the accurate segmentation of the tumor and its various areas, as well as increase the survival rate of these patients and improve their quality of life through accurate diagnosis and early treatment.

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