Publications by authors named "Ramita Shahabifar"

2 Publications

  • Page 1 of 1

Distinguishing Adenocarcinomas from Granulomas in the CT scan of the chest: performance degradation evaluation in the automatic segmentation framework.

BMC Res Notes 2021 Mar 9;14(1):87. Epub 2021 Mar 9.

Kerman University Of Medical Science, Kerman, Iran.

Objective: The most common histopathologic malignant and benign nodules are Adenocarcinoma and Granuloma, respectively, which have different standards of care. In this paper, we propose an automatic framework for the diagnosis of the Adenocarcinomas and the Granulomas in the CT scans of the chest from a private dataset. We use the radiomic features of the nodules and the attached vessel tortuosity for the diagnosis. The private dataset includes 22 CTs for each nodule type, i.e., adenocarcinoma and granuloma. The dataset contains the CTs of the non-smoker patients who are between 30 and 60 years old. To automatically segment the delineated nodule area and the attached vessels area, we apply a morphological-based approach. For distinguishing the malignancy of the segmented nodule, two texture features of the nodule, the curvature Mean and the number of the attached vessels are extracted.

Results: We compare our framework with the state-of-the-art feature selection methods for differentiating Adenocarcinomas from Granulomas. These methods employ only the shape features of the nodule, the texture features of the nodule, or the torsion features of the attached vessels along with the radiomic features of the nodule. The accuracy of our framework is improved by considering the four selected features.
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http://dx.doi.org/10.1186/s13104-021-05502-1DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7942003PMC
March 2021

Comparing the Duration of Spinal Anesthesia Induced With Bupivacaine and a Bupivacaince-Lidocaine Combination in Trans-Urethral Resection of the Prostate (TURP).

Anesth Pain Med 2015 Aug 22;5(4):e25675. Epub 2015 Aug 22.

Student Research Committee, Namazi Hospital, Shiraz University of Medical Sciences, Shiraz, Iran.

Background: Spinal anesthesia is a safe anesthetic mode for transurethral prostate resection (TUPR). There are several studies assessing the effect of bupivacaine, lonely or accompanied by other drugs, on short duration operations. However, there is controversy regarding the exact combination.

Objectives: The aim of the study was to compare the effects of spinal anesthesia with bupivacaine and low dose lidocaine with bupivacaine alone on postoperative pain in those undergoing transurethral resection of prostate (TURP).

Materials And Methods: This was a randomized clinical trial performed in Shiraz university of medical sciences during one year. Eighty men scheduled for TURP were randomly assigned to receive spinal anesthesia with 1.5 mL bupivacaine 0.6% and 0.6 mL Lidocaine 1% or spinal anesthesia with 1.5 mL bupivacaine 0.5% in combination with 0.6 mL normal saline. The primary endpoint was the time lag between induction of spinal anesthesia and reaching the highest spinal block level. We also recorded the duration of spinal block declining to L1 level, operation duration and the admission duration.

Results: Both study groups were comparable regarding the baseline characteristics. We did not find any difference between the two study groups regarding the duration of anesthetic block reaching the maximum level (P = 0.433) and duration of decreasing it to L1 (P = 0.189). The course of postoperative recovery and duration of hospital admission were also comparable between the groups (P = 0.661).

Conclusions: Lidocaine does not have additive effects on duration and quality of spinal anesthesia with bupivacaine in those undergoing TURP.
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http://dx.doi.org/10.5812/aapm.25675DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4604291PMC
August 2015