Study of computerized topography (CT Scan) in children with no previous cancer diagnosis in south Karnataka population - Retrospective study

2019 ◽  
Vol 12 (3) ◽  
pp. 122-124
Author(s):  
Srivatsa N K ◽  
Medicina ◽  
2020 ◽  
Vol 56 (4) ◽  
pp. 185 ◽  
Author(s):  
Cornel Savu ◽  
Alexandru Melinte ◽  
Radu Posea ◽  
Niculae Galie ◽  
Irina Balescu ◽  
...  

Introduction: The purpose of this paper is to study the type, the clinical presentation, and the best diagnostic methods for pleural solitary fibrous tumors (PSFTs), as well as to evaluate which is the most appropriate treatment, especially as PSFTs represent a rare occurrence in the thoracic pathology. Material and Method: A retrospective study was conducted on a group of 45 patients submitted to surgery between January 2015 and December 2019. In most cases, the diagnosis was established through imaging studies—thoracic computed tomography (CT) scan with or without contrast—but also using magnetic resonance imaging (MRI) or positron emission tomography (PET) scans when data from CT scans were scarce. All patients were submitted to surgery with curative intent. Results: Most patients included in this study were asymptomatic, with this pathology being more common in patients over 60 years of age, and more common in women. The occurrence of malignant PSFT in our study was 17.77% (8 cases). All cases were submitted to surgery with curative intent, with a single case developing further recurrence. In order to achieve complete resection en bloc resection of the tumor with the chest wall, resection was performed in two cases, while lower lobectomy, pneumectomy, and hemidiaphragm resection, respectively, were needed in each case. Postoperative mortality was null. Conclusion: Thoracic CT scan remains the most important imagistic investigation in diagnosing. MRI is superior to thoracic CT, especially in cases that involved the larger blood vessels within the thorax, spinal column, or diaphragm. Complete surgical resection is the gold standard in treatment of PSFT, and the prognosis in benign cases is very good.


Mathematics ◽  
2021 ◽  
Vol 9 (13) ◽  
pp. 1457
Author(s):  
Muazzam Maqsood ◽  
Sadaf Yasmin ◽  
Irfan Mehmood ◽  
Maryam Bukhari ◽  
Mucheol Kim

A typical growth of cells inside tissue is normally known as a nodular entity. Lung nodule segmentation from computed tomography (CT) images becomes crucial for early lung cancer diagnosis. An issue that pertains to the segmentation of lung nodules is homogenous modular variants. The resemblance among nodules as well as among neighboring regions is very challenging to deal with. Here, we propose an end-to-end U-Net-based segmentation framework named DA-Net for efficient lung nodule segmentation. This method extracts rich features by integrating compactly and densely linked rich convolutional blocks merged with Atrous convolutions blocks to broaden the view of filters without dropping loss and coverage data. We first extract the lung’s ROI images from the whole CT scan slices using standard image processing operations and k-means clustering. This reduces the search space of the model to only lungs where the nodules are present instead of the whole CT scan slice. The evaluation of the suggested model was performed through utilizing the LIDC-IDRI dataset. According to the results, we found that DA-Net showed good performance, achieving an 81% Dice score value and 71.6% IOU score.


2019 ◽  
Vol 84 ◽  
pp. 234-239 ◽  
Author(s):  
Shahram Kahkouee ◽  
Shaghayegh S. Khabbaz ◽  
Elham Keshavarz ◽  
Arda Kiani ◽  
Ghazal Hajinasrollah ◽  
...  

Author(s):  
Asmaa Namoos ◽  
Nour Eldin Abosamak ◽  
Maryam Abdelkarim ◽  
Rana Ramadan ◽  
Briona Phillips ◽  
...  

2019 ◽  
Vol 85 (3) ◽  
pp. 118-122
Author(s):  
Paul Hanna ◽  
Sang Lee ◽  
Manrique Guerrero ◽  
Lakeya O'Neal ◽  
Lauren Conway ◽  
...  

2011 ◽  
Vol 29 (7_suppl) ◽  
pp. 291-291 ◽  
Author(s):  
G. Jankilevich ◽  
F. Ogresta ◽  
L. Gennari ◽  
A. Ominetti ◽  
M. Bermudez ◽  
...  

291 Background: Positron emission tomography (PET) is an imaging technique whose principle is the detection of metabolic activity of tumor cells but in urology its use had been restricted due to urinary excretion of the radiotracer and overlap with urological structures, the use of hybrid PET (PET-CT) would allow its use for monitoring patients with urothelial tumors. Methods: Between 2007 and 2010 we performed PET-TC images in consecutive patients with suspected recurrences in CT scan or MRI. All patients had renal, bladder and uretral cancer and were treated with urothelial cancer diagnosis. We evaluate the usefulness of FDG PET-CT and its impact on behavior therapy in suspected recurrence in patients with urothelial carcinoma, compared with conventional studies. Results: 17 patients were studied for suspected recurrence. All patients had positive images previously on CT scan and MRI; positive PET-TC was observed in 14 and 3 studies were negative. The positive PET-CT showed more number of lesions and change the medical and surgical strategy. Of the three studies negative on PET- CT none had recurrence and remain disease free. PET/CT is in a great benefit to the detection recurrence in the follow up of patients with urothelial cancer diagnosis. These results showed an increased sensitivity and specificity over previous work with conventional PET technology. In the series studied, the implementation of PET-CT (FDG) in the follow up of patients with urothelial tumors were an useful tool. Conclusions: PET/CT is in a great benefit to the detection recurrence in the follow up of patients with urothelial cancer diagnosis. These results showed an increased sensitivity and specificity over previous work with conventional PET technology. In the series studied, the implementation of PET-CT (FDG) in the follow up of patients with urothelial tumors were an useful tool. However, multicenter studies and more patients are required to define its role. No significant financial relationships to disclose.


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