scholarly journals Bosniak classification of renal cystic lesions according to multidetector computed tomography findings

2014 ◽  
Vol 47 (2) ◽  
pp. 115-121 ◽  
Author(s):  
Christiana Maia Nobre Rocha de Miranda ◽  
Carol Pontes de Miranda Maranhão ◽  
Carla Jotta Justo dos Santos ◽  
Igor Gomes Padilha ◽  
Lucas de Pádua Gomes de Farias ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Multidetector Computed Tomography ◽  
Renal Cysts ◽  
Clinical Approach ◽  
Cystic Lesions ◽  
Imaging Findings ◽  
Bosniak Classification ◽  
Computed Tomography Images

Renal cystic lesions are usually diagnosed in the radiologists' practice and therefore their characterization is crucial to determine the clinical approach to be adopted and prognosis. The Bosniak classification based on computed tomography findings has allowed for standardization and categorization of lesions in increasing order of malignancy (I, II, IIF, III and IV) in a simple and accurate way. The present iconographic essay developed with multidetector computed tomography images of selected cases from the archives of the authors' institution, is aimed at describing imaging findings that can help in the diagnosis of renal cysts.

scholarly journals Detection and Severity Classification of COVID-19 in CT Images Using Deep Learning

Diagnostics ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. 893
Author(s):  
Yazan Qiblawey ◽  
Anas Tahir ◽  
Muhammad E. H. Chowdhury ◽  
Amith Khandakar ◽  
Serkan Kiranyaz ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Neural Networks ◽  
Early Stage ◽  
Similarity Coefficient ◽  
Dice Similarity Coefficient ◽  
Lung Region ◽  
Computed Tomography Images ◽  
Feature Pyramid ◽  
Severity Levels

Detecting COVID-19 at an early stage is essential to reduce the mortality risk of the patients. In this study, a cascaded system is proposed to segment the lung, detect, localize, and quantify COVID-19 infections from computed tomography images. An extensive set of experiments were performed using Encoder–Decoder Convolutional Neural Networks (ED-CNNs), UNet, and Feature Pyramid Network (FPN), with different backbone (encoder) structures using the variants of DenseNet and ResNet. The conducted experiments for lung region segmentation showed a Dice Similarity Coefficient (DSC) of 97.19% and Intersection over Union (IoU) of 95.10% using U-Net model with the DenseNet 161 encoder. Furthermore, the proposed system achieved an elegant performance for COVID-19 infection segmentation with a DSC of 94.13% and IoU of 91.85% using the FPN with DenseNet201 encoder. The proposed system can reliably localize infections of various shapes and sizes, especially small infection regions, which are rarely considered in recent studies. Moreover, the proposed system achieved high COVID-19 detection performance with 99.64% sensitivity and 98.72% specificity. Finally, the system was able to discriminate between different severity levels of COVID-19 infection over a dataset of 1110 subjects with sensitivity values of 98.3%, 71.2%, 77.8%, and 100% for mild, moderate, severe, and critical, respectively.

Multidetector Computed Tomography and MR Imaging Findings in Mycotic Infections

2016 ◽  
Vol 54 (3) ◽  
pp. 503-518 ◽  
Author(s):  
Niranjan Khandelwal ◽  
Kushaljit Singh Sodhi ◽  
Anindita Sinha ◽  
Jyothi G. Reddy ◽  
Eshwar N. Chandra
Keyword(s):  
Computed Tomography ◽  
Mr Imaging ◽  
Multidetector Computed Tomography ◽  
Imaging Findings ◽  
Mycotic Infections

scholarly journals Mucinous Neoplasm of the Appendix as a Mimic of Cystic Adnexal Pathology

2018 ◽  
Vol 8 ◽  
pp. 32 ◽  
Author(s):  
Chris Hutchinson ◽  
Jonathan Lyske ◽  
Vimal Patel ◽  
Gavin Low
Keyword(s):  
Magnetic Resonance Imaging ◽  
Computed Tomography ◽  
Mucinous Tumor ◽  
Imaging Findings ◽  
Resonance Imaging ◽  
Mucinous Neoplasm ◽  
Ultrasound Computed Tomography ◽  
Adnexal Pathology

Pelvic pain presents a common diagnostic conundrum with a myriad of causes ranging from benign and trivial to malignant and emergent. We present a case where a mucinous neoplasm of the appendix acted as a mimic for tubular adnexal pathology on imaging. With the associated imaging findings on ultrasound, computed tomography, and magnetic resonance imaging, we wish to raise awareness of mucinous tumors of the appendix when tubular right adnexal pathology is present both in the presence of pelvic or abdominal pain or when noted incidentally. Tubular pathology such as uncomplicated paraovarian cysts or hydrosalpinx is frequently treated conservatively with long-interval follow-up imaging or left to clinical follow-up. Thus, if incorrectly diagnosed as tubular pathology, an appendix mucocele or mucinous neoplasm of the appendix is likely to be undertreated. We wish to clarify some of the confusion around nomenclature and classification of the multiple entities that are comprised by the terms mucocele and mucinous tumor of the appendix.

scholarly journals Multidetector computed tomography imaging of squamous cell carcinoma of buccal mucosa

2021 ◽  
Vol 7 (10) ◽  
pp. 1683
Author(s):  
Ashwini Sankhe ◽  
Neha Rahatekar ◽  
Diksha Mankar
Keyword(s):  
Computed Tomography ◽  
Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Multidetector Computed Tomography ◽  
Squamous Cell ◽  
Buccal Mucosa ◽  
Cost Effective ◽  
Imaging Findings ◽  
Proven Case ◽  
Stage Ivb

<p>This study aims at describing the role of multidetector computed tomography (MDCT) and CT imaging findings in evaluation of squamous cell carcinoma of buccal mucosa and its staging. Retrospective study of 40 patients who underwent MDCT and were histopathogically proven case of squamous cell carcinoma (SCC) of buccal mucosa patients were included in the study. Plain, arterial, venous phase and puff cheek CT cuts were taken from base of skull till clavicle. The imaging findings in squamous cell carcinoma (SCC) of the oral cavity allow the radiologist to accurately determine the extent and staging of disease thereby help clinicians plan appropriate treatment. 40 such patients were done in which majority of them are male patients-27 as compared to female patients-13. Among these 40 patients, 20 patients had stage IVB cancer, 13 patients had stage IVA, 5 patients had stage II and 2 patients had stage I cancer. No patient included in our study had stage III.  Patients’ recovery will depend on how early the cancer is found and staging gives an idea of patients’ possible outcomes. MDCT is non-invasive and cost-effective investigation which helps in evaluating squamous cell carcinoma of buccal mucosa and determines its stage of buccal cancer and guide the therapy accordingly.</p>

scholarly journals Diagnosis of COVID-19 Infection Using Three-Dimensional Semantic Segmentation and Classification of Computed Tomography Images

2021 ◽  
Vol 68 (2) ◽  
pp. 2451-2467
Author(s):  
Javaria Amin ◽  
Muhammad Sharif ◽  
Muhammad Almas Anjum ◽  
Yunyoung Nam ◽  
Seifedine Kadry ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Three Dimensional ◽  
Semantic Segmentation ◽  
Computed Tomography Images
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