scholarly journals 18F FDG PET-CT Imaging in Tuberculosis

2018 ◽  
Vol 19 (2) ◽  
pp. 135
Author(s):  
Shamim MF Begum ◽  
Md Abdus Shakur Khan

<p>Tuberculosis (TB) is the second highest infective cause of death worldwide and the global impact of TB is very important. Among all the TB burden WHO regions, 40% TB cases accounts in the South East Asian region. It has become a medical emergency not only in developing countries but also in some high-income countries. The rising incidence of multidrug resistance (MDR) TB and HIV co-infection has increased the morbidity and mortality of TB despite the availability of cheap and effective treatment. The diagnosis of active TB is almost similar over the world. Conventional radiography and Computed Tomography (CT) imaging play a crucial role in the diagnosis of TB. But these conventional imaging are often nonspecific and unable to provide a definitive diagnosis in cases of atypical and heterogeneous presentation. The signs of TB may mimic other diseases in conventional imaging. The introduction of new imaging tool Fluorine18 Fluorodeoxyglucose Positron Emission Tomography-Computed Tomography (18F FDG PET-CT) opens the door to evaluate its potentiality application in TB. The role of this new imaging tool in TB imaging has been well documented. 18F FDG PET-CT may assist in early diagnosis, facilitate differentiation between malignancies and TB, identification of extrapulmonary TB, staging of TB, and in assessment of treatment response. Therefore, familiarity with the spectrum of imaging features and understanding the use of 18F FDG PET-CT in diagnosis and management of TB is important, especially for referring clinicians and the reporting nuclear medicine specialists in TB burden country like Bangladesh. This article reviews the main applications, pattern of imaging spectrum with limitations of 18F FDG PET-CT in TB.</p><p>Bangladesh J. Nuclear Med. 19(2): 135-140, July 2016</p>

2016 ◽  
Vol 78 (5) ◽  
pp. 382-389 ◽  
Author(s):  
Aynur Ozen ◽  
Serdar Altinay ◽  
Ozgul Ekmekcioglu ◽  
Ramazan Albayrak ◽  
Ali Muhammedoglu ◽  
...  

2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Yuanyuan Jiang ◽  
Guozhu Hou ◽  
Zhaohui Zhu ◽  
Li Huo ◽  
Fang Li ◽  
...  

2014 ◽  
Vol 39 (3) ◽  
pp. 268-269 ◽  
Author(s):  
Sellam Karunanithi ◽  
Harmandeep Singh ◽  
Punit Sharma ◽  
Niraj Naswa ◽  
Rakesh Kumar

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Qiuyu Lin ◽  
Qianle Qi ◽  
Sen Hou ◽  
Zhen Chen ◽  
Nan Jiang ◽  
...  

This article explores the value of wall F-FDG PET/Cr imaging in the diagnosis of thyroid cancer, studies its ability to distinguish benign and malignant thyroid lesions, and seeks ways to improve the accuracy of diagnosis. The normal control group selected 40 patients who came to our center for physical examination. In the normal control group, the average value of the standard uptake value of both sides of the thyroid was used as the SUV of the thyroid gland and the highest SUV value of the patient's lesion (SUV max) represented the SUV of the lesion. After injection of imaging agent 18F-FD1G, routine imaging was performed at 1h, time-lapse imaging was performed at 2.5 h, and the changes with conventional imaging were compared to infer the benign and malignant lesions. We used SPSS software to carry out statistical analysis, respectively, carrying out analysis of variance, paired t-test, independent sample t-test, and linear correlation analysis. In the thyroid cancer group, 87.5% of the delayed imaging SUV was higher than the conventional imaging SUV, while 83.33% of the benign disease group had a lower SUV than the conventional imaging SUV. 18F-FDG PET/CT imaging has higher sensitivity and specificity for the diagnosis of recurrence or metastasis in patients with Tg positive. However, it has lower sensitivity and specificity for the diagnosis of 131I-Dx-WBS negative DTC and 18F-FDG PET/CT. The specificity increases with the increase of serum Tg level. The above results confirm that 18F-FDG PET/CT imaging is of great significance for the diagnosis of recurrence or metastasis in patients; with PET/CT imaging, the results changed 16.13% of the Tg-positive and 131I-Dx-WBS negative DTC patients' later treatment decision. The decision-making and curative effect evaluation have certain value.


2021 ◽  
pp. jnmt.121.262216
Author(s):  
Pokhraj Prakashchandra Suthar ◽  
Khushboo Gupta ◽  
Jagadeesh S Singh

2021 ◽  
Vol 49 (7) ◽  
pp. 030006052110298
Author(s):  
Shuo Zhou ◽  
Wenxin Chen ◽  
Meifu Lin ◽  
Guobao Chen ◽  
Cailong Chen ◽  
...  

Objective To investigate the characteristics of fluorine-18-deoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT) maximum standardized uptake value (SUVmax) in primary intestinal lymphoma (PIL) and its correlation with D-dimer and lactate dehydrogenase (LDH). Methods Fifty-two patients diagnosed with PIL from June 2016 to December 2019 were analyzed. All patients underwent 18F-FDG PET/CT. The relationships between SUVmax and different pathological subtypes, clinical stages and risk grades were analyzed. The correlations between SUVmax and Ki-67, LDH and D-dimer were determined. Additionally, PET/CT imaging results were collected from 35 patients with primary intestinal cancer (PIC) and compared with the imaging features of PIL. Results SUVmax was significantly different between PIL and PIC groups and various PIL pathological subgroups. Patients in the high-risk PIL group had markedly higher SUVmax values than the intermediate-risk and low-risk groups. A significant positive correlation was observed between SUVmax and Ki-67 in patients with PIL. SUVmax was significantly different between the elevated and normal D-dimer groups. D-dimer showed a positive correlation with SUVmax. Conclusion 18F-FDG PET/CT SUVmax reflects the aggressiveness of lymphoma to a certain degree, is correlated with Ki-67 and determines the risk grades of PIL. Moreover, it facilitates differential diagnosis, clinical staging and treatment based on D-dimer levels.


Medicine ◽  
2019 ◽  
Vol 98 (32) ◽  
pp. e16743
Author(s):  
Xiaofei Liu ◽  
Wenhua Zhu ◽  
Xiaohong Zhou ◽  
Hao Yao ◽  
Jiagui Su ◽  
...  

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