Title |
PET/CT imaging in lung cancer: indications and findings*
|
---|---|
Published in |
Jornal de Pneumologia, January 2015
|
DOI | 10.1590/s1806-37132015000004479 |
Pubmed ID | |
Authors |
Bruno Hochhegger, Giordano Rafael Tronco Alves, Klaus Loureiro Irion, Carlos Cezar Fritscher, Leandro Genehr Fritscher, Natália Henz Concatto, Edson Marchiori |
Abstract |
The use of PET/CT imaging in the work-up and management of patients with lung cancer has greatly increased in recent decades. The ability to combine functional and anatomical information has equipped PET/CT to look into various aspects of lung cancer, allowing more precise disease staging and providing useful data during the characterization of indeterminate pulmonary nodules. In addition, the accuracy of PET/CT has been shown to be greater than is that of conventional modalities in some scenarios, making PET/CT a valuable noninvasive method for the investigation of lung cancer. However, the interpretation of PET/CT findings presents numerous pitfalls and potential confounders. Therefore, it is imperative for pulmonologists and radiologists to familiarize themselves with the most relevant indications for and limitations of PET/CT, seeking to protect their patients from unnecessary radiation exposure and inappropriate treatment. This review article aimed to summarize the basic principles, indications, cancer staging considerations, and future applications related to the use of PET/CT in lung cancer. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Saudi Arabia | 1 | 33% |
Unknown | 2 | 67% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 3 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Russia | 1 | <1% |
Unknown | 122 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 19 | 15% |
Student > Master | 15 | 12% |
Student > Bachelor | 14 | 11% |
Student > Postgraduate | 8 | 7% |
Researcher | 7 | 6% |
Other | 18 | 15% |
Unknown | 42 | 34% |
Readers by discipline | Count | As % |
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Medicine and Dentistry | 43 | 35% |
Nursing and Health Professions | 6 | 5% |
Engineering | 6 | 5% |
Computer Science | 4 | 3% |
Biochemistry, Genetics and Molecular Biology | 4 | 3% |
Other | 11 | 9% |
Unknown | 49 | 40% |