SDM College of Medical Sciences Unit of Shri Dharmasthala Manjunatheshwara University Department Radiodiagnosis and Imaging, Dharwad, Karnataka, India.
Nitte (Deemed to be University) KS Hegde Medical Academy (KSHEMA) Department of Medical Imaging Technology, Mangalore, Karnataka, India.
Kasturba Medical College, Mangalore, Manipal Academy of Higher Education Department of Medical Imaging Technology, Karnataka, India.
Nitte (Deemed to be University) KS Hegde Medical Academy (KSHEMA) Department of Medical Imaging Technology, Mangalore, Karnataka, India.
Nitte (Deemed to be University) KS Hegde Medical Academy (KSHEMA) Department of Medical Imaging Technology, Mangalore, Karnataka, India.
This review aims to evaluate the diagnostic performance of magnetic resonance imaging (MRI) with respect to the detection of lung cancer. Many studies have shown that computed tomography (CT) has increased sensitivity and specificity for the treatment of cancer. The major drawback of CT is the radiation dose imparted by it. x. In most advanced scenarios, Positron emission tomography (PET/MRI) is used. Our goal was also to evaluate the reasons for MRI being the choice of modality. The publications considered in the review were obtained from PubMed/MEDLINE, the Cochrane Library and EMBASE. Only studies published in the English language with the subject modality being MRI or PET/MRI were included. Review articles, case reports and conference reports were excluded from the study. A total of 3140 articles were identified, of which 120 publications were considered. All these studies had an overall surface aim to evaluate the diagnostic performance of MRI in detecting lung cancer. By comparing these publications, we can conclude that MRI can be a potential alternative to CT in detecting cancer lesions 3 mm in diameter or greater. Smaller lesions undetected by MRI were found to be benign and stable during follow-up, indicating the use of this technique for acceptable clinical management. Compared with CT, MRI does not provide any added benefits for lung cancer detection. It offered high sensitivity to large nodules of 3 mm or greater. However, CT has emerged to be beneficial in evaluating small nodules. A multisequence MRI protocol may be helpful in diagnosing lung metastasis with a sensitivity comparable to that of CT.
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