Could new reconstruction CT techniques challenge MRI for the detection of brain metastases in the context of initial lung cancer staging?

Background & Objective: To evaluate the application value of dynamic enhanced magnetic resonance imaging (DCE-MRI) in the clinical diagnosis in hospital based on the fuzzy C-means clustering algorithm and conduct its cost-benefit analysis in practice. Methods: This study was conducted from October 11th 2020 to November 25, 2020. Eighteen patients with lung cancer confirmed by pathology were collected and examined by DCE-MRI one day before and one month after surgery using a fuzzy C-means clustering algorithm. And then, taking Guang’an District People’s Hospital as an example, the present paper conducts the cost-benefit analysis with the utilization of net present value (NPV). Results: After 1-month review, eleven patients with effective treatment, four numerical Ktrans, Kep, Ve, Vp compared with preoperative decreased, which Ktrans, Kep, the change of the Ve was statistically significant (P < 0.05), the Vp of decline has no statistical significance (P > 0.05), the experimental and ineffective group after an operation, compared to four numerical Ktrans and Vp difference was statistically significant (P < 0.05), the corresponding AUC (area under the curve) to 1 and 0.818, the sensitivity of 100% and 85.7%, a specific degree of 100% and 72.7%. The NPV analysis results showed that the hospital could achieve profit and loss balance in the third year after purchasing MRI equipment and then gradually obtain positive cash inflow. Conclusion: The application of MRI in the Clinical Diagnosis helps hospital promote the therapeutic effect, thus having great practical value, and also contributes to increasing benefits in the long run. Abbreviations: DCE-MRI: Dynamic enhanced magnetic resonance imaging. NPV: Net Present Value. RECIST: Reliable Tumor Evaluation Criteria. CR: Complete Response. doi: https://doi.org/10.12669/pjms.37.6-WIT.4791 How to cite this:Chen Y, Zhou HM, Jiang QJ. The Application Value of Magnetic Resonance Imaging (MRI) in the Clinical Diagnosis in Hospital Management. Pak J Med Sci. 2021;37(6):1710-1713. doi: https://doi.org/10.12669/pjms.37.6-WIT.4791 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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“…Finally, based on the annual cash flow of MRI, the cost of MRI is analyzed by calculating the net present value. 6 …”

Section: Methodsmentioning

confidence: 99%

The Application Value of Magnetic Resonance Imaging (MRI)in the Clinical Diagnosis in Hospital Management

2021

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“…Lung cancer frequently spreads to the adrenal glands, brain, and bone marrow [ 108 ], so an MRI provides more image contrast flexibility than CT. Cerebral staging is advised in patients with promising curative opportunities, as MRI outperforms CT in the detection of brain metastases [ 109 ]. Adrenal metastases are accurately detected by PET–CT [ 110 ].…”

Section: Imaging and Lung Cancer Tnm Stagingmentioning

confidence: 99%

State of the Art: Lung Cancer Staging Using Updated Imaging Modalities

et al. 2022

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Lung cancer is among the most common mortality causes worldwide. This scientific article is a comprehensive review of current knowledge regarding screening, subtyping, imaging, staging, and management of treatment response for lung cancer. The traditional imaging modality for screening and initial lung cancer diagnosis is computed tomography (CT). Recently, a dual-energy CT was proven to enhance the categorization of variable pulmonary lesions. The National Comprehensive Cancer Network (NCCN) recommends usage of fluorodeoxyglucose positron emission tomography (FDG PET) in concert with CT to properly stage lung cancer and to prevent fruitless thoracotomies. Diffusion MR is an alternative to FDG PET/CT that is radiation-free and has a comparable diagnostic performance. For response evaluation after treatment, FDG PET/CT is a potent modality which predicts survival better than CT. Updated knowledge of lung cancer genomic abnormalities and treatment regimens helps to improve the radiologists’ skills. Incorporating the radiologic experience is crucial for precise diagnosis, therapy planning, and surveillance of lung cancer.

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“…Brain MRI is indicated in patients with lung tumours who are going to be treated with curative intent, to screen for brain M1 [19]. Brain MRI is superior to CT [20] and to PET/CT [21].…”

Section: Non-invasive Stagingmentioning

confidence: 99%

Multidisciplinary consensus statement on the clinical management of patients with stage III non-small cell lung cancer

et al. 2019

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Stage III non-small cell lung cancer (NSCLC) is a very heterogeneous disease that encompasses patients with resected, potentially resectable and unresectable tumours. To improve the prognostic capacity of the TNM classification, it has been agreed to divide stage III into sub-stages IIIA, IIIB and IIIC that have very different 5-year survival rates (36, 26 and 13%, respectively). Currently, it is considered that both staging and optimal treatment of stage III NSCLC requires the joint work of a multidisciplinary team of expert physicians within the tumour committee. To improve the care of patients with stage III NSCLC, different scientific societies involved in the diagnosis and treatment of this disease have agreed to issue a series of recommendations that can contribute to homogenise the management of this disease, and ultimately to improve patient care.

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Could new reconstruction CT techniques challenge MRI for the detection of brain metastases in the context of initial lung cancer staging?

Abstract: • No significant difference between IMR100 and FBP50 was shown. • Compared to FBP, IMR increased the image quality without diagnostic impairment. • A 50 % dose reduction combined with IMR reconstructions could be achieved. • Brain MRI remains the best tool in lung cancer staging.

Cited by 10 publications

References 15 publications

The Application Value of Magnetic Resonance Imaging (MRI)in the Clinical Diagnosis in Hospital Management

The Application Value of Magnetic Resonance Imaging (MRI)in the Clinical Diagnosis in Hospital Management

State of the Art: Lung Cancer Staging Using Updated Imaging Modalities

Multidisciplinary consensus statement on the clinical management of patients with stage III non-small cell lung cancer

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