Brain Metastases of Non-Small Cell Lung Cancer: Magnetic Resonance Spectroscopy for Clinical Outcome Assessment in Patients with Stereotactic Radiotherapy

Jia, Cong-Li; Li, Zhengquan; Guo, Dong; Zhang, Zhen; Yu, Jianpeng; Guang-dong, Jiang; Ji, Shengjun; Jin, Feng

doi:10.2147/ott.s286893

Cited by 7 publications

(8 citation statements)

References 32 publications

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“…Graded Prognostic Assessment (GPA), Magnetic Resonance Spectroscopy (MRS), and Basic Score for BM (BSBM) have been considered prognostic markers of NSCLC patients with BM according to previous reports [9][10][11]. However, these prognostic markers provide an incomplete biological profile and cannot accurately predict the outcomes due to individual heterogeneity.…”

Section: Introductionmentioning

confidence: 99%

The Value of the Systemic Immune-Inflammation Index in Predicting Survival Outcomes in Patients with Brain Metastases of Non-Small-Cell Lung Cancer Treated with Stereotactic Radiotherapy

Zhang

Chen

Jin

et al. 2021

Mediators of Inflammation

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Background. As a parameter integrating platelet (P), neutrophil (N), and lymphocyte (L) levels, the systemic immune-inflammation index (SII) has been used as a prognostic marker for patient survival in various types of solid malignant tumors. However, there is no in-depth study in non-small-cell lung cancer (NSCLC) patients with brain metastases after stereotactic radiotherapy. Therefore, we performed a retrospective analysis to determine the clinical and prognostic value of the SII in NSCLC patients with brain metastases who underwent stereotactic radiotherapy. Materials and Methods. We enrolled 124 NSCLC patients with brain metastases treated with stereotactic radiotherapy in our hospital between May 2015 and June 2018. We obtained all baseline blood samples within one week prior to stereotactic radiotherapy. The SII was calculated by the following formula: neutrophil counts × platelet counts / lymphocyte counts . The optimal cutoff value of the SII for predicting prognosis was assessed by receiver operating characteristic (ROC) curves with the maximum log-rank values. The discriminative ability of predicting prognosis was calculated and compared using the Kaplan–Meier method and log-rank test. The hazard ratio (HR) and 95% confidence interval (CI) were combined to evaluate the prognostic impact of the blood index on overall survival (OS) and progression-free survival (PFS). Only those parameters that proved to be associated with statistically significant differences in clinical outcomes were compared in multivariate analysis using a multiple Cox proportional hazard regression model to identify independent prognostic factors. Results. Of the total enrolled patients, 53.2% and 46.8% have high SII and low SII, respectively. In this study, Kaplan–Meier curve analysis revealed that the median PFS was 9 months (range: 2–22 months) and the median OS was 18 months (range: 4–37 months). Applying an optimal cutoff of 480 (SII), the median PFS was better in the low SII group patients (11.5 vs. 9 months), and the median OS was significantly longer in the low SII group patients (20 vs. 18 months). A SII > 480 was significantly associated with worse OS (HR: 2.196; 95% CI 1.259–3.832; P = 0.006 ) and PFS (HR: 2.471; 95% CI 1.488–4.104; P < 0.001 ) according to univariate analysis. In multivariate analysis, only age (HR: 2.159; 95% CI 1.205–3.869; P = 0.010 ), KPS (HR: 1.887; 95% CI 1.114–3.198; P = 0.018 ), and SII (HR: 1.938; 95% CI 1.046–3.589; P = 0.035 ) were independently correlated with OS, and SII (HR: 2.224; 95% CI 1.298–3.810; P = 0.004 ) was an independent prognostic predictor of PFS, whereas we found that other inflammation-based indices lost their independent value. Conclusions. The SII, which is an integrated blood parameter based on platelet, neutrophil, and lymphocyte counts, may be an independent prognostic indicator and may be useful for the identification of NSCLC patients with brain metastases after stereotactic radiotherapy at high risk for recurrence.

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Section: Introductionmentioning

confidence: 99%

The Value of the Systemic Immune-Inflammation Index in Predicting Survival Outcomes in Patients with Brain Metastases of Non-Small-Cell Lung Cancer Treated with Stereotactic Radiotherapy

Zhang

Chen

Jin

et al. 2021

Mediators of Inflammation

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“…The main metabolites detected by MRS included Cho, NAA, and Cr. Cho is one of the main complexes constituting the cell membrane, which participates in the synthesis and catabolism of the cell membrane [ 28 ]. NAA mainly exists in the cytoplasm of neurons.…”

Section: Discussionmentioning

confidence: 99%

Magnetic Resonance Imaging Evaluation of Hemangioma Resection for Encephalofacial Angiomatosis (Sturge–Weber Syndrome) in Children under Intelligent Algorithm

Liang

Fan

et al. 2022

Contrast Media & Molecular Imaging

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This study was aimed to evaluate the clinical efficacy of hemangioma resection in the treatment of infantile encephalofacial angiomatosis (Sturge–Weber syndrome, SWS) through magnetic resonance imaging (MRI) images, and intelligent algorithms were employed to process MRI images. A retrospective study of 45 children diagnosed with facial hemangioma admitted to hospital was conducted. Then, MRS images were acquired, and a mathematical model for MRI image denoising and reconstruction was constructed based on nonlocal similar block low-rank prior algorithms. The processing effect was assessed regarding the peak signal-to-noise ratio (PSNR) and structural similarity (SSIM). Finally, MRI images were collected to analyze the difference between the metabolites of N-acetylaspartic acid (NAA), creatine (Cr), choline (Cho), and their ratios in the lesions of the children before and after treatment. The improvement rate was analyzed through a twelve-month follow-up. The algorithm test results showed that compared with the classic K-singular value decomposition (K-SVD) denoising algorithm and the Sparse MRI reconstruction algorithm, the proposed algorithm processed MRI images more clearly and had more detailed information. The quantitative results showed that the PSNR and SSIM in the image processed by the algorithm proposed were remarkably large. The clinical treatment results showed that compared with those before treatment, the nCho level after treatment, the ratio of Cho/Cr and Cho/NAA were remarkably reduced, and the difference was remarkable (P < 0.05). The follow-up results showed that the considerable improvement rate was 88.89%, the postoperative organ remodeling rate was 17.78%, and the probability of reoperation was only 6.67%. In summary, the introduction of intelligent algorithms for denoising and reconstruction of MRI images can remarkably improve image quality and help doctors use image information to diagnose diseases and evaluate treatment effects. The hemangioma resection for the treatment of pediatric SWS had a high treatment improvement rate and was worthy of clinical adoption.

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“…The prevalence of breast cancer incident rate was found higher (80/100000) in developed regions as compared to developing regions (40/100000) [1]. About 35% of female cancers account for the commonest malignancy in the breast [2] and almost 89000 women per annum suffer from it [3]. MRS core biopsy diagnosis is an effective and efficient breast lesion as compared to the surgical biopsy based on cost, less invasive, and convenience.…”

Section: Introductionmentioning

confidence: 94%

“…MRS core biopsy diagnosis is an effective and efficient breast lesion as compared to the surgical biopsy based on cost, less invasive, and convenience. Pathologic reports found 75% of benign cases assessed by biopsy due to patient's reluctance to biopsy subjected [1][2][3][4]. A reliable and invasive approach is an effective diagnosis and need of the hour for breast lesions suspicious [5].…”

Section: Introductionmentioning

confidence: 99%

Diagnostic Accuracy of Magnetic Resonance Spectroscopy (MRS) in Diagnosing Malignant Breast Lesions Taking Histopathology as Gold Standard

Ahmed¹,

Memon²,

Shah³

et al. 2021

PJMHS

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Background and Aims: Breast cancer is the prime cause of mortality among women of both developing and developed world. Out of 34.6% of female cancer patients, malignant breast cancer being the most common cancer found in Pakistan. The current study aims to evaluate the diagnostic accuracy of magnetic resonance spectroscopy in diagnosing malignant breast lesions taking histopathology as a gold standard. Materials and Methods: This cross-sectional study was carried out on 135 female patients with suspicious palpable lesions for malignancy referred from surgical OPD of Liaquat University of Medical and Health Sciences, Jamshoro during the period from October 2020 to March 2021. Magnetic resonance spectroscopy (MRS) dynamic enhanced images taken with contrast on 1.5 Tesla MRI machines were assessed based on kinetic and morphology. Malignancy biomarker was assessed with choline peak (Cho) allowed by MRS. The Single-voxel technique was utilized in order to evaluate the diagnostic performance of MRS in breast lesions malignancy. A comparison was made between MRS and biopsy findings. Results: Out of 135 female patients, 118 (87.40%) were malignant lesions patients assessed by MRS while histopathologically proven patients were 104 (77.33%). The calculated mean age of all the malignant patients was 48.3 ± 14.5 years with a range of 40-79 years. The diagnostic parameters of MRS such as specificity, accuracy, sensitivity, negative predictive value (NPV), and positive predictive value (PPV) was 74%, 88.2%, 93%, 77.8%, and 93.1% respectively while taking histopathology as a gold standard. Conclusion: MRS must be utilized as a primary imaging technique for the diagnosis of breast lesions malignancy due to its higher specificity, sensitivity, and accuracy in breast lumps characterization. MRS was found to be specific 74%, sensitive 88.2%, and accurate 93% in malignant breast cancer diagnosis. Keywords: MRS, Malignant breast lesions, Histopathology

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Brain Metastases of Non-Small Cell Lung Cancer: Magnetic Resonance Spectroscopy for Clinical Outcome Assessment in Patients with Stereotactic Radiotherapy

Cited by 7 publications

References 32 publications

The Value of the Systemic Immune-Inflammation Index in Predicting Survival Outcomes in Patients with Brain Metastases of Non-Small-Cell Lung Cancer Treated with Stereotactic Radiotherapy

The Value of the Systemic Immune-Inflammation Index in Predicting Survival Outcomes in Patients with Brain Metastases of Non-Small-Cell Lung Cancer Treated with Stereotactic Radiotherapy

Magnetic Resonance Imaging Evaluation of Hemangioma Resection for Encephalofacial Angiomatosis (Sturge–Weber Syndrome) in Children under Intelligent Algorithm

Diagnostic Accuracy of Magnetic Resonance Spectroscopy (MRS) in Diagnosing Malignant Breast Lesions Taking Histopathology as Gold Standard

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