Solitary neurofibroma of seminal vesicle

Rajaian, Shanmugasundaram; Paulraj, Ashwin Shekar; Murugesan, Lakshman

doi:10.4103/jpgm.jpgm_409_18

Cited by 1 publication

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“…CT image big data can guide the use of 125 I radioactive particles and puncture needles and can accurately show the distribution of 125 I radioactive seeds in the tumor after implantation, so as to ensure the therapeutic effect. Moreover, CT can measure tumor size and CT perfusion parameters [ 21 ], which can quantitatively reflect the microvessel density and blood flow velocity inside the tumor and thus is important to lung cancer therapy. In the present work, we found that CT imaging big data-assisted arterial chemoembolization combined with 125 I seed implantation had advantages in repressing tumor growth and reducing CT perfusion parameters including BV, BF, and PS, further indicating that the combined treatment could enhance the recent efficacy of transarterial chemoembolization combined with 125 I seed implantation.…”

Section: Discussionmentioning

confidence: 99%

Prognostic Evaluation of CT Imaging Big Data-Assisted Arterial Chemoembolization Combined with 125I Seed Implantation for Non-Small-Cell Lung Cancer

Xie

Zhang

2022

Computational and Mathematical Methods in Medicine

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Objective. To investigate the prognostic impact of computed tomography (CT) imaging big data-assisted arterial chemoembolization combined with iodine 125 (125I) seed implantation on patients with non-small-cell lung cancer (NSCLC). Methods. A total of 116 patients with intermediate and advanced NSCLC hospitalized in our hospital from August 2019 to August 2020 were selected and divided into a control group and an experiment group (58 cases in each group) by random number table method for the study. The patients in the experiment group were treated with CT imaging big data-assisted arterial chemoembolization combined with 125I seed implantation, while the patients in the control group were treated with arterial chemoembolization alone, with the use of gemcitabine combined with cisplatin (GP) in chemotherapy. The prognostic impact was determined by analyzing recent efficacy; the incidence of adverse effects; tumor size and CT perfusion parameters including blood volume (BV), blood flow (BF), and permeability surface (PS); frailty state and quality of life; and the levels of serum tumor markers including carcinoembryonic antigen (CEA), glycoconjugate antigen 125 (CA125), cytokeratin 19 fragment antigen 21-1 (CYFRA21-1), microRNA- (miRNA-) 137, and miR-379-5p. In addition, frailty status was evaluated using the Fried frailty phenotype (FP) scale, and quality of life was determined according to Karnofsky Performance Status (KPS) score. Kaplan-Meyer (KM) method was used to analyze the survival rate of NSCLC patients after a 12-month follow-up. Results. The remission rate in the experiment group (77.59%) was higher than that in the control group (56.90%) ( P < 0.05 ). Tumor size, BV, BF, PS, serum CEA and CA125 levels, and FP value in both groups were dramatically reduced after treatment compared with before treatment, especially in the experiment group after 1 and 3 months of treatment ( P < 0.05 ). Meanwhile, the serum miR-137 and miR-379-5p levels and KPS scores in both groups were higher after treatment than before treatment, especially in the experiment group after 1 and 3 months of treatment ( P < 0.05 ). However, there was no significant difference in the incidence of nausea and vomiting, alopecia, diarrhea, myelosuppression, and hemoptysis of NSCLC patients in both groups after treatment ( P > 0.05 ). Further, the 12-month survival rate of NSCLC patients was higher in the experiment group (84.21%) than in the control group (64.29%) ( P < 0.05 ). Conclusion. CT imaging big data-assisted arterial chemoembolization combined with 125I seed implantation for NSCLC can improve recent efficacy and the prognosis of NSCLC patients by inhibiting tumor progression with a certain degree of safety.

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Section: Discussionmentioning

confidence: 99%