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1.
Am J Cancer Res ; 13(10): 4794-4802, 2023.
Article in English | MEDLINE | ID: mdl-37970343

ABSTRACT

Patients with radioactive iodine refractory differentiated thyroid cancer (RAIR-DTC) are resistant to radioactive iodine-131(131I) treatment, and the clinical treatment for these patients is complex. The implantation of iodine-125 (125I) seeds in the lesion has been successfully applied to treat malignant tumors, but there are few reports on using 125I particles in the treatment of RAIR-DTC. This retrospective study collected data of 92 patients with RAIR-DTC. Patients treated with sorafenib were included in a control group (50 cases with 72 lesions) and patients treated with 125I implantation were included in an observation group (42 cases with 68 lesions). The results showed that compared with those in the control group, the lesion volume was lower and the VVR was higher in the observation group (P<0.05). The Tg and Tg-Ab levels 6 months after treatment were lower than those before treatment in both groups, and the post-treatment Tg and Tg-Ab levels of the observation group were lower than those of the control group (P<0.05). The efficacy, disease control rate, and objective remission rate were not significantly different between the observation group and the control group (P>0.05). Overall survival of patients in the observation group was longer than that in the control group, χ2 = 4.430, P = 0.035. The incidence of total adverse reactions in the observation group was lower than that in the control group (P<0.05). In conclusion, 125I seed implantation is effective in RAIR-DTC treatment as it can prolong the overall survival of patients while maintaining a safe profile.

2.
World J Psychiatry ; 13(7): 486-494, 2023 Jul 19.
Article in English | MEDLINE | ID: mdl-37547735

ABSTRACT

BACKGROUND: Differentiated thyroid cancer (DTC) often seriously impacts patients' lives. Radionuclide Iodine-131 (131I) is widely used in treating patients with DTC. However, most patients know little about radionuclide therapy, and the treatment needs to be performed in a special isolation ward, which can cause anxiety and depression. AIM: To explore anxiety and depression status and their influencing factors after 131I treatment in patients with DTC. METHODS: A questionnaire survey was conducted among postoperative patients with DTC who received 131I treatment at our hospital from June 2020 to December 2022. General patient data were collected using a self-administered demographic characteristics questionnaire. The self-rating depression scale and self-rating anxiety scale were used to determine whether patients were worried about their symptoms and the degree of anxiety and depression. The patients were cate-gorized into anxiety, non-anxiety, depression, and non-depression groups. Single-variable and multiple-variable analyses were used to determine the risk factors for anxiety and depression in patients with thyroid cancer after surgery. RESULTS: A total of 144 patients were included in this study. The baseline mean score of self-rating anxiety and depression scales were 50.06 ± 16.10 and 50.96 ± 16.55, respectively. Notably, 48.62% (70/144) had anxiety and 47.22% (68/144) of the patients had depression. Sex, age, education level, marital status, household income, underlying diseases, and medication compliance significantly differed among groups (P < 0.05). Furthermore, multivariate logistic regression analysis showed that education level, per capita monthly household income, and medication compliance level affected anxiety (P = 0.015, 0.001, and 0.001 respectively. Patient's sex, marital status, and underlying diseases affected depression (P = 0.007, 0.001, and 0.009, respectively). CONCLUSION: Nursing interventions aiming at reducing the risk of anxiety and depression should target unmarried female patients with low education level, low family income, underlying diseases, and poor adherence to medications.

3.
J Cancer Res Clin Oncol ; 149(16): 14535-14547, 2023 Nov.
Article in English | MEDLINE | ID: mdl-37567986

ABSTRACT

OBJECTIVE: We aimed to investigate the predictive value of pre-treatment 18F-FDG PET/CT multi-metabolic parameters and tumor metabolic heterogeneity for gastric cancer prognosis. METHODS: Seventy-one patients with gastric cancer were included. All patients underwent 18F-FDG PET/CT whole-body scans prior to treatment and had pathologically confirmed gastric adenocarcinomas. Each metabolic parameter, including SUVmax, SUVmean, MTV, and TLG, was collected from the primary lesions of gastric cancer in all patients, and the slope of the linear regression between the MTV corresponding to different SUVmax thresholds (40% × SUVmax, 80% × SUVmax) of the primary lesions was calculated. The absolute value of the slope was regarded as the metabolic heterogeneity of the primary lesions, expressed as the heterogeneity index HI-1, and the coefficient of variance of the SUVmean of the primary lesions was regarded as HI-2. Patient prognosis was assessed by PFS and OS, and a nomogram of the prognostic prediction model was constructed, after which the clinical utility of the model was assessed using DCA. RESULTS: A total of 71 patients with gastric cancer, including 57 (80.3%) males and 14 (19.7%) females, had a mean age of 61 ± 10 years; disease progression occurred in 27 (38.0%) patients and death occurred in 24 (33.8%) patients. Multivariate Cox regression analysis showed that HI-1 alone was a common independent risk factor for PFS (HR: 1.183; 95% CI: 1.010-1.387, P < 0.05) and OS (HR: 1.214; 95% CI: 1.016-1.450, P < 0.05) in patients with gastric cancer. A nomogram created based on the results of Cox regression analysis increased the net clinical benefit for patients. Considering disease progression as a positive event, patients were divided into low-, intermediate-, and high-risk groups, and Kaplan-Meier survival analysis showed that there were significant differences in PFS among the three groups. When death was considered a positive event and patients were included in the low- and high-risk groups, there were significant differences in OS between the two groups. CONCLUSION: The heterogeneity index HI-1 of primary gastric cancer lesions is an independent risk factor for patient prognosis. A nomogram of prognostic prediction models constructed for each independent factor can increase the net clinical benefit and stratify the risk level of patients, providing a reference for guiding individualized patient treatment.


Subject(s)
Positron Emission Tomography Computed Tomography , Stomach Neoplasms , Male , Female , Humans , Middle Aged , Aged , Positron Emission Tomography Computed Tomography/methods , Fluorodeoxyglucose F18 , Stomach Neoplasms/diagnostic imaging , Prognosis , Disease Progression , Retrospective Studies , Tumor Burden , Radiopharmaceuticals
4.
Oncotarget ; 8(45): 79462-79468, 2017 Oct 03.
Article in English | MEDLINE | ID: mdl-29108325

ABSTRACT

To assess the prognostic value of lymph node ratio (LNR) in patients with stage IV thyroid cancer based on the Surveillance, Epidemiology, and End Results (SEER) database. A total of 4,940 eligible patients were included for the analysis. Kaplan-Meier survival analysis and Cox proportional hazard regression were used to reveal the effect of LNR on overall survival (OS) and disease specific survival (DSS). The optimal cut-off value of LNR for predicting OS and DSS was determined by the time-dependent Receiver Operating Characteristic analysis. By the univariate Cox proportional hazard regression, LNR was significantly associated with OS and DSS in patients with medullary thyroid cancer (MTC), papillary thyroid cancer and anaplastic thyroid cancer (all P < 0.05). With the optimal cut-off value, Kaplan-Meier analysis showed that MTC patients with LNR≥76.5% were significantly associated with poorer OS (log-rank test: P < 0.0001), and LNR≥40.7% were significantly associated with poorer DSS (log-rank test: P < 0.0001). LNR was an independent prognostic factor of poorer survival in MTC patients after adjusting for other variables by multivariable Cox analysis (OS: hazard ratio [HR] = 2.560, 95% confidence interval [CI] 1.690-3.879, P < 0.0001; DSS: HR=2.781, 95% CI 1.582-4.888, P = 0.0004). Our results demonstrated that LNR could predict clinical outcomes in patients with stage IV MTC, and 76.5% was the optimal cut-off value of LNR to predict OS. LNR, as a function of the nodes positive and the nodes examined, could provide suggestions on the postoperative prognosis of patients with stage IV MTC.

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