Altered functional connectivity subserving expressed emotion environments in schizophrenia: An fNIRS study.

Living in high-expressed emotion (EE) environments, characterized by critical, hostile, or over-involved family attitudes, has been linked to increased relapse rates among individuals with schizophrenia (SZ). In our previous work (Wang et al., 2023), we conducted the first feasibility study of using functional near-infrared spectroscopy (fNIRS) with our developed EE stimuli to examine cortical hemodynamics in SZ. To better understand the neural mechanisms underlying EE environmental factors in SZ, we extended our investigation by employing functional connectivity (FC) analysis with a graph theory approach to fNIRS signals. Relative to healthy controls (N=40), individuals with SZ (N=37) exhibited altered connectivity across the medial prefrontal cortex (mPFC), left ventrolateral prefrontal cortex (vlPFC), and left superior temporal gyrus (STG) while exposed to EE environments. Notably, while individuals with SZ were exposed to high-EE environments, (i) reduced connectivity was observed in these brain regions and (ii) the left vlPFC-STG coupling was found to be associated with the negative symptom severity. Taken together, our FC findings suggest individuals with SZ experience a more extensive disruption in neural functioning and coordination, particularly indicating an increased susceptibility to high-EE environments. This further supports the potential utility of integrating fNIRS with the created EE stimuli for assessing EE environmental influences, paving the way for more targeted therapeutic interventions.

Assessment of psychological personality traits in transgender groups using the Minnesota multiphasic personality inventory.

Objective: To explore the psychological personality characteristics of transgender groups and to determine whether these characteristics differ according to sociodemographic factors. Methods: This cross-sectional study was conducted between January 2021 and April 2023 at a psychosexual outpatient clinic in a psychiatric hospital in Beijing, China. In total, 481 individuals were included in this study, and demographic information was collected using a self-administered general questionnaire. Psychological personality traits were assessed using the Minnesota Multiphasic Personality Inventory (MMPI). Results: The mean scores of the assigned male at birth (AMAB) group were significantly higher than those of the male controls for all 10 clinical factors of the MMPI (p < 0.01 or p < 0.001). The scores for both the Masculinity-femininity (Mf) and Depression (D) factors in the AMABs group exceeded the clinical threshold (T > 60) and were the highest and second-highest scores on the entire scale, respectively. Individuals assigned female at birth (AFAB) had significantly higher scores than female controls for Hysteria (Hy), Psychopathic Deviate (Pd), and Hypomania (Ma) (p < 0.05, p < 0.01, and p < 0.001, respectively). There were significant differences in the rates of abnormal values for the various factors of the MMPI (T > 60) according to gender, age, and education (p < 0.05, p < 0.01, and p < 0.001, respectively). Compared to AFABs, AMABs had higher rates of abnormal scores (T > 60) on the Hypochondriasis (Hs), D, Hy, Mf, Paranoia (Pa), Psychasthenia (Pt), Schizophrenia (Sc), and Social Introversion (Si) scales (p < 0.05, p < 0.01, and p < 0.001, respectively). Second, the transgender group aged ≤25 years had higher rates of abnormal scores (T > 60) on the Hs, D, Hy, Pd, Pa, Pt, Sc, and Ma scales (p < 0.05, p < 0.01, and p < 0.001, respectively). Finally, outliers (T > 60) for the Hs, D, Hy, Pd, Pa, Pt, Ma, and Si factors were more prevalent among those with a primary to high school level of education (p < 0.05, p < 0.01, and p < 0.001, respectively). Conclusion: Assigned male at births may have a variety of psychological vulnerabilities, and there is a need to focus especially on those with a primary to high school level of education, those aged ≤25 years, and transgender females.

DUAL: deep unsupervised simultaneous simulation and denoising for cryo-electron tomography.

Recent biotechnological developments in cryo-electron tomography allow direct visualization of native sub-cellular structures with unprecedented details and provide essential information on protein functions/dysfunctions. Denoising can enhance the visualization of protein structures and distributions. Automatic annotation via data simulation can ameliorate the time-consuming manual labeling of large-scale datasets. Here, we combine the two major cryo-ET tasks together in DUAL, by a specific cyclic generative adversarial network with novel noise disentanglement. This enables end-to-end unsupervised learning that requires no labeled data for training. The denoising branch outperforms existing works and substantially improves downstream particle picking accuracy on benchmark datasets. The simulation branch provides learning-based cryo-ET simulation for the first time and generates synthetic tomograms indistinguishable from experimental ones. Through comprehensive evaluations, we showcase the effectiveness of DUAL in detecting macromolecular complexes across a wide range of molecular weights in experimental datasets. The versatility of DUAL is expected to empower cryo-ET researchers by improving visual interpretability, enhancing structural detection accuracy, expediting annotation processes, facilitating cross-domain model adaptability, and compensating for missing wedge artifacts. Our work represents a significant advancement in the unsupervised mining of protein structures in cryo-ET, offering a multifaceted tool that facilitates cryo-ET research.

Creating the Chinese version of the transgender attitudes and beliefs scale.

BACKGROUND: Trans persons' physical and mental health is easily affected by the attitude of those around them. However, China currently lacks a valid psychometric instrument to investigate people's attitudes toward trans persons. Therefore, this study modifies the English version of the Transgender Attitudes and Beliefs Scale (TABS) to suit the Chinese context. It subsequently examines the reliability and validity of the Chinese version of the TABS. METHODS: This study recruited 1164 university students, aged 18-25 years, from 7 regions of China. SPSS26.0 and AMOS24.0 were used for data statistical analysis. Critical ratio method and correlation coefficient method were used for item analysis. Exploratory factor analysis and confirmatory factor analysis were used to test the structural validity of the Chinese version of Transgender Beliefs and Attitudes Scale, and the internal consistency reliability of the scale was tested. RESULTS: The TABS-C contains 26 items with 3 factors. The Cronbach's alpha was 0.957 for the total scale and 0.945, 0.888, and 0.885 for the 3 factors. The half-point reliability of the scale was 0.936, and the retest reliability was 0.877. The Pearson correlation coefficients for the 3 factors and the total scale score ranged from 0.768 to 0.946. CONCLUSION: The TABS-C has reliable psychometric properties and is suitable for usage among college students in the Chinese context.

Changes in physical activity and all-cause mortality in the oldest old population: Findings from the Chinese Longitudinal Healthy Longevity Survey (CLHLS).

BACKGROUND: Insufficient or decreasing physical activity is common in older adults. Most studies on physical activity changes and mortality were conducted in adults younger than 80 years old in developed countries. We aimed to investigate the relationship between changes in physical activity and longevity in the oldest old (80 years or older) population using the Chinese Longitudinal Healthy Longevity Survey. METHODS: Participants aged 80 or older at baseline were categorized into four groups: 1) remaining physically inactive (n = 14,287), 2) remaining physically active (n = 5411), 3) shifting from being inactive to active (n = 1364), and 4) shifting from being active to inactive (n = 1401). We fitted accelerated failure time Weibull survival regression models, adjusting for baseline sociodemographics, lifestyle factors and disease status. We further examined whether the associations differed by subgroups. RESULTS: A total of 15,707 participants died during follow-up (median duration of follow-up = 3.0 years). Compared with participants who remained physically inactive, those who remained active (fully adjusted event time ratio (ETR): 1.14, 95%CI: 1.11-1.17) or shifted from being inactive to active (fully adjusted ETR: 1.14, 95%CI: 1.08-1.20) had statistically significant longer survival time. No significant association was observed between remaining physically inactive and shifting from being active to inactive. Subgroup analyses showed consistent associations in nearly all strata. CONCLUSION: Maintaining frequent physical activity or shifting from being physically inactive to active was consistently associated with longer survival time in the oldest old population. Our findings provide evidence for encouraging older adults to regularly engage in physical activity to gain longevity benefits.

An fNIRS investigation of novel expressed emotion stimulations in schizophrenia.

Living in high expressed emotion (EE) environments tends to increase the relapse rate in schizophrenia (SZ). At present, the neural substrates responsible for high EE in SZ remain poorly understood. Functional near-infrared spectroscopy (fNIRS) may be of great use to quantitatively assess cortical hemodynamics and elucidate the pathophysiology of psychiatric disorders. In this study, we designed novel low- (positivity and warmth) and high-EE (criticism, negative emotion, and hostility) stimulations, in the form of audio, to investigate cortical hemodynamics. We used fNIRS to measure hemodynamic signals while participants listened to the recorded audio. Healthy controls (HCs, [Formula: see text]) showed increased hemodynamic activation in the major language centers across EE stimulations, with stronger activation in Wernicke's area during the processing of negative emotional language. Compared to HCs, people with SZ ([Formula: see text]) exhibited smaller hemodynamic activation in the major language centers across EE stimulations. In addition, people with SZ showed weaker or insignificant hemodynamic deactivation in the medial prefrontal cortex. Notably, hemodynamic activation in SZ was found to be negatively correlated with the negative syndrome scale score at high EE. Our findings suggest that the neural mechanisms in SZ are altered and disrupted, especially during negative emotional language processing. This supports the feasibility of using the designed EE stimulations to assess people who are vulnerable to high-EE environments, such as SZ. Furthermore, our findings provide preliminary evidence for future research on functional neuroimaging biomarkers for people with psychiatric disorders.

Research on Coal Mine Building Compliance Inspection System Based on Accident Causation and BIM in China.

Coal mine construction projects have high risks, and non-compliant designs generated in the design stage will have adverse effects on subsequent construction and production stages. Therefore, it is of great importance to conduct effective preconstruction compliance inspections on coal mine construction designs. To make the compliance check of coal mine building design more rapid and effective, and to reduce the risks arising from the design phase, this study built a compliance inspection system for coal mine building design from the causes of coal mine accidents, using the Word2Vec word similarity calculation method and BIM platform secondary development technology. The system was tested and was found to be able to detect a 92.82% non-compliant component rate where the correct inspection rate was 97.68%. In addition, the inspection time for a single component was only 0.23 s. The construction of the compliance inspection system based on accident causes has changed the extensive inspection mode in the traditional manual model inspection, and the inspection no longer depends on the experience of inspectors, thus improving the efficiency and accuracy of coal mine building model inspection. The inspection focuses on the building elements with high risks, which achieves the purpose of risk control in the design stage.

Inferring the solution space of microscope objective lenses using deep learning.

Lens design extrapolation (LDE) is a data-driven approach to optical design that aims to generate new optical systems inspired by reference designs. Here, we build on a deep learning-enabled LDE framework with the aim of generating a significant variety of microscope objective lenses (MOLs) that are similar in structure to the reference MOLs, but with varied sequences-defined as a particular arrangement of glass elements, air gaps, and aperture stop placement. We first formulate LDE as a one-to-many problem-specifically, generating varied lenses for any set of specifications and lens sequence. Next, by quantifying the structure of a MOL from the slopes of its marginal ray, we improve the training objective to capture the structures of the reference MOLs (e.g., Double-Gauss, Lister, retrofocus, etc.). From only 34 reference MOLs, we generate designs across 7432 lens sequences and show that the inferred designs accurately capture the structural diversity and performance of the dataset. Our contribution answers two current challenges of the LDE framework: incorporating a meaningful one-to-many mapping, and successfully extrapolating to lens sequences unseen in the dataset-a problem much harder than the one of extrapolating to new specifications.

Evaluation and empirical research on the operation effect of the risk precontrol management system of safety in coal mines based on OSWM-TOPSIS.

BACKGROUND: Most studies have focused on the establishment and application of the risk precontrol management system for safety in coal mines and have seldom considered the evaluation of the system operation effect. OBJECTIVE: This study aimed to evaluate the operation effect of risk precontrol management system of safety in coal mines and propose policy suggestions to improve the risk precontrol management level of safety. METHODS: This study applied the Objective and Subjective Weighting Method (OSWM) combined with the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) to conduct evaluation and empirical research on the operation effect of the risk precontrol management system of safety in coal mines. RESULTS: First, the evaluation index system is mainly composed of six first-level indicators and 30 subordinate secondary indicators. Second, the OSWM combined with TOPSIS is an effective method for operation effect evaluation, which yields accurate and undistorted evaluation results. Third, the calculation reference value of the operation effect in the Gengcun coal mine is 57.34, and its corresponding effect level is level III, which is basically effective. Moreover, the calculation reference values of production equipment management (P4) and inspection, audit and review (P6) are the lowest, while the calculation reference values of risk precontrol management (P1) and auxiliary management (P5) reach the critical value corresponding to effect level I, which indicates a good operation effect. CONCLUSIONS: Corresponding policy suggestions to improve the risk precontrol management level in the Gengcun coal mine are proposed based on the above evaluation results.

Impacts of Independence Day fireworks on pollution levels of atmospheric polycyclic aromatic hydrocarbons (PAHs) in the U.S.

Fireworks on Independence Day have been identified as a nationwide but short-term source of particulate matter in the U.S. No study has specifically examined their impacts on ambient polycyclic aromatic hydrocarbons (PAHs). Based on data between 1990 and 2019 in the Air Quality System, we identified 76 unique events that had PAH measurements on both July 4th days and control days (within 15 days before and after July 4th). We compared concentrations and diagnostic ratios of 16 priority PAHs between event and control days using Wilcoxon signed-rank tests and multivariable regressions. A local PAH monitoring campaign was conducted at eight sites in Memphis, Tennessee, to obtain a close observation of PAH changes. The national geometric mean (GM) concentrations of summed 16 PAHs (ΣPAHs) were similar between event and control days (48.1 ng/m3 vs. 52.8 ng/m3, p = 0.98). About a quarter of events had elevated PAH concentrations compared with control days. Higher diagnostic ratios were found on event days, suggesting more contributions from fireworks sources. PAHs on July 4th were unlikely to cause acute or chronic health effects. While the local monitoring showed a 15% increase of ΣPAHs on July 4th, the difference was not significant (p = 0.62). Elevated PAH concentrations occurred at sites near fireworks sources and without major traffics, but did not occur at those in remote areas or near major interstate highways. In conclusion, this study finds that Independence Day fireworks have negligible impacts on atmospheric PAHs at the national level, and are unlikely to pose significant health risks. The firework effect is localized within a limited geographic scale, suggesting potential needs for local monitoring and control programs.

Effect of mesoporous silica nanoparticles co­loading with 17­AAG and Torin2 on anaplastic thyroid carcinoma by targeting VEGFR2.

Anaplastic thyroid carcinoma (ATC) is a highly aggressive tumor with a poor prognosis and a low median survival rate because of insufficient effective therapeutic modalities. Recently, mesoporous silica nanoparticles (MSNs) as a green non­toxic and safe nanomaterial have shown advantages to be a drug carrier and to modify the targeting group to the targeted therapy. To aim of the study was to explore the effects of MSNs co­loading with 17­allylamino­17­demethoxy­geldanamycin (17­AAG; HSP90 inhibitor) and 9­(6­aminopyridin­3­yl)­1­(3­(trifluoromethyl)phenyl)benzo[h][1,6]naphthyridin­2(1H)­one (Torin2; mTOR inhibitor) by targeting vascular endothelial growth factor receptor 2 (VEGFR2) on the viability of human anaplastic thyroid carcinoma FRO cells. The cytotoxicity of 17­AAG and Torin2 were analyzed by MTT assay. The possible synergistic antitumor effects between 17­AAG and Torin2 were evaluated by CompuSyn software. Flow cytometry was performed to assess the VEGFR2 targeting of (17­AAG+Torin2)@MSNs­anti­VEGFR2 ab and uptake by FRO cells. An ATC xenograft mouse model was established to assess the antitumor effect of (17­AAG+Torin2)@MSNs­anti­VEGFR2 ab in vivo. The results revealed that the combination of 17­AAG and Torin2 inhibited the growth of FRO cells more effectively compared with single use of these agents. Additionally, the synergistic antitumor effect appeared when concentration ratio of the two drugs was 1:1 along with total drug concentration greater than 0.52 µM. Furthermore, in an ATC animal model, it was revealed that the (17­AAG+Torin2)@MSNs­anti­VEGFR2 ab therapy modality could most effectively prolong the median survival time [39.5 days vs. 33.0 days (non­targeted) or 27.5 days (control)]. Compared to (17­AAG+Torin2)@MSNs, the (17­AAG+Torin2)@MSNs­anti­VEGFR2 ab could not only inhibit ATC cell growth but also prolong the median survival time of tumor­bearing mice in vivo and vitro more effectively, which may provide a new promising therapy for ATC.

General analysis and optimization strategy to suppress autofluorescence in microscope lenses.

With the development of fluorescence microcopy, the autofluorescence effect of optical glass in microscope lenses has become an important source of stray light which decreases the contrast of the image. However, the autofluorescence effect of various types of microscope lenses has not been thoroughly discussed and the dominant factors of this effect are not clear. Currently, the most commonly used analysis method of the autofluorescence effect is based on the volume scattering model and Monte Carlo raytracing, which is extremely time-consuming due to the large number of rays that need to be traced. In our previous work, we have presented an efficient phase-space-based simulation method, which significantly accelerates the simulation of the autofluorescence effect [Appl. Opt.58, 3589 (2019)APOPAI0003-693510.1364/AO.58.003589]. Here we apply this new method on different types of microscope lenses and perform a systematic analysis of the autofluorescence effect based on the simulation results. In order to obtain an overview of the autofluorescence effect of different types of microscope lenses, more than 100 microscope lenses with different numerical aperture (NA), magnification, working distance, and immersion medium are selected and the corresponding autofluorescence contribution from each element in the lenses is calculated. Following a systematic analysis of the simulation result, we find that the autofluorescence effect of a lens is dependent on the etendue and complexity of the system, while the most critical elements are usually found in the front and rear groups. After the origins of the autofluorescence contribution from these critical lens groups have been found, possibilities to reduce the autofluorescence intensity have been investigated. Finally, effective methods to reduce the autofluorescence effect are presented and compared. The major contribution of this work is a detailed analysis of the impact of different factors on the autofluorescence effect, based on which a guideline is provided for the optical designers as well as the users to design or to select an appropriate microscope lens with low autofluorescence intensity.

Efficient simulation of autofluorescence effects in microscope lenses.

The use of fluorescence in microscopy is a well-known technology. Due to autofluorescence in the materials of optical components, the contrast of the image is degraded. The calculation of autofluorescence is usually performed by brute-force methods such as the Monte Carlo-based volume scattering. The efficiency of calculations in this case is extremely low, and a huge number of rays must be calculated. In stray light calculations, the concept of important sampling is used to reduce computational effort. The idea is to calculate only rays, which have the chance to reach the target surface. The fluorescence conversion can be considered to be a scatter process, and therefore a modification of this idea is used here. The reduction factor is calculated by comparing the size of the illuminated phase space domain with the corresponding acceptance domain in every z plane of the lenses. The boundaries of the domains are determined by tracing the limiting rays of the light cone of the source as well as the pixel area under consideration. The small overlap of both domains can be estimated by geometrical considerations. The correct photometric scaling and the discretization of the volumes must be performed. The errors resulting from necessary approximations can be corrected without greatly increasing computational effort. The run time is reduced by a factor of 104. It is shown with some practical examples of microscope lenses that the results are comparable with conventional methods. Additionally, a quasi-analytical model that describes the dependence of autofluorescence on various lens parameters is derived.

Antitumor Effect of 131I-Labeled Anti-VEGFR2 Targeted Mesoporous Silica Nanoparticles in Anaplastic Thyroid Cancer.

Anaplastic thyroid cancer (ATC) comprises approximately 2% of all thyroid cancers, and its median survival rate remains poor because of its resistance to conventional therapy. Vascular endothelial growth factor receptor (VEGFR)-targeted therapeutics-loaded mesoporous silica nanoparticles represent a major advance for angiogenesis imaging and inhibition in lethal cancers. In the present study, we aimed to assess whether 131I-labeled anti-VEGFR2 targeted mesoporous silica nanoparticles would have antitumor efficacy in an ATC tumor-bearing nude mouse model. Using in vitro and in vivo studies, we investigated the increased targeting ability and retention time in the anti-VEGFR2 targeted group using confocal microscopy and a γ counter. The tumor tissue radioactivity of the anti-VEGFR2 targeted group at 24 and 72 h after intratumoral injection was significantly higher than that of the non-targeted groups (all P < 0.05). Moreover, we found that radioactive accumulation was obvious even at 3 week post-injection in the anti-VEGFR2 targeted group via single-photon emission computed tomography/computed tomography, which was not seen at 3 day post-injection in the Na131I group. Meanwhile, compared with the non-targeted group, tumor growth in the targeted group was significantly inhibited, without causing apparent systemic toxic effects. Additionally, the median survival time in the targeted group (41 days) was significantly prolonged compared with that in the non-targeted (34 days) or Na131I (25 days) groups (both P < 0.01). Our data support the view that the as-developed 131I-labeled anti-VEGFR2 targeted mesoporous silica nanoparticles showed promising results in ATC tumor-bearing mouse model and such an approach might represent a novel therapeutic option for ATC.

3rd-order spherochromatism surface contribution and its intrinsic and induced aberration parts.

An investigation of the chromatic effects in refracting optical systems naturally shows that all five Seidel aberrations vary in wavelength because they are all dependent on the refractive index. In general, the color variation of spherical aberration is denoted as spherochromatism. Besides the chromatic variation of 1st-order paraxial parameters, e.g., focal length and magnification, described by axial and lateral color, spherochromatism can also strongly affect the color correction of an optical system. However, to the best of our knowledge, the literature shows no exact analytical formula available, specifying this effect. Actually, a general 3rd-order description based on the chromatic variation of Seidel's surface contribution for spherical aberration has not yet been considered. Therefore, this paper deals with this mentioned analytical gap and provides a description of a 3rd-order surface contribution for spherochromatism. Based on this, the result is analyzed and discussed concerning the differentiating between intrinsic and induced aberration parts. In the case of spherochromatism, its 3rd-order contribution shows induced effects caused by prior summed-up primary color aberrations of the system.

Analysis of risk factors of rapid thyroidal radioiodine-131 turnover in Graves' disease patients.

Rapid iodine-131(131I) turnover in the thyroid gland is an important feature of Graves' disease (GD) and also a strong predictor of radioiodine therapy failure. The aim of this study was to explore the predictors of rapid 131I turnover. The clinical data on 2543 patients were retrospectively reviewed. Patients were divided into 2 groups depending on present or absent with rapid 131I turnover defined as a 4-hour to 24-hour 131I uptake ratio of ≥1. Overall, 590 cases (23.2%) had a rapid 131I turnover. In the univariate analysis, gender, age, FT3/FT4 concentration, disease duration, with or without antithyroid drugs (ATD), time of ATD, thyroid weight and thyroid textures displayed significant differences. Cutoff values of age, FT3 and thyroid weight to predict rapid 131I turnover were 38 years, 35 pmol/l and 56 g by receiver operating characteristic curves. Binary logistic regression analysis further revealed higher probability of rapid 131I turnover in patients with thyroid weight ≥56 g (odds ratio [OR]:3.7, 95% confidence interval [CI]: 3.032-4.559), age <38 years (OR:2.3, 95%CI: 1.906-2.856), FT3 concentration ≥35 pmol/l (OR:7.6, 95%CI: 5.857-8.563) and females (OR:2.2, 95%CI: 1.757-2.791). In conclusion, larger goiters, younger age, higher FT3 concentration and females are independently associated with rapid 131I turnover in GD patients.

Analysis of radioiodine therapy and prognostic factors of differentiated thyroid cancer patients with pulmonary metastasis: An 8-year retrospective study.

To assess the efficacy of radioiodine therapy (RIT) and investigate the prognostic factors for patients with pulmonary metastasis secondary to differentiated thyroid carcinoma (DTC) through a retrospective study. A total of 80 patients with radioactive iodine-131 (I)-avid pulmonary metastasis from DTC treated with I from 2007 to 2014 at our institution entered the study. Treatment response was mainly measured by two parameters: serum thyroglobulin (Tg) levels and post-therapeutic I whole-body scan (WBS). Treatment variables were assessed for statistical significance using the univariate and multivariate analyses. A receiver-operating characteristic (ROC) curve was also plotted to verify the accuracy of predictors. Of these 80 patients, the overall effective rate was 72.5% (58/80), the rates for complete response (CR), partial response (PR), and no response (NR) were 20.0%, 52.5%, and 27.5%, respectively. Univariate analysis showed that gender, pulmonary nodule size, absence or presence of extrapulmonary distant metastases, age, and Tg level at diagnosis were significantly associated with I therapy efficacy. Binary logistic regression analysis revealed that older patients (odds ratio [OR]:1.481, 95% confidence interval [CI]: 1.457-2.091, P = .020), subjects with higher Tg levels at diagnosis (OR: 1.046, 95% CI: 1.016-1.119, P = .014), and those with extrapulmonary distant metastases (OR: 1.185, 95%CI: 1.025-1.463, P = .020) had a higher probability of poor prognosis. The optimal cutoffs for age and Tg level to predict I therapy efficacy for DTC with lung metastases were 46 years old and 55.50 ng/mL, respectively, based on ROC analysis. This study indicated that most DTC patients with pulmonary metastases can obtain partial or complete remission after RIT, while older patients with higher Tg levels at diagnosis and extrapulmonary distant metastases more likely show poor prognosis.