The association between thyroid-stimulating hormone and thyroid nodules, goiter and thyroid antibody positivity.

Background: The relationship between normal thyroid-stimulating hormone (TSH) levels and thyroid disease in adults remains controversial. This study aimed to investigate the correlation between serum TSH levels, particularly those falling within the normal range, and thyroid diseases in Chinese adults, including thyroid nodules (TN), goiter (GR), and thyroid antibody positivity. Materials and methods: This research was a cross-sectional study conducted in an adult population in Tianjin, China. Thyroid volume (Tvol) and TN were assessed using thyroid ultrasonography. Fasting venous blood and spot urine samples were collected to evaluate thyroid function and iodine status. Results: A total of 2460 subjects participated in the survey. The prevalence of thyroid dysfunction was 9.76%, and abnormal TSH levels were found to potentially increase the risk of GR and thyroid antibody positivity in adults. A total of 2220 subjects with TSH within the normal reference range were included in the further study. In these patients, Tvol decreased as TSH levels increased, in both men and women (P < 0.0001). Low TSH levels (0.27-1.41 IU/mL) were identified as a risk factor for TN (odds ratio [OR], 1.46; 95% CI: 1.14-1.87) and GR (OR 5.90, 95% CI 2.27-15.3). Upon stratification by sex and age, the risk of TN was found to be higher in women and elderly individuals (≥60 years old), while the risk of GR was found to be higher in men and younger individuals (<60 years old). High TSH levels (2.55-4.2 IU/mL) were identified as a risk factor for thyroid antibody positivity (OR, 1.53; 95% CI: 1.11-2.10). Men and younger individuals with high TSH levels exhibited a higher risk of thyroid antibody positivity. Conclusion: In adults with normal TSH levels, low TSH levels were associated with an increased risk of TN and GR, whereas high TSH levels were associated with thyroid antibody positivity. The research also suggests that adults whose TSH levels at upper or lower limits of the normal range should be reviewed regularly.

Iodine-specific food frequency questionnaire can evaluate iodine intakes of Chinese pregnant women.

Iodine is an essential trace element for the synthesis of thyroid hormones, which play an important role in growth and development, metabolism, and body organ function. There is no iodine-specific food frequency questionnaire (I-FFQ) for pregnant women in China. This study aimed to validate and optimize an I-FFQ. A total of 1802 pregnant women were included in this study. The iodine nutrition survey was performed using I-FFQ and 3-day estimated food diary (3DEFD). Seventy-one women of reproductive age repeated the I-FFQ twice to assess for FFQ reproducibility. Further optimization of the I-FFQ was accomplished by integrating iodine contributions to simplified questionnaire items. Correlation and Bland-Altman analyses were used to verify the consistency of I-FFQ with 3DEFD, as well as the stability and feasibility of I-FFQ optimization. The I-FFQ and 3DEFD had a strong correlation (R = 0.76, P < .001) and agreement (Kappa = 0.731, P < .001). A Bland-Altman plot showed that 5.1% of participants exceeded the limit of agreement. Nonpregnant women of reproductive age completed the I-FFQ twice, and the results had a strong correlation (R = 0.72, P < .001). A Bland-Altman analysis showed that 5.6% of individuals were located outside the limit of agreement. The consistency of I-FFQ before and after optimization was good (Kappa = 0.982, P < .001). Therefore, I-FFQ could be used as a valid tool to estimate iodine intake among Chinese pregnant women. The optimized I-FFQ could shorten survey time without affecting its accuracy.

A triple-classification for the evaluation of lung nodules manifesting as pure ground-glass sign: a CT-based radiomic analysis.

OBJECTIVES: To construct a noninvasive radiomics model for evaluating the pathological degree and an individualized treatment strategy for patients with the manifestation of ground glass nodules (GGNs) on CT images. METHODS: The retrospective primary cohort investigation included patients with GGNs on CT images who underwent resection between June 2015 and June 2020. The intratumoral regions of interest were segmented semiautomatically, and radiomics features were extracted from the intratumoral and peritumoral regions. After feature selection by ANOVA, Max-Relevance and Min-Redundancy (mRMR) and Least Absolute Shrinkage and Selection Operator (Lasso) regression, a random forest (RF) model was generated. Receiver operating characteristic (ROC) analysis was calculated to evaluate each classification. Shapley additive explanations (SHAP) was applied to interpret the radiomics features. RESULTS: In this study, 241 patients including atypical adenomatous hyperplasia (AAH) or adenocarcinoma in situ (AIS) (n = 72), minimally invasive adenocarcinoma (MIA) (n = 83) and invasive adenocarcinoma (IAC) (n = 86) were selected for radiomics analysis. Three intratumoral radiomics features and one peritumoral feature were finally identified by the triple RF classifier with an average area under the curve (AUC) of 0.960 (0.963 for AAH/AIS, 0.940 for MIA, 0.978 for IAC) in the training set and 0.944 (0.955 for AAH/AIS, 0.952 for MIA, 0.926 for IAC) in the testing set for evaluation of the GGNs. CONCLUSION: The triple classification based on intra- and peritumoral radiomics features derived from the noncontrast CT images had satisfactory performance and may be used as a noninvasive tool for preoperative evaluation of the pure ground-glass nodules and developing of individualized treatment strategies.

Versatile Photocrosslinked Protein Hydrogel Matrix for Magnetic-Nanoparticle-Doping and Biomineralization.

A versatile template biomaterial was facilely obtained by ultraviolet (UV) photocrosslinking approach using protein molecules as building blocks. As-formed photocrosslinked protein hydrogel matrix (PPHM) was proved to be composed of covalently bound and dense packing protein molecules. Therefore, the PPHM was endowed with highly smooth topograghy with an average roughness of approximately 5 nm, and was self-supporting and flexible. The PPHM could be easily functionalized by doping Fe3O4 magnetic nanoparticles inside the protein hydrogel. Further, PPHM was experimentally demonstrated to be used as a applicable template for biomineralization.

Hematoma volume affects the accuracy of computed tomographic angiography 'spot sign' in predicting hematoma expansion after acute intracerebral hemorrhage.

BACKGROUND: We hypothesized that the presence of tiny, enhancing foci ('spot sign') within acute hematomas is associated with hematoma expansion. METHODS: We retrospectively analyzed the effect of hematoma volume on accuracy of computed tomographic angiography (CTA) in predicting hematoma expansion in 312 patients with acute intracerebral hemorrhage (ICH). The patients were divided into 2 groups according to their initial hematoma volume (<30 vs. ≥30 ml). CTA was performed at admission and 24 h after initial presentation. RESULTS: The <30-ml group consisted of 203 patients of whom 42 had hematoma expansion (20.9%). The ≥30-ml group consisted of 109 patients of whom 34 had hematoma expansion (31.19%). In the <30-ml group, the sensitivity and specificity of CTA in predicting hematoma expansion were 71.4 and 93.8%, respectively. In the ≥30-ml group, the sensitivity and specificity of CTA were 85.7 and 91.9%, respectively. For all 312 patients, the area under the curve was 0.86 (p < 0.001, 95% CI 0.80-0.92); the sensitivity and specificity of CTA were 77.9 and 93.2%, respectively. CONCLUSIONS: CTA can reliably predict hematoma expansion in clinical practice, especially for hematomas >30 ml.