Analysis of the clinical factors affecting excellent response of Iodine-131 treatment for pulmonary metastases from differentiated thyroid cancer

High Removal Efficiency of Radioactive Iodine with In Situ-Synthesized Ag2O-Mg(OH)2 Plate Composites

To promote the capacity of adsorbing radioactive iodine (I-) in acid and alkaline situations, a high-removal-efficiency adsorbent based on silver oxide (Ag2O) and magnesium hydroxide (Mg(OH)2) was synthesized by the in situ method. To determine the mechanism of this novel absorbent, batch experiments related to the temperature, pH, competitive ion (Cl-), and kinetic analysis were carried out. The results showed that the Ag2O-Mg(OH)2 plate composites had high adsorption capacity and efficiency for I- (409 mg/g, 25 °C) with a wide range of pH values (3-9). In addition, the adsorption time from the initial concentration to I- removal (97.36%) was only 20 min. Competitive ion experiments depicted that Cl- influenced the capacity of adsorbing I-. The k value of the pseudo-second-order model and regression factor R 2 were 7.86 × 10-3g mg-1 min-1 and 0.999 at 25 °C, respectively. The kinetics and XPS results proved that the mechanism of adsorption was chemical adsorption. Compared with other commercial adsorbents, the Ag2O-Mg(OH)2 plate composites had potential for application in nuclear wastewater treatment with low cost and high efficiency.

Unveiling the best predictive models for early‑onset metastatic cancer: Insights and innovations (Review)

Cancer metastasis is the primary cause of cancer deaths. Metastasis involves the spread of cancer cells from the primary tumors to other body parts, commonly through lymphatic and vascular pathways. Key aspects include the high mutation rate and the capability of metastatic cells to form invasive tumors even without a large initial tumor mass. Particular emphasis is given to early metastasis, occurring in initial cancer stages and often leading to misdiagnosis, which adversely affects survival and prognosis. The present review highlighted the need for improved understanding and detection methods for early metastasis, which has not been effectively identified clinically. The present review demonstrated the clinicopathological and molecular characteristics of early‑onset metastatic types of cancer, noting factors such as age, race, tumor size and location as well as the histological and pathological grade as significant predictors. In conclusion, the present review underscored the importance of early detection and management of metastatic types of cancer and called for improved predictive models, including advanced techniques such as nomograms and machine learning, so as to enhance patient outcomes, acknowledging the challenges and limitations of the current research as well as the necessity for further studies.