The incidence of thyroid cancer has been increasing,and early diagnosis and treatment are crucial for improving patient prognosis.With the advancement of artificial intelligence(AI)technology,significant progress has been made in its application in the diagnosis and treatment of thyroid cancer.AI technology has notably enhanced the diagnostic accuracy of thyroid cancer.By optimizing imaging examinations such as ultrasound and CT scans,it can more precisely identify malignant features of thyroid nodules.In fine-needle aspiration biopsy,the integration of AI with genetic testing technologies has improved both the accuracy and efficiency of diagnosis.In terms of treatment,AI assists in intraoperative functional preservation,reducing the risk of surgical trauma.For instance,it can accurately identify the locations of the recurrent laryngeal nerve and parathyroid glands.Additionally,AI is capable of predicting the efficacy of 131I treatment and the risk of complications,thereby guiding postoperative follow-up and management.The core strength of AI technology lies in its powerful data processing and analytical capabilities,enabling it to uncover latent patterns within data and provide a scientific basis for treatment decision-making.Looking ahead,with continuous technological advancements,AI is expected to propel the diagnosis and treatment of thyroid cancer towards greater intelligence and precision.However,challenges such as data privacy and algorithm transparency need to be addressed.This article provides a review of the research progress of AI technology in the fields of diagnosis,treatment,and prognosis prediction of thyroid cancer,explores the current strengths and weaknesses of AI technology,and looks forward to its future development directions while acknowledging challenges like data privacy and algorithm transparency.

The incidence of thyroid cancer has been increasing,and early diagnosis and treatment are crucial for improving patient prognosis.With the advancement of artificial intelligence(AI)technology,significant progress has been made in its application in the diagnosis and treatment of thyroid cancer.AI technology has notably enhanced the diagnostic accuracy of thyroid cancer.By optimizing imaging examinations such as ultrasound and CT scans,it can more precisely identify malignant features of thyroid nodules.In fine-needle aspiration biopsy,the integration of AI with genetic testing technologies has improved both the accuracy and efficiency of diagnosis.In terms of treatment,AI assists in intraoperative functional preservation,reducing the risk of surgical trauma.For instance,it can accurately identify the locations of the recurrent laryngeal nerve and parathyroid glands.Additionally,AI is capable of predicting the efficacy of 131I treatment and the risk of complications,thereby guiding postoperative follow-up and management.The core strength of AI technology lies in its powerful data processing and analytical capabilities,enabling it to uncover latent patterns within data and provide a scientific basis for treatment decision-making.Looking ahead,with continuous technological advancements,AI is expected to propel the diagnosis and treatment of thyroid cancer towards greater intelligence and precision.However,challenges such as data privacy and algorithm transparency need to be addressed.This article provides a review of the research progress of AI technology in the fields of diagnosis,treatment,and prognosis prediction of thyroid cancer,explores the current strengths and weaknesses of AI technology,and looks forward to its future development directions while acknowledging challenges like data privacy and algorithm transparency.

Objective:To investigate the influence of nonylphenol (NP) on cytoactive and the expression of G protein-coupled estrogen receptor 30 (GPR30) in human colon cancer SW480 cells.Methods:The experimental study was conducted. The human colon cancer SW480 cells were cultured in vitro. The influence of NP on proliferation, cell cycle, apoptosis and the expression of GPR30 in human colon cancer SW480 cells were analyzed by cell proliferation, cell cycle detection, cell apoptosis and gene expression and protein expression experiments. Cell grouping: SW480 cells cultured with medium were set as the control group, cultured with medium+1×10 ?8 mol/L estradiol were set as the estradiol group, cultured with medium+1×10 ?8 mol/L NP were set as the NP group, cultured with medium+1×10 ?8 mol/L NP+1×10 ?7 mol/L GPR30 specific antagonist G15 were set as the NP+G15 group, respectively. Observation indicators: (1) proliferation index of human colon cancer SW480 cells in the 4 groups; (2) cycle proportion of human colon cancer SW480 cells in the 4 groups; (3) apoptosis index of human colon cancer SW480 cells in the 4 groups; (4) GPR30 messenger RNA(mRNA) expression of human colon cancer SW480 cells in the 4 groups; (5) GPR30 protein expression of human colon cancer SW480 cells in the 4 groups. Measurement data with normal distribution were represented as Mean± SD and one way ANOVA was used for comparison between groups. The least significant difference method was used to test the pairwise comparison. Results:(1) Proliferation index of human colon cancer SW480 cells in the 4 groups. Results of the cell proliferation experiments showed that the proliferation indexes of human colon cancer SW480 cells in the control group, the estradiol group, the NP group and the NP+G15 group were 100.00±0.00, 89.19±4.86, 148.96±6.04 and 120.40±3.39, respectively, showing a significant difference among the 4 groups ( F=21.45, P<0.05). There was a significant difference between the control group and the NP group ( P<0.05), and there was no significant difference between the control group and the estradiol group, between the control group and the NP+G15 group ( P>0.05). (2) Cycle proportion of human colon cancer SW480 cells in the 4 groups. Results of the cell cycle detection experiments showed that the proportions of human colon cancer SW480 cells in the S phase of the cell cycles in the control group, the estradiol group, the NP group and the NP+G15 group were 39.96%±2.02%, 36.67%±0.62%, 43.85%±1.02% and 38.29%±1.42%, respectively, showing a significant difference among the 4 groups ( F=10.08, P<0.05). There were significant differences between the control group and the estradiol group, between the control group and the NP group ( P<0.05), and there was no significant difference between the control group and the NP+G15 group ( P>0.05). (3) Apoptosis index of human colon cancer SW480 cells in the 4 groups. Results of the cell apoptosis experiments showed that the apoptosis indexes of human colon cancer SW480 cells in the control group, the estradiol group, the NP group and the NP+G15 group were 1.67±0.18, 4.80±0.31, 0.75±0.11 and 2.20±0.19, respectively, showing a significant difference among the 4 groups ( F=136.79, P<0.05). There were significant differences between the control group and the estradiol group, between the control group and the NP group ( P<0.05), and there was no significant difference between the control group and the NP+G15 group ( P>0.05). (4) GPR30 mRNA expression of human colon cancer SW480 cells in the 4 groups. Results of quantitative real-time polymerase chain reaction detection showed that the relative expression rates of GPR30 mRNA in human colon cancer SW480 cells of the control group, the estradiol group, the NP group and the NP+G15 group were 1.00±0.00, 0.86±0.05, 1.89±0.27 and 0.64±0.12, respectively, showing a significant difference among the 4 groups ( F=26.61, P<0.05). There were significant differences between the control group and the NP group, between the control group and the NP+G15 group ( P<0.05), and there was no significant difference between the control group and the estradiol group ( P>0.05). (5) GPR30 protein expression human colon cancer SW480 cells in the 4 groups. Results of Western blot detection showed that the relative expression rates of GPR30 protein in human colon cancer SW480 cells of the control group, the estradiol group, the NP group and the NP+G15 group were 1.83±0.16, 1.68±0.15, 3.10±0.30 and 1.26±0.11, respectively, showing a significant difference among the 4 groups ( F=34.05, P<0.05). There were significant differences between the control group and the NP group, between the control group and the NP+G15 group ( P<0.05), and there was no significant difference between the control group and the estradiol group ( P>0.05). Conclusion:Low dose of NP can increase the proliferation index and the proportion of cells in the S phase of the cell cycles, decrease the apoptosis index, and promote the mRNA and protein expression of GPR30 in human colon cancer SW480 cells.

Adrenal Castleman's disease is rare. One case of left adrenal Castleman's disease, who underwent retroperitoneal laparoscopic left adrenal gland and tumor resection. The postoperative pathological diagnosis was adrenal Castleman's disease (transparent vascular type), and no tumor recurrence was found after 2 years of follow-up.

Objective:To investigate the effect of lncRNA HOTTIP on the radiosensitivity of four non-small cell lung cancer cell lines cultured in vitro by regulating the expression of miR-663a. Methods:Four non-small cell lung cancer cell lines (H838, H157, A549, and H1299) were irradiated with different radiation intensities (0, 2, 4, 6, and 8 Gy). Cell survival was detected by colony formation assay. The expression levels of HOTTIP and miR-663a were detected by qRT-PCR. A549 and H1299 cells were selected for the subsequent experiment. After silencing HOTTIP and/or over-expressing miR-663a, cell survival was detected by colony formation assay. Cell apoptosis was detected by flow cytometry. The expression levels of Cleaved caspase-3, Cleaved PARP andγ-H 2AX were quantitatively measured by Western blot. The targeting relationship between HOTTIP and miR-663a was vefiried by dual luciferase reporter assay and qRT-PCR. Results:The expression of HOTTIP was up-regulated, whereas that of miR-663a was down-regulated in the radiation-resistant H157, A549 and H1299 cells. Silencing HOTTIP or over-expressing miR-663a inhibited the survival of A549 and H1299 cells (radiosensitization ratios were 1.562 and 1.507, respectively), promoted the expression of Cleaved caspase-3, Cleaved PARP and γ-H 2AX, and accelerated cell apoptosis induced by radiation exposure. miR-663a was a target gene of HOTTIP, and HOTTIP negatively regulated the expression of miR-663a. The inhibition of miR-663a reversed the effect of silencing HOTTIP on the radiosensitivity of non-small cell lung cancer cells. Conclusion:Silencing HOTTIP can suppress the survival of non-small cell lung cancer cells and promotes cell apoptosis by up-regulating the expression of miR-663a, thereby enhancing the radiosensitivity of non-small cell lung cancer cell lines.

To establish and analyze the HPLC specific chromatograms of Xingnaojing injection manufactured by different factories. The separation was performed on a Thermo BDS Hypersil C₁₈ column (4.6 mm×250 mm, 5 μm), with the mobile phase consisting of acetonitrile-0.02% formic acid aqueous solution for gradient elution. The flow rate was 1.0 mL•min⁻¹, and the column temperature was 35 ℃. The detection wavelength was set at 254 nm, and the sample size was 20 μL. Eleven chromatographic peaks were identified as characteristic peaks of HPLC specific chromatograms of Xingnaojing injection, after analyzing 29 batches of Xingnaojing injection samples. Compared with the reference substances, seven of them were identified as eucarvone, camphor, curcumenone, curcumenol, curdione, curzerenone and germacrone, respectively. HPLC specific chromatograms of Xingnaojing injection manufactured by three factories could be easily classified into three categories after investigation with computer-aided similarity evaluation system combined with principal component analysis. The established HPLC specific chromatograms provide a basis for scientific evaluation and effective control of the quality of Xingnaojing injection.

Objective To investigate the correlation of moesin and E-cadherin with biological behavior of breast cancer and its mechanism by comparing expression of moesin and E-cadherin in breast invasive carcinoma of no specific type (BIC-NST),breast ductal carcinoma in situ (BDCIS) and normal breast tissues adjacent to carcinoma.Methods Breast cancer cases of the Huizhou Municipal Center People Hospital were collected between Jan 2008 and Dec 2010,expression of moesin and E-cadherin in 104 cases of BIC-NST,84 cases of BDCIS and 53 cases of normal breast tissues adjacent to carcinoma were detected by tissue-microarray and SP immunohistochemical staining.Western blot was used to detect moesin expression of 16 BIC-NST fresh tissues.Results Expression rate of moesin in BIC-NST and BDCIS were significantly higher than normal tissues(P ＜ 0.01),but the expression rate of E-cadherin in BIC-NST and BDCIS were significantly lower than those of normal tissues(P ＜ 0.01).Expression rate of moesin in BIC-NST grade Ⅲ group was significantly higher than that of the grade Ⅰ group.There was a significantly positive correlation between histological grade and moesin expression(P ＜ 0.05).However,E-cadherin expression rate in BICNST grade Ⅲ group was significantly lower than that in grade Ⅰ group,and there was a significantly negative correlation between histological grade and E-cadherin expression (P ＜ 0.05).Moreover,no significant correlation was observed between moesin and E-cadherin expression in BDCIS tissues.Expression of moesin in clinical stage Ⅱ + Ⅲ BIC-NST was significantly higher than that in stage Ⅰ (P ＜ 0.01).Expression of moesin was significantly associated with lymph node metastasis (P ＜ 0.01).But no significant correlation was observed between moesin expression and age,tumor size and vascular invasion.However,expression of E-cadherin in clinical stage Ⅱ + Ⅲ BIC-NST was significantly lower than that in stage Ⅰ (P ＜ 0.01).Expression of E-cadherin was significantly associated with lymph node metastasis and vascular invasion (P ＜ 0.01).But no significant correlation was observed between E-cadherin expression,age and tumor size.There was a negative correlation between expression of moesin and E-cadherin in BIC-NST(P =0.021)and BDCIS(P =O.032).Conclusion Higher moesin and lower E-cadherin signal transduction is closely related to the recurrence and development of breast carcinoma,therefore moesin and E-cadherin might provide new targets for gene therapy in breast carcinoma.

Objective To explore the effect of intracavitary therapy on acute pulmonary embohsm.Methods Fifteen patients were selected as our subjects,who suffered acute pulmonary embolism and received percutaneous catheter thrombus crashing and catheter directed thrombolysis in Beijing Military.Region General Hospital from January 2009 to June 2011.Local injection of Urokinase was performed with a total amount of 500 000 U in catheter directed thrombolysis.After thrombolysis,low molecular Heparin was administered to patients for 7-10 days and oral administration of Warfarin was performed for 3-6 months.Clinical symptoms,improvement of physical signs,complications,changes of mean pulmonary arterial pressure(mPAP) and arterial partial pressure of oxygen(PO2),and the opening of pulmonary artery were recorded.Results The pulmonary arteries of the 12 patients were completely opened,and partially opened in 3 patients.The effective rate was 100％ (15/15).mPAP was reduced from (40.07 ±5.97) mmHg to (20.00 ±4.66) mmHg (t =-1.128,P ＜ 0.05),PO2 was increased from (50.26 ± 9.30) mmHg to (80.49 ± 9.04) mmHg (t =1.246,P ＜ 0.05).Patients were followed-up for 3-6 months and no recurrence case was seen.Conclusion The interventional therapy is effective,safe and practicable in the treatment of acute pulmonary embolism.

We present two cases of clear cell meningioma (CCM) in the intracranial and intraspinal region with anaplastic features. On histological examination, both the tumors exhibited unusual anaplastic appearances with nuclear pleomorphism, a high mitotic activity and necrosis, which were different from classical CCMs. The tumor cells were immunoreactive to epithelial membrane antigen (EMA) and vimentin with a high MIB-1 index of 40%. Total excision of the tumors was performed in both cases. The male patient was found to have local recurrence and lateral ventricle metastasis 3 months after the total excision. We reviewed the clinicopathological features, disagnosis and prognosis of the disease. We recommend that postoperative adjuvant radiotherapy or chemotherapy be performed after total tumor excision, and MRI scan every 3-6 months is mandatory during the initial follow-up period.
Adult ; Aged ; Female ; Follow-Up Studies ; Humans ; Male ; Meningeal Neoplasms ; immunology ; pathology ; therapy ; Meningioma ; immunology ; pathology ; therapy ; Mucin-1 ; immunology ; Vimentin ; immunology

Objective To evaluate the efficacy of color Doppler sonography combined with digital mammography for micro breast cancer screening.Methods Both of color Doppler sonography and digital mammography were performed in 66 patients with micro breast cancer less than 1.5 cm in diameter and 20 patients with benign lesion less than 1.5 cm in diameter.The images of sonography and mammography were analyzed respectively.A comparative study on the results of sonography,mammography and pathological finding of specimen in breast lesions was made.Results Fifty-five of 66 Cases with micro breast cancer were detected by digital mammography.52 of 66 cases by color Doppler sonography and 65 of 66 cases by sonography combined with mammography.The color Doppler sonography combined with digital mammography provided higher sensitivity,specificity and accuracy[98.5%(65/66),100.0%(20/20)and 98.8%(85/86)respectively]than color Doppler sonography[78.8%(52/66),75.0%(15/20),77.9% (67/86)respectively]and digital mammography alone[83.3%(55/66),90.0%(18/20)and 84.9%(73/86)respectively](P＜0.05).The peak flow velocities and the mean resistant index were higher in malignant lesion than those in benign lesion(P＜0.05).Conclusions The color Doppler sonography combined with digital mammography can increase the sensitivity and accuracy of diagnosing micro breast cancer.Digital mammography is recommended to identify micro breast cancer.It is helpful of color Doppler sonography in differentiation of benign and malignant breast lesion.