Objective To evaluate the application value of artificial intelligence (AI) in the quality control of mammographic images and explore its feasibility for improving image quality. Methods A retrospective analysis was conducted on 500 mammographic images from 125 female patients. These images were acquired in December 2024 at the Department of Radiology, Obstetrics and Gynecology Hospital of Tongji University by two junior technologists with qualification certificate for junior radiologic technologists and ≤ 2 months of independent operation. The reference standard was the evaluation by a panel of senior experts comprising one associate chief radiologist and two intermediate radiologic technologists with over 10 years of experience in mammography. The evaluation was based on nine criteria within an AI quality control system. The correlation and consistency (Kappa test) of the assessment outcomes were compared among the junior technologist group, the AI quality control group, and the panel group. Additionally, the differences in the proportions of high-, medium-, and low-quality images rated by the three groups were analyzed. After one month of AI assistance, 200 images from 50 additional patients acquired by the same two junior technologists in January 2025 were collected. The area under the receiver operating characteristic curve and 95% confidence interval (95%CI) were calculated for the assessment performance of the junior technologist group before and after AI assistance. Differences were compared using the DeLong test. Changes in the disqualification rates for the nine criteria were analyzed. Results In consistency analysis, the AI quality control group showed high consistency with the panel group across multiple key criteria, with Kappa values ranging from 0.41 to 1.00. In contrast, the consistency between the junior technologist group and the panel group was generally low, with Kappa values ranging from 0.13 to 0.49. In comparison of image quality classification, no significant differences were observed in image quality classification between the AI group and the panel group (P>0.05). However, the proportion of images rated as high quality by the junior technologist group was significantly higher, while the proportions rated as medium and low quality were significantly lower, compared to those rated by the panel group (P<0.05). After AI assistance, the area under the receiver operating characteristic curve for the assessment performance of junior technologist group increased significantly from 0.56 (95%CI: 0.51-0.61) to 0.91 (95%CI: 0.87-0.94) (P<0.001). The disqualification rates for skin folds, incomplete inclusion of the pectoralis major muscle, and nipple not in profile decreased significantly. Conclusion AI demonstrates assessment capability comparable to the panel group in mammographic quality control. AI effectively enhances the quality of images acquired by junior technologists through real-time, objective feedback.

Objective To evaluate the application value of artificial intelligence (AI) in the quality control of mammographic images and explore its feasibility for improving image quality. Methods A retrospective analysis was conducted on 500 mammographic images from 125 female patients. These images were acquired in December 2024 at the Department of Radiology, Obstetrics and Gynecology Hospital of Tongji University by two junior technologists with qualification certificate for junior radiologic technologists and ≤ 2 months of independent operation. The reference standard was the evaluation by a panel of senior experts comprising one associate chief radiologist and two intermediate radiologic technologists with over 10 years of experience in mammography. The evaluation was based on nine criteria within an AI quality control system. The correlation and consistency (Kappa test) of the assessment outcomes were compared among the junior technologist group, the AI quality control group, and the panel group. Additionally, the differences in the proportions of high-, medium-, and low-quality images rated by the three groups were analyzed. After one month of AI assistance, 200 images from 50 additional patients acquired by the same two junior technologists in January 2025 were collected. The area under the receiver operating characteristic curve and 95% confidence interval (95%CI) were calculated for the assessment performance of the junior technologist group before and after AI assistance. Differences were compared using the DeLong test. Changes in the disqualification rates for the nine criteria were analyzed. Results In consistency analysis, the AI quality control group showed high consistency with the panel group across multiple key criteria, with Kappa values ranging from 0.41 to 1.00. In contrast, the consistency between the junior technologist group and the panel group was generally low, with Kappa values ranging from 0.13 to 0.49. In comparison of image quality classification, no significant differences were observed in image quality classification between the AI group and the panel group (P>0.05). However, the proportion of images rated as high quality by the junior technologist group was significantly higher, while the proportions rated as medium and low quality were significantly lower, compared to those rated by the panel group (P<0.05). After AI assistance, the area under the receiver operating characteristic curve for the assessment performance of junior technologist group increased significantly from 0.56 (95%CI: 0.51-0.61) to 0.91 (95%CI: 0.87-0.94) (P<0.001). The disqualification rates for skin folds, incomplete inclusion of the pectoralis major muscle, and nipple not in profile decreased significantly. Conclusion AI demonstrates assessment capability comparable to the panel group in mammographic quality control. AI effectively enhances the quality of images acquired by junior technologists through real-time, objective feedback.

Objective To evaluate the application value of artificial intelligence (AI) in the quality control of mammographic images and explore its feasibility for improving image quality. Methods A retrospective analysis was conducted on 500 mammographic images from 125 female patients. These images were acquired in December 2024 at the Department of Radiology, Obstetrics and Gynecology Hospital of Tongji University by two junior technologists with qualification certificate for junior radiologic technologists and ≤ 2 months of independent operation. The reference standard was the evaluation by a panel of senior experts comprising one associate chief radiologist and two intermediate radiologic technologists with over 10 years of experience in mammography. The evaluation was based on nine criteria within an AI quality control system. The correlation and consistency (Kappa test) of the assessment outcomes were compared among the junior technologist group, the AI quality control group, and the panel group. Additionally, the differences in the proportions of high-, medium-, and low-quality images rated by the three groups were analyzed. After one month of AI assistance, 200 images from 50 additional patients acquired by the same two junior technologists in January 2025 were collected. The area under the receiver operating characteristic curve and 95% confidence interval (95%CI) were calculated for the assessment performance of the junior technologist group before and after AI assistance. Differences were compared using the DeLong test. Changes in the disqualification rates for the nine criteria were analyzed. Results In consistency analysis, the AI quality control group showed high consistency with the panel group across multiple key criteria, with Kappa values ranging from 0.41 to 1.00. In contrast, the consistency between the junior technologist group and the panel group was generally low, with Kappa values ranging from 0.13 to 0.49. In comparison of image quality classification, no significant differences were observed in image quality classification between the AI group and the panel group (P>0.05). However, the proportion of images rated as high quality by the junior technologist group was significantly higher, while the proportions rated as medium and low quality were significantly lower, compared to those rated by the panel group (P<0.05). After AI assistance, the area under the receiver operating characteristic curve for the assessment performance of junior technologist group increased significantly from 0.56 (95%CI: 0.51-0.61) to 0.91 (95%CI: 0.87-0.94) (P<0.001). The disqualification rates for skin folds, incomplete inclusion of the pectoralis major muscle, and nipple not in profile decreased significantly. Conclusion AI demonstrates assessment capability comparable to the panel group in mammographic quality control. AI effectively enhances the quality of images acquired by junior technologists through real-time, objective feedback.

Osteoporosis is a prevalent skeletal condition characterized by reduced bone mass and strength, leading to increased fragility. Buqi-Tongluo (BQTL) decoction, a traditional Chinese medicine (TCM) prescription, has yet to be fully evaluated for its potential in treating bone diseases such as osteoporosis. To investigate the mechanism by which BQTL decoction inhibits osteoclast differentiation in vitro and validate these findings through in vivo experiments. We employed MTS assays to assess the potential proliferative or toxic effects of BQTL on bone marrow macrophages (BMMs) at various concentrations. TRAcP experiments were conducted to examine BQTL's impact on osteoclast differentiation. RT-PCR and Western blot analyses were utilized to evaluate the relative expression levels of osteoclast-specific genes and proteins under BQTL stimulation. Finally, in vivo experiments were performed using an osteoporosis model to further validate the in vitro findings. This study revealed that BQTL suppressed receptor activator of NF-κB ligand (RANKL)-induced osteoclastogenesis and osteoclast resorption activity in vitro in a dose-dependent manner without observable cytotoxicity. The inhibitory effects of BQTL on osteoclast formation and function were attributed to the downregulation of NFATc1 and c-fos activity, primarily through attenuation of the MAPK, NF-κB, and Calcineurin signaling pathways. BQTL's inhibitory capacity was further examined in vivo using an ovariectomized (OVX) rat model, demonstrating a strong protective effect against bone loss. BQTL may serve as an effective therapeutic TCM for the treatment of postmenopausal osteoporosis and the alleviation of bone loss induced by estrogen deficiency and related conditions.
Animals ; NFATC Transcription Factors/genetics* ; Drugs, Chinese Herbal/pharmacology* ; Ovariectomy ; Osteoclasts/metabolism* ; Female ; Osteogenesis/drug effects* ; Rats, Sprague-Dawley ; Rats ; NF-kappa B/genetics* ; Osteoporosis/genetics* ; Signal Transduction/drug effects* ; Bone Resorption/genetics* ; Cell Differentiation/drug effects* ; Humans ; RANK Ligand/metabolism* ; Mitogen-Activated Protein Kinases/genetics* ; Transcription Factors

Objective:To investigate the clinicopathological features including immunophenotype, molecular characteristics, differential diagnosis and prognosis of SMARCB1-deficient renal medullary carcinoma (RMC) without sickle cell trait.Methods:The clinicopathological data of 12 cases of SMARCB1-deficient RMC without sickle cell trait were collected from 7 domestic institutions during the period of 2015 to 2024. Their clinical characteristics, morphological features and immunohistochemical properties were observed and analyzed. High-throughput DNA-targeted next-generation sequencing was performed, and follow-up data were gathered along with relevant literature review.Results:Among the 12 patients, 5 were female and 7 were male. The patients age ranged from 27 to 84 years with a median age of 58.5 (46.0, 71.0) years. None of them had sickle cell disease or other hemoglobinopathies. Eight cases occurred in the left kidney and 4 cases were located in the right kidney. The average maximum diameter of the tumor was 6.1 (4.0,7.5) cm, with a range of 2.0 to 14.9 cm (the median maximum diameter 5.5 cm). Histologically, the tumors showed poorly differentiated adenocarcinoma, arranged in solid and tubular patterns. Papillary structure was noted in 5 cases, cribriform structure in 3 cases, rhabdoid differentiation in 3 cases, and sarcomatoid differentiation in 2 cases. Inflammatory desmoplastic stromal reaction was observed in 8 cases, among which stromal myxoid degeneration was seen in 6 cases. Tumor necrosis was apparent in 6 cases. The tumor cells had abundant eosinophilic or clear cytoplasm and prominent nucleoli. The nuclear grading was grade 3 or 4 according to the International Society of Urological Pathology (ISUP). Immunohistochemical staining showed that the tumor cells of all 12 cases expressed PAX8 and loss of SMARCB1/INI1 protein expression, and 5 of 10 cases expressed OCT3/4. Seven samples had valid archived paraffin tissues for high-throughput DNA-targeted next-generation sequencing. The results showed that all 7 cases had pathogenic mutations in the SMARCB1 gene. The mutation sites included exon5 c.595A>T (p.K199*), exon2 c.200_207del (p.S67*), exon2 p.G69VfsTer16, exon7 c.986G>T (p.S329I), exon7 c.886A>T (p.K296*), exon6 c.635T>A (p.L212*), exon5 c.577del (p.M193Wfs16), and exon6 c.784del (p.V262Sfs5). Follow-up data were obtained for 6 of 12 patients. Among them, 1 patient had lung and bone metastases, 1 patient had liver and bone metastases and 1 patient had multiple bone metastases at the time of diagnosis; 1 patient had bone metastases 5 months after surgery. One patient died of postoperative complications 10 days after surgery, 4 patients died of tumors (the survival time ranged from 4 to 8 months), and 1 patient had no recurrence or metastasis during the 8-month follow-up after surgery.Conclusions:SMARCB1-deficient RMC without sickle cell trait is a highly aggressive and poorly differentiated renal cell carcinoma. It has similar histomorphology, immunophenotype, molecular characteristics and prognosis to RMC, which further supports that it is a sporadic subtype of RMC related to sickle cell trait.

Objective:To investigate the clinicopathological features including immunophenotype, molecular characteristics, differential diagnosis and prognosis of SMARCB1-deficient renal medullary carcinoma (RMC) without sickle cell trait.Methods:The clinicopathological data of 12 cases of SMARCB1-deficient RMC without sickle cell trait were collected from 7 domestic institutions during the period of 2015 to 2024. Their clinical characteristics, morphological features and immunohistochemical properties were observed and analyzed. High-throughput DNA-targeted next-generation sequencing was performed, and follow-up data were gathered along with relevant literature review.Results:Among the 12 patients, 5 were female and 7 were male. The patients age ranged from 27 to 84 years with a median age of 58.5 (46.0, 71.0) years. None of them had sickle cell disease or other hemoglobinopathies. Eight cases occurred in the left kidney and 4 cases were located in the right kidney. The average maximum diameter of the tumor was 6.1 (4.0,7.5) cm, with a range of 2.0 to 14.9 cm (the median maximum diameter 5.5 cm). Histologically, the tumors showed poorly differentiated adenocarcinoma, arranged in solid and tubular patterns. Papillary structure was noted in 5 cases, cribriform structure in 3 cases, rhabdoid differentiation in 3 cases, and sarcomatoid differentiation in 2 cases. Inflammatory desmoplastic stromal reaction was observed in 8 cases, among which stromal myxoid degeneration was seen in 6 cases. Tumor necrosis was apparent in 6 cases. The tumor cells had abundant eosinophilic or clear cytoplasm and prominent nucleoli. The nuclear grading was grade 3 or 4 according to the International Society of Urological Pathology (ISUP). Immunohistochemical staining showed that the tumor cells of all 12 cases expressed PAX8 and loss of SMARCB1/INI1 protein expression, and 5 of 10 cases expressed OCT3/4. Seven samples had valid archived paraffin tissues for high-throughput DNA-targeted next-generation sequencing. The results showed that all 7 cases had pathogenic mutations in the SMARCB1 gene. The mutation sites included exon5 c.595A>T (p.K199*), exon2 c.200_207del (p.S67*), exon2 p.G69VfsTer16, exon7 c.986G>T (p.S329I), exon7 c.886A>T (p.K296*), exon6 c.635T>A (p.L212*), exon5 c.577del (p.M193Wfs16), and exon6 c.784del (p.V262Sfs5). Follow-up data were obtained for 6 of 12 patients. Among them, 1 patient had lung and bone metastases, 1 patient had liver and bone metastases and 1 patient had multiple bone metastases at the time of diagnosis; 1 patient had bone metastases 5 months after surgery. One patient died of postoperative complications 10 days after surgery, 4 patients died of tumors (the survival time ranged from 4 to 8 months), and 1 patient had no recurrence or metastasis during the 8-month follow-up after surgery.Conclusions:SMARCB1-deficient RMC without sickle cell trait is a highly aggressive and poorly differentiated renal cell carcinoma. It has similar histomorphology, immunophenotype, molecular characteristics and prognosis to RMC, which further supports that it is a sporadic subtype of RMC related to sickle cell trait.

OBJECTIVE To investigate the effect and mechanism of Panax notoginseng saponins （PNS） on wound healing after anal fistula surgery in rats by regulating the hypoxia-inducible factor-1α （HIF-1α）/vascular endothelial growth factor （VEGF）/ vascular endothelial growth factor receptor-2 （VEGFR2） signaling pathway. METHODS SD rats were selected to establish a postoperative rat model of anal fistula by infecting wound with Escherichia coli. The model rats were randomly grouped into model group， PNS low-dose and high-dose groups （15， 30 mg/cm2）， high-dose of PNS+2-methoxyestradiol （2ME2） group （PNS 30 mg/cm2+HIF-1α inhibitor 2ME2 4 mg/kg）， with 10 rats in each group. Another 10 normal rats were selected for back hair removal treatment as the control group. Each drug group was injected with the corresponding drug solution intramuscularly or （and） intraperitoneally， once a day， for 3 weeks. After the last administration， the wound healing rate （excluding the control group）， microvascular density （MVD）， the expression of collagen Ⅰ and fibronectin （FN） in the wound tissue were detected in each group； the levels of angiogenic factors [VEGF， E-mail：842710813@qq.com angiopoietin-Ⅰ （Ang-Ⅰ）， Ang-Ⅱ] in serum， the levels of inflammatory factors [interleukin-6 （IL-6） and IL-2] in serum binggui7183@163.com and wound tissue as well as the expressions of the related proteins of HIF-1α/VEGF/VEGFR2 signaling pathway in the wound tissue of rats were also detected in each group. RESULTS The MVD， the expression of collagen Ⅰ and FN in the wound tissue， and the levels of IL-6 and IL-2 in serum and wound tissue of rats increased significantly in the model group， compared to the control group （P＜0.05）， while the serum levels of VEGF， Ang- Ⅰ and Ang-Ⅱ decreased significantly （P＜0.05）. The wound healing rate， the MVD in wound tissue， the serum levels of VEGF， Ang-Ⅰ and Ang-Ⅱ， the expressions of collagen Ⅰ and FN in the wound tissue， and protein expressions of HIF-1α， VEGF and VEGFR2 in the PNS low-dose and high-dose groups increased significantly， compared to the model group （P＜0.05）， while the levels of IL-6 and IL-2 in serum and wound tissue decreased significantly （P＜0.05）； the high-dose PNS had a stronger effect （P＜ 0.05）. 2ME2 could weaken the effect of PNS on above indicators of rats after anal fistula surgery （P＜0.05）. CONCLUSIONS PNS can promote the production of angiogenic factors and inhibit the production of pro-inflammatory factors， thereby promoting wound healing in rats after anal fistula surgery. The above effects are related to the activation of HIF-1α/VEGF/VEGFR2 signaling pathway.

Objective:To investigate the clinicopathologic features of sarcomatoid carcinoma of the pancreas.Methods:The clinicopathological data of 7 cases with sarcomatoid carcinoma of the pancreas admitted in the Affiliated Lihuili Hospital of Ningbo University from September 2013 to August 2021 were retrospectively analyzed, including clinical manifestations, laboratory examination, imaging examination, pathological examination of tissue specimens, surgical methods and adjuvant treatments. Expressions of mesenchymal markers and epithelial markers in tumor tissues were determined by immunohistochemical staining.Results:Among the 7 cases of sarcomatoid carcinoma of the pancreas, there were 4 male and 3 female. The patient age ranged from 51 to 88 years old, and the mean age was 69 years old. All the patients underwent CT examimation before surgery. 3 tumors were located in the head, 3 in the body and 1 in the tail of the pancreas. CT examination also showed that 4 tumors were cystic solid and 3 were cystic. Six patients underwent radical surgery and one underwent partial resection for biopsy. Microscopically, the tumor was predominantly composed of sarcomatoid spindle-shaped cells. Immunohistochemical staining showed that the tumor expressed both mesenchymal markers vimentin and epithelial marker CK7, CK19, CK(pan) and CAM5.2. The overall prognosis of the patients was poor, 4 cases died within 1 year after surgery, and the other 3 cases survived without recurrence.Conclusions:The clinical manifestations of sarcomatoid carcinoma of the pancreas were not typical, but the pathological and immunohistochemical features are obvious and the prognosis is poor.

Objective:To study the clinicopathological features, immunohistochemical phenotypes, molecular changes, differential diagnosis and prognosis of isolated intraductal carcinoma of the prostate (iIDC-P).Methods:Three iIDC-P cases were collected retrospectively from 2016 to 2022 at Ningbo Clinical Pathology Diagnosis Center, Ningbo, China. The clinicopathologic features and immunophenotypic profiles were studied using light microscopy and immunohistochemistry. A targeted next-generation sequencing panel was used to analyze cancer-associated mutations. Follow-up and literature review were also performed.Results:The patients′ ages were 61, 67 and 77 years, and their preoperative prostate specific antigen (PSA) levels were 7.99, 7.99 and 4.86 μg/L, respectively. Case 1 and 2 were diagnosed on needle biopsy and radical prostatectomy (RP) specimens, and case 3 was diagnosed on a specimen of transurethral resection of the prostate (TURP). The RP specimen was entirely submitted for histologic examination. In the case 1, iIDC-P was found in one tissue core (involving two ducts) in the biopsy specimen, and in 6 sections (diameter, 0.3-1.1 cm) from the radical prostatectomy specimen, and one section had separate foci of low-grade acinar adenocarcinoma (diameter, 0.05 cm). In the case 2, 6 tissue sections from the biopsy specimens showed iIDC-P, and 13 sections from RP specimen showed iIDC-P (diameter, 0.5-1.6 cm), and the other 3 sections had separate low grade acinar adenocarcinoma (diameter, 0.6 cm). In the case 3, 5 tissue blocks from the TURP specimen showed iIDC-P. The case 1 and 2 showed solid architecture with expansile proliferation of neoplastic cells in native ducts and acini. The case 3 showed dense or loose cribriform pattern, with marked cytological atypia, and frequent mitotic figures. Comedonecrosis was found in solid or dense cribriform glands in the case 2. Immunohistochemically, surrounding basal cells were highlighted using high-molecular-weight cytokeratin (34βE12 and CK5/6) and p63, while P504s was positive in the tumor cells. The tumor cells were also positive for AR and prostate markers (NKX3.1, PSA and PSAP), and negative for GATA3. The iIDC-P and acinar adenocarcinoma both showed weak PTEN expression and no ERG (nuclear) expression. In case 2 and 3, targeted sequencing revealed activated oncogenic driver mutations in MAPK and PI3K pathway genes (KRAS, MTOR and PTEN). In addition, pathogenic mutation in TP53 and FOXA1 mutation were found in the case 2 and 3, respectively. No case demonstrated TMPRSS2::ERG translocation. All cases were microsatellite stable and had lower tumor mutation burdens (range, 2.1-3.1 muts/Mb). The patients showed no biochemical recurrence or metastasis after follow-up of 16-91 months.Conclusions:iIDC-P is a special type of intraductal carcinoma of the prostate and differs from intraductal carcinoma within high-grade prostate cancer. iIDC-P has unique molecular characteristics and may represent as a molecularly unique in situ tumor of prostate cancer.

Gliomas are the most common central nervous system tumours; they are highly aggressive and have a poor prognosis. RGS16 belongs to the regulator of G-protein signalling (RGS) protein family, which plays an important role in promoting various cancers, such as breast cancer, pancreatic cancer, and colorectal cancer. Moreover, previous studies confirmed that let-7c-5p, a well-known microRNA, can act as a tumour suppressor to regulate the progression of various tumours by inhibiting the expression of its target genes. However, whether RGS16 can promote the progression of glioma and whether it is regulated by miR let-7c-5p are still unknown. Here, we confirmed that RGS16 is upregulated in glioma tissues and that high expression of RGS16 is associated with poor survival. Ectopic deletion of RGS16 significantly suppressed glioma cell proliferation and migration both in vitro and in vivo. Moreover, RGS16 was validated as a direct target gene of miR let-7c-5p. The overexpression of miR let-7c-5p obviously downregulated the expression of RGS16, and knocking down miR let-7c-5p had the opposite effect. Thus, we suggest that the suppression of RGS16 by miR let-7c-5p can promote glioma progression and may serve as a potential prognostic biomarker and therapeutic target in glioma.
Humans ; Phosphatidylinositol 3-Kinases/metabolism* ; Proto-Oncogene Proteins c-akt/metabolism* ; MicroRNAs/metabolism* ; Glioma/genetics* ; Genes, Tumor Suppressor ; Cell Proliferation ; Gene Expression Regulation, Neoplastic ; Cell Line, Tumor