Medical equipment, as an important indicator of smart hospital evaluation, plays a vital role in hospital operations. To ensure the safe and efficient operation of medical equipment, a reasonable performance evaluation system is indispensable. This study introduces a platform based on Internet of Things (IoT) technology that connects medical devices and collects data, achieving standardized and structured data processing, and supporting online operational supervision. Through the Delphi method, a performance evaluation system for large medical equipment is constructed, including 4 primary indicators and 22 secondary indicators. DICOM data acquisition devices are used to achieve functions such as efficiency analysis, benefit analysis, usage evaluation, and decision-making support for medical equipment. The study is still in its early stages, and in the future, it is expected to integrate more types of equipment, achieve rational resource allocation, and significantly impact decision-making for the development of public hospitals.
Internet of Things ; Delphi Technique

OBJECTIVE: Evaluate the clinical application effect of low-field infant MRI. METHODS: Using literature review, expert consultation, and two rounds of Delphi to determine the evaluation index system. Then retrospectively analyze and compare the data of low-field infant MRI and high-field MRI from January 2023 to December 2024. RESULTS: There is a certain gap between low-field infant MRI and high-field MRI in terms of signal-to-noise ratio, image uniformity, software system reliability, scanning time, user interface friendliness and image result consistency. However, there was no difference in terms of spatial resolution and image quality. The noise, hardware system reliability, mean time between failure and the rate of examination completed without sedation are better than that of high-field MRI. CONCLUSION Low-field infant MRI meets needs of clinical diagnostic and has stable performance. It can be used as a routine screening tool for brain diseases near the bed.
Magnetic Resonance Imaging/methods* ; Humans ; Infant ; Retrospective Studies ; Signal-To-Noise Ratio ; Reproducibility of Results ; Brain Diseases/diagnostic imaging* ; Brain/diagnostic imaging* ; Software

The early prediction of axillary lymph node metastasis is crucial to the treatment and prognosis of breast cancer patients. Radiomics, as a non-invasive, convenient and efficient emerging technology, can achieve deep exploration and processing of imaging images and plays an increasingly important role in the evaluation of benign and malignant breast tumors, prediction of lymph node metastasis and other aspects. This article reviews the studies on the prediction of axillary lymph node metastasis of breast cancer based on radiomics of mammography, ultrasound and magnetic resonance imaging.

Objective To predict the lymphovascular invasion(LVI)status of breast cancer patients based on digital breast tomo-synthesis(DBT)intratumoral and peritumoral radiomics nomogram.Methods A total of 192 breast cancer patients from 2 institu-tions were retrospectively selected,in which institution 1 was used for train(n=113)and test(n=49),while institution 2 was used for external validation(n=30).Radiomics features were extracted and selected based on intratumoral and peritumoral 1 mm regions from DBT images.Different machine learning algorithms were used to construct intratumoral,peritumoral,and combined intratumoral and peritumoral models,respectively.Patient clinical data were analyzed by both univariate and multivariate logistic regression analy-ses to identify independent risk factors for the clinical imaging model.The performance of the models was evaluated using the receiver operating characteristic(ROC)curve.The radiomics features with the optimal diagnostic performance and the selected clinical imaging features were combined to construct a comprehensive clinical-radiomics model,and a nomogram was drawn.Results The combined intratumoral and peritumoral model was the optimal radiomics model.Maximum tumor diameter[odds ratio(OR)=1.486,P=0.014],suspicious malignant calcifications(OR=2.898,P=0.015),and axillary lymph node(ALN)metastasis(OR=3.615,P<0.001)were independent risk factors for LVI positive.Furthermore,the area under the curve(AUC)of the comprehensive clinical-radiomics model in the training set,test set and external valida-tion set was 0.889,0.916,and 0.862,respectively,which was higher than those of the combined intratumoral and peritumoral model(0.858,0.849,0.844)and the clinical imaging model(0.743,0.759,0.732).Conclusion The predictive nomogram,derived from both radiomics and clinical imaging features,is relatively accurate in identifying future LVI occurrence in breast cancer,demonstra-ting its potential as an assistive tool for clinicians to devise individualized treatment regimes.

Objective: To investigate the effects of different doses of X ⁃rays irradiation combined with allogeneic lymphocyte infusion on the establishment of aplastic anemia in mice. Methods: Forty BALB/c mice were randomly divided into four groups : the 3 Gy group (n = 9) , the 4 Gy group (n = 9) , the 5 Gy group (n = 10) , and the con⁃trol group (n = 12) . In the 3 Gy , 4 Gy , and 5 Gy groups , the experimental mice were exposed to corresponding do⁃ses of X ⁃ray and then intravenously infused with 0. 2 mL mixed suspension of the thymus and spleen cells from DBA/2 mice , at a concentration of 1 × 107 cells/mL , within 4 hours after irradiation. The control group did not un⁃dergo X ⁃ray irradiation and infused with an equivalent volume of physiological saline instead. Blood samples were collected from the orbital venous plexus of BALB/c mice and analyzed using an animal automated hematology analy⁃zer to measure peripheral blood parameters , including red blood cells ( RBC) , white blood cells ( WBC) , and platelets (PLT) . The general condition of mice was monitored daily , and survival rates were recorded for each group. At the experimental endpoint , the tibias were harvested for hematoxylin and eosin (HE) staining , while the femurs were used to prepare bone marrow smears for morphological examination. For the 5 Gy group , T ⁃cell subsets(ELISA) at the endpoint. Results : In the 3 Gy group , pancytopenia was observed , but platelet recovery occured rapidly , returning to normal levels by day 17 post⁃modeling. No deaths occurred during the observation period. At myeloid⁃to⁃erythroid (M/E) ratio , and no significant morphological abnormalities were noted in cells at any devel⁃with hematopoietic cells. In the 4 Gy group , pancytopenia persisted throughout the observation period. The survival rate was 90% . Endpoint analysis showed hypocellular marrow by morphological examination. HE staining indicated minimal fatty infiltration in the bone marrow tissue. In the 5 Gy group , pancytopenia was observed , though erythro⁃cyte counts returned to normal levels by day 24. The survival rate during the observation period was 50% . Endoint analysis revealed vacuolization of marrow particles and reduced hematopoietic cells with predominantly non⁃hematopoietic cells in bone marrow morphology. HE staining demonstrated severe fatty infiltration in the bone mar⁃row tissue , with scarcity of immature cells and hematopoietic precursor cells. Flow cytometry analysis showed a de⁃creased proportion of CD4 + T cells (% ) and an increased proportion of CD8 + T cells (% ) . ELISA confirmed elevated secretion of negative hematopoietic regulators : interferon⁃gamma ( IFN⁃γ) and tumor necrosis factor⁃alpha (TNF⁃α ) . Conclusion Combined administration of varying radiation doses with allogeneic lymphocyte infusion consistently induced peripheral blood cytopenia in mice , characterized by reductions in RBC , WBC , and PLT counts. Integrated analysis of bone marrow morphology , histopathological assessment via HE staining , and immuno logical parameters confirmed that a mouse model of aplastic anemia can be successfully established using 5 Gy X ⁃ ray irradiation coupled with infusion of 2 × 106 allogeneic lymphocytes.

Objective To predict the lymphovascular invasion(LVI)status of breast cancer patients based on digital breast tomo-synthesis(DBT)intratumoral and peritumoral radiomics nomogram.Methods A total of 192 breast cancer patients from 2 institu-tions were retrospectively selected,in which institution 1 was used for train(n=113)and test(n=49),while institution 2 was used for external validation(n=30).Radiomics features were extracted and selected based on intratumoral and peritumoral 1 mm regions from DBT images.Different machine learning algorithms were used to construct intratumoral,peritumoral,and combined intratumoral and peritumoral models,respectively.Patient clinical data were analyzed by both univariate and multivariate logistic regression analy-ses to identify independent risk factors for the clinical imaging model.The performance of the models was evaluated using the receiver operating characteristic(ROC)curve.The radiomics features with the optimal diagnostic performance and the selected clinical imaging features were combined to construct a comprehensive clinical-radiomics model,and a nomogram was drawn.Results The combined intratumoral and peritumoral model was the optimal radiomics model.Maximum tumor diameter[odds ratio(OR)=1.486,P=0.014],suspicious malignant calcifications(OR=2.898,P=0.015),and axillary lymph node(ALN)metastasis(OR=3.615,P<0.001)were independent risk factors for LVI positive.Furthermore,the area under the curve(AUC)of the comprehensive clinical-radiomics model in the training set,test set and external valida-tion set was 0.889,0.916,and 0.862,respectively,which was higher than those of the combined intratumoral and peritumoral model(0.858,0.849,0.844)and the clinical imaging model(0.743,0.759,0.732).Conclusion The predictive nomogram,derived from both radiomics and clinical imaging features,is relatively accurate in identifying future LVI occurrence in breast cancer,demonstra-ting its potential as an assistive tool for clinicians to devise individualized treatment regimes.

The early prediction of axillary lymph node metastasis is crucial to the treatment and prognosis of breast cancer patients. Radiomics, as a non-invasive, convenient and efficient emerging technology, can achieve deep exploration and processing of imaging images and plays an increasingly important role in the evaluation of benign and malignant breast tumors, prediction of lymph node metastasis and other aspects. This article reviews the studies on the prediction of axillary lymph node metastasis of breast cancer based on radiomics of mammography, ultrasound and magnetic resonance imaging.

Objective:To explore the differences in the clinical application of different brands of infrared ear thermometers in pediatric patients,and to guide the rational use of infrared ear thermometers.Methods:A total of 164 inpatients and outpatients who received treatment in the Children's Hospital of Zhejiang University School of Medicine from May 2023 to July 2023 were randomly selected,and three different brands of ear thermometers were used to measure the ear temperature of the children in the same measurement method.The differences in temperature and time measured by different brands of ear thermometers in children of different ages were compared.Results:The temperature and time measurements of the three ear thermometers were compared,the difference was statistically significant(F=5.007,264.988,P<0.05).The temperature of children aged≤3 months was measured by the three ear thermometers,and the difference was statistically significant(F=3.868,P<0.05).there was no difference in children aged over 3 months.Conclusion:For children of different ages,medical institutions can make choices based on the comprehensive consideration of the use cost,the speed of measurement time and other factors.For children aged over 3 months,choose product B with lower cost and faster measurement time,for children aged 0-3 months,it is recommended to choose product A with more accurate temperature measurement values.

Objective To establish an optimal limiting dose for dose limiting rings placed in the anterior and posterior regions of the neck for reducing head and neck lymphedema under intensity-modulated radiation therapy(IMRT)for early nasopharyngeal carcinoma(NPC)from a dosimetric perspective.Method Fifteen newly diagnosed early-stage nasopharyngeal carcinoma patients who underwent CT localization for radiotherapy at the Cancer Hospital of Guangzhou Medical University from January to September 2022 were included in the study.Each case was designed with five sets of radiotherapy plans.Plan A consisted of conventional unlimited-field plans,while Plans B-E consisted of limited-field plans with dose constraints set at 20,18,16,and 14 Gy,respectively,with the remaining parameters consistent with Plan A.The impact on target coverage and organ-at-risk constraints was evaluated through variance analysis and pairwise multiple comparisons using a randomized block design to determine the optimal dose limits.Results The gradient of 16Gy was determined as the optimal dose limiting cutoff point for achieving the balance between target coverage and organ limiting dose.Compared with the conventional plan,The plans with the placement of a cervical anterior and posterior dose limiting ring(16Gy)did not change the target dose coverage(P>0.05),but only yielded a slight change in the homogeneity index(P<0.05).It did not cause any changes of the dosage in the inner ear,mandible,and brainstem(all P>0.05),but lead to statisti-cally significant reductions in the oral cavity,throat,and thyroid(all P<0.05).It caused a slight increase of the dose in the parotid gland and spinal cord(both P<0.05),but the increased dose was anyhow within the tolerance range.Conclusion The dosimetric investigation determines an optimal dose limit cutoff point for the cervical ante-rior and posterior dose limiting rings.It is expected to provide a design method for IMRT plans to reduce head and neck lymphedema after radiotherapy for early NPC.

Objective:To analyze risk factors of medical adhesive-related skin injury (MARSI) at the site of peripherally inserted central catheters (PICC) in patients with tumor palliative care.Methods:A total of 315 patients who underwent tumor palliative care in the People's Hospital of Guangxi Zhuang Autonomous Region from June 2019 to June 2020 were selected as the research objects by the convenient sampling method, and they were divided into the occurrence group and the non-occurrence group according to whether they had MARSI. The differences of general and clinical data between the two groups were compared. Logistic regression analysis was used to analyze the risk factors of MARSI.Results:Among 315 tumor palliative care patients, 100 cases (31.75%) had MARSI at PICC catheterization site. Compared with the non-occurrence group, the occurrence group showed an increase in the proportion of PICC puncture site on the medial side of the biceps brachii, PICC catheterization frequency greater than or equal to 2 times, large angle removal of the dressing, semi permeable dressing type, dressing replacement frequency of 2 times per week and delayed maintenance of PICC catheters, and the differences were statistically significant ( P<0.05). Logistic regression analysis showed that PICC puncture site on the medial side of the biceps brachii, PICC catheterization frequency greater than or equal to 2 times, large angle removal of the dressing, semi permeable dressing type, dressing replacement frequency of 2 times per week and delayed maintenance of PICC catheters were all risk factors for MARSI at the PICC catheterization site in tumor palliative treatment patients ( P<0.05) . Conclusions:There are many risk factors for MARSI at the PICC catheter site in patients undergoing tumor palliative care and targeted preventive measures need to be taken in clinical practice to reduce MARSI.