This paper aims to propose a noninvasive radiotherapy patient positioning system based on structured light surface imaging, and evaluate its clinical feasibility. First, structured light sensors were used to obtain the panoramic point clouds during radiotherapy positioning in real time. The fusion of different point clouds and coordinate transformation were realized based on optical calibration and pose estimation, and the body surface was segmented referring to the preset region of interest (ROI). Then, the global-local registration of cross-source point cloud was achieved based on algorithms such as random sample consensus (RANSAC) and iterative closest point (ICP), to calculate 6 degrees of freedom (DoF) positioning deviation and provide guidance for the correction of couch shifts. The evaluation of the system was carried out based on a rigid adult phantom and volunteers' body, which included positioning error, correlation analysis, and receiver operating characteristic (ROC) analysis. Using Cone Beam CT (CBCT) as the gold standard, the maximum translation and rotation errors of this system were (1.5 ± 0.9) mm along Vrt direction (chest) and (0.7 ± 0.3) ° along Pitch direction (head and neck). The Pearson correlation coefficient between results of system outputs and CBCT verification distributed in an interval of [0.80, 0.84]. Results of ROC analysis showed that the translational and rotational AUC values were 0.82 and 0.85, respectively. In the 4D freedom accuracy test on the human body of volunteers, the maximum translation and rotation errors were (2.6 ± 1.1) mm (Vrt direction, chest and abdomen) and (0.8 ± 0.4)° (Rtn direction, chest and abdomen) respectively. In summary, the positioning system based on structured light body surface imaging proposed in this article can ensure positioning accuracy without surface markers and additional doses, and is feasible for clinical application.
Humans ; Patient Positioning/methods* ; Phantoms, Imaging ; Cone-Beam Computed Tomography ; Algorithms ; Radiotherapy, Image-Guided/methods* ; Radiotherapy Planning, Computer-Assisted/methods*

Objective:To investigate the uptake patterns of 18F-fluorodeoxy glucose ( 18F-FDG) in the endometrium using positron emission tomography (PET) imaging and to differentiate these from stage IA endometrial cancer. Methods:From September 2022 to April 2024, a prospective inclusion of 354 women without gynecological diseases and no hormone usage who underwent 18F-FDG PET-CT examinations at the affiliated hospital of Qingdao University were set as the physiological group, while a group containing 42 cases of Stage IA endometrial carcinoma was also set. The physiological group was divided into five groups based on the menstrual cycle: menstrual period, proliferative phase, ovulatory phase, secretory phase, and menopausal phase. The images were analyzed using visual and quantitative measurements; quantitative analysis indicators were standardized uptake value maximum (SUVmax) and the region of interest/liver ratio (R/L value). Receiver operating characteristic (ROCs) curve was used to determine the optimal cutoff values for SUVmax and R/L value. A clinical model was established using binary logistic regression, and ROC curves were drawn to evaluate the predictive performance of the model. Results:The uptake of 18F-FDG in the endometrium exhibited cyclical variations throughout different physiological phases, with higher uptakes observed during the menstrual and ovulation phases (SUVmax values of 6.66±3.26 and 3.89±1.21, respectively), which are significantly higher than those in the proliferative phase [median SUVmax of 2.54 (2.02, 3.47)], secretory phase (SUVmax of 2.55±0.86), and menopausal phase [SUVmax median of 2.04 (1.69, 2.29)]. During the menstrual and ovulation phases, the radiotracer accumulation patterns were triangular in 105 cases, oval in 32 cases, and round-like in 2 cases. All 42 cases of endometrial cancer showed 18F-FDG uptake, with radiotracer accumulation patterns being round-like in 17 cases, oval in 10 cases, triangular in 9 cases, and irregular in 6 cases. There were statistically significant differences in the shapes of radiotracer concentration between the menstrual, ovulatory periods, and endometrial carcinoma (both P＜0.001). The SUVmax and R/L values in menstrual period and ovulatory period were significantly lower than that in endometrial carcinoma group ( P＜0.001). During the menstrual phase, the optimal cutoff values for SUVmax and R/L in distinguishing between endometrial and endometrial cancer were 12.59 and 3.81, respectively, with corresponding AUCs of 0.885 and 0.842. After incorporating endometrial uptake morphology into the model, the AUCs was improved to 0.969 and 0.948, respectively. During the ovulatory phase, the optimal cutoff values for SUVmax and R/L were 5.96 and 2.85, respectively, with AUCs of 0.984 and 0.968. After integrating endometrial uptake morphology into the model, the AUCs were increased to 0.999 and 0.998, respectively. Conclusions:The 18F-FDG PET imaging of the endometrium shows higher uptake during the menstrual and ovulatory periods, primarily triangular in shape; endometrial carcinoma uptake is significantly higher than the physiological uptake during the menstrual and ovulatory periods, mainly in circular, oval, and irregular shapes. When SUVmax≥5.96, R/L≥2.85, combined with the physiological cycle of the subjects and the morphological characteristics of the radiotracer concentration, it is possible to effectively differentiate between physiological uptake and Stage IA endometrial carcinoma.

A 13-year-old boy was admitted to the hospital due to 1 month after trauma in a traffic accident on September 29，2017. After admission，due to a large amount of pleural effusion through the chest tube，thoracoscopic exploration and fiberboard dissection were performed，and the postoperative pleural effusion was not significantly reduced. The creatinine of pleural effusion was 913 μmol/L，CT showed that left hydronephrosis and perirenal encapsulated effusion were closely related to the ureter，so ureteral injury and urinothorax were considered. Retrograde ureterography revealed a defect of left ureter，approximately 6 cm in length，and left nephrectomy + left kidney rupture repair + renal autotransplantation was performed. 7 years later，the patient recovered well and the renal blood supply was good，no left hydronephrosis was found by MRU. Early diagnosis of ureteral injury is challenging，especially when accompanied by urinothorax. When life is stable，early diagnosis and treatment can reduce the loss of renal function after combined trauma. Renal autotransplantation is safe and effective for the treatment of long segmental ureteral defects.

Integrin is a kind of transmembrane glycoprotein, which is highly expressed in tumor neovascular endothelial cells and various tumor cells, but lowly or negatively expressed in normal tissues. Integrin-targeted diagnostic or therapeutic radiopharmaceuticals can non-invasively display tumor characteristics in vivo, evaluate angiogenesis and perform targeted radiotherapy for tumors, which have great clinical application value. This article reviews the research progress of radiopharmaceuticals targeting integrins in tumor diagnosis and treatment.

Objective:To explore the value of a model combining 18F-FDG PET/CT radiomics and clinical factors in prediction of lymphovascular invasion (LVI) in rectal cancer. Methods:This retrospective cohort study was conducted on 120 patients (86 males and 34 females; age (62.2±11.6) years) with rectal adenocarcinoma from the Affiliated Hospital of Qingdao University between January 2017 and November 2023. Patients were divided into a training set ( n=96) and testing set ( n=24) at the ratio of 8∶2 using simple random sampling without replacement with a fixed random seed. An external validation cohort consisted of 31 patients (17 males and 14 females; age (61.2±8.2) years) with rectal adenocarcinoma from Affiliated Hospital of Jining Medical University and Linyi Cancer Hospital between January 2020 and June 2024 was obtained. PET/CT-derived features were selected to build radiomics model. The χ2 test and logistic regression were used to identify clinical predictors of LVI for clinical modeling. A combined radiomics-clinical nomogram was developed, after that ROC analysis was conducted to evaluate the predictive performance. Results:Significant differences were found between LVI-positive ( n=40) and LVI-negative ( n=56) subgroups in body weight, carbohydrate antigen (CA) 19-9, metabolic tumor volume (MTV), and peak of SUV (SUV peak) in the training set ( χ2 values: 4.01-13.64, all P<0.05). Binary logistic regression identified body weight (odds ratio ( OR)=0.320, 95% CI: 0.095-0.906, P=0.033), CA19-9 ( OR=0.402, 95% CI: 0.120-0.917, P=0.033), and MTV ( OR=0.192, 95% CI: 0.090-0.575, P=0.002) as independent predictors of LVI, forming the clinical model. Thirteen PET features and fifteen CT features were selected and a radiomics model was built. ROC curve analysis showed that AUCs for the clinical model in the training, testing, and external validation sets were 0.765, 0.567, and 0.777, respectively; AUCs for the radiomics model were 0.925, 0.881, and 0.823; AUCs for the joint model were 0.938, 0.889, and 0.841. Conclusion:The joint model of 18F-FDG PET/CT radiomics and clinical factors can effectively predict LVI in rectal cancer, guiding preoperative therapy and surgical planning.

Myocardial infarction is a cardiovascular disease (CVD) with high morbidity and mortality, which can trigger a cascade of cardiac pathophysiological changes, including fibrosis, inflammation, ischemia-reperfusion injury (IRI), and ventricular remodeling, ultimately leading to heart failure (HF). While conventional pharmacological treatments and clinical reperfusion therapy may enhance short-term prognoses and emergency survival rates, both approaches have limitations and adverse effects. Natural products (NPs) are extensively utilized as therapeutics globally, with some demonstrating potentially favorable therapeutic effects in preclinical and clinical pharmacological studies, positioning them as potential alternatives to modern drugs. This review comprehensively elucidates the pathophysiological mechanisms during myocardial infarction and summarizes the mechanisms by which NPs exert cardiac beneficial effects. These include classical mechanisms such as inhibition of inflammation and oxidative stress, alleviation of cardiomyocyte death, attenuation of cardiac fibrosis, improvement of angiogenesis, and emerging mechanisms such as cardiac metabolic regulation and histone modification. Furthermore, the review emphasizes the modulation by NPs of novel targets or signaling pathways in classical mechanisms, including other forms of regulated cell death (RCD), endothelial-mesenchymal transition, non-coding ribonucleic acids (ncRNAs) cascade, and endothelial progenitor cell (EPC) function. Additionally, NPs influencing a particular mechanism are categorized based on their chemical structure, and their relevance is discussed. Finally, the current limitations and prospects of NPs therapy are considered, highlighting their potential for use in myocardial infarction management and identifying issues that require urgent attention.
Humans ; Myocardial Infarction/genetics* ; Biological Products/therapeutic use* ; Animals ; Oxidative Stress/drug effects* ; Signal Transduction/drug effects*

Integrin is a kind of transmembrane glycoprotein, which is highly expressed in tumor neovascular endothelial cells and various tumor cells, but lowly or negatively expressed in normal tissues. Integrin-targeted diagnostic or therapeutic radiopharmaceuticals can non-invasively display tumor characteristics in vivo, evaluate angiogenesis and perform targeted radiotherapy for tumors, which have great clinical application value. This article reviews the research progress of radiopharmaceuticals targeting integrins in tumor diagnosis and treatment.

Objective:To explore the value of a model combining 18F-FDG PET/CT radiomics and clinical factors in prediction of lymphovascular invasion (LVI) in rectal cancer. Methods:This retrospective cohort study was conducted on 120 patients (86 males and 34 females; age (62.2±11.6) years) with rectal adenocarcinoma from the Affiliated Hospital of Qingdao University between January 2017 and November 2023. Patients were divided into a training set ( n=96) and testing set ( n=24) at the ratio of 8∶2 using simple random sampling without replacement with a fixed random seed. An external validation cohort consisted of 31 patients (17 males and 14 females; age (61.2±8.2) years) with rectal adenocarcinoma from Affiliated Hospital of Jining Medical University and Linyi Cancer Hospital between January 2020 and June 2024 was obtained. PET/CT-derived features were selected to build radiomics model. The χ2 test and logistic regression were used to identify clinical predictors of LVI for clinical modeling. A combined radiomics-clinical nomogram was developed, after that ROC analysis was conducted to evaluate the predictive performance. Results:Significant differences were found between LVI-positive ( n=40) and LVI-negative ( n=56) subgroups in body weight, carbohydrate antigen (CA) 19-9, metabolic tumor volume (MTV), and peak of SUV (SUV peak) in the training set ( χ2 values: 4.01-13.64, all P<0.05). Binary logistic regression identified body weight (odds ratio ( OR)=0.320, 95% CI: 0.095-0.906, P=0.033), CA19-9 ( OR=0.402, 95% CI: 0.120-0.917, P=0.033), and MTV ( OR=0.192, 95% CI: 0.090-0.575, P=0.002) as independent predictors of LVI, forming the clinical model. Thirteen PET features and fifteen CT features were selected and a radiomics model was built. ROC curve analysis showed that AUCs for the clinical model in the training, testing, and external validation sets were 0.765, 0.567, and 0.777, respectively; AUCs for the radiomics model were 0.925, 0.881, and 0.823; AUCs for the joint model were 0.938, 0.889, and 0.841. Conclusion:The joint model of 18F-FDG PET/CT radiomics and clinical factors can effectively predict LVI in rectal cancer, guiding preoperative therapy and surgical planning.

A 13-year-old boy was admitted to the hospital due to 1 month after trauma in a traffic accident on September 29，2017. After admission，due to a large amount of pleural effusion through the chest tube，thoracoscopic exploration and fiberboard dissection were performed，and the postoperative pleural effusion was not significantly reduced. The creatinine of pleural effusion was 913 μmol/L，CT showed that left hydronephrosis and perirenal encapsulated effusion were closely related to the ureter，so ureteral injury and urinothorax were considered. Retrograde ureterography revealed a defect of left ureter，approximately 6 cm in length，and left nephrectomy + left kidney rupture repair + renal autotransplantation was performed. 7 years later，the patient recovered well and the renal blood supply was good，no left hydronephrosis was found by MRU. Early diagnosis of ureteral injury is challenging，especially when accompanied by urinothorax. When life is stable，early diagnosis and treatment can reduce the loss of renal function after combined trauma. Renal autotransplantation is safe and effective for the treatment of long segmental ureteral defects.

Objective:To investigate the uptake patterns of 18F-fluorodeoxy glucose ( 18F-FDG) in the endometrium using positron emission tomography (PET) imaging and to differentiate these from stage IA endometrial cancer. Methods:From September 2022 to April 2024, a prospective inclusion of 354 women without gynecological diseases and no hormone usage who underwent 18F-FDG PET-CT examinations at the affiliated hospital of Qingdao University were set as the physiological group, while a group containing 42 cases of Stage IA endometrial carcinoma was also set. The physiological group was divided into five groups based on the menstrual cycle: menstrual period, proliferative phase, ovulatory phase, secretory phase, and menopausal phase. The images were analyzed using visual and quantitative measurements; quantitative analysis indicators were standardized uptake value maximum (SUVmax) and the region of interest/liver ratio (R/L value). Receiver operating characteristic (ROCs) curve was used to determine the optimal cutoff values for SUVmax and R/L value. A clinical model was established using binary logistic regression, and ROC curves were drawn to evaluate the predictive performance of the model. Results:The uptake of 18F-FDG in the endometrium exhibited cyclical variations throughout different physiological phases, with higher uptakes observed during the menstrual and ovulation phases (SUVmax values of 6.66±3.26 and 3.89±1.21, respectively), which are significantly higher than those in the proliferative phase [median SUVmax of 2.54 (2.02, 3.47)], secretory phase (SUVmax of 2.55±0.86), and menopausal phase [SUVmax median of 2.04 (1.69, 2.29)]. During the menstrual and ovulation phases, the radiotracer accumulation patterns were triangular in 105 cases, oval in 32 cases, and round-like in 2 cases. All 42 cases of endometrial cancer showed 18F-FDG uptake, with radiotracer accumulation patterns being round-like in 17 cases, oval in 10 cases, triangular in 9 cases, and irregular in 6 cases. There were statistically significant differences in the shapes of radiotracer concentration between the menstrual, ovulatory periods, and endometrial carcinoma (both P＜0.001). The SUVmax and R/L values in menstrual period and ovulatory period were significantly lower than that in endometrial carcinoma group ( P＜0.001). During the menstrual phase, the optimal cutoff values for SUVmax and R/L in distinguishing between endometrial and endometrial cancer were 12.59 and 3.81, respectively, with corresponding AUCs of 0.885 and 0.842. After incorporating endometrial uptake morphology into the model, the AUCs was improved to 0.969 and 0.948, respectively. During the ovulatory phase, the optimal cutoff values for SUVmax and R/L were 5.96 and 2.85, respectively, with AUCs of 0.984 and 0.968. After integrating endometrial uptake morphology into the model, the AUCs were increased to 0.999 and 0.998, respectively. Conclusions:The 18F-FDG PET imaging of the endometrium shows higher uptake during the menstrual and ovulatory periods, primarily triangular in shape; endometrial carcinoma uptake is significantly higher than the physiological uptake during the menstrual and ovulatory periods, mainly in circular, oval, and irregular shapes. When SUVmax≥5.96, R/L≥2.85, combined with the physiological cycle of the subjects and the morphological characteristics of the radiotracer concentration, it is possible to effectively differentiate between physiological uptake and Stage IA endometrial carcinoma.