Prostate cancer (PCa) ranks as the second most prevalent malignancy among men worldwide. Early diagnosis, personalized treatment, and prognosis prediction of PCa play a crucial role in improving patients' survival rates. The advancement of artificial intelligence (AI), particularly the utilization of deep learning (DL) algorithms, has brought about substantial progress in assisting the diagnosis, treatment, and prognosis prediction of PCa. The introduction of the foundation model has revolutionized the application of AI in medical treatment and facilitated its integration into clinical practice. This review emphasizes the clinical application of AI in PCa by discussing recent advancements from both pathological and imaging perspectives. Furthermore, it explores the current challenges faced by AI in clinical applications while also considering future developments, aiming to provide a valuable point of reference for the integration of AI and clinical applications.
Humans ; Prostatic Neoplasms/diagnosis* ; Male ; Artificial Intelligence ; Deep Learning ; Prognosis

Synthetic CT (sCT) generated from CBCT has proven effective in artifact reduction and CT number correction, facilitating precise radiation dose calculation. However, the quality of different regions in sCT images is severely imbalanced, with soft tissue region exhibiting notably inferior quality compared to others. To address this imbalance, we proposed a Multi-Task Attention Network (MuTA-Net) based on VGG-16, specifically focusing the enhancement of image quality in soft tissue region of sCT. First, we introduced a multi-task learning strategy that divides the sCT generation task into three sub-tasks: global image generation, soft tissue region generation and bone region segmentation. This approach ensured the quality of overall sCT image while enhancing the network's focus on feature extraction and generation for soft tissues region. The result of bone region segmentation task guided the fusion of sub-tasks results. Then, we designed an attention module to further optimize feature extraction capabilities of the network. Finally, by employing a results fusion module, the results of three sub-tasks were integrated, generating a high-quality sCT image. Experimental results on head and neck CBCT demonstrated that the sCT images generated by the proposed MuTA-Net exhibited a 12.52% reduction in mean absolute error in soft tissue region, compared to the best performance among the three comparative methods, including ResNet, U-Net, and U-Net++. It can be seen that MuTA-Net is suitable for high-quality sCT image generation and has potential application value in the field of CBCT guided adaptive radiation therapy.
Cone-Beam Computed Tomography/methods* ; Humans ; Image Processing, Computer-Assisted/methods* ; Artifacts ; Algorithms ; Bone and Bones/diagnostic imaging* ; Neural Networks, Computer

Objective To explore the objective facial appearance characteristics of patients with coronary heart disease(CHD).Methods From April 7,2019 to December 1,2022,313 patients with CHD were recruited from Dongzhimen Hospital,Beijing University of Chinese Medicine,Dongfang Hospital,Beijing University of Chinese Medicine,and the First Affiliated Hospital of Hunan University of Chinese Medicine,together with 293 healthy controls.Standardized facial images were obtained using the tongue-face diagnostic instrument.The face was divided into six regions:the forehead,left cheek,right cheek,nose,lips,and chin.Nine color parameters were extracted from each region,including red(R),green(G),blue(B),hue(H),saturation(S),value(V),lightness(L),red-green axis(a),and yellow-blue axis(b).Comparisons between groups were performed.Results Compared with the healthy group,in the forehead region,values of R,S,V,a,and b were higher in the coronary heart disease group,whereas B was lower(P<0.05);in the left cheek,nose,and chin regions,R,G,B,V,and L decreased,whereas S,a,and b increased(P<0.05);in the right cheek region,R,G,B,H,V,and L decreased,while S,a,and b increased(P<0.05);in the lips region,R,G,B,H,V,L,and a decreased,whereas S and b increased(P<0.05).Conclusion Compared with healthy individuals,patients with CHD present with a darker,more saturated facial complexion with reduced brightness,overall manifesting as"dark red complexion"and"dense but not bright color,"suggesting the pathogenesis of qi and blood circulation stagnation and internal blood stasis retention.The objective expression of facial features may have greater application value in syndrome differentiation and auxiliary diagnosis in traditional Chinese medicine.

Objective:To examine the prevalence of malnutrition and evaluate the impact of nutritional support on clinical outcomes in elderly patients diagnosed with gastric and colorectal cancer.Methods:A retrospective cohort study was conducted, analyzing elderly patients with gastrointestinal tumors who underwent surgical treatment in the general surgery department from January 2019 to June 2020.The Global Leadership Initiative on Malnutrition(GLIM)criteria were utilized to diagnose malnutrition, and the effects of malnutrition and nutritional support on clinical prognosis were investigated.Results:A total of 426 elderly hospitalized patients with gastric and colorectal tumors who underwent surgical treatment were included in this study.This cohort comprised 199 cases of gastric cancer and 227 cases of colorectal cancer, with ages ranging from 65 to 91 years(mean age: 72.05±5.99).According to the GLIM criteria, 43.7%(186/426)of the patients were diagnosed with malnutrition, of which 25.6%(109/426)were moderately malnourished and 18.1%(77/426)were severely malnourished.Among the gastric cancer patients, 73.4%(146/199)were identified as having nutritional risk, with 48.7%(97/199)being malnourished and 22.6%(45/199)experiencing severe malnutrition.In the colorectal cancer group, 63.9%(145/227)were at nutritional risk, 39.2%(89/227)were malnourished, and 14.1%(32/227)had severe malnutrition.Additionally, 60.3%(257/426)of the patients received nutritional support therapy: 25.4%(108/426)received parenteral nutrition(PN), 11.3%(48/426)received enteral nutrition(EN), 23.7%(101/426)received a combination of EN and PN, while 39.7%(169/426)did not receive any nutritional support.Regardless of the presence or degree of malnutrition, patients who received nutritional support had significantly shorter total hospital stays compared to those who did not receive nutritional support, and this difference was statistically significant( t=5.58, 3.69, 2.21, 3.03, all P<0.05). Conclusions:Providing nutritional support to malnourished patients can reduce the length of hospital stay and improve clinical outcomes.

Objective To assess the clinical value of prognostic nutritional index(PNI)in predicting the prognosis of patients with advanced liver cancer treated with transarterial chemoembolization(TACE)combined with ablation therapy.Methods A total of 112 patients with advanced liver cancer,who received TACE combined with ablation at the Lishui Municipal Central Hospital of China from January 2020 to January 2024,were enrolled in this study.The general data,survival status,and survival time were collected.The Youden index of PNI was calculated using the receiver operating characteristic(ROC)curve model,and the optimal cutoff value was determined.Based on the optimal cutoff value,the patients were divided into low-PNI group and high-PNI group.The progression-free survival(PFS)and overall survival(OS)time were compared between the two groups,and the independent risk factors affecting PFS and OS were analyzed.Results The Youden index for PNI was 0.43,and the optimal cutoff value of PNI was 43.95.The low-PNI group included 65 patients,and the high-PNI group included 47 patients.There were no statistically significant differences in the baseline data between the two groups.The median PFS and the median OS in the high-PNI group were 13.21 months(95％CI=4.37-22.03)and 40.80 months(95％CI=31.55-50.05)respectively,which were longer than 9.20 months(95％CI=6.58-11.82)and 21.37 months(95％CI=16.56-26.17)respectively in the low-PNI group,the differences were statistically significant(both P＜0.05).The 6-month,one-year and 2-year PFS in the high-PNI group was 56.95％,47.25％and 33.87％respectively,which were higher than 43.95％,32.56％and 16.31％respectively in the low-PNI group.The one-year,2-year and 3-year cumulative survival rates in the high-PNI group were 80.77％,66.66％and 39.40％respectively,which were higher than 63.79％,34.31％and 27.75％respectively in the low-PNI group.Multivariate regression analysis indicated that the number of nodules,metastasis and PNI significantly affected OS,and metastasis and PNI strikingly affected PFS.High PNI was a protective factor for both PFS and OS.Conclusion For patients with advanced liver cancer treated with TACE combined with ablation therapy,PNI is an effective indicator for predicting the prognosis.

Objective To evaluate the combination score of albumin-bilirubin index(ALBI)and alkaline phosphatase(ALP)in predicting the prognosis of patients with cirrhosis complicated by portal hypertension after receiving transjugular intrahepatic portosystemic shunt(TIPS).Methods A total of 61 patients with cirrhosis complicated by portal hypertension,who received TIPS treatment at the Lishui Municipal Central Hospital of China from January 2016 to June 2024,were retrospectively collected.According to the Youden index of ALBI and ALP,the optimal cut-off values were calculated,and the patients were divided into low ALBI-low ALP group(0-point group),high ALBI-high ALP group(2-point group),and high ALBI-low ALP or low ALBI-high ALP group(one-point group).The efficacy of ALBI-ALP score in predicting the prognosis of patients was evaluated,and the survival rate and median survival time were compared between each other among the three groups.The independent risk factors affecting the survival time of patients were analyzed.Results The maximum Youden indexes of ALBI and ALP were 0.31 and 0.34 respectively,and the optimal cut-off values were-1.56 and 108.50 respectively.There were statistically significant differences in MELD score,Child-Pugh classification,and alanine aminotransferase level between each other among the three groups(all P＜0.05).The area under the ROC curve(AUC)of ALBI-ALP score was 0.77(95％ CI:0.66-0.89,P=0.000 2),which was better than 0.52 of the MELD score(95％ CI:0.37-0.67,P=0.77)as well as better than 0.57 of the Child-Pugh classification(95％ CI:0.43-0.72,P=0.34).The total mortality of patients was 49.18％.The mortality in the 0-point group was 11.11％(2/18),which was significantly lower than 59.46％(22/37)in the one-point group as well as than 100％(6/6)in the 2-point group,and the differences were statistically significant(x2=18.20,P＜0.001).In the 0-point group,as a large number of patients were still alive at the end of the study,the median survival time was unable to be calculated.The median survival time in the one-point group was 38.00 months(95％ CI:23.01-52.99 months),which in the 2-point group was only 1.00 month(95％ CI=0.00-2.60 months),the difference was statistically significant(x2=33.08,P＜0.000 1).In the 0-point group,one-point group and 2-point group,the one-year survival rates were 100％,66％ and 17％respectively,the 2-year survival rates were 100％,64％ and 17％ respectively,and the 3-year survival rates were 90％,53％ and 0％ respectively.Cox multivariate regression analysis showed that the combination score of ALBI and ALP(HR=7.11,95％ CI:2.95-17.15)was an independent risk factor for the survival time of patients with cirrhosis complicated by portal hypertension after receiving TIPS.Conclusion The combination score of ALBI and ALP can effectively predict the prognosis of patients with cirrhosis complicated by portal hypertension after receiving TIPS,and this score is an independent risk factor affecting the survival time of patients.

Objective:To investigate the relationship between dynamic alterations in serum albumin (ALB) concentrations and clinical outcomes in hospitalized surgical patients, thus providing a basis for optimizing clinical management strategies.Methods:This study utilized data from a prospective observational cohort study on nutritional status among 7 122 elderly hospitalized patients across 34 tertiary hospitals in 18 Chinese cities. A total of 1 714 surgical patients hospitalized for 7-30 days with complete data were included. Standardized protocols were used to collect demographic data, clinical outcomes, and a range of laboratory results, including nutritional and hematological parameters. Heterogeneous effects of ALB on clinical outcomes were explored. Receiver operating characteristic (ROC) curves were used to determine cutoff values for infection-related complications. Correlation analyses and multiple linear regression models were used to identify independent predictors of the absolute change in ALB (?ALB).Results:Among the surgical patients, 69.7% (1 195/1 714) experienced a decline in ALB levels during their hospital stay, which was significantly associated with the occurrence of both infection- and non-infection-related complications. Simultaneously, a marked decrease in ALB was also significantly correlated with changes in nutritional and inflammatory status during hospitalization, worsening of gastrointestinal symptoms at discharge, and functional activity abnormalities (all P<0.05). ?ALB exhibited a close association with outcome variables such as infection-related complications. Based on the incidence of infection-related complications, a cutoff value for ALB was calculated, dividing patients into a high-risk group ( n=179) and a low-risk group ( n=1 535), and a statistically significant difference in the incidence of infection-related complications was found between these two groups ( P<0.05). Correlation analysis and multiple linear regression modeling revealed that female gender, a higher baseline ALB level, a poorer baseline inflammatory status, an exacerbation of inflammatory status, larger alterations in platelet-to-lymphocyte ratio, and the presence of infection-related complications were predictive factors for a decline in ALB levels among surgical patients during their hospital stay. Conclusions:?ALB serves as a critical indicator of the inflammatory-nutritional interplay, with its magnitude of decline effectively predicting clinical outcomes and nutritional status changes and guiding multidisciplinary interventions in surgical patients.

Micronutrients (MNs), including vitamins and trace elements, are essential for maintaining normal human metabolism and promoting postoperative recovery. Surgical procedures, especially those involving the digestive tract, may alter the structure and function of the gastrointestinal tract, thereby affecting the digestion and absorption of MNs and leading to deficiencies in various MNs. Perioperative MN intervention is an important strategy for preventing and treating postoperative malnutrition in surgical patients. This article reviews recent domestic and international research, summarizing and analyzing the current status of perioperative MN deficiencies in surgical patients, specific deficiency manifestations after different surgeries, impact of MN supplementation on postoperative recovery, and nutritional management measures. The aim is to provide more precise and scientific nutritional intervention strategies for clinical practice, promoting comprehensive recovery of patients.

Metabolic and bariatric surgery (MBS) is an effective treatment for obesity as it can dramatically reduce body weight and improve obesity-related comorbidities. However, postoperative changes from MBS can impair gastrointestinal structure and function, leading to micronutrient (MN) deficiencies and potentially severe organ dysfunction. MNs, including vitamins and trace elements, are crucial for human metabolism and can influence disease progression and outcomes. By reviewing the domestic and international literature in the past 5 years, we summarized and analyzed MN changles and nutritional management after various MBS procedures, aiming to further inform clinical practice.

Gut microorganisms are central to the intestinal microecosystem, regulating digestive functions and related to immune regulation, metabolic disorders, and nervous system development. Recent studies reveal the multifaceted interactions between micronutrients (MNs) and gut microbiota, where MNs provide essential nutrients to the intestinal flora and influence the production and absorption of various MNs through direct or indirect pathways. This article reviews the recent advances in the effects of water-soluble vitamins, fat-soluble vitamins, and micronutrients on the intestinal microecology, aiming to provide new ideas for future research.