Dear Editor, Prostate cancer （PCa） is the most frequently diagnosed male cancer in Western countries, and the number of PCa patients is also rapidly increasing in ]apan.1,2 Simultaneously, androgen deprivation ther...Dear Editor, Prostate cancer （PCa） is the most frequently diagnosed male cancer in Western countries, and the number of PCa patients is also rapidly increasing in ]apan.1,2 Simultaneously, androgen deprivation therapy （ADT） has also been increasingly used in PCa patients in recent years2-5 However, the long-term use of ADT is associated with a variety of pivotal adverse events, including diabetes, anemia, osteoporosis, serum lipid profile changes, and cardiovascular disease （CVD）.1,2 Higher low-density lipoprotein cholesterol （LDL-C） and/or lower high-density lipoprotein cholesterol （HDL-C） are well-established risk factors for CVD, and control of their levels has been an important goal in the treatment and prevention of CVD.6,7 Recently, another alternative parameter, the LDL-C to HDL-C （L/H） ratio, has been reported to be strongly associated with CVD and is thought to be a better predictor of future CVD than LDL-C alone. Closely monitoring serum lipid profile, including the L/H ratio changes affected by ADT, is a key to preventing CVD in PCa patients. Moreover, we previously suggested that a higher L/H ratio might have an impact on the development of arterial stiffness after ADT administration,r Although some cutoff points of the L/H ratio have been reported in clinical use, it has been suggested that thrombosis can occur when the L/H ratio increases to around 2.5 or more in East Asian populations.6 The aim of the present study was to investigate the changes in serum lipid profile and to identify the clinical factors associated with an increased L/H ratio in PCa patients who received ADT.展开更多
AIM: To investigate the relationship between clinicopathological features and bone turnover markers in castration-resistant prostate cancer(CRPC) patients treated with docetaxel.METHODS: Thirty-three patients were enr...AIM: To investigate the relationship between clinicopathological features and bone turnover markers in castration-resistant prostate cancer(CRPC) patients treated with docetaxel.METHODS: Thirty-three patients were enrolled in this study. Serum levels of carboxyterminal cross-linked telopeptide of type 1 collagen generated by metalloproteinases(1CTP) and alkaline phosphatase(ALP) were measured at the start of docetaxel chemotherapy. We examined the relationship between clinicopathological features and serum levels of 1CTP and ALP levels in CRPC patients treated with docetaxel.RESULTS: For the total patient group, the mean ± standard deviation(SD) values for docetaxel chemotherapy dose, dose intensity, dosage interval, and num-ber of cycles were 59.3 ± 10.6 mg/m2, 13.9 ± 5.2 mg/m2 per week, 4.7 ± 1.2 wk, and 11.2 ± 7.4, respectively. Fourteen patients died from prostate cancer. Patients were divided into two groups according to mean + SD of serum 1CTP(8.2 ng/m L) and ALP(538.2 IU/L) levels at the start of docetaxel chemotherapy. Patients with lower levels of serum 1CTP and ALP had significantly better survivals than those with higher serum levels(P < 0.05).CONCLUSION: Serum levels of 1CTP and ALP are predictors of survival in patients with CRPC who are treated with docetaxel.展开更多
Background:With the rising incidence of prostate cancer(PCa),there is a global demand for assistive tools that aid in the diagnosis of high-grade PCa.This study aimed to develop a diagnostic support system for high-gr...Background:With the rising incidence of prostate cancer(PCa),there is a global demand for assistive tools that aid in the diagnosis of high-grade PCa.This study aimed to develop a diagnostic support system for high-grade PCa using innovative magnetic resonance imaging(MRI)sequences in conjunction with artificial intelligence(AI).Materials and methods:We examined image sequences of 254 patients with PCa obtained from diffusion-weighted and T2-weighted imaging,using novel MRI sequences before prostatectomy,to elucidate the characteristics of the 3-dimensional(3D)image sequences.The presence of PCa was determined based on the final diagnosis derived from pathological results after prostatectomy.A 3D deep convolutional neural network(3DCNN)was used as the AI for image recognition.Data augmentation was conducted to enhance the image dataset.High-grade PCa was defined as Gleason grade group 4 or higher.Results:We developed a learning system using a 3DCNN as a diagnostic support system for high-grade PCa.The sensitivity and area under the curve values were 85%and 0.82,respectively.Conclusions:The 3DCNN-based AI diagnostic support system,developed in this study using innovative 3D multiparametric MRI se-quences,has the potential to assist in identifying patients at a higher risk of pretreatment of high-grade PCa.展开更多
文摘Dear Editor, Prostate cancer （PCa） is the most frequently diagnosed male cancer in Western countries, and the number of PCa patients is also rapidly increasing in ]apan.1,2 Simultaneously, androgen deprivation therapy （ADT） has also been increasingly used in PCa patients in recent years2-5 However, the long-term use of ADT is associated with a variety of pivotal adverse events, including diabetes, anemia, osteoporosis, serum lipid profile changes, and cardiovascular disease （CVD）.1,2 Higher low-density lipoprotein cholesterol （LDL-C） and/or lower high-density lipoprotein cholesterol （HDL-C） are well-established risk factors for CVD, and control of their levels has been an important goal in the treatment and prevention of CVD.6,7 Recently, another alternative parameter, the LDL-C to HDL-C （L/H） ratio, has been reported to be strongly associated with CVD and is thought to be a better predictor of future CVD than LDL-C alone. Closely monitoring serum lipid profile, including the L/H ratio changes affected by ADT, is a key to preventing CVD in PCa patients. Moreover, we previously suggested that a higher L/H ratio might have an impact on the development of arterial stiffness after ADT administration,r Although some cutoff points of the L/H ratio have been reported in clinical use, it has been suggested that thrombosis can occur when the L/H ratio increases to around 2.5 or more in East Asian populations.6 The aim of the present study was to investigate the changes in serum lipid profile and to identify the clinical factors associated with an increased L/H ratio in PCa patients who received ADT.
基金Supported by Grants-in-Aid from the Ministry of Education,Culture,Sports,Science and Technology,Tokyo,Japan,No.22591761,No.23791792
文摘AIM: To investigate the relationship between clinicopathological features and bone turnover markers in castration-resistant prostate cancer(CRPC) patients treated with docetaxel.METHODS: Thirty-three patients were enrolled in this study. Serum levels of carboxyterminal cross-linked telopeptide of type 1 collagen generated by metalloproteinases(1CTP) and alkaline phosphatase(ALP) were measured at the start of docetaxel chemotherapy. We examined the relationship between clinicopathological features and serum levels of 1CTP and ALP levels in CRPC patients treated with docetaxel.RESULTS: For the total patient group, the mean ± standard deviation(SD) values for docetaxel chemotherapy dose, dose intensity, dosage interval, and num-ber of cycles were 59.3 ± 10.6 mg/m2, 13.9 ± 5.2 mg/m2 per week, 4.7 ± 1.2 wk, and 11.2 ± 7.4, respectively. Fourteen patients died from prostate cancer. Patients were divided into two groups according to mean + SD of serum 1CTP(8.2 ng/m L) and ALP(538.2 IU/L) levels at the start of docetaxel chemotherapy. Patients with lower levels of serum 1CTP and ALP had significantly better survivals than those with higher serum levels(P < 0.05).CONCLUSION: Serum levels of 1CTP and ALP are predictors of survival in patients with CRPC who are treated with docetaxel.
文摘Background:With the rising incidence of prostate cancer(PCa),there is a global demand for assistive tools that aid in the diagnosis of high-grade PCa.This study aimed to develop a diagnostic support system for high-grade PCa using innovative magnetic resonance imaging(MRI)sequences in conjunction with artificial intelligence(AI).Materials and methods:We examined image sequences of 254 patients with PCa obtained from diffusion-weighted and T2-weighted imaging,using novel MRI sequences before prostatectomy,to elucidate the characteristics of the 3-dimensional(3D)image sequences.The presence of PCa was determined based on the final diagnosis derived from pathological results after prostatectomy.A 3D deep convolutional neural network(3DCNN)was used as the AI for image recognition.Data augmentation was conducted to enhance the image dataset.High-grade PCa was defined as Gleason grade group 4 or higher.Results:We developed a learning system using a 3DCNN as a diagnostic support system for high-grade PCa.The sensitivity and area under the curve values were 85%and 0.82,respectively.Conclusions:The 3DCNN-based AI diagnostic support system,developed in this study using innovative 3D multiparametric MRI se-quences,has the potential to assist in identifying patients at a higher risk of pretreatment of high-grade PCa.
