Background: Small hepatocellular carcinoma(sHCC) is a unique variant of HCC that is characterized by small tumor size(maximum tumor diameter predic≤3 cm) and favorable long?term outcomes. The present study aimed to d...Background: Small hepatocellular carcinoma(sHCC) is a unique variant of HCC that is characterized by small tumor size(maximum tumor diameter predic≤3 cm) and favorable long?term outcomes. The present study aimed to define clin?icopathologic factors that t survival in patients with s HCC.Methods: The study population consisted of 335 patients who underwent hepatectomy for solitary s HCC between December 1998 and 2010. Prognostic factors were evaluated using Kaplan–Meier curves and Cox proportional hazard models.Results: The 5?year overall survival(OS) and recurrence?free survival(RFS) rates were 77.7% and 59.9%, respectively. Kaplan–Meier curves showed that tumor size and vascular invasion had prognostic significance within this relatively selected cohort(P < 0.05). Multivariate analysis confirmed that increased tumor size and vascular invasion were independent prognostic factors for short OS(hazard ratio [HR] = 2.367, 95% confidence interval [CI] 1.406–3.985; HR = 2.954, 95% CI 1.781–4.900) and RFS(HR = 1.779, 95% CI 1.259–2.514; HR < 0.05). Importantly, a proposed prognostic scoring model was deri= 1.699, 95% CI 1.165–2.477) in s HCC patients(Pved according to the two variables; tumor size and extent of vascular invasion were significantly associated with OS and RFS in patients with s HCC(P < 0.001).Conclusions: Tumor size and vascular invasion are feasible and useful prognostic factors for s HCC. The proposed prognostic model, based on tumor size and vascular invasion, is informative in predicting survival in s HCC patients undergoing hepatectomy.展开更多
Background: Gastroesophageal reflux disease (GERD) is a disorder resulting from the reversed flow of gastroduodenal contents into the esophagus, and producing different symptoms, while laryngopharyngeal reflux (LPR) i...Background: Gastroesophageal reflux disease (GERD) is a disorder resulting from the reversed flow of gastroduodenal contents into the esophagus, and producing different symptoms, while laryngopharyngeal reflux (LPR) is a disorder resulting from the reversed flow of gastric contents into the hypopharynx. The aim of this work is to evaluate LPR in cases of GERD. Methods: The present study was performed on fifty GERD patients diagnosed by gastroscope. LPR was assessed by reflux symptoms score (RSI) and reflux finding score (RFS). Accordingly, patients are classified into: Group I = 25 patients with manifest LPR, and Group II = 25 control patients without LPR symptoms. Results: GERD accounts for 17.4% of attendants of gastroscope unit, where manifest LPR accounts for 29.1% of GERD cases recording mean RSI and RFS 16.48 and 8.44 respectively. Silent LPR accounts for 8% recording mean RFS 7. Conclusion: There is a significant direct proportional relationship between severity of GERD and the RSI and RFS (p = 0.015 and 0.005 respectively).展开更多
Objective:Circulating tumor DNA(ctDNA)is increasingly being used as a potential prognostic biomarker in cancer patients.We aimed to assess the prognostic value of ctDNA in different subtypes of breast cancer patients ...Objective:Circulating tumor DNA(ctDNA)is increasingly being used as a potential prognostic biomarker in cancer patients.We aimed to assess the prognostic value of ctDNA in different subtypes of breast cancer patients throughout the whole treatment cycle.Materials and methods:PubMed,Web of Science,Embase,Cochrane Library,Scopus,and clinical trials.gov databases were searched from January 2016 to May 2022.The following search terms were used:ctDNA OR circulating tumor DNA AND breast cancer OR breast carcinoma.Only studies written in English were included.The following pre-specified criteria should be met for inclusion:(i)original articles,conference abstracts,etc.;(ii)patients with breast cancer;(iii)ctDNA measurement;and(iv)clinical outcome data such as recurrence-free survival(RFS)and overall survival(OS).The random-effects model was preferred considering the potential het-erogeneity across studies.The main outcomes are ctDNA detection rate and postoperative long-term outcomes(RFS and OS).Results:A total of 24 studies were screened.At every measurement time,the ctDNA detection rate of the HR+subgroup was similar to that of the HR-subgroup(P=0.075;P=0.458;P=0.744;and P=0.578),and the ctDNA detection rate of the HER2+subgroup was similar to that of the HER2-subgroup(P=0.805;P=0.271;P=0.807;and P=0.703).In the HR+subgroup,RFS and OS of ctDNA positive patients were similar to those of ctDNA negative patients(P=0.589 and P=0.110),while RFS and OS of the ctDNA positive group was significantly shorter than those of the ctDNA negative patients in the HR-subgroup(HR=4.03,P<0.001;HR=3.21,P<0.001).According to HER grouping,the results were the same as above.In the triple negative breast cancer(TNBC)subgroup,the RFS and OS of ctDNA-positive patients was significantly shorter than of the ctDNA negative patients before and after surgery.Conclusions:ctDNA was more predictive of recurrence-free survival and overall survival in the HR-subgroup than in the HR+subgroup,and the same result was showed in the HER2-subgroup vs.HER2+sub展开更多
The probability hypothesis density （PHD） propagates the posterior intensity in place of the poste- rior probability density of the multi-target state. The cardinalized PHD （CPHD） recursion is a generalization of P...The probability hypothesis density （PHD） propagates the posterior intensity in place of the poste- rior probability density of the multi-target state. The cardinalized PHD （CPHD） recursion is a generalization of PHD recursion, which jointly propagates the posterior intensity function and posterior cardinality distribution. A number of sequential Monte Carlo （SMC） implementations of PHD and CPHD filters （also known as SMC- PHD and SMC-CPHD filters, respectively） for general non-linear non-Gaussian models have been proposed. However, these approaches encounter the limitations when the observation variable is analytically unknown or the observation noise is null or too small. In this paper, we propose a convolution kernel approach in the SMC-CPHD filter. The simuIation results show the performance of the proposed filter on several simulated case studies when compared to the SMC-CPHD filter.展开更多
基金supported by the grants from the National Natural Science Foundation of China (No.81302139,81172340,81202111,and 81225018)
文摘Background: Small hepatocellular carcinoma(sHCC) is a unique variant of HCC that is characterized by small tumor size(maximum tumor diameter predic≤3 cm) and favorable long?term outcomes. The present study aimed to define clin?icopathologic factors that t survival in patients with s HCC.Methods: The study population consisted of 335 patients who underwent hepatectomy for solitary s HCC between December 1998 and 2010. Prognostic factors were evaluated using Kaplan–Meier curves and Cox proportional hazard models.Results: The 5?year overall survival(OS) and recurrence?free survival(RFS) rates were 77.7% and 59.9%, respectively. Kaplan–Meier curves showed that tumor size and vascular invasion had prognostic significance within this relatively selected cohort(P < 0.05). Multivariate analysis confirmed that increased tumor size and vascular invasion were independent prognostic factors for short OS(hazard ratio [HR] = 2.367, 95% confidence interval [CI] 1.406–3.985; HR = 2.954, 95% CI 1.781–4.900) and RFS(HR = 1.779, 95% CI 1.259–2.514; HR < 0.05). Importantly, a proposed prognostic scoring model was deri= 1.699, 95% CI 1.165–2.477) in s HCC patients(Pved according to the two variables; tumor size and extent of vascular invasion were significantly associated with OS and RFS in patients with s HCC(P < 0.001).Conclusions: Tumor size and vascular invasion are feasible and useful prognostic factors for s HCC. The proposed prognostic model, based on tumor size and vascular invasion, is informative in predicting survival in s HCC patients undergoing hepatectomy.
文摘Background: Gastroesophageal reflux disease (GERD) is a disorder resulting from the reversed flow of gastroduodenal contents into the esophagus, and producing different symptoms, while laryngopharyngeal reflux (LPR) is a disorder resulting from the reversed flow of gastric contents into the hypopharynx. The aim of this work is to evaluate LPR in cases of GERD. Methods: The present study was performed on fifty GERD patients diagnosed by gastroscope. LPR was assessed by reflux symptoms score (RSI) and reflux finding score (RFS). Accordingly, patients are classified into: Group I = 25 patients with manifest LPR, and Group II = 25 control patients without LPR symptoms. Results: GERD accounts for 17.4% of attendants of gastroscope unit, where manifest LPR accounts for 29.1% of GERD cases recording mean RSI and RFS 16.48 and 8.44 respectively. Silent LPR accounts for 8% recording mean RFS 7. Conclusion: There is a significant direct proportional relationship between severity of GERD and the RSI and RFS (p = 0.015 and 0.005 respectively).
基金funded by the Capital’s Funds for Health Improve-ment and Research(grant number:2024-1G-4023)the Special Project for Director,China Center for Evidence Based Traditional Chinese Medicine(grant number:2020YJSZX-2)the National Natural Sci-ence Foundation of China(grant number:72074011)。
文摘Objective:Circulating tumor DNA(ctDNA)is increasingly being used as a potential prognostic biomarker in cancer patients.We aimed to assess the prognostic value of ctDNA in different subtypes of breast cancer patients throughout the whole treatment cycle.Materials and methods:PubMed,Web of Science,Embase,Cochrane Library,Scopus,and clinical trials.gov databases were searched from January 2016 to May 2022.The following search terms were used:ctDNA OR circulating tumor DNA AND breast cancer OR breast carcinoma.Only studies written in English were included.The following pre-specified criteria should be met for inclusion:(i)original articles,conference abstracts,etc.;(ii)patients with breast cancer;(iii)ctDNA measurement;and(iv)clinical outcome data such as recurrence-free survival(RFS)and overall survival(OS).The random-effects model was preferred considering the potential het-erogeneity across studies.The main outcomes are ctDNA detection rate and postoperative long-term outcomes(RFS and OS).Results:A total of 24 studies were screened.At every measurement time,the ctDNA detection rate of the HR+subgroup was similar to that of the HR-subgroup(P=0.075;P=0.458;P=0.744;and P=0.578),and the ctDNA detection rate of the HER2+subgroup was similar to that of the HER2-subgroup(P=0.805;P=0.271;P=0.807;and P=0.703).In the HR+subgroup,RFS and OS of ctDNA positive patients were similar to those of ctDNA negative patients(P=0.589 and P=0.110),while RFS and OS of the ctDNA positive group was significantly shorter than those of the ctDNA negative patients in the HR-subgroup(HR=4.03,P<0.001;HR=3.21,P<0.001).According to HER grouping,the results were the same as above.In the triple negative breast cancer(TNBC)subgroup,the RFS and OS of ctDNA-positive patients was significantly shorter than of the ctDNA negative patients before and after surgery.Conclusions:ctDNA was more predictive of recurrence-free survival and overall survival in the HR-subgroup than in the HR+subgroup,and the same result was showed in the HER2-subgroup vs.HER2+sub
基金Supported in Part by the Foundation of the Excellent State Key Laboratory under Grant 40523005,and the Ministry of Education of China
文摘The probability hypothesis density （PHD） propagates the posterior intensity in place of the poste- rior probability density of the multi-target state. The cardinalized PHD （CPHD） recursion is a generalization of PHD recursion, which jointly propagates the posterior intensity function and posterior cardinality distribution. A number of sequential Monte Carlo （SMC） implementations of PHD and CPHD filters （also known as SMC- PHD and SMC-CPHD filters, respectively） for general non-linear non-Gaussian models have been proposed. However, these approaches encounter the limitations when the observation variable is analytically unknown or the observation noise is null or too small. In this paper, we propose a convolution kernel approach in the SMC-CPHD filter. The simuIation results show the performance of the proposed filter on several simulated case studies when compared to the SMC-CPHD filter.
