Liver fibrosis is an important pathological precondition for hepatocellular carcinoma.The degree of hepatic fibrosis is positively correlated with liver cancer.Liver fibrosis is a series of pathological and physiologi...Liver fibrosis is an important pathological precondition for hepatocellular carcinoma.The degree of hepatic fibrosis is positively correlated with liver cancer.Liver fibrosis is a series of pathological and physiological process related to liver cell necrosis and degeneration after chronic liver injury,which finally leads to extracellular matrix and collagen deposition.The early detection and precise staging of fibrosis and cirrhosis are very important for early diagnosis and timely initiation of appropriate therapeutic regimens.The risk of severe liver fibrosis finally progressing to liver carcinoma is＆gt;50%.It is known that biopsy is the gold standard for the diagnosis and staging of liver fibrosis.However,this method has some limitations,such as the potential for pain,sampling variability,and low patient acceptance.Furthermore,the necessity of obtaining a tissue diagnosis of liver fibrosis still remains controversial.An increasing number of reliable non-invasive approaches are now available that are widely applied in clinical practice,mostly in cases of viral hepatitis,resulting in a significantly decreased need for liver biopsy.In fact,the noninvasive detection and evaluation of liver cirrhosis now has good accuracy due to current serum markers,ultrasound imaging,and magnetic resonance imaging quantification techniques.A prominent advantage of the non-invasive detection and assessment of liver fibrosis is that liver fibrosis can be monitored repeatedly and easily in the same patient.Serum biomarkers have the advantages of high applicability（〉95%）and good reproducibility.However,their results can be influenced by different patient conditions because none of these markers are liver-specific.The most promising techniques appear to be transient elastography and magnetic resonance elastography because they provide reliable results for the detection of fibrosis in the advanced stages,and future developments promise to increase the reliability and accuracy of the staging of hepatic fibrosis.This article aims to describe the recent progress in the development of non-invasive assessment methods for the staging of liver fibrosis,with a special emphasize on computer-aided quantitative and deep learning methods.展开更多
Oral cancer has a tendency to be detected at late stage which is detrimental to the patients because of its high mortality and morbidity rates. Early detection of oral cancer is therefore important to reduce the burde...Oral cancer has a tendency to be detected at late stage which is detrimental to the patients because of its high mortality and morbidity rates. Early detection of oral cancer is therefore important to reduce the burden of this devastating disease. In this review article, the most common oral precancerous lesions are discussed and the importance of early diagnosis is emphasized. In addition, the most common non-invasive oral cancer devices that can aid the general practitioners in early diagnosis are also discussed.展开更多
In mausoleum murals, existing bubbles are one kind of the most harmful defects for the repair and protection of relics. For this reason, it is necessary to detect bubbles, especially the ones with small size. A method...In mausoleum murals, existing bubbles are one kind of the most harmful defects for the repair and protection of relics. For this reason, it is necessary to detect bubbles, especially the ones with small size. A method to detect the small bubbles with enhanced terahertz （THz） images is proposed. To simulate the bubbles in the mausoleum murals, circular grooves have been hidden in the plaster and then measured by the THz reflected time domain spectroscopy imaging system. To observe the small bubbles in murals, a comprehensive enhancement algorithm is adopted to process the obtained THz images. With the enhanced method, the circular grooves in the murals can be observed clearly, even for the circular groove with a diameter of 1.5 mm. The results indicate that the proposed comprehensive method can be used to detect the tiny defects of murals.展开更多
Non-invasive prenatal gene diagnosis has been developed rapidly in the recent years, and numerous medical researchers are focusing on it. Such techniques could not only achieve prenatal diagnosis accurately, but also ...Non-invasive prenatal gene diagnosis has been developed rapidly in the recent years, and numerous medical researchers are focusing on it. Such techniques could not only achieve prenatal diagnosis accurately, but also prevent tangential illness in fetuses and thus, reduce the incidence of diseases. Moreover, it is non-invasive prenatal gene diagnosis that prevents potential threaten and danger to both mothers and fetuses. Therefore, it is welcomed by clinical gynecologist and obstetrian, researchers of medical genetics, and especially, pregnancies. This review article touches briefly on the advanced development of using cell-free DNA, RNA in maternal plasma and urine for non-invasive prenatal gene diagnosis.展开更多
Oral potential malignant disorders (OPMDs), a series of local diseases with carcinogenic potential occurred in oral mucosa, have the possibility of developing into oral cancer. Effective diagnosis and surveillance at ...Oral potential malignant disorders (OPMDs), a series of local diseases with carcinogenic potential occurred in oral mucosa, have the possibility of developing into oral cancer. Effective diagnosis and surveillance at the early stage of OPMDs may be of help for interrupting the malignant transformation. In this review, we introduced the available non-invasive approaches of detecting the suspicious lesions, including vital staining, oral cytology, optical detection, saliva biomarkers detection, and image analysis, which can enhance the detection efficiency for the early diagnosis and surveillance of OPMDs. However, limitations which restrict the clinical application of these approaches still exist. How to improve the sensitivity and specificity of these techniques deserves further detailed study.展开更多
BACKGROUND Anemia in infants and young children can have long-term effects on cognitive and physical development.In Ma'anshan City,China,there has been growing concern about the prevalence of anemia among children...BACKGROUND Anemia in infants and young children can have long-term effects on cognitive and physical development.In Ma'anshan City,China,there has been growing concern about the prevalence of anemia among children aged 6 to 36 mo.Understanding the factors influencing this condition is crucial for targeted interventions and improving overall child health in the region.AIM To analyze the anemia status and influencing factors of infants and young children aged 6 to 36 mo in Ma'anshan City,China.Providing scientific evidence for reducing the incidence of anemia and improving the health level of children in this age group.METHODS The study encompassed 37698 infants and young children,aged from 6 to 36 mo,who underwent health examinations at the Ma'anshan Maternal and Child Health Hospital from January 2018 to October 2022 were included in the study.Basic information,physical examination,and hemoglobin detection data were collected.Descriptive analysis was used to analyze the prevalence of anemia in children in the region,and univariate analysis was used to analyze the influencing factors of anemia.RESULTS The mean hemoglobin level of infants and young children aged 9 to 36 mo increased with age,and the anemia detection rate decreased with age.The anemia detection rate in rural infants aged 6,9,and 12 mo was higher than that in urban infants.Although the anemia detection rate was higher in 6-mo-old boys than girls,it was higher in 24-mo-old girls than boys.There were statistically significant differences in the anemia detection rates among 9-mo-old and 12-mo-old infants with different nutritional statuses(emaciation,overweight,obese,and normal).Moreover,there were no statistically significant differences in anemia detection rates among infants and young children with different nutritional statuses at other ages.Besides,the anemia detection rates in obese infants aged 9 and 12 mo were higher than those in normal and overweight infants,with statistically significant differences.Finally,there were no statistically significant differences in the anemia detection rates between emaciation infants and those with other nutritional statuses.CONCLUSION The anemia situation among infants and young children aged 6 to 36 mo in Ma'anshan City,China,is relatively prominent and influenced by various factors.Our result shown that attention should be paid to the anemic infant and young child population,with strengthened education and targeted prevention and dietary guidance to help them establish good living habits,improve nutritional status,and reduce the occurrence of anemia to improve children's health levels.展开更多
Anemia is one of the public health issues that affect children and pregnant women globally.Anemia occurs when the level of red blood cells within the body is reduced.Detecting anemia requires expert blood draw for cli...Anemia is one of the public health issues that affect children and pregnant women globally.Anemia occurs when the level of red blood cells within the body is reduced.Detecting anemia requires expert blood draw for clinical analysis of hemoglobin quantity.Although this standard method is accurate,it is costive and consumes enough time,unlike the non-invasive approach which is cost-effective and takes less time.This study focused on pallor analysis and used images of the conjunctiva of the eyes to detect anemia using machine learning techniques.This study used a publicly available dataset of 710 images of the conjunctiva of the eyes acquired with a unique tool that eliminates any interference from ambient light.We combined Convolutional Neural Networks,Logistic Regression,and Gaussian Blur algorithm to develop a conjunctiva detection model and an anemia detection model which runs on a Fast API server connected to a frontend mobile app built with React Native.The developed model was embedded into a smartphone application that can detect anemia by capturing and processing a patient's conjunctiva with a sensitivity of 90%,a specificity of 95%,and an accuracy of 92.50%on average performance in about 50 s.展开更多
Anemia is a public health issue with serious ramifications for human health globally.Anemia particularly affects pregnant women and children from 6 to 59 months old even though every individual is at risk.Anemia occur...Anemia is a public health issue with serious ramifications for human health globally.Anemia particularly affects pregnant women and children from 6 to 59 months old even though every individual is at risk.Anemia occurs when the Hb level is below its normal threshold or when the red blood cells are weakened or destroyed.To discover medical remedies on time,early detection or diagnosis of anemia assist patients to understand their condition.The invasive approach for anemia detection is costive and time-consuming as compared to the non-invasive approach which is reliable and suitable for developing communities where medical resources and personnel are inadequate.This study uses palpable palm images(dataset)collected from 710 participants in selected hospitals in Ghana.The images were extracted,segmented and converted into RGB percentile to train,validate and tested the machine learning models.A hybrid model was developed with the application of ensemble learning models using the R programming language on the R Studio platform.Stacking,voting,boosting and bagging ensemble model techniques were used to build the hybrid models,the stacking ensemble model achieved an accuracy of 99.73%.The study justifies that ensemble models are efficient for medical disease diagnosis or detection such as anemia.展开更多
Pancreatic cancer (PC), a deadly malignancy with an overall 5-year survival rate of 5% to 15%, is ranked as the seventh leading cause of cancer death in the world in spite of its low occurrence rate.[1,2] Early detect...Pancreatic cancer (PC), a deadly malignancy with an overall 5-year survival rate of 5% to 15%, is ranked as the seventh leading cause of cancer death in the world in spite of its low occurrence rate.[1,2] Early detection appears to be the most effective approach to improve the overall survival of patients with PC. However, the difficulty in early detection of PC is a lack of specific symptoms and reliable biomarkers. Currently, carbohydrate antigen 19-9 (CA 19-9) is a serum biomarker that is widely used in PC detection. However, 10% of patients with PC cannot produce CA 19-9 and serum CA 19-9 is frequently absent in patients with early-stage cancer. Furthermore, CA 19-9 is often found to be elevated in benign conditions or in other cancers, making its utility limited. Therefore, it is important to identify new diagnostic biomarkers to improve PC detection.展开更多
Background： In the past decades, studies on infant anemia have mainly focused on rural areas of China. With the increasing heterogeneity of population in recent years, available information on infant anemia is inconc...Background： In the past decades, studies on infant anemia have mainly focused on rural areas of China. With the increasing heterogeneity of population in recent years, available information on infant anemia is inconclusive in large cities of China, especially with comparison between native residents and floating population. This population-based cross-sectional study was implemented to determine the anemic status of infants as well as the risk factors in a representative downtown area of Beijing. Methods： As useful methods to build a predictive model, Chi-squared automatic interaction detection （CHAID） decision tree analysis and logistic regression analysis were introduced to explore risk factors of infant anemia. A total of 1091 infants aged 6-12 months together with their parents/caregivers living at Heping Avenue Subdistrict of Beijing were surveyed from January 1,2013 to December 31, 2014. Results： The prevalence of anemia was 12.60% with a range of 3.47%-40.00% in different subgroup characteristics. The CHAID decision tree model has demonstrated multilevel interaction among risk factors through stepwise pathways to detect anemia. Besides the three predictors identified by logistic regression model including maternal anemia during pregnancy, exclusive breastfeeding in the first 6 months, and floating population, CHAID decision tree analysis also identified the fourth risk factor, the maternal educational level, with higher overall classification accuracy and larger area below the receiver operating characteristic curve. Conclusions： The infant anemic status in metropolis is complex and should be carefully considered by the basic health care practitioners. CHAID decision tree analysis has demonstrated a better performance in hierarchical analysis of population with great heterogeneity. Risk factors identified by this study might be meaningful in the early detection and prompt treatment of infant anemia in large cities.展开更多
目的对肿瘤相关性贫血(cancer related anemia,CRA)患者进行输血治疗后,分析通过血浆D-二聚体水平的检测对患者进行评估的临床应用价值。方法将太仓市中医医院于2020年6月—2022年6月收治的48例恶性肿瘤伴C R A患者作为研究对象,所有患...目的对肿瘤相关性贫血(cancer related anemia,CRA)患者进行输血治疗后,分析通过血浆D-二聚体水平的检测对患者进行评估的临床应用价值。方法将太仓市中医医院于2020年6月—2022年6月收治的48例恶性肿瘤伴C R A患者作为研究对象,所有患者均进行输血治疗。检测输血前、后患者血浆D-二聚体水平,比较不同输血前血浆D-二聚体水平、不同输血治疗效果、不同单次输血量及不同输血次数患者输血后的血浆D-二聚体水平。结果输血治疗后血浆D-二聚体水平均高于输血前,差异均有统计学意义(P<0.05)。单次输血量<2 U的患者输血前后血浆D-二聚体水平比较差异无统计学意义(P>0.05),输血量≥2 U的患者输血后血浆D-二聚体水平明显升高,差异有统计学意义(P<0.05)。不同输血次数输血3 U患者输血后血浆D-二聚体水平均明显升高,差异均有统计学意义(P<0.05)。结论恶性肿瘤伴CRA患者进行输血治疗后,血浆D-二聚体水平会出现变化,将其作为评估治疗贫血效果的指标是有临床意义的,也能够为肿瘤患者制定合理的输血方案提供依据和参考。展开更多
文摘Liver fibrosis is an important pathological precondition for hepatocellular carcinoma.The degree of hepatic fibrosis is positively correlated with liver cancer.Liver fibrosis is a series of pathological and physiological process related to liver cell necrosis and degeneration after chronic liver injury,which finally leads to extracellular matrix and collagen deposition.The early detection and precise staging of fibrosis and cirrhosis are very important for early diagnosis and timely initiation of appropriate therapeutic regimens.The risk of severe liver fibrosis finally progressing to liver carcinoma is＆gt;50%.It is known that biopsy is the gold standard for the diagnosis and staging of liver fibrosis.However,this method has some limitations,such as the potential for pain,sampling variability,and low patient acceptance.Furthermore,the necessity of obtaining a tissue diagnosis of liver fibrosis still remains controversial.An increasing number of reliable non-invasive approaches are now available that are widely applied in clinical practice,mostly in cases of viral hepatitis,resulting in a significantly decreased need for liver biopsy.In fact,the noninvasive detection and evaluation of liver cirrhosis now has good accuracy due to current serum markers,ultrasound imaging,and magnetic resonance imaging quantification techniques.A prominent advantage of the non-invasive detection and assessment of liver fibrosis is that liver fibrosis can be monitored repeatedly and easily in the same patient.Serum biomarkers have the advantages of high applicability（〉95%）and good reproducibility.However,their results can be influenced by different patient conditions because none of these markers are liver-specific.The most promising techniques appear to be transient elastography and magnetic resonance elastography because they provide reliable results for the detection of fibrosis in the advanced stages,and future developments promise to increase the reliability and accuracy of the staging of hepatic fibrosis.This article aims to describe the recent progress in the development of non-invasive assessment methods for the staging of liver fibrosis,with a special emphasize on computer-aided quantitative and deep learning methods.
基金supported by Open Fund of State Key Laboratory of Oral Diseases, Sichuan University
文摘Oral cancer has a tendency to be detected at late stage which is detrimental to the patients because of its high mortality and morbidity rates. Early detection of oral cancer is therefore important to reduce the burden of this devastating disease. In this review article, the most common oral precancerous lesions are discussed and the importance of early diagnosis is emphasized. In addition, the most common non-invasive oral cancer devices that can aid the general practitioners in early diagnosis are also discussed.
基金supported by the 973 Program of China under Grant No.2013CBA01702National Natural Science Foundation of China under Grant No.11474206,No.91233202,No.11374216,and No.11404224+3 种基金Program for New Century Excellent Talents in University under Grant No.NCET-12-0607Scientific Research Project of Beijing Education Commission under Grant No.KM201310028005Specialized Research Fund for the Doctoral Program of Higher Education under Grant No.20121108120009the Beijing Youth Top-Notch Talent Training Plan under Grant No.CIT&TCD201504080
文摘In mausoleum murals, existing bubbles are one kind of the most harmful defects for the repair and protection of relics. For this reason, it is necessary to detect bubbles, especially the ones with small size. A method to detect the small bubbles with enhanced terahertz （THz） images is proposed. To simulate the bubbles in the mausoleum murals, circular grooves have been hidden in the plaster and then measured by the THz reflected time domain spectroscopy imaging system. To observe the small bubbles in murals, a comprehensive enhancement algorithm is adopted to process the obtained THz images. With the enhanced method, the circular grooves in the murals can be observed clearly, even for the circular groove with a diameter of 1.5 mm. The results indicate that the proposed comprehensive method can be used to detect the tiny defects of murals.
文摘Non-invasive prenatal gene diagnosis has been developed rapidly in the recent years, and numerous medical researchers are focusing on it. Such techniques could not only achieve prenatal diagnosis accurately, but also prevent tangential illness in fetuses and thus, reduce the incidence of diseases. Moreover, it is non-invasive prenatal gene diagnosis that prevents potential threaten and danger to both mothers and fetuses. Therefore, it is welcomed by clinical gynecologist and obstetrian, researchers of medical genetics, and especially, pregnancies. This review article touches briefly on the advanced development of using cell-free DNA, RNA in maternal plasma and urine for non-invasive prenatal gene diagnosis.
文摘Oral potential malignant disorders (OPMDs), a series of local diseases with carcinogenic potential occurred in oral mucosa, have the possibility of developing into oral cancer. Effective diagnosis and surveillance at the early stage of OPMDs may be of help for interrupting the malignant transformation. In this review, we introduced the available non-invasive approaches of detecting the suspicious lesions, including vital staining, oral cytology, optical detection, saliva biomarkers detection, and image analysis, which can enhance the detection efficiency for the early diagnosis and surveillance of OPMDs. However, limitations which restrict the clinical application of these approaches still exist. How to improve the sensitivity and specificity of these techniques deserves further detailed study.
文摘BACKGROUND Anemia in infants and young children can have long-term effects on cognitive and physical development.In Ma'anshan City,China,there has been growing concern about the prevalence of anemia among children aged 6 to 36 mo.Understanding the factors influencing this condition is crucial for targeted interventions and improving overall child health in the region.AIM To analyze the anemia status and influencing factors of infants and young children aged 6 to 36 mo in Ma'anshan City,China.Providing scientific evidence for reducing the incidence of anemia and improving the health level of children in this age group.METHODS The study encompassed 37698 infants and young children,aged from 6 to 36 mo,who underwent health examinations at the Ma'anshan Maternal and Child Health Hospital from January 2018 to October 2022 were included in the study.Basic information,physical examination,and hemoglobin detection data were collected.Descriptive analysis was used to analyze the prevalence of anemia in children in the region,and univariate analysis was used to analyze the influencing factors of anemia.RESULTS The mean hemoglobin level of infants and young children aged 9 to 36 mo increased with age,and the anemia detection rate decreased with age.The anemia detection rate in rural infants aged 6,9,and 12 mo was higher than that in urban infants.Although the anemia detection rate was higher in 6-mo-old boys than girls,it was higher in 24-mo-old girls than boys.There were statistically significant differences in the anemia detection rates among 9-mo-old and 12-mo-old infants with different nutritional statuses(emaciation,overweight,obese,and normal).Moreover,there were no statistically significant differences in anemia detection rates among infants and young children with different nutritional statuses at other ages.Besides,the anemia detection rates in obese infants aged 9 and 12 mo were higher than those in normal and overweight infants,with statistically significant differences.Finally,there were no statistically significant differences in the anemia detection rates between emaciation infants and those with other nutritional statuses.CONCLUSION The anemia situation among infants and young children aged 6 to 36 mo in Ma'anshan City,China,is relatively prominent and influenced by various factors.Our result shown that attention should be paid to the anemic infant and young child population,with strengthened education and targeted prevention and dietary guidance to help them establish good living habits,improve nutritional status,and reduce the occurrence of anemia to improve children's health levels.
文摘Anemia is one of the public health issues that affect children and pregnant women globally.Anemia occurs when the level of red blood cells within the body is reduced.Detecting anemia requires expert blood draw for clinical analysis of hemoglobin quantity.Although this standard method is accurate,it is costive and consumes enough time,unlike the non-invasive approach which is cost-effective and takes less time.This study focused on pallor analysis and used images of the conjunctiva of the eyes to detect anemia using machine learning techniques.This study used a publicly available dataset of 710 images of the conjunctiva of the eyes acquired with a unique tool that eliminates any interference from ambient light.We combined Convolutional Neural Networks,Logistic Regression,and Gaussian Blur algorithm to develop a conjunctiva detection model and an anemia detection model which runs on a Fast API server connected to a frontend mobile app built with React Native.The developed model was embedded into a smartphone application that can detect anemia by capturing and processing a patient's conjunctiva with a sensitivity of 90%,a specificity of 95%,and an accuracy of 92.50%on average performance in about 50 s.
文摘Anemia is a public health issue with serious ramifications for human health globally.Anemia particularly affects pregnant women and children from 6 to 59 months old even though every individual is at risk.Anemia occurs when the Hb level is below its normal threshold or when the red blood cells are weakened or destroyed.To discover medical remedies on time,early detection or diagnosis of anemia assist patients to understand their condition.The invasive approach for anemia detection is costive and time-consuming as compared to the non-invasive approach which is reliable and suitable for developing communities where medical resources and personnel are inadequate.This study uses palpable palm images(dataset)collected from 710 participants in selected hospitals in Ghana.The images were extracted,segmented and converted into RGB percentile to train,validate and tested the machine learning models.A hybrid model was developed with the application of ensemble learning models using the R programming language on the R Studio platform.Stacking,voting,boosting and bagging ensemble model techniques were used to build the hybrid models,the stacking ensemble model achieved an accuracy of 99.73%.The study justifies that ensemble models are efficient for medical disease diagnosis or detection such as anemia.
文摘Pancreatic cancer (PC), a deadly malignancy with an overall 5-year survival rate of 5% to 15%, is ranked as the seventh leading cause of cancer death in the world in spite of its low occurrence rate.[1,2] Early detection appears to be the most effective approach to improve the overall survival of patients with PC. However, the difficulty in early detection of PC is a lack of specific symptoms and reliable biomarkers. Currently, carbohydrate antigen 19-9 (CA 19-9) is a serum biomarker that is widely used in PC detection. However, 10% of patients with PC cannot produce CA 19-9 and serum CA 19-9 is frequently absent in patients with early-stage cancer. Furthermore, CA 19-9 is often found to be elevated in benign conditions or in other cancers, making its utility limited. Therefore, it is important to identify new diagnostic biomarkers to improve PC detection.
文摘Background： In the past decades, studies on infant anemia have mainly focused on rural areas of China. With the increasing heterogeneity of population in recent years, available information on infant anemia is inconclusive in large cities of China, especially with comparison between native residents and floating population. This population-based cross-sectional study was implemented to determine the anemic status of infants as well as the risk factors in a representative downtown area of Beijing. Methods： As useful methods to build a predictive model, Chi-squared automatic interaction detection （CHAID） decision tree analysis and logistic regression analysis were introduced to explore risk factors of infant anemia. A total of 1091 infants aged 6-12 months together with their parents/caregivers living at Heping Avenue Subdistrict of Beijing were surveyed from January 1,2013 to December 31, 2014. Results： The prevalence of anemia was 12.60% with a range of 3.47%-40.00% in different subgroup characteristics. The CHAID decision tree model has demonstrated multilevel interaction among risk factors through stepwise pathways to detect anemia. Besides the three predictors identified by logistic regression model including maternal anemia during pregnancy, exclusive breastfeeding in the first 6 months, and floating population, CHAID decision tree analysis also identified the fourth risk factor, the maternal educational level, with higher overall classification accuracy and larger area below the receiver operating characteristic curve. Conclusions： The infant anemic status in metropolis is complex and should be carefully considered by the basic health care practitioners. CHAID decision tree analysis has demonstrated a better performance in hierarchical analysis of population with great heterogeneity. Risk factors identified by this study might be meaningful in the early detection and prompt treatment of infant anemia in large cities.
文摘目的对肿瘤相关性贫血(cancer related anemia,CRA)患者进行输血治疗后,分析通过血浆D-二聚体水平的检测对患者进行评估的临床应用价值。方法将太仓市中医医院于2020年6月—2022年6月收治的48例恶性肿瘤伴C R A患者作为研究对象,所有患者均进行输血治疗。检测输血前、后患者血浆D-二聚体水平,比较不同输血前血浆D-二聚体水平、不同输血治疗效果、不同单次输血量及不同输血次数患者输血后的血浆D-二聚体水平。结果输血治疗后血浆D-二聚体水平均高于输血前,差异均有统计学意义(P<0.05)。单次输血量<2 U的患者输血前后血浆D-二聚体水平比较差异无统计学意义(P>0.05),输血量≥2 U的患者输血后血浆D-二聚体水平明显升高,差异有统计学意义(P<0.05)。不同输血次数输血3 U患者输血后血浆D-二聚体水平均明显升高,差异均有统计学意义(P<0.05)。结论恶性肿瘤伴CRA患者进行输血治疗后,血浆D-二聚体水平会出现变化,将其作为评估治疗贫血效果的指标是有临床意义的,也能够为肿瘤患者制定合理的输血方案提供依据和参考。
