Breast cancer diagnosis through mammography is a pivotal application within medical image-based diagnostics,integral for early detection and effective treatment.While deep learning has significantly advanced the analy...Breast cancer diagnosis through mammography is a pivotal application within medical image-based diagnostics,integral for early detection and effective treatment.While deep learning has significantly advanced the analysis of mammographic images,challenges such as low contrast,image noise,and the high dimensionality of features often degrade model performance.Addressing these challenges,our study introduces a novel method integrating Genetic Algorithms(GA)with pre-trained Convolutional Neural Network(CNN)models to enhance feature selection and classification accuracy.Our approach involves a systematic process:first,we employ widely-used CNN architectures(VGG16,VGG19,MobileNet,and DenseNet)to extract a broad range of features from the Medical Image Analysis Society(MIAS)mammography dataset.Subsequently,a GA optimizes these features by selecting the most relevant and least redundant,aiming to overcome the typical pitfalls of high dimensionality.The selected features are then utilized to train several classifiers,including Linear and Polynomial Support Vector Machines(SVMs),K-Nearest Neighbors,Decision Trees,and Random Forests,enabling a robust evaluation of the method’s effectiveness across varied learning algorithms.Our extensive experimental evaluation demonstrates that the integration of MobileNet and GA significantly improves classification accuracy,from 83.33%to 89.58%,underscoring the method’s efficacy.By detailing these steps,we highlight the innovation of our approach which not only addresses key issues in breast cancer imaging analysis but also offers a scalable solution potentially applicable to other domains within medical imaging.展开更多
BACKGROUND Multiple primary malignant neoplasms(MPMNs)are rare,while synchronous MPMNs(SMPMNs)are even less common.Owing to the progression of medical technology and the extension of life expectancy,its incidence is g...BACKGROUND Multiple primary malignant neoplasms(MPMNs)are rare,while synchronous MPMNs(SMPMNs)are even less common.Owing to the progression of medical technology and the extension of life expectancy,its incidence is gradually increasing.CASE SUMMARY Although reports of breast and thyroid dual cancers are common,cases of an additional diagnosis of kidney primary cancer within the same individual are rare.CONCLUSION We present a case of simultaneous MPMN of three endocrine organs,reviewing the relevant literature to enhance our understanding of SMPMNs while emphasizing the increasingly important need for accurate diagnosis and multidisciplinary management whenever this challenging situation arises.展开更多
The aim of this study is to assess the occurrence and type of violence suffered by women with breast cancer in the High Complexity Care Unit of a municipality in the South of Minas and patients in a support group of t...The aim of this study is to assess the occurrence and type of violence suffered by women with breast cancer in the High Complexity Care Unit of a municipality in the South of Minas and patients in a support group of the University of the South of Minas Gerais. For that aim, a descriptive-exploratory methodology was applied through the quantitative method. Data were collected through a semi-structured form applied in individual interviews over a period of three months. We interviewed 57 patients and among those, 20 women （35.08%） reported having experienced some form of violence at some stage of their life, and the most frequently mentioned was the psychological violence followed by physical aggression. Although it was possible to identify that violence against affected these women, complaints against the aggressor were not affected.展开更多
Objective Breast cancer is the most frequently diagnosed cancer in women. Accurate evaluation of the size and extent of the tumor is crucial in selecting a suitable surgical method for patients with breast cancer. Bot...Objective Breast cancer is the most frequently diagnosed cancer in women. Accurate evaluation of the size and extent of the tumor is crucial in selecting a suitable surgical method for patients with breast cancer. Both overestimation and underestimation have important adverse effects on patient care. This study aimed to evaluate the accuracy of breast magnetic resonance imaging(MRI) and ultrasound(US) examination for measuring the size and extent of early-stage breast neoplasms.Methods The longest diameter of breast tumors in patients with T_(1–2)N_(0–1)M_0 invasive breast cancer preparing for breast-conserving surgery(BCS) was measured preoperatively by using both MRI and US and their accuracy was compared with that of postoperative pathologic examination. If the diameter difference was within 2 mm, it was considered to be consistent with pathologic examination.Results A total of 36 patients were imaged using both MRI and US. The mean longest diameter of the tumors on MRI, US, and postoperative pathologic examination was 20.86 mm ± 4.09 mm(range: 11–27 mm), 16.14 mm ± 4.91 mm(range: 6–26 mm), and 18.36 mm ± 3.88 mm(range: 9–24 mm). US examination underestimated the size of the tumor compared to that determined using pathologic examination(t = 3.49, P < 0.01), while MRI overestimated it(t =-6.35, P < 0.01). The linear correlation coefficients between the image measurements and pathologic tumor size were r = 0.826(P < 0.01) for MRI and r = 0.645(P < 0.01) for US. The rate of consistency of MRI and US compared to that with pathologic examination was 88.89% and 80.65%, respectively, and there was no statistically significant difference between them(χ~2 = 0.80, P > 0.05).Conclusion MRI and US are both effective methods to assess the size of breast tumors, and they maintain good consistency with pathologic examination. MRI has a better correlation with pathology. However, we should be careful about the risk of inaccurate size estimation.展开更多
Clinical testing of patients for hereditary breast and ovarian cancer syndromes began in the mid-1990s with the identification of the BRCA1 and BRCA2 genes.Since then,mutations in dozens of other genes have been corre...Clinical testing of patients for hereditary breast and ovarian cancer syndromes began in the mid-1990s with the identification of the BRCA1 and BRCA2 genes.Since then,mutations in dozens of other genes have been correlated to increased breast,ovarian,and other cancer risk.The following decades of data collection and patient advocacy allowed for improvements in medical,legal,social,and ethical advances in genetic testing.Technological advances have made it possible to sequence multiple genes at once in a panel to give patients a more thorough evaluation of their personal cancer risk.Panel testing increases the detection of mutations that lead to increased risk of breast,ovarian,and other cancers and can better guide individualized screening measures compared to limited BRCA testing alone.At the same time,multi-gene panel testing is more time-and cost-efficient.While the clinical application of panel testing is in its infancy,many problems arise such as lack of guidelines for management of newly identified gene mutations,high rates of variants of uncertain significance,and limited ability to screen for some cancers.Through on-going concerted efforts of pooled data collection and analysis,it is likely that the benefits of multi-gene panel testing will outweigh the risks in the near future.展开更多
The present study was designed to examine the contributions of the fatty acid elongase （ELOVL） gene polymorphisms to the levels of polyunsaturated fatty acids （PUFAs） in breast milk. Two hundred and nine healthy H...The present study was designed to examine the contributions of the fatty acid elongase （ELOVL） gene polymorphisms to the levels of polyunsaturated fatty acids （PUFAs） in breast milk. Two hundred and nine healthy Han Chinese mothers were included in the study. Carriers of minor alleles of SNPs （rs2397142 and rs9357760） in ELOVL5 were associated with higher levels of linoleic acid （LA）, dihomo-γ-linolenic acid （DGLA）, arachidonic acid （AA）, docosatetraenoic acid （DTA）, docosahexenoic acid （DHA）, while in rs209512 of ELOVL5 the carriers of minor alleles had lower levels of DTA compared to major homozygote alleles （P ranged from 0.004-0.046）, and genetically explained variability ranged from 3.2% for eicosapentaenoic acid （EPA） to 6.0% for LA. Our findings demonstrated that common variation in ELOVL5 gene encoding rate-limiting enzymes in the metabolism of PUFAs contribute to the PUFAs in breast milk.展开更多
Objective:To investigate the clinicopathological characteristics and prognostic factors of early-stage breast cancer patients with indications for breast cancer susceptibility genes 1/2(BRCA1/2)genetic testing in Chin...Objective:To investigate the clinicopathological characteristics and prognostic factors of early-stage breast cancer patients with indications for breast cancer susceptibility genes 1/2(BRCA1/2)genetic testing in China.Methods:Based on the indication criteria for BRCA genetic testing specified in the National Comprehensive Cancer Network(NCCN)clinical practice guidelines in oncology,genetic/familial high-risk assessment:Breast and ovarian(Version 2.2019),a retrospective analysis was performed on patients with early-stage invasive breast cancer treated at Breast Disease Center,Peking University First Hospital between January 2008 and December 2016.Clinicopathological characteristics of all patients were analyzed,and prognoses were calculated using the KaplanMeier method and a Cox proportionate hazards model.Results:A total of 906 early-stage breast cancer patients who had indications for BRCA genetic testing and had complete clinicopathological data and follow-up information were included in the study group,accounting for34.7%of all breast cancer patients treated in Breast Disease Center,Peking University First Hospital during the study period.Compared with breast cancer patients without indications for BRCA genetic testing,the overall survival(OS)and disease-free survival(DFS)of patients with indications were not significantly different.In the study group,patients with premenopausal status,high T stage,lymph node positive,estrogen receptor(ER)negative,Ki-67>20%and presence of a vascular tumor thrombus had worse prognosis.There were more family histories of gastrointestinal cancer in patients with related indications than in patients without such indications.Conclusions:Single-center data showed that more than 30%of patients with early-stage breast cancer had indications for BRCA genetic testing.There was no prognostic difference in patients with or without indications for BRCA genetic testing.Premenopausal status,high T stage,lymph node positive,ER negative,Ki-67>20%,and presence of a vascular tumor thrombus were associated with poor prognosis.展开更多
High rates of extrapancreatic malignancies,in particular colorectal cancer(CRC),have been detected in patients with intraductal papillary mucinous neoplasm(IPMN).So far,there is no distinct explanation in the literatu...High rates of extrapancreatic malignancies,in particular colorectal cancer(CRC),have been detected in patients with intraductal papillary mucinous neoplasm(IPMN).So far,there is no distinct explanation in the literature for the development of secondary or synchronous malignancies in patients with IPMN.In the past few years,some data related to common genetic alterations in IPMN and other affiliated cancers have been published.This review elucidated the association between IPMN and CRC,shedding light on the most relevant genetic alterations that may explain the possible relationship between these entities.In keeping with our findings,we suggested that once the diagnosis of IPMN is made,special consideration of CRC should be undertaken.Presently,there are no specific guidelines regarding colorectal screening programs for patients with IPMN.We recommend that patients with IPMNs are at high-risk for CRC,and a more rigorous colorectal surveillance program should be implemented.展开更多
Objectives. To investigate the genetic susceptibility for breast cancer of Chinese, a hospital-based case-control study, pedigree survey and molecular genetic study were conducted. Methods. Logistic regression model a...Objectives. To investigate the genetic susceptibility for breast cancer of Chinese, a hospital-based case-control study, pedigree survey and molecular genetic study were conducted. Methods. Logistic regression model and stratification methods were used in the risk factors analysis. Li-Mantel-Gart and Falconer methods were used to analyze the segregation ratio and heritability. Polymerase chain reaction(PCR) and polyacrylamide gel electrophoresis were used to detect AI, G-banding technique was used to detect the chromosome aberration of peripheral blood lymphocyte. Results. Family history of breast cancer is related to enhanced breast cancer risk significantly, OR is 3905(95%CI=1079～1413), and it widely interacts with other risk factors. Accumulative incidence of breast cancer in first degree relatives is 999%, which is larger than that in second, third degree and non-blood relatives. Segregation ratio is 0021, heritability among first degree relatives is 356±58%. Frequencies of LOH at BRCA1 and BRCA2 loci in sporadic breast cancer are 612% and 577% respectively. In the sibs, both of them show LOH at D13S173 locus, and high frequencies of chromosome aberrations were observed. Conclusions. Genetic susceptibility contributes to breast cancer occurrence of Chinese, and its racial variation may be one of the important reasons for the large difference of incidence between western and eastern countries.展开更多
In recent research from the total number of new cancer cases in Africa about 29.46% and in Ethiopia 31.85% are breast cancer cases. 25.84% of all cancer related death is from breast cancer. One of the challenges in th...In recent research from the total number of new cancer cases in Africa about 29.46% and in Ethiopia 31.85% are breast cancer cases. 25.84% of all cancer related death is from breast cancer. One of the challenges in the treatment of breast cancer is early detection. Researchers agreed that, improving the preventive mechanism of breast cancer is an early predicting and detecting model. Research efforts are continuing to present different solution approaches using advanced techniques of Artificial intelligence (AI), Machine learning (ML), Deep Learning (DL), and Computational Intelligence as well. A genetic algorithm is a hyper-parameter optimization algorithm that belongs to the class of evolutionary algorithms. Genetic Algorithm (GA) is used for complex search spaces for search and optimization. This reviewed literature paper shows the positive effect of GA in the diagnosis of breast cancer on AI algorithms.展开更多
Breast cancer is the most common cancer among women worldwide.It has been estimated that about 416000 new cases and over 117000 deaths of breast cancer occurred in China in 2020.Among the new cases of breast cancer di...Breast cancer is the most common cancer among women worldwide.It has been estimated that about 416000 new cases and over 117000 deaths of breast cancer occurred in China in 2020.Among the new cases of breast cancer diagnosed each year,3-10%have distant metastasis at the time of initial diagnosis.In addition,approxi-mately 30%of patients with early-stage breast cancer may eventually experience recurrence or metastases.The 5-year survival rate of patients with advanced breast cancer is only 20%with a median overall survival of 2-3 years.Although advanced breast cancer remains incurable at present,new therapeutic options and multidisci-plinary treatment could be utilized to alleviate symptoms,improve quality of life,and prolong patients’survival.The choice of treatment regimens for patients with advanced breast cancer is very important,and the optimal treatment strategy beyond the first-and second-line therapy is often lacking.Herein,the China Advanced Breast Cancer Guideline Panel discussed and summarized recent clinical evidence,updated the guidelines for the diag-nosis and treatment of advanced breast cancer based on the 2020 edition,and formulated the“Guidelines for diagnosis and treatment of advanced breast cancer in China(2022 edition)”for clinicians’reference.展开更多
乳腺分泌性癌(secretory carcinoma of the breast, SCB)是一种罕见的乳腺恶性肿瘤,约占所有类型乳腺癌的0.02%,ETV6-NTRK3融合基因是其特征性基因改变。尽管多数情况下具有三阴表型,SCB通常预后良好,罕见复发、转移,但相关的分子基因...乳腺分泌性癌(secretory carcinoma of the breast, SCB)是一种罕见的乳腺恶性肿瘤,约占所有类型乳腺癌的0.02%,ETV6-NTRK3融合基因是其特征性基因改变。尽管多数情况下具有三阴表型,SCB通常预后良好,罕见复发、转移,但相关的分子基因组学改变仍未明确。本文报道了1例TERT启动子突变的复发SCB患者的临床资料、组织学特征、免疫表型及分子基因组学改变,并复习相关文献,从而加深对SCB的认识。展开更多
基金The authors extend their appreciation to the Deputyship for Research&Innovation,“Ministry of Education”in Saudi Arabia for funding this research work through the project number (IFKSUDR_D127).
文摘Breast cancer diagnosis through mammography is a pivotal application within medical image-based diagnostics,integral for early detection and effective treatment.While deep learning has significantly advanced the analysis of mammographic images,challenges such as low contrast,image noise,and the high dimensionality of features often degrade model performance.Addressing these challenges,our study introduces a novel method integrating Genetic Algorithms(GA)with pre-trained Convolutional Neural Network(CNN)models to enhance feature selection and classification accuracy.Our approach involves a systematic process:first,we employ widely-used CNN architectures(VGG16,VGG19,MobileNet,and DenseNet)to extract a broad range of features from the Medical Image Analysis Society(MIAS)mammography dataset.Subsequently,a GA optimizes these features by selecting the most relevant and least redundant,aiming to overcome the typical pitfalls of high dimensionality.The selected features are then utilized to train several classifiers,including Linear and Polynomial Support Vector Machines(SVMs),K-Nearest Neighbors,Decision Trees,and Random Forests,enabling a robust evaluation of the method’s effectiveness across varied learning algorithms.Our extensive experimental evaluation demonstrates that the integration of MobileNet and GA significantly improves classification accuracy,from 83.33%to 89.58%,underscoring the method’s efficacy.By detailing these steps,we highlight the innovation of our approach which not only addresses key issues in breast cancer imaging analysis but also offers a scalable solution potentially applicable to other domains within medical imaging.
基金Shanxi Soft Science General Program,No.2018041032-2.
文摘BACKGROUND Multiple primary malignant neoplasms(MPMNs)are rare,while synchronous MPMNs(SMPMNs)are even less common.Owing to the progression of medical technology and the extension of life expectancy,its incidence is gradually increasing.CASE SUMMARY Although reports of breast and thyroid dual cancers are common,cases of an additional diagnosis of kidney primary cancer within the same individual are rare.CONCLUSION We present a case of simultaneous MPMN of three endocrine organs,reviewing the relevant literature to enhance our understanding of SMPMNs while emphasizing the increasingly important need for accurate diagnosis and multidisciplinary management whenever this challenging situation arises.
文摘The aim of this study is to assess the occurrence and type of violence suffered by women with breast cancer in the High Complexity Care Unit of a municipality in the South of Minas and patients in a support group of the University of the South of Minas Gerais. For that aim, a descriptive-exploratory methodology was applied through the quantitative method. Data were collected through a semi-structured form applied in individual interviews over a period of three months. We interviewed 57 patients and among those, 20 women （35.08%） reported having experienced some form of violence at some stage of their life, and the most frequently mentioned was the psychological violence followed by physical aggression. Although it was possible to identify that violence against affected these women, complaints against the aggressor were not affected.
文摘Objective Breast cancer is the most frequently diagnosed cancer in women. Accurate evaluation of the size and extent of the tumor is crucial in selecting a suitable surgical method for patients with breast cancer. Both overestimation and underestimation have important adverse effects on patient care. This study aimed to evaluate the accuracy of breast magnetic resonance imaging(MRI) and ultrasound(US) examination for measuring the size and extent of early-stage breast neoplasms.Methods The longest diameter of breast tumors in patients with T_(1–2)N_(0–1)M_0 invasive breast cancer preparing for breast-conserving surgery(BCS) was measured preoperatively by using both MRI and US and their accuracy was compared with that of postoperative pathologic examination. If the diameter difference was within 2 mm, it was considered to be consistent with pathologic examination.Results A total of 36 patients were imaged using both MRI and US. The mean longest diameter of the tumors on MRI, US, and postoperative pathologic examination was 20.86 mm ± 4.09 mm(range: 11–27 mm), 16.14 mm ± 4.91 mm(range: 6–26 mm), and 18.36 mm ± 3.88 mm(range: 9–24 mm). US examination underestimated the size of the tumor compared to that determined using pathologic examination(t = 3.49, P < 0.01), while MRI overestimated it(t =-6.35, P < 0.01). The linear correlation coefficients between the image measurements and pathologic tumor size were r = 0.826(P < 0.01) for MRI and r = 0.645(P < 0.01) for US. The rate of consistency of MRI and US compared to that with pathologic examination was 88.89% and 80.65%, respectively, and there was no statistically significant difference between them(χ~2 = 0.80, P > 0.05).Conclusion MRI and US are both effective methods to assess the size of breast tumors, and they maintain good consistency with pathologic examination. MRI has a better correlation with pathology. However, we should be careful about the risk of inaccurate size estimation.
文摘Clinical testing of patients for hereditary breast and ovarian cancer syndromes began in the mid-1990s with the identification of the BRCA1 and BRCA2 genes.Since then,mutations in dozens of other genes have been correlated to increased breast,ovarian,and other cancer risk.The following decades of data collection and patient advocacy allowed for improvements in medical,legal,social,and ethical advances in genetic testing.Technological advances have made it possible to sequence multiple genes at once in a panel to give patients a more thorough evaluation of their personal cancer risk.Panel testing increases the detection of mutations that lead to increased risk of breast,ovarian,and other cancers and can better guide individualized screening measures compared to limited BRCA testing alone.At the same time,multi-gene panel testing is more time-and cost-efficient.While the clinical application of panel testing is in its infancy,many problems arise such as lack of guidelines for management of newly identified gene mutations,high rates of variants of uncertain significance,and limited ability to screen for some cancers.Through on-going concerted efforts of pooled data collection and analysis,it is likely that the benefits of multi-gene panel testing will outweigh the risks in the near future.
基金supported by the National Natural Science Foundation of China(No.81102115)2012 Chinese Nutrition Society(CNS)Nutrition Research Foundation-DSM Research Fund
文摘The present study was designed to examine the contributions of the fatty acid elongase （ELOVL） gene polymorphisms to the levels of polyunsaturated fatty acids （PUFAs） in breast milk. Two hundred and nine healthy Han Chinese mothers were included in the study. Carriers of minor alleles of SNPs （rs2397142 and rs9357760） in ELOVL5 were associated with higher levels of linoleic acid （LA）, dihomo-γ-linolenic acid （DGLA）, arachidonic acid （AA）, docosatetraenoic acid （DTA）, docosahexenoic acid （DHA）, while in rs209512 of ELOVL5 the carriers of minor alleles had lower levels of DTA compared to major homozygote alleles （P ranged from 0.004-0.046）, and genetically explained variability ranged from 3.2% for eicosapentaenoic acid （EPA） to 6.0% for LA. Our findings demonstrated that common variation in ELOVL5 gene encoding rate-limiting enzymes in the metabolism of PUFAs contribute to the PUFAs in breast milk.
文摘Objective:To investigate the clinicopathological characteristics and prognostic factors of early-stage breast cancer patients with indications for breast cancer susceptibility genes 1/2(BRCA1/2)genetic testing in China.Methods:Based on the indication criteria for BRCA genetic testing specified in the National Comprehensive Cancer Network(NCCN)clinical practice guidelines in oncology,genetic/familial high-risk assessment:Breast and ovarian(Version 2.2019),a retrospective analysis was performed on patients with early-stage invasive breast cancer treated at Breast Disease Center,Peking University First Hospital between January 2008 and December 2016.Clinicopathological characteristics of all patients were analyzed,and prognoses were calculated using the KaplanMeier method and a Cox proportionate hazards model.Results:A total of 906 early-stage breast cancer patients who had indications for BRCA genetic testing and had complete clinicopathological data and follow-up information were included in the study group,accounting for34.7%of all breast cancer patients treated in Breast Disease Center,Peking University First Hospital during the study period.Compared with breast cancer patients without indications for BRCA genetic testing,the overall survival(OS)and disease-free survival(DFS)of patients with indications were not significantly different.In the study group,patients with premenopausal status,high T stage,lymph node positive,estrogen receptor(ER)negative,Ki-67>20%and presence of a vascular tumor thrombus had worse prognosis.There were more family histories of gastrointestinal cancer in patients with related indications than in patients without such indications.Conclusions:Single-center data showed that more than 30%of patients with early-stage breast cancer had indications for BRCA genetic testing.There was no prognostic difference in patients with or without indications for BRCA genetic testing.Premenopausal status,high T stage,lymph node positive,ER negative,Ki-67>20%,and presence of a vascular tumor thrombus were associated with poor prognosis.
文摘High rates of extrapancreatic malignancies,in particular colorectal cancer(CRC),have been detected in patients with intraductal papillary mucinous neoplasm(IPMN).So far,there is no distinct explanation in the literature for the development of secondary or synchronous malignancies in patients with IPMN.In the past few years,some data related to common genetic alterations in IPMN and other affiliated cancers have been published.This review elucidated the association between IPMN and CRC,shedding light on the most relevant genetic alterations that may explain the possible relationship between these entities.In keeping with our findings,we suggested that once the diagnosis of IPMN is made,special consideration of CRC should be undertaken.Presently,there are no specific guidelines regarding colorectal screening programs for patients with IPMN.We recommend that patients with IPMNs are at high-risk for CRC,and a more rigorous colorectal surveillance program should be implemented.
文摘Objectives. To investigate the genetic susceptibility for breast cancer of Chinese, a hospital-based case-control study, pedigree survey and molecular genetic study were conducted. Methods. Logistic regression model and stratification methods were used in the risk factors analysis. Li-Mantel-Gart and Falconer methods were used to analyze the segregation ratio and heritability. Polymerase chain reaction(PCR) and polyacrylamide gel electrophoresis were used to detect AI, G-banding technique was used to detect the chromosome aberration of peripheral blood lymphocyte. Results. Family history of breast cancer is related to enhanced breast cancer risk significantly, OR is 3905(95%CI=1079～1413), and it widely interacts with other risk factors. Accumulative incidence of breast cancer in first degree relatives is 999%, which is larger than that in second, third degree and non-blood relatives. Segregation ratio is 0021, heritability among first degree relatives is 356±58%. Frequencies of LOH at BRCA1 and BRCA2 loci in sporadic breast cancer are 612% and 577% respectively. In the sibs, both of them show LOH at D13S173 locus, and high frequencies of chromosome aberrations were observed. Conclusions. Genetic susceptibility contributes to breast cancer occurrence of Chinese, and its racial variation may be one of the important reasons for the large difference of incidence between western and eastern countries.
文摘In recent research from the total number of new cancer cases in Africa about 29.46% and in Ethiopia 31.85% are breast cancer cases. 25.84% of all cancer related death is from breast cancer. One of the challenges in the treatment of breast cancer is early detection. Researchers agreed that, improving the preventive mechanism of breast cancer is an early predicting and detecting model. Research efforts are continuing to present different solution approaches using advanced techniques of Artificial intelligence (AI), Machine learning (ML), Deep Learning (DL), and Computational Intelligence as well. A genetic algorithm is a hyper-parameter optimization algorithm that belongs to the class of evolutionary algorithms. Genetic Algorithm (GA) is used for complex search spaces for search and optimization. This reviewed literature paper shows the positive effect of GA in the diagnosis of breast cancer on AI algorithms.
基金supported by the CAMS Innovation Fund for Med-ical Sciences(grant number:2021-I2M-1-014).
文摘Breast cancer is the most common cancer among women worldwide.It has been estimated that about 416000 new cases and over 117000 deaths of breast cancer occurred in China in 2020.Among the new cases of breast cancer diagnosed each year,3-10%have distant metastasis at the time of initial diagnosis.In addition,approxi-mately 30%of patients with early-stage breast cancer may eventually experience recurrence or metastases.The 5-year survival rate of patients with advanced breast cancer is only 20%with a median overall survival of 2-3 years.Although advanced breast cancer remains incurable at present,new therapeutic options and multidisci-plinary treatment could be utilized to alleviate symptoms,improve quality of life,and prolong patients’survival.The choice of treatment regimens for patients with advanced breast cancer is very important,and the optimal treatment strategy beyond the first-and second-line therapy is often lacking.Herein,the China Advanced Breast Cancer Guideline Panel discussed and summarized recent clinical evidence,updated the guidelines for the diag-nosis and treatment of advanced breast cancer based on the 2020 edition,and formulated the“Guidelines for diagnosis and treatment of advanced breast cancer in China(2022 edition)”for clinicians’reference.
文摘乳腺分泌性癌(secretory carcinoma of the breast, SCB)是一种罕见的乳腺恶性肿瘤,约占所有类型乳腺癌的0.02%,ETV6-NTRK3融合基因是其特征性基因改变。尽管多数情况下具有三阴表型,SCB通常预后良好,罕见复发、转移,但相关的分子基因组学改变仍未明确。本文报道了1例TERT启动子突变的复发SCB患者的临床资料、组织学特征、免疫表型及分子基因组学改变,并复习相关文献,从而加深对SCB的认识。
