A novel approach to image hemoglobin concentration（△Dhb） and oxygen saturation （△Doxy） of breast tissue is presented. The scenograph of dual-wavelength （760 and 850 nm） near infrared lights through breast tiss...A novel approach to image hemoglobin concentration（△Dhb） and oxygen saturation （△Doxy） of breast tissue is presented. The scenograph of dual-wavelength （760 and 850 nm） near infrared lights through breast tissue is acquired by high sensitive charge coupled device （CCD） camera. The evaluation criterion of the difference of △Dhh and △Doxy between detected and referenced breast tissue can be obtained by a calculation formula without complicate caculation. This approach is applied to clinic detection in breast tissue. The ongoing clinical experiments indicate that malignant tumor usually exhibits characterize of ＂higher △Dhb and lower △Doxy＂, while benign lesion often shows ＂lower △Dhb and higher △Doxy＂ or other characters. So it is useful to assist the diagnosis of breast disease.展开更多
Breast cancer is the most common malignant tumor that threatens women’s health. Breast magnetic resonance imaging (MRI) is a commonly used method recommended for the diagnosis of breast cancer. Diffusion weighted ima...Breast cancer is the most common malignant tumor that threatens women’s health. Breast magnetic resonance imaging (MRI) is a commonly used method recommended for the diagnosis of breast cancer. Diffusion weighted imaging (DWI) and dynamic enhanced magnetic resonance imaging (DCE-MRI) are now widely used. At present, with the continuous advancement of magnetic resonance technology, Magnetic resonance spectroscopy (MRS), Perfusion weighted imaging (PWI), Positron emission tomography-magnetic resonance imaging (PET-MRI) and so on are gradually being used in clinical practice. Mammography imaging and imaging genomics are hot topics. This article will briefly introduce several functional magnetic resonance techniques and their latest applications.展开更多
Nuclearmagnetic resonance imaging of breasts often presents complex backgrounds.Breast tumors exhibit varying sizes,uneven intensity,and indistinct boundaries.These characteristics can lead to challenges such as low a...Nuclearmagnetic resonance imaging of breasts often presents complex backgrounds.Breast tumors exhibit varying sizes,uneven intensity,and indistinct boundaries.These characteristics can lead to challenges such as low accuracy and incorrect segmentation during tumor segmentation.Thus,we propose a two-stage breast tumor segmentation method leveraging multi-scale features and boundary attention mechanisms.Initially,the breast region of interest is extracted to isolate the breast area from surrounding tissues and organs.Subsequently,we devise a fusion network incorporatingmulti-scale features and boundary attentionmechanisms for breast tumor segmentation.We incorporate multi-scale parallel dilated convolution modules into the network,enhancing its capability to segment tumors of various sizes through multi-scale convolution and novel fusion techniques.Additionally,attention and boundary detection modules are included to augment the network’s capacity to locate tumors by capturing nonlocal dependencies in both spatial and channel domains.Furthermore,a hybrid loss function with boundary weight is employed to address sample class imbalance issues and enhance the network’s boundary maintenance capability through additional loss.Themethod was evaluated using breast data from 207 patients at RuijinHospital,resulting in a 6.64%increase in Dice similarity coefficient compared to the benchmarkU-Net.Experimental results demonstrate the superiority of the method over other segmentation techniques,with fewer model parameters.展开更多
In this paper,a novel hybrid texture feature set and fractional derivative filter-based breast cancer detection model is introduced.This paper also introduces the application of a histogram of linear bipolar pattern f...In this paper,a novel hybrid texture feature set and fractional derivative filter-based breast cancer detection model is introduced.This paper also introduces the application of a histogram of linear bipolar pattern features(HLBP)for breast thermogram classification.Initially,breast tissues are separated by masking operation and filtered by Gr¨umwald–Letnikov fractional derivative-based Sobel mask to enhance the texture and rectify the noise.A novel hybrid feature set usingHLBP and other statistical feature sets is derived and reduced by principal component analysis.Radial basis function kernel-based support vector machine is employed for detecting the abnormality in the thermogram.The performance parameters are calculated using five-fold cross-validation scheme using MATLAB 2015a simulation software.The proposedmodel achieves the classification accuracy,sensitivity,specificity,and area under the curve of 94.44%,95.55%,92.22%,96.11%,respectively.A comparative investigation of different texture features with respect to fractional orderαto classify the breast malignancy is also presented.The proposed model is also compared with a few existing state-of-art schemes which verifies the efficacy of the model.Fractional orderαoffers extra adaptability in overcoming the limitations of thermal imaging techniques and assists radiologists in prior breast cancer detection.The proposed model is more generalized which can be used with different thermal image acquisition protocols and IoT based applications.展开更多
乳腺癌已发展为全球第一大癌,随着诊治手段的进步,乳腺癌患者生存时间不断延长,但抗肿瘤治疗会引发心脏相关并发症,出现癌症治疗相关心功能障碍(cancer therapy related cardiac dysfunction,CTRCD)。CTRCD始于亚临床心肌细胞损伤,最终...乳腺癌已发展为全球第一大癌,随着诊治手段的进步,乳腺癌患者生存时间不断延长,但抗肿瘤治疗会引发心脏相关并发症,出现癌症治疗相关心功能障碍(cancer therapy related cardiac dysfunction,CTRCD)。CTRCD始于亚临床心肌细胞损伤,最终发展为有症状的心力衰竭。因此,准确评估CTRCD的发生和严重程度对于肿瘤患者的治疗和康复至关重要。随着医疗技术的不断进步,心脏影像学成为评估和管理心脏健康的关键工具,包括超声心动图、心脏计算机断层扫描(cardiac computed tomography,CCT)、心脏磁共振成像(cardiac magnetic resonance imaging,CMRI)等,在提供心脏结构和功能信息的基础上,组织特定性成像、应变成像、灌注成像等在早期识别和评估CTRCD中发挥关键作用。本文就不同影像检查技术在乳腺癌患者化疗后心功能障碍研究中的进展进行文献综述,重点论述磁共振技术在此方面的进展,以期为早期检测CTRCD提供更为精确的影像生物信息。展开更多
目的利用静息态功能MRI探讨δ-连环蛋白(catenin)不同表达状态的乳腺癌患者采用蒽环联合环磷酰胺(anthracyclines cyclophosphamide,AC)化疗方案2个周期后的脑认知功能改变。材料与方法前瞻性收集66例经病理证实乳腺癌并首次进行标准化...目的利用静息态功能MRI探讨δ-连环蛋白(catenin)不同表达状态的乳腺癌患者采用蒽环联合环磷酰胺(anthracyclines cyclophosphamide,AC)化疗方案2个周期后的脑认知功能改变。材料与方法前瞻性收集66例经病理证实乳腺癌并首次进行标准化化疗患者,根据组织血清δ-catenin水平,分为δ-catenin高表达组31例和低表达组35例,同时收集健康对照(healthy control,HC)组36例。所有受试者在化疗前及2个化疗周期后进行神经心理学评分并行脑静息态功能MRI、3D-T1加权成像,分析脑静息态功能MRI指标,包括低频振幅(amplitude of low frequency fluctuation,ALFF)值、分数低频振幅(fractional amplitude of low frequency fluctuation,fALFF)值、局部一致性(regional homogeneity,ReHo)值,并对患者化疗前后神经心理学评分以及脑静息态功能MRI指标进行对比分析。结果化疗前δ-catenin高表达组人表皮生长因子受体2(human epidermal growth factor receptor 2,HER-2)显著高于低表达组,差异有统计学意义(P<0.05)。乳腺癌患者化疗前后神经心理学评分显示,δ-catenin高表达组患者化疗后癌症治疗认知功能评估(Functional Assessment of Cancer Therapy-Cognitive,FACT-Cog)总分、感知认知能力(Perceived Cognitive Abilities,PCA)、简易智力状态检查评分(Mini Mental State Examination,MMSE)、蒙特利尔认知评估评分(Montreal Cognitive Assessment,MOCA)、数字符号转化测验(Digital Symbol Substitution Test,DSST)以及中文听觉词语学习测验(Auditory Verbal Learning Test,AVLT)、数字连线实验B(Line-B)评分较化疗前差异有统计学意义,而低表达组只有AVLT-长时记忆(AVLT-long)评分差异有统计学意义(P均<0.05)。与化疗前相比,化疗2周期后部分脑区ALFF及ReHo值改变差异有统计学意义(P<0.05)。δ-catenin低表达组患者化疗后右侧前扣带和旁扣带脑回ALFF值下降,而δ-catenin高表达组右侧小脑半球4-5区、双侧脑岛、左侧舌回化疗后ALFF值下降。ReHo指标中,δ-catenin低表达组患者化疗后左侧眶部额下回ReHo值下降;而δ-catenin高表达组则左侧缘上回、左侧三角部额下回ReHo值下降(P均<0.05)。结论δ-catenin高表达进一步加重化疗对乳腺癌患者脑认知功能的损伤,主要涉及执行认知功能调控等相关脑区。展开更多
The diagnosis and the management of breast cancer(BC)affect in a complex way women’s sexual lives and touch the symbol of femininity,which is very important in the constitution of the body image.Our objectives were t...The diagnosis and the management of breast cancer(BC)affect in a complex way women’s sexual lives and touch the symbol of femininity,which is very important in the constitution of the body image.Our objectives were to assess the sexual functioning and the body image of patients in remission of localized BC,to determine the links between these two parameters,and to study their relationship with the therapeutic modalities.We conducted a cross-sectional,descriptive,and analytical study in the medical oncology and radiotherapy departments of Habib Bourguiba University Hospital Center in Sfax(Tunisia),between February and August 2022.Patients were assessed based on a clinical information sheet and two psychometric scales exploring sexual functioning and body image:Female Sexual Function Index(FSFI)and Body Image Scale(BIS).The sample comprised 74 patients with a mean age of 51.55 years.They were treated by conservative or radical surgery(44.6%and 55.4%,respectively),chemotherapy(87.8%),hormone therapy(79.7%),targeted therapies(36.5%),and radiotherapy(97.3%).A rate of 51.4%of women had sexual dysfunction(SD),87.8%had hypoactive sexual desire and 36.5%had body image disorder.The body image disorder was significantly associated with DS(p=0.001).The total FSFI score(p=0.001)as well as the subscores of desire(p=0.005),arousal(p=0.003),orgasm(p=0.002),satisfaction(p<0.001),and pain(0.03)were significantly lower in patients with body image disorder.The presence of a SD was not associated with any therapeutic modality.In contrast,the presence of body image disorder was significantly associated with the radical type of surgery(p=0.003)and chemotherapy(p=0.001).Our results showed a relatively high frequency of SD and body image disorder in women in remission from BC.These two parameters seem to be closely linked,and this link would be maintained by mastectomy and chemotherapy,which appear to be therapeutic modalities incriminated in the disturbance of body image.Hence the importance of medical follow-up and psychological support for these operated patients to help them overcome all the physical,psychological,and sexual difficulties to which they are exposed.展开更多
文摘A novel approach to image hemoglobin concentration（△Dhb） and oxygen saturation （△Doxy） of breast tissue is presented. The scenograph of dual-wavelength （760 and 850 nm） near infrared lights through breast tissue is acquired by high sensitive charge coupled device （CCD） camera. The evaluation criterion of the difference of △Dhh and △Doxy between detected and referenced breast tissue can be obtained by a calculation formula without complicate caculation. This approach is applied to clinic detection in breast tissue. The ongoing clinical experiments indicate that malignant tumor usually exhibits characterize of ＂higher △Dhb and lower △Doxy＂, while benign lesion often shows ＂lower △Dhb and higher △Doxy＂ or other characters. So it is useful to assist the diagnosis of breast disease.
文摘Breast cancer is the most common malignant tumor that threatens women’s health. Breast magnetic resonance imaging (MRI) is a commonly used method recommended for the diagnosis of breast cancer. Diffusion weighted imaging (DWI) and dynamic enhanced magnetic resonance imaging (DCE-MRI) are now widely used. At present, with the continuous advancement of magnetic resonance technology, Magnetic resonance spectroscopy (MRS), Perfusion weighted imaging (PWI), Positron emission tomography-magnetic resonance imaging (PET-MRI) and so on are gradually being used in clinical practice. Mammography imaging and imaging genomics are hot topics. This article will briefly introduce several functional magnetic resonance techniques and their latest applications.
基金funded by the National Natural Foundation of China under Grant No.61172167the Science Fund Project of Heilongjiang Province(LH2020F035).
文摘Nuclearmagnetic resonance imaging of breasts often presents complex backgrounds.Breast tumors exhibit varying sizes,uneven intensity,and indistinct boundaries.These characteristics can lead to challenges such as low accuracy and incorrect segmentation during tumor segmentation.Thus,we propose a two-stage breast tumor segmentation method leveraging multi-scale features and boundary attention mechanisms.Initially,the breast region of interest is extracted to isolate the breast area from surrounding tissues and organs.Subsequently,we devise a fusion network incorporatingmulti-scale features and boundary attentionmechanisms for breast tumor segmentation.We incorporate multi-scale parallel dilated convolution modules into the network,enhancing its capability to segment tumors of various sizes through multi-scale convolution and novel fusion techniques.Additionally,attention and boundary detection modules are included to augment the network’s capacity to locate tumors by capturing nonlocal dependencies in both spatial and channel domains.Furthermore,a hybrid loss function with boundary weight is employed to address sample class imbalance issues and enhance the network’s boundary maintenance capability through additional loss.Themethod was evaluated using breast data from 207 patients at RuijinHospital,resulting in a 6.64%increase in Dice similarity coefficient compared to the benchmarkU-Net.Experimental results demonstrate the superiority of the method over other segmentation techniques,with fewer model parameters.
基金Praveen Agarwal,thanks to the SERB(Project TAR/2018/000001)DST(Projects DST/INT/DAAD/P-21/2019 and INT/RUS/RFBR/308)NBHM(DAE)(Project 02011/12/2020 NBHM(R.P)/RD II/7867).
文摘In this paper,a novel hybrid texture feature set and fractional derivative filter-based breast cancer detection model is introduced.This paper also introduces the application of a histogram of linear bipolar pattern features(HLBP)for breast thermogram classification.Initially,breast tissues are separated by masking operation and filtered by Gr¨umwald–Letnikov fractional derivative-based Sobel mask to enhance the texture and rectify the noise.A novel hybrid feature set usingHLBP and other statistical feature sets is derived and reduced by principal component analysis.Radial basis function kernel-based support vector machine is employed for detecting the abnormality in the thermogram.The performance parameters are calculated using five-fold cross-validation scheme using MATLAB 2015a simulation software.The proposedmodel achieves the classification accuracy,sensitivity,specificity,and area under the curve of 94.44%,95.55%,92.22%,96.11%,respectively.A comparative investigation of different texture features with respect to fractional orderαto classify the breast malignancy is also presented.The proposed model is also compared with a few existing state-of-art schemes which verifies the efficacy of the model.Fractional orderαoffers extra adaptability in overcoming the limitations of thermal imaging techniques and assists radiologists in prior breast cancer detection.The proposed model is more generalized which can be used with different thermal image acquisition protocols and IoT based applications.
文摘乳腺癌已发展为全球第一大癌,随着诊治手段的进步,乳腺癌患者生存时间不断延长,但抗肿瘤治疗会引发心脏相关并发症,出现癌症治疗相关心功能障碍(cancer therapy related cardiac dysfunction,CTRCD)。CTRCD始于亚临床心肌细胞损伤,最终发展为有症状的心力衰竭。因此,准确评估CTRCD的发生和严重程度对于肿瘤患者的治疗和康复至关重要。随着医疗技术的不断进步,心脏影像学成为评估和管理心脏健康的关键工具,包括超声心动图、心脏计算机断层扫描(cardiac computed tomography,CCT)、心脏磁共振成像(cardiac magnetic resonance imaging,CMRI)等,在提供心脏结构和功能信息的基础上,组织特定性成像、应变成像、灌注成像等在早期识别和评估CTRCD中发挥关键作用。本文就不同影像检查技术在乳腺癌患者化疗后心功能障碍研究中的进展进行文献综述,重点论述磁共振技术在此方面的进展,以期为早期检测CTRCD提供更为精确的影像生物信息。
文摘目的利用静息态功能MRI探讨δ-连环蛋白(catenin)不同表达状态的乳腺癌患者采用蒽环联合环磷酰胺(anthracyclines cyclophosphamide,AC)化疗方案2个周期后的脑认知功能改变。材料与方法前瞻性收集66例经病理证实乳腺癌并首次进行标准化化疗患者,根据组织血清δ-catenin水平,分为δ-catenin高表达组31例和低表达组35例,同时收集健康对照(healthy control,HC)组36例。所有受试者在化疗前及2个化疗周期后进行神经心理学评分并行脑静息态功能MRI、3D-T1加权成像,分析脑静息态功能MRI指标,包括低频振幅(amplitude of low frequency fluctuation,ALFF)值、分数低频振幅(fractional amplitude of low frequency fluctuation,fALFF)值、局部一致性(regional homogeneity,ReHo)值,并对患者化疗前后神经心理学评分以及脑静息态功能MRI指标进行对比分析。结果化疗前δ-catenin高表达组人表皮生长因子受体2(human epidermal growth factor receptor 2,HER-2)显著高于低表达组,差异有统计学意义(P<0.05)。乳腺癌患者化疗前后神经心理学评分显示,δ-catenin高表达组患者化疗后癌症治疗认知功能评估(Functional Assessment of Cancer Therapy-Cognitive,FACT-Cog)总分、感知认知能力(Perceived Cognitive Abilities,PCA)、简易智力状态检查评分(Mini Mental State Examination,MMSE)、蒙特利尔认知评估评分(Montreal Cognitive Assessment,MOCA)、数字符号转化测验(Digital Symbol Substitution Test,DSST)以及中文听觉词语学习测验(Auditory Verbal Learning Test,AVLT)、数字连线实验B(Line-B)评分较化疗前差异有统计学意义,而低表达组只有AVLT-长时记忆(AVLT-long)评分差异有统计学意义(P均<0.05)。与化疗前相比,化疗2周期后部分脑区ALFF及ReHo值改变差异有统计学意义(P<0.05)。δ-catenin低表达组患者化疗后右侧前扣带和旁扣带脑回ALFF值下降,而δ-catenin高表达组右侧小脑半球4-5区、双侧脑岛、左侧舌回化疗后ALFF值下降。ReHo指标中,δ-catenin低表达组患者化疗后左侧眶部额下回ReHo值下降;而δ-catenin高表达组则左侧缘上回、左侧三角部额下回ReHo值下降(P均<0.05)。结论δ-catenin高表达进一步加重化疗对乳腺癌患者脑认知功能的损伤,主要涉及执行认知功能调控等相关脑区。
文摘The diagnosis and the management of breast cancer(BC)affect in a complex way women’s sexual lives and touch the symbol of femininity,which is very important in the constitution of the body image.Our objectives were to assess the sexual functioning and the body image of patients in remission of localized BC,to determine the links between these two parameters,and to study their relationship with the therapeutic modalities.We conducted a cross-sectional,descriptive,and analytical study in the medical oncology and radiotherapy departments of Habib Bourguiba University Hospital Center in Sfax(Tunisia),between February and August 2022.Patients were assessed based on a clinical information sheet and two psychometric scales exploring sexual functioning and body image:Female Sexual Function Index(FSFI)and Body Image Scale(BIS).The sample comprised 74 patients with a mean age of 51.55 years.They were treated by conservative or radical surgery(44.6%and 55.4%,respectively),chemotherapy(87.8%),hormone therapy(79.7%),targeted therapies(36.5%),and radiotherapy(97.3%).A rate of 51.4%of women had sexual dysfunction(SD),87.8%had hypoactive sexual desire and 36.5%had body image disorder.The body image disorder was significantly associated with DS(p=0.001).The total FSFI score(p=0.001)as well as the subscores of desire(p=0.005),arousal(p=0.003),orgasm(p=0.002),satisfaction(p<0.001),and pain(0.03)were significantly lower in patients with body image disorder.The presence of a SD was not associated with any therapeutic modality.In contrast,the presence of body image disorder was significantly associated with the radical type of surgery(p=0.003)and chemotherapy(p=0.001).Our results showed a relatively high frequency of SD and body image disorder in women in remission from BC.These two parameters seem to be closely linked,and this link would be maintained by mastectomy and chemotherapy,which appear to be therapeutic modalities incriminated in the disturbance of body image.Hence the importance of medical follow-up and psychological support for these operated patients to help them overcome all the physical,psychological,and sexual difficulties to which they are exposed.
