Objective: Accurate detection and classification of breast lesions in early stage is crucial to timely formulate effective treatments for patients. We aim to develop a fully automatic system to detect and classify bre...Objective: Accurate detection and classification of breast lesions in early stage is crucial to timely formulate effective treatments for patients. We aim to develop a fully automatic system to detect and classify breast lesions using multiple contrast-enhanced mammography(CEM) images.Methods: In this study, a total of 1,903 females who underwent CEM examination from three hospitals were enrolled as the training set, internal testing set, pooled external testing set and prospective testing set. Here we developed a CEM-based multiprocess detection and classification system(MDCS) to perform the task of detection and classification of breast lesions. In this system, we introduced an innovative auxiliary feature fusion(AFF)algorithm that could intelligently incorporates multiple types of information from CEM images. The average freeresponse receiver operating characteristic score(AFROC-Score) was presented to validate system’s detection performance, and the performance of classification was evaluated by area under the receiver operating characteristic curve(AUC). Furthermore, we assessed the diagnostic value of MDCS through visual analysis of disputed cases,comparing its performance and efficiency with that of radiologists and exploring whether it could augment radiologists’ performance.Results: On the pooled external and prospective testing sets, MDCS always maintained a high standalone performance, with AFROC-Scores of 0.953 and 0.963 for detection task, and AUCs for classification were 0.909[95% confidence interval(95% CI): 0.822-0.996] and 0.912(95% CI: 0.840-0.985), respectively. It also achieved higher sensitivity than all senior radiologists and higher specificity than all junior radiologists on pooled external and prospective testing sets. Moreover, MDCS performed superior diagnostic efficiency with an average reading time of 5 seconds, compared to the radiologists’ average reading time of 3.2 min. The average performance of all radiologists was also improved to varying degrees with MDCS assistance.Conclusions: MDCS demonstrated excellent performance in the detection and classification of breast lesions,and greatly enhanced the overall performance of radiologists.展开更多
Breast pathology is varied, bringing together tumor and non-tumor lesions. Objective: To study the contribution of the ultrasound-mammography pair in the diagnosis of breast pathologies. Materials and Method: This was...Breast pathology is varied, bringing together tumor and non-tumor lesions. Objective: To study the contribution of the ultrasound-mammography pair in the diagnosis of breast pathologies. Materials and Method: This was a retrospective descriptive study, carried out over a period of 3 years (from January 2018 to December 2020) at the Diagnostic Imaging Center (C.I.D) “TERIYA” in BAMAKO. It concerned all patients who came for a mammogram/ultrasound examination of the breast. All women admitted for mammogram or breast ultrasound who were diagnosed with a breast injury during the study period were included. Incomplete records and radiological checks were not included. The variables analyzed were age, sex, clinical data, and ultrasound and mammography aspects. The devices used are: a Voluson 730 PRO ultrasound machine and a G 600T type mammography machine. Results: At the end of our study, we collected 254 breast pathologies on a number of 382 women, i.e. a frequency of 66.49%. The average age of our patients was 41 years old. The dominant clinical data were mastodynia (41.88%) and mammary nodule (21.70%). On imaging (mammo-ultrasound) the lesions predominated on the left in 36% of cases, bilateral in 28% of cases and in the upper-outer quadrants in 31.5% of cases. Tumor pathologies represented 66.54% of which 45.27% were benign mainly composed of fibro-adenoma (20.88%) and cyst (18.50%), 11.8% of suspected cases and 9.45% of cancers. Non-tumor pathologies represented 33.46%, mainly mastitis (16.14%), galactophoric dilations (11.02%) and abscesses (5.51%). These pathologies were classified in 50.3% in ACR2, 17.75% in ACR3 and 4, and in 14.20% in ACR5. Lymphadenopathy was present in 73.21% of cases.展开更多
乳腺导管原位癌(ductal carcinoma in situ,DCIS)是一种局限于乳腺终末导管,未突破基底膜的乳腺癌病理类型,与浸润性导管癌(invasive ductal carcinoma,IDC)关系密切,被认为是其前驱病变。当DCIS突破基底膜侵入周围组织可形成浸润灶,若...乳腺导管原位癌(ductal carcinoma in situ,DCIS)是一种局限于乳腺终末导管,未突破基底膜的乳腺癌病理类型,与浸润性导管癌(invasive ductal carcinoma,IDC)关系密切,被认为是其前驱病变。当DCIS突破基底膜侵入周围组织可形成浸润灶,若单个浸润灶最大径线小于1 mm或多个浸润灶中最大者径线小于1 mm时,即定义为导管原位癌伴微浸润(ductal carcinoma in situ with microinvasion,DCIS-Mi),12%~40%未经治疗和干预的DCIS会进展为IDC,DCIS和IDC可同时存在;但也有相当一部分DCIS始终不会进展,预后相对较好,DCIS的过度诊断和治疗成为目前的关注点。DCIS的组织学分级主要依据细胞核的形态分为低、中、高3个核级,受体的表达情况、分子分型的分布在DCIS、DCIS-Mi和IDC之间也存在着显著差异。伴或不伴微浸润及不同组织学分级的DCIS的临床处理方式、治疗方案、预后及患者风险收益情况有较大差别,也一直存在较多争议。现代影像学技术的发展初步实现了对其组织学分级、浸润情况及患者预后的评估。目前临床上最常用的乳腺影像学检查技术主要有钼靶X线摄影(mammography,MG)、超声和磁共振成像(magnetic resonance imaging,MRI)等,3种检查技术的成像原理不同,在乳腺疾病影像诊断中各有优势和不足,但又可互为补充,在病变诊断、治疗及预后评估中发挥着重要的作用。乳腺钼靶X线摄影具有安全可靠、重复性好的优点,是国际指南推荐的首选的乳腺癌筛查方式,DCIS在钼靶X线片上的主要表现可分为非钙化型病变和钙化型病变;在超声上主要表现为肿块型和非肿块型病变,后者又可分为低回声改变、钙化、导管改变和结构紊乱扭曲等;MRI对不伴钙化及多灶性DCIS的检出比钼靶X线摄影敏感性更高,对病变范围的评估准确性更高,但也存在诊断特异性不高、对微钙化显示不敏感等不足;此外,影像组学在DCIS的组织病理学评估预测及指导个体化精准治疗方面潜力巨大。在当前精准医疗时代,影像学特征、组织病理学检查结果、基因检测结果等在预测患者预后方面的价值日益显现,DCIS的早期精确诊断及明确分子分型在临床工作中亦极为重要。通过分子分型、组织学分级和影像表现来预测不同治疗可能带来的获益,以制订最合适的个体化治疗方案已成为目前临床治疗的共识。本文就DCIS的影像学表现与分子分型、组织病理学及预后方面的相关性研究新进展进行综述。展开更多
基金supported by the National Natural Science Foundation of China (No.82001775, 82371933)the Natural Science Foundation of Shandong Province of China (No.ZR2021MH120)+1 种基金the Special Fund for Breast Disease Research of Shandong Medical Association (No.YXH2021ZX055)the Taishan Scholar Foundation of Shandong Province of China (No.tsgn202211378)。
文摘Objective: Accurate detection and classification of breast lesions in early stage is crucial to timely formulate effective treatments for patients. We aim to develop a fully automatic system to detect and classify breast lesions using multiple contrast-enhanced mammography(CEM) images.Methods: In this study, a total of 1,903 females who underwent CEM examination from three hospitals were enrolled as the training set, internal testing set, pooled external testing set and prospective testing set. Here we developed a CEM-based multiprocess detection and classification system(MDCS) to perform the task of detection and classification of breast lesions. In this system, we introduced an innovative auxiliary feature fusion(AFF)algorithm that could intelligently incorporates multiple types of information from CEM images. The average freeresponse receiver operating characteristic score(AFROC-Score) was presented to validate system’s detection performance, and the performance of classification was evaluated by area under the receiver operating characteristic curve(AUC). Furthermore, we assessed the diagnostic value of MDCS through visual analysis of disputed cases,comparing its performance and efficiency with that of radiologists and exploring whether it could augment radiologists’ performance.Results: On the pooled external and prospective testing sets, MDCS always maintained a high standalone performance, with AFROC-Scores of 0.953 and 0.963 for detection task, and AUCs for classification were 0.909[95% confidence interval(95% CI): 0.822-0.996] and 0.912(95% CI: 0.840-0.985), respectively. It also achieved higher sensitivity than all senior radiologists and higher specificity than all junior radiologists on pooled external and prospective testing sets. Moreover, MDCS performed superior diagnostic efficiency with an average reading time of 5 seconds, compared to the radiologists’ average reading time of 3.2 min. The average performance of all radiologists was also improved to varying degrees with MDCS assistance.Conclusions: MDCS demonstrated excellent performance in the detection and classification of breast lesions,and greatly enhanced the overall performance of radiologists.
文摘Breast pathology is varied, bringing together tumor and non-tumor lesions. Objective: To study the contribution of the ultrasound-mammography pair in the diagnosis of breast pathologies. Materials and Method: This was a retrospective descriptive study, carried out over a period of 3 years (from January 2018 to December 2020) at the Diagnostic Imaging Center (C.I.D) “TERIYA” in BAMAKO. It concerned all patients who came for a mammogram/ultrasound examination of the breast. All women admitted for mammogram or breast ultrasound who were diagnosed with a breast injury during the study period were included. Incomplete records and radiological checks were not included. The variables analyzed were age, sex, clinical data, and ultrasound and mammography aspects. The devices used are: a Voluson 730 PRO ultrasound machine and a G 600T type mammography machine. Results: At the end of our study, we collected 254 breast pathologies on a number of 382 women, i.e. a frequency of 66.49%. The average age of our patients was 41 years old. The dominant clinical data were mastodynia (41.88%) and mammary nodule (21.70%). On imaging (mammo-ultrasound) the lesions predominated on the left in 36% of cases, bilateral in 28% of cases and in the upper-outer quadrants in 31.5% of cases. Tumor pathologies represented 66.54% of which 45.27% were benign mainly composed of fibro-adenoma (20.88%) and cyst (18.50%), 11.8% of suspected cases and 9.45% of cancers. Non-tumor pathologies represented 33.46%, mainly mastitis (16.14%), galactophoric dilations (11.02%) and abscesses (5.51%). These pathologies were classified in 50.3% in ACR2, 17.75% in ACR3 and 4, and in 14.20% in ACR5. Lymphadenopathy was present in 73.21% of cases.
文摘乳腺导管原位癌(ductal carcinoma in situ,DCIS)是一种局限于乳腺终末导管,未突破基底膜的乳腺癌病理类型,与浸润性导管癌(invasive ductal carcinoma,IDC)关系密切,被认为是其前驱病变。当DCIS突破基底膜侵入周围组织可形成浸润灶,若单个浸润灶最大径线小于1 mm或多个浸润灶中最大者径线小于1 mm时,即定义为导管原位癌伴微浸润(ductal carcinoma in situ with microinvasion,DCIS-Mi),12%~40%未经治疗和干预的DCIS会进展为IDC,DCIS和IDC可同时存在;但也有相当一部分DCIS始终不会进展,预后相对较好,DCIS的过度诊断和治疗成为目前的关注点。DCIS的组织学分级主要依据细胞核的形态分为低、中、高3个核级,受体的表达情况、分子分型的分布在DCIS、DCIS-Mi和IDC之间也存在着显著差异。伴或不伴微浸润及不同组织学分级的DCIS的临床处理方式、治疗方案、预后及患者风险收益情况有较大差别,也一直存在较多争议。现代影像学技术的发展初步实现了对其组织学分级、浸润情况及患者预后的评估。目前临床上最常用的乳腺影像学检查技术主要有钼靶X线摄影(mammography,MG)、超声和磁共振成像(magnetic resonance imaging,MRI)等,3种检查技术的成像原理不同,在乳腺疾病影像诊断中各有优势和不足,但又可互为补充,在病变诊断、治疗及预后评估中发挥着重要的作用。乳腺钼靶X线摄影具有安全可靠、重复性好的优点,是国际指南推荐的首选的乳腺癌筛查方式,DCIS在钼靶X线片上的主要表现可分为非钙化型病变和钙化型病变;在超声上主要表现为肿块型和非肿块型病变,后者又可分为低回声改变、钙化、导管改变和结构紊乱扭曲等;MRI对不伴钙化及多灶性DCIS的检出比钼靶X线摄影敏感性更高,对病变范围的评估准确性更高,但也存在诊断特异性不高、对微钙化显示不敏感等不足;此外,影像组学在DCIS的组织病理学评估预测及指导个体化精准治疗方面潜力巨大。在当前精准医疗时代,影像学特征、组织病理学检查结果、基因检测结果等在预测患者预后方面的价值日益显现,DCIS的早期精确诊断及明确分子分型在临床工作中亦极为重要。通过分子分型、组织学分级和影像表现来预测不同治疗可能带来的获益,以制订最合适的个体化治疗方案已成为目前临床治疗的共识。本文就DCIS的影像学表现与分子分型、组织病理学及预后方面的相关性研究新进展进行综述。
