This paper presents a new 2D holographic microwave imaging array (HMIA) technique for medical imaging applications. The HMIA technique has been applied to early stage breast cancer detection and brain stroke detection...This paper presents a new 2D holographic microwave imaging array (HMIA) technique for medical imaging applications. The HMIA technique has been applied to early stage breast cancer detection and brain stroke detection. Computer models are developed to demonstrate the feasibility of detecting and localizing small brain strokes within a 2D numerical head model and breast tumours within a 3D numerical breast model using the HMIA technique. Experimental validation of the HMIA simulation model using a breast phantom has been undertaken and demonstrated a good agreement between experimental and simulated images. Simulation and experimental results showed that the proposed HMIA technique has the potential to become a powerful medical screening and diagnostic tool.展开更多
Objective: To find an effective, sensitive, specific and noninvasive diagnostic method of breast cancer. Methods: 109 masses of 102 patients with breast lesions smaller than 2 cm in diameter were divided into three gr...Objective: To find an effective, sensitive, specific and noninvasive diagnostic method of breast cancer. Methods: 109 masses of 102 patients with breast lesions smaller than 2 cm in diameter were divided into three groups to undergo 99mTc-MIBI imaging and compared with the results of pathology examination. 20 cases without breast lesions were selected as control. Abnormal condensation of 99mTc-MIBI in the breast reaching 10% higher than that in the counterpart of the healthy breast was regarded as positive. Results: Of 32 breast cancers, positive imaging appeared in 25. Negative imaging were found in 31 of 38 benign breast lesions. Of 39 occult breast lesions, positive imaging appeared in 6 and 3 of them were breast cancer, 2 of 3 patients with slightly increased 99mTc-MIBI imaging threshold were breast cancer also. No positive imaging was found in the control group. The diagnostic accuracy, sensitivity, specificity, positive predictive value, negative predictive value of 99mTc-MIBI was 88.4%, 89.2%, 88.0%, 75.0% and 95.3%, respectively. Conclusion: 99mTc-MIBI imaging had higher sensitivity and accuracy in the diagnosis of breast cancer and differentiation between benign and malignant breast lesions. It could provide useful information for the diagnosis of clinically suspected breast cancer.展开更多
Objective: Computer classification of sonographic BI-RADS features can aid differentiation of the malignant and benign masses. However, the variability in the diagnosis due to the differences in the observed features ...Objective: Computer classification of sonographic BI-RADS features can aid differentiation of the malignant and benign masses. However, the variability in the diagnosis due to the differences in the observed features between the observations is not known. The goal of this study is to measure the variation in sonographic features between multiple observations and determine the effect of features variation on computer-aided diagnosis of the breast masses. Materials and Methods: Ultrasound images of biopsy proven solid breast masses were analyzed in three independent observations for BI-RADS sonographic features. The BI-RADS features from each observation were used with Bayes classifier to determine probability of malignancy. The observer agreement in the sonographic features was measured by kappa coefficient and the difference in the diagnostic performances between observations was determined by the area under the ROC curve, Az, and interclass correlation coefficient. Results: While some features were repeatedly observed, κ = 0.95, other showed a significant variation, κ = 0.16. For all features, combined intra-observer agreement was substantial, κ = 0.77. The agreement, however, decreased steadily to 0.66 and 0.56 as time between the observations increased from 1 to 2 and 3 months, respectively. Despite the variation in features between observations the probabilities of malignancy estimates from Bayes classifier were robust and consistently yielded same level of diagnostic performance, Az was 0.772-0.817 for sonographic features alone and 0.828-0.849 for sonographic features and age combined. The difference in the performance, ΔAz, between the observations for the two groups was small (0.003-0.044) and was not statistically significant (p < 0.05). Interclass correlation coefficient for the observations was 0.822 (CI: 0.787-0.853) for BI-RADS sonographic features alone and for those combined with age was 0.833 (CI: 0.800-0.862). Conclusion: Despite the differences in the BI-RADS sonographic features between dif展开更多
Background: Neoadjuvant chemotherapy (NAC) is one of the treatment options for breast cancer. Its aim is to significantly reduce the size of the tumour in preparation for surgery. The aim of this work is to analyze th...Background: Neoadjuvant chemotherapy (NAC) is one of the treatment options for breast cancer. Its aim is to significantly reduce the size of the tumour in preparation for surgery. The aim of this work is to analyze the conditions of clinical and radiological evaluation of NAC at the Yalgado Ouédraogo University Hospital (CHUYO). Patients and Methods: This was a descriptive cross-sectional study based on the medical records of patients followed up in the cancer department of the CHUYO from 1 January 2013 to 31 December 2021. All patients followed for histologically proven, non-metastatic breast cancer and having received at least one course of NAC were included in this study. The variables were related to the socio-demographic characteristics of the patients, the indications, the protocols of NAC and the sequences of evaluation of the tumour response (clinical, radiological and anatomopathological). Results: We collected 105 cases. The average age of the patients concerned was 44 years. The most frequent histological type was non-specific invasive carcinoma in 97.1% of cases. Immunohistochemically, triple-negative patients accounted for 51.4%. At the initial stage, all patients underwent clinical exploration. Clinical measurement of the tumour was performed in 70.5% of cases. The radiological size of the tumour was determined by ultrasound in 59.1% of cases. One patient had a breast MRI. Thirty-one patients were lost to follow-up after the initial evaluation. At mid-term and at the end of treatment, clinical tumour size was performed in 38.6% and 45.6% of cases respectively. There was no breast imaging performed at mid- and end-of-treatment. CT scans were performed in all cases at baseline, mid-term and end of treatment for extension assessment but did not mention the breast tumour. The tumour response rate was not recorded. Conclusion: Clinical assessment of tumour response is almost always empirical and not quantified. Medical imaging examinations are prescribed sparingly so as not to compromise the regularity 展开更多
近年来乳腺癌发病率有上升趋势,现已成为妇女第一位恶性肿瘤。乳腺X线检查作为乳腺癌的筛检手段、诊断方法已越来越引起重视,规范乳腺X线报告已非常必要。美国放射学会在20世纪90年代提出的乳腺影像报告和数据系统(breast imaging repor...近年来乳腺癌发病率有上升趋势,现已成为妇女第一位恶性肿瘤。乳腺X线检查作为乳腺癌的筛检手段、诊断方法已越来越引起重视,规范乳腺X线报告已非常必要。美国放射学会在20世纪90年代提出的乳腺影像报告和数据系统(breast imaging reporting and data system,BI-RADS),在规范乳腺X线报告,帮助临床医生对病变处理作出合理选择,在不同医疗机构之间的归一研究和乳腺X线检查随访的监测等方面均起着至关重要的作用。我们的应用显示,基于乳腺癌筛查而产生的这个系统同样也适应于乳腺病变检查人群。展开更多
文摘This paper presents a new 2D holographic microwave imaging array (HMIA) technique for medical imaging applications. The HMIA technique has been applied to early stage breast cancer detection and brain stroke detection. Computer models are developed to demonstrate the feasibility of detecting and localizing small brain strokes within a 2D numerical head model and breast tumours within a 3D numerical breast model using the HMIA technique. Experimental validation of the HMIA simulation model using a breast phantom has been undertaken and demonstrated a good agreement between experimental and simulated images. Simulation and experimental results showed that the proposed HMIA technique has the potential to become a powerful medical screening and diagnostic tool.
文摘Objective: To find an effective, sensitive, specific and noninvasive diagnostic method of breast cancer. Methods: 109 masses of 102 patients with breast lesions smaller than 2 cm in diameter were divided into three groups to undergo 99mTc-MIBI imaging and compared with the results of pathology examination. 20 cases without breast lesions were selected as control. Abnormal condensation of 99mTc-MIBI in the breast reaching 10% higher than that in the counterpart of the healthy breast was regarded as positive. Results: Of 32 breast cancers, positive imaging appeared in 25. Negative imaging were found in 31 of 38 benign breast lesions. Of 39 occult breast lesions, positive imaging appeared in 6 and 3 of them were breast cancer, 2 of 3 patients with slightly increased 99mTc-MIBI imaging threshold were breast cancer also. No positive imaging was found in the control group. The diagnostic accuracy, sensitivity, specificity, positive predictive value, negative predictive value of 99mTc-MIBI was 88.4%, 89.2%, 88.0%, 75.0% and 95.3%, respectively. Conclusion: 99mTc-MIBI imaging had higher sensitivity and accuracy in the diagnosis of breast cancer and differentiation between benign and malignant breast lesions. It could provide useful information for the diagnosis of clinically suspected breast cancer.
文摘Objective: Computer classification of sonographic BI-RADS features can aid differentiation of the malignant and benign masses. However, the variability in the diagnosis due to the differences in the observed features between the observations is not known. The goal of this study is to measure the variation in sonographic features between multiple observations and determine the effect of features variation on computer-aided diagnosis of the breast masses. Materials and Methods: Ultrasound images of biopsy proven solid breast masses were analyzed in three independent observations for BI-RADS sonographic features. The BI-RADS features from each observation were used with Bayes classifier to determine probability of malignancy. The observer agreement in the sonographic features was measured by kappa coefficient and the difference in the diagnostic performances between observations was determined by the area under the ROC curve, Az, and interclass correlation coefficient. Results: While some features were repeatedly observed, κ = 0.95, other showed a significant variation, κ = 0.16. For all features, combined intra-observer agreement was substantial, κ = 0.77. The agreement, however, decreased steadily to 0.66 and 0.56 as time between the observations increased from 1 to 2 and 3 months, respectively. Despite the variation in features between observations the probabilities of malignancy estimates from Bayes classifier were robust and consistently yielded same level of diagnostic performance, Az was 0.772-0.817 for sonographic features alone and 0.828-0.849 for sonographic features and age combined. The difference in the performance, ΔAz, between the observations for the two groups was small (0.003-0.044) and was not statistically significant (p < 0.05). Interclass correlation coefficient for the observations was 0.822 (CI: 0.787-0.853) for BI-RADS sonographic features alone and for those combined with age was 0.833 (CI: 0.800-0.862). Conclusion: Despite the differences in the BI-RADS sonographic features between dif
文摘Background: Neoadjuvant chemotherapy (NAC) is one of the treatment options for breast cancer. Its aim is to significantly reduce the size of the tumour in preparation for surgery. The aim of this work is to analyze the conditions of clinical and radiological evaluation of NAC at the Yalgado Ouédraogo University Hospital (CHUYO). Patients and Methods: This was a descriptive cross-sectional study based on the medical records of patients followed up in the cancer department of the CHUYO from 1 January 2013 to 31 December 2021. All patients followed for histologically proven, non-metastatic breast cancer and having received at least one course of NAC were included in this study. The variables were related to the socio-demographic characteristics of the patients, the indications, the protocols of NAC and the sequences of evaluation of the tumour response (clinical, radiological and anatomopathological). Results: We collected 105 cases. The average age of the patients concerned was 44 years. The most frequent histological type was non-specific invasive carcinoma in 97.1% of cases. Immunohistochemically, triple-negative patients accounted for 51.4%. At the initial stage, all patients underwent clinical exploration. Clinical measurement of the tumour was performed in 70.5% of cases. The radiological size of the tumour was determined by ultrasound in 59.1% of cases. One patient had a breast MRI. Thirty-one patients were lost to follow-up after the initial evaluation. At mid-term and at the end of treatment, clinical tumour size was performed in 38.6% and 45.6% of cases respectively. There was no breast imaging performed at mid- and end-of-treatment. CT scans were performed in all cases at baseline, mid-term and end of treatment for extension assessment but did not mention the breast tumour. The tumour response rate was not recorded. Conclusion: Clinical assessment of tumour response is almost always empirical and not quantified. Medical imaging examinations are prescribed sparingly so as not to compromise the regularity
文摘近年来乳腺癌发病率有上升趋势,现已成为妇女第一位恶性肿瘤。乳腺X线检查作为乳腺癌的筛检手段、诊断方法已越来越引起重视,规范乳腺X线报告已非常必要。美国放射学会在20世纪90年代提出的乳腺影像报告和数据系统(breast imaging reporting and data system,BI-RADS),在规范乳腺X线报告,帮助临床医生对病变处理作出合理选择,在不同医疗机构之间的归一研究和乳腺X线检查随访的监测等方面均起着至关重要的作用。我们的应用显示,基于乳腺癌筛查而产生的这个系统同样也适应于乳腺病变检查人群。
