Evolution of Imaging in Breast Cancer

García, Encarnación Martínez; Crowley, James J.; Hagan, Catherine; Atkinson, Lisa

doi:10.1097/grf.0000000000000193

Cited by 11 publications

(5 citation statements)

References 47 publications

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“…Nevertheless, mammography suffers from several limitations due to the low contrast between tumors and surrounding tissue [5]. Especially in dense breasts, this can lead to a decrease in sensitivity, and added imaging methods are necessary [6]. Advances in full-field digital mammography (FFDM) led to the development of digital breast tomosynthesis, which is a three-dimensional breast examination.…”

Section: Introductionmentioning

confidence: 99%

“…Advances in full-field digital mammography (FFDM) led to the development of digital breast tomosynthesis, which is a three-dimensional breast examination. The multi-view information from the multiple low-dose images used to generate thin slices (at 1-mm spacing) that viewed sequentially as a stack in orientation, e.g., craniocaudal, mediolateral oblique with the potential to improve accuracy by improving differentiation between malignant and non-malignant lesions [6].…”

Section: Introductionmentioning

confidence: 99%

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Comparing the diagnostic efficacy of digital breast tomosynthesis with full-field digital mammography using BI-RADS scoring

Naeim

Marouf

Nasr

et al. 2021

Egypt J Radiol Nucl Med

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Background Mammography has been the mainstay for the detection of breast cancer over decades. It has gradually advanced from screen film to full-field digital mammography. Tomosynthesis has evolved as advanced imaging for early diagnosis of breast lesions with a promising role in both diagnostic and screening settings, particularly in dense and treated breasts. Results This study included 90 female patients according to our inclusion criteria. All patients perform full-field digital mammography (FFDM) and digital breast tomosynthesis (DBT) and were classified according to breast density and age groups. Breast imaging reporting and data system (BI-RADS) scoring was assigned for each case. This was correlated with the final diagnosis; the diagnostic indices of mammography were a sensitivity of 64.44%, a specificity of 77.78%, a positive predictive value (PPV) 74.63%, a negative predictive value (NPV) of 68.63%, and a diagnostic accuracy of 71.11%. Diagnostic indices of DBT were a sensitivity of 100%, a specificity of 97.77%, PPV 97.78%, NPV 100%, and diagnostic accuracy of 97.7%. In patients with dense breasts American College of Radiology (ACR) (c and d), 61% of cases had changed their BIRADS scoring with the addition of tomosynthesis. Yet, in non-dense breast ACR (a and b), 45% of cases had changed BIRADS scoring with the addition of DBT to FFDM. Conclusion DBT is a promising imaging modality offering better detection and characterization of different breast abnormalities, especially in young females, and those with dense breasts with an increase of sensitivity and specificity than FFDM. This leads to a reduction in the recalled cases, negative biopsies, and assessing the efficacy of therapy as it enables improving detection of breast cancer and different breast lesions not visualized by conventional mammography

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Comparing the diagnostic efficacy of digital breast tomosynthesis with full-field digital mammography using BI-RADS scoring

Naeim

Marouf

Nasr

et al. 2021

Egypt J Radiol Nucl Med

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“…Thermography is an adjunct technique authorized by the United States Food and Drug Administration to assist in the secure, economical, and precise recognition of abnormalities in breast tissue [1] that has demonstrated the ability to identify and track thermal anomalies [4]. Moreover, thermography has certain benefits: ionizing radiation is not used in imaging, noninvasive and painless procedure making it better comfortable, and its equipment is easier to transport than mammography machines; the technology can help as a complimentary tool to boost sensitivity and accuracy, as well as make a preliminary selection of patients based on abnormal skin temperature to have mammography [5,6].…”

Section: Introductionmentioning

confidence: 99%

Novel Algorithms for Early Cancer Diagnosis Using Transfer Learning with MobileNetV2 in Thermal Images

2024

KSII TIIS

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Breast cancer ranks among the most prevalent forms of malignancy and foremost cause of death by cancer worldwide. It is not preventable. Early and precise detection is the only remedy for lowering the rate of mortality and improving the probability of survival for victims. In contrast to present procedures, thermography aids in the early diagnosis of cancer and thereby saves lives. But the accuracy experiences detrimental impact by low sensitivity for small and deep tumours and the subjectivity by physicians in interpreting the images. Employing deep learning approaches for cancer detection can enhance the efficacy. This study explored the utilization of thermography in early identification of breast cancer with the use of a publicly released dataset known as the DMR-IR dataset. For this purpose, we employed a novel approach that entails the utilization of a pre-trained MobileNetV2 model and fine tuning it through transfer learning techniques. We created three models using MobileNetV2: one was a baseline transfer learning model with weights trained from ImageNet dataset, the second was a fine-tuned model with an adaptive learning rate, and the third utilized early stopping with callbacks during fine-tuning. The results showed that the proposed methods achieved average accuracy rates of 85.15%, 95.19%, and 98.69%, respectively, with various performance indicators such as precision, sensitivity and specificity also being investigated.

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“…Two-dimensional full-field digital mammography (2DDM) has been the standard of care for X-ray examination of the breast in women aged 40 years presenting with breast symptoms, and for routine breast cancer screening offered to asymptomatic women aged 50 years, and to women aged from 40 years with a moderate or high risk of breast cancer (Garcia et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Role of 3d Digital Mammography in Studying Breast Lesions in Adult Females of Dense Breast

El-Sayed

Motawe

Faheem

et al. 2021

Al-Azhar Medical Journal

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Background: Digital breast tomosynthesis (quasi three-dimensional [3D] mammography) is a relatively novel technique. It creates thin-slice reconstructions of the breast from low-dose digital mammographic images acquired at multiple angles. This evolution of mammography improves lesion visibility by reducing overlapping tissue. Hence, it has the potential to increase BC detection and to reduce false-positive (FP) findings.Objective: To review the role of 3D Digital Mammography in Studying of dense breast Lesions in adult female. Patients and methods:This was a retrospective study conducted on 40 patients who were eligible for examination by 3D Digital Mammography referred to WAFI center (women and fetal imaging center). The study was conducted during 12 months from January 2019 till January 2020 and was carried at Al-Azhar University Hospitals and WAFI Center (Woman and fetal imaging center).Results: There was no statistically significant difference between ultrasound (US) and tomosynthesis (TOMO) as regarding mass detection. There was a statistically significant increase as regarding calcification detection in TOMO than US. There was a statistically significant increase as regarding asymmetry detection in TOMO than US. There was no statistically significant difference between US & TOMO as regards Arch. Distortion detection. There was no statistically significant difference between US & TOMO as regards inflammatory reactions detection. There was statistically significant increase as regarding cyst detection in US than TOMO. There was a statistically significant increase as regarding dilated ducts detection in US than TOMO. There was a statistically significant increase as regarding added value detection in US than TOMO. There was no statistically significant difference between US & TOMO as regarding Breast Imaging-Reporting and Data System (BI-RADS). Conclusion:Both modalities were not similar in the ability to identify malignant lesions. Wide-angle digital breast tomosynthesis (DBT) was able to initially identify two more lesions <1cm in size; one more malignant focus in a patient with a multi-focal disease, and a small malignant lesion, a case with multiple benign lesions. Both lesions presented as small area of architectural distortion on DBT images (statistically, no significance despite the difference between the two modalities, p=0.07), also DBT has higher detection rate than US as regard calcification and focal asymmetry.

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Evolution of Imaging in Breast Cancer

Cited by 11 publications

References 47 publications

Comparing the diagnostic efficacy of digital breast tomosynthesis with full-field digital mammography using BI-RADS scoring

Comparing the diagnostic efficacy of digital breast tomosynthesis with full-field digital mammography using BI-RADS scoring

Novel Algorithms for Early Cancer Diagnosis Using Transfer Learning with MobileNetV2 in Thermal Images

Role of 3d Digital Mammography in Studying Breast Lesions in Adult Females of Dense Breast

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