Imaging techniques in breast cancer

2022 ◽  
Author(s):  
Stebia Beremauro ◽  
Constantine Girio-Fragkoulakis
Cancers ◽  
2021 ◽  
Vol 13 (14) ◽  
pp. 3521
Author(s):  
Valeria Romeo ◽  
Giuseppe Accardo ◽  
Teresa Perillo ◽  
Luca Basso ◽  
Nunzia Garbino ◽  
...  

Neoadjuvant chemotherapy (NAC) is becoming the standard of care for locally advanced breast cancer, aiming to reduce tumor size before surgery. Unfortunately, less than 30% of patients generally achieve a pathological complete response and approximately 5% of patients show disease progression while receiving NAC. Accurate assessment of the response to NAC is crucial for subsequent surgical planning. Furthermore, early prediction of tumor response could avoid patients being overtreated with useless chemotherapy sections, which are not free from side effects and psychological implications. In this review, we first analyze and compare the accuracy of conventional and advanced imaging techniques as well as discuss the application of artificial intelligence tools in the assessment of tumor response after NAC. Thereafter, the role of advanced imaging techniques, such as MRI, nuclear medicine, and new hybrid PET/MRI imaging in the prediction of the response to NAC is described in the second part of the review. Finally, future perspectives in NAC response prediction, represented by AI applications, are discussed.


2021 ◽  
Vol 22 (5) ◽  
pp. 2757
Author(s):  
Braden Miller ◽  
Hunter Chalfant ◽  
Alexandra Thomas ◽  
Elizabeth Wellberg ◽  
Christina Henson ◽  
...  

Obesity, diabetes, and inflammation increase the risk of breast cancer, the most common malignancy in women. One of the mainstays of breast cancer treatment and improving outcomes is early detection through imaging-based screening. There may be a role for individualized imaging strategies for patients with certain co-morbidities. Herein, we review the literature regarding the accuracy of conventional imaging modalities in obese and diabetic women, the potential role of anti-inflammatory agents to improve detection, and the novel molecular imaging techniques that may have a role for breast cancer screening in these patients. We demonstrate that with conventional imaging modalities, increased sensitivity often comes with a loss of specificity, resulting in unnecessary biopsies and overtreatment. Obese women have body size limitations that impair image quality, and diabetes increases the risk for dense breast tis-sue. Increased density is known to obscure the diagnosis of cancer on routine screening mammography. Novel molecu-lar imaging agents with targets such as estrogen receptor, human epidermal growth factor receptor 2 (HER2), pyrimi-dine analogues, and ligand-targeted receptor probes, among others, have potential to reduce false positive results. They can also improve detection rates with increased resolution and inform therapeutic decision making. These emerg-ing imaging techniques promise to improve breast cancer diagnosis in obese patients with diabetes who have dense breasts, but more work is needed to validate their clinical application.


Author(s):  
Di Guida Lisa ◽  
De Rosa Salvatore

Breast cancer affects one in eight women over a lifetime. It is the most common cancer in women and represents 29% of all cancers affecting women, with a mortality rate of 17% of all deaths due to cancer on women. Sooner the cancer is identified with an early diagnosis, higher are the possibilities to treat it completely and longer is the recurrence time. Mammography is the most common method for early diagnosis. is a two-dimensional X-ray imaging technique and this involves the overlapping of the tissues in the projective image inability to visualize cancer in the first stage. In recent years, three-dimensional imaging techniques have been introduced, including digital tomosynthesis for the diagnosis of breast cancer, this technique has the advantages to perform dozens of projections, and not just one, from various angular views around the compressed breast. The major benefits of tomosynthesis are a lower stratification of breast tissues, better visibility of tumor masses especially for small tumors, breast tomosynthesis provides the ability to visualize 3D images to obtain a more accurated evaluation of lesions allowing better differentiation between overlapping fabrics.


2018 ◽  
Vol 3 (1) ◽  
pp. 34-39
Author(s):  
Taher Abdullah Hawramy ◽  
Dara Ahmed Mohammed ◽  
Hasan Abdullah Ahmed

Breast cancer is the global health problem. It is the highest prevalent site-specific cancer in women throughout the world and the most common reason of death in middle age women,  following lung cancer. Up to 5% of breast cancers are caused by inheritance. Male breast cancer accounts for less than 1%. Mammography is the first imaging study to evaluate breast abnormalities, Ultrasound is particularly useful in young women with dense breasts. Core needle biopsy permits the analysis of breast tissue architecture and whether invasive cancer is present. To compare core needle biopsy and imaging, the accuracy of each modality for purpose of the diagnosis and their impact on preoperative planning before surgical treatment. A retrospective cohort study was performed in 70 cases of breast cancer during 2015-2017 at Slemani Breast Center/ Kurdistan region. Inclusion criteria any patient with diagnosed with breast cancer for whom core biopsy and imaging techniques (ultrasound and mammography) were done, Age 25 years and above. Exclusion criteria, a patient with breast mass who did not underwent: one of the two modalities, Age below 25 years, pregnant women. In the current study: mean age/year for the  participants were Mean age = 51.34 year ± 12.85 SD), Sixty-nine cases were female and one male. By core biopsy (97.1%) is positive for malignancy. In this study: results about 34.28% of BIRADS V (ultrasound)lesions proved to be positive for malignancy by core biopsy, 1.43% of BIRADS V were negative for malignancy and the association was statistically highly significant, for BIRADS III lesions 17.14% were proved as positive for malignancy by core biopsy. About 45.7% of BIRADS V (mammography were positive for malignancy by core biopsy and the associations were found to be statistically highly significant and for BIRADS III 12.85% of lesions were positive for malignancy by core biopsy. There was a statistically significant association between radiological investigation(ultrasound, mammography) and histopathological finding (core biopsy).  


Cancers ◽  
2021 ◽  
Vol 13 (21) ◽  
pp. 5459
Author(s):  
Huiling Li ◽  
Zhen Liu ◽  
Lujie Yuan ◽  
Kevin Fan ◽  
Yongxue Zhang ◽  
...  

Breast cancer is a malignant tumor that can affect women worldwide and endanger their health and wellbeing. Early detection of breast cancer can significantly improve the prognosis and survival rate of patients, but with traditional anatomical imagine methods, it is difficult to detect lesions before morphological changes occur. Radionuclide-based molecular imaging based on positron emission tomography (PET) and single-photon emission computed tomography (SPECT) displays its advantages for detecting breast cancer from a functional perspective. Radionuclide labeling of small metabolic compounds can be used for imaging biological processes, while radionuclide labeling of ligands/antibodies can be used for imaging receptors. Noninvasive visualization of biological processes helps elucidate the metabolic state of breast cancer, while receptor-targeted radionuclide molecular imaging is sensitive and specific for visualization of the overexpressed molecular markers in breast cancer, contributing to early diagnosis and better management of cancer patients. The rapid development of radionuclide probes aids the diagnosis of breast cancer in various aspects. These probes target metabolism, amino acid transporters, cell proliferation, hypoxia, estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor 2 (HER2), gastrin-releasing peptide receptor (GRPR) and so on. This article provides an overview of the development of radionuclide molecular imaging techniques present in preclinical or clinical studies, which are used as tools for early breast cancer diagnosis.


Author(s):  
Nishanth Krishnaraj ◽  
A. Mary Mekala ◽  
Bhaskar M. ◽  
Ruban Nersisson ◽  
Alex Noel Joseph Raj

Early prediction of cancer type has become very crucial. Breast cancer is common to women and it leads to life threatening. Several imaging techniques have been suggested for timely detection and treatment of breast cancer. More research findings have been done to accurately detect the breast cancer. Automated whole breast ultrasound (AWBUS) is a new breast imaging technology that can render the entire breast anatomy in 3-D volume. The tissue layers in the breast are segmented and the type of lesion in the breast tissue can be identified which is essential for cancer detection. In this chapter, a u-net convolutional neural network architecture is used to implement the segmentation of breast tissues from AWBUS images into the different layers, that is, epidermis, subcutaneous, and muscular layer. The architecture was trained and tested with the AWBUS dataset images. The performance of the proposed scheme was based on accuracy, loss and the F1 score of the neural network that was calculated for each layer of the breast tissue.


Author(s):  
Maxine Jochelson

Overview: Mammography is the only breast imaging examination that has been shown to reduce breast cancer mortality. Population-based sensitivity is 75% to 80%, but sensitivity in high-risk women with dense breasts is only in the range of 50%. Breast ultrasound and contrast-enhanced breast magnetic resonance imaging (MRI) have become additional standard modalities used in the diagnosis of breast cancer. In high-risk women, ultrasound is known to detect approximately four additional cancers per 1,000 women. MRI is exquisitely sensitive for the detection of breast cancer. In high-risk women, it finds an additional four to five cancers per 100 women. However, both ultrasound and MRI are also known to lead to a large number of additional benign biopsies and short-term follow-up examinations. Many new breast imaging tools have improved and are being developed to improve on our current ability to diagnose early-stage breast cancer. These can be divided into two groups. The first group is those that are advances in current techniques, which include digital breast tomosynthesis and contrast-enhanced mammography and ultrasound with elastography or microbubbles. The other group includes new breast imaging platforms such as breast computed tomography (CT) scanning and radionuclide breast imaging. These are exciting advances. However, in this era of cost and radiation containment, it is imperative to look at all of them objectively to see which will provide clinically relevant additional information.


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