Approach to the Patient with a Breast Mass

2019 ◽  
Author(s):  
George Plitas ◽  
Monica Morrow ◽  
Brandon R Bruns

A breast mass is the most common presenting symptom among patients in a breast clinic. The presence of a breast mass can cause a great deal of anxiety in women, as well as their physicians. The differential diagnosis of a palpable breast abnormality is broad, although the majority of breast masses are benign. The responsibility of the physician who is evaluating a breast mass is to exclude the presence of malignancy. Once cancer is ruled out, the physician should then attempt to provide an accurate diagnosis, appropriate treatment, and reassurance to the patient. This chapter discusses the assessment of normal breast physiology, identification of a breast mass, evaluation of the various classifications of breast mass (e.g., dominant mass with clinically benign features and dominant mass with suspicious features), differential diagnosis and management of common benign breast masses (e.g., cysts, fibroadenomas, phyllodes tumors, hamartomas, fat necrosis), and the risk of breast cancer associated with benign breast lesions. The chapter also discusses the diagnosis and management of a breast mass in male patients. Tables outline breast lesions that may present as a palpable abnormality, factors used for the assessment of breast cancer risk, physical characteristics of benign and malignant breast masses, the accuracy of fine-needle aspiration, and benign breast lesions by category. Figures illustrate diagnostic procedures, the anatomy of the human breast, visual inspection of the breasts, physical examination of the breasts, breast palpation technique, the evaluation and management of a new breast mass, and the identification of cysts. This review contains 10 figures, 14 tables, and 64 references. Keywords: breast mass, lobuloalveolar development, subareolar nodularity, parenchyma (glandular elements), stromal tissue, ovarian graafian follicles

2019 ◽  
Author(s):  
George Plitas ◽  
Monica Morrow ◽  
Brandon R Bruns

A breast mass is the most common presenting symptom among patients in a breast clinic. The presence of a breast mass can cause a great deal of anxiety in women, as well as their physicians. The differential diagnosis of a palpable breast abnormality is broad, although the majority of breast masses are benign. The responsibility of the physician who is evaluating a breast mass is to exclude the presence of malignancy. Once cancer is ruled out, the physician should then attempt to provide an accurate diagnosis, appropriate treatment, and reassurance to the patient. This chapter discusses the assessment of normal breast physiology, identification of a breast mass, evaluation of the various classifications of breast mass (e.g., dominant mass with clinically benign features and dominant mass with suspicious features), differential diagnosis and management of common benign breast masses (e.g., cysts, fibroadenomas, phyllodes tumors, hamartomas, fat necrosis), and the risk of breast cancer associated with benign breast lesions. The chapter also discusses the diagnosis and management of a breast mass in male patients. Tables outline breast lesions that may present as a palpable abnormality, factors used for the assessment of breast cancer risk, physical characteristics of benign and malignant breast masses, the accuracy of fine-needle aspiration, and benign breast lesions by category. Figures illustrate diagnostic procedures, the anatomy of the human breast, visual inspection of the breasts, physical examination of the breasts, breast palpation technique, the evaluation and management of a new breast mass, and the identification of cysts. This review contains 10 figures, 14 tables, and 64 references. Keywords: breast mass, lobuloalveolar development, subareolar nodularity, parenchyma (glandular elements), stromal tissue, ovarian graafian follicles


2020 ◽  
Vol 18 ◽  
pp. 205873922094614
Author(s):  
Aamir Sharif ◽  
Tahira Tabassum ◽  
Muhammad Riaz ◽  
Muhammad Akram ◽  
Naveed Munir

Breast cancer is the most common malignant tumor and is a leading cause of death worldwide. This study was planned to find out the frequencies of various types of lesions from palpable breasts of female patients through fine needle aspiration cytology. This retrospective study was carried out during December 2017 to May 2018 on 100 female patients presenting with palpable breast mass at University Medical Complex & Research Center, Sargodha, Pakistan. Following written informed consent from patients, a detailed history, patient age, and clinical examination were recorded. The fine needle aspiration cytology was performed and aspirates were processed following the standard methods for cytopathological examination. The cases were grouped according to the five tier reporting format for breast lesion (C1–C5) laid down by the International Academy of Cytologists (IAC) in 2016. The spectrum of breast lesions on cytomorphological interpretation was 54% benign (C2), 2% atypia/suspicious probably benign (C3), 3% suspicious probably malignant (C4) and 41% malignant (C5). Inadequate/insufficient material (C1) was not included in the study. In this study, the specificity, sensitivity, negative and positive predictive value, and diagnostic accuracy of fine needle aspiration cytology were 100%, 91.11%, 98.18%, 100%, and 98.96%, respectively. In benign lesions, maximum cases were of fibroadenoma (24%) followed by fibrocystic disease (4%), lipoma (3%) while benign phyllodes tumor and galactocele were only 1% each. Breast mass was the chief presenting complaint. Breast cancer was commonest among all the morphological patterns of breast lesions followed by fibroadenoma. This study supports that cytological examination using fine needle aspiration cytology is an economical, rapid, easy and valuable diagnostic tool.


2021 ◽  
Vol 11 (6) ◽  
pp. 1608-1615
Author(s):  
Ding Zuopeng ◽  
Liu Weiyong ◽  
Hu Chunmei ◽  
Wang Tao ◽  
Wang Mingming

The incidence of breast cancer ranks first among female malignant tumor. With the increase of the sensitivity of color Doppler ultrasound blood flow, the blood flow distribution in and around the tumor can be clearly displayed, and the analysis of hemodynamic parameters is provided, which provides convenience for the study of tumor blood flow characteristics. Studies have shown that tumor cells can secrete a substance called angiogenesis factor, which makes the tumor site form a rich vascular network to promote tumor growth and metastasis. The tumor has many new blood vessels, abnormal structure, thin wall, lack of muscle layer, and is prone to form arteriovenous rash. These characteristics provide a pathological basis for color Doppler flow imaging (CDFI) for the diagnosis of breast cancer. This article discusses the role of two-dimensional sonographic features in the differential diagnosis of benign and malignant breast masses, CDFI was used to study the blood flow distribution and hemodynamic characteristics in benign and malignant breast masses; explore the value of blood flow characteristics and blood flow parameters in the differential diagnosis of breast masses. The experimental results show that the detection rate of blood flow signals and the classification of blood flow signals in the malignant group are higher than those in the benign group, mainly level II and III blood flow, and the irregular branched blood flow is more common, especially when the tumor appears penetrating blood flow supports the diagnosis of malignancy. PSV, RI and PI have a certain differential meaning in the diagnosis of benign and malignant breast masses. PSV, RI and PI of malignant masses are higher than benign masses. For tumors without obvious necrosis, the larger the tumor diameter, the richer the blood flow and the higher the blood flow grade is. The malignant tumors have more blood flow than the benign ones.


2011 ◽  
Vol 29 (27_suppl) ◽  
pp. 69-69
Author(s):  
A. R. Ismail

69 Background: With increasing usage of diagnostic cross sectional radiology tests, patients are presenting to rapid access one-stop breast clinic with incidental breast lesions. Methods: A prospective study over a 3-year period, collecting details of all patients shown to have breast abnormalities detected by computed tomography (CT) scans done for various reasons. These patients were assessed by clinical breast examination coupled with mammography, ultrasonography and tissue biopsy if indicated. Results: An increasing trend has been seen in the total number of thoracic CT scans with 1,939 scans in 2005 and 5,215 scans in 2010 (169% increase). 26 patients were included in this study with CT scans showing incidental breast lesions in the last three years. They were all women with age range of 50-92 (median 82.5) years. The clinical indications of CT scans included evaluation of the abnormal chest radiograph (8, 31%), preoperative evaluation of non-breast malignancy (3, 11%), infectious diseases (3, 11%), weight loss (7, 27%) and miscellaneous (5, 20%). These 13 breast cancer patients constitute 1.36% of 956 breast cancers diagnosed over this three-year period. 8 out of 13 breast cancer patients in this group (62%) had metastases at the time of diagnosis. Conclusions: A significant number of breast lesions incidentally found on CT scans are shown to be breast cancers (50%). These patients need rapid access to one-stop breast clinic for full evaluation. [Table: see text]


Medicina ◽  
2021 ◽  
Vol 57 (11) ◽  
pp. 1260
Author(s):  
Hee-Seon Yoo ◽  
Wu-Seong Kang ◽  
Jung-Soo Pyo ◽  
Junghan Yoon

Background and Objective: Breast mass lesions are common; however, determining the malignant potential of the lesion can be ambiguous. Recently, to evaluate breast mass lesions, vacuum-assisted excision (VAE) biopsy has been widely used for both diagnostic and therapeutic purposes. This study aimed to investigate the therapeutic role of VAE. Materials and Methods: Relevant articles were obtained by searching PubMed and EMBASE on September 3, 2021. Meta-analyses were performed using odds ratios and proportions. To assess heterogeneity, we conducted a subgroup analysis and meta-regression tests. Results: Finally, 26 studies comprising 18,170 patients were included. All of these were observational studies. The meta-analysis showed that the complete resection rate of VAE was 0.930. In the meta-regression test, there was no significant difference. The meta-analysis showed a recurrence rate of 0.039 in the VAE group. The meta-regression test showed no statistical significance. Postoperative hematoma, pain, and ecchymosis after VAE were 0.092, 0.082, and 0.075, respectively. Conclusion: VAE for benign breast lesions showed favorable outcomes with respect to complete resection and complications. This meta-analysis suggested that VAE for low-risk benign breast lesions is a reasonable option for both diagnostic and therapeutic purposes.


2021 ◽  
pp. 48-50
Author(s):  
Ashok Kumar Verma ◽  
Rashmi Rashmi ◽  
Rakesh Kumar Verma ◽  
Mahendra Kumar Pandey

Introduction: India is experiencing an unprecedented rise in the number of breast cancer cases across all sections of society. Breast cancer is now the most common malignancy in women and the second leading cause of cancer- related mortality. Breast cancer is quite easily and effectively treated, provided it is detected in it's early stages. There is a drastic drop in the survival rates when women present with advanced stage of breast cancer, regardless of the setting. Unfortunately, women in resource-poor and developing countries, like India, generally present at a later stage of disease than women elsewhere, partly due to the absence of effective awareness programs and partly due to the lack of proper mass screening programs Aims And Objectives: The diagnostic performance of elastography in differentiating benign from malignant breast lesions. To assess whether elastography has the potential to reduce the need for breast biopsy /FNAC. Cut off value of Strain Ratio for benign versus malignant breast lesions. Further characterize BI-RADS 3 lesions using elastography Materials And Methods: The study was approved by the GSVM MEDICAL COLLEGE AND LLR HOSPITAL Ethics Committee. All patients that presented to the Radiology and Imaging Department of LLR HOSPITAL for diagnostic work up for breast pathology were included in the study. After obtaining a written and signed informed consent from all patients, they were subjected to conventional B-Mode ultrasonography followed by elastography. All diagnostic breast imaging was done with Samsung RS80A ultrasound machine using linear array transducer of frequency 5-12MHz.Observations & Results: The elastography patterns for each lesion were assessed and documented in color scale. Color images were constructed automatically and displayed as a color-overlay on the B-mode image. The color pattern of each lesion was then evaluated on a scale of 1-5 according to the Tsukuba elasticity scoring system. Conclusion: Strain Ratio cutoff of 3.3 is a sensitive parameter to differentiate benign and malignant breast lesions. Elastography is a specic test for differentiating benign and malignant breast lesions. The combined use of elasticity score, strain ratio and B- Mode sonographyincreases the diagnostic performance in distinguishing benign from malignant breast masses.


Author(s):  
Jia Lin ◽  
Wenqiang Lin ◽  
Liang Xu ◽  
Teng Lin

BACKGROUND: Tumor angiogenesis plays a critical role in the growth and metastasis of breast cancer and evaluating the added value of vascular features to Breast Imaging Reporting and Data System (BI-RADS) in differentiating malignant nodules from benign ones is essential. Micro-flow Imaging (MFI) is a promising noninvasive diagnostic method for the microvessels in breast tumors, but its precise value is still uncertain. OBJECTIVES: Understanding whether malignant tumor vascular characteristics by MFI are associated with breast cancer and whether the diagnostic efficiency varies by age. MATERIALS AND METHODS: We used B-mode Ultrasound and MFI to detect the characteristics of 153 solid breast lesions. Two investigators reviewed the vessels images by MFI and assessed the vascular features, respectively. Evaluating diagnostic efficacy of different vascular features combined with BI-RADS in different age groups. RESULTS: The mean size of lesions is 19.4 (range 18–78) mm. There were 94 breast masses in benign, while 59 breast masses in malignant by pathology. III Adler classification, penetrating vessels, and complex flow pattern showed a positive association with a high risk of malignant breast lesions (p <  0.05). BI-RADS combined with vessel characteristics show better improvement of diagnostic performance of breast lesions in the elderly group than in the young group. CONCLUSIONS: Vascular features by MFI contribute to malignant breast masses’ diagnosis, and the association might be modified by age.


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