BI-RADS

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The Breast Imaging-Reporting and Data System (BI-RADS) is a quality assurance tool originally designed for use with mammography. The system is a collaborative effort of many health groups but is published and trademarked by the American College of Radiology (ACR).

Contents

The system is designed to standardize reporting and is used by medical professionals to communicate a patient's risk of developing breast cancer, particularly for patients with dense breast tissue. The document focuses on patient reports used by medical professionals, not "lay reports" that are provided to patients.

Published documents

The BI-RADS is published by ACR in the form of the BI-RADS Atlas. As of 2013 the Atlas is divided into three publications:

Assessment categories

While BI-RADS is a quality control system, in day-to-day usage the term BI-RADS refers to the mammography assessment categories. These are standardized numerical codes typically assigned by a radiologist after interpreting a mammogram. This allows for concise and unambiguous understanding of patient records between multiple doctors and medical facilities. [1]

The assessment categories were initially developed for mammography and later adapted for use with MRI and ultrasound findings. The summary of each category, given below, is nearly identical for all three modalities.

Category 6 was added in the 4th edition of the BI-RADS.

BI-RADS assessment categories are: [2]

An incomplete (BI-RADS 0) classification warrants either an effort to ascertain prior imaging for comparison, or to call the patient back for additional views and/or higher quality films. A BI-RADS classification of 4 or 5 warrants biopsy to further evaluate the offending lesion. [3] Some experts believe that the single BI-RADS 4 classification does not adequately communicate the risk of cancer to doctors and recommend a subclassification scheme: [4]

Breast composition categories

As of the BI-RADS 5th edition: [5]

Automated extraction

Automatic parsers have been developed to automatically extract BI-RADS features, [6] [7] categories [8] and breast composition [9] from textual mammography reports.

There is also an automatic parser available for BI-RADS final category inference by parsing only the semi-formatted finding section of the textual mammography report. [10]

Related Research Articles

<span class="mw-page-title-main">Mammography</span> Process of using low-energy X-rays to examine the human breast for diagnosis and screening

Mammography is the process of using low-energy X-rays to examine the human breast for diagnosis and screening. The goal of mammography is the early detection of breast cancer, typically through detection of characteristic masses or microcalcifications.

<span class="mw-page-title-main">Prostate biopsy</span>

Prostate biopsy is a procedure in which small hollow needle-core samples are removed from a man's prostate gland to be examined for the presence of prostate cancer. It is typically performed when the result from a PSA blood test is high. It may also be considered advisable after a digital rectal exam (DRE) finds possible abnormality. PSA screening is controversial as PSA may become elevated due to non-cancerous conditions such as benign prostatic hyperplasia (BPH), by infection, or by manipulation of the prostate during surgery or catheterization. Additionally many prostate cancers detected by screening develop so slowly that they would not cause problems during a man's lifetime, making the complications due to treatment unnecessary.

The American College of Radiology (ACR), founded in 1923, is a professional medical society representing nearly 40,000 diagnostic radiologists, radiation oncologists, interventional radiologists, nuclear medicine physicians and medical physicists.

<span class="mw-page-title-main">Breast MRI</span> Form of breast imaging

One alternative to mammography, breast MRI or contrast-enhanced magnetic resonance imaging (MRI), has shown substantial progress in the detection of breast cancer.

<span class="mw-page-title-main">Mammography Quality Standards Act</span> US law

The Mammography Quality Standards Act (MQSA) was enacted by the United States Congress to regulate the quality of care in mammography. The act was officially effective in 1994, and was extended in 2004 to continue through 2007. The U.S. Food and Drug Administration (FDA) began inspections of mammography facilities to ensure compliance in 1995. In 1997, more comprehensive regulation was added to become effective in 1999.

<span class="mw-page-title-main">Breast cyst</span> Medical condition

A breast cyst is a cyst, a fluid-filled sac, within the breast. One breast can have one or more cysts. They are often described as round or oval lumps with distinct edges. In texture, a breast cyst usually feels like a soft grape or a water-filled balloon, but sometimes a breast cyst feels firm.

<span class="mw-page-title-main">Thyroid nodule</span> Medical condition

Thyroid nodules are nodules which commonly arise within an otherwise normal thyroid gland. They may be hyperplastic or tumorous, but only a small percentage of thyroid tumors are malignant. Small, asymptomatic nodules are common, and often go unnoticed. Nodules that grow larger or produce symptoms may eventually need medical care. A goitre may have one nodule – uninodular, multiple nodules – multinodular, or be diffuse.

<span class="mw-page-title-main">Breast cancer screening</span> Medical screening of asymptomatic, healthy women for breast cancer

Breast cancer screening is the medical screening of asymptomatic, apparently healthy women for breast cancer in an attempt to achieve an earlier diagnosis. The assumption is that early detection will improve outcomes. A number of screening tests have been employed, including clinical and self breast exams, mammography, genetic screening, ultrasound, and magnetic resonance imaging.

<span class="mw-page-title-main">Molecular breast imaging</span>

Molecular breast imaging (MBI), also known as scintimammography, is a type of breast imaging test that is used to detect cancer cells in breast tissue of individuals who have had abnormal mammograms, especially for those who have dense breast tissue, post-operative scar tissue or breast implants.

Daniel B. Kopans, MD, FACR is a radiologist specializing in mammography and other forms of breast imaging.

<span class="mw-page-title-main">Breast ultrasound</span> Type of medical imaging

Breast ultrasound is a medical imaging technique that uses medical ultrasonography to perform imaging of the breast. It can be performed for either diagnostic or screening purposes and can be used with or without a mammogram. In particular, breast ultrasound may be useful for younger women who have denser fibrous breast tissue that may make mammograms more challenging to interpret.

<span class="mw-page-title-main">Breast biopsy</span> Surgical diagnostic procedure for breast tumours

A breast biopsy is usually done after a suspicious lesion is discovered on either mammography or ultrasound to get tissue for pathological diagnosis. Several methods for a breast biopsy now exist. The most appropriate method of biopsy for a patient depends upon a variety of factors, including the size, location, appearance and characteristics of the abnormality. The different types of breast biopsies include fine-needle aspiration (FNA), vacuum-assisted biopsy, core needle biopsy, and surgical excision biopsy. Breast biopsies can be done utilizing ultrasound, MRI or a stereotactic biopsy imaging guidance. Vacuum assisted biopsies are typically done using stereotactic techniques when the suspicious lesion can only be seen on mammography. On average, 5–10 biopsies of a suspicious breast lesion will lead to the diagnosis of one case of breast cancer. Needle biopsies have largely replaced open surgical biopsies in the initial assessment of imaging as well as palpable abnormalities in the breast.

<span class="mw-page-title-main">Triple test score</span>

The triple test score is a diagnostic tool for examining potentially cancerous breasts. Diagnostic accuracy of the triple test score is nearly 100%. Scoring includes using the procedures of physical examination, mammography and needle biopsy. If the results of a triple test score are greater than five, an excisional biopsy is indicated.

Dynamic angiothermography (DATG) is a technique for the diagnosis of breast cancer. This technique, though springing from the previous conception of thermography, is based on a completely different principle. DATG records the temperature variations linked to the vascular changes in the breast due to angiogenesis. The presence, change, and growth of tumors and lesions in breast tissue change the vascular network in the breast. Consequently, through measuring the vascular structure over time, DATG effectively monitors the change in breast tissue due to tumors and lesions. It is currently used in combination with other techniques for diagnosis of breast cancer. This diagnostic method is a low-cost one compared with other techniques.

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The Canadian National Breast Screening Study, sometimes abbreviated as CNBSS or NBSS, was a randomized trial conducted with the aim of evaluating whether mammography reduced breast cancer incidence or mortality among women who underwent screening. The trial was initiated in 1980, and was conducted in fifteen screening centers in six different Canadian provinces. It was the first study designed to determine whether mammography was effective among women between the ages of 40 and 49.

<span class="mw-page-title-main">Breast imaging</span>

In medicine, breast imaging is a sub-speciality of diagnostic radiology that involves imaging of the breasts for screening or diagnostic purposes. There are various methods of breast imaging using a variety of technologies as described in detail below. Traditional screening and diagnostic mammography uses x-ray technology and has been the mainstay of breast imaging for many decades. Breast tomosynthesis is a relatively new digital x-ray mammography technique that produces multiple image slices of the breast similar to, but distinct from, computed tomography (CT). Xeromammography and galactography are somewhat outdated technologies that also use x-ray technology and are now used infrequently in the detection of breast cancer. Breast ultrasound is another technology employed in diagnosis and screening that can help differentiate between fluid filled and solid lesions, an important factor to determine if a lesion may be cancerous. Breast MRI is a technology typically reserved for high-risk patients and patients recently diagnosed with breast cancer. Lastly, scintimammography is used in a subgroup of patients who have abnormal mammograms or whose screening is not reliable on the basis of using traditional mammography or ultrasound.

<span class="mw-page-title-main">LI-RADS</span> LI Rads for the Classification of HCC

The Liver Imaging Reporting and Data System is a quality assurance tool created and trademarked by the American College of Radiology in 2011 to standardize the reporting and data collection of CT and MR imaging patients at risk for hepatocellular carcinoma (HCC), or primary cancer of the liver cells. It provides a standardized framework for classification of liver lesions by a radiologist, and only applies in patients with chronic liver disease, the main risk factor for liver cancer. The hierarchical classification, from LR1 to LR5, is based on specific imaging features of the lesion in question, and corresponds to the degree of suspicion for malignancy. For example, a lesion with features corresponding to the highest category, LR5, is "definitely" HCC. Importantly, the increasing acceptance of the LI-RADS system of reporting by referring clinicians has reduced the need for tissue biopsy confirmation of cancer in patients with chronic liver disease.

HB 2102, also known as "Henda's Law", is a breast density (BD) notification law approved in 2011 by the FDA that mammography patients be provided educational materials on dense breast tissue can hide abnormalities, including breast cancer, from traditional screening. Henda's Law aims to promote patient–doctor discussion as well as reduce the rate of false negatives, as mammography may not detect abnormalities in dense breasts.

Dense breast tissue, also known as dense breasts, is a condition of the breasts where a higher proportion of the breasts are made up of glandular tissue and fibrous tissue than fatty tissue. Around 40–50% of women have dense breast tissue and one of the main medical components of the condition is that mammograms are unable to differentiate tumorous tissue from the surrounding dense tissue. This increases the risk of late diagnosis of breast cancer in women with dense breast tissue. Additionally, women with such tissue have a higher likelihood of developing breast cancer in general, though the reasons for this are poorly understood.

References

  1. Mehrjardi MZ (2015). "Bi-RADS® for: mammography and ultrasound (2013 updated version) (PDF Download Available)". ResearchGate. doi:10.13140/rg.2.2.24908.82562/1.
  2. American College of Radiology (ACR) Breast Imaging Reporting and Data System Atlas (BI-RADS Atlas). Reston, Va: © American College of Radiology; 2003
  3. ACR Practice Guideline for the Performance of Ultrasound-Guided Percutaneous Breast Interventional Procedures Res. 29; American College of Radiology; 2009
  4. Sanders MA, Roland L, Sahoo S (2010). "Clinical Implications of Subcategorizing BI-RADS 4 Breast Lesions associated with Microcalcification: A Radiology–Pathology Correlation Study". The Breast Journal. 16 (1): 28–31. doi: 10.1111/j.1524-4741.2009.00863.x . PMID   19929890. S2CID   9585100.
  5. D'Orsi CJ, Sickles EA, Mendelson EB, Morris EA, et al. (2013). ACR BI-RADS® Atlas, Breast Imaging Reporting and Data System. Reston, VA: American College of Radiology.
  6. Nassif H, Woods R, Burnside E, Ayvaci M, Shavlik J, Page D (2009). "Information Extraction for Clinical Data Mining: A Mammography Case Study" (PDF). 2009 IEEE International Conference on Data Mining Workshops. Miami. pp. 37–42. doi:10.1109/icdmw.2009.63. ISBN   978-1-4244-5384-9. PMC   3676897 . PMID   23765123.{{cite book}}: CS1 maint: location missing publisher (link)
  7. Nassif H, Cunha F, Moreira IC, Cruz-Correia R, Sousa E, Page D, Burnside E, Dutra I (2012). "Extracting BI-RADS features from Portuguese clinical texts". 2012 IEEE International Conference on Bioinformatics and Biomedicine. pp. 539–542. doi:10.1109/bibm.2012.6392613. ISBN   978-1-4673-2560-8. PMC   3688645 . PMID   23797461.
  8. Sippo DA, Warden GI, Andriole KP, Lacson R, Ikuta I, Birdwell RL, Khorasani R (2013). "Automated Extraction of BI-RADS Final Assessment Categories from Radiology Reports with Natural Language Processing". Journal of Digital Imaging. 26 (5): 989–994. doi:10.1007/s10278-013-9616-5. PMC   3782591 . PMID   23868515.
  9. Percha B, Nassif H, Lipson J, Burnside E, Rubin D (2012). "Automatic classification of mammography reports by BI-RADS breast tissue composition class". Journal of the American Medical Informatics Association. 19 (5): 913–916. doi:10.1136/amiajnl-2011-000607. PMC   3422822 . PMID   22291166.
  10. Banerjee I, Bozkurt S, Alkim E, Sagreiya H, Kurian AW, Rubin DL (2019-04-01). "Automatic inference of BI-RADS final assessment categories from narrative mammography report findings". Journal of Biomedical Informatics. 92: 103137. doi:10.1016/j.jbi.2019.103137. PMC   6462247 . PMID   30807833.