Printer Friendly

Changing Paradigms in Breast Cancer Screening: Abbreviated Breast MRI.


The Current State of Breast Cancer Screening

Mammography is a widely available breast cancer screening tool with established performance metrics, and is the only imaging modality proven in multiple prospective randomized clinical trials to decrease the breast cancer mortality rate by 25% to 40% (1-4). While mammography remains the mainstay of breast cancer screening, some studies show that biologically aggressive tumors (i.e., high grade, hormone-receptor negative cancers) are less likely to be detected by mammography screening alone (5-7). Furthermore, the rate of advanced breast cancers did not decrease in countries that implemented nationalized mammography screening programs (8, 9). These facts have led to the controversial claim that mammography may result in over diagnosis of small in situ or estrogen receptor positive remove, indolent invasive cancers (10) while it fails to detect the more aggressive and fast growing ones, including triple negative breast cancers that are negative for estrogen, progesterone and human epidermal growth factor 2 (HER- 2) receptors or those which overexpress HER- 2 (HER-2 amplified). These tumors may be masked by the presence of dense breast tissue or have imaging findings that make their detection more difficult or suggestive of benign disease (11, 12). The decrease in mammographic sensitivity is exacerbated in younger women with dense breast tissue and in women at high risk for the development of breast cancer, particularly BRCA 1 and BRCA2 mutation carriers (12). Failure to detect these biologically aggressive tumors results in the development of interval cancers: i.e., cancers that become clinically apparent between two rounds of routine screening with mammography. Screening-detected and interval cancers appear to be distinct, both in underlying genetics and tumor biology (13, 14).

The addition of supplemental screening modalities to mammography, including breast ultrasound and digital breast tomosynthesis (DBT), has been shown to increase the cancer detection rate (CDR) in women with dense breast tissue. The addition of breast ultrasound to mammography in women with dense breast tissue detects an additional 3.7 cancers per 1000 patients screened (15, 16). While ultrasound is more likely to identify small, node negative, invasive cancers, it is time consuming to perform, even with automated breast ultrasound methods (ABUS), with scanning times that range upwards of 20 minutes for hand held devices (17, 18). More importantly, ultrasound has a much lower positive predictive value of biopsy (PPV3=0.11) compared to mammography (PPV3=0.29), resulting in many more biopsies being performed for benign disease (15, 18).

Digital breast tomosynthesis (DBT) detects 1.2 additional cancers per 1000 patients screened (19) but produces many more images for the radiologist to inspect and increases the time required for interpretation. Furthermore, DBT fundamentally remains a type of mammography, in which the lack of soft tissue contrast in women with dense breast tissue results in the very modest gain in cancer detection.

High Risk Breast MRI Screening

Currently, dynamic contrast enhanced breast magnetic resonance imaging (DCE-MRI) is the most sensitive imaging method for breast cancer detection. DCE-MRI relies on the contrast enhancement characteristics of breast cancer relative to the background breast parenchyma. Numerous studies have shown DCE-MRI to be superior to mammography and ultrasound in identifying breast cancer at a significantly earlier stage in high-risk screening populations (12, 20, 21). Not only does screening with breast MRI result in a higher sensitivity (71-100%) than mammography (13%-59%) and ultrasound (13%-65%), a significant number of MRI detected cancers (43%) are less than 1 cm in size when compared with those detected by mammography and ultrasound ( p<0.001) (12, 20-22). Furthermore, the sensitivity of MRI in detecting these additional cancers is unaffected by the age of the patient, their breast density, or their genetic mutation status (23).

Magnetic resonance imaging-detected breast cancers have the advantage of being less frequently associated with axillary nodal metastases (21.4%) when compared with mammography detected cancers (54.6% p<0.001) (12). The improved performance of MRI over traditional screening modalities translates into improved overall survival in patients with BRCA1 and 2 mutations. Evans et al. (24) used the prospective magnetic resonance imaging breast screening study (MARIBS) patient survival data on 649 women aged 35-55 years who received annual MRI screening based on the presence of a proven or likely BRCA1, BRCA2, or TP53 mutation in addition to 338 patients who underwent screening MRI after the implementation of the National Institute for Health and Care Guidance (NICE) criteria endorsing MRI screening. Ten-year overall survival (OS) rate for patients screened with MRI in addition to mammography was 95.3% compared to 87.7% in patients screened with mammography alone. In light of compelling evidence that supports MRPs superior sensitivity, the American College of Radiology (ACR) and the American Cancer Society (ACS) currently recommend intensive imaging screening with DCE-MRI for women with BRCA 1 and BRCA 2 mutations or women at a greater than 20% lifetime risk for the development of breast cancer using computer-based risk assessment models (25, 26).

Magnetic resonance imaging is a highly technical and expensive imaging modality, traditionally requiring multiple pulse sequences for diagnostic evaluation. The acquisition and table times required for standard DCE- MRI protocols range between 20-60 minutes (27) and are a limiting factor in the population-based use of DCE-MRI for breast cancer screening. Women who refused breast MRI screening as part of the American College of Radiology Imaging Network (ACRIN) 6666 trial reported that the long scan times required and the claustrophobia of the magnet bore itself were reasons for their refusal to undergo a breast MRI as a supplemental breast cancer screening tool (15, 28).

The Concept of Abbreviated Breast MRI

Similar to the paradigm of screening and diagnostic mammography, some have proposed that a stripped-down, shortened contrast-enhanced MRI protocol containing the minimum number of sequences required for the detection of suspicious enhancing lesions (abbreviated MRI, or AB-MRI) might be sufficient for breast cancer screening, with a full diagnostic MRI protocol reserved for the characterization and differentiation of benign from malignant disease (29). In 2014, Kuhl et al. (30) reported a retrospective reader study in which a full diagnostic DCE-MRI consisting of 8 different pulse sequences was obtained on a cohort of 443 women with a mildly elevated risk of breast cancer or dense breast tissue. Separate interpretations of the complete DCE-MRI and a subset of images containing only the unenhanced images and the first post contrast dynamic sequence had equivalent diagnostic accuracy and negative predictive value for detecting breast cancer. AB-MRI had a very high cancer yield: using the AB- MRI images only, 11 cancers were detected, resulting in a cancer detection rate of 18.1 per 1000. Four of the cancers were ductal carcinoma in situ (DCIS), and seven were invasive cancers. All of the invasive cancers were less than 1.0 cm in size, and there were no axillary metastases identified clinically or at sentinel lymph node biopsy. The specificity and positive predictive value of AB-MRI was equivalent to the full DCE- MRI (94.3% versus 93.9% and 24.8% versus 23.4%) (30). The negative predictive value of the AB-MRI was 99.8%. The mean acquisition time was three minutes for the AB-MRI versus 17 minutes for the full DCE-MRI, with a reading time of less than 30 seconds for the abbreviated protocol. Other retrospective reader studies have reported similar results (31-33).

The AB-MRI protocol reported by Kuhl did not include a T2 weighted series as required by the ACR for accreditation of breast MRI, nor did it include the full dynamic series of post contrast images. While the European Society of Breast Imaging recommends either a pre-contrast T1 weighted or T2 weighted series be obtained (34), both societies require that a full dynamic series before and after the administration of contrast be obtained. The full dynamic sequence allows the use of computer aided detection and time-intensity-curves that help differentiate benign from malignant enhancing lesions (35, 36) (Figure 1). The T2 weighted sequence allows for the differentiation of benign, enhancing, fat containing masses such as fibroadenomas, intramammary lymph nodes, and fat necrosis from malignant enhancing masses (Figure 2). Thus, while obtaining a full dynamic sequence and a T2-weighted series may increase the overall scan time by 4-6 minutes, the advantage is being able to have all the signals (fat, water, and contrast) available should a cancer be detected, and pre-operative lesion extent derived from MR images be required, without having to perform a second dedicated diagnostic scan.

In 2018 Dogan et al. (27) reported the development of an AB-MRI protocol consisting of a single T2-weighted series combined with a dynamic contrast-enhanced T1-weighted series before and after the administration of intravenous contrast. This protocol used Dixon based imaging for fat suppression with both series, where T2-weighted images were acquired using a fast spin echo (FSE) triple echo Dixon sequence (37) and T1-weighted images were acquired using a dual-echo fast spoiled gradient echo (FSPGR) sequence (38). The Dixon method acquires two or more echoes after a single radiofrequency (RF) excitation, followed by advanced reconstruction algorithms to achieve uniform fat/water separation. This method generates both a water-only (i.e. fat-suppressed) image and a fat-only image, which can be subsequently combined to reconstruct the in-phase (i.e. non-fat-suppressed) image in a single acquisition (39), and is well-suited for the AB-MRI protocol. In contrast to the traditional methods of fat suppression using chemically-selective fat saturation, Dixon-based methods achieve uniform fat suppression even in the presence of BO inhomogeneities (40), which are commonly encountered in breast MRI (41). Large abbreviated MRI series using differing protocols are compared in Table 1.

The flexibility of Dixon acquisitions make this approach compatible with both T1-weighted gradient echo (GRE) based acquisitions (38) and T2-weighted FSE based acquisitions (37). By combining the advantages of fast scanning of FSE with the efficient fat/water separation of the Dixon method into a single scan, significantly shorter scan times (1-1.5 minutes) were realized for T2-weighted imaging (37, 38, 42). Since this approach also generates T2-weighted images with and without fat suppression in a single acquisition, this eliminates the necessity of additional T2-weighted acquisitions, significandy decreasing the total scan times. Similarly, the use of dual-echo FSPGR for DCE-MRI generates T1-weighted images with and without fat suppression in a single acquisition. In addition to providing uniform fat suppression, this approach also eliminates the necessity of subtracting post-contrast images from the pre-contrast image, thus minimizing motion artifacts. In Dogan's study, the AB-MRI incorporating T2-weighted FSE-Dixon and T1-weighted FSPGR-Dixon, required a mean acquisition time of 9.4 minutes with a total table time of 13.92 minutes which was statistically significantly different (p<0.0001) than the 22 minute mean acquisition time and the 35.87 minute total table time required by the traditional DCE-MRI (27).

The use of Dixon sequences with AB-MRI allows for both T2- and T1-weighted images with and without fat suppression, which are then used for reading. Since these provide all the signal and anatomical information of a conventional DCE- MRI protocol, these image sets can be accessed by the reader on an as needed basis for the further evaluation of enhancing lesions, thereby obviating the need for the patient to return for an additional "diagnostic" MRI for further evaluation.

In addition to decreasing MRI scan time to almost the same as mammography acquisition time, there is evidence that AB-MRI can provide image quality benefits (43). Standard DCE-MRI and AB-MRI were compared in a reader study for adequacy of fat saturation, degree of fat saturation, presence and severity of artifact, and the image quality of normal anatomic structures (nipple, fibro-glandular tissue, lymph nodes, and chest wall) (27). Compared to the DCE-MRI protocol, the AB-MRI protocol had statistically significant less motion artifact (p<0.0001) and better fat saturation (p=0.004). The reduced motion artifact was attributable to the much shorter scan time in which patient motion is reduced. The fat saturation was most improved in the posterior aspect of the breast allowing for better evaluation of the chest wall and axillary lymph nodes. There was no significant difference regarding lesion type, lesion margin, or enhancement pattern between the standard DCE-MRI and the AB-MRI, and the final BIRADS assessment of each was identical (27).

AB-MRI in Average Risk Women

If AB-MRI protocols are adopted successfully, AB-MRI for screening may become more widely available to women at average or mildly elevated risk for the development of breast cancer, such as women with dense breast tissue or those with a personal history of breast cancer (44). In a study of AB-MRI in a cohort of women at average risk for the development of breast cancer, with no evidence of cancer with traditional screening methods, Kuhl et al. (45) found an unexpectedly high cancer detection rate of 15.1 per 1000 women screened. Like the cancers detected in high risk women, the majority were small, T1 invasive cancers and over 90% were node negative. The cancers detected were of intermediate (39%) or high histologic grade (43%) with one third of cancers being of the triple negative subtype. The positive predictive value (PPV) of the AB-MRI was 35.7% well within the range of PPV accepted for mammographic screening (25-40%). Additionally, the interval cancer rate in women undergoing several rounds of screening with AB-MRI was zero. After conclusion of the study, when the women returned to traditional breast cancer screening methods, no cancers were detected by mammography or ultrasound within the first three years.

In the United States, contrast-enhanced breast MRI current procedural terminology (CPT) code is currently the same independent of the time required for the examination. However, decreasing scan time can potentially have a downstream effect of driving down the AB-MRI cost to the patient. Furthermore, finding aggressive breast cancers at an earlier stage would decrease the severity and cost of treatment, resulting in further cost savings. Furthermore, the fact that patients had no mammography or ultrasound-detected cancer for three years after screening MRI in the study by Kuhl et al. (45) suggests that AB-MRI screening may have a "protective" effect on subsequent breast cancer detection so that the frequency of screening might be reduced in average risk women, another significant cost saving.

AB-MRI for Screening Women with Dense Breast Tissue--The EA1141 Trial

The effect of breast density legislation in the United States has prompted the evaluation of supplemental screening methods for breast cancer detection in women with dense breast tissue who are without other breast cancer related risk factors. "Comparison of AB-MRI and DBT in Breast Cancer Screening in Women with Dense Breasts", the EA-1141 Trial, is a prospective multicenter trial of the ECOG/ACRIN. Women ages 40-75 with dense breast tissue (BIRADS C or D) but not at increased risk of breast cancer will undergo DBT and AB-MRI in randomized order for two consecutive years. Metrics assessed will be the cancer detection rate (CDR) of the two modalities as well as the histopathological profiles of cancers detected by the two imaging methods. The study will also assess patient reported quality of life as well as their willingness to undergo repeated breast MRI for breast cancer screening. The trial leaves the specific sequences of the abbreviated protocol up to the individual centers and only requires that the scans be obtained in less than ten minutes. Patient accrual has been completed and results are expected within the next year.

AB-MRI in Women with a Personal History of Breast Cancer

Abbreviated breast MRI has more recently been shown to be of benefit for women with a personal history of breast cancer but no other breast cancer risk factors. Choi et al. (46) reported the outcomes of AB-MRI in a cohort of 725 women with a personal history of breast cancer. AB-MRI detected 12 cancers in 12 women (CDR 15 per 1000 women screened). At the time of AB-MRI screening there was no evidence of malignancy with previously performed mammography or ultrasound. The sensitivity of the AB-MRI was 100% and the specificity was 89.2%. All AB-MRI detected cancers except one were node negative, T1 invasive cancers, or DCIS. These outcomes are comparable to outcomes reported in other series of women with a personal history of breast cancer, but who underwent a full DCE-MRI (47, 48).


Abbreviated breast MRI consisting of a single T2 weighted fast spin echo (FSE) triple echo Dixon sequence and a dual echo fast spoiled gradient echo sequence (FSPGR) before and after the administration of contrast, compliant with ACR standards for the accreditation of breast MRI, with sensitivity for breast cancer detection equivalent to full protocol DCE-MRI, but with greatly reduced scan and table times, is feasible. While cancers detected with AB-MRI are usually small T1, node negative invasive cancers, they often have aggressive histopathological tumor profiles. Given its superior performance and the greatly reduced scan times resulting from the use of abbreviated protocols, AB-MRI has the potential to replace mammography as a stand-alone imaging tool for the detection of breast cancer, not only in high risk women, but in women of average or mildly elevated risk, such as women with dense breast tissue or a personal history of breast cancer.

Informed Consent: Externally peer-reviewed.

Author Contributions: Concept - B.E.D., A.R.M.; Supervision - B.E.D.; Literature Search-A.R.M.; Writing Manuscript-A.R.M. ,AJ.M., B.E.D.; Critical Review - B.E.D.

Acknowledgements: The authors wish to acknowledge Susannie Washington for her assistance with manuscript preparation and submission.

Conflict of Interest: The authors have no conflicts of interest to declare.

Financial Disclosure: The authors declared that this study has received no financial support.


(1.) Duffy SW, Tabar L, Chen HH, Holmqvist M, Yen MF, Abdsalah S, Epstein B, Frodis E, Ljungberg E, Hedborg-Melander C, Sundbom A, Tholin M, Wiege M, Akerlund A Wu HM, Tung TS, Chiu YH, Chiu CP, Huang CC, Smith RA, Rosen M, Stenbeck M, Holmberg L. The impact of organized mammography service screening on breast carcinoma mortality in seven Swedish counties. Cancer 2002; 95: 458-469. (PMID: i2209737) [CrossRef ]

(2.) Tabar L, Yen MF, Vitak B, Chen HH, Smith RA, Duffy SW. Mammography service screening and mortality in breast cancer patients: 20-year follow-up before and after introduction of screening. Lancet 2003; 361: 1405-1410. (PMID: 12727392) [CrossRef]

(3.) Tabar L, Vitak B, Chen TH, Yen AM, Cohen A, Tot T, Chiu SY, Chen SL, Fann JC, Rosell J, Fohlin H, Smith RA, Duffy SW. Swedish two-county trial: impact of mammographic screening on breast cancer mortality during 3 decades. Radiology 2011; 260: 658-663. (PMID: 21712474) [CrossRef]

(4.) Hendrick RE, Smith RA, Rutledge JH, 3rd, Smart CR Benefit of screening mammography in women aged 40-49: a new meta-analysis of randomized controlled trials. J Natl Cancer Inst Monogr 1997: 87-92. (PMID: 9709282) [CrossRef]

(5.) Sung JS, Stamler S, Brooks J, Kaplan J, Huang T Dershaw DD, Lee CH, Morris EA, Comstock CE. Breast Cancers Detected at Screening MR Imaging and Mammography in Patients at High Risk: Method of Detection Reflects Tumor Histopathologic Results. Radiology 2016; 280: 716-722. (PMID: 27097237) [CrossRef]

(6.) Podo F, Santoro F, Di Leo G, Manoukian S, de Giacomi C, Corcione S, Cortesi L, Carbonaro LA, Trimboli RM, Cilotti A, Preda L, Bonanni B, Pensabene M, Martincich L, Savarese A, Contegiacomo A, Sardanelli F. Triple-Negative versus Non-Triple-Negative Breast Cancers in High-Risk Women: Phenotype Features and Survival from the HIBCRIT-1 MRI-Including Screening Study. Clin Cancer Res 2016; 22: 895-904. (PMID: 26503945) [CrossRef]

(7.) Kuhl CK Abbreviated breast MRI for screening women with dense breast: the EA1141 trial. Br J Radiol 2018; 91:20170441. (PMID: 28749202) [CrossRef]

(8.) Bleyer A, Welch HG. Effect of three decades of screening mammography on breast-cancer incidence. N Engl J Med 2012; 367: 1998-2005. (PMID: 23171096) [CrossRef]

(9.) Welch HG, Prorok PC, O'Malley AJ, Kramer BS. Breast-Cancer Tumor Size, Overdiagnosis, and Mammography Screening Effectiveness. N Engl J Med 2016; 375: 1438-1447. (PMID: 27732805) [CrossRef]

(10.) Welch HG, Black WC Overdiagnosis in cancer. J Natl Cancer Inst 2010; 102: 605-613. (PMID: 20413742) [CrossRef]

(11.) Yang WT, Dryden M, Broglio K, Gilcrease M, Dawood S, Dempsey PJ, Valero V Hortobagyi G, Atchley D, Arun B. Mammographic features of triple receptor-negative primary breast cancers in young premenopausal women. Breast Cancer Res Treat 2008; 111: 405-410. (PMID: 18026834) [CrossRef]

(12.) Kriege M, Brekelmans CT, Boetes C, Besnard PE, Zonderland HM, Ob-deijn IM, Manoliu RA, Kok T, Peterse H, Tilanus-Linthorst MM, Muller SH, Meijer S, Oosterwijk JC, Beex LV, Tollenaar RA, de Koning HJ, Rutgers EJ, Klijn JG. Magnetic Resonance Imaging Screening Study G. Efficacy of MRI and mammography for breast-cancer screening in women with a familial or genetic predisposition. N Engl J Med 2004; 351: 427-437. (PMID: 15282350) [CrossRef]

(13.) Holm J, Humphreys K, Li J, Ploner A, Cheddad A, Eriksson M, Torn-berg S, Hall P Czene K. Risk factors and tumor characteristics of interval cancers by mammographic density. J Clin Oncol 2015; 33: 1030-1037. (PMID: 25646195) [CrossRef]

(14.) Li J, Holm J, Bergh J, Eriksson M, Darabi H, Lindstrom LS,Tornberg S, Hall P, Czene K. Breast cancer genetic risk profile is differentially associated with interval and screen-detected breast cancers. Ann Oncol 2016; 27: 1181. (PMID: 26945009) [CrossRef]

(15.) Berg WA, Zhang Z, Lehrer D, Jong RA, Pisano ED, Barr RG, Bohm-Velez M, Mahoney MC, Evans WP, 3rd, Larsen LH, Morton MJ, Mendelson EB, Farria DM, Cormack JB, Marques HS, Adams A, Yeh NM, Gabrielli G, Investigators A. Detection of breast cancer with addition of annual screening ultrasound or a single screening MRI to mammography in women with elevated breast cancer risk. JAMA 2012; 307: 1394-1404. (PMID: 22474203) [CrossRef]

(16.) Berg WA. Current Status of Supplemental Screening in Dense Breasts. J Clin Oncol 2016; pii: JC0658674. (PMID: 26962096) [CrossRef]

(17.) Giger ML, Inciardi MF, Edwards A, Papaioannou J, Drukker K, Jiang Y, Brem R, Brown JB. Automated Breast Ultrasound in Breast Cancer Screening of Women With Dense Breasts: Reader Study of Mammog-raphy-Negative and Mammography-Positive Cancers. AJR Am J Roentgenol 2016; 206: 1341-1350. (PMID: 27043979) [CrossRef]

(18.) Brem RF, Tabar L, Duffy SW, Inciardi MF, Guingrich JA, Hashimoto BE, Lander MR, Lapidus RL, Peterson MK, Rapelyea JA, Roux S, Schilling KJ, Shah BA, Torrente J, Wynn RT, Miller DP. Assessing improvement in detection of breast cancer with three-dimensional automated breast US in women with dense breast tissue: the SomoInsight Study. Radiology 2015; 274: 663-673. (PMID: 25329763) [CrossRef]

(19.) Rafferty EA, Durand MA, Conant EF, Copit DS, Friedewald SM, Plecha DM, Miller DP. Breast Cancer Screening Using Tomosynthesis and Digital Mammography in Dense and Nondense Breasts. JAMA 2016; 315: 1784-1786. (PMID: 27115381) [CrossRef]

(20.) Sardanelli F, Podo F. Breast MR imaging in women at high-risk of breast cancer. Is something changing in early breast cancer detection? Eur Radiol 2007; 17: 873-887. (PMID: 17008989) [CrossRef]

(21.) Leach MO, Boggis CR, Dixon AK, Easton DF, Eeles RA, Evans DG, Gilbert FJ, Griebsch I, Hoff RJ, Kessar P, Lakhani SR, Moss SM, Nerurkar A, Padhani AR, Pointon LJ, Thompson D, Warren RM, group Ms. Screening with magnetic resonance imaging and mammography of a UK population at high familial risk of breast cancer: a prospective multicentre cohort study (MARIBS). Lancet 2005; 365: 1769-1778. (PMID: 15910949) [CrossRef]

(22.) Warner E, Plewes DB, Shumak RS, Catzavelos GC, Di Prospero LS, Yaffe MJ, Goel V, Ramsay E, Chart PL, Cole DE, Taylor GA, Cutrara M, Samuels TH, Murphy JP, Murphy JM, Narod SA. Comparison of breast magnetic resonance imaging, mammography, and ultrasound for surveillance of women at high risk for hereditary breast cancer. J Clin Oncol 2001; 19:3524-3531. (PMID: 11481359) [CrossRef]

(23.) Riedl CC, Luft N, Bernhart C, Weber M, Bernathova M, Tea MK, Rudas M, Singer CF, Helbich TH. Triple-modality screening trial for familial breast cancer underlines the importance of magnetic resonance imaging and questions the role of mammography and ultrasound regardless of patient mutation status, age, and breast density. J Clin Oncol 2015; 33: 1128-1135. (PMID: 25713430) [CrossRef]

(24.) Evans DG, Kesavan N, Lim Y, Gadde S, Hurley E, Massat NJ, Maxwell AJ, Ingham S, Eeles R, Leach MO, Group M, Howell A, Duffy SW. MRI breast screening in high-risk women: cancer detection and survival analysis. Breast Cancer Res Treat 2014; 145: 663-672. (PMID: 24687378) [CrossRef]

(25.) Monticciolo DL, Newell MS, Moy L, Niell B, Monsees B, Sickles EA. Breast Cancer Screening in Women at Higher-Than-Average Risk: Recommendations From the ACR. J Am Coll Radiol 2018; 15(3 PtA):408-414. (PMID: 29371086) [CrossRef]

(26.) Saslow D, Boetes C, Burke W, Harms S, Leach MO, Lehman CD, Morris E, Pisano E, Schnall M, Sener S, Smith RA, Warner E, Yaffe M, Andrews KS, Russell CA, American Cancer Society Breast Cancer Advisory G. American Cancer Society guidelines for breast screening with MRI as an adjunct to mammography. CA Cancer J Clin 2007; 57: 75-89. (PMID: 17392385) [CrossRef]

(27.) Dogan BE, Scoggins ME, Son JB, Wei W, Candelaria R, Yang WT, Ma J. American College of Radiology-Compliant Short Protocol Breast MRI for High-Risk Breast Cancer Screening: A Prospective Feasibility Study. AJR AmJ Roentgenol 2018; 210: 214-221. (PMID: 29091003) [CrossRef]

(28.) Berg WA, Blume JD, Adams AM, Jong RA, Barr RG, Lehrer DE, Pisano ED, Evans WP, 3rd, Mahoney MC, Hovanessian Larsen L, Gabrielli GJ, Mendelson EB. Reasons women at elevated risk of breast cancer refuse breast MR imaging screening: ACRIN 6666. Radiology 2010; 254: 79-87. (PMID: 20032143) [CrossRef]

(29.) Niell BL, Gavenonis SC, Motazedi T, Chubiz JC, Halpern EP, Rafferty EA, Lee JM. Auditing a breast MRI practice: performance measures for screening and diagnostic breast MRI. J Am Coll Radiol 2014; 11: 883-889. (PMID: 24787571) [CrossRef]

(30.) Kuhl CK, Schrading S, Strobel K, Schild HH, Hilgers RD, Bieling HB. Abbreviated breast magnetic resonance imaging (MRI): first postcontrast subtracted images and maximum-in tensity projection-a novel approach to breast cancer screening with MRI. J Clin Oncol 2014; 32: 2304-2310. (PMID: 24958821) [CrossRef]

(31.) Grimm LJ, Soo MS, Yoon S, Kim C, Ghate SV, Johnson KS. Abbreviated screening protocol for breast MRI: a feasibility study. Acad Radiol 2015; 22: 1157-1162. (PMID: 26152500) [CrossRef]

(32.) Harvey SC, Di Carlo PA, Lee B, Obadina E, Sippo D, Mullen L. An Abbreviated Protocol for High-Risk Screening Breast MRI Saves Time and Resources. J Am Coll Radiol 2016; 13: 374-380. (PMID: 26521970) [CrossRef]

(33.) Mango VL, Morris EA, David Dershaw D, Abramson A, Fry C, Mos-kowitz CS, Hughes M, Kaplan J, Jochelson MS. Abbreviated protocol for breast MRI: are multiple sequences needed for cancer detection? Eur J Radiol 2015; 84: 65-70. (PMID: 25454099) [CrossRef]

(34.) Mann RM, Kuhl CK, Kinkel K, Boetes C. Breast MRI: guidelines from the European Society of Breast Imaging. Eur Radiol 2008; 18: 1307-1318. (PMID: 18389253) [CrossRef]

(35.) Kuhl CK, Mielcareck P, Klaschik S, Leutner C, Wardelmann E, Gieseke J, Schild HH. Dynamic breast MR imaging: are signal intensity time course data useful for differential diagnosis of enhancing lesions? Radiology 1999; 211: 101-110. (PMID: 10189459) [CrossRef]

(36.) Partridge SC, Stone KM, Strigel RM, DeMartini WB, Peacock S, Lehman CD. Breast DCE-MRI: influence of postcontrast timing on automated lesion kinetics assessments and discrimination of benign and malignant lesions. Acad Radiol 2014; 21: 1195-1203. (PMID: 24998690) [CrossRef]

(37.) Ma J, Son JB, Zhou Y, Le-Petross H, Choi H. Fast spin-echo triple-echo dixon (fTED) technique for efficient T2-weighted water and fat imaging. Magn Reson Med 2007;58: 103-109. (PMID: 17659631) [CrossRef]

(38.) Ma J,VuAT, Son JB, Choi H, HazleJD. Fat-suppressed three-dimensional dual echo Dixon technique for contrast agent enhanced MRI. J Magn Reson Imaging 2006; 23: 36-41. (PMID: 16315212) [CrossRef]

(39.) Madhuranthakam AJ, Yu H, Shimakawa A, Busse RF, Smith MP, Reeder SB, Rofsky NM, Brittain JH, McKenzie CA. T(2)-weighted 3D fast spin echo imaging with water-fat separation in a single acquisition. J Magn Reson Imaging 2010; 32: 745-751. (PMID: 20815077) [CrossRef]

(40.) Wang X, Harrison C, Mariappan YK, Gopalakrishnan K, Chhabra A, Lenkinski RE, Madhuranthakam AJ. MR Neurography of Brachial Plexus at 3.0 T with Robust Fat and Blood Suppression. Radiology 2017; 283: 538-546. (PMID: 28005489) [CrossRef]

(41.) Lee SK, Hancu I. Patient-to-patient variation of susceptibility-induced B(0) field in bilateral breast MRI. J Magn Reson Imaging 2012; 36: 873-880. (PMID: 22689505) [CrossRef]

(42.) Son JB, Hwang KP, Madewell JE, Bayram E, Hazle JD, Low RN, Ma J. A flexible fast spin echo triple-echo Dixon technique. Magn Reson Med 2017; 77. 1049-1057. (PMID: 26982770) [CrossRef]

(43.) Dogan BE, Ma J, Hwang K, Liu P, Yang WT. T1-weighted 3D dynamic contrast-enhanced MRI of the breast using a dual-echo Dixon technique at 3 T J Magn Reson Imaging 2011; 34: 842-851. (PMID: 21769987) [CrossRef]

(44.) Monticciolo DL, Newell MS, Hendrick RE, Helvie MA, Moy L, Monsees B, Kopans DB, Eby PR, Sickles FA. Breast Cancer Screening for Average-Risk Women: Recommendations From the ACR Commission on Breast Imaging. J Am Coll Radiol 2017; 14: 1137-1143. (PMID: 28648873) [CrossRef]

(45.) Kuhl CK, Strobel K, Bieling H, Leutner C, Schild HH, Schrading S. Supplemental Breast MR Imaging Screening of Women with Average Risk of Breast Cancer. Radiology 2017; 283: 361-370. (PMID: 28221097) [CrossRef]

(46.) Choi BH, Choi N, Kim MY, Yang JH, Yoo YB, Jung HK. Usefulness of abbreviated breast MRI screening for women with a history of breast cancer surgery. Breast Cancer Res Treat 2018; 167: 495-502. (PMID: 29030785) [CrossRef]

(47.) Gweon HM, Cho N, Han W, Yi A, Moon HG, Noh DY, Moon WK. Breast MR imaging screening in women with a history of breast conservation therapy Radiology 2014; 272:366-373. (PMID: 24635678) [CrossRef]

(48.) Brennan S, Liberman L, Dershaw DD, Morris E. Breast MRI screening of women with a personal history of breast cancer. AJR Am J Roentgenol 2010; 195: 510-516. (PMID: 20651211) [CrossRef]

Ann R. Mootz [iD], Ananth J. Madhuranthakam [iD], Basak E. Dogan [iD]

Department of Radiology, University of Texas Southwestern Medical School, Dallas, USA

DOI: 10.5152/ejbh.2018.4402
Table 1. Diagnostic performance of abbreviated MRI in the screening

                  Study Type     Sequences

Kuhl et al. (30)  Retrospective  1. Pre-and
                                 postcontrast T1,
                                 non-fatsat 2. MIP
Kuhl et al. (45)  Prospective    1. T2-weighted axial
                                 2. Pre-and postcontrasl
                                 T1, non-fatsat
Choi et al. (46)  Prospective    1. T2-weighted axial
                                 2. Pre-and
                                 postcontrast T1

                  Patient Risk Factor     (*) CDR  Sensitivity

Kuhl et al. (30)  Dense breast tissue or  18.2     100%
                  Family history of
                  breast cancer
Kuhl et al. (45)  Average risk            15.5     100%
Choi et al. (46)  Personal history of     15.0     100%
                  breast cancer

                  Specificity  (**) ppv  [yen]NPV

Kuhl et al. (30)  NA            NA       99.8%

Kuhl et al. (45)  97.1%         97.1%    100%
Choi et al. (46)  89.2%         61.5%    100%

(*) CDR: Cancer detection rate, per 1000 screened women; (**) PPV:
Positive predictive value; [yen] NPV: Negative Predictive Value
No portion of this article can be reproduced without the express written permission from the copyright holder.
Copyright 2019 Gale, Cengage Learning. All rights reserved.

Article Details
Printer friendly Cite/link Email Feedback
Title Annotation:magnetic resonance imaging
Author:Mootz, Ann R.; Madhuranthakam, Ananth J.; Dogan, Basak E.
Publication:European Journal of Breast Health
Article Type:Report
Date:Jan 1, 2019
Previous Article:Excisional Biopsies for Diagnosis and Treatment of Breast Lumps in Nigerian Women.
Next Article:Use of the Patent Blue and Air in the Preoperative Marking of Impalpable Breast Lesions.

Terms of use | Privacy policy | Copyright © 2022 Farlex, Inc. | Feedback | For webmasters |