Does the Initial Enhancement Ratio (IER) Predict which Malignancies are Biologically Significant on a Pre-operative Breast MRI?
Neeti R Bagadiya1, Laura Heacock1, Yiming Gao1, Meghan Jardon1, Samantha Heller1, and Linda Moy1

1Radiology, New York University, New York, NY, United States

Synopsis

Breast MRI allows preoperative identification of patients who may have extensive disease at presentation and allows for appropriate surgical planning and treatment. Despite the high sensitivity of MRI, the role of preoperative surgical staging of breast cancer patients is controversial. There is concern that the high false positive rates of breast MRI lead to additional biopsy procedures and surgeries [1,2]. Abbreviated breast MRI (AB-MR), defined as the first post-contrast scan, has been proposed as an exam that may have a higher specificity compared to conventional breast MRI [3,4]. Two recent studies show that AB-MR has a high PPV for and may preferentially selects for biologically significant tumors, thereby reducing overdiagnosis and overtreatment. The concept of a biologically significant breast cancer has not been defined. We hypothesized that since invasive carcinomas usually demonstrate fast initial uptake of contrast, a threshold of enhancement as determined by initial enhancement ratio (IER) may be associated with the identification of biologically significant breast cancers [5]. We evaluated a cohort of women with known cancer who underwent MRI guided needle localization (MRNL) for a finding that was suspicious for additional disease. We examined whether there was an association with the IER and the likelihood that it would be detected on AB-MR exam. Using Dynacad software we retrospectively reviewed the IER of MRI detected synchronous cancers that underwent MRNL. We found there is a significant correlation between invasive cancers and IER that can aid in the detection of biologically significant synchronous cancers on MRI.

Purpose

Surgical planning of breast cancer relies on adequate assessment of the extent of disease including the size of the primary tumor and the presence or absence of additional disease. Although breast MRI is used for surgical planning, recent studies showed that it led to no improvement in outcome with higher rates of mastectomy [1,2]. Critics of breast MRI state that the exam leads to overdiagnosis of clinically irrelevant disease. We evaluated a cohort of women with a known cancer who underwent MRI guided needle localization (MRNL) for a lesion that was not amenable to MRI guided biopsy. The purpose of this study is to examine the IER of synchronous cancers detected on breast MRI, as a possible marker of biological significance synchronous cancers.

Methods

This is an institutional review board approved retrospective study of patients with biopsy-proven breast cancer who underwent pre-operative MRNL for a synchronous cancer found on MRI. Mean percentage increase of the signal between the pre-contrast and second postcontrast DCE-MRI series (initial enhancement ratio [IER]) was calculated retrospectively using a commercially available software (DynaCAD, Invivo). The highest percentage increase in signal intensity on the initial contrast-enhanced series for a given lesion based on placement of multiple pixels was identified and recorded as IER. IER was then analyzed with respect to biological significance, defined as invasive cancers, for the index and synchronous cancers. Correlation was made with whether the cancer was invasive or in situ, the morphologic features and size of the cancers, and the grade of the tumor. Sensitivity and specificity were calculated using a cut-off of 135% for IER [6]. Spearman rank correlations were used to characterize the association of pathology, grade, and IER.

Results

All patients that underwent MRNL from 2008-2014 were reviewed and 26 patients with synchronous cancers were identified. A total of 55 cancers were included, 3 patients had 2 synchronous cancers each. Of the 26 index cancers, 22 cancers were invasive and 22 cancers were invasive or high grade DCIS. Of the 29 synchronous cancers, 16 were invasive and 20 were invasive or high grade DCIS. The index cancers were larger tumors: 23 were masses (> 5mm), 3 non mass enhancement (NME), and no foci (<5mm). The synchronous cancers included 9 foci (<5mm), 5 NME, and 15 masses (>5mm). The mean initial enhancement ratio for 38 invasive cancers was 175% (range 5-340%), and for 17 non-invasive cancers was 102% (26-170%). Spearman analysis demonstrated a significant positive correlation between IER and invasive index cancers (p=0.012) but not synchronous invasive cancers (p=0.66). A trend towards significance was noted for index invasive cancers (p=0.09) which may reflect the small sample size or the smaller size of synchronous cancers. There was no significant correlation between synchronous invasive cancers and tumor grade (p=0.857). Using a cut-off of 135%, greater than the BIRAD recommended cut-off for early enhancement of >100%, the sensitivity is 81.6% with a confidence interval (CI) of 65.7-92.3%. The specificity is 76.5% with a CI of 50.1-93.2%. The positive predictive value is 88.6% with a CI of 73.3-96.8% and the negative predictive value is 65.0% with a CI of 40.8-84.6%.

Discussion

The data demonstrates a significant positive correlation IER and invasive index cancers. There is not a significant correlation between IER and the synchronous cancers, however morphology such as tumor size were not considered. When the cancers are combined to form a larger cohort there is a moderate to high sensitivity and specificity when using IER at a threshold of 135% to identify biologically significant cancers. These tumors would likely be detected on AB-MR exam.

Conclusion

We found there is a significant correlation between invasive cancers and IER that can aid in the detection of biologically significant cancers on AB-MR exam, demonstrating the utility of an AB-MR exam for diagnostic purposes. Further we demonstrated a potential threshold that could be used to identify biologically significant synchronous cancer and improve surgical outcome. Further evaluation including morphology and a larger cohort would strengthen this conclusion.

Acknowledgements

No acknowledgement found.

References

1. Turnbull L, Brown S, Harvey I, et al: Comparative effectiveness of MRI in breast cancer (COMICE) trial:a randomised controlled trial. Lancet 375:563-71, 2010

2. Bleicher RJ, Ciocca RM, Egleston BL, et al: Association of routine pretreatment magnetic resonance imaging with time to surgery, mastectomy rate, and margin status. J Am Coll Surg 209:180-7; quiz 294-5,2009

3. Kuhl CK, Schrading S, Strobel K, et al. Abbreviated. Breast Magnetic Resonance Imaging (MRI): First Postcontrast Subtracted Images and Maximum-Intensity Projection-A Novel Approach to Breast Cancer Screening With MRI. J Clin Oncol. 2014 Jun 23. pii: JCO.2013.52.5386.

4. Mango VL, Morris EA, Dershaw DD, et al. Abbreviated protocol for breast MRI: Are multiple sequences needed for cancer detection? European Journal of Radiology. Online 2014 Oct 16.

5. Heller SL, Moy L, Lavianlivi S, Moccaldi M, Kim S. Differentiation of malignant and benign breast lesions using magnetization transfer imaging and dynamic contrast-enhanced MRI. Journal of magnetic resonance imaging : JMRI. 2013;37:138-45



Proc. Intl. Soc. Mag. Reson. Med. 24 (2016)
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