Home Interreader Scoring Variability in an Observer Study Using Dual-Modality Imaging for Breast Cancer Detection in Women with Dense Breasts
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Interreader Scoring Variability in an Observer Study Using Dual-Modality Imaging for Breast Cancer Detection in Women with Dense Breasts

Rationale and Objectives

To evaluate variability in the clinical assessment of breast images, we evaluated scoring behavior of radiologists in a retrospective reader study combining x-ray mammography (XRM) and three-dimensional automated breast ultrasound (ABUS) for breast cancer detection in women with dense breasts.

Methods

The study involved 17 breast radiologists in a sequential study design with readers first interpreting XRM-alone followed by an interpretation of combined XRM + ABUS. Each interpretation included a forced Breast Imaging Reporting and Data System scale and a likelihood that the woman had breast cancer. The analysis included 164 asymptomatic patients, including 31 breast cancer patients, with dense breasts and a negative screening XRM. Of interest were interreader scoring variability for XRM-alone, XRM + ABUS, and the sequential effect. In addition, a simulated double reading by pairs of readers of XRM + ABUS was investigated. Performance analysis included receiver operating characteristic analysis, percentile analysis, and κ statistics. Bootstrapping was used to determine statistical significance.

Results

The median change in area under the receiver operating characteristic curve after ABUS interpretation was 0.12 (range 0.04–0.19). Reader agreement was fair with the median interreader κ being 0.26 (0.05–0.48) for XRM-alone and 0.34 (0.11–0.55) for XRM + ABUS (95% confidence interval for the difference in κ, 0.06–0.11). Simulated double reading of XRM + ABUS demonstrated tradeoffs in sensitivity and specificity, but conservative simulated double reading resulted in a significant improvement in both sensitivity (16.7%) and specificity (7.6%) with respect to XRM-alone.

Conclusion

A modest, but statistically significant, increase in interreader agreement was observed after interpretation of ABUS.

Breast imaging methods for the early detection and diagnosis of cancer continue to evolve. Mammography, as the primary screening modality, allows for the early detection of nonpalpable breast cancers and has been shown to reduce breast cancer mortality . Although the overall sensitivity of mammography is 70% to 90%, the sensitivity can range from 30% to 98% depending on whether the breast consists mostly of extremely dense glandular tissue or contains mostly fat . Tumors diagnosed in women with dense breast tissue are currently usually larger and of higher histological grade with a greater likelihood of lymph node metastases, resulting in poorer prognosis . Moreover, the presence of dense breast tissue is associated with an elevated risk for breast cancer with the relative risk more than 5 times greater for women with the most dense breast tissue than for women without dense breast tissue . Nearly 40% of women in the United States have dense breasts and the poor sensitivity of mammography in women with Breast Imaging Reporting and Data System (BI-RADS) composition/density 3 or 4 has resulted in several states passing legislation requiring women be informed of the breast density and the possible need for additional screening with modalities other than mammography .

Based on initial clinical studies using conventional ultrasound , the addition of automated breast ultrasound (ABUS) to screening x-ray mammography (XRM) is expected to yield a benefit to patients with dense breast tissue by providing earlier detection of breast cancers that might be missed by mammography. Hence, a multireader multicase (MRMC) clinical reader study was conducted evaluating the use of ABUS in conjunction with XRM in the breast cancer screening of women with dense breasts and a negative screening XRM (tumor BI-RADS assessment category 1 or 2) . That study involved both semicontinuous reader scoring data (the likelihood of malignancy) and two-category data (cancer versus noncancer) . The reader-assigned likelihoods of malignancy served as the decision variables in an MRMC receiver operating characteristic (ROC) analysis . The BI-RADS assessment categories were used to determine sensitivity and specificity given a predetermined cutoff for the distinction between patients with and without cancer. A statistically significant increase in the overall area under the ROC curve was obtained as well as a statistically significant increase in sensitivity, while a slight decline in specificity failed to reach statistical significance ( Table 1 ) (and Giger et al, manuscript in preparation). In contrast, the work presented here focused more on individual readers and cases and analyzed (1) the reader scoring behavior of the participating radiologists, (2) agreement (or lack thereof) between readers, (3) the impact of the consecutive reading with two modalities (XRM and ABUS in this instance), and (4) the potential of improvement from double reading by pairs of readers. The latter was done through simulations using the reader data. It is important to note that it was not our intent to critique individual radiologists or to determine which radiologist was “better.”

Table 1

Summary of Multicase Multireader Analysis Results Obtained in That Are Relevant to the Work Presented Here: AUC Values (with Standard Error in Parentheses), Sensitivity, and Specificity

XRM-Alone XRM + ABUS_P_ Value AUC 0.65 (0.033) 0.77 (0.035) <.001 Overall sensitivity ∗ 27.1% 57.7% † <.001 Overall specificity ∗ 88.1% 84.0% ‡ .86

ABUS, three-dimensional automated breast ultrasound; AUC, area under the ROC curve; XRM, x-ray mammography.

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Materials and methods

Study Design

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Data Set

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Readers

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Analyses

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ROC analysis

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Likelihood of malignancy

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Forced BI-RADS assessment

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Cohen κ

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“Double reading”

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Results

ROC Analysis

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Figure 1, Receiver operating characteristic (ROC) performance assessment of the 17 readers for the conditions x-ray mammography (XRM)-alone and XRM + three-dimensional automated breast ultrasound (ABUS), as (a) histogram of the area under the ROC curve (AUC) values, (b) the AUC values per reader, and (c) histogram of the change in AUC, Δ(AUC). When referred to by number, readers are ordered throughout this report by increasing AUC XRM value. The error bars are ± standard error as given by the proper binormal ROC model.

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Likelihood of Malignancy

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Figure 2, The change in reader-assigned likelihood of malignancy, Δ(LOM), between the x-ray mammography (XRM)-alone and XRM + three-dimensional automated breast ultrasound (ABUS) conditions for the (a) actually normal cases and (b) actually cancerous cases. In all box plots in this report, the bottom and top of each box denote the 25th and 75th percentiles, respectively, while the horizontal line within denotes the median value. Whiskers extend to mark the range in values not considered outliers, while individual outliers are marked with a “+.”

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Forced BI-RADS Assessment

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Figure 3, The impact of three-dimensional automated breast ultrasound (ABUS) on the identification of breast cancer cases as (a) box plot of the change in the number of cases assigned a Breast Imaging Reporting and Data System (BI-RADS) category 4a or higher by a reader, (b) the change in number of cases assigned a BI-RADS 4a or higher per reader, and (c) box plot of the change in the number of readers assessing a case as BI-RADS 4a or higher.

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Figure 4, The impact of three-dimensional automated breast ultrasound (ABUS) on the identification of breast cancer illustrated by color-coded Breast Imaging Reporting and Data System (BI-RADS) assessment categories for all cases and all readers. BI-RADS categories vary as indicated from blue (category 1), through shades of yellow and orange, to red (category 5). Cases are divided into actually normal cases and actually cancerous cases and then ordered by increasing change in reader-assigned likelihood of malignancy (LOM). Readers are again ordered by increasing AUC XRM .

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Cohen κ

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Figure 5, Interreader agreement as indicated by the interreader κ. The box plots are of the N R (N R − 1)/2, with N R = 17 readers, κ values for the x-ray mammography (XRM)-alone and XRM + three-dimensional automated breast ultrasound (ABUS) conditions for (a) all cases, (b) the normal cases, and (c) the cancer cases.

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Double Reading

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Table 2

Overview of Sensitivities and Specificities in A Posteriori Simulated Double Reading Approaches (by Pairs of Radiologists) for XRM + ABUS (median [95% CI]) and the Changes with Respect to Single Reading Conditions

XRM + ABUS Double Reading Change wrt XRM + ABUS Single Reading Change wrt XRM Single Reading Aggressive Sensitivity 71.0% [61.3%; 77.4%] 13.8% [11.2%; 17.3%] 44.4% [35.2%; 56.3%] Specificity 79.0% [64.7%; 90.2%] −11.6% [−12.8%; −10.5%] −16.7% [−18.2%; −13.3%] Conservative Sensitivity 48.4% [29.0%; 54.8%] −13.9% [−17.2%; −11.1%]16.7% [9.1%; 26.1%] Specificity 97.0% [95.4%; 99.3%] 11.6% [10.6%; 12.8%]7.6% [6.0%; 9.2%]

ABUS, three-dimensional automated breast ultrasound; XRM, x-ray mammography.

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Discussion

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Acknowledgments

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