Diagnostic performance of Kaiser score in patients with newly diagnosed breast cancer: Factors associated with false-negative results.

PURPOSE: To investigate the factors associated with false-negative results in the diagnosis of breast cancer via breast magnetic resonance imaging (MRI) using the Kaiser score (KS). METHODS: This institutional review board (IRB)-approved, single-center, retrospective study enrolled 219 consecutive histopathologically proven breast cancer lesions in 205 women who underwent preoperative breast MRI. Two breast radiologists evaluated each lesion according to the KS. The clinicopathological characteristics and imaging findings were also analyzed. Interobserver variability was assessed using the intraclass correlation coefficient (ICC). Multivariate regression analysis was used to investigate factors associated with false-negative KS results for breast cancer diagnosis. RESULTS: Of 219 breast cancers, KS yielded 200 (91.3%) true-positive and 19 (8.7%) false-negative results. The interobserver ICC for the KS between the two readers was good, with a value of 0.804 (95% CI 0.751-0.846). Multivariate regression analysis revealed that small lesion size (≤1 cm) (adjusted OR 6.86, 95% CI 2.14-21.94, p = 0.001) and personal breast cancer history (adjusted OR 7.59, 95% CI, 1.55-37.23, p = 0.012) were significantly associated with false-negative KS results. CONCLUSION: Small lesion size (≤1 cm) and presence of personal breast cancer history are factors significantly associated with false-negative KS results. Our results suggest that radiologists should consider these factors in clinical practice as potential pitfalls of KS, which may be compensated for by a multimodal approach combined with clinical evaluation.

The Utility of Quantitative Parameters of Shear-Wave Elastography to Predict Prognostic Histologic Features of Breast Cancer.

ABSTRACT: In this study, we aimed to investigate the correlation of stiffness values of shear-wave elastography (SWE) and histopathological prognostic factors in patients with breast cancer. Between January 2021 and June 2022, SWE images of 138 core-biopsy proven breast cancer lesions from 132 patients were retrospectively reviewed. Histopathogic prognostic factors, including tumor size, histologic grade, histologic type, hormone receptor positivity, human epidermal growth factor receptor (HER2) status, immunohistochemical subtype and Ki-67 index were documented. Elasticity values including mean and maximum elasticity ( Emean and Emax ) and lesion-to-fat ratio ( Eratio ) were recorded. The association between histopathological prognostic factors and elasticity values were assessed using Mann-Whitney U and Kruskal-Wallis test, and multiple linear regression analysis. Tumor size, histological grade, and Ki-67 index were significantly associated with the Eratio ( P < 0.05). Larger tumor size and higher Ki-67 index also showed significantly higher Emean and Emax values ( P < 0.05). However, hormone receptor positivity, HER2 status, and immunohistochemical subtype were not significantly associated with elasticity values ( P > 0.05). Multivariate logistic regression analysis revealed that tumor size was significantly associated with Emean , Emax , and Eratio values ( P < 0.05). A high Ki-67 index was also significantly associated with high Eratio values. Larger tumor size and higher Ki-67 index are independently associated with high Eratio values. Preoperative SWE may improve the performance of conventional ultrasound in predicting prognosis and treatment planning.

What is the role of breast MRI in the management of women with pathologic nipple discharge and normal conventional imaging?

BACKGROUND/AIMS: To investigate the diagnostic performance of breast MRI in revealing mammographically and sonographically occult lesions requiring excision in patients with pathologic nipple discharge. MATERIALS AND METHODS: In this retrospective study, 57 women with pathologic nipple discharge who had normal or inconclusive mammography and ultrasonography results and underwent breast MRI were determined. Patients who had histopathological diagnosis or ≥ 1-year imaging follow-up were included. MRIs were classified as positive and negative according to final BI-RADS assessment categories. Diagnostic performance of MRI, including sensitivity, specificity, negative predictive value, and positive predictive value, was calculated for detecting both malignancy and lesions requiring surgery. RESULTS: Abnormal contrast enhancement on the pathologic nipple discharge side was detected in 29 MRIs (50.8%), categorized as BI-RADS 4. Abnormal findings were solid masses in 17 cases (58.6%) and non-mass enhancement in 12 cases (41.3%). Despite normal conventional imaging results, 4 malignant lesions and 16 lesions requiring surgery were detected with MRI. The sensitivity and specificity of MRI for detecting lesions requiring surgery were 100% and 68.2%, respectively. The positive predictive value (PPV) and negative predictive value were 55.1% and 100%, respectively. CONCLUSION: In conclusion, this study confirmed that MRI is a reliable tool to detect lesions requiring surgery in patients with pathologic nipple discharge. MRI should be used in routine workup in patients with normal conventional imaging and imaging follow-up can be safely applied in patients with negative MRI.

Impact of Menopausal Status on Imaging Findings of Patients With Triple-Negative Breast Cancer.

OBJECTIVE: To investigate whether there are differences in multimodality imaging characteristics of patients with triple-negative breast cancer (TNBC) based on menopausal status. METHODS: This IRB-approved retrospective study reviewed clinicopathologic features and radiological imaging findings of 81 patients with TNBC, of whom 38.2% (31/81) were pre- and perimenopausal and 61.7% (50/81) postmenopausal. Data analysis was performed using the chi-square test or Fisher's exact test, and a P-value of <0.05 was considered significant. Subgroup analysis excluding non-basal TNBCs was also conducted. RESULTS: Fifty-eight percent (18/31) of TNBCs in the premenopausal group were round or oval in shape, whereas irregularly shaped tumors accounted for 82.0% (41/50) in postmenopausal group (P < 0.001). Associated calcifications were more common in the postmenopausal group (59.5% (25/42) versus 16.6% (3/18)) (P = 0.07). The subgroup analyses that included only basal-type TNBCs were also consistent with these results. Sixty percent (15/25) of basal-like TNBCs in the premenopausal group had a round or oval shape, whereas 82.3% (28/34) of tumors in the postmenopausal group had an irregular shape (P = 0.001). Moreover, 36.0% (9/25) of basal-like TNBCs in the premenopausal group had microlobulated margins, while 73.5% (25/34) of the postmenopausal group had spiculated margins (P = 0.001). On MRI, most common finding was a T2 hyperintense mass with rim enhancement. CONCLUSION: Menopausal status should be taken into consideration when considering breast cancer phenotype. Although imaging findings alone are not sufficient for determining the phenotype, such information can aid better understanding of the biological behavior of TNBCs.

Is There Any Association Between Mammographic Features of Microcalcifications and Breast Cancer Subtypes in Ductal Carcinoma In Situ?

RATIONALE AND OBJECTIVES: To analyze the association between mammographic features of microcalcifications and histopathological prognostic factors based on estrogen receptor (ER) and human epidermal growth factor receptor 2 (HER2/neu) in ductal carcinoma in situ (DCIS). MATERIALS AND METHODS: We retrospectively determined 66 patients with microcalcification-associated pure DCIS. Distribution and morphological features of the microcalcifications were described using Breast Imaging Reporting and Data System lexicon. All patients were divided into three subgroups: ER-positive, HER-2 positive, and triple-negative according to the immunohistochemical findings. RESULTS: The morphological features of microcalcifications and receptor subtypes were significantly correlated (p = 0.026). Fine pleomorphic and fine linear branching microcalcifications were observed in 85.2% of HER-2 positive cases, whereas this ratio was 71.4 % in ER-positive and 25% in the triple-negative group. Fine linear branching microcalcifications with linear or segmental distribution were more frequently found with comedo necrosis (p < 0.05). Larger tumour sizes were also associated with microcalcification distribution (p < 0.001). Segmental microcalcifications more likely associated with larger tumour sizes. CONCLUSION: Mammographic features in DCIS correlated with immunohistochemical and histopathological prognostic factors.

Accuracy in tumor size measurements: Comparison of digital mammography, digital breast tomosynthesis and synthetic mammography.

PURPOSE: The aim of this study was to assess the accuracy of digital mammography (DM), digital breast tomosynthesis (DBT) and synthetic mammography (SM) in tumor size measurements compared with histological tumor sizes. MATERIALS AND METHODS: 71 breast cancer patients who underwent DM and DBT acquisitions simultaneously were included in this study. One radiologist with 8 years of experience in breast imaging measured tumor sizes independently in three separate sessions which include DM, DBT and SM images, respectively. The correlations between the measured tumor sizes on each imaging technique and histological sizes were analyzed using Spearman correlation test. The patients were categorized into two subgroups according to assigned breast density categories (dense and non-dense), and histological tumor sizes (≤2 cm and > 2 cm). To assess the agreement levels between the measured tumor sizes and histological sizes Bland-Altman analyses were performed for each imaging technique. RESULTS: The mean of histological size of tumors was 23.85 ±â€¯16.57 mm (median: 20). The means of measured tumor sizes were 21.21 ±â€¯13.59 mm (median: 19), 21.52 ±â€¯13.42 mm (median: 19) and 18.97 ±â€¯11.21 mm (median: 17) in DM, DBT and SM, respectively. The Spearman correlation values with histologic sizes were 0.814 (P < 0.001), 0.887 (P < 0.001), and 0.852 (P < 0.001) for DM, DBT and SM, respectively. In subgroup analyses, the correlation values showed decrement for tumors >2 cm in size compared to tumors ≤2 cm in size. CONCLUSION: DBT provides the most accurate tumor size measurements among mammographic imaging techniques and if mammography will be used in tumor size measurements, DBT should be preferred.