Dual-Layer Rotation: A Versatile Therapeutic Mammoplasty Technique.

BACKGROUND: Multifocal or complex breast lesions are a challenge for breast-conserving surgery, particularly surgery in small breasts or those located in the upper inner quadrant. The dual-layer rotation technique exploits the idea of manipulating the skin and glandular tissue in separate layers to fill the resection cavity via vertical mammoplasty if skin excision is not required, except in the central area. METHODS: The authors performed a retrospective review of consecutive breast cancer patients who underwent DLR mammoplasty between 2017 and 2019 at a single institution. Clinical data, reoperations, surgical complications, delays in adjuvant treatments, and the need for late revisional surgery were evaluated. Aesthetic outcomes were evaluated objectively and subjectively from photographs. RESULTS: The study included 46 breasts of 40 patients. Tumors were located in the UIQ (30%, 14/46) or in multiple quadrants (22%, 10/46). One third (33%, 13/40) of the patients had a small breast cup size (A-B). Negative margins were primarily achieved in 45 of the 46 breasts. Major complications occurred in three patients, who needed reoperation, and adjuvant therapy was delayed for one of these patients. Late refinement surgery was needed for two patients. The objective and subjective aesthetic outcomes were good or excellent regardless of the tumor position. CONCLUSION: As a novel oncoplastic approach, DLR mammoplasty offers a one-step procedure to treat selected breast cancer patients with challenging resection defects due to different breast sizes or lesion locations. The technique preserves the breast's natural appearance.

Tumor microenvironment and breast cancer survival: combined effects of breast fat, M2 macrophages and hyaluronan create a dismal prognosis.

PURPOSE: Tumor microenvironment, including inflammatory cells, adipocytes and extracellular matrix constituents such as hyaluronan (HA), impacts on cancer progression. Systemic metabolism also influences tumor growth e.g. obesity and type 2 diabetes (T2D) are risk factors for breast cancer. Here, in 262 breast cancer cases, we explored the combined impacts on survival of M2-like tumor associated macrophages (TAMs), the abundance of breast fat visualized as low density in mammograms, and tumor HA, and their associations with T2D. METHODS: Mammographic densities were assessed visually from the diagnostic images and dichotomized into very low density (VLD, density ≤ 10%, "fatty breast") and mixed density (MID, density > 10%). The amounts of TAMs (CD163+ and CD68+) and tumor HA were determined by immunohistochemistry. The data of T2D was collected from the patient records. Statistical differences between the parameters were calculated with Chi square or Mann-Whitney test and survival analyses with Cox's model. RESULTS: A combination of fatty breasts (VLD), abundance of M2-like TAMs (CD163+) and tumor HA associated with poor survival, as survival was 88-89% in the absence of these factors but only 40-47% when all three factors were present (p < 0.001). Also, an association between T2D and fatty breasts was found (p < 0.01). Furthermore, tumors in fatty breasts contained more frequently high levels of M2-like TAMs than tumors in MID breasts (p = 0.01). CONCLUSIONS: Our results demonstrate a dramatic effect of the tumor microenvironment on breast cancer progression. We hypothesize that T2D as well as obesity increase the fat content of the breasts, subsequently enhancing local pro-tumoral inflammation.

Peritumoral ADC values in breast cancer: region of interest selection, associations with hyaluronan intensity, and prognostic significance.

OBJECTIVES: We aimed to evaluate the differences in peritumoral apparent diffusion coefficient (ADC) values by four different ROI selection methods and to validate the optimal method. Furthermore, we aimed to evaluate if the peritumor-tumor ADC ratios are correlated with axillary lymph node positivity and hyaluronan accumulation. METHODS: Altogether, 22 breast cancer patients underwent 3.0-T breast MRI, histopathological evaluation, and hyaluronan assay. Paired t and Friedman tests were used to compare minimum, mean, and maximum values of tumoral and peritumoral ADC by four methods: (M1) band ROI, (M2) whole tumor surrounding ROI, (M3) clockwise multiple ROI, and (M4) visual assessment of ROI selection. Subsequently, peritumor/tumor ADC ratios were compared with hyaluronan levels and axillary lymph node status by the Mann-Whitney U test. RESULTS: No statistically significant differences were found among the four ROI selection methods regarding minimum, mean, or maximum values of tumoral and peritumoral ADC. Visual assessment ROI measurements represented the less time-consuming evaluation method for the peritumoral area, and with sufficient accuracy. Peritumor/tumor ADC ratios obtained by all methods except the clockwise ROI (M3) showed a positive correlation with hyaluronan content (M1, p = 0.004; M2, p = 0.012; M3, p = 0.20; M4, p = 0.025) and lymph node metastasis (M1, p = 0.001; M2, p = 0.007; M3, p = 0.22; M4, p = 0.015), which are established factors for unfavorable prognosis. CONCLUSIONS: Our results suggest that the peritumor/tumor ADC ratio could be a readily applicable imaging index associated with axillary lymph node metastasis and extensive hyaluronan accumulation. It could be related to the biological aggressiveness of breast cancer and therefore might serve as an additional prognostic factor. KEY POINTS: • Out of four different ROI selection methods for peritumoral ADC evaluation, measurements based on visual assessment provided sufficient accuracy and were the less time-consuming method. • The peritumor/tumor ADC ratio can provide an easily applicable supplementary imaging index for breast cancer assessment. • A higher peritumor/tumor ADC ratio was associated with axillary lymph node metastasis and extensive hyaluronan accumulation and might serve as an additional prognostic factor.

Quantitative Volumetric K-Means Cluster Segmentation of Fibroglandular Tissue and Skin in Breast MRI.

Mammographic breast density (MBD) is the most commonly used method to assess the volume of fibroglandular tissue (FGT). However, MRI could provide a clinically feasible and more accurate alternative. There were three aims in this study: (1) to evaluate a clinically feasible method to quantify FGT with MRI, (2) to assess the inter-rater agreement of MRI-based volumetric measurements and (3) to compare them to measurements acquired using digital mammography and 3D tomosynthesis. This retrospective study examined 72 women (mean age 52.4 ± 12.3 years) with 105 disease-free breasts undergoing diagnostic 3.0-T breast MRI and either digital mammography or tomosynthesis. Two observers analyzed MRI images for breast and FGT volumes and FGT-% from T1-weighted images (0.7-, 2.0-, and 4.0-mm-thick slices) using K-means clustering, data from histogram, and active contour algorithms. Reference values were obtained with Quantra software. Inter-rater agreement for MRI measurements made with 2-mm-thick slices was excellent: for FGT-%, r = 0.994 (95% CI 0.990-0.997); for breast volume, r = 0.985 (95% CI 0.934-0.994); and for FGT volume, r = 0.979 (95% CI 0.958-0.989). MRI-based FGT-% correlated strongly with MBD in mammography (r = 0.819-0.904, P < 0.001) and moderately to high with MBD in tomosynthesis (r = 0.630-0.738, P < 0.001). K-means clustering-based assessments of the proportion of the fibroglandular tissue in the breast at MRI are highly reproducible. In the future, quantitative assessment of FGT-% to complement visual estimation of FGT should be performed on a more regular basis as it provides a component which can be incorporated into the individual's breast cancer risk stratification.

Is there a Role for Contrast-enhanced Ultrasound in the Detection and Biopsy of MRI Only Visible Breast Lesions?

BACKGROUND: This study aimed to evaluate the feasibility of contrast-enhanced ultrasound (CEUS) and CEUS-guided interventions in the diagnostics of MRI visible targeted US occult breast lesions. PATIENTS AND METHODS: This retrospective study examined 10 females with 10 occult, MRI only detected breast lesions between July 2014 and April 2017. Targeted second look US followed by CEUS with 2.4 ml of SonoVue® were performed for all of the lesions. After positive CEUS localization the same dose was repeated for confirmation and CEUS-guided interventions were performed. RESULTS: MRI revealed 8 mass lesions with a mean size of 9 mm (range 5-16 mm) and 2 non-mass enhancing lesions of 10 and 20 mm in largest diameters. Targeted US revealed no morphological correlate for the lesions. Five out of 10 lesions (50%) were visible on CEUS. CEUS-guided core biopsy was performed on 4 lesions and 1 was marked with a clip for later surgical removal. Histopathological analysis confirmed 4 of them to be malignant. Three out of 5 nonvisible lesions on CEUS underwent MRI-guided interventions, 1 lesion was scheduled for follow-up as it was non-amenable for MRI biopsy, and 1 lesion was biopsied under US-guidance. Three of these nonvisible lesions on CEUS were confirmed to be malignant. CONCLUSIONS: Based on our preliminary results, CEUS is a feasible tool for detecting many MRI only visible breast lesions, resulting in a more cost effective and less time-consuming practice. It is a more convenient alternative than MRI guided biopsy and has the potential to be included in the diagnostic algorithm which evaluates MRI only visible breast lesions.

Prognostic contribution of mammographic breast density and HER2 overexpression to the Nottingham Prognostic Index in patients with invasive breast cancer.

BACKGROUND: To investigate whether very low mammographic breast density (VLD), HER2, and hormone receptor status holds any prognostic significance within the different prognostic categories of the widely used Nottingham Prognostic Index (NPI). We also aimed to see whether these factors could be incorporated into the NPI in an effort to enhance its performance. METHODS: This study included 270 patients with newly diagnosed invasive breast cancer. Patients with mammographic breast density of <10 % were considered as VLD. In this study, we compared the performance of NPI with and without VLD, HER2, ER and PR. Cox multivariate analysis, time-dependent receiver operating characteristic curve (tdROC), concordance index (c-index) and prediction error (0.632+ bootstrap estimator) were used to derive an updated version of NPI. RESULTS: Both mammographic breast density (VLD) (p < 0.001) and HER2 status (p = 0.049) had a clinically significant effect on the disease free survival of patients in the intermediate and high risk groups of the original NPI classification. The incorporation of both factors (VLD and HER2 status) into the NPI provided improved patient outcome stratification by decreasing the percentage of patients in the intermediate prognostic groups, moving a substantial percentage towards the low and high risk prognostic groups. CONCLUSIONS: Very low density (VLD) and HER2 positivity were prognostically significant factors independent of the NPI. Furthermore, the incorporation of VLD and HER2 to the NPI served to enhance its accuracy, thus offering a readily available and more accurate method for the evaluation of patient prognosis.

Incidentally detected enhancing lesions found in breast MRI: analysis of apparent diffusion coefficient and T2 signal intensity significantly improves specificity.

OBJECTIVES: To evaluate the value of adding T2- and diffusion-weighted imaging (DWI) to the BI-RADS® classification in MRI-detected lesions. METHODS: This retrospective study included 112 consecutive patients who underwent 3.0T structural breast MRI with T2- and DWI on the basis of EUSOMA recommendations. Morphological and kinetic features, T2 signal intensity (T2 SI) and apparent diffusion coefficient (ADC) findings were assessed. RESULTS: Thirty-three (29.5 %) patients (mean age 57.0 ± 12.7 years) had 36 primarily MRI-detected incidental lesions of which 16 (44.4 %) proved to be malignant. No single morphological or kinetic feature was associated with malignancy. Both low T2 SI (P = 0.009) and low ADC values (≤0.87 × 10-3 mm2s-1, P < 0.001) yielded high specificity (80.0 %/80.0 %). The BI-RADS classification supplemented with information from DWI and T2-WI improved the diagnostic performance of the BI-RADS classification as sensitivity remained 100 % and specificity improved from 30 % to 65.0 %. The numbers of false positive lesions declined from 39 % (N = 14) to 19 % (N = 7). CONCLUSION: MRI-detected incidental lesions may be challenging to characterize as they have few specific malignancy indicating features. The specificity of MRI can be improved by incorporating T2 SI and ADC values into the BI-RADS assessment. KEY POINTS: • MRI-detected incidental lesions have few specific malignancy indicating features. • ≥ 1 suspicious morphologic or kinetic feature may warrant biopsy. • T2 signal intensity and DWI assessment are feasible in primarily MRI-detected lesions. • T2 SI and DWI assessment improve the BI-RADS specificity in MRI-detected lesions.

The reciprocal association between mammographic breast density, hyaluronan synthesis and patient outcome.

Low mammographic breast density (MBD) and increased hyaluronan (HA) synthesis have been shown to have adverse effects on breast cancer prognosis. We aimed at elucidating the background of risk associated with mammographic characteristics, MBD and HA and its synthesizing isoforms in an attempt to uncover potential underlying biological mechanisms. MBD and mammographic characteristics of 270 patients were classified according to percentile density (very low density VLD, ≤25 %; mixed density MID, >25 %) and the BI-RADS 5th edition lexicon. Breast density and mammographic features were correlated with the localization and expression of HA, CD44, and HAS1-3 isoforms, and their combined effect on patients' survivals was explored. VLD showed an increased level of HA-positive carcinoma cells and stromal HA, HAS2, and HAS3. Tumors presenting as masses had more HA-positive carcinoma cells and more stromal HAS2 and HAS3. Indistinct margin tumors showed more stromal HA and HAS3. Patients who combined both VLD breasts with either high HA in carcinoma cells or stroma showed a worse prognosis compared to low levels (carcinoma cells 58.0 vs. 80.5 %, p = 0.001; stroma 64.2 vs. 79.6 %, p = 0.017), while no similar HA-related effect was observed in MID breasts. Our findings suggest a strong reciprocal relationship between low MBD and HA expression and synthesis. The expression of both factors simultaneously leads to an especially adverse prognostic effect which might have an impact on treatment decision in the future. Moreover, HA around cancer cells may inhibit chemotherapy agents and antibody treatments from reaching cancer cells.

Very low mammographic breast density predicts poorer outcome in patients with invasive breast cancer.

OBJECTIVES: To examine the prognostic value of mammographic breast density (MBD) and mammographic features and their relationship with established prognostic factors in patients with invasive breast cancer. METHODS: Mammographic characteristics of 270 patients were analyzed. MBD was classified according to percentile density (<5%, 5-10%, 10-25%, 25-50%, 50-75%, >75%) and further categorized into very low density (VLD; <10%), low density (LOD; <25%) and mixed density (MID; >25%). Mammographic features were compared with established prognostic factors and patient outcomes while correcting for possible confounders. RESULTS: MBD was inversely associated with tumour grade (p = 0.019). Patients with LOD breasts had worse prognoses compared to those with MID breasts (disease-free survival 74.7% vs. 84.8%, p = 0.048; overall survival 75.3% vs. 90.2%, p = 0.003). Patients with VLD breasts showed the strongest significance compared to the remaining patients, even after adjusting for age, body mass index, and menopausal status. No other mammographic feature was prognostically significant. In Cox regression analysis, VLD proved to be an independent, poor prognostic feature (hazard ratio = 3.275; p < 0.001). CONCLUSION: In patients with newly diagnosed breast cancer, very low MBD proved to be an independent prognostic feature, associated with higher tumour grade and predicted worse survival even after correcting for possible confounders. KEY POINTS: • Percentile mammographic breast density was associated with patient prognosis. • Very low density proved to be an independent poor prognostic factor. • Only patients with densities <10% displayed this difference in survival. • Mammographic breast density was inversely associated with histological tumour grade.

[Axillary ultrasound for a breast cancer patient and changing international treatment practices]. / Rintasyöpäpotilaan kainalon kaikukuvaus ja muuttuvat kansainväliset hoitokäytännöt.

INTRODUCTION: We explored the effects of novel treatment practices on radiological examinations of the axilla in Finland. PATIENTS AND METHODS: Axillary ultrasound was performed for 178 new breast cancer patients preoperatively. A core biopsy was taken from the suspected lymph nodes, and the finding was compared with the postoperative results. RESULTS: Ultrasound in combination with the core biopsy detects 61.6% of the macrometastases. Ultrasound detected almost all axilla having a high tumor burden. CONLUSIONS: Preoperative axillary ultrasound and core biopsy for suspected lymph nodes before the operation is still recommended for all breast cancer patients. Frozen section examination of the sentinel lymph node can be omitted if preoperatively the primary tumour is unifocal, less than 15mm and the axillary ultrasound finding negative.

Radiological features of screening-detected and interval breast cancers and subsequent survival in Eastern Finnish women.

Interval breast cancers are diagnosed between scheduled screenings and differ in many respects from screening-detected cancers. Studies comparing the survival of patients with interval and screening-detected cancers have reported differing results. The aim of this study was to investigate the radiological and histopathological features and growth rates of screening-detected and interval breast cancers and subsequent survival. This retrospective study included 942 female patients aged 50-69 years with breast cancers treated and followed-up at Kuopio University Hospital between January 2010 and December 2016. The screening-detected and interval cancers were classified as true, minimal-signs, missed, or occult. The radiological features were assessed on mammograms by one of two specialist breast radiologists with over 15 years of experience. A χ2 test was used to examine the association between radiological and pathological variables; an unpaired t test was used to compare the growth rates of missed and minimal-signs cancers; and the Kaplan-Meier estimator was used to examine survival after screening-detected and interval cancers. Sixty occult cancers were excluded, so a total of 882 women (mean age 60.4 ± 5.5 years) were included, in whom 581 had screening-detected cancers and 301 interval cancers. Disease-specific survival, overall survival and disease-free survival were all worse after interval cancer than after screening-detected cancer (p < 0.001), with a mean follow-up period of 8.2 years. There were no statistically significant differences in survival between the subgroups of screening-detected or interval cancers. Missed interval cancers had faster growth rates (0.47% ± 0.77%/day) than missed screening-detected cancers (0.21% ± 0.11%/day). Most cancers (77.2%) occurred in low-density breasts (< 25%). The most common lesion types were masses (73.9%) and calcifications (13.4%), whereas distortions (1.8%) and asymmetries (1.7%) were the least common. Survival was worse after interval cancers than after screening-detected cancers, attributed to their more-aggressive histopathological characteristics, more nodal and distant metastases, and faster growth rates.

Specimen tomosynthesis provides no additional value to specimen ultrasound in ultrasound-visible malignant breast lesions.

BACKGROUND: The aim of this study was to evaluate the accuracy and added value of specimen tomosynthesis (ST) to specimen ultrasound (SUS) in margin assessment of excised breast specimens in breast-conserving therapy for non-palpable US-visible breast lesions. MATERIALS: Between January 2018 and August 2019, all consecutive patients diagnosed with non-palpable breast cancer visible by ultrasound (US), treated with breast-conserving surgery (BCS) and requiring radiological intraoperative breast specimen assessment, were included in this study. Excised breast specimens were examined with SUS by radiologists blinded to the ST results, and margins smaller than 10 mm were recorded. STs were evaluated retrospectively by experienced radiologists. RESULTS: A total of 120 specimens were included. SUS showed a statistically significant correlation with pathological margin measurements, while ST did not and provided no additional information. The odds ratios (ORs) for SUS to predict a positive margin was 3.429 (confidence interval (CI) = 0.548-21.432) using a 10-mm cut-off point and 14.182 (CI = 2.134-94.254) using a 5-mm cut-off point, while the OR for ST were 2.528 (CI = 0.400-15.994) and 3.188 (CI = 0.318-31.998), respectively. CONCLUSIONS: SUS was superior in evaluating intraoperative resection margins of US-visible breast resection specimens when compared to ST. Therefore, ST could be considered redundant in applicable situations.

Axillary lymph node biopsy in newly diagnosed invasive breast cancer: comparative accuracy of fine-needle aspiration biopsy versus core-needle biopsy.

PURPOSE: To compare the diagnostic accuracy of ultrasonographically (US)-guided fine-needle aspiration biopsy (FNAB) and core-needle biopsy (CNB) of the axillary lymph nodes (LNs) of patients with newly diagnosed invasive breast cancer. MATERIALS AND METHODS: This prospective single-center study had institutional review board approval, and written informed consent was obtained. Between April 2011 and March 2012, 178 consecutive patients (182 axillae) were evaluated by using axillary US. Sixty-six axillae fulfilled the inclusion criteria (cortical thickness greater than 2 mm or abnormal morphologic characteristics), and patients with these axillae underwent US-guided axillary LN biopsy. Both FNAB and CNB were obtained from the same suspicious LN. Patients with biopsy-proved metastasis underwent axillary clearance, and those with a negative biopsy underwent sentinel LN biopsy with completion axillary clearance if needed. Diagnostic performance was calculated separately for US, FNAB, and CNB. Statistical differences in sensitivities were evaluated by using the McNemar test. RESULTS: From the total study population, 45.6% (83 of 182 axillae) had metastases. A total of 66 axillae underwent both FNAB and CNB. The sensitivity for US was 61.4% (51 of 83 axillae), and specificity was 84.8% (84 of 88 axillae). The sensitivities for FNAB and CNB were 72.5% (37 of 51 axillae) and 88.2% (45 of 51 axillae), respectively (P = .008). Specificity for both was 100% (15 of 15 axillae). The negative predictive value for FNAB was 81.7%, and that for CNB was 91.2%. The positive predictive value was 100% for both methods. CONCLUSION: When accurate preoperative staging of the axilla is needed in patients with newly diagnosed invasive breast cancer, CNB is more sensitive than FNAB.

Diagnostic performance of tomosynthesis, digital mammography and a dedicated digital specimen radiography system versus pathological assessment of excised breast lesions.

BACKGROUND: The aim of the study was to compare the performance of full-field digital mammography (FFDM), digital breast tomosynthesis and a dedicated digital specimen radiography system (SRS) in consecutive patients, and to compare the margin status of resected lesions versus pathological assessment. PATIENTS AND METHODS: Resected tissue specimens from consecutive patients who underwent intraoperative breast specimen assessment following wide local excision or oncoplastic breast conservative surgery were examined by FFDM, tomosynthesis and SRS. Two independent observers retrospectively evaluated the visibility of lesions, size, margins, spiculations, calcifications and diagnostic certainty, and chose the best performing method in a blinded manner. RESULTS: We evaluated 216 specimens from 204 patients. All target malignant lesions were removed with no tumouron-ink. One papilloma had positive microscopic margins and one patient underwent reoperation owing to extensive in situ components. There were no significant differences in measured lesion size among the three methods. However, tomosynthesis was the most accurate modality when compared with the final pathological report. Both observers reported that tomosynthesis had significantly better lesion visibility than SRS and FFDM, which translated into a significantly greater diagnostic certainty. Tomosynthesis was superior to the other two methods in identifying spiculations and calcifications. Both observers reported that tomosynthesis was the best performing method in 76.9% of cases. The interobserver reproducibilities of lesion visibility and diagnostic certainty were high for all three methods. CONCLUSIONS: Tomosynthesis was superior to SRS and FFDM for detecting and evaluating the target lesions, spiculations and calcifications, and was therefore more reliable for assessing complete excision of breast lesions.

Area-based breast percentage density estimation in mammograms using weight-adaptive multitask learning.

Breast density, which is a measure of the relative amount of fibroglandular tissue within the breast area, is one of the most important breast cancer risk factors. Accurate segmentation of fibroglandular tissues and breast area is crucial for computing the breast density. Semiautomatic and fully automatic computer-aided design tools have been developed to estimate the percentage of breast density in mammograms. However, the available approaches are usually limited to specific mammogram views and are inadequate for complete delineation of the pectoral muscle. These tools also perform poorly in cases of data variability and often require an experienced radiologist to adjust the segmentation threshold for fibroglandular tissue within the breast area. This study proposes a new deep learning architecture that automatically estimates the area-based breast percentage density from mammograms using a weight-adaptive multitask learning approach. The proposed approach simultaneously segments the breast and dense tissues and further estimates the breast percentage density. We evaluate the performance of the proposed model in both segmentation and density estimation on an independent evaluation set of 7500 craniocaudal and mediolateral oblique-view mammograms from Kuopio University Hospital, Finland. The proposed multitask segmentation approach outperforms and achieves average relative improvements of 2.88% and 9.78% in terms of F-score compared to the multitask U-net and a fully convolutional neural network, respectively. The estimated breast density values using our approach strongly correlate with radiologists' assessments with a Pearson's correlation of [Formula: see text] (95% confidence interval [0.89, 0.91]). We conclude that our approach greatly improves the segmentation accuracy of the breast area and dense tissues; thus, it can play a vital role in accurately computing the breast density. Our density estimation model considerably reduces the time and effort needed to estimate density values from mammograms by radiologists and therefore, decreases inter- and intra-reader variability.

Association between breast cancer's prognostic factors and 3D textural features of non-contrast-enhanced T1 weighted breast MRI.

OBJECTIVES: The aim of this exploratory study was to evaluate whether three-dimensional texture analysis (3D-TA) features of non-contrast-enhanced T1 weighted MRI associate with traditional prognostic factors and disease-free survival (DFS) of breast cancer. METHODS: 3D-T1 weighted images from 78 patients with 81 malignant histopathologically verified breast lesions were retrospectively analysed using standard-size volumes of interest. Grey-level co-occurrence matrix (GLCM)-based features were selected for statistical analysis. In statistics the Mann-Whitney U and the Kruskal-Wallis tests, the Cox proportional hazards model and the Kaplan-Meier method were used. RESULTS: Tumours with higher histological grade were significantly associated with higher contrast (1 voxel: p = 0.033, 2 voxels: p = 0.036). All the entropy parameters showed significant correlation with tumour grade (p = 0.015-0.050) but there were no statistically significant associations between other TA parameters and tumour grade. The Nottingham Prognostic Index (NPI) was correlated with contrast and sum entropy parameters. A higher sum variance TA parameter was a significant predictor of shorter DFS. CONCLUSION: Texture parameters, assessed by 3D-TA from non-enhanced T1 weighted images, indicate tumour heterogeneity but have limited independent prognostic value. However, they are associated with tumour grade, NPI, and DFS. These parameters could be used as an adjunct to contrast-enhanced TA parameters. ADVANCES IN KNOWLEDGE: 3D-TA of non-contrast enhanced T1 weighted breast MRI associates with tumour grade, NPI, and DFS. The use of non-contrast 3D-TA parameters in adjunct with contrast-enhanced 3D-TA parameters warrants further research.

Diagnostic performance of the Kaiser score for characterizing lesions on breast MRI with comparison to a multiparametric classification system.

PURPOSE: To determine the diagnostic performance of the Kaiser score and to compare it with the BI-RADS-based multiparametric classification system (MCS). METHOD: Two breast radiologists, blinded to the clinical and pathological information, separately evaluated a database of 499 consecutive patients with structural 3.0 T breast MRI and 697 histopathologically verified lesions. The Kaiser scores and corresponding MCS categories were recorded. The sensitivity and specificity of the Kaiser score and the MCS categories to differentiate benign from malignant lesions were calculated. The interobserver reproducibility and receiver operating characteristic (ROC) parameters were analysed. RESULTS: The sensitivity and specificity of the MCS were 100 % and 12 %, respectively, and those of the Kaiser score were 98.5 % and 34.8 % for reader 1 and 98.7 % and 47.5 % for reader 2. The area under the ROC-curve was 85.9 and 87.6 for readers 1 and 2. The interobserver intraclass correlation coefficient was excellent at 0.882. Reader 1 upgraded six lesions from BI-RADS 3 to a Kaiser score of >4, and reader 2 upgraded seven lesions. When applying the Kaiser score to 158 benign lesions readers 1 and 2 would have reduced the biopsy rate by 22.8 % and 35.4 %, respectively. CONCLUSIONS: The Kaiser score showed high diagnostic accuracy with excellent interobserver reproducibility. The MCS had perfect sensitivity but low specificity. Although the Kaiser score had slightly lower sensitivity, its specificity was 3-4 times greater than that of the MCS. Thus, the Kaiser score has the potential to considerably reduce the biopsy rate for true negative lesions.

The mammographic breast density distribution of Finnish women with breast cancer and comparison of breast density reporting using the 4th and 5th editions of the Breast Imaging-Reporting and Data System.

PURPOSE: To examine the breast density distribution in patients diagnosed with breast cancer in an eastern Finnish population and to examine the changes in breast density reporting patterns between the 4th and 5th editions of the Breast Imaging-Reporting and Data System (BI-RADS). METHOD: 821 women (mean age 62.8 ± 12.2 years, range 28-94 years) with breast cancer were included in this retrospective study and their digital mammographic examinations were assessed semi-automatically and then visually by two radiologists in accordance with the 4th and 5th editions of the BI-RADS. Intraclass correlation coefficients (ICCs) were used to evaluate interobserver reproducibility. Chi-square tests were used to examine the associations between the breast density distribution and age or body mass index (BMI). RESULTS: Interobserver reproducibility of the visual assessment was excellent, with an ICCr = 0.93. The majority of breast cancers occurred in fatty breasts (93.8 %) when density was assessed according to the 4th edition of the BI-RADS. The distributions remained constant after correction for age and BMI. Using the 5th edition, there was an overall 50.2 % decrease in almost entirely fatty (p < 0.001), 19.4 % increase in scattered fibroglandular (p < 0.001), 28.7 % increase in heterogeneously dense (p < 0.001), and 2.1 % increase in extremely dense (p < 0.001) categories. CONCLUSIONS: Most breast cancers in eastern Finland occur in fatty breasts with an area density of < 50 %. Assessing breast density using the 5th edition of the BI-RADS greatly increased denser assessments.

Multi-level dilated residual network for biomedical image segmentation.

We propose a novel multi-level dilated residual neural network, an extension of the classical U-Net architecture, for biomedical image segmentation. U-Net is the most popular deep neural architecture for biomedical image segmentation, however, despite being state-of-the-art, the model has a few limitations. In this study, we suggest replacing convolutional blocks of the classical U-Net with multi-level dilated residual blocks, resulting in enhanced learning capability. We also propose to incorporate a non-linear multi-level residual blocks into skip connections to reduce the semantic gap and to restore the information lost when concatenating features from encoder to decoder units. We evaluate the proposed approach on five publicly available biomedical datasets with different imaging modalities, including electron microscopy, magnetic resonance imaging, histopathology, and dermoscopy, each with its own segmentation challenges. The proposed approach consistently outperforms the classical U-Net by 2%, 3%, 6%, 8%, and 14% relative improvements in dice coefficient, respectively for magnetic resonance imaging, dermoscopy, histopathology, cell nuclei microscopy, and electron microscopy modalities. The visual assessments of the segmentation results further show that the proposed approach is robust against outliers and preserves better continuity in boundaries compared to the classical U-Net and its variant, MultiResUNet.