Breast cancer is one of the leading causes of female morbidity and mortality. Management options vary between lesions of BIRADS categories 3 and 4. Therefore, reliable differentiation would improve outcome. Although sonomammography and contrast-enhanced breast magnetic resonance imaging (CE-MRI) remain the cornerstone for assessment of breast disease, additional, non-invasive techniques can be used to increase the efficiency of evaluation such as shear wave elastography (SWE) and diffusion-weighted magnetic resonance imaging (DW-MRI). This prospective study included 66 breast lesions that were categorized as BIRADS 3 or 4 by ultrasound ± mammography. All lesions were evaluated by SWE, CE-MRI and DW-MRI. For SWE, lesions were evaluated by both qualitative and quantitative methods. For CE-MRI, both morphological and kinematic evaluations were done and for DW-MRI, both qualitative and quantitative assessments were studied. Results of all imaging modalities were correlated to histopathology.
Thirty-seven out of the examined 66 lesions (56.06%) were categorised as BIRADS 3, out of which 1 (2.7%) turned out to be malignant on histopathology and 36 (97.29%) were proved benign. Twenty-nine (43.93%) were categorized as BIRADS 4, out of which 2 (6.89%) turned out to be benign on pathology and 27 (93.1%) were proved malignant. Morphological and kinematic evaluations of CE-MRI showed 92.59% and 92.86%sensitivity, 94.74% and 84.21% specificity, 92.59 and 81.25%PPV, 94.74 and 94.12% NPV, and 93.85% and 87.88% accuracy respectively. Color-coded scoring of SWE showed indices of 89.29%, 68.42%, 67.57%, 89.66%, and 77.27% respectively. The calculated cut-off value for Emax differentiating benign from malignant was 65.15 kpa, resulting in indices of 96.43%, 57.89%, 95.65%, 62.79%, and 74.24% respectively. For Eratio, the calculated cut-off value was 4.55, resulting in indices of 71.43%, 68.42%, 76.47%, 62.50% and 69.70% respectively. For qualitative evaluation of DW-MRI, indices were 78.57%, 65.79%, 62.86%, 80.65%, and 71.21% respectively. For ADC, the calculated cut-off value was 1.25 × 103 mm2/s, which resulted in indices of 75.00%, 84.21%, 82.05%, 77.78%, and 80.30% respectively.
CE-MRI showed the best diagnostic performance indices. While, SWE and DW-MRI present variable diagnostic performance, both techniques can be used as an adjunct to other imaging modalities to aid the clinical decision and increase its diagnostic confidence.
Breast cancer is a major cause of female morbidity and mortality . Sonomammography (SMG) is the gold standard for evaluation of breast cancer. However, adding other non-invasive modalities to the assessment may improve the efficiency of evaluation of breast disease.
Elastography (either shear wave or stain) is one of the technical advances of ultrasound (US) that can be utilised to non-invasively evaluate the stiffness of a certain lesion and consequently assess its potential of malignancy . Shear wave elastography (SWE) records the velocity of a shear wave during the excitation of an acoustic radiation force, producing both an elastography color-coded map and a quantitative measurement of the stiffness of tissues .
Diffusion-weighted magnetic resonance imaging (DW-MRI) is a non-contrast enhanced technique of magnetic resonance imaging that utilizes water molecule microscopic motion to produce an image and is reported to have the potential of differentiating malignant from benign tissue, both qualitatively (via visually detecting the signal of a lesion) or quantitatively (via measuring apparent diffusion coefficient-ADC) .
The objective of this study was to evaluate the additive value of using either SWE or DW-MRI in differentiating lesions categorized as BIRADS 3 or 4, both being non-invasive techniques that can be utilized in the preoperative setting in the clinical decision making. BIRADS 3 and 4 lesions are of particular clinical concern where they commonly present a clinical dilemma due to the considerable overlap of some of their radiologic features, especially that management options differ greatly between both categories.
This study included 66 lesions from 66 female patients who presented to the breast clinic of our institution during the period from January 2018 to January 2020 with variable breast complaints, including palpable lumps (either breast or axillary), mastalgia and nipple discharge. Their ages ranged from 30 to 68 years (mean age = 44.76 ± 11.52 SD). For each patient, we included a single lesion that was characterised as either BIRADS 3 (probably benign) or BIRADS 4 (probably malignant) based on US ± mammography. We excluded breast lesions that were categorized as BIRADS 1, 2 and 5 on SMG. We also excluded those with contraindications to contrast media administration (such as pregnancy or major renal impairment) and those with a general contraindication to magnetic resonance imaging (such as pacemakers, cochlear implants, claustrophobia, etc.).
All patients provided informed written consent to participate in the study and our institutional ethics committee approval was obtained. Patients were subjected to demographic and clinical data collection including name, age, marital status, number of offsprings, residence, phone number, duration of illness, past history and family history.
Patients were primarily examined by SMG (59 patients) or conventional US only (7 patients) if they were below 35 years of age. All patients were then subjected to evaluation by SWE, contrast-enhanced magnetic resonance imaging (CE-MRI) of the breast and DW-MRI.
Technique of SWE examination
The study was carried out using a GE LOGIQ E9 XDclear ultrasound machine that has a linear multi-frequency probe that operates at 9 and 15.8 MHz.
A clear B-mode image was acquired. The examined lesion was assessed for SWE color-coded images utilizing a modulated scoring system that relies on the percentage of stiff areas within it . Scores for SWE were recorded on a scale of 1–4 according to the patterns of the elastogram. Lesions almost totally occupied by blue colour scored as 1, those with blue colour occupying more than 50% scored as 2, those with red colour occupying more than 50% scored as 3, while those almost totally occupied by red colour scored as 4. Lesions scoring 1 or 2 were considered as benign whereas those scoring 3 or 4 were considered as malignant. Results were then correlated to those of the final histopathology.
The maximum value for elasticity (Emax) (in kilopascals) and the ratio between the mean value of elasticity in the lesion to that in the surrounding fat (Eratio) were automatically calculated. Cut-off values that differentiate benign from malignant lesions for both Emax and Eratio were calculated and correlated to the results of histopathology.
Technique of CE-MRI and DW-MRI
A Siemens Magnetom Aera machine (1.5 Tesla field strength) was utilized to conduct this study. Patients were put in the prone position and a double breast coil was used.
T1-weighted (TR = 537 ms, TE = 10 ms), and T2-weighted (TR = 4123 mesc, TE = 120 ms) fast spin echo sequences (FSE) were taken in the axial plane. Short tau inversion recovery (STIR) images were acquired (TR = 4007 ms, TE = 70 ms) in the axial and sagittal planes. Post contrast sequences were obtained, including 7 dynamic acquisitions, one before and the rest after intravenous injection of 0.1 mmol/kg of body weight of gadolinium-diethylene triamino-penta-acid (Gd DTPA), using the dynamic sequence T1 high-Resolution Isotropic Volumetric Examination (THRIVE) (TR/TE = 5/2 ms).
Image analysis of CE-MRI
Lesions were classified on CE-MRI based on their morphology into 4 categories: ‘benign’, ‘probably benign’, ‘probably malignant’, and ‘malignant’. To calculate the statistical indices, both the ‘benign’ and ‘probably benign’ groups were considered as benign, while both the ‘malignant’ and ‘probably malignant’ groups were considered as malignant. Kinematic curve evaluation (rising, plateau or washout curves) was also done for each lesion when applicable.
DW-MRI was done using the single-shot echo planar imaging along with fat suppression. The following parameters were utilized; 5000 ms/75 ms (TR/TE), 5 mm (section thickness), 256 × 256 (matrix), 30 × 30 cm field of view (FOV) and 3 mm (section gap).
Regarding b values in the current study, three b values were used, at 0, 400 and 800 s/mm2.
Image post processing of DW-MRI
For Qualitative assessment visual evaluation of the signal intensity of a lesion on diffusion-weighted images (DWI) (at b values of 400 and 800 s/mm2) and on the corresponding ADC maps. Facilitated diffusion was defined as intermediate or high signal intensity on DWI without signal drop on the corresponding ADC map. On the other hand, restricted diffusion was defined as intermediate or high signal intensity on DWI with complete signal loss on the corresponding ADC map.
For Quantitative assessment ADC values were calculated by manually drawing a region of interest (ROI) in the most hypointense (most restricted) part of a lesion on the ADC map. This was done more than one time and the mean value was calculated.
All examinations were conjointly read by two consultant breast imaging radiologists, having more than ten years of experience in the field of breast imaging. Finally, findings of SWE, CE-MRI and DW-MRI were compared to the final histopathological results.
Data were coded utilizing the Statistical Package for the Social Sciences (SPSS) version 26 (IBM, Armonk, NY, USA). Quantitative data was summarized using mean, standard deviation (SD), median, minimum and maximum whereas for categorical data, frequency (count) and relative frequency (percentage) were used. Standard diagnostic indices including sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and diagnostic efficacy were calculated as described by Galen . Receiver operating characteristics curve (ROC) curve was constructed with analysis of the area under the curve (AUC) to determine the best cut-off value of a certain parameter for detection of malignancy. Comparisons between quantitative variables were carried out utilizing the non-parametric Mann–Whitney test . For comparing categorical data, Chi square test was done. Exact test was utilized instead when the expected frequency was less than 5 . A p value less than 0.05 was considered as statistically significant. To calculate the sample size for the current study, Epi-calc 2000 was used. Assuming 80% power, 0.05 level of significance, 63% null hypothesis value and estimated proportion of 80%, the resultant sample size was 56. Therefore, this study included 66 patients having BIRADS 3 or 4 lesions presenting to our institution during the time frame from January 2018 to January 2020.
This prospective study included 66 female patients having breast lesions categorized as BI-RADS 3 (probably benign) or BIRADS 4 (probably malignant) who were examined by ultrasound ± mammography (according to the patient’s age), SWE, CE-MRI and DW-MRI. The ages of the patients ranged from 30 to 68 years (mean age 44.76 years ± 11.52 SD) where a statistically significant correlation was found between older ages and malignant pathology (p value: 0.003).
According to the BIRADS categorization of cases, 37 out of the examined 66 lesions (56.06%) were probably benign (BIRADS 3), and 29 (43.93%) were suspicious (BIRADS 4). One out of the 37 (2.7%) considered BIRADS 3 lesions turned out to be malignant on histopathology and 36 (97.29%) were proved truly benign. On the other hand, 2 out of the 29 considered BIRADS 4 lesions (6.89%) turned out to be benign on histopathology and 27 (93.1%) were proved malignant (p value < 001).
According to the results of the histopathology examination of the biopsied cores and surgical specimens, 38 out of the 66 studied lesions (57.6%) were benign, and 28 (42.4%) were malignant. Out of the 38 benign cases, we had 25 fibroadenomas (37.87%), 4 intraductal papillomas (6%), 2 cases of fibrocystic changes (3%), 3 cases of adenosis (4.54%) and 4 cases of other pathologies including a hamartoma, a hematoma, a fat necrosis and an atypical ductal hyperplasia (ADH) (6%). Out of the 28 malignant cases, we had 19 cases of infiltrating ductal carcinoma (IDC) (28.78%), 2 cases of infiltrating tubular carcinoma (ITC) (3%), 3 cases of infiltrating lobular carcinoma (ILC) (4.54%), 2 cases of papillary carcinoma (3%) and 2 cases of ductal carcinoma insitu (DCIS) (3%).
Shear wave elastography (SWE) results
The distribution of lesions according to the color-coded map scoring (qualitative assessment)
Scores of 1 and 2 were considered as benign and those of 3 and 4 were considered as malignant, resulting in a calculated sensitivity of 89.29%, a specificity of 68.42%, a PPV of 67.57%, a NPV of 89.66%, and an accuracy of 77.27%.
The distribution of SWE scoring in correlation to the final histopathology results is shown in (Table 1).
Within the BIRADS 3 group lesions, color-coded map scoring had a sensitivity of 100%, a specificity of 66.67%, a PPV of 7.69%, a NPV of 100% and an accuracy of 67.57%. Whereas within the BIRADS 4 group lesions, it had a sensitivity of 88.89%, a specificity of 100%, a PPV of 100%, a NPV of 40% and an accuracy of 89.66%.
The distribution of lesions according to maximum elasticity (Emax) and elasticity ratio (Eratio) (quantitative assessment)
The obtained Emax values for all examined lesions ranged from 3.00 to 204.20 kPa (mean 94.61 ± 58.52) (mean = 94.61, SD = 58.52, median = 102.00, minimum = 3.00, maximum = 204.20).
By analysing the ROC curve of Emax (Fig. 1) by plotting the true positive rate (sensitivity) against the false positive rate (specificity), the AUC = 0.828 and the cut-off point to differentiate benign from malignant lesions was 65.15 (Table 2).
When considering the calculated cut off value of Emax which differentiates benign and malignant lesions as 65.15, 23 out of the examined 66 (34.84%) lesions were categorized as benign, out of which 1/23 turned out to be malignant by histopathology (false negative). On the other hand, 43 out of the examined 66 (65.15%) lesions were considered to be malignant, out of which 16/43 proved to be benign on histopathology (false positive) (Fig. 2).
According to the previous results, the calculated value for sensitivity was 96.43%, for specificity was 57.89%, for NPV was 95.65%, for PPV was 62.79% and for accuracy was 74.24%.
Within the BIRADS 3 group, Emax had a sensitivity of 100%, a specificity of 55.56%, a PPV of 5.88%, a NPV of 100% and an accuracy of 56.76%. Whereas within the BIRADS 4 group of lesions, it had a sensitivity of 96.3%, a specificity of 100%, a PPV of 100%, a NPV of 67.67% and an accuracy of 96.55%.
As for Eratio, the resulting AUC for ROC curve analysis = 0.735 (Fig. 1), and the calculated cut-off point to differentiate benign from malignant lesions was 4.55 (Table 3).
When considering the calculated cut-off value of Eratio which can differentiate between benign and malignant lesions as 4.55, 34 out of the examined 66 lesions (51.51%) were considered as benign, out of which 8/34 turned out to be malignant by histopathology (false negative). And 32 out of the examined 66 lesions were considered to be malignant (48.48%), out of which 12/32 proved to be benign (false positive) (Figs. 3, 4).
According to the previous results, the calculated sensitivity for Eratio was 71.43%, the specificity was 68.42%, the NPV was 76.47%, the PPV was 62.50% and the accuracy was 69.70%.
Within the BIRADS 3 group, Eratio had a specificity of 69.44%, a NPV of 96.15% and an accuracy of 67.57%. Whereas within the BIRADS 4 group of lesions, it had a sensitivity of 74.07%, a specificity of 50%, a PPV of 95.24%, a NPV of 12.5% and an accuracy of 72.41%.
Contrast-enhanced magnetic resonance imaging (CE-MRI) results
Morphological assessment of CE-MRI
The 66 lesions included in the current study were classified on CE-MRI based on their morphology into 4 categories according to the BIRADS lexicon for breast MRI . These categories are: ‘benign’ (32 lesions-48.5%), ‘probably benign’ (6 lesions-9.1%), ‘probably malignant’ (5 lesions-7.6%), and ‘malignant’ (23–34.8%).
To calculate the statistical indices, we considered both the ‘benign’ and ‘probably benign’ groups as benign, while we considered the ‘malignant’ and ‘probably malignant’ groups as malignant. A statistically significant correlation was found between the CE-MRI categories and final pathology (p value 0.003) (Table 4).
The calculated sensitivity, specificity, PPV, NPV and accuracy were 92.59%, 94.74%, 92.59%, 94.74%, and 93.85% respectively.
Kinematic curve assessment of CE-MRI
Out of the included 66 lesions, 34 (51.5%) showed a benign (rising) kinematic curve (out of which 2 turned out to be malignant by pathology). On the other hand, 12 lesions (18.2%) showed a plateau curve, and 20 lesions (30.3%) showed a washout curve. A statistically significant correlation (p value < 0.001) was found between malignant curves and pathologically proven malignant lesions, and between benign curves and benign lesions (Table 5).
The calculated sensitivity, specificity, PPV, NPV and accuracy were 92.86%, 84.21%, 81.25%, 94.12%, and 87.88% respectively.
Diffusion-weighted magnetic resonance imaging (DW-MRI) results
Qualitative assessment of DW-MRI
Out of the examined 66 lesions, 35 (53.0%) showed a restricted pattern of diffusion, while 31 (47.0%) showed a facilitated pattern. A statistically significant correlation was found between malignant lesions and restricted pattern of diffusion with a p value < 0.001 (Table 6).
This resulted in a calculated sensitivity of 78.57%, a specificity of 65.79%, a PPV of 62.86%, a NPV of 80.65%, and an accuracy of 71.21%.
Within the BIRADS 3 group of lesions, qualitative DW-MRI showed a specificity of 63.89%, a NPV of 95.83% and an accuracy of 62.16%. Whereas within the BIRADS 4 group, it showed a sensitivity of 81.48%., a specificity of 100%, a PPV of 100%, a NPV of 28.57% and an accuracy of 82.76%.
Quantitative assessment of DW-MRI (ADC values)
The obtained ADC values for all examined lesions ranged from 0.4 to 7.70 × 10−3 mm2/s (mean: 1.49 ± 1.19 SD, median: 1.40).
By applying ROC curve analysis of the obtained ADC values (AUC = 0.769), it was found that the best cut-off value to differentiate benign from malignant lesions is 1.25 × 10−3 mm2/s (Fig. 5).
By applying this value as a cut-off point, 39 out of the examined 66 lesions (59.05%) were considered as benign. Out of these 7 (25.0%) proved to be malignant by pathology (false negative). On the other hand, 27 out of the examined 66 (40.90%) lesions were considered to be malignant out of which 6/27 (15.8%) proved to be benign by pathology (false positive) (Figs. 6, 7).
This resulted in a sensitivity of 75.00%, a specificity of 84.21%, a NPV of 82.05%, a PPV of 77.78% and an accuracy of 80.30% (p value < 0.001).
Within the BIRADS 3 group of lesions, quantitative DW-MRI showed a sensitivity of 100%, a specificity of 86.11%, a PPV of 16.67%, a NPV of 100% and an accuracy of 86.49%. Whereas within the BIRADS 4 group, it showed a sensitivity of 74.07%, a specificity of 50%, a PPV of 95.24%, a NPV of 12.5% and an accuracy of 72.41%.
Comparison of the diagnostic performance of different modalities included in the study is shown in (Table 7).
Breast cancer remains a public health problem . Conventional SMG and CE-MRI are the cornerstones for the management of breast cancer where CE-MRI offers rather high sensitivity for the depiction of malignancy . DW-MRI relies upon the microscopic mobility of water molecules to differentiate malignancy and can be quantified by evaluating its ADC . Elastography can help increase the confidence of diagnosis of malignancy by evaluating tissue stiffness .
The aim of this study was to evaluate the additive role of SWE and DW-MRI in predicting malignancy in breast lesions categorized as BIRADS 3 or 4.
Breast lesions were evaluated both by a qualitative method (color-coded map scoring) and a quantitative one (Emax and Eratio).
By using color-coded map scoring
The current study had12 false positive results which included 7 fibroadenomata that were either very deeply seated, creating an incorrect impression of a more solid lesion due to compression against a rib or were rather heterogeneous and of a large size. Four other cases were intraductal papillomata which were reported by previous researchers  to be liable to show a false positive scoring of elasticity. The remaining false positive case was that of an ADH presenting as a hard palpable lesion. There were 3 false negative results. One of them was a low-grade, small sized (< 1 cm) IDC. Elasticity values for malignant lesions were reported to vary according to their grade of malignancy . The other 2 false negative cases were invasive papillary carcinomas. Papillary lesions of the breast were reported to be influenced by both breast thickness and lesion depth and may consequently give a false interpretation .
In the current study, qualitative SWE showed relatively lower specificity (68.42%). This is comparable to the results of a previous study  that gave lesion heterogeneity and large size as an explanation for the relatively lower specificity, where it renders applying even pressure rather uneasy. However, another study  used a different scoring system and concluded higher specificity (93.24%) but lower sensitivity (73.96%).
The calculated cut-off value for Emax in the current study affording the maximal predictive accuracy for the differentiation between benign and malignant lesions was 65.15 kPa whereas the cut-off value for Eratio was 4.55.
In the current study, Emax showed higher sensitivity (96.43%) and accuracy (72.24%), but lower specificity (57.89%), if compared to Eratio (71.43%, 69.70% and 68.42% respectively). The calculated cut-off value in the current study may be a reason for the relatively higher sensitivity at the expense of a lower specificity. In the present study, there were 16 false positive results, out of which 10 were deeply seated fibroadenomas, mostly in large sized breasts. Other potential reasons include increased heterogeneity of tissues and uneven skin surface which exert an impact upon the reliability of SWE, as reported in a previous study . Another 4 false positive results were intraductal papillomata which may elicit relatively higher values for elasticity, as reported by a previous study . The remaining 2 cases were ADH and fat necrosis presenting as hard palpable lesions and thus gave false positive results.
These results match those of a previous study  that reported that Emax (with a cut-off value = 82.8 kPa) had a better diagnostic performance if compared to Eratio (with a cut-off value = 5.5). However, another study  that concluded that Eratio (with a cut-off value = 4.70) showed higher diagnostic indices if compared to Emax (with a cutoff value = 54.25 kPa).
In the current study, there was a complex cystic lesion in which the actual lesion showed red areas less than 50%. Yet, significant low elasticity in the surrounding nearby parenchyma had to be considered and consequently scoring was upgraded to 4. Another case was categorized as a single BIRADS 4 lesion by conventional US and was modified into a multifocal breast cancer when nearby satellite lesions were noted by SWE and confirmed by CE-MRI.
Contrast-enhanced MRI showed the highest diagnostic indices among other modalities included in the study, which may be justified by the superiority of combining both morphological and functional data. A statistically significant correlation was found between malignant descriptors and pathologically proven malignant lesions and vice versa (p value 0.003). Also, a statistically significant correlation (p value < 0.001) was found between the malignant curves and pathologically proven malignant lesions with no false negative results, and between the benign curves and benign lesions. Those results go in accordance with the results of several other studies [17, 18].
Regarding the qualitative assessment of DW-MRI
There were 13 false positive results and 6 false negative cases. Two of the thirteen false positive cases were sclerosing adenosis where cellular variations accompanied with secondary changes in sclerosing adenosis may affect the diffusion pattern, as reported by a previous study . Other 4 cases were intra-ductal papillomata which, as stated by previous investigators , often show mammary ductal papillary proliferation and secondary changes such as haemorrhage, infarction, or fibrosis that may result in false diffusion restriction. The remaining 7 cases were relatively large sized fibroadenomas with internal heterogeneity.
On the other hand, two of the six false negative results presenting with a false non-restricted diffusion pattern were invasive papillary carcinomas; one of which was very small in size measuring less than 1 cm. This may be justified by the fact that the inaccuracy of DWI in lesions less than 1 cm may be due to poor inherent and low spatial resolution, as postulated in a previous study . Another one was a malignant lesion presenting with central necrosis where according to a previous study  done on 200 patients, false negative results were encountered in lesions showing central necrosis. Two lesions were ILC, where, as explained by previous researchers , ILC has a different morphology that invades the stroma individually with interposed normal fibroglandular tissue inbetween the lesions which renders radiological detection rather difficult. This is also the reason why ILC is commonly underestimated on DWI leading to false negative results. The remaining 2 cases were IDC where, as stated in a previous study , IDC is commonly pathologically heterogenous, showing a mixture of cells.
A statistically significant correlation (p value < 0.001) was found between malignant lesions and restricted pattern of diffusion which goes in accordance with the results of other researchers .
Regarding the quantitative assessment of DW-MRI in the current study, the obtained ADC values were generally lower for malignant lesions than for benign ones, yet with an overlap between both groups.
The calculated cut-off ADC value for differentiating benign from malignant lesions was 1.25 × 10−3 mm2/s with resultant statistical indices comparable to the results of several previous studies [4, 23, 24].
Six cases showed false positive results, out of which 3 were fibroadenomas, 2 were sclerosing adenosis and 1 was a hamartoma. All had the same criteria being of heterogeneous texture. There were 7 false negative results. These were 2 cases of DCIS, 2 cases of low-grade IDC, 2 cases papillary carcinoma and a case of ILC.
For benign (BIRADS 3) lesions, both color-coded mapping and Emax had excellent sensitivity (100% each), however with moderate specificity (66.67% for color-coded mapping and 55.56% for Emax). This moderate specificity was reported in a previous study to be ameliorated by combining both conventional US and color-mapping or Emax for the evaluation . However, for BIRADS 4 lesions, both had excellent specificity (100%) along with rather very good sensitivity (88.89% for color-coded mapping and 96.3% for Emax). Both had better overall accuracy with BIRADS 4 lesions as compared to BIRADS 3 ones (89.66% and 96.55% versus 67.57% and 56.76%). E ratio had moderate overall performance for both BIRADS 3 and 4 lesions (67.57% and 72.41%). Yet, the rather smaller number in both subgroups of the current study represents a major limiting factor and further detailed studies with a larger sample size for each subgroup may be advisable. However, in a previous study, it was reported that utilising visual colour stiffness to upgrade BIRADS 3 lesions or absence of stiffness to downgrade BIRADS 4 lesions improved the specificity from 61.1 to 78.5% and utilising maximum elasticity values improved specificity to 77.4%, without a change in sensitivity . Comparable findings were also reported in several other studies [27, 28].
As for DW-MRI, its qualitative method showed better specificity for BIRADS 4 lesions if compared to BIRADS 3 ones (100% vs. 63.89% specificity). On the other hand, quantitative DW-MRI showed better overall performance for BIRADS 3 lesions if compared to BIRDS 4 ones (100% sensitivity, 86.11 specificity and 86.49 accuracy vs. 74.07% sensitivity, 50% specificity and 72.41% accuracy). However, the paucity of candidates within each of the subgroups in the current study represents a limiting factor. It was reported in previous studies that ADC values differ between benign and malignant lesions and it was confirmed that DW-MRI has the potential to ameliorate the differential diagnosis of suspicious breast lesions and can be potentially used to limit the number of unnecessary sampling [29, 30].
As for the limitations of the current study, we were faced with movement of some patients which represented a source of misregistration of images on DW-MRI. Moreover, as a result of the lower spatial resolution of DWI, smaller foci of cancer (less than 1 cm) were rather difficult to detect (such as those of DCIS or scattered foci of ILC). We were also faced by the overlap of ADC values between benign and malignant conditions which may be justified by the fact that ADC values are generally more sensitive to other histopathologic conditions such as cellularity, fibrosis or necrosis. On the other hand, we were also faced with inconsistent results for Emax, resulting from pressure difference applied, which may affect the recorded values of a certain lesion. Eratio should be less affected by this, because shear wave values should alter in both the lesion and its surrounding tissue. Regarding the separate analysis of both BIRADS 3 and 4 categories, the rather smaller number of lesions included in each subgroup represented a limiting factor which renders further detailed studies with a larger sample size for each subgroup advisable.
Our results show that CE-MRI is still superior in the diagnosis and evaluation of breast cancer which is the result of combining both morphological and kinetic data. SWE shows variable diagnostic performance, however, can be used clinically to increase the diagnostic confidence when suggesting or ruling out malignancy within a breast lesion, especially in cases of radiological overlap, such as BIRADS 3 or 4 categories. DW-MRI is a non-contrast-enhanced technique that can aid the differential diagnosis of equivocal/suspicious breast lesions. Both techniques can be used as an adjunct to standard imaging of the breast to increase reliability and confidence of diagnosis.
Availability of data and material
The data sets used and analysed during the current study are available from the corresponding author on reasonable request.
Apparent diffusion coefficient
Atypical ductal hyperplasia
Area under curve
Breast imaging reporting and database system score
Contrast-enhanced magnetic resonance imaging
Ductal carcinoma insitu
Diffusion-weighted magnetic resonance imaging
Maximum elasticity value
Ratio between the mean value of elasticity in a lesion to that
Liu Q, Xing P, Dong H, Zhao T, Jin F (2018) Preoperative assessment of axillary lymph node status in breast cancer patients by ultrasonography combined with mammography. Medicine (Baltimore) 97(30):e11441. https://doi.org/10.1097/MD.0000000000011441
Xu Y, Bai X, Chen JL, Hu B, Hu B, Yu L (2018) Application of real-time elastography ultrasound in the diagnosis of axillary lymph node metastasis in breast cancer patients. Sci Rep 8(1):10234. https://doi.org/10.1038/s41598-018-28474-y
Satake H, Nishio A, Ikeda M, Ishigaki S, Shimamoto K, Hirano M, Naganawa S (2011) Predictive value for malignancy of suspicious breast masses of BI-RADS categories 4 and 5 using ultrasound elastography and MR diffusion-weighted imaging. AJR 196(1):202–209. https://doi.org/10.2214/ajr.09.4108
Itoh A, Ueno E, Tohno E, Kamma H, Takahashi H, Shiina T, Yamakawa M, Matsumura T (2006) Breast disease: clinical application of US elastography for diagnosis. Radiology 239(2):341–350. https://doi.org/10.1148/radiol.2391041676
Yoon JH, Ko KH, Jung HK, Lee JT (2013) Qualitative pattern classification of shear wave elastography for breast masses: how it correlates to quantitative measurements. EJR 82(12):2199–2204. https://doi.org/10.1016/j.ejrad.2013.08.047
Suvannarerg V, Chitchumnong P, Apiwat W, Lertdamrongdej L, Tretipwanit N, Pisarnturakit P, Sitthinamsuwan P, Thiravit S, Muangsomboon K, Korpraphong P (2019) Diagnostic performance of qualitative and quantitative shear wave elastography in differentiating malignant from benign breast masses, and association with the histological prognostic factors. Quant Imag Med Surg 9(3):386–398. https://doi.org/10.21037/qims.2019.03.04
Ng WL, Rahmat K, Fadzli F, Rozalli FI, Mohd-Shah MN, Chandran PA, Westerhout CJ, Vijayananthan A, Abdul Aziz YF (2016) Shearwave elastography increases diagnostic accuracy in characterization of breast lesions. Medicine (Baltimore) 95(12):e3146. https://doi.org/10.1097/md.0000000000003146
Łuczyńska E, Heinze-Paluchowska S, Hendrick E, Dyczek S, Ryś J, Herman K, Blecharz P, Jakubowicz J (2015) Comparison between breast MRI and contrast-enhanced spectral mammography. Med Sci Monit 21:1358–1367. https://doi.org/10.12659/msm.893018
Kuroki Y, Nasu K, Kuroki S, Sekiguchi R, Nawano S, Satake M (2010) Diffusion-weighted imaging (DWI) for breast cancers; challenging to diagnose ductal carcinoma in situ (DCIS) and invasive lobular carcinoma (ILC). In: IWDM: digital mammography. pp 213–218
Yabuuchi H, Matsuo Y, Sunami S, Kamitani T, Kawanami S, Setoguchi T, Sakai S, Hatakenaka M, Kubo M, Tokunaga E, Yamamoto H, Honda H (2011) Detection of non-palpable breast cancer in asymptomatic women by using unenhanced diffusion-weighted and T2-weighted MR imaging: comparison with mammography and dynamic contrast-enhanced MR imaging. Eur Radiol 21(1):11–17. https://doi.org/10.1007/s00330-010-1890-8
Woodhams R, Ramadan S, Stanwell P, Sakamoto S, Hata H, Ozaki M, Kan S, Inoue Y (2011) Diffusion-weighted imaging of the breast: principles and clinical applications. Radiographics 31(4):1059–1084. https://doi.org/10.1148/rg.314105160
Yılmaz E, Sarı O, Yılmaz A, Ucar N, Aslan A, Inan I, Parlakkilic UT (2018) Diffusion-weighted imaging for the discrimination of benign and malignant breast masses; utility of ADC and relative ADC. J Belg Soc Radiol 102(1):24. https://doi.org/10.5334/jbsr.1258
Bostan BT, Koc G, Sezgin G, Altay C, Gelal MF, Oyar O (2016) Value of apparent diffusion coefficient values in differentiating malignant and benign breast lesions. Balkan Med J 33(3):294–300. https://doi.org/10.5152/balkanmedj.2016.141007
Hari S, Paul SB, Vidyasagar R, Dhamija E, Adarsh AD, Thulkar S, Mathur S, Sreenivas V, Sharma S, Srivastava A, Seenu V, Prashad R (2018) Breast mass characterization using shear wave elastography and ultrasound. Diagn Interv Imaging 99(11):699–707. https://doi.org/10.1016/j.diii.2018.06.002
Berg WA, Cosgrove DO, Dore CJ, Schafer FKW, Svensson WE, Hooley RJ, Ohlinger R, Mendelson EB, Balu-Maestro C, Loctatelli M, Tourasse C, Cavanaugh BC, Juhan V, Stavros AT, Tardivon A, Gay J, Henry J, Cohen-Backrie C (2012) Shear-wave elastography improves the specificity of breast US: the BE1 multinational study of 939 masses. Radiology 262(2):435–449. https://doi.org/10.1148/radiol.11110640
Youk JH, Son EJ, Gweon HM, Kim H, Park YJ, Kim JA (2014) Comparison of strain and shear wave elastography for the differentiation of benign from malignant breast lesions, combined with B-mode ultrasonography: qualitative and quantitative assessments. Ultrasound Med Biol 40(10):2336–2344. https://doi.org/10.1016/j.ultrasmedbio.2014.05.020
Maltez de Almeida JR, Gomes AB, Barros TP, Fahel PE, Rocha MS (2017) Diffusion-weighted imaging of suspicious (BI-RADS 4) breast lesions: stratification based on histopathology. Radiol Bras 50(3):154–161. https://doi.org/10.1590/0100-3984.2015.0224
Rahbar H, Zhang Z, Chenevert TL, Romanoff J, Kitsch AE, Hanna LG, Harvey SM, Moy L, DeMartini WB, Dogan B, Yang WT, Wang LC, Joe BN, Oh KY, Neal CH, McDonald ES, Schnall MD, Lehman CD, Comstock CE, Partridge SC (2019) Utility of diffusion-weighted imaging to decrease unnecessary biopsies prompted by breast MRI: a trial of the ECOG-ACRIN Cancer Research Group (A6702). Clin Cancer Res 25(6):1756–1765. https://doi.org/10.1158/1078-0432.CCR-18-2967
DE wrote the manuscript. RR collected patient data. RA worked on image processing and collection of patient images. RK participated in the design of the study and performed the statistical analysis. RR and DE conceived the study, and participated in its design and coordination and helped to draft the manuscript. RK was responsible of revision of the draft from clinical point of view. SL collected the clinical and pathological data. All authors have read and approved the manuscript.
The study was approved by the ethical committee of “Faculty of medicine, Cairo University” with ethical committee approval number and date not available. An informed written consent was taken from all subjects.
Consent for publication
All patients included in this research gave written informed consent to publish the data contained within this study.
No financial or non-financial competing interests.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
Abdel Rahman, R.W., Refaie, R.M.A.E., Kamal, R.M. et al. The diagnostic accuracy of diffusion-weighted magnetic resonance imaging and shear wave elastography in comparison to dynamic contrast-enhanced MRI for diagnosing BIRADS 3 and 4 lesions.
Egypt J Radiol Nucl Med52, 185 (2021). https://doi.org/10.1186/s43055-021-00568-0