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Purpose: This study aimed to develop noninvasive magnetic resonance imaging (MRI)-based radiomic models to predict immunophenotypes of breast cancer. Methods: A total of 182 breast cancer patients who underwent upfront surgery were analyzed, divided into training (n = 137) and validation (n = 45) cohorts. Dynamic contrast-enhanced (DCE)-MRI was acquired, and immunophenotype was determined on the surgical tumor sections: immune-inflamed (high degree of CD8+ T cells infiltrated), -excluded (CD8+ T cells accumulated at invasive margin but not efficiently infiltrated in tumor bed), and -desert (CD8+ T cells absent within tumor and at margins). Based on 833 radiomic features extracted after manual delineation, the least absolute shrinkage and selection operator method was used to build radiomic models. Results: Our radiomic models from the whole tumor sections showed moderate performance in predicting the immune-inflamed versus non-inflamed tumors, showing the highest AUC values, of 0.659 and 0.671 for training and validation cohorts, respectively. Combining the models, much improved predictability was observed, with AUC values of 0.973 and 0.985 for training and validation cohorts, respectively. Other radiomic features from tumor periphery data discriminated immune-excluded versus immune-desert status, with AUC values of 0.993 and 0.984 for training and validation cohorts, respectively. The combined models were also applicable to predicting immunophenotype for different molecular subtypes, with AUC values ≥ 0.867. Conclusions: By integrating the immunohistochemistry profiles, we established MRI-derived radiomic models to predict the detailed immunophenotype of breast cancer. This study suggests the feasibility of noninvasive assessment of tumor immune status in real-world clinics. Citation Format: Seung Hyuck Jeon, So-Woon Kim, Mirinae Seo, Yu Jin Lim. Radiomic models based on dynamic contrast-enhanced magnetic resonance imaging predict the immunophenotype reflecting spatial distribution of CD8+ tumor-infiltrating lymphocytes in breast cancer [abstract]. In: Proceedings of the 2022 San Antonio Breast Cancer Symposium; 2022 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2023;83(5 Suppl):Abstract nr P1-05-17.

Background: The clinical spectrum and disease course of Crohn’s disease (CD) are heterogeneous and difficult to predict based on initial presentation. Aim: To analyze the long-term disease course and factors leading to poor prognosis of the disease.Methods: In total, 112 patients with CD who were initially diagnosed or treated at our institution were included. We analyzed their clinical data, disease characteristics according to Montreal classification, endoscopic and computed tomography (CT) examinations at initial visit, and 2-year, 5-year, and last follow-ups. We categorized the long-term disease course into four categories: remission, stable, chronic refractory, and chronic relapsing. Significant factors associated with a poorer prognosis were analyzed.Results: The median follow-up period was 107 (range, 61-139) months. Complicated disease behavior increased slightly (20.5% to 26.2%). Chronic refractory (19.6%) and relapsing (16.1%) courses were defined as unfavorable disease course. Two-year disease characteristics were significant factors for unfavorable disease course, and the combination of 2-year perianal disease and 2-year moderate-to-severe CT activity could predict unfavorable disease course with the highest accuracy (0.722, area under the curve 0.768, p

The purpose of this study was to compare the diagnostic performance of B-mode ultrasonography (US) and shear wave elastography (SWE) for differentiating benign from malignant cervical lymph nodes (LNs). This study evaluated 130 cervical LNs in 127 patients. On conventional B-mode US, short-axis and long-axis diameters, long-to-short-axis ratio, cortical morphology, border, and presence of necrosis or calcification were evaluated. Maximum elasticity value (Emax) was collected for SWE. The area under the receiver operator characteristic curve (AUC), sensitivity, and specificity of B-mode US features and SWE were compared. Final histopathologic results showed 89 benign and 41 metastatic LNs. Among the B-mode US features, cortical morphology had the highest AUC (0.884). When 54 kPa of Emax was applied as a cutoff value, the SWE showed significantly lower AUC than cortical morphology (0.734, P = 0.02). Both sensitivity and specificity for cortical morphology on B-mode US were higher than for Emax (80.5% vs 65.9%, P = 0.212 and 89.9% vs 76.4%, P = 0.026, respectively). Conventional B-mode US resulted in higher diagnostic yield than SWE in evaluating cervical LNs in our study. However, further studies on potential factors that may affect the SWE velocity are needed to validate the diagnostic value of SWE.

The purpose of this study was to evaluate and compare the diagnostic performances of the deep convolutional neural network (CNN) and expert radiologists for differentiating thyroid nodules on ultrasonography (US), and to validate the results in multicenter data sets. This multicenter retrospective study collected 15,375 US images of thyroid nodules for algorithm development (n = 13,560, Severance Hospital, SH training set), the internal test (n = 634, SH test set), and the external test (n = 781, Samsung Medical Center, SMC set; n = 200, CHA Bundang Medical Center, CBMC set; n = 200, Kyung Hee University Hospital, KUH set). Two individual CNNs and two classification ensembles (CNNE1 and CNNE2) were tested to differentiate malignant and benign thyroid nodules. CNNs demonstrated high area under the curves (AUCs) to diagnose malignant thyroid nodules (0.898–0.937 for the internal test set and 0.821–0.885 for the external test sets). AUC was significantly higher for CNNE2 than radiologists in the SH test set (0.932 vs. 0.840, P P = 0.113, 0.126, and 0.690). CNN showed diagnostic performances comparable to expert radiologists for differentiating thyroid nodules on US in both the internal and external test sets.

Objectives The purpose of this study is to evaluate the additive value of shear wave elastography (SWE) for differentiating benign and metastatic axillary lymph nodes (LNs) in breast cancer. Materials and methods The area under the receiver operating characteristic curve, sensitivity, and specificity of B-mode US, SWE, and combined modality were compared for 54 suspicious LNs. Results After combining information from SWE, sensitivity was significantly higher for combined modality than for B-mode US alone (94.12% vs. 82.35%, p = 0.046) without a decrease in specificity. Conclusion Combined B-mode US and SWE may improve detection of metastatic axillary LNs in patients with breast cancer.

Purpose To compare breast stiffness based on shear-wave elastography (SWE) quantitative parameters with histopathologic results diagnosed by ultrasound (US)-guided core needle biopsy (CNB) to determine their association with upgrade rates after surgical excision or follow-up US as well as clinico-radiologic differences between upgrade and non-upgrade groups. Materials and methods This retrospective study enrolled 225 breast lesions from 225 patients, including 159 benign lesions, 38 high risk lesions and 28 ductal carcinoma in situ (DCIS) diagnosed by US-guided CNB. Quantitative SWE parameters of breast lesions were measured before CNB and compared according to histopathologic results (benign, high risk and DCIS) and lesion size ( 20 mm). Clinico-radiologic and pathologic factors were compared between upgrade and non-upgrade groups after surgical excision or follow-up US. Results After surgical excision or follow-up US after more than one year, 29 lesions were upgraded for an overall upgrade rate of 12.9% (29/225). There were significant differences between upgrade and non-upgrade groups in age, mammographic category, US category, and sonographic features, including shape, margin, orientation, imaging-histologic correlation and E ratio. Patients with lesion upgrade were much older and had lesions characterized by significantly higher mammographic and US category (>4b), irregular shape, nonparallel orientation, microlobulated or angular margin, calcification in a mass, larger size on US (>20 mm) and greater imaging-histologic discordance. Multivariate analysis showed only mean and minimum elasticity values displayed a borderline association with histologic underestimation. Conclusion Upgrade of breast lesions diagnosed by US-guided CNB can be predicted using Emean and Emin among quantitative SWE parameters.

OBJECTIVES To compare the diagnostic efficacy, complication rate, and core needle biopsy (CNB) specimen yield in 18- versus 20-gauge ultrasound (US)-guided CNB for diagnosis of thyroid nodules. METHODS We included 81 consecutive thyroid nodules with US-guided biopsy by a 20-gauge core needle and 86 consecutive thyroid nodules with US-guided biopsy by an 18-gauge core needle during 2 years. The rate of inconclusive results, including nondiagnostic or atypia/follicular lesion of undetermined significance, was compared. The diagnostic performance for malignancy was assessed in nodules with a final diagnosis. The complication rate and CNB specimen yield were also compared. RESULTS Eighteen-gauge CNB showed a lower rate of nondiagnostic results (1.2% versus 8.6%; P = .024) than 20-gauge CNB; however, the rates of atypia/follicular lesion of undetermined significance and inconclusive results were not significantly different between the groups (P > .05). In addition, 18-gauge CNB showed higher sensitivity (75.0% versus 66.7%), a higher negative predictive value (83.9% versus 75.9%), and higher accuracy (78.3% versus 74.4%) for detecting malignancy than 20-gauge CNB, although the results did not achieve statistical significance. No major complications occurred in either of the CNB groups. The 18-gauge needle group had significantly fewer CNBs and larger specimen diameters (P

To evaluate the diagnostic performance of three-dimensional (3D) image shear-wave elastography (SWE) for differentiating benign from malignant breast masses compared to two-dimensional (2D) SWE and B-mode ultrasound (US).This study consisted of 205 breast lesions from 199 patients who underwent B-mode US and SWE before biopsy from January 2014 to March 2016. Quantitative elasticity values (maximum and mean elasticity, Emax and Emean) obtained from 2D and 3D SWE (axial, sagittal, and coronal images) were reviewed retrospectively, in addition to the histopathological findings including immunohistochemistry profiles (luminal A, luminal B, human epidermal growth factor receptor 2 (HER2)-enriched, and triple-negative breast cancer) in cases of malignancy. Histopathological findings were regarded as the reference standard. The diagnostic performance of each data set was evaluated using the area under the receiver operating characteristic (ROC) curve (AUC) analysis to compare sensitivity and specificity.Among 205 lesions, 105 (51.22%) were malignant and 100 (48.78%) were benign. Compared to benign masses, malignant masses had higher values of Emax and Emean on both 2D and 3D SWE, the differences of which were statistically significant (p0.001). The AUCs of 2D, 3D axial, and sagittal SWE were significantly higher than that of 3D coronal SWE (p0.05). In addition, the sensitivities of axial, sagittal, and coronal 3D SWE were all higher than that of 2D SWE for Emean (81.9%, 87.6%, and 89.5% versus 70.5%, respectively, p0.05). Conversely, the specificity of 2D and 3D axial SWE was higher than that of 3D sagittal and coronal SWE (Emax, 84%, 83% versus 76%, 73%; Emean, 85%, 81% versus 68%, 50%, respectively, p0.05). We also assessed changes in Breast Imaging-Reporting and Data System (BI-RADS) category 3 and category 4a lesions by adding each of the parameters for 2D and 3D SWE in B-mode US. The specificity, PPV, and accuracy of combined 2D or combined 3D SWE with B-mode US was statistically higher than that of B-mode US alone for differentiating benign and malignant lesions (p0.05).Among SWE images, 2D SWE, and 3D SWE axial and sagittal images exhibited superior diagnostic performance compared to 3D coronal images. Addition of 3D SWE images to B-mode US improved the diagnostic performance for distinguishing benign from malignant masses.

Objectives To compare the diagnostic performance of strain and shear wave elastography of breast masses for quantitative assessment in differentiating benign and malignant lesions and to evaluate the diagnostic accuracy of combined strain and shear wave elastography. Methods Between January and February 2016, 37 women with 45 breast masses underwent both strain and shear wave ultrasound (US) elastographic examinations. The American College of Radiology Breast Imaging Reporting and Data System (BI-RADS) final assessment on B-mode US imaging was assessed. We calculated strain ratios for strain elastography and the mean elasticity value and elasticity ratio of the lesion to fat for shear wave elastography. Diagnostic performances were compared by using the area under the receiver operating characteristic curve (AUC). Results The 37 women had a mean age of 47.4 years (range, 20–79 years). Of the 45 lesions, 20 were malignant, and 25 were benign. The AUCs for elasticity values on strain and shear wave elastography showed no significant differences (strain ratio, 0.929; mean elasticity, 0.898; and elasticity ratio, 0.868; P > .05). After selectively downgrading BI-RADS category 4a lesions based on strain and shear wave elastographic cutoffs, the AUCs for the combined sets of B-mode US and elastography were improved (B-mode + strain, 0.940; B-mode + shear wave; 0.964; and B-mode, 0.724; P

Purpose The purpose of this study was to evaluate the diagnostic performance and cost of screening thyroid ultrasonography (US) in an asymptomatic population and determine the US features of screening-detected thyroid cancer. Materials and methods This study included 1,845 asymptomatic participants who underwent screening thyroid US between March and August 2012 at the screening center in our hospital. We evaluated the diagnostic performance of screening thyroid US for thyroid cancer and the average cost of diagnosis for each patient. We also determined the characteristic US features of screening-detected thyroid cancer. Results Of the 1,845 subjects, 661 showed no abnormalities, 1,155 exhibited benign thyroid nodules, and 29 exhibited thyroid cancer. Imaging features such as solid composition, hypoechogenicity, taller-than-wide axis, and ill-defined or spiculated margins of nodules were suggestive of malignancy. The rate of detection of cancer was 1.6% (29/1,845), and the sensitivity, specificity, and positive and negative predictive values were 100% (18/18), 98.7% (1,051/1,065), 56.3% (18/32), and 100% (1,051/1,051), respectively. Of 18 patients who underwent thyroidectomy, three (16.7%) had a pathological tumor staging of T3, and four (22.2%) had a pathological nodal staging of N1a. The average cost of diagnosis for each patient with cancer was $7,319. Conclusion Screening thyroid US exhibited a good diagnostic performance, with a feasible social cost of use. This modality demonstrated significant differences in sonographic features between screening-detected cancer and benign nodules.

To retrospectively evaluate characteristics of and determine appropriate follow-up recommendations for BI-RADS category 3 lesions detected in preoperative MRI of breast cancer patients. BI-RADS category 3 assessments were identified from the breast MRI database for 5,110 consecutive breast cancer patients who had undergone preoperative MRI and surgery. Patient and lesion characteristics, malignancy rate, and interval between lesion detection and cancer diagnosis were analysed. Histopathological results or imaging at or after 2-year follow-up were used as reference standards. Of the 626 lesions, morphological features included a single focus in 26.5% (n = 166), multiple foci in 47.1% (n = 295), mass in 21.7% (n = 136) and non-mass enhancement in 4.6% (n = 29). Cancer was found in 0.8% (5/626) at a median interval of 50 months (range, 29–66 months). Malignancy rate according to morphological feature was: 1.8% (3/166) in a single focus, 0.7% (1/136) in mass and 3.4% (1/29) in non-mass enhancement. All detected cancers were stage 0 or IA. Annual follow-up might be adequate for BI-RADS category 3 lesions detected at preoperative MRI because of the 0.8% (5/626) malignancy rate, long interval between lesion detection and cancer diagnosis, and early stage of diagnosed cancers. • BI-RADS category 3 lesions on preoperative MRI had 0.8% malignancy rate. • All cancer diagnoses from BI-RADS 3 occurred after 24-month follow-up. • Annual follow-up might be adequate for BI-RADS 3 detected on preoperative MRI.

To compare the diagnostic performances of tomosynthesis and ultrasonography as adjunctives to digital mammography in women with dense breasts.A total of 778 women with dense breasts underwent digital mammography with tomosynthesis and ultrasonography for screening and diagnostic purposes. The findings of tomosynthesis and ultrasonography were evaluated independently. The primary endpoint was overall diagnostic accuracy determined by area under the receiver operating characteristic curve (AUC). Secondary endpoints included sensitivity, specificity, and predictive values.Of the 778 participants, 698 women (140 breast cancers) were included in the analysis. Based on the AUC findings, the non-inferiority of tomosynthesis to ultrasonography was established in the overall group as well as in all subgroups except for that comprising women with extremely dense breast composition. There were no significant differences in AUC between tomosynthesis and ultrasonography among asymptomatic participants and participants who underwent imaging for screening (0.912 vs. 0.934 [P = 0.403] and 0.987 vs. 0.950 [P = 0.270], respectively). Tomosynthesis exhibited lower sensitivity (91.4 vs. 96.4%; P = 0.039), and higher specificity (83.9 vs. 70.4%; P 0.001) and positive predictive value (58.7 vs. 45.0%; P 0.001) than ultrasonography.Tomosynthesis exhibits comparable performance to ultrasonography as an adjunct to mammography for diagnosis of breast cancer, except among women with extremely dense breasts.

Objective The purpose of this study was to estimate the T2* relaxation time in breast cancer, and to evaluate the association between the T2* value with clinical-imaging-pathological features of breast cancer. Materials and methods Between January 2011 and July 2013, 107 consecutive women with 107 breast cancers underwent multi-echo T2*-weighted imaging on a 3T clinical magnetic resonance imaging system. The Student's t test and one-way analysis of variance were used to compare the T2* values of cancer for different groups, based on the clinical-imaging-pathological features. In addition, multiple linear regression analysis was performed to find independent predictive factors associated with the T2* values. Results Of the 107 breast cancers, 92 were invasive and 15 were ductal carcinoma in situ (DCIS). The mean T2* value of invasive cancers was significantly longer than that of DCIS (p = 0.029). Signal intensity on T2-weighted imaging (T2WI) and histologic grade of invasive breast cancers showed significant correlation with T2* relaxation time in univariate and multivariate analysis. Breast cancer groups with higher signal intensity on T2WI showed longer T2* relaxation time (p = 0.005). Cancer groups with higher histologic grade showed longer T2* relaxation time (p = 0.017). Conclusion The T2* value is significantly longer in invasive cancer than in DCIS. In invasive cancers, T2* relaxation time is significantly longer in higher histologic grades and high signal intensity on T2WI. Based on these preliminary data, quantitative T2* mapping has the potential to be useful in the characterization of breast cancer.

This study aimed to investigate whether extrathyroidal extension (ETE) and cervical lymph node metastasis (LNM) can be predicted using elasticity parameters of shear-wave elastography (SWE) combined with B-mode ultrasound (US) of papillary thyroid carcinomas (PTCs). We retrospectively reviewed 111 patients who underwent preoperative SWE evaluation among PTC patients from July 1, 2016 to June 20, 2018. Patients were divided into 2 groups based on the presence or absence of ETE based on pathology reports. Univariate and multivariate analyses of clinical and radiologic features including B-mode US features, US patterns, and SWE parameters were performed. These analyses were repeated in LNM positive and negative groups. The diagnostic performance of SWE parameters were also evaluated. Of the 111 patients, 33 had ETE, 78 did not have ETE, 44 had LNM, and 67 did not have LNM. A taller-than-wide shape and T3 stage on US were associated with ETE. Female sex, total thyroidectomy, and T3 stage on US were associated with LNM. When B-mode US and SWE were combined, there was no improvement in diagnostic performance. Combination of SWE and B-mode US findings is not useful for predicting ETE and LNM status in PTC patients.

The risk of malignancy is considered to be 10% to 30% for cases of thyroid nodules with atypia or follicular lesion of undetermined significance (AUS/FLUS). However, only a minority of patients with AUS/FLUS undergo surgery; therefore, the risk of malignancy might be overestimated due to selection bias. To overcome this problem, we categorized cases of thyroid nodules with AUS/FLUS using the ultrasound risk stratification system (US-RSS) to calculate the malignancy rate and identify the patients most suitable for surgical treatment. In this retrospective observational study, we subcategorized 382 pathologically confirmed thyroid nodules with AUS/FLUS using current US-RSSs (American Thyroid Association, Korean-Thyroid Imaging Report and Data System, American College of Radiology-Thyroid Imaging, Reporting and Data System, European Thyroid Imaging Report and Data System) and calculated the malignancy rate. Additionally, cases of nodules with AUS/FLUS were categorized according to their cytological subtypes, and the malignancy rate was calculated. Current US-RSSs showed good or moderate agreement among them. The overall malignancy rate for thyroid nodules with AUS/FLUS was 38.7%. On categorization of the nodules with AUS/FLUS, the malignancy rates were found to be 60% to 67.5% for the high suspicion category, 32.2–36.6% for the intermediate suspicion category, and 12.4% to 16.3% for the low suspicion category. The malignancy rate for nodules with cytologic atypia was significantly higher than that for nodules with architectural atypia, especially in the intermediate suspicion category. Categorization of thyroid nodules with AUS/FLUS using current US-RSSs helps to determine the optimal course of management of patients, especially when combined with cytological subtype characterization.

To investigate the most effective cutoff values for shear-wave elastography (SWE) for differentiating benign and malignant breast lesions and to evaluate the diagnostic performance of quantitative and qualitative SWE in combination with B-mode ultrasound (US).209 breast lesions from 200 patients were evaluated with B-mode US and SWE. Pathologic results determined by US-guided core needle biopsy or surgical excisions were used as a reference standard. Qualitative (four-color pattern) and quantitative analyses (Emean, Emax, SD, and E ratio) were performed. The cut-off values were defined using Youden's index. The diagnostic performance of B-mode US and combination of B-mode US with four-color pattern or quantitative parameters were compared.Of the 209 breast lesions, 102 were benign and 107 were malignant. All qualitative and quantitative SWE parameters had significantly higher specificity, positive predictive value (PPV), and accuracy compared to B-mode US (p 0.001). The optimal cutoff values for the Emax, Emean, SD and E ratio were 145.7 kPa, 89.1 kPa, 11.9, and 3.84, respectively. The optimal cutoff for color pattern was between 3 and 4. Combined B-mode US and Emax had the highest improvement, from 17.65% to 98.04% for specificity and from 58.85% to 82.78% for accuracy, with a decrease in sensitivity compared with B-mode.Quantitative and qualitative SWE combined with B-mode US improved the accuracy to differentiate benign from malignant lesions. Emax (cutoff, 145.7 kPa) appeared to be the most discriminatory parameter.

To compare the diagnostic efficacy, complication rate, and core needle biopsy (CNB) specimen yield in 18- versus 20-gauge ultrasound (US)-guided CNB for diagnosis of thyroid nodules.We included 81 consecutive thyroid nodules with US-guided biopsy by a 20-gauge core needle and 86 consecutive thyroid nodules with US-guided biopsy by an 18-gauge core needle during 2 years. The rate of inconclusive results, including nondiagnostic or atypia/follicular lesion of undetermined significance, was compared. The diagnostic performance for malignancy was assessed in nodules with a final diagnosis. The complication rate and CNB specimen yield were also compared.Eighteen-gauge CNB showed a lower rate of nondiagnostic results (1.2% versus 8.6%; P = .024) than 20-gauge CNB; however, the rates of atypia/follicular lesion of undetermined significance and inconclusive results were not significantly different between the groups (P .05). In addition, 18-gauge CNB showed higher sensitivity (75.0% versus 66.7%), a higher negative predictive value (83.9% versus 75.9%), and higher accuracy (78.3% versus 74.4%) for detecting malignancy than 20-gauge CNB, although the results did not achieve statistical significance. No major complications occurred in either of the CNB groups. The 18-gauge needle group had significantly fewer CNBs and larger specimen diameters (P .001).Core needle biopsy with an 18-gauge needle could be more effective for the diagnosis of thyroid nodules than CNB with a 20-gauge needle.

Thyroid nodules are common; however, malignancy is less than 7%. Therefore, additional techniques such as Doppler ultrasonography or elastography are used to improve diagnostic performance of conventional ultrasonography. We want to prospectively investigate the use of additional superb microvascular imaging (SMI) and strain elastography to B-mode ultrasound in thyroid nodules in distinguishing benign from malignant thyroid nodules. We analyzed 52 thyroid nodules (malignant = 26, benign = 26) and reviewers scored the likelihood of malignancy for three data sets (i.e., B-mode ultrasonography alone, B-mode ultrasonography + SMI, and B-mode ultrasonography + strain elastography). The area under the receiver-operating characteristic curve (Az) values, sensitivities, and specificities were compared. A comparison of the data sets revealed that area under the receiver-operating characteristic curve values were similar without statistical difference. However, on comparing sensitivity and specificity based on the management decision of whether to conduct fine-needle aspiration (FNA) after combining information from all three types of imaging (B-mode ultrasonography + SMI + strain elastography), specificity was significantly higher for the combined technique (34.6%) than for B-mode ultrasonography alone (11.5%), without decrease in sensitivity (P = 0.032). Additional use of SMI and strain elastography could potentially lead to increase in specificity in thyroid ultrasonography.

Axillary lymph node (ALN) status is an important prognostic factor for overall breast cancer survival. In current clinical practice, ALN status is evaluated before surgery via multimodal imaging and physical examination. Mammography is typically suboptimal for complete ALN evaluation. Currently, ultrasonography is widely used to evaluate ALN status; nonetheless, results may vary according to operator. Ultrasonography is the primary imaging modality for evaluating ALN status. Other imaging modalities including contrast-enhanced magnetic resonance imaging, computed tomography, and positron emission tomography/computed tomography can play additional roles in axillary nodal staging.The purpose of this article is (1) to review the strengths and weaknesses of current imaging modalities for nodal staging in breast cancer patients and (2) to discuss updated guidelines for ALN management with regard to preoperative ALN imaging.

Postoperative spindle cell nodule (PSCN) is a very rare pathologic complication that can occur in association with a recent core needle biopsy, surgery, or trauma. Cases of PSCN have been reported in the lower genitourinary tract, endometrium, and thyroid but are rare in the breast. Herein, we report an ultrasound-guided biopsy-proven PSCN after ultrasound-guided vacuum-assisted excision in the breast.

To compare the diagnostic performance of strain and shear wave elastography of breast masses for quantitative assessment in differentiating benign and malignant lesions and to evaluate the diagnostic accuracy of combined strain and shear wave elastography.Between January and February 2016, 37 women with 45 breast masses underwent both strain and shear wave ultrasound (US) elastographic examinations. The American College of Radiology Breast Imaging Reporting and Data System (BI-RADS) final assessment on B-mode US imaging was assessed. We calculated strain ratios for strain elastography and the mean elasticity value and elasticity ratio of the lesion to fat for shear wave elastography. Diagnostic performances were compared by using the area under the receiver operating characteristic curve (AUC).The 37 women had a mean age of 47.4 years (range, 20-79 years). Of the 45 lesions, 20 were malignant, and 25 were benign. The AUCs for elasticity values on strain and shear wave elastography showed no significant differences (strain ratio, 0.929; mean elasticity, 0.898; and elasticity ratio, 0.868; P .05). After selectively downgrading BI-RADS category 4a lesions based on strain and shear wave elastographic cutoffs, the AUCs for the combined sets of B-mode US and elastography were improved (B-mode + strain, 0.940; B-mode + shear wave; 0.964; and B-mode, 0.724; P .001). Combined strain and shear wave elastography showed significantly higher diagnostic accuracy than each individual elastographic modality (P = .031).These preliminary results showed that strain and shear wave elastography had similar diagnostic performance. The addition of strain and shear wave elastography to B-mode US improved diagnostic performance. The combination of strain and shear wave elastography results in a higher diagnostic yield than each individual elastographic modality.

OBJECTIVE: We compared the diagnostic performance of B-mode ultrasound, shear wave elastography (SWE), and combined B-mode ultrasound and SWE in small breast lesions (≤ 2 cm), and evaluated the factors associated with false SWE results. METHODS: A total of 428 small breast lesions (≤ 2 cm) of 415 consecutive patients between August 2013 and February 2017 were included. The diagnostic performance of each set was evaluated using the area under the receiver operating characteristic curve (AUC) analysis. Histologic diagnosis was used as reference standard. Multivariate logistic regression analyses identified the factors associated with false SWE results. RESULTS: Of 428 lesions, 142 (33.2%) were malignant and 286 (66.8%) were benign. The AUC of the combined modality was higher than that of B-mode ultrasound (0.792 vs 0.572, p < 0.001) and that of SWE was higher than that of B-mode ultrasound (0.718 vs 0.572, p < 0.001). Multivariate analysis showed that the smaller lesion size and in situ cancer were associated with false negative, and patient’s age, high-risk lesion, shorter distance from the skin or chest wall, and deeper breast thickness were associated with false positive (all p < 0.05). CONCLUSIONS: The addition of SWE to B-mode ultrasound could improve the diagnostic performance in ≤ 2 cm lesions. However, ultrasound lesion size, pathology, and lesion location are likely to affect the SWE value and result in false results. ADVANCES IN KNOWLEDGE: Despite the diagnostic usefulness of SWE in small breast lesions (≤ 2 cm), ultrasound lesion size, pathology, and lesion location were associated with false results.

The aims of this study were to investigate the false-negative and false-positive results on magnetic resonance (MR) computer-aided evaluation (CAE) in axillary lymph node (ALN) staging and to evaluate the related factors in patients with invasive breast cancer.From July 2011 to May 2014, 103 invasive breast cancer patients who underwent preoperative MR-CAE were included. False MR-CAE results in ALN staging were compared in terms of clinicopathologic features, baseline mammography, and breast ultrasonography. Logistic regression analyses were used to evaluate independent factors related to false results.For MR-CAE, the false-negative and false-positive results of ALN metastasis were 6.8% and 33.3%, respectively. On multivariate analysis, spiculated tumor margin (P = 0.016) and positive lymphovascular invasion (P = 0.020) were associated with false-negative results, and circumscribed tumor margin (P = 0.017) and negative lymphovascular invasion (P = 0.036) were associated with false-positive results for ALN metastasis.Tumor margin and lymphovascular invasion are the key factors that affect the false MR-CAE results in ALN staging.

This study was to investigate clinicopathological features including immunohistochemical subtype and radiological factors of primary breast cancer to predict axillary lymph node metastasis (ALNM) and preoperative risk stratification.From June 2004 to May 2014, 369 breast cancer patients (mean age, 54.7 years; range, 29-82 years) who underwent surgical axillary node sampling were included. Two radiologists retrospectively reviewed clinicopathological features, initial mammography, and initial breast ultrasonography (US). Univariate and multivariate logistic regression analyses were used to evaluate associations between ALNM and variables. Odds ratio with 95% confidence interval and risk of ALNM were calculated.Among 369 patients, 117 (31.7%) had ALNM and 252 (68.3%) had no ALNM revealed surgically. On multivariate analysis, four factors showed positive association with ALNM: the presence of symptoms (P0.001), triple-negative breast cancer subtype (P = 0.001), mass size on US (10 mm, P0.001), and Breast Imaging Reporting and Data System category on US (≥4c, P0.001). The significant risk of ALNM was particularly seen in patients with two or more factors (2, P = 0.013; 3, P0.001; 4, P0.001).The estimated risks of ALNM increased in patients with two, three, and four factors with odds ratios of 5.5, 14.3, and 60.0, respectively.The presence of symptoms, triple-negative breast cancer subtype, larger size mass on US (10 mm), and higher Breast Imaging Reporting and Data System category on US (≥4c) were positively associated with ALNM. Radiologically, US findings are significant factors that can affect the decision making process regarding ALNM. Based on risk stratification, the possibility of ALNM can be better predicted if 2 or more associated factors existed preoperatively.

Background: The relationship between biomarkers and imaging features is important because imaging findings can predict molecular features. Objectives: To investigate the relationship between clinicopathologic and radiologic factors and the immunohistochemical (IHC) profiles associated with breast cancer. Patients and Methods: From December 2004 to September 2013, 200 patients (mean age, 56 years; range, 29 - 82 years) were diagnosed with breast cancer and underwent surgery at our institution. Their medical records were reviewed to determine age, symptom presence, mammographic findings (including mass, asymmetry, microcalcifications, or negativity), sonographic Breast Imaging-Reporting and Data System (BI-RADS) category, pathologic type of cancer (invasive ductal, mucinous, medullary, or papillary carcinoma), histologic grade, T-stage, and IHC subtypes. Based on the IHC profiles, tumor subtypes were classified as luminal A, luminal B, human epidermal growth factor receptor 2 (HER2) enriched, or triple-negative (TN) cancers. Using univariate and multivariate logistic regression analyses, we looked for correlations between four IHC subtypes and two IHC subtypes (TN and non-triple negative [non-TN]) and clinicopathologic and radiologic factors, respectively. Results: Based on our univariate analyses with the four subtypes, the TN subtype showed a higher incidence of masses on mammography compared to the other subtypes (P = 0.037), and the TN subtype also tended to have the highest histologic grade among the subtypes (P < 0.001). With regard to the two IHC subtypes, the TN subtype had a significant association with medullary cancer (P = 0.021), higher histologic grade (grade 3; P < 0.001), and higher T stage (T2; P = 0.027) compared to the non-TN subtypes. In a multivariate logistic regression analysis of the clinicoradiologic factors compared to luminal A, the HER2 subtype had a significant association with BI-RADS category 4b (odds ratio [OR], 9.005; 95% confidence interval [CI], 1.414 - 57.348; P = 0.020) and borderline significance with category 4c (OR, 4.669; 95% CI, 0.970 - 22.468; P = 0.055). In a multivariate logistic regression analysis of the clinicoradiologic factors associated with the non-TN subtypes, the TN subtype was significantly correlated with medullary carcinoma (OR, 7.092; 95% CI, 1.149 - 43.772; P = 0.035). Conclusion: These results suggest that patients with the TN subtypes are more likely to have higher-histologic-grade tumors and medullary cancer. The HER2 subtype was typically associated with a higher BI-RADS category.

Background Although digital breast tomosynthesis (DBT) is an emerging technique yielding higher sensitivity and specificity compared to digital mammography (DM) alone, relative contribution of prior mammograms on the interpretation of DBT combined with DM has not been investigated. Purpose To retrospectively compare the diagnostic performances of DM, DM + DBT, and DM + DBT with prior mammograms. Material and Methods Three breast radiologists independently reviewed images of 116 patients with 24 cancers in the sequential order of DM, DM + DBT, and DM + DBT with prior mammograms using Breast Imaging Reporting and Data System (BI-RADS) assessment categories. Results The average areas under the receiver operating characteristic curve (AUC) of DM, DM + DBT, and DM + DBT with prior mammograms were 0.712, 0.777, and 0.816, respectively. Adding prior mammograms did not significantly affect the AUC of DM + DBT ( P = 0.108), whereas adding DBT significantly increased the AUC of DM ( P = 0.009). Sensitivity for DM, DM + DBT, and DM + DBT with prior mammograms was 58.3%, 69.4%, and 69.4%, and specificities were 84.1%, 85.9%, and 93.8%, respectively. Addition of DBT significantly increased the sensitivity ( P = 0.0090) of DM. Prior mammograms significantly improved the specificity of DM + DBT ( P = 0.0004), whereas adding prior mammogram did not affect sensitivity of DM + DBT ( P = 1.000). Conclusion DBT significantly increases the overall sensitivity and diagnostic performance of DM. Prior mammograms significantly increase the specificity of DM + DBT but have no significant effect on sensitivity and overall diagnostic performance.

OBJECTIVE: To correlate clinicoradiologic and pathological features of breast cancer with quantitative and qualitative shear wave elastographic parameters. METHODS: 82 breast cancers in 75 patients examined by B-mode ultrasound and shear wave elastography (SWE) were included. SWE parameters including quantitative factors [maximum elasticity (E(max)), mean elasticity (E(mean)), elasticity ratio (E(ratio)) and standard deviation (SD)] and qualitative factor (color pattern) were correlated with clinicoradiologic and pathological features using univariate and multivariate linear regression analyses. RESULTS: Presence of symptoms and larger tumor size on ultrasound were significantly associated with higher E(max), E(mean), E(ratio), and SD (all p < 0.05) on univariate analysis. Older age was significantly correlated with higher E(max) and E(mean) (p = 0.026, 0.018). Lymphovascular invasion and larger pathologic size were significantly associated with higher E(max) (p = 0.036, 0.043) and SD (p < 0.001, 0.019). No immunohistochemical biomarkers were significantly correlated with SWE parameters. There was no significant correlation between color pattern and any variable. Multivariate logistic regression analysis showed that the symptom, tumor size on ultrasound and lymphovascular invasion were independent factors that influenced the SWE values. CONCLUSION: Tumor stiffness as measured by SWE and B-mode ultrasound could help predict cancer prognosis. ADVANCES IN KNOWLEDGE: Clinicoradiologic factors had correlation with quantitative and qualitative SWE parameters. Using SWE parameters and B-mode ultrasound, we can predict breast cancer prognosis.

Purpose To investigate clinicopathologic and radiologic factors associated with false-negative results of magnetic resonance computer aided evaluation (MR-CAE) of breast MR imaging (MRI) in breast cancer patients. Materials and Methods A total of 135 breast cancer patients who underwent preoperative breast MR-CAE were included. False-negative and true-positive MR-CAE results were compared in terms of clinicopathologic and radiologic features. Univariate and multivariate analyses were used to evaluate independent factors associated with false-negative results. Result Six of 135 cancer patients (4.4%) were false negative on MRI. Conclusion Breast cancer with false-negative results on MR-CAE was classified as a lower BI-RADS category on breast ultrasound than true-positive results on MR-CAE.

To retrospectively determine the qualitative and quantitative cut-off values of the magnetic resonance computer-aided evaluation (MR CAE) parameters to differentiate between benign and metastatic axillary lymph nodes (ALNs) and to investigate the combined diagnostic performance of MR CAE imaging.From July 2011 to June 2014, 124 patients who underwent preoperative conventional MR, diffusion-weighted (DW), and MR CAE imaging were included. Computer-generated qualitative and quantitative features for ALNs were recorded, and two breast imaging radiologists interpreted the MR images for the presence of metastatic ALNs using conventional MR and DW, and in combination with MR CAE images by consensus. The cut-off values of MR CAE and diagnostic performance were derived from the receiver operating characteristic (ROC) curve.Thirty-four (26.4%) were ALN positive and 90 (73.6%) were ALN negative on the final histopathological result. On qualitative analysis, visualization on the colour map (p=0.007) and kinetic curve type (p0.001) were significantly different between the groups. On quantitative analysis, mean values (%) of persistent, plateau, and washout ratios differed significantly (p0.001). Of these significant parameters, a washout ratio of49% showed the greatest diagnostic accuracy (area under the ROC curve, 0.909). With conventional MR and DW images, sensitivity, specificity, and accuracy were 82.4%, 85.6%, and 84.7%, respectively. With added information from MR CAE images, accuracy significantly improved to 93.5% (p=0.043). The sensitivity and specificity improved to 91.2% (p=0.403) and 94.4% (p=0.086), respectively.The additive use of MR CAE improved diagnostic performance and can be helpful for differentiating benign from metastatic ALNs.

OBJECTIVE To retrospectively evaluate the features of undiagnosed breast cancers on prior screening breast magnetic resonance (MR) images in patients who were subsequently diagnosed with breast cancer, as well as the potential utility of MR-computer-aided evaluation (CAE). MATERIALS AND METHODS Between March 2004 and May 2013, of the 72 consecutive pairs of prior negative MR images and subsequent MR images with diagnosed cancers (median interval, 32.8 months; range, 5.4-104.6 months), 36 (50%) had visible findings (mean size, 1.0 cm; range, 0.3-5.2 cm). The visible findings were divided into either actionable or underthreshold groups by the blinded review by 5 radiologists. MR imaging features, reasons for missed cancer, and MR-CAE features according to actionability were evaluated. RESULTS Of the 36 visible findings on prior MR images, 33.3% (12 of 36) of the lesions were determined to be actionable and 66.7% (24 of 36) were underthreshold; 85.7% (6 of 7) of masses and 31.6% (6 of 19) of non-mass enhancements were classified as actionable lesions. Mimicking physiologic enhancements (27.8%, 10 of 36) and small lesion size (27.8%, 10 of 36) were the most common reasons for missed cancer. Actionable findings tended to show more washout or plateau kinetic patterns on MR-CAE than underthreshold findings, as the 100% of actionable findings and 46.7% of underthreshold findings showed washout or plateau (p = 0.008). CONCLUSION MR-CAE has the potential for reducing the number of undiagnosed breast cancers on screening breast MR images, the majority of which are caused by mimicking physiologic enhancements or small lesion size.

Purpose The purpose of this study was to assess the value of adding digital breast tomosynthesis (DBT) to full-field digital mammography (FFDM) in the diagnostic workup of breast cancer and to determine which lesion variables affect cancer detectability in the combined modality. Methods Between March and May 2012, paired FFDM and DBT images were obtained from 203 women as part of a diagnostic workup for breast cancer. Images from FFDM alone, DBT alone, and DBT combined with FFDM were reviewed in separate sessions by six blinded readers. Jackknife alternative free-response receiver operating characteristic (JAFROC) figure of merit (FOM), sensitivity, and specificity were compared between the modalities. Lesion characteristics affecting the cancer detection rate when using the combined modality were also analyzed. Results Among the 203 women, 126 women had a total of 129 malignancies and 77 women had total of 77 benign lesions. The overall JAFROC FOM of the combined modality was higher than that of FFDM alone (0.827 vs. 0.775, p