Sonographic differentiation of invasive and intraductal carcinomas of the breast

Unveiling the Anticarcinogenic Potential of Inula racemosa Hook. f. Root Extract Against DMBA-Induced Mammary Tumour in Sprague Dawley Rats

The Himalayan plant Inula racemosa has medicinal properties and can be used to prevent or treat cancer. This is because it contains certain chemicals that are known to fight cancer cells with few or no side effects. I. racemosa has been used for this purpose for many years in traditional medicine and has shown promising results. The present study was crafted to explore the suppressive impacts on cellular proliferation of the root extract derived from I. racemosa via in vivo experimentation. I. racemosa (IR) root extract was tested at three different doses (100, 250, and 500 mg/Kg BW) for 18 weeks to assess its anti-neoplastic activity against mammary tumors in female rats. The assessment included various parameters such as hematological and biochemical indices, tumor parameters, oxidative stress analysis, gross and histopathological lesion determination, Masson's trichrome staining, immunohistochemical expression of Ki-67, MMP-9, and VEGF in mammary gland tissues, and molecular docking. The chemopreventive action of IR root extract was demonstrated by the inhibition of tumor parameters (tumor size and tumor volume), minimum changes in the liver (ALT, AST, and ALP) and kidney enzymes (BUN and creatinine), declined lipid peroxidation activity, decline gross, and histological changes in mammary gland tumors, reduced expression of KI-67, MMP-9, and VEGF and maximum binding affinity of isoalantolactone with VEGF through molecular docking. The study suggests that the active constituents (isoalantolactone and alantolactone) of I. racemosa roots have anti-neoplastic activity against mammary tumors, making them a valuable therapeutic regimen for the future.

Machine Learning Algorithm for Distinguishing Ductal Carcinoma In Situ from Invasive Breast Cancer

Purpose: Given that early identification of breast cancer type allows for less-invasive therapies, we aimed to develop a machine learning model to discriminate between ductal carcinoma in situ (DCIS) and minimally invasive breast cancer (MIBC). Methods: In this retrospective study, the health records of 420 women who underwent biopsies between 2010 and 2020 to confirm breast cancer were collected. A trained XGBoost algorithm was used to classify cancers as either DCIS or MIBC using clinical characteristics, mammographic findings, ultrasonographic findings, and histopathological features. Its performance was measured against other methods using area under the receiver operating characteristic curve (AUC), sensitivity, specificity, accuracy, precision, and F1 score. Results: The model was trained using 357 women and tested using 63 women with an overall 420 patients (mean [standard deviation] age, 57.1 [12.0] years). The model performed well when feature importance was determined, reaching an accuracy of 0.84 (95% confidence interval [CI], 0.76–0.91), an AUC of 0.93 (95% CI, 0.87–0.95), a specificity of 0.75 (95% CI, 0.67–0.83), and a sensitivity of 0.91 (95% CI, 0.76–0.94). Conclusion: The XGBoost model, combining clinical, mammographic, ultrasonographic, and histopathologic findings, can be used to discriminate DCIS from MIBC with an accuracy equivalent to that of experienced radiologists, thereby giving patients the widest range of therapeutic options.

Ultrasound Features of Breast Cancer for Predicting Axillary Lymph Node Metastasis

OBJECTIVES

The purpose of this study was to assess the clinical value of ultrasound (US) features of breast lesions for predicting the risk of axillary lymph node metastasis in patients with breast cancer.

METHODS

In this retrospective study, 425 patients with breast cancer were recruited, and their preoperative US features and postoperative pathologic results were collected. The association of these US features of breast cancer with axillary lymph node metastasis was determined by univariate and multivariate analyses.

RESULTS

Among the 425 patients, 200 (47.1%) had axillary lymph node metastasis, and 225 (52.9%) did not. The parameters of tumor shape, color Doppler flow imaging grades, histologic grade, and E-cadherin level were significantly and independently associated with axillary lymph node metastasis (P < .05 for all).

CONCLUSIONS

Axillary lymph node metastasis was prone to happen in patients with US features of an irregular tumor shape and higher color Doppler flow imaging grades. Ultrasound imaging provides a promising tool for predicting axillary lymph node metastasis in patients with breast cancer.

Assessing Risk Category of Breast Cancer by Ultrasound Imaging Characteristics

The purpose of our study was to assess the potential clinical value of ultrasound imaging in predicting risk category in patients with breast cancer. Three hundred thirty-six patients were enrolled and divided into a high-risk group (99, 29.5%) and mid- to low-risk group (237, 70.5%) according to the St. Gallen risk criteria. All data were retrospectively collected to analyze correlations between ultrasound features and risk category. The results revealed that the ultrasound features of irregular shape (p= 0.002), vertical growth orientation (p= 0.002), angular contour (p= 0.022) and high color Doppler flow imaging grade (p= 0.001) tended to be present in images of the high-risk group. Therefore, tumor ultrasound features should be recognized as an ideal option for determination of risk category in patients with breast cancer.

Invasive ductal breast carcinoma with predominant intraductal component: Clinicopathological features and prognosis

PURPOSE

Invasive ductal carcinoma with predominant intraductal component (IDCPIC) represents almost 5% of breast cancers. Nevertheless few data exist concerning their characteristics and prognostic behaviour. Our objective was to describe IDCPIC's clinicopathological and prognostic features and compare them to that of invasive ductal carcinoma without predominant intraductal component (IDC).

METHODS

Retrospective single centre study including all the localized invasive ductal carcinoma listed in our institutional database. Clinical, radiological and pathological criteria were collected as well as disease-free survival (DFS) data.

RESULTS

From 1995 to 2008, 4109 invasive ductal breast cancers treated were included. Out of them 192 (4.7%) were IDCPIC. Most of IDCPIC (63%) were discovered by radiological screening whereas IDC suspicion was more often clinical (82.7% vs 49.5%, p < 0.001). Pathological lymph node involvement was less frequent in IDCPIC (35.8 vs 44.3%, p = 0.04). Invasive tumour median size was 2-fold smaller in IDCPIC (10 mm vs 20 mm, p<0.001). Hormone receptors expression was similar between both groups whereas HER2 overexpression was more frequent in IDCPIC (32% vs 14.3%, p<0.001). Mastectomy was more frequently performed for IDCPIC (67.7% vs 30.3%, p < 0.001) whereas chemotherapy and radiation therapy were less frequent (55.5% vs 68%, and 82.8% vs 95.5%, respectively, p < 0.001 for both). After matching for discriminant clinicopathological features (tumour size, lymph node involvement, vascular invasion, HER2), DFS was similar in both groups (5-year DFS of 87.4% vs 84.4%, p = 0.47).

CONCLUSION

IDCPIC and other IDC with invasive components showing similar clinicopathological features display a similar prognosis.

Correlation between sonographic findings and clinicopathologic and biologic features of pure ductal carcinoma in situ in 691 patients

OBJECTIVE

The objective of our study was to compare the sonographic features of pure ductal carcinoma in situ (DCIS) lesions with the initial clinical presentation and histopathologic findings.

MATERIALS AND METHODS

The images and records of 691 patients with pure DCIS who underwent preoperative mammography and whole-breast sonography as part of staging workup in a single institution from January 1, 1996, through July 31, 2009, were reviewed. The BI-RADS sonography lexicon was used when reviewing the sonographic studies. Histopathologic features recorded included estrogen receptor (ER) status, nuclear grade, and presence or absence of comedonecrosis. Statistical comparisons were made using the Student t test, chi-square test, Fisher exact test, Kruskal-Wallis or Wilcoxon rank sum test, multiple logistic regression analysis, and Pearson correlation coefficient.

RESULTS

A total of 304 (44%) tumors were visible on mammography and sonography; 315 (46%), on mammography only; 58 (8%), on sonography only; and 14 (2%), on neither mammography nor sonography. The most common sonographic appearance of DCIS was an irregular hypoechoic mass with indistinct margins and normal posterior features that was indistinguishable from invasive carcinoma. Patients with symptomatic high-nuclear-grade DCIS, dense breasts, and comedonecrosis were younger and had larger tumors on sonography than asymptomatic women with nondense breasts and low-nuclear-grade and noncomedo DCIS. Women with ER-negative DCIS were older and had larger tumors on sonography than women with ER-positive DCIS. ER-negative tumors were more frequently visible on sonography than ER-positive tumors (p=0.007). High-grade DCIS (p<0.0001) and comedo DCIS (p<0.0001) presented more frequently as microcalcifications, architectural distortion, and ductal changes on sonography than low-grade DCIS or noncomedo DCIS.

CONCLUSION

Of the 691 pure DCIS lesions, 362 (52%) were visible on sonography and presented most commonly as a mass. Lesion visibility of DCIS on sonography was not related to nuclear grade or the presence of comedonecrosis.

Mammography and ultrasound imaging of preinvasive and invasive canine spontaneous mammary cancer and their similarities to human breast cancer

Understanding the evolution of proliferative breast disease such as atypical hyperplasia and carcinoma in situ is essential for clinical management of women diagnosed with these lesions. Therefore, an animal model that faithfully represents human breast disease in every aspect from spontaneity of dysplasia onset, histopathologic features, and genetics to clinical outcome is needed. Previously, we studied canine spontaneous atypical hyperplasia and ductal carcinoma in situ (low, intermediate, and high grade) and reported their similarities to human lesions in histopathologic and molecular features as well as prevalence. To further validate the resemblance of these lesions to humans, we examined their mammographic and sonographic characteristics in comparison with those of human's as well as the potential of the human Breast Imaging Reporting and Data System (BI-RADS) to predict canine disease. Nonlesional, benign, and malignant mammary glands of dogs presented to Sassari Veterinary Hospital were imaged using mammography and ultrasonography. The images where then analyzed and statistically correlated with histopathologic findings and to their similarities to humans. Our results showed that canine mammary preinvasive lesions, benign, and malignant tumors have mammographic abnormalities, including the presence, pattern, and distribution of macrocalcification and microcalcification, similar to their human counterparts. BI-RADS categorization is an accurate predictor of mammary malignancy in canine, with 90% sensitivity and 82.8% specificity. The similarities of mammographic images and the ability of BI-RADS to predict canine mammary malignances with high specificity and sensitivity further confirm and strengthen the value of dog as a model to study human breast premalignancies for the development of prognostic biomarkers.

Ultrasound findings and histological features of ductal carcinoma in situ detected by ultrasound examination alone

BACKGROUND

With the increasing use of high-resolution ultrasound (US) examination, many breast carcinomas that cannot be identified by mammography (MMG) alone have been detected. Many of these carcinomas are ductal carcinoma in situ (DCIS) and small-sized invasive carcinomas. Until date, DCISs have often been described as palpable masses with calcifications on MMG, but what are the characteristics of DCISs that are detectable by US alone?

METHODS

One hundred fifty cases with DCIS that we experienced at our clinic from 2003 to 2007 were classified into 47 cases (echo group) diagnosed by US alone and 103 cases (MMG/PE group) diagnosed by MMG or clinically.

RESULTS

US findings of the echo group showed cystic or solid lesions in 37 cases (79%). The mean age of the echo group was significantly higher than that of the MMG/PE group (59.6 vs. 51.2 years; P < 0.01). Tumor sizes detected by US were 5.7 + 2.8 and 11.5 + 10.8 mm (P < 0.001), respectively. The tumor sizes of the echo group were, therefore, approximately half that of the MMG/PE group. Extensive intraductal components were significantly fewer in the echo group, and tumor grades of the echo group were significantly low (Van Nuys classification). In the echo group, all cases with a tumor size < 5 mm were grade 1 by Van Nuys classification. In addition, cases with > or = 5 mm tumor size had a significantly lower tumor grade in the echo group than in the MMG/PE group.

CONCLUSIONS

Cystic or solid lesions accounted for approximately 80% of US findings of DCISs detected by US alone, and most were similar to benign forms. Moreover, most DCISs detected by US alone were localized and of low grade (Van Nuys classification).

Correlation of ultrasound findings with histology, tumor grade, and biological markers in breast cancer

BACKGROUND AND PURPOSE

Ultrasound has been used successfully to differentiate benign and malignant breast lesions. The aim of this study was to investigate the correlation between ultrasound and prognostic indicators in breast cancer such as histological type, tumor grade, and biological markers.

MATERIALS AND METHODS

Ultrasound findings (shape, margin, orientation, boundary, echo pattern, posterior acoustic feature, and presence of calcifications) of 458 breast cancers were analyzed and correlated with the tumor type, tumor grade, and biological markers by univariate and multivariate logistic regression analyses. The biological markers were estrogen receptor, progesterone receptor, and HER-2/neu.

RESULTS

Invasive cancers displayed more frequently an irregular shape, a not parallel orientation, and a hypoechoic or complex echo pattern than carcinoma in situ cases (p < 0.05). Poorly differentiated invasive cancers had more frequently not circumscribed margins, an abrupt boundary, and a hypoechoic or complex echo pattern than moderately/well differentiated cancers (p < 0.05). Estrogen or progesterone receptor negative cancers more often displayed a hypoechoic or complex echo pattern and HER-2/neu positive cancers had more calcifications (p < 0.05).

CONCLUSION

Ultrasound pattern is correlated with tumor type, tumor grade, and biological markers in breast cancers and it may be useful for prediction of prognosis.

Diagnosis of the intraductal component of invasive breast cancer: assessment with mammography and sonography

OBJECTIVE

The aim of this study was to investigate mammographic and sonographic features and their sensitivities for depiction of the intraductal component associated with invasive ductal carcinoma (IDC).

METHODS

During a 1-year period, 132 patients with IDC underwent surgical treatment. All patients underwent mammography and high-resolution sonography, and the findings were reported according to the American College of Radiology's Breast Imaging Reporting and Data System lexicon. Tumors were classified as "pure IDC" and "IDC with an intraductal component" by histopathologic evaluation. We compared mammographic and sonographic features between the above 2 groups and attempted to correlate them with histopathologic findings. We also investigated separate and combined sensitivities, specificities, and accuracies of both mammography and breast sonography for showing intraductal components. Finally, imaging measurements were compared with pathologic measurements.

RESULTS

One hundred four (79%) of the 132 IDCs contained an intraductal component. Patients with IDC with an intraductal component showed calcifications on mammography and showed an echogenic halo, duct dilatation, calcifications, and increased vascularity in surrounding tissue on sonography more frequently than patients with pure IDC. The sensitivities of mammography, sonography, and their combined assessment for detection of an intraductal component were 55%, 80%, and 86%, respectively. The combined assessment (r = 0.90) measured the extent of the tumor more accurately than mammography (r = 0.71) or sonography (r = 0.79) separately.

CONCLUSIONS

Combined assessment with mammography and sonography offers more accurate information for the presence of an intraductal component and the extent of a tumor than each separate assessment.

Mainstream breast cancer radiology perspective

Clinical breast-imaging tests must be fast, sensitive, specific, add information not otherwise available to clinicians at a reasonable cost, and be biopsy-capable. Mammography, breast ultrasound and imaging guided breast core biopsies and preoperative needle localizations are most often used in breast imaging facilities around the world. This article will describe mammography and breast ultrasound in current clinical practice for breast cancer detection, diagnosis, staging, image-guided biopsy, and for evaluation of response to neoadjuvant chemotherapy.

Mammography of ductal carcinoma in situ of the breast: review of 909 cases with radiographic-pathologic correlations

We retrospectively analysed mammographies of 909 ductal carcinoma in situ (DCIS) (1980-1999) and compared our results to those of literature. Microcalcifications were present in 75% of the cases, and soft-tissue abnormalities in 27% cases with association with calcifications in 14% of cases. Palpable masses were found in 12% of the cases and nipple discharge was present in 12% of the cases. The radiographic-pathologic correlation allowed to suspect the DCIS "aggressiveness" on radiologic signs. Granular, linear, branching and/or galactophoric topography of the microcalcifications were correlated with necrosis, grade 3, comedocarcinoma type. A number of microcalcifications higher than 20 was correlated with necrosis and grade 3. Mammographic size was correlated to histologic size. Masses were correlated with grade 1. A diagnosis strategy can be proposed with a multidisciplinar approach.