scholarly journals Breast Cancer Preoperative Staging: Does Contrast-Enhanced Magnetic Resonance Mammography Modify Surgery?

2011 ◽  
Vol 2011 ◽  
pp. 1-10 ◽  
Author(s):  
Chiara Perono Biacchiardi ◽  
Davide Brizzi ◽  
Franco Genta ◽  
Eugenio Zanon ◽  
Marco Camanni ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Magnetic Resonance ◽  
Tumour Size ◽  
False Positive Rate ◽  
Preoperative Staging ◽  
Newly Diagnosed ◽  
Invasive Tumour ◽  
Contrast Enhanced ◽  
Magnetic Resonance Mammography ◽  
Positive Rate

Women with newly diagnosed breast cancer may have lesions undetected by conventional imaging. Recently contrast-enhanced magnetic resonance mammography (CE-MRM) showed higher sensitivity in breast lesions detection. The present analysis was aimed at evaluating the benefit of preoperative CE-MRM in the surgical planning. From 2005 to 2009, 525 consecutive women (25–75 years) with breast cancer, newly diagnosed by mammography, ultrasound, and needle-biopsy, underwent CE-MRM. The median invasive tumour size was 19 mm. In 144 patients, CE-MRM identified additional lesions. After secondlook, 119 patients underwent additional biopsy. CE-MRM altered surgery in 118 patients: 57 received double lumpectomy or wider excision (41 beneficial), 41 required mastectomy (40 beneficial), and 20 underwent contra lateral surgery (18 beneficial). The overall false-positive rate was 27.1% (39/144). CE-MRM contributed significantly to the management of breast cancer, suggesting more extensive disease in 144/525 (27.4%) patients and changing the surgical plan in 118/525 (22.5%) patients (99/525, 18.8% beneficial).

scholarly journals Contrast-enhanced spectral mammography in the radiological assessment of response to neoadjuvant chemotherapy in breast cancer

2021 ◽  
pp. e521
Author(s):  
Anna Grażyńska ◽  
Sofija Antoniuk ◽  
Katarzyna Steinhof-Radwańska
Keyword(s):  
Breast Cancer ◽  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Neoadjuvant Chemotherapy ◽  
Residual Disease ◽  
Tumour Size ◽  
Breast Cancer Diagnosis ◽  
Chemotherapy Response ◽  
Resonance Imaging ◽  
Contrast Enhanced

Accurate morphological assessment and measurement of the residual disease following neoadjuvant chemotherapy are vital for the effective surgical treatment in patients with breast cancer. Neoadjuvant chemotherapy response is measured by RECIST 1.1 criteria (Response Evaluation Criteria in Solid Tumors), and the classification of the specific therapeutic responses is based on the difference in the tumour size prior to and after chemotherapy. There are currently a few methods of imaging used in the assessment of the neoadjuvant chemotherapy response. Conventional mammography remains the most popular method, whereas magnetic resonance imaging is considered the most effective ones. Nonetheless, the available methods tend to be imperfect and limited, and therefore, new methods are constantly investigated. Contrast-enhanced spectral mammography is a relatively new method used in breast cancer diagnosis, which involves the phenomenon of neoangiogenesis of cancerous tumours, allowing contrast enhancement in the areas of vessel proliferation in the background of the surrounding breast tissue. Contrast-enhanced spectral mammography presents sensitivity similar to magnetic resonance imaging in breast cancer detection, and can be an efficient method used in monitoring neoadjuvant chemotherapy response.

Contrast-enhanced magnetic resonance mammography: does it affect surgical decision-making in patients with breast cancer?

2007 ◽  
Vol 106 (1) ◽  
pp. 65-74 ◽  
Author(s):  
Federica Pediconi ◽  
Carlo Catalano ◽  
Simona Padula ◽  
Antonella Roselli ◽  
Enrica Moriconi ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Decision Making ◽  
Magnetic Resonance ◽  
Surgical Decision ◽  
Contrast Enhanced ◽  
Magnetic Resonance Mammography ◽  
Surgical Decision Making

scholarly journals Fully Automated Support System for Diagnosis of Breast Cancer in Contrast-Enhanced Spectral Mammography Images

2019 ◽  
Vol 8 (6) ◽  
pp. 891 ◽  
Author(s):  
Annarita Fanizzi ◽  
Liliana Losurdo ◽  
Teresa Maria A. Basile ◽  
Roberto Bellotti ◽  
Ubaldo Bottigli ◽  
...  
Keyword(s):  
Breast Cancer ◽  
False Positive Rate ◽  
Region Of Interest ◽  
Classification Model ◽  
Support Tool ◽  
Contrast Enhanced ◽  
Positive Rate ◽  
Sequential Feature Selection ◽  
Fully Automatic ◽  
Automated Support

Contrast-Enhanced Spectral Mammography (CESM) is a novelty instrumentation for diagnosing of breast cancer, but it can still be considered operator dependent. In this paper, we proposed a fully automatic system as a diagnostic support tool for the clinicians. For each Region Of Interest (ROI), a features set was extracted from low-energy and recombined images by using different techniques. A Random Forest classifier was trained on a selected subset of significant features by a sequential feature selection algorithm. The proposed Computer-Automated Diagnosis system is tested on 48 ROIs extracted from 53 patients referred to Istituto Tumori “Giovanni Paolo II” of Bari (Italy) from the breast cancer screening phase between March 2017 and June 2018. The present method resulted highly performing in the prediction of benign/malignant ROIs with median values of sensitivity and specificity of 87 . 5 % and 91 . 7 % , respectively. The performance was high compared to the state-of-the-art, even with a moderate/marked level of parenchymal background. Our classification model outperformed the human reader, by increasing the specificity over 8 % . Therefore, our system could represent a valid support tool for radiologists for interpreting CESM images, both reducing the false positive rate and limiting biopsies and surgeries.

The Utility of MRI With Multiacquisition Variable-Resonance Image Combination (MAVRIC) in Diagnosing Deep Total Hip Arthroplasty Infection

2021 ◽  
pp. 155633162110092
Author(s):  
Ashley E. Levack ◽  
Chelsea Koch ◽  
Harold G. Moore ◽  
Michael B. Cross
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Total Hip Arthroplasty ◽  
Hip Arthroplasty ◽  
False Positive ◽  
False Positive Rate ◽  
Positive Finding ◽  
Resonance Imaging ◽  
Total Hip ◽  
Positive Rate

Background: The 2010 American Academy of Orthopaedic Surgeons Clinical Practice Guidelines report insufficient evidence to address the diagnostic efficacy of magnetic resonance imaging (MRI) for periprosthetic joint infection (PJI). Questions/Purposes: The purpose of this study was to determine the utility of MRI with multiacquisition variable-resonance image combination (MAVRIC) metal artifact suppression techniques in diagnosing PJI in the setting of total hip arthroplasty (THA). Methods: Multiacquisition variable-resonance image combination MRIs obtained of THAs between November 2012 and November 2016 were queried. Radiology reports were classified as positive (suspicious for infection), negative (no features of infection), or inconclusive (infection cannot be excluded or correlation with aspiration suggested if clinically concerned). Chart review identified cases of deep PJI according to the modified Musculoskeletal Infection Society criteria. Results: Of 2156 MRIs of THAs included, MRI was concerning for infection in 1.8% (n = 39), inconclusive in 1.2% (n = 26), and negative in 97.0% (n = 2091). Deep PJI was identified in 53 (2.5%) patients, 30 of whom (56.6%) had conclusively positive finding on MRI (false-negative rate: 43.4%, sensitivity: 56.6%). Of 2103 aseptic THAs, only 9 (0.4%) MRIs were read as suspicious for infection (false-positive rate: 0.4%; specificity: 99.6%). Conclusion: Magnetic resonance imaging with MAVRIC is a highly specific test for PJI with a low false-positive rate. This indicates that when clinicians are provided with an MRI that unexpectedly suggests infection, a formal evaluation for infection is indicated. In patients with otherwise equivocal diagnostic findings, MRI may help confirm, but not refute, a diagnosis of PJI. Prospective study with more experienced image reviewers may further support the use of MRI in PJI.

Contrast-Enhanced Mammography for Newly Diagnosed Breast Cancer in Women With Breast Augmentation: Preliminary Findings

2021 ◽  
Author(s):  
Molly Carnahan ◽  
Barbara Pockaj ◽  
Victor Pizzitola ◽  
Marina Giurescu ◽  
Roxanne Lorans ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Breast Augmentation ◽  
Newly Diagnosed ◽  
Contrast Enhanced
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