Impact of Second-Opinion Interpretation of Breast Imaging Studies in Patients Not Currently Diagnosed With Breast Cancer

2018 ◽  
Vol 15 (7) ◽  
pp. 980-987.e1 ◽  
Author(s):  
Lauren Q. Chang Sen ◽  
Ray C. Mayo ◽  
Michele D. Lesslie ◽  
Wei T. Yang ◽  
Jessica W.T. Leung
Keyword(s):  
Breast Cancer ◽  
Breast Imaging ◽  
Second Opinion ◽  
Imaging Studies

scholarly journals The Usefulness of Spectral Mammography in Surgical Planning of Breast Cancer Treatment—Analysis of 999 Patients with Primary Operable Breast Cancer

2021 ◽  
Vol 28 (4) ◽  
pp. 2548-2559
Author(s):  
Andrzej Lorek ◽  
Katarzyna Steinhof-Radwańska ◽  
Anna Barczyk-Gutkowska ◽  
Wojciech Zarębski ◽  
Piotr Paleń ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Predictive Value ◽  
Breast Imaging ◽  
Incidence Rates ◽  
Diagnostic Sensitivity ◽  
Breast Cancer Surgery ◽  
Imaging Method ◽  
Treatment Change ◽  
Contrast Enhanced ◽  
General Number

Contrast-enhanced spectral mammography (CESM) is a promising, digital breast imaging method for planning surgeries. The study aimed at comparing digital mammography (MG) with CESM as predictive factors in visualizing multifocal-multicentric cancers (MFMCC) before determining the surgery extent. We analyzed 999 patients after breast cancer surgery to compare MG and CESM in terms of detecting MFMCC. Moreover, these procedures were assessed for their conformity with postoperative histopathology (HP), calculating their sensitivity and specificity. The question was which histopathological types of breast cancer were more frequently characterized by multifocality–multicentrality in comparable techniques as regards the general number of HP-identified cancers. The analysis involved the frequency of post-CESM changes in the extent of planned surgeries. In the present study, MG revealed 48 (4.80%) while CESM 170 (17.02%) MFMCC lesions, subsequently confirmed in HP. MG had MFMCC detecting sensitivity of 38.51%, specificity 99.01%, PPV (positive predictive value) 85.71%, and NPV (negative predictive value) 84.52%. The respective values for CESM were 87.63%, 94.90%, 80.57% and 96.95%. Moreover, no statistically significant differences were found between lobular and NST cancers (27.78% vs. 21.24%) regarding MFMCC. A treatment change was required by 20.00% of the patients from breast-conserving to mastectomy, upon visualizing MFMCC in CESM. In conclusion, mammography offers insufficient diagnostic sensitivity for detecting additional cancer foci. The high diagnostic sensitivity of CESM effectively assesses breast cancer multifocality/multicentrality and significantly changes the extent of planned surgeries. The multifocality/multicentrality concerned carcinoma, lobular and invasive carcinoma of no special type (NST) cancers with similar incidence rates, which requires further confirmation.

scholarly journals Correlation of breast imaging and pathological subtype of young breast cancer under 35 years old

The Breast ◽  
2021 ◽  
Vol 56 ◽  
pp. S83-S84
Author(s):  
T. Rakchob ◽  
P. Jittawannarat ◽  
P. Moonwiriyakit ◽  
U. Seehawong
Keyword(s):  
Breast Cancer ◽  
Breast Imaging ◽  
Pathological Subtype ◽  
Young Breast Cancer

scholarly journals Application of a second opinion ultrasound in Breast Imaging Reporting and Data System 4A cases: can immediate biopsy be avoided?

2021 ◽  
Vol 49 (6) ◽  
pp. 030006052110244
Author(s):  
Yantao Cai ◽  
Chenfang Zhu ◽  
Qianqian Chen ◽  
Feng Zhao ◽  
Shanyu Guo
Keyword(s):  
Minimally Invasive ◽  
Predictive Factors ◽  
Breast Imaging ◽  
Protective Factor ◽  
Multivariate Analyses ◽  
Data System ◽  
Second Opinion ◽  
Factors Associated ◽  
Peripheral Location ◽  
Biopsy Rate

Objective The probability of malignancy in women who are diagnosed with a Breast Imaging Reporting and Data System (BI-RADS) 4A score is low. Application of a second opinion ultrasound (SOUS), which is low in cost and minimally invasive, may lower the biopsy rate for patients who fall into this category. This study aimed to apply SOUS to patients with a BI-RADS score of 4A and predict the pathological results of a biopsy. Methods One hundred seventy-eight patients were analyzed. Univariate and multivariate analyses were performed to screen for predictive factors that are associated with malignancy. Categorical alteration of downgraded, unchanged, or upgraded was made after SOUS results. Changes in category were compared with biopsies to determine their predictive value of benignancy or malignancy. Results Independent factors associated with malignancy were age (>50 years), tumor size (≥20 mm), margin (not circumscribed), orientation (not parallel), and peripheral location, and an upgraded categorical alteration from SOUS. Downgraded categorical alterations were associated with benignancy. Conclusions In BI-RADS 4A cases, a biopsy is recommended when independent factors are associated with malignancy. A downgraded result from an SOUS examination is a protective factor, supporting the likelihood of benignancy in these patients.

Imaging Approaches and Findings in the Reconstructed Breast: A Pictorial Essay

2011 ◽  
Vol 62 (1) ◽  
pp. 60-72 ◽  
Author(s):  
Anabel M. Scaranelo ◽  
Bridgette Lord ◽  
Riham Eiada ◽  
Stefan O. Hofer
Keyword(s):  
Breast Cancer ◽  
Breast Reconstruction ◽  
Cancer Detection ◽  
Reconstructive Surgery ◽  
Genetic Screening ◽  
Breast Imaging ◽  
Breast Cancer Detection ◽  
Imaging Findings ◽  
Pictorial Essay ◽  
Reconstructed Breast

Advances in breast imaging over the last 15 years have improved early breast cancer detection and management. After treatment for breast cancer, many women choose to have reconstructive surgery. In addition, with the availability of widespread genetic screening for breast cancer, an increasing number of women are choosing prophylactic mastectomies and subsequent breast reconstruction. The purpose of this pictorial essay is to present the spectrum of imaging findings in the reconstructed breast.

Molecular Breast Imaging: A Scientific Review

2021 ◽  
Author(s):  
Katie N Hunt
Keyword(s):  
Breast Cancer ◽  
Breast Imaging ◽  
Breast Mri ◽  
Cancer Staging ◽  
Scientific Review ◽  
Molecular Breast Imaging ◽  
Breast Cancer Staging ◽  
Fast Learning ◽  
Technical Advances ◽  
History Of

Abstract Molecular breast imaging (MBI) is a nuclear medicine technique that has evolved considerably over the past two decades. Technical advances have allowed reductions in administered doses to the point that they are now acceptable for screening. The most common radiotracer used in MBI, 99mTc-sestamibi, has a long history of safe use. Biopsy capability has become available in recent years, with early clinical experience demonstrating technically successful biopsies of MBI-detected lesions. MBI has been shown to be an effective supplemental screening tool in women with dense breasts and is also utilized for breast cancer staging, assessment of response to neoadjuvant chemotherapy, problem solving, and as an alternative to breast MRI in women who have a contraindication to MRI. The degree of background parenchymal uptake on MBI shows promise as a tool for breast cancer risk stratification. Radiologist interpretation is guided by a validated MBI lexicon that mirrors the BI-RADS lexicon. With short interpretation times, a fast learning curve for radiologists, and a substantially lower cost than breast MRI, MBI provides many benefits in the practices in which it is utilized. This review will discuss the current state of MBI technology, clinical applications of MBI, MBI interpretation, radiation dose associated with MBI, and the future of MBI.

AUTOMATIC SEGMENTATION OF BREAST TISSUE THERMAL IMAGES

2018 ◽  
Vol 30 (03) ◽  
pp. 1850024 ◽  
Author(s):  
Zeinab Heidari ◽  
Mehrdad Dadgostar ◽  
Zahra Einalou
Keyword(s):  
Breast Cancer ◽  
Image Processing ◽  
Breast Imaging ◽  
Breast Tissue ◽  
Early Stage ◽  
Automatic Segmentation ◽  
Image Data ◽  
Thermal Images ◽  
Early Stages ◽  
Invasive Method

Breast cancer is one of the main causes of women’s death. Thermal breast imaging is one the non-invasive method for cancer at early stage diagnosis. In contrast to mammography this method is cheap and painless and it can be used during pregnancy while ionized beams are not used. Specialists are seeking new ways to diagnose the cancer in early stages. Segmentation of the breast tissue is one of the most indispensable stages in most of the cancer diagnosis methods. By the advancement of infrared precise cameras, new and fast computers and nouvelle image processing approaches, it is feasible to use thermal imaging for diagnosis of breast cancer at early stages. Since the breast form is different in individuals, image segmentation is a hard task and semi-automatic or manual methods are usual in investigations. In this research the image data base of DMR-IR has been utilized and a now automatic approach has been proposed which does not need learning. Data were included 159 gray images used by dynamic protocol (132 healthy and 27 patients). In this study, by combination of different image processing methods, the segmentation of thermal images of the breast tissues have been completed automatically and results show the proper performance of recommended method.

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