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  1. Article ; Online: Standalone AI in Breast Cancer Screening: Where We Are and What Is to Be Achieved.

    Scaranelo, Anabel M

    Radiology

    2023  Volume 307, Issue 5, Page(s) e230935

    MeSH term(s) Humans ; Female ; Breast Neoplasms/diagnostic imaging ; Early Detection of Cancer ; Mammography ; Breast ; Artificial Intelligence
    Language English
    Publishing date 2023-05-23
    Publishing country United States
    Document type Editorial ; Comment
    ZDB-ID 80324-8
    ISSN 1527-1315 ; 0033-8419
    ISSN (online) 1527-1315
    ISSN 0033-8419
    DOI 10.1148/radiol.230935
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: What's Hot in Breast MRI.

    Scaranelo, Anabel M

    Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes

    2021  Volume 73, Issue 1, Page(s) 125–140

    Abstract: Several articles in the literature have demonstrated a promising role for breast MRI techniques that are more economic in total exam time than others when used as supplement to mammography for detection and diagnosis of breast cancer. There are many ... ...

    Abstract Several articles in the literature have demonstrated a promising role for breast MRI techniques that are more economic in total exam time than others when used as supplement to mammography for detection and diagnosis of breast cancer. There are many technical factors that must be considered in the shortened breast MRI protocols to cut down time of standard ones, including using optimal fat suppression, gadolinium-chelates intravascular contrast administrations for dynamic imaging with post processing subtractions and maximum intensity projections (MIP) high spatial and temporal resolution among others. Multiparametric breast MRI that includes both gadolinium-dependent, i.e., dynamic contrast-enhanced (DCE-MRI) and gadolinium-free techniques, i.e., diffusion-weighted/diffusion-tensor magnetic resonance imaging (DWI/DTI) are shown by several investigators that can provide extremely high sensitivity and specificity for detection of breast cancer. This article provides an overview of the proven indications for breast MRI including breast cancer screening for higher than average risk, determining chemotherapy induced tumor response, detecting residual tumor after incomplete surgical excision, detecting occult cancer in patients presenting with axillary node metastasis, detecting residual tumor after incomplete breast cancer surgical excision, detecting cancer when results of conventional imaging are equivocal, as well patients suspicious of having breast implant rupture. Despite having the highest sensitivity for breast cancer detection, there are pitfalls, however, secondary to false positive and false negative contrast enhancement and contrast-free MRI techniques. Awareness of the strengths and limitations of different approaches to obtain state of the art MR images of the breast will facilitate the work-up of patients with suspicious breast lesions.
    MeSH term(s) Breast/diagnostic imaging ; Breast Neoplasms/diagnostic imaging ; Female ; Humans ; Magnetic Resonance Imaging/methods
    Language English
    Publishing date 2021-08-12
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 418190-6
    ISSN 1488-2361 ; 0846-5371 ; 0008-2902
    ISSN (online) 1488-2361
    ISSN 0846-5371 ; 0008-2902
    DOI 10.1177/08465371211030944
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Magnetic resonance imaging of "pure" sclerosing adenosis of the breast with surgical pathology correlation.

    Cao, Rui Lily / Scaranelo, Anabel M

    The breast journal

    2019  Volume 25, Issue 1, Page(s) 143–144

    MeSH term(s) Adult ; Female ; Fibrocystic Breast Disease/diagnostic imaging ; Fibrocystic Breast Disease/pathology ; Fibrocystic Breast Disease/surgery ; Humans ; Magnetic Resonance Imaging/methods
    Language English
    Publishing date 2019-01-04
    Publishing country United States
    Document type Case Reports ; Journal Article
    ZDB-ID 1289960-4
    ISSN 1524-4741 ; 1075-122X
    ISSN (online) 1524-4741
    ISSN 1075-122X
    DOI 10.1111/tbj.13178
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Breast Cancer Detection Using a Low-Dose Positron Emission Digital Mammography System.

    Freitas, Vivianne / Li, Xuan / Scaranelo, Anabel / Au, Frederick / Kulkarni, Supriya / Ghai, Sandeep / Taeb, Samira / Bubon, Oleksandr / Baldassi, Brandon / Komarov, Borys / Parker, Shayna / Macsemchuk, Craig A / Waterston, Michael / Olsen, Kenneth O / Reznik, Alla

    Radiology. Imaging cancer

    2024  Volume 6, Issue 2, Page(s) e230020

    Abstract: Purpose To investigate the feasibility of low-dose positron emission mammography (PEM) concurrently to MRI to identify breast cancer and determine its local extent. Materials and Methods In this research ethics board-approved prospective study, ... ...

    Abstract Purpose To investigate the feasibility of low-dose positron emission mammography (PEM) concurrently to MRI to identify breast cancer and determine its local extent. Materials and Methods In this research ethics board-approved prospective study, participants newly diagnosed with breast cancer with concurrent breast MRI acquisitions were assigned independently of breast density, tumor size, and histopathologic cancer subtype to undergo low-dose PEM with up to 185 MBq of fluorine 18-labeled fluorodeoxyglucose (
    MeSH term(s) Humans ; Female ; Middle Aged ; Breast Neoplasms/diagnostic imaging ; Fluorodeoxyglucose F18 ; Positron-Emission Tomography/methods ; Prospective Studies ; Electrons ; Radiopharmaceuticals ; Tomography, X-Ray Computed ; Mammography
    Chemical Substances Fluorodeoxyglucose F18 (0Z5B2CJX4D) ; Radiopharmaceuticals
    Language English
    Publishing date 2024-02-09
    Publishing country United States
    Document type Journal Article
    ISSN 2638-616X
    ISSN (online) 2638-616X
    DOI 10.1148/rycan.230020
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Evaluation of a High-Sensitivity Organ-Targeted PET Camera.

    Stiles, Justin / Baldassi, Brandon / Bubon, Oleksandr / Poladyan, Harutyun / Freitas, Vivianne / Scaranelo, Anabel / Mulligan, Anna Marie / Waterston, Michael / Reznik, Alla

    Sensors (Basel, Switzerland)

    2022  Volume 22, Issue 13

    Abstract: The aim of this study is to evaluate the performance of the Radialis organ-targeted positron emission tomography (PET) Camera with standardized tests and through assessment of clinical-imaging results. Sensitivity, count-rate performance, and spatial ... ...

    Abstract The aim of this study is to evaluate the performance of the Radialis organ-targeted positron emission tomography (PET) Camera with standardized tests and through assessment of clinical-imaging results. Sensitivity, count-rate performance, and spatial resolution were evaluated according to the National Electrical Manufacturers Association (NEMA) NU-4 standards, with necessary modifications to accommodate the planar detector design. The detectability of small objects was shown with micro hotspot phantom images. The clinical performance of the camera was also demonstrated through breast cancer images acquired with varying injected doses of 2-[fluorine-18]-fluoro-2-deoxy-D-glucose (
    MeSH term(s) Fluorodeoxyglucose F18 ; Humans ; Phantoms, Imaging ; Positron-Emission Tomography ; Reference Standards
    Chemical Substances Fluorodeoxyglucose F18 (0Z5B2CJX4D)
    Language English
    Publishing date 2022-06-21
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2052857-7
    ISSN 1424-8220 ; 1424-8220
    ISSN (online) 1424-8220
    ISSN 1424-8220
    DOI 10.3390/s22134678
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Effect of IV Administration of a Gadolinium-Based Contrast Agent on Breast Diffusion-Tensor Imaging.

    Scaranelo, Anabel M / Degani, Hadassa / Grobgeld, Dov / Talbot, Nancy / Bodolai, Karen / Furman-Haran, Edna

    AJR. American journal of roentgenology

    2020  Volume 215, Issue 4, Page(s) 1030–1036

    Abstract: OBJECTIVE. ...

    Abstract OBJECTIVE.
    MeSH term(s) Administration, Intravenous ; Adult ; Aged ; Breast Neoplasms/diagnostic imaging ; Carcinoma, Ductal, Breast/diagnostic imaging ; Carcinoma, Intraductal, Noninfiltrating/diagnostic imaging ; Cohort Studies ; Contrast Media/administration & dosage ; Diffusion Tensor Imaging ; Female ; Humans ; Image Processing, Computer-Assisted ; Middle Aged ; Organometallic Compounds/administration & dosage ; Pilot Projects ; ROC Curve
    Chemical Substances Contrast Media ; Organometallic Compounds ; gadobutrol (1BJ477IO2L)
    Language English
    Publishing date 2020-07-29
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 82076-3
    ISSN 1546-3141 ; 0361-803X ; 0092-5381
    ISSN (online) 1546-3141
    ISSN 0361-803X ; 0092-5381
    DOI 10.2214/AJR.19.22085
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: The Canadian Society of Breast Imaging Breast Magnetic Resonance Imaging Working Group Report.

    Khoury, Mona El / Yong-Hing, Charlotte J / Scaranelo, Anabel M / Kornecki, Anat / Hapgood, Connie / Horwitz, Trevor / Grimes, Josh / Clouthier, Marie-Josée / Seely, Jean M

    Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes

    2022  Volume 73, Issue 4, Page(s) 704–705

    MeSH term(s) Breast Neoplasms/diagnostic imaging ; Canada ; Consensus ; Female ; Humans ; Magnetic Resonance Imaging
    Language English
    Publishing date 2022-03-08
    Publishing country United States
    Document type Letter
    ZDB-ID 418190-6
    ISSN 1488-2361 ; 0846-5371 ; 0008-2902
    ISSN (online) 1488-2361
    ISSN 0846-5371 ; 0008-2902
    DOI 10.1177/08465371221084047
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  8. Article ; Online: A Computerized System to Assess Axillary Lymph Node Malignancy from Sonographic Images.

    Chmielewski, Aneta / Dufort, Paul / Scaranelo, Anabel M

    Ultrasound in medicine & biology

    2015  Volume 41, Issue 10, Page(s) 2690–2699

    Abstract: A computational approach to classifying axillary lymph node metastasis in sonographic images is described. One hundred five ultrasound images of axillary lymph nodes from patients with breast cancer were evaluated (81 benign and 24 malignant), and each ... ...

    Abstract A computational approach to classifying axillary lymph node metastasis in sonographic images is described. One hundred five ultrasound images of axillary lymph nodes from patients with breast cancer were evaluated (81 benign and 24 malignant), and each lymph node was manually segmented, delineating both the whole lymph node and internal hilum surfaces. Normalized signed distance transforms were computed from the segmented boundaries of both structures, and each pixel was then assigned coordinates in a 3-D feature space according to the pixel's intensity, its signed distance to the node boundary and its signed distance to the hilum boundary. Three-dimensional histograms over the feature space were accumulated for each node by summing over all pixels, and the bin counts served as predictor inputs to a support vector machine learning algorithm. Repeated random sampling of 80/25 train/test splits was used to estimate generalization performance and generate receiver operating characteristic curves. The optimal classifier had an area under the receiver operating characteristic curve of 0.95 and sensitivity and specificity of 0.90 and 0.90. Our results indicate the feasibility of axillary nodal staging with computerized analysis.
    MeSH term(s) Algorithms ; Axilla ; Breast Neoplasms/diagnostic imaging ; Carcinoma/diagnostic imaging ; Carcinoma/secondary ; Female ; Humans ; Image Enhancement/methods ; Image Interpretation, Computer-Assisted/methods ; Imaging, Three-Dimensional/methods ; Lymph Nodes/diagnostic imaging ; Lymphatic Metastasis ; Pattern Recognition, Automated/methods ; Reproducibility of Results ; Sensitivity and Specificity ; Support Vector Machine ; Ultrasonography, Mammary/methods
    Language English
    Publishing date 2015-10
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 186150-5
    ISSN 1879-291X ; 0301-5629
    ISSN (online) 1879-291X
    ISSN 0301-5629
    DOI 10.1016/j.ultrasmedbio.2015.05.022
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article: A prospective pilot study of analysis of surgical margins of breast cancers using high-resolution sonography.

    Scaranelo, Anabel M / Moshonov, Hadas / Escallon, Jaime

    SpringerPlus

    2016  Volume 5, Page(s) 251

    Abstract: To investigate the role of high-resolution specimen sonography (SS) to determine the precise location of the targeted lesion in relation to the six surgical margins; the specimen digital radiography isocenter and the correlation with the rate of re- ... ...

    Abstract To investigate the role of high-resolution specimen sonography (SS) to determine the precise location of the targeted lesion in relation to the six surgical margins; the specimen digital radiography isocenter and the correlation with the rate of re-excision and residual tumour. Freshly excised surgical specimens were scanned by a breast radiologist using a high-frequency linear transducer in a cohort of 25 consecutive women undergoing breast conservation. Sonographic measurements of radial distances from all six margins (superior, inferior, lateral, medial, anterior and posterior) were obtained. Sonographic positive margin status was defined as targeted mass identified <5 mm from the tissue edge. The paired t test was used for statistical comparisons between sonographic and pathological measurements. The median cancer size was 15 mm (range 3.80-42 mm; 95 % CI 9.8-18) on sonography and 16 mm (range 2-60 mm; 95 % CI 15-20) on surgical pathology. SS showed 100 % sensitivity and 59 % specificity in the evaluation of surgical pathology margins. 20 % (5 of 25) patients had positive margins where 60 % were in situ carcinoma. The likelihood of carcinoma at the initial surgical margins was significantly higher in dense breasts (3/6 = 50 % vs 1/17 = 5.8 %; p = 0.04). The deviation of the isocenter of the specimens was found not significant. SS is a valuable tool for identify the cancer within the specimen, and better asses the margins. It is of significant importance in patients with dense breasts where specimen radiography is of limited value.
    Language English
    Publishing date 2016-03-01
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2661116-8
    ISSN 2193-1801
    ISSN 2193-1801
    DOI 10.1186/s40064-016-1921-2
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  10. Article ; Online: Choosing Wisely Canada and Diagnostic Imaging: What Level of Evidence Supports the Recommendations?

    Seely, Jean M / Appavoo, Shusheila / Wadden, Nancy / Loisel, Yves / Scaranelo, Anabel

    Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes

    2018  Volume 69, Issue 3, Page(s) 338–339

    MeSH term(s) Canada ; Humans ; Practice Patterns, Physicians' ; Unnecessary Procedures
    Language English
    Publishing date 2018-12-27
    Publishing country United States
    Document type Letter ; Comment
    ZDB-ID 2068691-2
    ISSN 1488-2361 ; 0846-5371
    ISSN (online) 1488-2361
    ISSN 0846-5371
    DOI 10.1016/j.carj.2018.05.001
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