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Literature DB >> 34887334

Advances and Future Directions in Molecular Breast Imaging.

Matthew F Covington¹, Ephraim E Parent², Elizabeth H Dibble³, Gaiane M Rauch⁴, Amy M Fowler⁵.

Abstract

Molecular breast imaging (MBI) using 99mTc-sestamibi has advanced rapidly over the past decade. Technical advances allow lower-dose, higher-resolution imaging and biopsy capability. MBI can be used for supplemental breast cancer screening with mammography for women with dense breasts, as well as to assess neoadjuvant therapy response, evaluate disease extent, and predict breast cancer risk. This article highlights the current state of the art and future directions in MBI.

Entities: Chemical

Keywords: MBI; breast specific γ-imaging; molecular breast imaging; nuclear breast imaging; sestamibi

Mesh：
Breast

Year: 2021 PMID： 34887334 PMCID： PMC8717200 DOI： 10.2967/jnumed.121.261988

Source DB: PubMed Journal: J Nucl Med ISSN： 0161-5505 Impact factor: 11.082

45 in total

1. Lexicon for standardized interpretation of gamma camera molecular breast imaging: observer agreement and diagnostic accuracy.

Authors: Amy Lynn Conners; Carrie B Hruska; Cindy L Tortorelli; Robert W Maxwell; Deborah J Rhodes; Judy C Boughey; Wendie A Berg
Journal: Eur J Nucl Med Mol Imaging Date: 2012-06 Impact factor: 9.236

2. The Association of Background Parenchymal Enhancement at Breast MRI with Breast Cancer: A Systematic Review and Meta-Analysis.

Authors: Christopher M Thompson; Indika Mallawaarachchi; Durgesh K Dwivedi; Anoop P Ayyappan; Navkiran K Shokar; Rajkumar Lakshmanaswamy; Alok K Dwivedi
Journal: Radiology Date: 2019-06-25 Impact factor: 11.105

3. Gamma Imaging-Guided Minimally Invasive Breast Biopsy: Initial Clinical Experience.

Authors: Rachel F Brem; Anita K Mehta; Jocelyn A Rapelyea; Esma A Akin; Adriana M Bazoberry; Christel D Velasco
Journal: AJR Am J Roentgenol Date: 2018-01-11 Impact factor: 3.959

4. Effect of menstrual cycle phase on background parenchymal uptake at molecular breast imaging.

Authors: Carrie B Hruska; Amy Lynn Conners; Celine M Vachon; Michael K O'Connor; Lynne T Shuster; Adam C Bartley; Deborah J Rhodes
Journal: Acad Radiol Date: 2015-06-22 Impact factor: 3.173

5. The Clinical Utility of a Negative Result at Molecular Breast Imaging: Initial Proof of Concept.

Authors: Ravi Jain; Deanna R Katz; Amber D Kapoor
Journal: Radiol Imaging Cancer Date: 2020-09-25

6. Reasons for (non)participation in supplemental population-based MRI breast screening for women with extremely dense breasts.

Authors: S V de Lange; M F Bakker; E M Monninkhof; P H M Peeters; P K de Koekkoek-Doll; R M Mann; M J C M Rutten; R H C Bisschops; J Veltman; K M Duvivier; M B I Lobbes; H J de Koning; N Karssemeijer; R M Pijnappel; W B Veldhuis; C H van Gils
Journal: Clin Radiol Date: 2018-06-18 Impact factor: 2.350

Advances and Future Directions in Molecular Breast Imaging.

1. Lexicon for standardized interpretation of gamma camera molecular breast imaging: observer agreement and diagnostic accuracy.

2. The Association of Background Parenchymal Enhancement at Breast MRI with Breast Cancer: A Systematic Review and Meta-Analysis.

3. Gamma Imaging-Guided Minimally Invasive Breast Biopsy: Initial Clinical Experience.

4. Effect of menstrual cycle phase on background parenchymal uptake at molecular breast imaging.

5. The Clinical Utility of a Negative Result at Molecular Breast Imaging: Initial Proof of Concept.

6. Reasons for (non)participation in supplemental population-based MRI breast screening for women with extremely dense breasts.

7. Integrin scintimammography using a dedicated breast imaging, solid-state gamma-camera and (99m)Tc-labelled NC100692.

8. Background Parenchymal Uptake on Molecular Breast Imaging and Breast Cancer Risk: A Cohort Study.

9. Prevalence of mammographically dense breasts in the United States.

10. Background parenchymal uptake on molecular breast imaging as a breast cancer risk factor: a case-control study.

Review 1. PET-CT in Clinical Adult Oncology: II. Primary Thoracic and Breast Malignancies.

Review 2. Applying artificial intelligence technology to assist with breast cancer diagnosis and prognosis prediction.