1
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Vaz SC, Corion CLS, Goeman J, Zeillemaker AM, Hezemans R, de Geus-Oei LF, Pereira Arias-Bouda LM. Can Molecular Breast Imaging With Tc-99m Sestamibi Safely Rule Out Malignancy in Pathologic Nipple Discharge? Clin Nucl Med 2025:00003072-990000000-01693. [PMID: 40302123 DOI: 10.1097/rlu.0000000000005851] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2024] [Accepted: 02/18/2025] [Indexed: 05/01/2025]
Abstract
PURPOSE Nipple discharge is the third most common breast-related complaint. It is recommended to exclude malignancy in pathologic nipple discharge (PND). Mammography and ultrasound are the first-line conventional diagnostic (CD) imaging. Although magnetic resonance is often used as a complementary modality, molecular breast imaging (MBI) with Tc-99m sestamibi may be a suitable alternative. Considering the lack of information on this subject and its clinical importance, this study aimed to evaluate the role of MBI in ruling out malignancy in patients with PND and negative/indeterminate CD. PATIENTS AND METHODS Retrospective cohort single-center study including all patients with PND evaluated by CD and MBI between 2012 and 2020. Pathology was considered the gold standard. Follow-up was used when pathology was not available. RESULTS Of the 96 cases of PND included, 78 were benign, and 18 (20%) corresponded to breast cancer (BC). Although CD and MBI were concordant in the BIRADS classification in 81% (78/96), half of BC were detected by MBI only. BC was located directly behind the nipple in a minority of patients (11%), meaning that MBI could significantly prevent futile central ductal excision. MBI presented higher sensitivity (83% vs. 33%) and negative predictive value (96% vs. 86%) than CD alone, with similar specificity (89% vs. 92%) and positive predictive value (63% vs. 50%). The area under the curve of MBI and CD was 0,86 (P-value<0.001 [95% CI: 0.75-0.97]) and 0.63 (P-value=0.091 [95% CI: 0.47-0.79]), respectively. CONCLUSIONS MBI showed good diagnostic accuracy for detecting BC in patients with PND with negative/indeterminate findings on CD imaging.
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Affiliation(s)
- Sofia C Vaz
- Nuclear Medicine-Radiopharmacology, Champalimaud Clinical Center, Champalimaud Foundation, Lisbon, Portugal
- Department of Radiology, Leiden University Medical Center, Leiden
| | | | - Jelle Goeman
- Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden
| | | | - Rachel Hezemans
- Department of Nuclear Medicine, Alrijne Hospital, Leiderdorp
| | - Lioe-Fee de Geus-Oei
- Department of Radiology, Leiden University Medical Center, Leiden
- Biomedical Photonic Imaging Group, University of Twente, Enschede
- Department of Radiation Science & Technology, Delft University of Technology, Delft
| | - Lenka M Pereira Arias-Bouda
- Department of Radiology, Leiden University Medical Center, Leiden
- Department of Nuclear Medicine, Alrijne Hospital, Leiderdorp
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2
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Patel MM, Adrada BE, Guirguis MS, Whitman G, Moseley TW, Rauch GM. Current Concepts in Molecular Breast Imaging. JOURNAL OF BREAST IMAGING 2025; 7:104-118. [PMID: 39692400 PMCID: PMC11918265 DOI: 10.1093/jbi/wbae076] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Indexed: 12/19/2024]
Abstract
Molecular breast imaging (MBI) is a functional imaging modality that utilizes technetium 99m sestamibi radiotracer uptake to evaluate the biology of breast tumors. Molecular breast imaging can be a useful tool for supplemental screening of women with dense breasts, for breast cancer diagnosis and staging, and for evaluation of treatment response in patients with breast cancer undergoing neoadjuvant systemic therapy. In addition, MBI is useful in problem-solving when mammography and US imaging are insufficient to arrive at a definite diagnosis and for patients who cannot undergo breast MRI. Based on the BI-RADS lexicon, a standardized lexicon has been developed to aid radiologists in MBI reporting. In this article, we review MBI equipment, procedures, and lexicon; clinical indications for MBI; and the radiation dose associated with MBI.
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Affiliation(s)
- Miral M Patel
- Department of Breast Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Beatriz E Adrada
- Department of Breast Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Mary S Guirguis
- Department of Breast Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Gary Whitman
- Department of Breast Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Tanya W Moseley
- Department of Breast Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Breast Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Gaiane M Rauch
- Department of Breast Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Abdominal Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
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3
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Ko A, Vo AM, Miller N, Liang A, Baumbach M, Riley Argue J, Manche N, Gonzalez L, Austin N, Carver P, Procell J, Elzein H, Pan M, Zeidan N, Kasper W, Speer S, Liang Y, Pettus BJ. The Use of Breast-specific Gamma Imaging as a Low-Cost Problem-Solving Strategy for Avoiding Biopsies in Patients With Inconclusive Imaging Findings on Mammography and Ultrasonography. JOURNAL OF BREAST IMAGING 2024; 6:502-512. [PMID: 39162574 DOI: 10.1093/jbi/wbae040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2023] [Indexed: 08/21/2024]
Abstract
OBJECTIVE To evaluate the clinical performance and financial costs of breast-specific gamma imaging (BSGI) as a biopsy-reducing problem-solving strategy in patients with inconclusive diagnostic imaging findings. METHODS A retrospective analysis of all patients for whom BSGI was utilized for inconclusive imaging findings following complete diagnostic mammographic and sonographic evaluation between January 2013 and December 2018 was performed. Positive BSGI findings were correlated and biopsied with either US or stereotactic technique with confirmation by clip location and pathology. After a negative BSGI result, patients were followed for a minimum of 24 months or considered lost to follow-up and excluded (22 patients). Results of further imaging studies, biopsies, and pathology results were analyzed. Net savings of avoided biopsies were calculated based on average Medicare charges. RESULTS Four hundred and forty female patients from 30 to 95 years (mean 55 years) of age were included in our study. BSGI demonstrated a negative predictive value (NPV) of 98.4% (314/319) and a positive predictive value for biopsy of 35.5% (43/121). The overall sensitivity was 89.6% (43/48), and the specificity was 80.1% (314/392). In total, 78 false positive but only 5 false negative BSGI findings were identified. Six hundred and twenty-one inconclusive imaging findings were analyzed with BSGI and a total of 309 biopsies were avoided. Estimated net financial savings from avoided biopsies were $646 897. CONCLUSION In the management of patients with inconclusive imaging findings on mammography or ultrasonography, BSGI is a problem-solving imaging modality with high NPV that helps avoid costs of image-guided biopsies.
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Affiliation(s)
- Andrew Ko
- Department of Medical Education, Riverside Regional Medical Center, Newport News, VA, USA
| | - Alexander M Vo
- Department of Medical Education, Riverside Regional Medical Center, Newport News, VA, USA
- Department of Radiology, Santa Clara Valley Medical Center, San Jose, CA, USA
| | - Nathaniel Miller
- Department of Medical Education, Riverside Regional Medical Center, Newport News, VA, USA
| | - Annie Liang
- Brown University School of Public Health, Providence, RI, USA
| | - Maia Baumbach
- Department of Biomedical Engineering, Georgia Tech, Atlanta, GA, USA
| | - Jay Riley Argue
- Department of Medical Education, Riverside Regional Medical Center, Newport News, VA, USA
- Department of Radiology, University of Washington, Seattle, WA, USA
| | - Nathaniel Manche
- Department of Medical Education, Riverside Regional Medical Center, Newport News, VA, USA
- Department of Radiology, Medical University of South Carolina, Charleston, SC, USA
| | - Luis Gonzalez
- Department of Medical Education, Riverside Regional Medical Center, Newport News, VA, USA
- Department of Radiology, University of Florida, Gainesville, FL, USA
| | - Nicholas Austin
- Department of Medical Education, Riverside Regional Medical Center, Newport News, VA, USA
- Department of Radiology, Cleveland Clinic, Cleveland, OH, USA
| | - Philip Carver
- Department of Medical Education, Riverside Regional Medical Center, Newport News, VA, USA
- Department of Radiological Sciences, Drexel University, Philadelphia, PA, USA
| | - Joseph Procell
- Department of Medical Education, Riverside Regional Medical Center, Newport News, VA, USA
- Department of Imaging, University of Rochester, Rochester, NY, USA
| | - Hassan Elzein
- Department of Medical Education, Riverside Regional Medical Center, Newport News, VA, USA
- Department of Radiology, Virginia Commonwealth University, Richmond, VA, USA
| | - Margaret Pan
- Department of Medical Education, Riverside Regional Medical Center, Newport News, VA, USA
- Department of Radiology, Brigham and Women's Hospital, Boston, MA, USA
| | - Nadine Zeidan
- Department of Medical Education, Riverside Regional Medical Center, Newport News, VA, USA
- Department of Radiology, University of Texas Southwestern, Dallas, TX, USA
| | - William Kasper
- Department of Medical Education, Riverside Regional Medical Center, Newport News, VA, USA
- Department of Radiology, Temple University, Philadelphia, PA, USA
| | - Samuel Speer
- Department of Medical Education, Riverside Regional Medical Center, Newport News, VA, USA
- Department of Diagnostic Radiology, Oregon Health & Science University, Portland, OR, USA
| | - Yizhi Liang
- Peninsula Radiological Associates, Newport News, VA, USA
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4
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Fowler AM. Innovative Advances in Molecular Breast Imaging Biopsy. Radiol Imaging Cancer 2024; 6:e240135. [PMID: 38940692 PMCID: PMC11287228 DOI: 10.1148/rycan.240135] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2024] [Revised: 06/03/2024] [Accepted: 06/03/2024] [Indexed: 06/29/2024]
Affiliation(s)
- Amy M. Fowler
- From the Departments of Radiology and Medical Physics, University of Wisconsin School of Medicine and Public Health, 600 Highland Ave, Madison, WI 53792; and University of Wisconsin Carbone Cancer Center, Madison, Wis
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5
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Hunt KN, Conners AL, Gray L, Hruska CB, O’Connor MK. Molecular Breast Imaging Biopsy with a Dual-Detector System. Radiol Imaging Cancer 2024; 6:e230186. [PMID: 38847615 PMCID: PMC11287224 DOI: 10.1148/rycan.230186] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Revised: 03/27/2024] [Accepted: 04/25/2024] [Indexed: 06/13/2024]
Abstract
Purpose To develop a molecular breast imaging (MBI)-guided biopsy system using dual-detector MBI and to perform initial testing in participants. Materials and Methods The Stereo Navigator MBI Accessory biopsy system comprises a lower detector, upper fenestrated compression paddle, and upper detector. The upper detector retracts, allowing craniocaudal, oblique, or medial or lateral biopsy approaches. The compression paddle allows insertion of a needle guide and needle. Lesion depth is calculated by triangulation of lesion location on the upper detector at 0° and 15° and relative lesion activity on upper and lower detectors. In a prospective study (July 2022-June 2023), participants with Breast Imaging Reporting and Data System category 2, 3, 4, or 5 breast lesions underwent MBI-guided biopsy. After injection of 740 MBq technetium 99m sestamibi, craniocaudal and mediolateral oblique MBI (2-minute acquisition per view) confirmed lesion visualization. A region of interest over the lesion permitted depth calculation in the system software. Upper detector retraction allowed biopsy device placement. Specimen images were obtained on the retracted upper detector, confirming sampling of the target. Results Of 21 participants enrolled (mean age, 50.6 years ± 10.1 [SD]; 21 [100%] women), 17 underwent MBI-guided biopsy with concordant pathology. No lesion was observed at the time of biopsy in four participants. Average lesion size was 17 mm (range, 6-38 mm). Average procedure time, including preprocedure imaging, was 55 minutes ± 13 (range, 38-90 minutes). Pathology results included invasive ductal carcinoma (n = 1), fibroadenoma (n = 4), pseudoangiomatous stromal hyperplasia (n = 6), and fibrocystic changes (n = 6). Conclusion MBI-guided biopsy using a dual-head system with retractable upper detector head was feasible, well tolerated, and efficient. Keywords: Breast Biopsy, Molecular Breast Imaging, Image-guided Biopsy, Molecular Breast Imaging-guided Biopsy, Breast Cancer Clinical trial registration no. NCT06058650 © RSNA, 2024.
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Affiliation(s)
- Katie N. Hunt
- From the Department of Radiology, Mayo Clinic, 200 First St SW,
Rochester, MN 55905
| | - Amy Lynn Conners
- From the Department of Radiology, Mayo Clinic, 200 First St SW,
Rochester, MN 55905
| | - Lacey Gray
- From the Department of Radiology, Mayo Clinic, 200 First St SW,
Rochester, MN 55905
| | - Carrie B. Hruska
- From the Department of Radiology, Mayo Clinic, 200 First St SW,
Rochester, MN 55905
| | - Michael K. O’Connor
- From the Department of Radiology, Mayo Clinic, 200 First St SW,
Rochester, MN 55905
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6
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Freitas V, Li X, Scaranelo A, Au F, Kulkarni S, Ghai S, Taeb S, Bubon O, Baldassi B, Komarov B, Parker S, Macsemchuk CA, Waterston M, Olsen KO, Reznik A. Breast Cancer Detection Using a Low-Dose Positron Emission Digital Mammography System. Radiol Imaging Cancer 2024; 6:e230020. [PMID: 38334470 PMCID: PMC10988332 DOI: 10.1148/rycan.230020] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Revised: 10/16/2023] [Accepted: 10/17/2023] [Indexed: 02/10/2024]
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 (18F-FDG). Two breast radiologists, unaware of the cancer location, reviewed PEM images taken 1 and 4 hours following 18F-FDG injection. Findings were correlated with histopathologic results. Detection accuracy and participant details were examined using logistic regression and summary statistics, and a comparative analysis assessed the efficacy of PEM and MRI additional lesions detection (ClinicalTrials.gov: NCT03520218). Results Twenty-five female participants (median age, 52 years; range, 32-85 years) comprised the cohort. Twenty-four of 25 (96%) cancers (19 invasive cancers and five in situ diseases) were identified with PEM from 100 sets of bilateral images, showcasing comparable performance even after 3 hours of radiotracer uptake. The median invasive cancer size was 31 mm (range, 10-120). Three additional in situ grade 2 lesions were missed at PEM. While not significant, PEM detected fewer false-positive additional lesions compared with MRI (one of six [16%] vs eight of 13 [62%]; P = .14). Conclusion This study suggests the feasibility of a low-dose PEM system in helping to detect invasive breast cancer. Though large-scale clinical trials are essential to confirm these preliminary results, this study underscores the potential of this low-dose PEM system as a promising imaging tool in breast cancer diagnosis. ClinicalTrials.gov registration no. NCT03520218 Keywords: Positron Emission Digital Mammography, Invasive Breast Cancer, Oncology, MRI Supplemental material is available for this article. © RSNA, 2024 See also commentary by Barreto and Rapelyea in this issue.
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Affiliation(s)
- Vivianne Freitas
- From the Temerty Faculty of Medicine, Joint Department of Medical
Imaging, University Health Network, Sinai Health System, Women's College
Hospital, University of Toronto, 610 University Ave, Toronto, ON, Canada M5G 2M9
(V.F., A.S., F.A., S.K., S.G.); Department of Biostatistics, Princess Margaret
Cancer Centre, University Health Network, Toronto, Canada (X.L.); Thunder Bay
Regional Health Research Institute, Thunder Bay, Canada (S.T., O.B., A.R.);
Lakehead University, Thunder Bay, Canada (O.B., B.B., A.R.); Radialis Inc,
Thunder Bay, Canada (O.B., B.B., B.K., S.P., C.A.M., M.W., K.O.O.); Institute of
Biomedical Engineering, University of Toronto, Toronto, Canada (C.A.M.); and
Posluns Centre for Image-Guided Innovation and Therapeutic Intervention, The
Hospital for Sick Children, Toronto, Canada (C.A.M.)
| | - Xuan Li
- From the Temerty Faculty of Medicine, Joint Department of Medical
Imaging, University Health Network, Sinai Health System, Women's College
Hospital, University of Toronto, 610 University Ave, Toronto, ON, Canada M5G 2M9
(V.F., A.S., F.A., S.K., S.G.); Department of Biostatistics, Princess Margaret
Cancer Centre, University Health Network, Toronto, Canada (X.L.); Thunder Bay
Regional Health Research Institute, Thunder Bay, Canada (S.T., O.B., A.R.);
Lakehead University, Thunder Bay, Canada (O.B., B.B., A.R.); Radialis Inc,
Thunder Bay, Canada (O.B., B.B., B.K., S.P., C.A.M., M.W., K.O.O.); Institute of
Biomedical Engineering, University of Toronto, Toronto, Canada (C.A.M.); and
Posluns Centre for Image-Guided Innovation and Therapeutic Intervention, The
Hospital for Sick Children, Toronto, Canada (C.A.M.)
| | - Anabel Scaranelo
- From the Temerty Faculty of Medicine, Joint Department of Medical
Imaging, University Health Network, Sinai Health System, Women's College
Hospital, University of Toronto, 610 University Ave, Toronto, ON, Canada M5G 2M9
(V.F., A.S., F.A., S.K., S.G.); Department of Biostatistics, Princess Margaret
Cancer Centre, University Health Network, Toronto, Canada (X.L.); Thunder Bay
Regional Health Research Institute, Thunder Bay, Canada (S.T., O.B., A.R.);
Lakehead University, Thunder Bay, Canada (O.B., B.B., A.R.); Radialis Inc,
Thunder Bay, Canada (O.B., B.B., B.K., S.P., C.A.M., M.W., K.O.O.); Institute of
Biomedical Engineering, University of Toronto, Toronto, Canada (C.A.M.); and
Posluns Centre for Image-Guided Innovation and Therapeutic Intervention, The
Hospital for Sick Children, Toronto, Canada (C.A.M.)
| | - Frederick Au
- From the Temerty Faculty of Medicine, Joint Department of Medical
Imaging, University Health Network, Sinai Health System, Women's College
Hospital, University of Toronto, 610 University Ave, Toronto, ON, Canada M5G 2M9
(V.F., A.S., F.A., S.K., S.G.); Department of Biostatistics, Princess Margaret
Cancer Centre, University Health Network, Toronto, Canada (X.L.); Thunder Bay
Regional Health Research Institute, Thunder Bay, Canada (S.T., O.B., A.R.);
Lakehead University, Thunder Bay, Canada (O.B., B.B., A.R.); Radialis Inc,
Thunder Bay, Canada (O.B., B.B., B.K., S.P., C.A.M., M.W., K.O.O.); Institute of
Biomedical Engineering, University of Toronto, Toronto, Canada (C.A.M.); and
Posluns Centre for Image-Guided Innovation and Therapeutic Intervention, The
Hospital for Sick Children, Toronto, Canada (C.A.M.)
| | - Supriya Kulkarni
- From the Temerty Faculty of Medicine, Joint Department of Medical
Imaging, University Health Network, Sinai Health System, Women's College
Hospital, University of Toronto, 610 University Ave, Toronto, ON, Canada M5G 2M9
(V.F., A.S., F.A., S.K., S.G.); Department of Biostatistics, Princess Margaret
Cancer Centre, University Health Network, Toronto, Canada (X.L.); Thunder Bay
Regional Health Research Institute, Thunder Bay, Canada (S.T., O.B., A.R.);
Lakehead University, Thunder Bay, Canada (O.B., B.B., A.R.); Radialis Inc,
Thunder Bay, Canada (O.B., B.B., B.K., S.P., C.A.M., M.W., K.O.O.); Institute of
Biomedical Engineering, University of Toronto, Toronto, Canada (C.A.M.); and
Posluns Centre for Image-Guided Innovation and Therapeutic Intervention, The
Hospital for Sick Children, Toronto, Canada (C.A.M.)
| | - Sandeep Ghai
- From the Temerty Faculty of Medicine, Joint Department of Medical
Imaging, University Health Network, Sinai Health System, Women's College
Hospital, University of Toronto, 610 University Ave, Toronto, ON, Canada M5G 2M9
(V.F., A.S., F.A., S.K., S.G.); Department of Biostatistics, Princess Margaret
Cancer Centre, University Health Network, Toronto, Canada (X.L.); Thunder Bay
Regional Health Research Institute, Thunder Bay, Canada (S.T., O.B., A.R.);
Lakehead University, Thunder Bay, Canada (O.B., B.B., A.R.); Radialis Inc,
Thunder Bay, Canada (O.B., B.B., B.K., S.P., C.A.M., M.W., K.O.O.); Institute of
Biomedical Engineering, University of Toronto, Toronto, Canada (C.A.M.); and
Posluns Centre for Image-Guided Innovation and Therapeutic Intervention, The
Hospital for Sick Children, Toronto, Canada (C.A.M.)
| | - Samira Taeb
- From the Temerty Faculty of Medicine, Joint Department of Medical
Imaging, University Health Network, Sinai Health System, Women's College
Hospital, University of Toronto, 610 University Ave, Toronto, ON, Canada M5G 2M9
(V.F., A.S., F.A., S.K., S.G.); Department of Biostatistics, Princess Margaret
Cancer Centre, University Health Network, Toronto, Canada (X.L.); Thunder Bay
Regional Health Research Institute, Thunder Bay, Canada (S.T., O.B., A.R.);
Lakehead University, Thunder Bay, Canada (O.B., B.B., A.R.); Radialis Inc,
Thunder Bay, Canada (O.B., B.B., B.K., S.P., C.A.M., M.W., K.O.O.); Institute of
Biomedical Engineering, University of Toronto, Toronto, Canada (C.A.M.); and
Posluns Centre for Image-Guided Innovation and Therapeutic Intervention, The
Hospital for Sick Children, Toronto, Canada (C.A.M.)
| | - Oleksandr Bubon
- From the Temerty Faculty of Medicine, Joint Department of Medical
Imaging, University Health Network, Sinai Health System, Women's College
Hospital, University of Toronto, 610 University Ave, Toronto, ON, Canada M5G 2M9
(V.F., A.S., F.A., S.K., S.G.); Department of Biostatistics, Princess Margaret
Cancer Centre, University Health Network, Toronto, Canada (X.L.); Thunder Bay
Regional Health Research Institute, Thunder Bay, Canada (S.T., O.B., A.R.);
Lakehead University, Thunder Bay, Canada (O.B., B.B., A.R.); Radialis Inc,
Thunder Bay, Canada (O.B., B.B., B.K., S.P., C.A.M., M.W., K.O.O.); Institute of
Biomedical Engineering, University of Toronto, Toronto, Canada (C.A.M.); and
Posluns Centre for Image-Guided Innovation and Therapeutic Intervention, The
Hospital for Sick Children, Toronto, Canada (C.A.M.)
| | - Brandon Baldassi
- From the Temerty Faculty of Medicine, Joint Department of Medical
Imaging, University Health Network, Sinai Health System, Women's College
Hospital, University of Toronto, 610 University Ave, Toronto, ON, Canada M5G 2M9
(V.F., A.S., F.A., S.K., S.G.); Department of Biostatistics, Princess Margaret
Cancer Centre, University Health Network, Toronto, Canada (X.L.); Thunder Bay
Regional Health Research Institute, Thunder Bay, Canada (S.T., O.B., A.R.);
Lakehead University, Thunder Bay, Canada (O.B., B.B., A.R.); Radialis Inc,
Thunder Bay, Canada (O.B., B.B., B.K., S.P., C.A.M., M.W., K.O.O.); Institute of
Biomedical Engineering, University of Toronto, Toronto, Canada (C.A.M.); and
Posluns Centre for Image-Guided Innovation and Therapeutic Intervention, The
Hospital for Sick Children, Toronto, Canada (C.A.M.)
| | - Borys Komarov
- From the Temerty Faculty of Medicine, Joint Department of Medical
Imaging, University Health Network, Sinai Health System, Women's College
Hospital, University of Toronto, 610 University Ave, Toronto, ON, Canada M5G 2M9
(V.F., A.S., F.A., S.K., S.G.); Department of Biostatistics, Princess Margaret
Cancer Centre, University Health Network, Toronto, Canada (X.L.); Thunder Bay
Regional Health Research Institute, Thunder Bay, Canada (S.T., O.B., A.R.);
Lakehead University, Thunder Bay, Canada (O.B., B.B., A.R.); Radialis Inc,
Thunder Bay, Canada (O.B., B.B., B.K., S.P., C.A.M., M.W., K.O.O.); Institute of
Biomedical Engineering, University of Toronto, Toronto, Canada (C.A.M.); and
Posluns Centre for Image-Guided Innovation and Therapeutic Intervention, The
Hospital for Sick Children, Toronto, Canada (C.A.M.)
| | - Shayna Parker
- From the Temerty Faculty of Medicine, Joint Department of Medical
Imaging, University Health Network, Sinai Health System, Women's College
Hospital, University of Toronto, 610 University Ave, Toronto, ON, Canada M5G 2M9
(V.F., A.S., F.A., S.K., S.G.); Department of Biostatistics, Princess Margaret
Cancer Centre, University Health Network, Toronto, Canada (X.L.); Thunder Bay
Regional Health Research Institute, Thunder Bay, Canada (S.T., O.B., A.R.);
Lakehead University, Thunder Bay, Canada (O.B., B.B., A.R.); Radialis Inc,
Thunder Bay, Canada (O.B., B.B., B.K., S.P., C.A.M., M.W., K.O.O.); Institute of
Biomedical Engineering, University of Toronto, Toronto, Canada (C.A.M.); and
Posluns Centre for Image-Guided Innovation and Therapeutic Intervention, The
Hospital for Sick Children, Toronto, Canada (C.A.M.)
| | - Craig A. Macsemchuk
- From the Temerty Faculty of Medicine, Joint Department of Medical
Imaging, University Health Network, Sinai Health System, Women's College
Hospital, University of Toronto, 610 University Ave, Toronto, ON, Canada M5G 2M9
(V.F., A.S., F.A., S.K., S.G.); Department of Biostatistics, Princess Margaret
Cancer Centre, University Health Network, Toronto, Canada (X.L.); Thunder Bay
Regional Health Research Institute, Thunder Bay, Canada (S.T., O.B., A.R.);
Lakehead University, Thunder Bay, Canada (O.B., B.B., A.R.); Radialis Inc,
Thunder Bay, Canada (O.B., B.B., B.K., S.P., C.A.M., M.W., K.O.O.); Institute of
Biomedical Engineering, University of Toronto, Toronto, Canada (C.A.M.); and
Posluns Centre for Image-Guided Innovation and Therapeutic Intervention, The
Hospital for Sick Children, Toronto, Canada (C.A.M.)
| | - Michael Waterston
- From the Temerty Faculty of Medicine, Joint Department of Medical
Imaging, University Health Network, Sinai Health System, Women's College
Hospital, University of Toronto, 610 University Ave, Toronto, ON, Canada M5G 2M9
(V.F., A.S., F.A., S.K., S.G.); Department of Biostatistics, Princess Margaret
Cancer Centre, University Health Network, Toronto, Canada (X.L.); Thunder Bay
Regional Health Research Institute, Thunder Bay, Canada (S.T., O.B., A.R.);
Lakehead University, Thunder Bay, Canada (O.B., B.B., A.R.); Radialis Inc,
Thunder Bay, Canada (O.B., B.B., B.K., S.P., C.A.M., M.W., K.O.O.); Institute of
Biomedical Engineering, University of Toronto, Toronto, Canada (C.A.M.); and
Posluns Centre for Image-Guided Innovation and Therapeutic Intervention, The
Hospital for Sick Children, Toronto, Canada (C.A.M.)
| | - Kenneth O. Olsen
- From the Temerty Faculty of Medicine, Joint Department of Medical
Imaging, University Health Network, Sinai Health System, Women's College
Hospital, University of Toronto, 610 University Ave, Toronto, ON, Canada M5G 2M9
(V.F., A.S., F.A., S.K., S.G.); Department of Biostatistics, Princess Margaret
Cancer Centre, University Health Network, Toronto, Canada (X.L.); Thunder Bay
Regional Health Research Institute, Thunder Bay, Canada (S.T., O.B., A.R.);
Lakehead University, Thunder Bay, Canada (O.B., B.B., A.R.); Radialis Inc,
Thunder Bay, Canada (O.B., B.B., B.K., S.P., C.A.M., M.W., K.O.O.); Institute of
Biomedical Engineering, University of Toronto, Toronto, Canada (C.A.M.); and
Posluns Centre for Image-Guided Innovation and Therapeutic Intervention, The
Hospital for Sick Children, Toronto, Canada (C.A.M.)
| | - Alla Reznik
- From the Temerty Faculty of Medicine, Joint Department of Medical
Imaging, University Health Network, Sinai Health System, Women's College
Hospital, University of Toronto, 610 University Ave, Toronto, ON, Canada M5G 2M9
(V.F., A.S., F.A., S.K., S.G.); Department of Biostatistics, Princess Margaret
Cancer Centre, University Health Network, Toronto, Canada (X.L.); Thunder Bay
Regional Health Research Institute, Thunder Bay, Canada (S.T., O.B., A.R.);
Lakehead University, Thunder Bay, Canada (O.B., B.B., A.R.); Radialis Inc,
Thunder Bay, Canada (O.B., B.B., B.K., S.P., C.A.M., M.W., K.O.O.); Institute of
Biomedical Engineering, University of Toronto, Toronto, Canada (C.A.M.); and
Posluns Centre for Image-Guided Innovation and Therapeutic Intervention, The
Hospital for Sick Children, Toronto, Canada (C.A.M.)
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7
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van Loevezijn AA, Corion CL, Zeillemaker AM, Wijers LM, Smithuis RH, Valdés Olmos RA, van der Hage JA, de Geus-Oei LF, Benard M, Pereira Arias-Bouda LM. Clinical impact of molecular breast imaging as adjunct diagnostic modality in evaluation of indeterminate breast abnormalities and unresolved diagnostic concerns. Nucl Med Commun 2023; 44:417-426. [PMID: 36897051 PMCID: PMC10171295 DOI: 10.1097/mnm.0000000000001684] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Accepted: 02/24/2023] [Indexed: 03/11/2023]
Abstract
PURPOSE Improvements in molecular breast imaging (MBI) have increased the use of MBI as adjunct diagnostic modality and alternative to MRI. We aimed to assess the value of MBI in patients with equivocal breast lesions on conventional imaging, especially in terms of its ability to rule out malignancy. METHODS We selected patients who underwent MBI in addition to conventional diagnostics due to equivocal breast lesions between 2012 and 2015. All patients underwent digital mammography, target ultrasound and MBI. MBI was performed using a single-head Dilon 6800 gamma camera after administration of 600 MBq 99m Tc-sestamibi. Imaging was reported according to BI-RADS classification and compared with pathology or follow-up of ≥6 months. RESULTS Of 226 women included, pathology was obtained in 106 (47%) and (pre)malignant lesions were found in 25 (11%). Median follow-up was 5.4 years (IQR 3.9-7.1). Sensitivity was higher for MBI compared to conventional diagnostics (84% vs. 32%; P = 0.002), identifying malignancy in 21 and 6 patients, respectively, but specificity did not differ (86% vs. 81%; P = 0.161). Positive and negative predictive value were 43% and 98% for MBI and 17% and 91% for conventional diagnostics. MBI was discordant with conventional diagnostics in 68 (30%) patients and correctly changed diagnosis in 46 (20%) patients, identifying 15 malignant lesions. In subgroups with nipple discharge ( N = 42) and BI-RADS 3 lesions ( N = 113) MBI detected 7 of 8 occult malignancies. CONCLUSION MBI correctly adjusted treatment in 20% of patients with diagnostic concerns after conventional work-up, and could rule out malignancy with a high negative predictive value of 98%.
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Affiliation(s)
- Ariane A. van Loevezijn
- Department of Surgical Oncology, Netherlands Cancer Institute – Antoni van Leeuwenhoek, Amsterdam
| | | | | | | | | | | | | | - Lioe-Fee de Geus-Oei
- Department of Radiology, Section of Nuclear Medicine
- Biomedical Photonic Imaging Group, University of Twente, Enschede
| | - Menno Benard
- Department of Research and Education, Alrijne Hospital
| | - Lenka M. Pereira Arias-Bouda
- Department of Radiology, Section of Nuclear Medicine
- Department of Nuclear Medicine, Alrijne hospital, Leiderdorp, The Netherlands
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8
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Smith KA, Hunt KN, Rauch GM, Fowler AM. Molecular Breast Imaging in the Screening Setting. JOURNAL OF BREAST IMAGING 2023; 5:240-247. [PMID: 38416886 DOI: 10.1093/jbi/wbad011] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Indexed: 03/01/2024]
Abstract
Early detection of breast cancer through screening mammography saves lives. However, the sensitivity of mammography for breast cancer detection is reduced in women with dense breast tissue. Imaging modalities for supplemental breast cancer screening include MRI, whole breast US, contrast-enhanced mammography, and molecular breast imaging (MBI). Molecular breast imaging with 99mTc-sestamibi is a functional imaging test to identify metabolically active areas in the breast with positioning analogous to mammography. Since 2011, there have been six large, published studies of screening MBI as a supplement to mammography involving over 6000 women from four different institutions. A multicenter, prospective clinical trial of 3000 women comparing breast cancer detection using screening digital breast tomosynthesis alone or in combination with MBI recently completed enrollment. This review focuses on the current evidence of MBI use for supplemental breast cancer screening, the strengths and limitations of MBI, and recent technological advances.
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Affiliation(s)
| | - Katie N Hunt
- Mayo Clinic, Department of Radiology, Rochester, MN, USA
| | - Gaiane M Rauch
- The University of Texas MD Anderson Cancer Center, Department of Breast Imaging, Houston, TX, USA
- The University of Texas MD Anderson Cancer Center, Department of Abdominal Imaging, Houston, TX, USA
| | - Amy M Fowler
- University of Wisconsin School of Medicine and Public Health, Department of Radiology, Madison, WI, USA
- University of Wisconsin Carbone Cancer Center, Madison, WI, USA
- University of Wisconsin School of Medicine and Public Health, Department of Medical Physics, Madison, WI, USA
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9
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Downstream imaging following abnormal molecular breast imaging, lessons learned and suggestions for success. Clin Imaging 2022; 92:44-51. [DOI: 10.1016/j.clinimag.2022.09.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Revised: 09/16/2022] [Accepted: 09/21/2022] [Indexed: 11/23/2022]
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10
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Schoenberger H, Chong N, Fetzer DT, Rich NE, Yokoo T, Khatri G, Olivares J, Parikh ND, Yopp AC, Marrero JA, Singal AG. Dynamic Changes in Ultrasound Quality for Hepatocellular Carcinoma Screening in Patients With Cirrhosis. Clin Gastroenterol Hepatol 2022; 20:1561-1569.e4. [PMID: 34119640 PMCID: PMC8660956 DOI: 10.1016/j.cgh.2021.06.012] [Citation(s) in RCA: 75] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/22/2021] [Revised: 05/24/2021] [Accepted: 06/08/2021] [Indexed: 02/06/2023]
Abstract
BACKGROUND & AIMS Identifying patients in whom ultrasound may be inadequate to exclude the presence of hepatocellular carcinoma (HCC) can inform interventions to improve screening effectiveness. We aimed to characterize correlates of suboptimal ultrasound quality and changes in ultrasound quality over time in patients with cirrhosis undergoing HCC screening. METHODS We performed a retrospective cohort study of patients with cirrhosis who underwent ultrasound examination at 2 large health systems between July 2016 and July 2019. Exam adequacy was graded by radiologists using the LI-RADS Visualization Score (A, B, C); we evaluated changes in visualization over time among patients with >1 ultrasound exams. We performed multivariable logistic regression to identify characteristics associated with limited ultrasound visualization (scores B or C). RESULTS Of 2053 cirrhosis patients, 1685 (82.1%) had ultrasounds with score A, 262 (12.8%) had score B, and 106 (5.2%) had score C. Limited visualization was associated with alcohol-related or nonalcoholic fatty liver disease cirrhosis and presence of class II-III obesity. Among 1546 patients with >1 ultrasounds, 1129 (73.0%) had the same visualization score on follow-up (1046 score A, 60 score B, 23 score C). However, 255 (19.6%) of 1301 with score A at baseline had limited visualization when repeated (230 score B, 25 score C), and 130 (53.1%) of 245 patients with baseline limited visualization had good visualization when repeated. CONCLUSIONS Nearly 1 in 5 patients with cirrhosis had moderately-severely limited ultrasound visualization for HCC nodules, particularly those with obesity or alcohol-related or nonalcoholic fatty liver disease cirrhosis. Ultrasound quality can change between exams, including improvement in many patients with limited visualization.
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Affiliation(s)
- Haley Schoenberger
- Department of Internal Medicine, UT Southwestern Medical Center, Dallas, Texas; Parkland Health & Hospital System, Dallas, Texas
| | - Nicolas Chong
- Department of Internal Medicine, UT Southwestern Medical Center, Dallas, Texas; Parkland Health & Hospital System, Dallas, Texas
| | - David T Fetzer
- Department of Radiology, UT Southwestern Medical Center, Dallas, Texas
| | - Nicole E Rich
- Department of Internal Medicine, UT Southwestern Medical Center, Dallas, Texas; Parkland Health & Hospital System, Dallas, Texas
| | - Takeshi Yokoo
- Department of Radiology, UT Southwestern Medical Center, Dallas, Texas
| | - Gaurav Khatri
- Department of Radiology, UT Southwestern Medical Center, Dallas, Texas
| | - Jocelyn Olivares
- Department of Internal Medicine, UT Southwestern Medical Center, Dallas, Texas
| | - Neehar D Parikh
- Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan
| | - Adam C Yopp
- Department of Surgery, UT Southwestern Medical Center, Dallas, Texas
| | - Jorge A Marrero
- Department of Internal Medicine, UT Southwestern Medical Center, Dallas, Texas
| | - Amit G Singal
- Department of Internal Medicine, UT Southwestern Medical Center, Dallas, Texas; Parkland Health & Hospital System, Dallas, Texas.
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11
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Hruska CB, Corion C, de Geus-Oei LF, Adrada BE, Fowler AM, Hunt KN, Kappadath SC, Pilkington P, Pereira Arias-Bouda LM, Rauch GM. SNMMI Procedure Standard/EANM Practice Guideline for Molecular Breast Imaging with Dedicated γ-Cameras. J Nucl Med Technol 2022; 50:103-110. [PMID: 40168518 DOI: 10.2967/jnmt.121.264204] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Accepted: 03/29/2022] [Indexed: 11/16/2022] Open
Affiliation(s)
| | - Christinne Corion
- Department of Surgery, Haaglanden Medical Center, The Hague, Netherlands
- Department of Radiology, Leiden University Medical Center, Leiden, Netherlands
| | - Lioe-Fee de Geus-Oei
- Department of Radiology, Leiden University Medical Center, Leiden, Netherlands
- Biomedical Photonic Imaging Group, University of Twente, Enschede, Netherlands
| | - Beatriz E Adrada
- Department of Breast Imaging, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Amy M Fowler
- Department of Radiology, University of Wisconsin, Madison, Wisconsin
- Department of Medical Physics, University of Wisconsin, Madison, Wisconsin
- University of Wisconsin Carbone Cancer Center, Madison, Wisconsin
| | - Katie N Hunt
- Department of Radiology, Mayo Clinic, Rochester, Minnesota
| | - S Cheenu Kappadath
- Department of Medical Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Patrick Pilkington
- Department of Nuclear Medicine, University Hospital 12 de Octubre, Madrid, Spain
| | - Lenka M Pereira Arias-Bouda
- Department of Radiology, Leiden University Medical Center, Leiden, Netherlands
- Department of Nuclear Medicine, Alrijne Hospital, Leiderdorp, Netherlands
| | - Gaiane M Rauch
- Department of Radiology, Leiden University Medical Center, Leiden, Netherlands
- Biomedical Photonic Imaging Group, University of Twente, Enschede, Netherlands
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12
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Covington MF, Parent EE, Dibble EH, Rauch GM, Fowler AM. Advances and Future Directions in Molecular Breast Imaging. J Nucl Med 2022; 63:17-21. [PMID: 34887334 PMCID: PMC8717200 DOI: 10.2967/jnumed.121.261988] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Revised: 11/16/2021] [Indexed: 12/11/2022] Open
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.
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Affiliation(s)
- Matthew F Covington
- Center for Quantitative Cancer Imaging, Huntsman Cancer Institute and University of Utah Department of Radiology and Imaging Sciences, Salt Lake City, Utah;
| | | | - Elizabeth H Dibble
- Warren Alpert Medical School of Brown University/Rhode Island Hospital Department of Diagnostic Imaging, Providence, Rhode Island
| | - Gaiane M Rauch
- M.D. Anderson Cancer Center, Departments of Abdominal and Breast Imaging, Houston, Texas; and
| | - Amy M Fowler
- University of Wisconsin School of Medicine and Public Health, Departments of Radiology and Medical Physics and the University of Wisconsin Carbone Cancer Center, Madison, Wisconsin
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13
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Hruska CB. Updates in Molecular Breast Imaging. Semin Roentgenol 2021; 57:134-138. [PMID: 35523526 PMCID: PMC9077005 DOI: 10.1053/j.ro.2021.12.006] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Accepted: 12/24/2021] [Indexed: 12/27/2022]
Abstract
Molecular breast imaging (MBI) is a nuclear medicine study performed with dedicated gamma camera systems optimized to image the uptake of Tc-99m sestamibi in the breast. MBI provides a relatively low-cost and simple functional breast imaging method that can identify breast cancers obscured by dense fibroglandular tissue on mammography. Recent studies have also found that background levels of uptake in benign dense tissue may provide breast cancer risk information. This article discusses the latest updates in MBI technology, recent evidence supporting its clinical use, and work in progress that may aid in wider adoption of MBI.
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14
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Vegunta S, Kling JM, Patel BK. Supplemental Cancer Screening for Women With Dense Breasts: Guidance for Health Care Professionals. Mayo Clin Proc 2021; 96:2891-2904. [PMID: 34686363 DOI: 10.1016/j.mayocp.2021.06.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2020] [Revised: 05/20/2021] [Accepted: 06/08/2021] [Indexed: 11/16/2022]
Abstract
Mammography is the standard for breast cancer screening. The sensitivity of mammography in identifying breast cancer, however, is reduced for women with dense breasts. Thirty-eight states have passed laws requiring that all women be notified of breast tissue density results in their mammogram report. The notification includes a statement that differs by state, encouraging women to discuss supplemental screening options with their health care professionals (HCPs). Several supplemental screening tests are available for women with dense breast tissue, but no established guidelines exist to direct HCPs in their recommendation of preferred supplemental screening test. Tailored screening, which takes into consideration the patient's mammographic breast density and lifetime breast cancer risk, can guide breast cancer screening strategies that are more comprehensive. This review describes the benefits and limitations of the various available supplemental screening tests to guide HCPs and patients in choosing the appropriate breast cancer screening.
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Affiliation(s)
- Suneela Vegunta
- Division of Women's Health Internal Medicine, Mayo Clinic, Scottsdale, AZ.
| | - Juliana M Kling
- Division of Women's Health Internal Medicine, Mayo Clinic, Scottsdale, AZ
| | - Bhavika K Patel
- Division of Breast Imaging, Mayo Clinic Hospital, Phoenix, AZ
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15
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Davey MG, Davey MS, Ryan ÉJ, Boland MR, McAnena PF, Lowery AJ, Kerin MJ. Is radiomic MRI a feasible alternative to OncotypeDX® recurrence score testing? A systematic review and meta-analysis. BJS Open 2021; 5:6388195. [PMID: 34633438 PMCID: PMC8504445 DOI: 10.1093/bjsopen/zrab081] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Accepted: 08/03/2021] [Indexed: 12/27/2022] Open
Abstract
BACKGROUND OncotypeDX® recurrence score (RS) aids therapeutic decision-making in oestrogen-receptor-positive (ER+) breast cancer. Radiomics is an evolving field that aims to examine the relationship between radiological features and the underlying genomic landscape of disease processes. The aim of this study was to perform a systematic review of current evidence evaluating the comparability of radiomics and RS. METHODS A systematic review was performed as per PRISMA guidelines. Studies comparing radiomic MRI tumour analyses and RS were identified. Sensitivity, specificity and area under curve (AUC) delineating low risk (RS less than 18) versus intermediate-high risk (equal to or greater than 18) and low-intermediate risk (RS less than 30) and high risk (RS greater than 30) were recorded. Log rate ratios (lnRR) and standard error were determined from AUC and 95 per cent confidence intervals. RESULTS Nine studies including 1216 patients met inclusion criteria; the mean age at diagnosis was 52.9 years. Mean RS was 16 (range 0-75); 401 patients with RS less than 18, 287 patients with RS 18-30 and 100 patients with RS greater than 30. Radiomic analysis and RS were comparable for differentiating RS less than 18 versus RS 18 or greater (RR 0.93 (95 per cent c.i. 0.85 to 1.01); P = 0.010, heterogeneity (I2)=0%) as well as RS less than 30 versus RS 30 or greater (RR 0.76 (95 per cent c.i. 0.70 to 0.83); P < 0.001, I2=0%). MRI sensitivity and specificity for RS less than 18 versus 18 or greater was 0.89 (95 per cent c.i. 0.85 to 0.93) and 0.72 (95 per cent c.i. 0.66 to 0.78) respectively, and 0.79 (95 per cent c.i. 0.72 to 0.86) and 0.74 (95 per cent c.i. 0.68 to 0.80) for RS less than 30 versus 30 or greater. CONCLUSION Radiomic tumour analysis is comparable to RS in differentiating patients into clinically relevant subgroups. For patients requiring MRI, radiomics may complement and enhance RS for prognostication and therapeutic decision making in ER+ breast cancer.
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Affiliation(s)
- M G Davey
- Department of Surgery, The Lambe Institute for Translational Research, National University of Ireland, Galway, Ireland
| | - M S Davey
- Department of Surgery, The Lambe Institute for Translational Research, National University of Ireland, Galway, Ireland
| | - É J Ryan
- Department of Surgery, The Lambe Institute for Translational Research, National University of Ireland, Galway, Ireland
| | - M R Boland
- Department of Surgery, The Lambe Institute for Translational Research, National University of Ireland, Galway, Ireland
| | - P F McAnena
- Department of Surgery, The Lambe Institute for Translational Research, National University of Ireland, Galway, Ireland
| | - A J Lowery
- Department of Surgery, The Lambe Institute for Translational Research, National University of Ireland, Galway, Ireland
| | - M J Kerin
- Department of Surgery, The Lambe Institute for Translational Research, National University of Ireland, Galway, Ireland
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16
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Hunt KN. Molecular Breast Imaging: A Scientific Review. JOURNAL OF BREAST IMAGING 2021; 3:416-426. [PMID: 38424795 DOI: 10.1093/jbi/wbab039] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2020] [Indexed: 03/02/2024]
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.
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Affiliation(s)
- Katie N Hunt
- Mayo Clinic, Department of Radiology, Rochester, MN, USA
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17
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Hruska CB, Geske JR, Conners AL, Whaley DH, Rhodes DJ, O’Connor MK, Carter RE, Scott CG, Vachon CM. Background Parenchymal Uptake on Molecular Breast Imaging and Breast Cancer Risk: A Cohort Study. AJR Am J Roentgenol 2021; 216:1193-1204. [PMID: 32755210 PMCID: PMC8640999 DOI: 10.2214/ajr.20.23854] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
BACKGROUND. Background parenchymal uptake (BPU) on molecular breast imaging (MBI) was identified in a case-control study as a breast cancer risk factor beyond mammographic density. To our knowledge, this finding has not yet been confirmed in a cohort study. OBJECTIVE. The objectives of this study were to examine the association of BPU with breast cancer and to estimate the absolute risk and discriminatory accuracy of BPU in a cohort study. METHODS. A retrospective cohort was established that included women without a history of breast cancer who underwent MBI from 2004 to 2015. Radiologists who were blinded to future breast cancer diagnoses assessed BPU on baseline MBI examinations as low (photopenic or minimal) or elevated (mild, moderate, or marked). Associations of BPU with breast cancer were estimated using multivariable Cox proportional hazards models of the time to diagnosis. The 5-year absolute risk was calculated for study subgroups. The discriminatory accuracy of BPU was also assessed. RESULTS. Among 2992 women (mean age, 56.3 years; SD, 10.6 years) who underwent MBI, breast cancer events occurred in 144 women (median follow-up, 7.3 years). Median time to diagnosis after MBI was 4.2 years (range, 0.5-11.6 years). Elevated BPU was associated with a greater breast cancer risk (hazard ratio [HR], 2.39; 95% CI, 1.68-3.41; p ≤ .001). This association remained in postmenopausal women (HR, 3.50; 95% CI, 2.31-5.31; p < .001) but was not significant in premenopausal women (HR, 1.29; 95% CI, 0.72-2.32; p = .39). The 5-year absolute risk of breast cancer was 4.3% (95% CI, 2.9-5.7%) for women with elevated BPU versus 2.5% (95% CI, 1.8-3.1%) for those with low BPU. Postmenopausal women with dense breasts and elevated BPU had a 5-year absolute risk of 8.1% (95% CI, 4.3-11.8%) versus 2.8% (1.8-3.8%) for those with low BPU. Among postmenopausal women, discriminatory accuracy for invasive cancer was improved with the addition of BPU versus use of the Gail risk score alone (C statistic, 65.1 vs 59.1; p = .04) or use of the Breast Cancer Surveillance Consortium risk score alone (C statistic, 66.4 vs 60.4; p = .04). CONCLUSION. BPU on MBI is an independent risk factor for breast cancer, with the strongest association observed among postmenopausal women with dense breasts. In postmenopausal women, BPU provides incremental discrimination in predicting breast cancer when combined with either the Gail model or the Breast Cancer Surveillance Consortium model. CLINICAL IMPACT. Observation of elevated BPU on MBI may identify a subset of women with dense breasts who would benefit most from supplemental screening or preventive options.
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Affiliation(s)
- Carrie B. Hruska
- Department of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN 55905
| | - Jennifer R. Geske
- Department of Health Sciences Research, Mayo Clinic, 200 First Street SW, Rochester, MN 55905
| | - Amy Lynn Conners
- Department of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN 55905
| | - Dana H. Whaley
- Department of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN 55905
| | - Deborah J. Rhodes
- Department of Medicine, Mayo Clinic, 200 First Street SW, Rochester, MN 55905 and Yale New Haven Health System, 20 York Street T-114, New Haven, CT 06510
| | - Michael K. O’Connor
- Department of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN 55905
| | - Rickey E. Carter
- Department of Health Sciences Research, 4500 San Pablo Road, Mayo Clinic, Jacksonville, FL 32224
| | - Christopher G. Scott
- Department of Health Sciences Research, Mayo Clinic, 200 First Street SW, Rochester, MN 55905
| | - Celine M. Vachon
- Department of Health Sciences Research, Mayo Clinic, 200 First Street SW, Rochester, MN 55905
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18
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Huang S, Houssami N, Brennan M, Nickel B. The impact of mandatory mammographic breast density notification on supplemental screening practice in the United States: a systematic review. Breast Cancer Res Treat 2021; 187:11-30. [PMID: 33774734 DOI: 10.1007/s10549-021-06203-w] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2020] [Accepted: 03/17/2021] [Indexed: 11/26/2022]
Abstract
PURPOSE Dense breast tissue is an independent risk factor for breast cancer and lowers the sensitivity of screening mammography. Supplemental screening with ultrasound or MRI improves breast cancer detection rate but has potential harms. Breast density notification (BDN) legislation has been introduced in the United States (US) and its impact on supplemental screening practice is unclear. This study systematically reviewed current evidence to explore the impact of BDN on supplemental screening practice in the US. METHODS Medline, PubMed, Embase, Cochrane and the Cinhal Library databases were searched (2009-August 2020). Studies were assessed for eligibility, data were extracted and summarised, and study quality was evaluated. RESULTS Evidence from the included studies (n = 14) predominantly showed that BDN legislation increased the overall utilisation of supplemental screening by 0.5-143%. This effect was amplified if the notification included a follow-up telephone call informing women about additional screening benefits, and if the state's law mandated insurance cover for supplemental screening. Likelihood of supplemental screening was also influenced by history of breast biopsy and family history of breast cancer, race, age, socioeconomic status, density category, and physician's specialty and region. Some studies reported increases in biopsy rate (up to 4%) and cancer detection rate (up to 11%) after implementation of BDN legislation. CONCLUSION BDN leads to increased use of supplemental screening. This has implications for women and the health system. These findings can help inform current and future screening programs, where breast density notification is currently implemented or being considered.
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Affiliation(s)
- Shuangqin Huang
- Sydney School of Public Health, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
| | - Nehmat Houssami
- Sydney School of Public Health, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
| | - Meagan Brennan
- School of Medicine Sydney, University of Notre Dame Australia, Oxford St, Darlinghurst, NSW, Australia.
- Westmead Clinical School, Sydney Medical School, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.
| | - Brooke Nickel
- Sydney School of Public Health, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
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19
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Adrada BE, Moseley T, Kappadath SC, Whitman GJ, Rauch GM. Molecular Breast Imaging-guided Percutaneous Biopsy of Breast Lesions: A New Frontier on Breast Intervention. JOURNAL OF BREAST IMAGING 2020; 2:484-491. [PMID: 33015619 DOI: 10.1093/jbi/wbaa057] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2020] [Indexed: 01/29/2023]
Abstract
Molecular breast imaging (MBI) is an increasingly recognized nuclear medicine imaging modality to detect breast lesions suspicious for malignancy. Recent advances have allowed the development of tissue sampling of MBI-detected lesions using a single-headed camera (breast-specific gamma imaging system) or a dual-headed camera system (MBI system). In this article, we will review current indications of MBI, differences of the two single- and dual-headed camera systems, the appropriate selection of biopsy equipment, billing considerations, and radiation safety. It will also include practical considerations and guidance on how to integrate MBI and MBI-guided biopsy in the current breast imaging workflow.
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Affiliation(s)
- Beatriz E Adrada
- The University of Texas MD Anderson Cancer Center, Department of Diagnostic Radiology, Houston, TX
| | - Tanya Moseley
- The University of Texas MD Anderson Cancer Center, Department of Diagnostic Radiology, Houston, TX
| | - S Cheenu Kappadath
- The University of Texas MD Anderson Cancer Center, Department of Imaging Physics, Houston, TX
| | - Gary J Whitman
- The University of Texas MD Anderson Cancer Center, Department of Diagnostic Radiology, Houston, TX
| | - Gaiane M Rauch
- The University of Texas MD Anderson Cancer Center, Department of Diagnostic Radiology, Houston, TX
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20
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Trends of Supplemental Screening in Women With Dense Breasts. J Am Coll Radiol 2020; 17:990-998. [DOI: 10.1016/j.jacr.2019.12.031] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2019] [Revised: 12/09/2019] [Accepted: 12/09/2019] [Indexed: 01/17/2023]
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21
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Hruska CB. Let's Get Real about Molecular Breast Imaging and Radiation Risk. Radiol Imaging Cancer 2019; 1:e190070. [PMID: 33779637 PMCID: PMC7983654 DOI: 10.1148/rycan.2019190070] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2019] [Accepted: 08/16/2019] [Indexed: 11/11/2022]
Affiliation(s)
- Carrie B. Hruska
- From the Department of Radiology, Mayo Clinic, 200 First St SW, Rochester, MN 55905
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22
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Lee TC, Reyna C, Shaughnessy E, Lewis JD. Screening of populations at high risk for breast cancer. J Surg Oncol 2019; 120:820-830. [DOI: 10.1002/jso.25611] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2019] [Accepted: 06/09/2019] [Indexed: 11/09/2022]
Affiliation(s)
- Tiffany C. Lee
- Department of SurgerySchool of MedicineUniversity of CincinnatiCincinnati Ohio
| | - Chantal Reyna
- Department of SurgerySchool of MedicineUniversity of CincinnatiCincinnati Ohio
| | | | - Jaime D. Lewis
- Department of SurgerySchool of MedicineUniversity of CincinnatiCincinnati Ohio
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23
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Covington MF, Young CA, Appleton CM. American College of Radiology Accreditation, Performance Metrics, Reimbursement, and Economic Considerations in Breast MR Imaging. Magn Reson Imaging Clin N Am 2018; 26:303-314. [PMID: 29622136 DOI: 10.1016/j.mric.2017.12.004] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
Accreditation through the American College of Radiology (ACR) Breast Magnetic Resonance Imaging Accreditation Program is necessary to qualify for reimbursement from Medicare and many private insurers and provides facilities with peer review on image acquisition and clinical quality. Adherence to ACR quality control and technical practice parameter guidelines for breast MR imaging and performance of a medical outcomes audit program will maintain high-quality imaging and facilitate accreditation. Economic factors likely to influence the practice of breast MR imaging include cost-effectiveness, competition with lower-cost breast-imaging modalities, and price transparency, all of which may lower the cost of MR imaging and allow for greater utilization.
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Affiliation(s)
- Matthew F Covington
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 South Kingshighway Boulevard, Saint Louis, MO 63110, USA
| | - Catherine A Young
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 South Kingshighway Boulevard, Saint Louis, MO 63110, USA
| | - Catherine M Appleton
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 South Kingshighway Boulevard, Saint Louis, MO 63110, USA.
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24
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Which type of breast cancers is undetectable on ring-type dedicated breast PET? Clin Imaging 2018; 51:186-191. [DOI: 10.1016/j.clinimag.2018.05.010] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2018] [Revised: 05/04/2018] [Accepted: 05/21/2018] [Indexed: 01/24/2023]
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25
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Choi EK, Im JJ, Park CS, Chung YA, Kim K, Oh JK. Usefulness of feature analysis of breast-specific gamma imaging for predicting malignancy. Eur Radiol 2018; 28:5195-5202. [DOI: 10.1007/s00330-018-5563-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2017] [Revised: 04/30/2018] [Accepted: 05/24/2018] [Indexed: 10/14/2022]
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26
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Huppe AI, Mehta AK, Brem RF. Molecular Breast Imaging: A Comprehensive Review. Semin Ultrasound CT MR 2018; 39:60-69. [DOI: 10.1053/j.sult.2017.10.001] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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27
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Shermis RB, Redfern RE, Burns J, Kudrolli H. Molecular Breast Imaging in Breast Cancer Screening and Problem Solving. Radiographics 2017; 37:1309-1606. [PMID: 28898193 DOI: 10.1148/rg.2017160204] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
In the United States, legislative actions in over 28 states require radiologists to notify women who undergo breast screening mammography of their breast density. This has led to increased public interest in supplemental screening, but radiologists have not come to a consensus on a supplemental screening modality. In choosing between the most common options, whole-breast ultrasonography (US) and magnetic resonance (MR) imaging, one must weigh the benefits and drawbacks of each modality, as increased cancer detection may be accompanied by increased examination costs and biopsy rates. There has been recent interest in molecular breast imaging (MBI) for supplemental screening because of its high sensitivity, as well as its high specificity. This article describes how MBI fits into clinical practice alongside digital breast tomosynthesis (DBT), targeted US, and MR imaging. The authors describe their approach to breast cancer screening, which uses DBT as the primary imaging modality. DBT is complemented by automated density calculations and supplemented with functional imaging techniques, including MR imaging or MBI, for women with dense breasts. An algorithm based on the patient's breast cancer risk is used to determine if either MR imaging or MBI for supplemental screening is appropriate. MBI is also used as a problem-solving tool for the evaluation of clinical indications following complex mammography or US, or for unexplained physical findings. This article describes aspects related to implementing MBI in clinical practice, including the clinical workflow, patient management, radioactive tracer administration, and procedure reimbursement. © RSNA, 2017.
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Affiliation(s)
- Robin B Shermis
- From ProMedica Breast Care Center, ProMedica Toledo Hospital, 2121 Hughes Dr, 1st Floor, Toledo, OH 43606 (R.B.S.); ProMedica Research, ProMedica Health System, Toledo, Ohio (R.E.R.); Department of Surgery, University of Toledo Medical Center, Toledo, Ohio (J.B.); and Gamma Medica, Salem, NH (H.K.)
| | - Roberta E Redfern
- From ProMedica Breast Care Center, ProMedica Toledo Hospital, 2121 Hughes Dr, 1st Floor, Toledo, OH 43606 (R.B.S.); ProMedica Research, ProMedica Health System, Toledo, Ohio (R.E.R.); Department of Surgery, University of Toledo Medical Center, Toledo, Ohio (J.B.); and Gamma Medica, Salem, NH (H.K.)
| | - Jessica Burns
- From ProMedica Breast Care Center, ProMedica Toledo Hospital, 2121 Hughes Dr, 1st Floor, Toledo, OH 43606 (R.B.S.); ProMedica Research, ProMedica Health System, Toledo, Ohio (R.E.R.); Department of Surgery, University of Toledo Medical Center, Toledo, Ohio (J.B.); and Gamma Medica, Salem, NH (H.K.)
| | - Haris Kudrolli
- From ProMedica Breast Care Center, ProMedica Toledo Hospital, 2121 Hughes Dr, 1st Floor, Toledo, OH 43606 (R.B.S.); ProMedica Research, ProMedica Health System, Toledo, Ohio (R.E.R.); Department of Surgery, University of Toledo Medical Center, Toledo, Ohio (J.B.); and Gamma Medica, Salem, NH (H.K.)
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O'Connor MK, Morrow MM, Tran T, Hruska CB, Conners AL, Hunt KN. Technical Note: Development of a combined molecular breast imaging/ultrasound system for diagnostic evaluation of MBI-detected lesions. Med Phys 2017; 44:451-459. [PMID: 28133745 DOI: 10.1002/mp.12043] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2016] [Revised: 10/31/2016] [Accepted: 11/15/2016] [Indexed: 11/10/2022] Open
Abstract
PURPOSE The purpose of this study was to perform a pilot evaluation of an integrated molecular breast imaging/ultrasound (MBI/US) system designed to enable, in real-time, the registration of US to MBI and diagnostic evaluation of breast lesions detected on MBI. METHODS The MBI/US system was constructed by modifying an existing dual-head cadmium zinc telluride (CZT)-based MBI gamma camera. The upper MBI detector head was replaced with a mesh panel, which allowed an ultrasound probe to access the breast. An optical tracking system was used to monitor the location of the ultrasound transducer, referenced to the MBI detector. The lesion depth at which ultrasound was targeted was estimated from analysis of previously acquired dual-head MBI datasets. A software tool was developed to project the US field of view onto the current MBI image. Correlation of lesion location between both modalities with real-time MBI/US scanning was confirmed in a breast phantom model and assessed in 12 patients with a breast lesion detected on MBI. RESULTS Combined MBI/US scanning allowed for registration of lesions detected on US and MBI as validated in phantom experiments. In patient studies, successful registration was achieved in 8 of 12 (67%) patients, with complete registration achieved in seven and partial registration achieved in one patient. In 4 of 12 (37%) patients, lesion registration was not achieved, partially attributed to uncertainty in lesion depth estimates from MBI. CONCLUSION The MBI/US system enabled successful registration of US to MBI in over half of patients studied in this pilot evaluation. Future studies are needed to determine if real-time, registered US imaging of MBI-detected lesions may obviate the need to proceed to more expensive procedures such as contrast-enhanced breast MRI for diagnostic workup or biopsy of MBI findings.
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Affiliation(s)
| | | | - Thuy Tran
- Department of Radiology, Mayo Clinic, Rochester, MN, USA
| | | | - Amy L Conners
- Department of Radiology, Mayo Clinic, Rochester, MN, USA
| | - Katie N Hunt
- Department of Radiology, Mayo Clinic, Rochester, MN, USA
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Mammographic Breast Density and Breast Cancer Risk: Implications of the Breast Density Legislation for Health Care Practitioners. Clin Obstet Gynecol 2017; 59:419-38. [PMID: 26992182 DOI: 10.1097/grf.0000000000000192] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
Breast density has emerged as a critical phenotypic marker of increased breast cancer risk. The breast density legislation, passed in multiple states, requires patient notification of the implications of the breast density on breast cancer risk and screening. Supplemental screening may be suggested in the state regulation; however, there are limited data to guide conversations with patients. This article will review the current state of supplemental screening in women with dense breasts and discuss theories of the mechanism of action. Guidance is provided to assist in shared decision making and appropriate patient counseling.
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30
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Molecular Breast Imaging for Screening in Dense Breasts: State of the Art and Future Directions. AJR Am J Roentgenol 2016; 208:275-283. [PMID: 27762607 DOI: 10.2214/ajr.16.17131] [Citation(s) in RCA: 48] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
OBJECTIVE The purposes of this review are to discuss the motivation for supplemental screening, to address molecular breast imaging (MBI) radiation dose concerns, and to provide an updated guide to current MBI technology, clinical protocols, and screening performance. Future directions of MBI are also discussed. CONCLUSION MBI offers detection of mammographically occult cancers in women with dense breasts. Although MBI has been under investigation for nearly 15 years, it has yet to gain widespread adoption in breast screening.
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Supplemental Breast Cancer Screening With Molecular Breast Imaging for Women With Dense Breast Tissue. AJR Am J Roentgenol 2016; 207:450-7. [DOI: 10.2214/ajr.15.15924] [Citation(s) in RCA: 59] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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32
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Hruska CB, O'Connor MK. Curies, and Grays, and Sieverts, Oh My: A Guide for Discussing Radiation Dose and Risk of Molecular Breast Imaging. J Am Coll Radiol 2016; 12:1103-5. [PMID: 26435124 DOI: 10.1016/j.jacr.2015.07.001] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2015] [Accepted: 07/07/2015] [Indexed: 11/25/2022]
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Abstract
Breast-dedicated radionuclide imaging systems show promise for increasing clinical sensitivity for breast cancer while minimizing patient dose and cost. We present several breast-dedicated coincidence-photon and single-photon camera designs that have been described in the literature and examine their intrinsic performance, clinical relevance, and impact. Recent tracer development is mentioned, results from recent clinical tests are summarized, and potential areas for improvement are highlighted.
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Affiliation(s)
- David F C Hsu
- Department of Electrical Engineering, Stanford University, Stanford, California; and
| | - David L Freese
- Department of Electrical Engineering, Stanford University, Stanford, California; and
| | - Craig S Levin
- Department of Electrical Engineering, Stanford University, Stanford, California; and Departments of Radiology, Bioengineering, and Physics, Stanford University, Stanford, California
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Hruska CB, Scott CG, Conners AL, Whaley DH, Rhodes DJ, Carter RE, O’Connor MK, Hunt KN, Brandt KR, Vachon CM. Background parenchymal uptake on molecular breast imaging as a breast cancer risk factor: a case-control study. Breast Cancer Res 2016; 18:42. [PMID: 27113363 PMCID: PMC4845425 DOI: 10.1186/s13058-016-0704-6] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2015] [Accepted: 04/13/2016] [Indexed: 02/02/2023] Open
Abstract
BACKGROUND Molecular breast imaging (MBI) is a functional test used for supplemental screening of women with mammographically dense breasts. Additionally, MBI depicts variable levels of background parenchymal uptake (BPU) within nonmalignant, dense fibroglandular tissue. We investigated whether BPU is a risk factor for breast cancer. METHODS We conducted a retrospective case-control study of 3027 eligible women who had undergone MBI between February 2004 and February 2014. Sixty-two incident breast cancer cases were identified. A total of 179 controls were matched on age, menopausal status, and MBI year. Two radiologists blinded to case status independently assessed BPU as one of four categories: photopenic, minimal to mild, moderate, or marked. Conditional logistic regression analysis was performed to estimate the associations (OR) of BPU categories (moderate or marked vs. minimal to mild or photopenic) and breast cancer risk, adjusted for other risk factors. RESULTS The median age was 60.2 years (range 38-86 years) for cases vs. 60.2 years (range 38-88 years) for controls (p = 0.88). Women with moderate or marked BPU had a 3.4-fold (95 % CI 1.6-7.3) and 4.8-fold (95 % CI 2.1-10.8) increased risk of breast cancer, respectively, compared with women with photopenic or minimal to mild BPU, for two radiologists. The results were similar after adjustment for BI-RADS density (OR 3.3 [95 % CI 1.6-7.2] and OR 4.6 [95 % CI 2.1-10.5]) or postmenopausal hormone use (OR 3.6 [95 % CI 1.7-7.7] and OR 5.0 [95 % CI 2.2-11.4]). The association of BPU with breast cancer remained in analyses limited to postmenopausal women only (OR 3.8 [95 % CI 1.5-9.3] and OR 4.1 [95 % CI 1.6-10.2]) and invasive breast cancer cases only (OR 3.6 [95 % CI 1.5-8.8] and OR 4.4 [95 % CI 1.7-11.1]). Variable BPU was observed among women with similar mammographic density; the distribution of BPU categories differed across density categories (p < 0.0001). CONCLUSIONS This study provides the first evidence for BPU as a risk factor for breast cancer. Among women with dense breasts, who comprise >40 % of the screening population, BPU may serve as a functional imaging biomarker to identify the subset at greatest risk.
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Affiliation(s)
- Carrie B. Hruska
- />Department of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN 55905 USA
| | - Christopher G. Scott
- />Department of Health Sciences Research, Mayo Clinic, 200 First Street SW, Rochester, MN 55905 USA
| | - Amy Lynn Conners
- />Department of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN 55905 USA
| | - Dana H. Whaley
- />Department of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN 55905 USA
| | - Deborah J. Rhodes
- />Department of Medicine, Mayo Clinic, 200 First Street SW, Rochester, MN 55905 USA
| | - Rickey E. Carter
- />Department of Health Sciences Research, Mayo Clinic, 200 First Street SW, Rochester, MN 55905 USA
| | - Michael K. O’Connor
- />Department of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN 55905 USA
| | - Katie N. Hunt
- />Department of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN 55905 USA
| | - Kathleen R. Brandt
- />Department of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN 55905 USA
| | - Celine M. Vachon
- />Department of Health Sciences Research, Mayo Clinic, 200 First Street SW, Rochester, MN 55905 USA
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35
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Berg WA. Nuclear Breast Imaging: Clinical Results and Future Directions. J Nucl Med 2016; 57 Suppl 1:46S-52S. [DOI: 10.2967/jnumed.115.157891] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
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