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Lee EJ, Chang YW, Lee EH, Cha JG, Kim SY, Choi N, Paek M, Darwish O. Image quality and diagnostic performance of deep learning reconstruction for diffusion- weighted imaging in 3 T breast MRI. Eur J Radiol 2025; 185:111997. [PMID: 39970544 DOI: 10.1016/j.ejrad.2025.111997] [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: 08/20/2024] [Revised: 02/05/2025] [Accepted: 02/10/2025] [Indexed: 02/21/2025]
Abstract
PURPOSE This study aimed to assess the image quality and the diagnostic value of deep learning reconstruction (DLR) for diffusion-weighted imaging (DWI) compared with conventional single-shot echo-planar imaging (ss-EPI) in 3 T breast MRI. METHODS Between January and July 2023, this single-center prospective study involved patients who underwent both clinical breast MRI and additional DWIs including accelerated (fast DLR) and high-resolution (HR DLR) for the research purpose. Two radiologists independently evaluated image quality, including fat suppression homogeneity, image blurring, artifacts, and lesion conspicuity. The optimal cutoff value of the ADC value was determined based on a separate dataset comprising 98 breast lesions in 81 patients from a previous retrospective study. ADC values from 62 breast lesions (55 malignant, 7 benign) in 50 patients were analyzed to compare diagnostic performance across three DWI datasets. RESULTS The study cohort included 50 patients (median age, 55.3 years). Fast DLR and HR DLR showed significantly better image quality compared to ss-EPI (P < 0.05), with no significant difference between two DLR methods (P > 0.05). DLR protocols consistently outperform ss-EPI for reducing artifacts across all lesion types and lesion size (P < 0.05). Mean ADC values measured in the phantom and clinical images were not significantly different across DWI protocols (P > 0.05). No significant difference in the diagnostic performance with the AUC of 0.846 in ss-EPI, 0.828 in fast DLR and 0.855 in HR DLR (P > 0.05). Fast DLR showed a significantly lower standard deviation of ADC values compared to ss-EPI in malignant, mass-type lesions and those smaller than 2 cm (P < 0.05). CONCLUSIONS DLR DWI in 3T breast MRI improves image quality in both accelerated and high-resolution acquisition settings without compromising diagnostic performance. The use of DLR in DWI of breast MRI could enhance the efficiency and versatility of imaging protocols, offering significant clinical value.
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Affiliation(s)
- Eun Ji Lee
- Department of Radiology, Soonchunhyang University Seoul Hospital, 59 Daesakwan-ro, Yongsan-ku, Seoul 04401 Korea
| | - Yun-Woo Chang
- Department of Radiology, Soonchunhyang University Seoul Hospital, 59 Daesakwan-ro, Yongsan-ku, Seoul 04401 Korea.
| | - Eun Hye Lee
- Department of Radiology, Soonchunhyang University Bucheon Hospital, Bucheon-si, Gyeonggi-do, Republic of Korea
| | - Jang Gyu Cha
- Department of Radiology, Soonchunhyang University Bucheon Hospital, Bucheon-si, Gyeonggi-do, Republic of Korea
| | - Shin Young Kim
- Department of Radiology, Soonchunhyang University Cheonan Hospital, Cheonan 31151, Republic of Korea
| | - Nami Choi
- Department of Radiology, Konkuk University Medical Center, Konkuk University School of Medicine, 4-12 Hwayang-dong, Gwangjin-gu, Seoul 05030, Republic of Korea
| | | | - Omar Darwish
- MR Applications Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany
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2
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Valente S, Roesch E. Breast cancer survivorship. J Surg Oncol 2024; 130:8-15. [PMID: 38534002 DOI: 10.1002/jso.27627] [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: 02/20/2024] [Accepted: 03/11/2024] [Indexed: 03/28/2024]
Abstract
Breast cancer survivorship care transitions from active treatment to focus on surveillance and health maintenance. This review article discusses the crucial aspects of breast cancer survivorship, which include cancer surveillance, management of treatment side effects, implementation of a healthy lifestyle, and psychosocial support.
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Affiliation(s)
| | - Erin Roesch
- Hematology/Medical Oncology, Cleveland Clinic, Cleveland, Ohio, USA
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3
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Hamel C, Avard B, Flegg C, Freitas V, Hapgood C, Kulkarni S, Lenkov P, Seidler M. Canadian Association of Radiologists Breast Disease Imaging Referral Guideline. Can Assoc Radiol J 2024; 75:287-295. [PMID: 37724018 DOI: 10.1177/08465371231192391] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/20/2023] Open
Abstract
The Canadian Association of Radiologists (CAR) Breast Disease Expert Panel consists of breast imaging radiologists, a high-risk breast clinician, a patient advisor, and an epidemiologist/guideline methodologist. After developing a list of 20 clinical/diagnostic scenarios, a systematic rapid scoping review was undertaken to identify systematically produced referral guidelines that provide recommendations for one or more of these clinical/diagnostic scenarios. Recommendations from 30 guidelines and contextualization criteria in the Grading of Recommendations, Assessment, Development and Evaluations (GRADE) for guidelines framework were used to develop 69 recommendation statements across the 20 scenarios. This guideline presents the methods of development and the recommendations for referring asymptomatic individuals, symptomatic patients, and other scenarios requiring imaging of the breast.
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Affiliation(s)
- Candyce Hamel
- Canadian Association of Radiologists, Ottawa, ON, Canada
| | - Barb Avard
- North York General Hospital, Toronto, ON, Canada
| | - Carolyn Flegg
- Irene and Les Dubé Breast Health Centre, Saskatoon City Hospital, Saskatoon, SK, Canada
| | | | | | | | - Pam Lenkov
- Women's College Hospital, Breast Clinic and Sunnybrook Hospital, Odette Cancer Centre, Toronto, ON, Canada
| | - Matthew Seidler
- Centre hospitalier de l'Université de Montréal, Montréal, QC, Canada
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Hubbard RA, Pujol TA, Alhajjar E, Edoh K, Martin ML. Sources of Disparities in Surveillance Mammography Performance and Risk-Guided Recommendations for Supplemental Breast Imaging: A Simulation Study. Cancer Epidemiol Biomarkers Prev 2023; 32:1531-1541. [PMID: 37351916 PMCID: PMC10750297 DOI: 10.1158/1055-9965.epi-23-0330] [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: 04/01/2023] [Revised: 05/22/2023] [Accepted: 06/21/2023] [Indexed: 06/24/2023] Open
Abstract
BACKGROUND Surveillance mammography is recommended for all women with a history of breast cancer. Risk-guided surveillance incorporating advanced imaging modalities based on individual risk of a second cancer could improve cancer detection. However, personalized surveillance may also amplify disparities. METHODS In simulated populations using inputs from the Breast Cancer Surveillance Consortium (BCSC), we investigated race- and ethnicity-based disparities. Disparities were decomposed into those due to primary breast cancer and treatment characteristics, social determinants of health (SDOH) and differential error in second cancer ascertainment by modeling populations with or without variation across race and ethnicity in the distribution of these characteristics. We estimated effects of disparities on mammography performance and supplemental imaging recommendations stratified by race and ethnicity. RESULTS In simulated cohorts based on 65,446 BCSC surveillance mammograms, when only cancer characteristics varied by race and ethnicity, mammograms for Black women had lower sensitivity compared with the overall population (64.1% vs. 71.1%). Differences between Black women and the overall population were larger when both cancer characteristics and SDOH varied by race and ethnicity (53.8% vs. 71.1%). Basing supplemental imaging recommendations on high predicted second cancer risk resulted in less frequent recommendations for Hispanic (6.7%) and Asian/Pacific Islander women (6.4%) compared with the overall population (10.0%). CONCLUSIONS Variation in cancer characteristics and SDOH led to disparities in surveillance mammography performance and recommendations for supplemental imaging. IMPACT Risk-guided surveillance imaging may exacerbate disparities. Decision-makers should consider implications for equity in cancer outcomes resulting from implementing risk-guided screening programs. See related In the Spotlight, p. 1479.
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Affiliation(s)
- Rebecca A. Hubbard
- Department of Biostatistics, Epidemiology & Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | | | - Elie Alhajjar
- Department of Mathematical Sciences, United States Military Academy, West Point, NY
| | - Kossi Edoh
- Department of Mathematics, North Carolina Agricultural & Technical State University, Greensboro, NC
| | - Melissa L. Martin
- Department of Biostatistics, Epidemiology & Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
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5
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Lowry KP, Ichikawa L, Hubbard RA, Buist DSM, Bowles EJA, Henderson LM, Kerlikowske K, Specht JM, Sprague BL, Wernli KJ, Lee JM. Variation in second breast cancer risk after primary invasive cancer by time since primary cancer diagnosis and estrogen receptor status. Cancer 2023; 129:1173-1182. [PMID: 36789739 PMCID: PMC10409444 DOI: 10.1002/cncr.34679] [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: 06/13/2022] [Revised: 11/01/2022] [Accepted: 12/30/2022] [Indexed: 02/16/2023]
Abstract
BACKGROUND In women with previously treated breast cancer, occurrence and timing of second breast cancers have implications for surveillance. The authors examined the timing of second breast cancers by primary cancer estrogen receptor (ER) status in the Breast Cancer Surveillance Consortium. METHODS Women who were diagnosed with American Joint Commission on Cancer stage I-III breast cancer were identified within six Breast Cancer Surveillance Consortium registries from 2000 to 2017. Characteristics collected at primary breast cancer diagnosis included demographics, ER status, and treatment. Second breast cancer events included subsequent ipsilateral or contralateral breast cancers diagnosed >6 months after primary diagnosis. The authors examined cumulative incidence and second breast cancer rates by primary cancer ER status during 1-5 versus 6-10 years after diagnosis. RESULTS At 10 years, the cumulative second breast cancer incidence was 11.8% (95% confidence interval [CI], 10.7%-13.1%) for women with ER-negative disease and 7.5% (95% CI, 7.0%-8.0%) for those with ER-positive disease. Women with ER-negative cancer had higher second breast cancer rates than those with ER-positive cancer during the first 5 years of follow-up (16.0 per 1000 person-years [PY]; 95% CI, 14.2-17.9 per 1000 PY; vs. 7.8 per 1000 PY; 95% CI, 7.3-8.4 per 1000 PY, respectively). After 5 years, second breast cancer rates were similar for women with ER-negative versus ER-positive breast cancer (12.1 per 1000 PY; 95% CI, 9.9-14.7; vs. 9.3 per 1000 PY; 95% CI, 8.4-10.3 per 1000 PY, respectively). CONCLUSIONS ER-negative primary breast cancers are associated with a higher risk of second breast cancers than ER-positive cancers during the first 5 years after diagnosis. Further study is needed to examine the potential benefit of more intensive surveillance targeting these women in the early postdiagnosis period.
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Affiliation(s)
- Kathryn P. Lowry
- Department of Radiology, University of Washington, Fred Hutchinson Cancer Center, Seattle, Washington, USA
| | - Laura Ichikawa
- Kaiser Permanente Washington, Kaiser Permanente Washington Health Research Institute, Seattle, Washington, USA
| | - Rebecca A. Hubbard
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Diana S. M. Buist
- Kaiser Permanente Washington, Kaiser Permanente Washington Health Research Institute, Seattle, Washington, USA
| | - Erin J. A. Bowles
- Kaiser Permanente Washington, Kaiser Permanente Washington Health Research Institute, Seattle, Washington, USA
| | - Louise M. Henderson
- Department of Radiology, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, North Carolina, USA
| | - Karla Kerlikowske
- Departments of Medicine and Epidemiology and Biostatistics, University of California, San Francisco, California, USA
| | - Jennifer M. Specht
- Division of Medical Oncology, Department of Medicine, University of Washington, Seattle Cancer Care Alliance, Seattle, Washington, USA
| | - Brian L. Sprague
- University of Vermont Cancer Center, University of Vermont Larner College of Medicine, Burlington, Vermont, USA
- Office of Health Promotion Research, Department of Surgery, University of Vermont Larner College of Medicine, Burlington, Vermont, USA
| | - Karen J. Wernli
- Kaiser Permanente Washington, Kaiser Permanente Washington Health Research Institute, Seattle, Washington, USA
| | - Janie M. Lee
- Department of Radiology, University of Washington, Fred Hutchinson Cancer Center, Seattle, Washington, USA
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Lawson MB, Herschorn SD, Sprague BL, Buist DSM, Lee SJ, Newell MS, Lourenco AP, Lee JM. Imaging Surveillance Options for Individuals With a Personal History of Breast Cancer: AJR Expert Panel Narrative Review. AJR Am J Roentgenol 2022; 219:854-868. [PMID: 35544374 PMCID: PMC9691521 DOI: 10.2214/ajr.22.27635] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Annual surveillance mammography is recommended for breast cancer survivors on the basis of observational studies and meta-analyses showing reduced breast cancer mortality and improved quality of life. However, breast cancer survivors are at higher risk of subsequent breast cancer and have a fourfold increased risk of interval breast cancers compared with individuals without a personal history of breast cancer. Supplemental surveillance modalities offer increased cancer detection compared with mammography alone, but utilization is variable, and benefits must be balanced with possible harms of false-positive findings. In this review, we describe the current state of mammographic surveillance, summarize evidence for supplemental surveillance in breast cancer survivors, and explore a risk-based approach to selecting surveillance imaging strategies. Further research identifying predictors associated with increased risk of interval second breast cancers and development of validated risk prediction tools may help physicians and patients weigh the benefits and harms of surveillance breast imaging and decide on a personalized approach to surveillance for improved breast cancer outcomes.
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Affiliation(s)
- Marissa B Lawson
- Department of Radiology, University of Washington School of Medicine, Seattle Cancer Care Alliance, 825 Eastlake Ave E, LG-200, Seattle, WA 98040
| | - Sally D Herschorn
- Department of Radiology, University of Vermont Larner College of Medicine, University of Vermont Cancer Center, Burlington, VT
| | - Brian L Sprague
- Department of Surgery, University of Vermont Larner College of Medicine, Burlington, VT
| | - Diana S M Buist
- Kaiser Permanente Washington Health Research Institute, Seattle, WA
| | - Su-Ju Lee
- Department of Radiology, University of Cincinnati Medical Center, Cincinnati, OH
| | - Mary S Newell
- Department of Radiology and Imaging Sciences, Emory University, Atlanta, GA
| | - Ana P Lourenco
- Department of Diagnostic Imaging, Alpert Medical School of Brown University, Providence, RI
| | - Janie M Lee
- Department of Radiology, University of Washington School of Medicine, Seattle Cancer Care Alliance, 825 Eastlake Ave E, LG-200, Seattle, WA 98040
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7
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Yang L, Du W, Hu T, Liu M, Cai L, Liu Q, Yu Z, Liu G, Wang S. Survival in Breast Cancer Patients with Bone Metastasis: A Multicenter Real-World Study on the Prognostic Impact of Intensive Postoperative Bone Scan after Initial Diagnosis of Breast Cancer (CSBrS-023). Cancers (Basel) 2022; 14:5835. [PMID: 36497317 PMCID: PMC9740679 DOI: 10.3390/cancers14235835] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Revised: 08/24/2022] [Accepted: 11/23/2022] [Indexed: 11/29/2022] Open
Abstract
The prognostic value of intensive postoperative bone scan (BS) screening, which is performed in asymptomatic patients with breast cancer (BC) after surgery, remained unclear. Patients diagnosed with BC with bone metastasis (BM) from five medical centers in China during the years 2005−2013 were retrospectively collected. Propensity score matching (PSM) was performed to balance the baseline characteristics. The survival outcomes were overall survival (OS) and overall survival after BM (OSABM). Among 1059 eligible patients, 304 underwent intensive postoperative BS while 755 did not. During a median follow-up of 6.67 years (95%CI 6.45, 7.21), intensive postoperative BS prolonged the median OS by 1.63 years (Log-Rank p = 0.006) and OSABM by 0.66 years (Log-Rank p = 0.002). Intensive postoperative BS was an independent prognostic factor for both OS (adjusted HR 0.77, 95%CI 0.64, 0.93, adjusted p = 0.006) and OSABM (adjusted HR 0.71, 95%CI 0.60, 0.86, adjusted p < 0.001). The prognostic value of intensive postoperative BS was consistently favorable for OS among clinical high-risk patients, including those with ages younger than 50, stage II, histology grade G3 and ER-Her2- subtype. This multicenter real-world study showed that intensive postoperative BS screening improved survival for BC patients with BM and should probably be recommended for postoperative surveillance, especially for patients at clinical high-risk.
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Affiliation(s)
- Liu Yang
- Department of Breast Disease Center, Peking University People’s Hospital, Beijing 100044, China
| | - Wei Du
- Department of Breast Disease Center, Peking University People’s Hospital, Beijing 100044, China
| | - Taobo Hu
- Department of Breast Disease Center, Peking University People’s Hospital, Beijing 100044, China
| | - Miao Liu
- Department of Breast Disease Center, Peking University People’s Hospital, Beijing 100044, China
| | - Li Cai
- Department of Breast Oncology, Harbin Medical University Cancer Hospital, Harbin 150000, China
| | - Qiang Liu
- Department of Breast Surgery, Sun Yai-Sen Memorial Hospital, Guangzhou 510120, China
| | - Zhigang Yu
- Department of Breast Surgery, The Second Hospital of Shandong University, Jinan 250021, China
| | - Guangyu Liu
- Department of Breast Surgery, Fudan University Shanghai Cancer Center, Shanghai 200032, China
| | - Shu Wang
- Department of Breast Disease Center, Peking University People’s Hospital, Beijing 100044, China
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8
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Mehta TS, Lourenco AP, Niell BL, Bennett DL, Brown A, Chetlen A, Freer P, Ivansco LK, Jochelson MS, Klein KA, Malak SF, McCrary M, Mullins D, Neal CH, Newell MS, Ulaner GA, Moy L. ACR Appropriateness Criteria® Imaging After Breast Surgery. J Am Coll Radiol 2022; 19:S341-S356. [PMID: 36436961 DOI: 10.1016/j.jacr.2022.09.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Accepted: 09/01/2022] [Indexed: 11/27/2022]
Abstract
Given that 20% to 40% of women who have percutaneous breast biopsy subsequently undergo breast surgery, knowledge of imaging women with a history of benign (including high-risk) disease or breast cancer is important. For women who had surgery for nonmalignant pathology, the surveillance recommendations are determined by their overall risk. Higher-than-average risk women with a history of benign surgery may require screening mammography starting at an earlier age before 40 and may benefit from screening MRI. For women with breast cancer who have undergone initial excision and have positive margins, imaging with diagnostic mammography or MRI can sometimes guide additional surgical planning. Women who have completed breast conservation therapy for cancer should get annual mammography and may benefit from the addition of MRI or ultrasound to their surveillance regimen. The ACR Appropriateness Criteria are evidence-based guidelines for specific clinical conditions that are reviewed annually by a multidisciplinary expert panel. The guideline development and revision process support the systematic analysis of the medical literature from peer reviewed journals. Established methodology principles such as Grading of Recommendations Assessment, Development, and Evaluation or GRADE are adapted to evaluate the evidence. The RAND/UCLA Appropriateness Method User Manual provides the methodology to determine the appropriateness of imaging and treatment procedures for specific clinical scenarios. In those instances in which peer reviewed literature is lacking or equivocal, experts may be the primary evidentiary source available to formulate a recommendation.
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Affiliation(s)
- Tejas S Mehta
- Director of Diversity, Equity Inclusion and Population Health in Radiology, UMass Memorial Medical Center, Worchester, Massachusetts.
| | - Ana P Lourenco
- Panel Chair; Residency Program Director, Alpert Medical School of Brown University, Providence, Rhode Island
| | - Bethany L Niell
- Panel Vice-Chair; Section Chief of Breast Imaging, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida; Commission Government Relations Chair
| | - Debbie L Bennett
- Section Chief - Breast Imaging, Mallinckrodt Institute of Radiology/Washington University School of Medicine, Saint Louis, Missouri
| | - Ann Brown
- Assistant Section Chief, University of Cincinnati, Cincinnati, Ohio
| | - Alison Chetlen
- Vice Chair of Education, Division Chief Breast Imaging, Penn State Health Hershey Medical Center, Hershey, Pennsylvania
| | - Phoebe Freer
- Section Chief, Breast Imaging, University of Utah/Huntsman Cancer Institute, Salt Lake City, Utah; ACR/SCBI Screening Leadership Group Inaugural Class
| | - Lillian K Ivansco
- Assistant Chief, Department of Radiology, Section Chief for Breast Imaging and Quality, Co-Chair, Breast Imaging Sourcing and Standards Team, Kaiser Permanente Georgia, Atlanta, Georgia
| | - Maxine S Jochelson
- Chief of the Breast Imaging Service, Memorial Sloan Kettering Cancer Center, New York, New York
| | | | | | - Marion McCrary
- Associate Director of Duke GME Coaching, Duke Signature Care, Durham, North Carolina; American College of Physicians; Governor-Elect, American College of Physicians, North Carolina Chapter
| | - David Mullins
- Chief of Staff, Princeton Community Hospital, Princeton, West Virginia; American College of Surgeons
| | | | - Mary S Newell
- Emory University Hospital, Atlanta, Georgia; RADS Committee
| | - Gary A Ulaner
- Hoag Family Cancer Institute, Newport Beach, California and University of Southern California, Los Angeles, California; Commission on Nuclear Medicine and Molecular Imaging
| | - Linda Moy
- Specialty Chair, NYU Clinical Cancer Center, New York, New York
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9
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Le-Petross HT, Slanetz PJ, Lewin AA, Bao J, Dibble EH, Golshan M, Hayward JH, Kubicky CD, Leitch AM, Newell MS, Prifti C, Sanford MF, Scheel JR, Sharpe RE, Weinstein SP, Moy L. ACR Appropriateness Criteria® Imaging of the Axilla. J Am Coll Radiol 2022; 19:S87-S113. [PMID: 35550807 DOI: 10.1016/j.jacr.2022.02.010] [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: 02/15/2022] [Accepted: 02/19/2022] [Indexed: 11/26/2022]
Abstract
This publication reviews the current evidence supporting the imaging approach of the axilla in various scenarios with broad differential diagnosis ranging from inflammatory to malignant etiologies. Controversies on the management of axillary adenopathy results in disagreement on the appropriate axillary imaging tests. Ultrasound is often the appropriate initial imaging test in several clinical scenarios. Clinical information (such as age, physical examinations, risk factors) and concurrent complete breast evaluation with mammogram, tomosynthesis, or MRI impact the type of initial imaging test for the axilla. Several impactful clinical trials demonstrated that selected patient's population can received sentinel lymph node biopsy instead of axillary lymph node dissection with similar overall survival, and axillary lymph node dissection is a safe alternative as the nodal staging procedure for clinically node negative patients or even for some node positive patients with limited nodal tumor burden. This approach is not universally accepted, which adversely affect the type of imaging tests considered appropriate for axilla. This document is focused on the initial imaging of the axilla in various scenarios, with the understanding that concurrent or subsequent additional tests may also be performed for the breast. The American College of Radiology Appropriateness Criteria are evidence-based guidelines for specific clinical conditions that are reviewed annually by a multidisciplinary expert panel. The guideline development and revision include an extensive analysis of current medical literature from peer reviewed journals and the application of well-established methodologies (RAND/UCLA Appropriateness Method and Grading of Recommendations Assessment, Development, and Evaluation or GRADE) to rate the appropriateness of imaging and treatment procedures for specific clinical scenarios. In those instances where evidence is lacking or equivocal, expert opinion may supplement the available evidence to recommend imaging or treatment.
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Affiliation(s)
| | - Huong T Le-Petross
- The University of Texas MD Anderson Cancer Center, Houston, Texas; Director of Breast MRI.
| | - Priscilla J Slanetz
- Panel Chair, Boston University School of Medicine, Boston, Massachusetts; Vice Chair of Academic Affairs, Department of Radiology, Boston Medical Center; Associate Program Director, Diagnostic Radiology Residency, Boston Medical Center; Program Director, Early Career Faculty Development Program, Boston University Medical Campus; Co-Director, Academic Writing Program, Boston University Medical Group; President, Massachusetts Radiological Society; Vice President, Association of University Radiologists
| | - Alana A Lewin
- Panel Vice-Chair, New York University School of Medicine, New York, New York; Associate Program Director, Breast Imaging Fellowship, NYU Langone Medical Center
| | - Jean Bao
- Stanford University Medical Center, Stanford, California; Society of Surgical Oncology
| | | | - Mehra Golshan
- Smilow Cancer Hospital, Yale Cancer Center, New Haven, Connecticut; American College of Surgeons; Deputy CMO for Surgical Services and Breast Program Director, Smilow Cancer Hospital at Yale; Executive Vice Chair for Surgery, Yale School of Medicine
| | - Jessica H Hayward
- University of California San Francisco, San Francisco, California; Co-Fellowship Direction, Breast Imaging Fellowship
| | | | - A Marilyn Leitch
- UT Southwestern Medical Center, Dallas, Texas; American Society of Clinical Oncology
| | - Mary S Newell
- Emory University Hospital, Atlanta, Georgia; Interim Director, Division of Breast Imaging at Emory; ACR: Chair of BI-RADS; Chair of PP/TS
| | - Christine Prifti
- Boston Medical Center, Boston, Massachusetts, Primary care physician
| | | | | | | | - Susan P Weinstein
- Perelman School of Medicine of the University of Pennsylvania, Philadelphia, Pennsylvania; Associate Chief of Radiology, San Francisco VA Health Systems
| | - Linda Moy
- Specialty Chair, NYU Clinical Cancer Center, New York, New York; Chair of ACR Practice Parameter for Breast Imaging, Chair ACR NMD
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10
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PET imaging in breast cancer. Nucl Med Mol Imaging 2022. [DOI: 10.1016/b978-0-12-822960-6.00124-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022] Open
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11
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Jung SY, Kim YA, Lee DE, Joo J, Back JH, Kong SY, Lee ES. Clinical impact of follow-up imaging on mortality in Korean breast cancer patients: A national cohort study. Cancer Med 2021; 10:6480-6491. [PMID: 34472221 PMCID: PMC8446413 DOI: 10.1002/cam4.3873] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2020] [Revised: 02/06/2021] [Accepted: 03/13/2021] [Indexed: 11/07/2022] Open
Abstract
Background As the incidence of breast cancer has increased and the survival rate has improved, supporting the optimal follow‐up strategy has become an important issue. This study aimed to evaluate follow‐up imaging usage after breast cancer surgery and the implications on mortality in Korea. Methods This study included 96,575 breast cancer patients diagnosed during 2002–2010 and registered in the Korea Central Cancer Registry, Statistics Korea, and Korean National Health Insurance Service. We evaluated the frequency of breast imaging (mammography and breast MRI) and systemic imaging for evaluating the presence of distant metastasis (chest CT, bone scan, and PET‐CT), and performed analyses to determine if they had an effect on mortality. Results The median follow‐up period was 72.9 months (range: 12.0–133.3) and 7.5% of the patients died. Among all patients, 54.7%, 16.2%, 45.6%, and 8.5% received 3 or more mammograms, chest CTs, bone scans, and PET‐CTs within 3 years after surgery, respectively. Among patients who developed recurrence after 3 or more years, a comparison of overall mortality and breast‐cancer specific mortality according to the frequency of imaging by modality (<3 vs. ≥3) showed that only mammography had significantly reduced mortality (hazard ratio [HR]: 0.72, 95% CI: 0.61–0.84, p < 0.0001; HR: 0.72, 95% CI: 0.61–0.84; p < 0.0001). Conclusions This study showed that only frequent mammography reduced mortality and frequent imaging follow‐up with other modalities did not when compared to less frequent imaging. This finding provides supportive evidence that clinicians need to adhere to the current guidelines for surveillance after breast cancer surgery.
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Affiliation(s)
- So-Youn Jung
- Department of Surgery, National Cancer Center, Goyang, Korea.,National Cancer Center Graduate School of Cancer Science and Policy, Goyang, Korea
| | - Young Ae Kim
- National Cancer Center Graduate School of Cancer Science and Policy, Goyang, Korea.,Cancer Policy Branch, National Cancer Control Institute, National Cancer Center, Goyang, Korea
| | - Dong-Eun Lee
- Biostatistics Collaboration Team, Research Core Center, Research Institute, National Cancer Center, Goyang, Korea
| | - Jungnam Joo
- Office of Biostatistics Research, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Joung Hwan Back
- Health Insurance Policy Research Institute, National Health Insurance Service, Wonju, South Korea
| | - Sun-Young Kong
- National Cancer Center Graduate School of Cancer Science and Policy, Goyang, Korea.,Department of Laboratory Medicine, National Cancer Center, Goyang, Korea.,Division of Translational Science, Research Institute, National Cancer Center, Goyang, Korea
| | - Eun Sook Lee
- Department of Surgery, National Cancer Center, Goyang, Korea.,National Cancer Center Graduate School of Cancer Science and Policy, Goyang, Korea
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Costa A, Vale N. Strategies for the treatment of breast cancer: from classical drugs to mathematical models. MATHEMATICAL BIOSCIENCES AND ENGINEERING : MBE 2021; 18:6328-6385. [PMID: 34517536 DOI: 10.3934/mbe.2021316] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Breast cancer is one of the most common cancers and generally affects women. It is a heterogeneous disease that presents different entities, different biological characteristics, and differentiated clinical behaviors. With this in mind, this literature review had as its main objective to analyze the path taken from the simple use of classical drugs to the application of mathematical models, which through the many ongoing studies, have been considered as one of the reliable strategies, explaining the reasons why chemotherapy is not always successful. Besides, the most commonly mentioned strategies are immunotherapy, which includes techniques and therapies such as the use of antibodies, cytokines, antitumor vaccines, oncolytic and genomic viruses, among others, and nanoparticles, including metallic, magnetic, polymeric, liposome, dendrimer, micelle, and others, as well as drug reuse, which is a process by which new therapeutic indications are found for existing and approved drugs. The most commonly used pharmacological categories are cardiac, antiparasitic, anthelmintic, antiviral, antibiotic, and others. For the efficient development of reused drugs, there must be a process of exchange of purposes, methods, and information already available, and for their better understanding, computational mathematical models are then used, of which the methods of blind search or screening, based on the target, knowledge, signature, pathway or network and the mechanism to which it is directed, stand out. To conclude it should be noted that these different strategies can be applied alone or in combination with each other always to improve breast cancer treatment.
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Affiliation(s)
- Ana Costa
- OncoPharma Research Group, Center for Health Technology and Services Research (CINTESIS), Rua Dr. Plácido da Costa, 4200-450 Porto, Portugal
| | - Nuno Vale
- OncoPharma Research Group, Center for Health Technology and Services Research (CINTESIS), Rua Dr. Plácido da Costa, 4200-450 Porto, Portugal
- Department of Community Medicine, Health Information and Decision (MEDCIDS), Faculty of Medicine, University of Porto, Al. Prof. Hernâni Monteiro, 4200-319 Porto, Portugal
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Ram S, Dietsche E. Post-operative imaging surveillance of breast cancer patients status post lumpectomy with BioZorb implant placement. J Radiol Case Rep 2021; 15:7-24. [PMID: 33717407 DOI: 10.3941/jrcr.v15i2.3911] [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] [Indexed: 11/15/2022] Open
Abstract
The evolving nature of newer surgical techniques and devices adds to the challenge of interpreting breast imaging in the post lumpectomy setting. The BioZorb surgical marker placed at lumpectomy sites for post-operative radiation targeting has its own distinct imaging appearance on each modality. Determining the expected follow-up imaging findings unique to this relatively new device is an ongoing endeavor with minimal literature on this topic. The following series of cases of post BioZorb breast surveillance are one of the first reported in the literature to provide examples of developing asymmetries and new or enlarging masses adjacent to the BioZorb site along with the final pathologic diagnosis for each case. Pathology findings range from fat necrosis and foreign body reaction to recurrent disease.
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Affiliation(s)
- Shruthi Ram
- Department of Diagnostic Imaging, Rhode Island Hospital, Providence, USA
| | - Eric Dietsche
- Department of Diagnostic Imaging, Rhode Island Hospital, Providence, USA
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Bahl M, Mercaldo S, McCarthy AM, Lehman CD. Imaging Surveillance of Breast Cancer Survivors with Digital Mammography versus Digital Breast Tomosynthesis. Radiology 2020; 298:308-316. [PMID: 33350890 DOI: 10.1148/radiol.2020201854] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
Background Among breast cancer survivors, detecting a breast cancer when it is asymptomatic (rather than symptomatic) improves survival; thus, imaging surveillance in these patients is warranted. Digital breast tomosynthesis (DBT) is used for screening, but data on DBT for surveillance in this high-risk population are limited. Purpose To determine whether DBT leads to improved screening performance metrics when compared with two-dimensional digital mammography among breast cancer survivors. Materials and Methods In this study, screening mammograms obtained in breast cancer survivors before and after DBT implementation were retrospectively reviewed (March 2008-February 2011 for the digital mammography group; January 2013-December 2017 for the DBT group). Mammograms were interpreted by breast imaging radiologists with the assistance of computer-aided detection. Performance metrics and tumor characteristics between the groups were compared using multivariable logistic regression models. Results The digital mammography and DBT groups were composed of 9019 and 22 887 mammographic examinations, respectively, in 8170 women (mean age, 62 years ± 12 [standard deviation]). In the DBT group, the abnormal interpretation rate was lower (5.8% [1331 of 22 887 examinations] vs 6.2% [563 of 9019 examinations]; odds ratio [OR], 0.80; 95% CI: 0.71, 0.91; P = .001) and specificity was higher (95.0% [21 502 of 22 644 examinations] vs 94.7% [8424 of 8891 examinations]; OR, 1.23; 95% CI: 1.07, 1.41; P = .003) than in the digital mammography group. The cancer detection rates did not differ (8.3 per 1000 examinations with DBT vs 10.6 with digital mammography; OR, 0.76; 95% CI: 0.57, 1.02; P = .07). The proportions of screening-detected invasive cancers, versus in situ cancers, were similar (74% [140 of 189 cancers] in the DBT group vs 72% [69 of 96 cancers] in the digital mammography group; P = .69). Of 86 interval cancers, 58% (50 of 86 cancers) manifested with symptoms, and 33% (28 of 86 cancers) were detected at screening MRI. Conclusion Among breast cancer survivors, screening with digital breast tomosynthesis led to fewer false-positive results and higher specificity but did not affect cancer detection. © RSNA, 2020 Online supplemental material is available for this article. See also the editorial by Hooley and Butler in this issue.
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Affiliation(s)
- Manisha Bahl
- From the Departments of Radiology (M.B., S.M., C.D.L.) and Medicine (A.M.M.), Massachusetts General Hospital, 55 Fruit St, WAC 240; Boston, MA 02114
| | - Sarah Mercaldo
- From the Departments of Radiology (M.B., S.M., C.D.L.) and Medicine (A.M.M.), Massachusetts General Hospital, 55 Fruit St, WAC 240; Boston, MA 02114
| | - Anne Marie McCarthy
- From the Departments of Radiology (M.B., S.M., C.D.L.) and Medicine (A.M.M.), Massachusetts General Hospital, 55 Fruit St, WAC 240; Boston, MA 02114
| | - Constance D Lehman
- From the Departments of Radiology (M.B., S.M., C.D.L.) and Medicine (A.M.M.), Massachusetts General Hospital, 55 Fruit St, WAC 240; Boston, MA 02114
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