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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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Cerdas MG, Farhat J, Elshafie SI, Mariyam F, James L, Qureshi AK, Potru M, Paliwei P, Joshi MR, Abraham G, Siddiqui HF. Exploring the Evolution of Breast Cancer Imaging: A Review of Conventional and Emerging Modalities. Cureus 2025; 17:e82762. [PMID: 40416096 PMCID: PMC12098770 DOI: 10.7759/cureus.82762] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/22/2025] [Indexed: 05/27/2025] Open
Abstract
Breast cancer (BC) is one of the leading causes of malignancy among women, and its prevalence is exponentially rising globally. Early and accurate imaging is critical for early detection, diagnosis, and treatment planning. This comprehensive review explores the current status of BC imaging, from the conventional methods such as mammography, ultrasound (US) and magnetic resonance imaging (MRI) to more advanced techniques including contrast-enhanced imaging, tomosynthesis, and molecular breast imaging (MBI). Conventional imaging remains the foundation for screening, as mammography is the most widely preferred modality. US and MRI are usually employed in dense breasts in highly suspicious cases that are not detected on a mammogram. However, the limitations posed by these traditional techniques can be curtailed using advanced modalities to enhance diagnostic accuracy. These emerging techniques provide faster and earlier detection of malignancy, particularly in high-risk patients, and substantially reduce the burden of missed cases. Emerging technologies, including photoacoustic imaging (PAI) and contrast-enhanced ultrasound (CEUS), show promising potential in visualizing microvascular structures and enhancing diagnostic accuracy. Additionally, artificial intelligence (AI) is revolutionizing BC imaging across all modalities by optimizing interpretation, enhancing sensitivity, and enabling personalized risk assessment. Although technological innovation continues to improve imaging quality and diagnostic precision, challenges such as cost, accessibility, overdiagnosis, and disparities in care remain a concern. Moving forward, a collaborative multimodal strategy that incorporates personalized imaging protocols and equitable access will be crucial for improving BC screening and management. The future of breast imaging lies not in replacing existing modalities but in developing a system where each technology complements the other, leading to earlier detection, more effective treatment, and enhanced outcomes.
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Affiliation(s)
| | - Jana Farhat
- Diagnostic Radiology, Faculty of Medicine, Lebanese University, Beirut, LBN
| | - Sara I Elshafie
- Internal Medicine, Faculty of Medicine, University of Khartoum, Jeddah, SAU
| | - Faina Mariyam
- Internal Medicine, Kasturba Medical College, Manipal, Kozhikode, IND
| | - Lina James
- Medicine, Perundurai Medical College, Perundurai, IND
| | - Arifa K Qureshi
- Obstetrics and Gynecology, Buckinghamshire Healthcare NHS Trust, Aylesbury, GBR
| | - Monica Potru
- Radiology, Dr. Rajendra Gode Medical College, Amravati, IND
| | - Paerhati Paliwei
- Medicine and Surgery, Università Cattolica del Sacro Cuore, Rome, ITA
| | - Megha R Joshi
- Gastroenterology, Boston Children's Hospital, Boston, USA
| | - Godwin Abraham
- Oncology, Midland Metropolitan University Hospital, Smethwick, GBR
| | - Humza F Siddiqui
- Internal Medicine, Jinnah Postgraduate Medical Centre, Karachi, PAK
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3
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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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Popova NS, Novikov SN, Krzhivitskiy PI, Zhukova LA, Krivorotko PV, Artemyeva AS, Michnin AE, Valitova AA, Danilov VV, Chyornaya AV, Tabagua TT, Bryantseva ZV, Akulova IA, Kanaev SV. Diagnostic capabilities of breast scintigraphy and molecular imaging of the mammary glands in the detection of various biological subtypes of breast cancer. TUMORS OF FEMALE REPRODUCTIVE SYSTEM 2022. [DOI: 10.17650/1994-4098-2022-18-3-14-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/03/2022]
Abstract
Background. The accurate and early diagnosis of breast cancer can improve efficacy of the treatment. The standard diagnostic methods such as mammography, ultrasound, and magnetic resonance tomography have a pivotal role in the detection of breast tumors, however, in some cases, they have low diagnostic accuracy. Mammoscintigraphy (MSG) / molecular breast imaging (MBI) with tumor-specific radiopharmacy 99mTc-Technetril in patients with breast cancer can considerably increase the accuracy of diagnosis. However, the diagnostic performance of MSG / MBI in the detection of different biological subtypes of breast cancer is still under investigation.Aim. To evaluate the accuracy of MSG / MBI with 99mTc-Technetril in diagnosis of different biological subtypes of breast cancer.Materials and methods. The analysis included the results of MSG / MBI of 1080 patients (2154 mammary glands), who were examined for suspected breast cancer. MSG / MBI were performed 5–15 min after intravenous injection into the vein of one of the feet of 370–740 MBq of tumor-specific radiopharmacy 99mTc-Technetril. Examinations performed from 2007–2020 was carried out on the emission computed tomography Forte (Philips); since 2020 the molecular visualization has been providing on the special gamma-camera Discovery NM750b (General Electric). The obtained data were evaluated by 2 experienced radiologists. Verification of changes in breasts was provided by morphological examination (1060 cases) or dynamic observation.Results. The sensitivity, specificity and overall accuracy of MSG / MBI were 90 %, 98 %, 95 % correspondingly. When diagnosing tumors with a diameter of up to 10 mm, the sensitivity of MSG / MBI was decreased to 83 %. In patients with various biological subtypes, the sensitivity of MSG / MBI was as follows: luminal A – 88 %; luminal B– – 91 %; luminal B+ – 92 %; triple negative – 93 %; HER2-positive – 96 %. The intensity of tumor uptake depended on the biological subtype of breast cancer. The average values of the 99mTc-Technetril uptake coefficient were as follows: luminal A – 1.59; luminal B– – 1.71; luminal B+ – 1.95; triple negative – 1.93; HER2-positive – 2.22.Conclusion. Retrospective analysis indicate high diagnostic performance of MSG / MBI: sensitivity – 90 %, specificity – 98 %, accuracy – 95 %. There are significant differences in the intensity of 99mTc-Technetril accumulation in tumors in patients with different biological subtypes of breast cancer (p = 0.01–0.004). MSG / MBI characterized by significant differences in the sensitivity in the diagnosis of luminal A and HER2+ breast cancer subtypes: 88 % and 96 %, respectively (p = 0.02).
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Affiliation(s)
- N. S. Popova
- N. N. Petrov National Medical Research Center of Oncology, Ministry of Health of Russia
| | - S. N. Novikov
- N. N. Petrov National Medical Research Center of Oncology, Ministry of Health of Russia
| | - P. I. Krzhivitskiy
- N. N. Petrov National Medical Research Center of Oncology, Ministry of Health of Russia
| | - L. A. Zhukova
- N. N. Petrov National Medical Research Center of Oncology, Ministry of Health of Russia
| | - P. V. Krivorotko
- N. N. Petrov National Medical Research Center of Oncology, Ministry of Health of Russia
| | - A. S. Artemyeva
- N. N. Petrov National Medical Research Center of Oncology, Ministry of Health of Russia
| | - A. E. Michnin
- N. N. Petrov National Medical Research Center of Oncology, Ministry of Health of Russia
| | - A. A. Valitova
- N. N. Petrov National Medical Research Center of Oncology, Ministry of Health of Russia
| | - V. V. Danilov
- N. N. Petrov National Medical Research Center of Oncology, Ministry of Health of Russia
| | - A. V. Chyornaya
- N. N. Petrov National Medical Research Center of Oncology, Ministry of Health of Russia
| | - T. T. Tabagua
- N. N. Petrov National Medical Research Center of Oncology, Ministry of Health of Russia
| | - Zh. V. Bryantseva
- N. N. Petrov National Medical Research Center of Oncology, Ministry of Health of Russia
| | - I. A. Akulova
- N. N. Petrov National Medical Research Center of Oncology, Ministry of Health of Russia
| | - S. V. Kanaev
- N. N. Petrov National Medical Research Center of Oncology, Ministry of Health of Russia
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Agrahari S, Kumar Gautam R, Kumar Singh A, Tiwari I. Nanoscale materials-based hybrid frameworks modified electrochemical biosensors for early cancer diagnostics: An overview of current trends and challenges. Microchem J 2022. [DOI: 10.1016/j.microc.2021.106980] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
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Radionuclide-Based Imaging of Breast Cancer: State of the Art. Cancers (Basel) 2021; 13:cancers13215459. [PMID: 34771622 PMCID: PMC8582396 DOI: 10.3390/cancers13215459] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2021] [Revised: 10/14/2021] [Accepted: 10/14/2021] [Indexed: 12/21/2022] Open
Abstract
Simple Summary Breast cancer is one of the most commonly diagnosed malignant tumors, possessing high incidence and mortality rates that threaten women’s health. Thus, early and effective breast cancer diagnosis is crucial for enhancing the survival rate. Radionuclide molecular imaging displays its advantages for detecting breast cancer from a functional perspective. Noninvasive visualization of biological processes with radionuclide-labeled small metabolic compounds helps elucidate the metabolic state of breast cancer, while radionuclide-labeled ligands/antibodies for receptor-targeted radionuclide molecular imaging is sensitive and specific for visualization of the overexpressed molecular markers in breast cancer. This review focuses on the most recent developments of novel radiotracers as promising tools for early breast cancer diagnosis. Abstract Breast cancer is a malignant tumor that can affect women worldwide and endanger their health and wellbeing. Early detection of breast cancer can significantly improve the prognosis and survival rate of patients, but with traditional anatomical imagine methods, it is difficult to detect lesions before morphological changes occur. Radionuclide-based molecular imaging based on positron emission tomography (PET) and single-photon emission computed tomography (SPECT) displays its advantages for detecting breast cancer from a functional perspective. Radionuclide labeling of small metabolic compounds can be used for imaging biological processes, while radionuclide labeling of ligands/antibodies can be used for imaging receptors. Noninvasive visualization of biological processes helps elucidate the metabolic state of breast cancer, while receptor-targeted radionuclide molecular imaging is sensitive and specific for visualization of the overexpressed molecular markers in breast cancer, contributing to early diagnosis and better management of cancer patients. The rapid development of radionuclide probes aids the diagnosis of breast cancer in various aspects. These probes target metabolism, amino acid transporters, cell proliferation, hypoxia, estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor 2 (HER2), gastrin-releasing peptide receptor (GRPR) and so on. This article provides an overview of the development of radionuclide molecular imaging techniques present in preclinical or clinical studies, which are used as tools for early breast cancer diagnosis.
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Gilbert FJ, Hickman SE, Baxter GC, Allajbeu I, James J, Caraco C, Vinnicombe S. Opportunities in cancer imaging: risk-adapted breast imaging in screening. Clin Radiol 2021; 76:763-773. [PMID: 33820637 DOI: 10.1016/j.crad.2021.02.013] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2020] [Accepted: 02/19/2021] [Indexed: 12/17/2022]
Abstract
In the UK, women between 50-70 years are invited for 3-yearly mammography screening irrespective of their likelihood of developing breast cancer. The only risk adaption is for women with >30% lifetime risk who are offered annual magnetic resonance imaging (MRI) and mammography, and annual mammography for some moderate-risk women. Using questionnaires, breast density, and polygenic risk scores, it is possible to stratify the population into the lowest 20% risk, who will develop <4% of cancers and the top 4%, who will develop 18% of cancers. Mammography is a good screening test but has low sensitivity of 60% in the 9% of women with the highest category of breast density (BIRADS D) who have a 2.5- to fourfold breast cancer risk. There is evidence that adding ultrasound to the screening mammogram can increase the cancer detection rate and reduce advanced stage interval and next round cancers. Similarly, alternative tests such as contrast-enhanced mammography (CESM) or abbreviated MRI (ABB-MRI) are much more effective in detecting cancer in women with dense breasts. Scintimammography has been shown to be a viable alternative for dense breasts or for follow-up in those with a personal history of breast cancer and scarring as result of treatment. For supplemental screening to be worthwhile in these women, new technologies need to reduce the number of stage II cancers and be cost effective when tested in large scale trials. This article reviews the evidence for supplemental imaging and examines whether a risk-stratified approach is feasible.
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Affiliation(s)
- F J Gilbert
- Department of Radiology, University of Cambridge School of Clinical Medicine, Box 218, Level 5, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK; Department of Radiology, Addenbrookes Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK.
| | - S E Hickman
- Department of Radiology, University of Cambridge School of Clinical Medicine, Box 218, Level 5, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
| | - G C Baxter
- Department of Radiology, University of Cambridge School of Clinical Medicine, Box 218, Level 5, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
| | - I Allajbeu
- Department of Radiology, University of Cambridge School of Clinical Medicine, Box 218, Level 5, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK; Department of Radiology, Addenbrookes Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - J James
- Nottingham Breast Institute, City Hospital, Nottingham, UK
| | - C Caraco
- Department of Radiology, University of Cambridge School of Clinical Medicine, Box 218, Level 5, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
| | - S Vinnicombe
- Thirlestaine Breast Centre, Cheltenham, UK; Ninewells Hospital and Medical School, University of Dundee, UK
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8
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Lopez BP, Guan F, Rauch GM, Kappadath SC. Monte Carlo simulation of pixelated CZT detector with Geant4: validation of clinical molecular breast imaging system. Phys Med Biol 2021; 66. [PMID: 34038878 DOI: 10.1088/1361-6560/ac0588] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2021] [Accepted: 05/26/2021] [Indexed: 11/12/2022]
Abstract
Purpose. Molecular breast imaging (MBI) of99mTc-sestamibi with dual-headed, pixelated, cadmium-zinc-telluride (CZT) detectors is increasingly used in breast cancer care for screening/detecting lesions, monitoring response to therapy, and predicting risk of cancer. MBI as a truly quantitative tool in these applications, however, is limited due the lack of absolute99mTc-sestamibi uptake quantification. To help advance the field of quantitative MBI, we have developed a Monte Carlo simulation application of the GE Discovery NM 750b system.Methods. Our simulation consists of a two-step process using the Geant4 toolkit to model the detector and source geometry and to track photon interactions and a MATLAB script to model the charge transport within the pixelated CZT detector. Simulated detector and detector response model parameters were selected to match measured and simulated standard performance characteristics using various99mTc point-, line-, and film-sources in air. The final model parameters were verified by comparing the count profiles, energy spectra, and region of interest counts between simulated and measured images of a breast phantom with two spherical lesions in 5 cm thick medium of air or water.Results. Final performance characteristics with99mTc sources in air were: (1) energy resolution: 6.1% measured versus 5.9% simulated photopeak full-width at half-maximum (FWHM), (2) spatial resolution: mean error between measured and simulated FWHM of 0.08 mm across 4.4-14.0 mm FWHM range, and (3) sensitivity: 572 cpm/μCi measured versus 567 cpm/μCi simulated (<1% error). Good agreement was observed in the breast phantom line profiles through the spherical lesions and overall energy spectra, with <5% difference in sphere counts between simulated and measured data.Conclusion. A pixelated CZT charge transport and induction model was successfully implemented and validated to simulate imaging with the GE Discovery NM 750b system. This work will enable investigations improving MBI image quality and developing algorithms for uptake quantification.
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Affiliation(s)
- Benjamin P Lopez
- Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, United States of America.,MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, Houston, TX 77030, United States of America
| | - Fada Guan
- Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, United States of America
| | - Gaiane M Rauch
- Department of Abdominal Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, United States of America
| | - S Cheenu Kappadath
- Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, United States of America.,MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, Houston, TX 77030, United States of America
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9
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Molecular Breast Cancer Imaging in the Era of Precision Medicine. AJR Am J Roentgenol 2020; 215:1512-1519. [DOI: 10.2214/ajr.20.22883] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
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10
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Abstract
OBJECTIVE. The purpose of this article is to review clinical uses and image interpretation of molecular breast imaging (MBI) and clarify radiation risks. CONCLUSION. MBI detects additional cancers compared with conventional imaging in women with dense breasts and those with elevated risk of breast cancer. Its role as an imaging biomarker of cancer risk and in assessing neoadjuvant chemotherapy response is growing. Radiation risk is minimal; benefit-to-risk ratio is similar to that of mammography. MBI is low cost, well tolerated, and easily adapted into clinical practice.
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11
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Urbano N, Scimeca M, Tancredi V, Bonanno E, Schillaci O. 99mTC-sestamibi breast imaging: Current status, new ideas and future perspectives. Semin Cancer Biol 2020; 84:302-309. [PMID: 31982511 DOI: 10.1016/j.semcancer.2020.01.007] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2019] [Revised: 01/14/2020] [Accepted: 01/15/2020] [Indexed: 02/06/2023]
Abstract
Here we proposed the most recent innovations in the use of Breast Specific Gamma Imaging with 99mTc-sestamibi for the management of breast cancer patients. To this end, we reported the recent discoveries concerning: a) the implementation of both instrumental devices and software, b) the biological mechanisms involved in the 99mTc-sestamibi uptake in breast cancer cells, c) the evaluation of Breast Specific Gamma Imaging with 99mTc-sestamibi as predictive markers of metastatic diseases. In this last case, we also reported preliminary data about the capability of Breast Specific Gamma Imaging with 99mTc-sestamibi to identify breast cancer lesions with high propensity to form bone metastatic lesions due to the presence of Breast Osteoblast-Like Cells.
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Affiliation(s)
- Nicoletta Urbano
- Nuclear Medicine, Policlinico "Tor Vergata", Viale Oxford, 81, 00133, Rome, Italy
| | - Manuel Scimeca
- Department of Biomedicine and Prevention, University of Rome "Tor Vergata", Via Montpellier 1, 00133, Rome, Italy; University of San Raffaele, Via di Val Cannuta 247, 00166, Rome, Italy; Fondazione Umberto Veronesi (FUV), Piazza Velasca 5, 20122, Milano (Mi), Italy; UniCamillus, Saint Camillus International University of Health Sciences, Rome, Italy
| | - Virginia Tancredi
- Department of Systems Medicine, School of Sport and Exercise Sciences, University of Rome Tor Vergata, Rome, Italy; Centre of Space Biomedicine, University of Rome Tor Vergata, Rome, Italy
| | - Elena Bonanno
- Department of Experimental Medicine, University of Rome "Tor Vergata", Via Montpellier, 1, 00133, Rome, Italy; Diagnostica Medica' & 'Villa dei Platani', Neuromed Group, Avellino, 83100, Italy
| | - Orazio Schillaci
- Department of Biomedicine and Prevention, University of Rome "Tor Vergata", Via Montpellier 1, 00133, Rome, Italy; IRCCS Neuromed, Pozzilli (Is), 86077, Italy.
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Menta A, Fouad TM, Lucci A, Le-Petross H, Stauder MC, Woodward WA, Ueno NT, Lim B. Inflammatory Breast Cancer: What to Know About This Unique, Aggressive Breast Cancer. Surg Clin North Am 2018; 98:787-800. [PMID: 30005774 DOI: 10.1016/j.suc.2018.03.009] [Citation(s) in RCA: 67] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Inflammatory breast cancer (IBC) is a rare form of breast cancer that accounts for only 2% to 4% of all breast cancer cases. Despite its low incidence, IBC contributes to 7% to 10% of breast cancer caused mortality. Despite ongoing international efforts to formulate better diagnosis, treatment, and research, the survival of patients with IBC has not been significantly improved, and there are no therapeutic agents that specifically target IBC to date. The authors present a comprehensive overview that aims to assess the present and new management strategies of IBC.
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Affiliation(s)
- Arjun Menta
- The University of Texas at Austin, 110 Inner Campus Drive, Austin, TX 78705, USA
| | - Tamer M Fouad
- Morgan Welch Inflammatory Breast Cancer Research and Clinic Program, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA; Department of Medical Oncology, The National Cancer Institute, Cairo University, Cairo 11796, Egypt
| | - Anthony Lucci
- Morgan Welch Inflammatory Breast Cancer Research and Clinic Program, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA; Breast Surgical Oncology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA
| | - Huong Le-Petross
- Morgan Welch Inflammatory Breast Cancer Research and Clinic Program, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA; Breast Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA
| | - Michael C Stauder
- Morgan Welch Inflammatory Breast Cancer Research and Clinic Program, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA; Radiation Oncology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA
| | - Wendy A Woodward
- Morgan Welch Inflammatory Breast Cancer Research and Clinic Program, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA; Radiation Oncology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA
| | - Naoto T Ueno
- Morgan Welch Inflammatory Breast Cancer Research and Clinic Program, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA; Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA
| | - Bora Lim
- Morgan Welch Inflammatory Breast Cancer Research and Clinic Program, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA; Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA.
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13
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The clinical impact of molecular breast imaging in women with proven invasive breast cancer scheduled for breast-conserving surgery. Breast Cancer Res Treat 2018; 169:513-522. [PMID: 29435855 PMCID: PMC5953986 DOI: 10.1007/s10549-018-4706-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2017] [Accepted: 02/03/2018] [Indexed: 01/06/2023]
Abstract
Purpose To investigate the clinical utility of molecular breast imaging (MBI) in patients with proven invasive breast cancer scheduled for breast-conserving surgery (BCS). Methods Following approval by the institutional review board and written informed consent, records of patients with newly diagnosed breast cancer scheduled for BCS who had undergone MBI for local staging in the period from March 2012 till December 2014 were retrospectively reviewed. Results A total of 287 women (aged 30–88 years) were evaluated. MBI showed T stage migration in 26 patients (9%), with frequent detection of in situ carcinoma around the tumor. Surgical management was adjusted in 14 of these patients (54%). In 17 of 287 patients (6%), MBI revealed 21 proven additional lesions in the ipsilateral, contralateral breast or both. In 18 of these additional foci (86%), detected in 15 patients, malignancy was found. Thirteen of these 15 patients had ipsilateral cancer and 2 patients bilateral malignancy. In total, MBI revealed a larger tumor extent, additional tumor foci or both in 40 patients (14%), leading to treatment adjustment in 25 patients (9%). Conclusion MBI seems to be a useful imaging modality with a high predictive value in revealing ipsilateral and bilateral disease not visualized by mammography and ultrasound. It may play an important role in delineating the extent of the index lesion during preoperative planning. Incorporation of MBI in the clinical work-up as an adjunct modality to mammography and ultrasound may lead to better selection of patients who could benefit from BCS.
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Ghanbarzadeh Dagheyan A, Molaei A, Obermeier R, Westwood A, Martinez A, Martinez Lorenzo JA. Preliminary Results of a New Auxiliary Mechatronic Near-Field Radar System to 3D Mammography for Early Detection of Breast Cancer. SENSORS 2018; 18:s18020342. [PMID: 29370106 PMCID: PMC5856184 DOI: 10.3390/s18020342] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/03/2017] [Revised: 12/20/2017] [Accepted: 12/30/2017] [Indexed: 01/22/2023]
Abstract
Accurate and early detection of breast cancer is of high importance, as it is directly associated with the patients’ overall well-being during treatment and their chances of survival. Uncertainties in current breast imaging methods can potentially cause two main problems: (1) missing newly formed or small tumors; and (2) false alarms, which could be a source of stress for patients. A recent study at the Massachusetts General Hospital (MGH) indicates that using Digital Breast Tomosynthesis (DBT) can reduce the number of false alarms, when compared to conventional mammography. Despite the image quality enhancement DBT provides, the accurate detection of cancerous masses is still limited by low radiological contrast (about 1%) between the fibro-glandular tissue and affected tissue at X-ray frequencies. In a lower frequency region, at microwave frequencies, the contrast is comparatively higher (about 10%) between the aforementioned tissues; yet, microwave imaging suffers from low spatial resolution. This work reviews conventional X-ray breast imaging and describes the preliminary results of a novel near-field radar imaging mechatronic system (NRIMS) that can be fused with the DBT, in a co-registered fashion, to combine the advantages of both modalities. The NRIMS consists of two antipodal Vivaldi antennas, an XY positioner, and an ethanol container, all of which are particularly designed based on the DBT physical specifications. In this paper, the independent performance of the NRIMS is assessed by (1) imaging a bearing ball immersed in sunflower oil and (2) computing the heat Specific Absorption Rate (SAR) due to the electromagnetic power transmitted into the breast. The preliminary results demonstrate that the system is capable of generating images of the ball. Furthermore, the SAR results show that the system complies with the standards set for human trials. As a result, a configuration based on this design might be suitable for use in realistic clinical applications.
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Affiliation(s)
| | - Ali Molaei
- Electrical Engineering Department, Northeastern University, Boston, MA 02115, USA.
| | - Richard Obermeier
- Electrical Engineering Department, Northeastern University, Boston, MA 02115, USA.
| | - Andrew Westwood
- Research Applications Specialist and Quantum Engineering Architect, Keysight Technologies, 65 Alsun Drive, Hollis, NH 03049, USA.
| | | | - Jose Angel Martinez Lorenzo
- Mechanical Engineering Department, Northeastern University, Boston, MA 02115, USA.
- Electrical Engineering Department, Northeastern University, Boston, MA 02115, USA.
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Fu H, Wu H, Zhang X, Huang J, He X, Chen L, Guo W, Guo X, Hao B, Li Y. Pre-clinical study of a TNFR1-targeted 18F probe for PET imaging of breast cancer. Amino Acids 2017; 50:409-419. [PMID: 29243062 DOI: 10.1007/s00726-017-2526-y] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2017] [Accepted: 12/08/2017] [Indexed: 11/26/2022]
Abstract
Tumor necrosis factor receptor 1 (TNFR1) is overexpressed in several varieties of carcinoma, including breast cancer. WH701 (Ala-Thr-Ala-Gln-Ser-Ala-Tyr-Gly), which was identified by phage display, can specifically bind to TNFR1. In this study, we labeled WH701 with 18F and investigated its tumor diagnostic value. WH701 was synthesized by standard Fmoc-solid phase synthetic protocols and conjugated by NOTA-NHS. NOTA-WH701 was radiolabeled with 18F using NOTA-AlF chelation reaction. The tumor target properties were evaluated in vitro and in vivo using MCF-7 xenografts and inflammation models. [18F]AlF-NOTA-WH701 was labeled in 25 min with a decay-corrected yield of 38.1 ± 4.8% (n = 5) and a specific activity of 10.4-13.0 GBq/μmol. WH701 had relatively high affinity for MCF-7 cells in vitro and [18F]AlF-NOTA-WH701 displayed relatively high tumor uptake in vivo. The tumor to muscle ratio was 4.25 ± 0.56 at 30 min post-injection (p.i.); further, there was a significant difference between the tumor/muscle and inflammation/muscle (3.22 ± 0.56) ratio, which could differentiate the tumor and inflammation. The tumor uptake of [18F]AlF-NOTA-WH701 could be inhibited by 71.1% by unlabeled WH701 at 30 min p.i. We have developed a promising PET tracer [18F]AlF-NOTA-WH701 for the noninvasive detection of breast cancer in vivo.
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Affiliation(s)
- Hao Fu
- Medical College of Xiamen University, Xiamen University, Xiamen, China
| | - Hua Wu
- Department of Nuclear Medicine and Minnan PET Center, Xiamen Cancer Hospital, The First Affiliated Hospital of Xiamen University, Xiamen, China
| | - Xianzhong Zhang
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, Center for Molecular Imaging and Translational Medicine, School of Public Health, Xiamen University, Xiamen, China
| | - Jinxiong Huang
- Department of Nuclear Medicine and Minnan PET Center, Xiamen Cancer Hospital, The First Affiliated Hospital of Xiamen University, Xiamen, China
| | - Xiaojiang He
- Department of Nuclear Medicine and Minnan PET Center, Xiamen Cancer Hospital, The First Affiliated Hospital of Xiamen University, Xiamen, China
| | - Lichun Chen
- Medical College of Xiamen University, Xiamen University, Xiamen, China
| | - Wei Guo
- Medical College of Xiamen University, Xiamen University, Xiamen, China
| | - Xiuyu Guo
- Medical College of Xiamen University, Xiamen University, Xiamen, China
| | - Bing Hao
- Medical College of Xiamen University, Xiamen University, Xiamen, China
| | - Yesen Li
- Department of Nuclear Medicine and Minnan PET Center, Xiamen Cancer Hospital, The First Affiliated Hospital of Xiamen University, Xiamen, China.
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Dickerson LK, Rositch AF, Lucas S, Harvey SC. Pilot Educational Intervention and Feasibility Assessment of Breast Ultrasound in Rural South Africa. J Glob Oncol 2017; 3:502-508. [PMID: 29094089 PMCID: PMC5646899 DOI: 10.1200/jgo.2016.008086] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Abstract
PURPOSE Breast cancer is the leading cause of cancer death in women worldwide, with high mortality in low- and middle-income countries because of a lack of detection, diagnosis, and treatment. With mammography unavailable, ultrasound offers an alternative for downstaging. The literature reports successful training in various domains, but a focus on the breast is novel. We assessed the feasibility (knowledge acquisition, perceived usefulness, and self-efficacy) of breast ultrasound training for nonphysician providers. METHODS Training was implemented for 12 providers at Hlokomela Clinic in Hoedspruit, South Africa, over 3 weeks. Didactic presentations and example cases were followed by a presurvey and test (n = 12). All providers received hands-on training with nurses as models; five providers trained with patients. A post-test (n = 12) assessed knowledge acquisition and a postsurvey (n = 10) assessed perceived program usefulness and provider self-efficacy. RESULTS The pre- to post-test averages improved by 68% in total and in four competencies (foundational knowledge, descriptive categories, benign v malignant, and lesion identification). On the postsurvey, providers expressed that ultrasound could significantly influence breast cancer detection (9.1 out of 10), treatment (7.9 out of 10), and survival (8.7 out of 10) in their community and endorsed moderate confidence in their scanning (6.3 out of 10) and interpreting abilities (5.6 out of 10). CONCLUSION Our research supports the feasibility of breast ultrasound training as part of a breast education program in low- and middle-income countries. Pre- and post-test results and observed proficiency indicate that training nonphysician providers is achievable; postsurvey responses indicate program acceptance, community-based ownership, and provider self-efficacy with ultrasound. Future work may show that breast ultrasound is viable for early detection where mammography is unavailable.
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Affiliation(s)
- Lindsay K. Dickerson
- Lindsay K. Dickerson, Johns Hopkins University School of Medicine; Anne F. Rositch, Johns Hopkins Bloomberg School of Public Health; Susan C. Harvey, Johns Hopkins Medical Institutions, Baltimore, MD; and Susan Lucas, Chris Hani Baragwanath Academic Hospital, University of Witwatersrand School of Medicine, Johannesburg, South Africa
| | - Anne F. Rositch
- Lindsay K. Dickerson, Johns Hopkins University School of Medicine; Anne F. Rositch, Johns Hopkins Bloomberg School of Public Health; Susan C. Harvey, Johns Hopkins Medical Institutions, Baltimore, MD; and Susan Lucas, Chris Hani Baragwanath Academic Hospital, University of Witwatersrand School of Medicine, Johannesburg, South Africa
| | - Susan Lucas
- Lindsay K. Dickerson, Johns Hopkins University School of Medicine; Anne F. Rositch, Johns Hopkins Bloomberg School of Public Health; Susan C. Harvey, Johns Hopkins Medical Institutions, Baltimore, MD; and Susan Lucas, Chris Hani Baragwanath Academic Hospital, University of Witwatersrand School of Medicine, Johannesburg, South Africa
| | - Susan C. Harvey
- Lindsay K. Dickerson, Johns Hopkins University School of Medicine; Anne F. Rositch, Johns Hopkins Bloomberg School of Public Health; Susan C. Harvey, Johns Hopkins Medical Institutions, Baltimore, MD; and Susan Lucas, Chris Hani Baragwanath Academic Hospital, University of Witwatersrand School of Medicine, Johannesburg, South Africa
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17
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First Clinical Experience Using Stereotactic Breast Biopsy Guided by 99mTc-Sestamibi. AJR Am J Roentgenol 2017; 209:1367-1373. [PMID: 28379735 DOI: 10.2214/ajr.17.18083] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
OBJECTIVE The purpose of this study is to evaluate a new device using molecular breast imaging (MBI) for 99mTc-sestamibi-guided stereotactic lesion localization as a complementary biopsy tool. MATERIALS AND METHODS From December 2012 to May 2016, a total of 38 consecutive women (mean age, 59 years; range, 41-77 years) underwent 99mTc-sestamibi-guided biopsy using a new MBI-based device and were retrospectively reviewed. The biopsy modality used five steps: stereotactic localization of the 99mTc-sestamibi-avid lesion, calculation of coordinates of the lesion location using dedicated software, placement of the needle, verification of the correct needle position, and tissue sampling with a vacuum-assisted device followed by placement of a radiologic marker at the biopsy site and ex vivo measurement of the biopsy specimens. RESULTS The procedure was technically successful in all 38 lesions. In all cases, biopsy samples were radioactive and adequate for histopathologic analysis. Nineteen lesions (50%) were found to be malignant, and the remaining lesions were found to be benign. The mean procedure time was 71 minutes (range, 44-112 minutes). The radiologic marker was successfully deployed in 37 lesions (97%). Two hematomas and three vasovagal reactions were observed. CONCLUSION Technetium-99m sestamibi-guided biopsy performed using a dedicated MBI-based device is technically feasible and represents a valuable complementary biopsy tool in breast lesion diagnosis.
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Breast Radiation Dose With CESM Compared With 2D FFDM and 3D Tomosynthesis Mammography. AJR Am J Roentgenol 2017; 208:362-372. [DOI: 10.2214/ajr.16.16743] [Citation(s) in RCA: 68] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
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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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Ng KH, Lau S. Vision 20/20: Mammographic breast density and its clinical applications. Med Phys 2015; 42:7059-77. [PMID: 26632060 DOI: 10.1118/1.4935141] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Affiliation(s)
- Kwan-Hoong Ng
- Department of Biomedical Imaging and University of Malaya Research Imaging Centre, Faculty of Medicine, University of Malaya, 50603 Kuala Lumpur, Malaysia
| | - Susie Lau
- Department of Biomedical Imaging and University of Malaya Research Imaging Centre, Faculty of Medicine, University of Malaya, 50603 Kuala Lumpur, Malaysia
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