Advances and Future Directions in Molecular Breast Imaging
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Breast Cancer Facts Top 10 Cancers by Rates of Cancer Deaths All Types of Cancer, United States, 2018 +250,000 New cases of breast cancer each year +42,000 Female breast cancer deaths each year 28% 5-year survival rate for metastatic BC Rate per 100,000 people U.S. Cancer Statistics Working Group. U.S. Cancer Statistics Data Visualizations Tool, based on 2020 submission data (1999-2018): U.S. Department of Health and Human Services, Centers for Disease Control and Prevention and National Cancer Institute; www.cdc.gov/cancer/dataviz, released in June 2021.
What is Molecular Breast Imaging? Conventional systems Breast-specific Scintimammography gamma imaging NM Breast-dedicated Modalities CZT-based PEM/PET gamma camera
Molecular Breast Imaging Protocol Indications Patient preparation: • Preoperative Staging in Newly Diagnosed • Follicular phase of the menstrual cycle preferred, Breast Cancer between days 2 and 12 • Fast for 3 hours prior to the study • Evaluation of Response to Neoadjuvant • Warming blanket on arrival Chemotherapy • Detection of Local Breast Cancer Exam protocol: Recurrence • 6–8 mCi (222–296 MBq) of 99mTc-sestamibi intravenously • Breast Cancer Screening • Light breast compression (about 5 lbs [2.3 kg]) • 7 minutes per view, total of 28 minutes • MBI as Adjunct to Conventional Breast • Eight images in the craniocaudal (CC) and mediolateral Imaging for Problem Solving in oblique (MLO) views Indeterminate Cases
Background uptake Molecular Breast Imaging Findings and Reporting Reference to screening mammogram Background uptake intensity • Mild, moderate, severe Lesion Uptake intensity Hruska, C.B., et al. Breast Cancer Res 20, 46 (2018). • Compared to subcutaneous fat • Mild, moderate, severe Mass uptake Nonmass uptake • Distribution • Symmetry Associated findings • Nipple, axilla, vessel uptake Conners AL, et al. AJR Am J Roentgenol. 2012. Mass like uptake Non mass like uptake
Molecular Breast Imaging Summary Advantages Limitations • Well-tolerated by patients • Requires injection • Increased breast cancer detection rate in women • Long scanning time with dense breast tissue • May need cross-over expertise in nuclear medicine • Safe radiation level and breast imaging • Inexpensive • Guided tissue biopsy available for suspicious Future lesions identified on MBI • Providing prognostic information • Theranostics
What is PEM/dedicated breast PET? Whole body PET CT limitations in breast cancer: • Limited assessment of primary lesions • Low nuclear grade • Invasive lobular carcinoma • Ductal carcinoma in situ • Small tumors (
PEM/dedicated breast PET Indications • Currently, no ACR or SNMI clinical practice parameters Initial staging PEM vs MRI: Berg et al. N=388: • PEM comparable sensitivity, greater specificity, and similar additional disease detection Patient with biopsy proven invasive mammary carcinoma (51% for PEM and 60% for MRI) in which MRI failed to demonstrate index lesion. On Schilling et al. N=208: PEM the focal uptake corresponding to the lesion is • PEM and MRI comparable sensitivity and specificity demonstrated. Schilling K et al. Eur J Nucl Med Mol Imaging. 2011. Monitoring response to neoadjuvant chemotherapy • Identify non responders, surgical planning • Distinguishing recurrent carcinoma from scar Monitoring response to neoadjuvant chemotherapy in different breast cancer subtypes. Soldevilla-Gallardo I et al. Am J Nucl Med Mol Imaging. 2018; 8(5): 341–350.
F18 estradiol Whole Body PET-CT Indications • Critical role in tumor heterogeneity • Defining etiology of endocrine resistance • Problem-solving • Staging or restaging low metabolic rate breast cancer Interfering medications • ER modulator • ER down regulator-may reduce detection of ER+ Protocol Improved depiction of low metabolic breast tumor subtypes. Ulaner et al: • 3-6 mCi FES injection Comparison between F18 estradiol and F18 FDG for lobular carcinoma • 45-60 min uptake time showing improved depiction of metastatic disease with F18 estradiol. • Injection away from site of known primary breast cancer Possible benefit of combined FDG and F18 estradiol (FES): • Include all known lesions in the FOV Bottoni et al: • Single assessment could not predict overall disease-free survival Limitations • Only FDG correlated with progression free survival (lower • High liver uptake interfere with hepatic metastases assessment receptor expression, higher metabolic rate = lower degree of • Bowel excretion cellular differentiation • Less brain uptake • FES/FDG ratio correlated with overall survival D’Huyvetter M et al. Journal of Nuclear Medicine August 2021
Radioimmunotherapy • Isotopes conjugated to mAb • Target cancerous cells Principles • Protect healthy cells • Minimally invasive • Short treatment Adapted from BioRender.com D’Huyvetter M et al. 2021: Phase 1 clinical trial of 131I-GMIB-anti-HER2-VHH1 • Safe and stable after administration, with rapid clearance in healthy volunteers • Tracer accumulated in metastatic sites of patients with stage IV HER2-positive breast cancer • Patients who have progressed on trastuzumab, pertuzumab, or trastuzumab emtansine, given its different mode of action D’Huyvetter M et al. Journal of Nuclear Medicine August 2021
AI in Molecular Breast Imaging – Classifying BPU • Artificial intelligence based techniques such as machine learning and convolutional neural networks, have made headway into different subtypes of breast imaging, most notably in mammography, and CT. • The applications to molecular breast imaging are relatively understudied but show great promise. • One study completed in 2021 showed that CNN’s could be applied to automatically and accurately characterize the background parenchymal uptake (BPU) of breast tissue, an independent marker for malignancy risk. This correlates with tissue density seen on mammograph • This objectivizes BPU to minimize inter-observer and intra-observer variability. It also provides objective characterization of BPU in patients undergoing tamoxifen or aromatase inhibitors. • Further investigations will look into how marked BPU uptake differs from radiotracer uptake as in a tumor. Carter RE, Attia ZI, Geske JR, Conners AL, Whaley DH, Hunt KN, O'Connor MK, Rhodes DJ, Hruska CB. Classification of Background Parenchymal Uptake on Molecular Breast Imaging Using a Convolutional Neural Network. JCO Clin Cancer Inform. 2019 Feb;3:1-11. doi: 10.1200/CCI.18.00133. PMID: 30807208; PMCID: PMC6446086. D’Huyvetter M et al. Journal of Nuclear Medicine August 2021
Radiomics based on 18F-FDG PET/CT to differentiate breast carcinoma from lymphoma • In one study published in 2021, standardized uptake values were combined with radiomic features obtained from 18F- FDG PET/CT to accurately classify breast tumors into carcinoma or lymphoma. • When combined with clinical information, the model was able to accurately characterize with AUC of 0.867 and 0.806. As an example of the findings in this paper, a radiomics-based model was able to differentiate between (A) breast lymphoma and (B) breast carcinoma which otherwise appear indistinguishable based on traditional features on CT and PET/CT. Ou X, Zhang J, Wang J, et al. Radiomics based on 18 F‐FDG PET/CT could differentiate breast carcinoma from breast lymphoma using machine‐learning approach: A preliminary study. Cancer Medicine. 2019;9(2):496-506. doi:10.1002/cam4.2711 D’Huyvetter M et al. Journal of Nuclear Medicine August 2021
Summary • Breast dedicated molecular imaging provides safe, inexpensive breast cancer detection rate in women with dense breast tissue • Guided tissue biopsy available or under development for suspicious lesions identified on MBI, PEM, and db-PET systems • Breast dedicated modalities may require cross over expertise or nuclear medicine and breast imager radiologists • Continued research looking at noninvasive prognostic tools that are well-tolerated by patients and account for tumor heterogeneity • Great potential of radionuclides and radiopharmaceuticals for breast cancer treatment with promising alternative for HER2 positive patients with progression after trastuzumab treatment
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