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Kapetas P, Aggarwal R, Altuwayjiri B, Pinker K, Clauser P, Helbich TH, Baltzer PAT. A model combining BI-RADS® descriptors from pre-treatment B-mode breast ultrasound with clinicopathological tumor features shows promise in the prediction of residual disease after neoadjuvant chemotherapy. Eur J Radiol 2024; 178:111649. [PMID: 39094464 DOI: 10.1016/j.ejrad.2024.111649] [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: 06/04/2024] [Revised: 07/23/2024] [Accepted: 07/24/2024] [Indexed: 08/04/2024]
Abstract
PURPOSE To create a simple model using standard BI-RADS® descriptors from pre-treatment B-mode ultrasound (US) combined with clinicopathological tumor features, and to assess the potential of the model to predict the presence of residual tumor after neoadjuvant chemotherapy (NAC) in breast cancer (BC) patients. METHOD 245 female BC patients receiving NAC between January 2017 and December 2019 were included in this retrospective study. Two breast imaging fellows independently evaluated representative B-mode tumor images from baseline US. Additional clinicopathological tumor features were retrieved. The dataset was split into 170 training and 83 validation cases. Logistic regression was used in the training set to identify independent predictors of residual disease post NAC and to create a model, whose performance was evaluated by ROC curve analysis in the validation set. The reference standard was postoperative histology to determine the absence (pathological complete response, pCR) or presence (non-pCR) of residual invasive tumor in the breast or axillary lymph nodes. RESULTS 100 patients (40.8%) achieved pCR. Logistic regression demonstrated that tumor size, microlobulated margin, spiculated margin, the presence of calcifications, the presence of edema, HER2-positive molecular subtype, and triple-negative molecular subtype were independent predictors of residual disease. A model using these parameters demonstrated an area under the ROC curve of 0.873 in the training and 0.720 in the validation set for the prediction of residual tumor post NAC. CONCLUSIONS A simple model combining standard BI-RADS® descriptors from pre-treatment B-mode breast US with clinicopathological tumor features predicts the presence of residual disease after NAC.
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Affiliation(s)
- Panagiotis Kapetas
- Department of Biomedical Imaging and Image-guided treatment, Medical University of Vienna, Waehringer Guertel 18-20, 1090 Vienna, Austria; Breast Imaging Service, Department of Radiology, Memorial Sloan Kettering Cancer Center, 300 E 66th St, New York, NY 10065, USA.
| | - Reena Aggarwal
- University Hospitals of Leicester, NHS Trust, LE1 5WW Leicester, Leicestershire, United Kingdom.
| | | | - Katja Pinker
- Breast Imaging Service, Department of Radiology, Memorial Sloan Kettering Cancer Center, 300 E 66th St, New York, NY 10065, USA.
| | - Paola Clauser
- Department of Biomedical Imaging and Image-guided treatment, Medical University of Vienna, Waehringer Guertel 18-20, 1090 Vienna, Austria.
| | - Thomas H Helbich
- Department of Biomedical Imaging and Image-guided treatment, Medical University of Vienna, Waehringer Guertel 18-20, 1090 Vienna, Austria.
| | - Pascal A T Baltzer
- Department of Biomedical Imaging and Image-guided treatment, Medical University of Vienna, Waehringer Guertel 18-20, 1090 Vienna, Austria.
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Burciu OM, Sas I, Popoiu TA, Merce AG, Moleriu L, Cobec IM. Correlations of Imaging and Therapy in Breast Cancer Based on Molecular Patterns: An Important Issue in the Diagnosis of Breast Cancer. Int J Mol Sci 2024; 25:8506. [PMID: 39126074 PMCID: PMC11312504 DOI: 10.3390/ijms25158506] [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: 06/08/2024] [Revised: 07/26/2024] [Accepted: 08/02/2024] [Indexed: 08/12/2024] Open
Abstract
Breast cancer is a global health issue affecting countries worldwide, imposing a significant economic burden due to expensive treatments and medical procedures, given the increasing incidence. In this review, our focus is on exploring the distinct imaging features of known molecular subtypes of breast cancer, underlining correlations observed in clinical practice and reported in recent studies. The imaging investigations used for assessment include screening modalities such as mammography and ultrasonography, as well as more complex investigations like MRI, which offers high sensitivity for loco-regional evaluation, and PET, which determines tumor metabolic activity using radioactive tracers. The purpose of this review is to provide a better understanding as well as a revision of the imaging differences exhibited by the molecular subtypes and histopathological types of breast cancer.
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Affiliation(s)
- Oana Maria Burciu
- Doctoral School, Faculty of Medicine, “Victor Babes” University of Medicine and Pharmacy Timisoara, 300041 Timisoara, Romania
- Department of Functional Sciences, Medical Informatics and Biostatistics Discipline, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania
| | - Ioan Sas
- Department of Obstetrics and Gynecology, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania
| | - Tudor-Alexandru Popoiu
- Department of Functional Sciences, Medical Informatics and Biostatistics Discipline, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania
| | - Adrian-Grigore Merce
- Department of Cardiology, Institute of Cardiovascular Diseases, 300310 Timisoara, Romania
| | - Lavinia Moleriu
- Department of Functional Sciences, Medical Informatics and Biostatistics Discipline, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania
| | - Ionut Marcel Cobec
- Clinic of Obstetrics and Gynecology, Klinikum Freudenstadt, 72250 Freudenstadt, Germany
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Golan O, Khatib M, Menes TS, Freitas VAR, Kessner R, Neeman R, Mauda-Havakuk M, Mercer D, Amitai Y. Pushing the envelope in breast conserving surgery - is multiple-wire localization (3 or more wires) associated with increased risk of compromised margins and long-term recurrence? Eur J Radiol 2024; 176:111511. [PMID: 38776805 DOI: 10.1016/j.ejrad.2024.111511] [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: 03/04/2024] [Revised: 05/07/2024] [Accepted: 05/13/2024] [Indexed: 05/25/2024]
Abstract
INTRODUCTION In the last two decades there has been a paradigm shift with breast conserving surgery (BCS) being applied to larger and more extensive breast malignancies. The aim of this study is to examine the success of BCS being performed in patients with extensive breast malignancies requiring at least 3 wires for localization, and to assess possible risk factors for failure. MATERIALS AND METHODS We performed a retrospective single center review of 232 patients who underwent BCS between 2010 and 2020 requiring at least 3 wires for localization, thus comprising the multi-wire group (MWG). The cohort included a control group of 232 single-wire BCS patients (SWG) chronologically matched with the MWG. Patients with either invasive malignancy or ductal carcinoma in situ (DCIS) were included in the study. Clinical, radiological, and pathological data was collected. Proportions of positive surgical margins, re-lumpectomies and conversion to mastectomy were calculated. Survival analysis for locoregional and distant recurrence was performed. RESULTS Women in the MWG were younger (mean age 57 vs. 63.1, P < 0.001), had larger tumor size (mean size 5.1 cm vs. 1.3 cm, p < 0.001), a higher prevalence of calcifications on mammograms (72 % vs. 17 %, P < 0.001), a higher proportion of positive lymph nodes (75 % vs. 45 %, P = 0.019), and an elevated incidence of a ductal carcinoma in situ (DCIS) component (72 % vs. 38 %, P < 0.001). Positive surgical margins were higher in the MWG (13 % vs 7 %, P = 0.03), which lead to higher proportions of re-lumpectomies or conversion to mastectomies (7 % vs 4 %, P = 0.17). On multivariate analysis of the entire cohort, patients with positive margins were more likely to have a DCIS component (77 % vs 53 %, P = 0.001), an infiltrating lobular carcinoma (ILC) component (15 % vs 9 %, P = 0.013), and positive ER hormonal status (94 % vs 85 %, p = 0.05). The number of wires was not an independent predictor of positive margins. On long-term analysis, the locoregional disease-free survival was similar between the SWG and MWG (P = 0.1). However, the MWG showed higher rates of distant metastasis (12 % vs 4 %, P = 0.006). CONCLUSIONS BCS requiring 3 or more wires is associated with a slightly higher proportion of positive margins. The increased risk of positive margins appears to be related to the type of tumor (DCIS component, ILC component and ER status) rather than to the number of wires. The number of wires does not significantly impact locoregional disease-free survival.
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Affiliation(s)
- Orit Golan
- Tel Aviv University, Sackler School of Medicine, Department of Radiology, Sourasky Medical Center, Tel Aviv 6423906, Isreal.
| | - Marian Khatib
- Tel Aviv University, Sackler School of Medicine, Department of Surgery, Sourasky Medical Center, Tel Aviv 6423906, Isreal.
| | - Tehillah S Menes
- Tel Aviv University, Sackler School of Medicine, Department of Surgery, Chaim Sheba Medical Center, Tel Hashomer 52621, Israel.
| | - Vivianne A R Freitas
- University of Toronto, Joint Department of Medical Imaging - University Health Network, Sinai Health System, Women's College Hospital, 610 University Avenue - M5G 2M9, Toronto, Ontario, Canada.
| | - Rivka Kessner
- Tel Aviv University, Sackler School of Medicine, Department of Radiology, Sourasky Medical Center, Tel Aviv 6423906, Isreal.
| | - Rina Neeman
- Tel Aviv University, Sackler School of Medicine, Department of Radiology, Sourasky Medical Center, Tel Aviv 6423906, Isreal.
| | - Michal Mauda-Havakuk
- Tel Aviv University, Sackler School of Medicine, Department of Radiology, Sourasky Medical Center, Tel Aviv 6423906, Isreal
| | - Diego Mercer
- Tel Aviv University, Sackler School of Medicine, Department of Radiology, Sourasky Medical Center, Tel Aviv 6423906, Isreal.
| | - Yoav Amitai
- Tel Aviv University, Sackler School of Medicine, Department of Radiology, Sourasky Medical Center, Tel Aviv 6423906, Isreal.
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Tittmann J, Ágh T, Erdősi D, Csanády B, Kövér E, Zemplényi A, Kovács S, Vokó Z. Breast cancer stage and molecular subtype distribution: real-world insights from a regional oncological center in Hungary. Discov Oncol 2024; 15:240. [PMID: 38907840 PMCID: PMC11193705 DOI: 10.1007/s12672-024-01096-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/05/2023] [Accepted: 06/12/2024] [Indexed: 06/24/2024] Open
Abstract
OBJECTIVE Examining the distribution of breast cancer (BC) stage and molecular subtype among women aged below (< 45 years), within (45-65 years), and above (> 65 years) the recommended screening age range helps to understand the screening program's characteristics and contributes to enhancing the effectiveness of BC screening programs. METHODS In this retrospective study, female patients with newly diagnosed BC from 2010 to 2020 were identified. The distribution of cases in terms of TNM stages, severity classes, and subtypes was analysed according to age groups. RESULTS A total of 3282 women diagnosed with BC were included in the analysis. Among these cases 51.4% were detected outside the screening age group, and these were characterized by a higher TNM stage compared to those diagnosed within the screening age band. We observed significantly higher relative frequency of advanced BC in the older age group compared to both the screening age population and women younger than 45 years (14.9% vs. 8.7% and 7.7%, P < 0.001). HR-/HER2- and HER+ tumours were relatively more frequent among women under age 45 years (HR-/HER2-: 23.6%, HER2+: 20.5%) compared to those within the screening age range (HR-/HER2-: 13.4%, HER2+: 13.9%) and the older age group (HR-/HER2-: 10.4%, HER2+: 11.5%). CONCLUSIONS The findings of our study shed light on potential areas for the improvement of BC screening programs (e.g., extending screening age group, adjusting screening frequency based on molecular subtype risk status) in Hungary and internationally, as well.
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Affiliation(s)
- Judit Tittmann
- Center for Health Technology Assessment, Semmelweis University, Üllői Str 25, Budapest, 1091, Hungary.
- Center for Health Technology Assessment and Pharmacoeconomic Research, University of Pécs, Pécs, Hungary.
| | - Tamás Ágh
- Center for Health Technology Assessment and Pharmacoeconomic Research, University of Pécs, Pécs, Hungary
- Syreon Research Institute, Budapest, Hungary
| | - Dalma Erdősi
- Center for Health Technology Assessment, Semmelweis University, Üllői Str 25, Budapest, 1091, Hungary
- Center for Health Technology Assessment and Pharmacoeconomic Research, University of Pécs, Pécs, Hungary
| | - Bettina Csanády
- Center for Health Technology Assessment and Pharmacoeconomic Research, University of Pécs, Pécs, Hungary
| | - Erika Kövér
- Department of Oncotherapy, Medical School and Clinical Center, University of Pécs, Pécs, Hungary
| | - Antal Zemplényi
- Center for Health Technology Assessment and Pharmacoeconomic Research, University of Pécs, Pécs, Hungary
- Syreon Research Institute, Budapest, Hungary
| | - Sándor Kovács
- Center for Health Technology Assessment and Pharmacoeconomic Research, University of Pécs, Pécs, Hungary
- Syreon Research Institute, Budapest, Hungary
| | - Zoltán Vokó
- Center for Health Technology Assessment, Semmelweis University, Üllői Str 25, Budapest, 1091, Hungary
- Syreon Research Institute, Budapest, Hungary
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Cicciarelli F, Guiducci E, Galati F, Moffa G, Ricci P, Pediconi F, Rizzo V. Digital Mammography (DM) vs. Dynamic Contrast Enhancement-Magnetic Resonance Imaging (DCE-MRI) in Microcalcifications Assessment: A Radiological-Pathological Comparison. Diagnostics (Basel) 2024; 14:1063. [PMID: 38893590 PMCID: PMC11172046 DOI: 10.3390/diagnostics14111063] [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: 03/30/2024] [Revised: 05/13/2024] [Accepted: 05/14/2024] [Indexed: 06/21/2024] Open
Abstract
The aim of this study was to compare the characteristics of breast microcalcification on digital mammography (DM) with the histological and molecular subtypes of breast cancer and to identify the predictive value of DM and dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) in assessing microcalcifications for radiologic-pathologic correlation. We relied on our prospectively maintained database of suspicious microcalcifications on DM, from which data were retrospectively collected between January 2020 and April 2023. We enrolled 158 patients, all of whom were subjected to biopsy. Additionally, 63 patients underwent breast DCE-MRI. Microcalcifications with a linear branched morphology were correlated with malignancies (p < 0.001), among which an association was highlighted between triple negatives (TNs) and segmental distribution (p < 0.001). Amorphous calcifications were correlated with atypical ductal hyperplasia (ADH) (p = 0.013), coarse heterogeneous (p < 0.001), and fine-pleomorphic (p = 0.008) with atypical lobular hyperplasia (ALH) and fine pleomorphic (p = 0.009) with flat epithelial atypia (FEA). Regarding DCE-MRI, no statistical significance was observed between non-mass lesions and ductal carcinoma in situ (DCIS). Concerning mass lesions, three were identified as DCIS and five as invasive ductal carcinoma (IDC). In conclusion, microcalcifications assessed in DM exhibit promising predictive characteristics concerning breast lesion subtypes, leading to a reduction in diagnostic times and further examination costs, thereby enhancing the clinical management of patients.
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Affiliation(s)
- Federica Cicciarelli
- Department of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, 00161 Rome, Italy; (F.C.); (F.G.); (G.M.); (P.R.); (F.P.); (V.R.)
| | - Elisa Guiducci
- Department of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, 00161 Rome, Italy; (F.C.); (F.G.); (G.M.); (P.R.); (F.P.); (V.R.)
| | - Francesca Galati
- Department of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, 00161 Rome, Italy; (F.C.); (F.G.); (G.M.); (P.R.); (F.P.); (V.R.)
| | - Giuliana Moffa
- Department of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, 00161 Rome, Italy; (F.C.); (F.G.); (G.M.); (P.R.); (F.P.); (V.R.)
| | - Paolo Ricci
- Department of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, 00161 Rome, Italy; (F.C.); (F.G.); (G.M.); (P.R.); (F.P.); (V.R.)
- Unit of Emergency Radiology, Policlinico Umberto I, Sapienza University of Rome, Viale del Policlinico 155, 00161 Rome, Italy
| | - Federica Pediconi
- Department of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, 00161 Rome, Italy; (F.C.); (F.G.); (G.M.); (P.R.); (F.P.); (V.R.)
| | - Veronica Rizzo
- Department of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, 00161 Rome, Italy; (F.C.); (F.G.); (G.M.); (P.R.); (F.P.); (V.R.)
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Varzaru VB, Eftenoiu AE, Vlad DC, Vlad CS, Moatar AE, Popescu R, Cobec IM. The Influence of Tumor-Specific Markers in Breast Cancer on Other Blood Parameters. Life (Basel) 2024; 14:458. [PMID: 38672729 PMCID: PMC11051489 DOI: 10.3390/life14040458] [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: 02/05/2024] [Revised: 03/17/2024] [Accepted: 03/27/2024] [Indexed: 04/28/2024] Open
Abstract
BACKGROUND Breast cancer is the most frequently diagnosed cancer among women, responsible for the highest number of cancer-related deaths worldwide. There is limited data available related to serum tumor markers in breast cancer and other blood parameters or other glandular laboratory parameters. This study aims to evaluate the correlation of tumor-specific markers for breast cancer with other blood parameters and how these correlations could impact clinical management. MATERIAL AND METHOD This retrospective study represents a data analysis from 1 January 2020 to 31 May 2023, in the County Hospital of Timisoara, Romania. We reviewed all the cases where, in the laboratory analyses, the serum tumor specific biomarkers for breast cancer were analyzed. RESULTS A statistical analysis was performed in order to identify a possible relationship between CA 15-3 and the various biomarkers and blood parameters included in the present study. Values were classified according to reference ranges. The tests revealed no statistically significant associations between CA 15-3 values and the levels of CA125 (χ2(1) = 1.852, p = 0.174), CEA (χ2(1) = 1.139, p = 0.286), AFP (Fisher's exact test, p = 0.341), fT4 (Fisher's exact test, p = 0.310), TSH (Fisher's exact test, p = 0.177), or PTH (Fisher's exact test, p = 0.650). CONCLUSION The findings indicate a lack of strong correlation between CA 15-3 and CA125, CEA, AFP, thyroid function markers, or PTH within this cohort.
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Affiliation(s)
- Vlad Bogdan Varzaru
- Doctoral School, Faculty of Medicine, “Victor Babes” University of Medicine and Pharmacy Timisoara, 300041 Timisoara, Romania
- ANAPATMOL Research Center, Faculty of Medicine, “Victor Babes” University of Medicine and Pharmacy Timisoara, 300041 Timisoara, Romania
| | - Anca-Elena Eftenoiu
- Department of Medical Genetics, “Carol Davila” University of Medicine and Pharmacy Bucharest, 050474 Bucharest, Romania
| | - Daliborca Cristina Vlad
- Department of Pharmacology, Faculty of Medicine, “Victor Babes” University of Medicine and Pharmacy Timisoara, 300041 Timisoara, Romania
- Emergency County Clinical Hospital Pius Brinzeu Timisoara, 300723 Timisoara, Romania
| | - Cristian Sebastian Vlad
- Department of Pharmacology, Faculty of Medicine, “Victor Babes” University of Medicine and Pharmacy Timisoara, 300041 Timisoara, Romania
| | - Aurica Elisabeta Moatar
- ANAPATMOL Research Center, Faculty of Medicine, “Victor Babes” University of Medicine and Pharmacy Timisoara, 300041 Timisoara, Romania
- Clinic of Internal Medicine-Cardiology, Klinikum Freudenstadt, 72250 Freudenstadt, Germany
| | - Roxana Popescu
- ANAPATMOL Research Center, Faculty of Medicine, “Victor Babes” University of Medicine and Pharmacy Timisoara, 300041 Timisoara, Romania
- Emergency County Clinical Hospital Pius Brinzeu Timisoara, 300723 Timisoara, Romania
| | - Ionut Marcel Cobec
- ANAPATMOL Research Center, Faculty of Medicine, “Victor Babes” University of Medicine and Pharmacy Timisoara, 300041 Timisoara, Romania
- Clinic of Obstetrics and Gynecology, Klinikum Freudenstadt, 72250 Freudenstadt, Germany
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Gamble LA, McClelland PH, Teke ME, Samaranayake SG, Juneau P, Famiglietti AL, Blakely AM, Redd B, Davis JL. Defining features of hereditary lobular breast cancer due to CDH1 with magnetic resonance imaging and tumor characteristics. NPJ Breast Cancer 2023; 9:77. [PMID: 37758801 PMCID: PMC10533560 DOI: 10.1038/s41523-023-00585-4] [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: 01/30/2023] [Accepted: 09/15/2023] [Indexed: 09/29/2023] Open
Abstract
Women with germline pathogenic variants in CDH1, which encodes E-cadherin protein, are at increased lifetime risk of invasive lobular carcinoma (ILC). The associated tumor characteristics of hereditary lobular breast carcinoma (HLBC) in this high-risk population are not well-known. A single-center prospective cohort study was conducted to determine the imaging and pathologic features of HLBC compared to population-based ILC using Surveillance, Epidemiology, and End Results (SEER) data. One hundred fifty-eight women with CDH1 variants were evaluated, of whom 48 (30%) also had an ILC diagnosis. The median age at CDH1 diagnosis was 45 years [interquartile range, IQR 34-57 years] whereas the median age at diagnosis of CDH1 with concomitant ILC (HLBC) was 53 [IQR 45-62] years. Among women with HLBC, 83% (40/48) were identified with CDH1 mutation after diagnosis of ILC. Among 76 women (48%, 76/158) undergoing surveillance for ILC with breast magnetic resonance imaging (MRI), 29% (22/76) had an abnormal MRI result with available biopsy data for comparison. MRI detected ILC in 7 out of 8 biopsy-confirmed cases, corresponding with high sensitivity (88%), specificity (75%), and negative predictive value (98%); however, false-positive and false-discovery rates were elevated also (25% and 68%, respectively). HLBC was most frequently diagnosed at age 40-49 years (44%, 21/48), significantly younger than the common age of diagnosis of ILC in SEER general population data (most frequent age range 60-69 years, 28%; p < 0.001). HLBC tumors were smaller than SEER-documented ILC tumors (median 1.40 vs. 2.00 cm; p = 0.002) and had a higher incidence of background lobular carcinoma in situ (88% vs. 1%; p < 0.001) as well as progesterone receptor positivity (95% vs. 81%, p = 0.032). These findings suggest that HLBC is often detected via conventional screening methods as an early-stage hormone receptor-positive tumor, thus the clinical benefit of intensive screening with MRI may be limited to a subset of women with germline CDH1 variants.
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Affiliation(s)
- Lauren A Gamble
- Surgical Oncology Program, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Paul H McClelland
- Surgical Oncology Program, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Martha E Teke
- Surgical Oncology Program, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Sarah G Samaranayake
- Surgical Oncology Program, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Paul Juneau
- Division of Library Services, Office of Research Services, National Institutes of Health, Bethesda, MD, USA
| | - Amber L Famiglietti
- Surgical Oncology Program, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Andrew M Blakely
- Surgical Oncology Program, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Bernadette Redd
- Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, MD, USA
| | - Jeremy L Davis
- Surgical Oncology Program, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
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Classifying Breast Cancer Metastasis Based on Imaging of Tumor Primary and Tumor Biology. Diagnostics (Basel) 2023; 13:diagnostics13030437. [PMID: 36766541 PMCID: PMC9914718 DOI: 10.3390/diagnostics13030437] [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: 11/24/2022] [Revised: 01/14/2023] [Accepted: 01/21/2023] [Indexed: 01/27/2023] Open
Abstract
The molecular classification of breast cancer has allowed for a better understanding of both prognosis and treatment of breast cancer. Imaging of the different molecular subtypes has revealed that biologically different tumors often exhibit typical features in mammography, ultrasound, and MRI. Here, we introduce the molecular classification of breast cancer and review the typical imaging features of each subtype, examining the predictive value of imaging with respect to distant metastases.
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