1
|
Jannusch K, Umutlu L, Kirchner J, Bruckmann NM, Morawitz J, Herrmann K, Fendler WP, Bittner AK, Hoffmann O, Mohrmann S, Ruckhäberle E, Stuschke M, Schmid W, Giesel F, Häberle L, Esposito I, Budach W, Grueneisen J, Matuschek C, Kowall B, Stang A, Antoch G, Buchbender C. Impact of 18F-FDG PET/MRI on Therapeutic Management of Women with Newly Diagnosed Breast Cancer: Results from a Prospective Double-Center Trial. J Nucl Med 2024; 65:1855-1861. [PMID: 39389629 DOI: 10.2967/jnumed.124.268065] [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: 05/14/2024] [Accepted: 08/08/2024] [Indexed: 10/12/2024] Open
Abstract
Our rationale was to investigate whether 18F-FDG PET/MRI in addition to (guideline-recommended) conventional staging leads to changes in therapeutic management in patients with newly diagnosed breast cancer and compare the diagnostic accuracy of 18F-FDG PET/MRI with that of conventional staging for determining the Union for International Cancer Control (UICC) stage. Methods: In this prospective, double-center study, 208 women with newly diagnosed, therapy-naïve invasive breast cancer were enrolled in accordance with the inclusion criteria. All patients underwent guideline-recommended conventional staging and whole-body 18F-FDG PET/MRI with a dedicated breast examination. A multidisciplinary tumor board served to determine 2 different therapy recommendations for each patient, one based on conventional staging alone and another based on combined assessment of conventional staging and 18F-FDG PET/MRI examinations. Major changes in therapy recommendations and differences between the conventional staging algorithm and 18F-FDG PET/MRI for determining the correct UICC stage were reported and evaluated. Results: Major changes in therapeutic management based on combined assessment of conventional staging and 18F-FDG PET/MRI were detected in 5 of 208 patients, amounting to changes in therapeutic management in 2.4% (95% CI, 0.78%-5.2%) of the study population. In determining the UICC stage, the guideline-based staging algorithm and 18F-FDG PET/MRI were concordant in 135 of 208 (64.9%; 95% CI, 58%-71.4%) patients. The conventional guideline algorithm correctly determined the UICC stage in 130 of 208 (62.5%; 95% CI, 55.5%-69.1%) patients, and 18F-FDG PET/MRI correctly determined the UICC stage in 170 of 208 (81.9%; 95% CI, 75.8%-86.7%) patients. Conclusion: Despite the diagnostic superiority of 18F-FDG PET/MRI over conventional staging in determining the correct UICC stage, the current (guideline-recommended) conventional staging algorithm is sufficient for adequate therapeutic management of patients with newly diagnosed breast cancer, and 18F-FDG PET/MRI does not have an impact on patient management.
Collapse
Affiliation(s)
- Kai Jannusch
- Department of Diagnostic and Interventional Radiology, Medical Faculty, University of Dusseldorf, Dusseldorf, Germany
| | - Lale Umutlu
- Department of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Julian Kirchner
- Department of Diagnostic and Interventional Radiology, Medical Faculty, University of Dusseldorf, Dusseldorf, Germany;
| | - Nils-Martin Bruckmann
- Department of Diagnostic and Interventional Radiology, Medical Faculty, University of Dusseldorf, Dusseldorf, Germany
| | - Janna Morawitz
- Department of Diagnostic and Interventional Radiology, Medical Faculty, University of Dusseldorf, Dusseldorf, Germany
| | - Ken Herrmann
- Department of Nuclear Medicine, University of Duisburg-Essen, and German Cancer Consortium-University Hospital Essen, Essen, Germany
| | - Wolfgang Peter Fendler
- Department of Nuclear Medicine, University of Duisburg-Essen, and German Cancer Consortium-University Hospital Essen, Essen, Germany
| | - Ann-Kathrin Bittner
- Department of Gynecology and Obstetrics, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Oliver Hoffmann
- Department of Gynecology and Obstetrics, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Svjetlana Mohrmann
- Department of Obstetrics and Gynecology, Medical Faculty, University of Dusseldorf, Dusseldorf, Germany
| | - Eugen Ruckhäberle
- Department of Obstetrics and Gynecology, Medical Faculty, University of Dusseldorf, Dusseldorf, Germany
| | - Martin Stuschke
- Department of Radiation Oncology, West German Cancer Center, University of Duisburg-Essen Medical School, Essen, Germany
| | - Werner Schmid
- Institute of Pathology, University Hospital Essen, West German Cancer Center, University of Duisburg-Essen and German Cancer Consortium, Essen, Germany
| | - Frederik Giesel
- Department of Nuclear Medicine, Medical Faculty, University of Dusseldorf, Dusseldorf, Germany
| | - Lena Häberle
- Institute of Pathology, Medical Faculty, Heinrich Heine University and University Hospital Duesseldorf, Duesseldorf, Germany
| | - Irene Esposito
- Institute of Pathology, Medical Faculty, Heinrich Heine University and University Hospital Duesseldorf, Duesseldorf, Germany
| | - Wilfried Budach
- Department of Radiation Oncology, Heinrich Heine University, Dusseldorf, Germany; and
| | - Johannes Grueneisen
- Department of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Christiane Matuschek
- Department of Radiation Oncology, Heinrich Heine University, Dusseldorf, Germany; and
| | - Bernd Kowall
- Institute of Medical Informatics, Biometry, and Epidemiology, Medical Faculty, University of Duisburg-Essen, Germany
| | - Andreas Stang
- Institute of Medical Informatics, Biometry, and Epidemiology, Medical Faculty, University of Duisburg-Essen, Germany
| | - Gerald Antoch
- Department of Diagnostic and Interventional Radiology, Medical Faculty, University of Dusseldorf, Dusseldorf, Germany
| | - Christian Buchbender
- Department of Diagnostic and Interventional Radiology, Medical Faculty, University of Dusseldorf, Dusseldorf, Germany
| |
Collapse
|
2
|
Cao JQ, Surgeoner B, Manna M, Boileau JF, Gelmon KA, Brackstone M, Brezden-Masley C, Jerzak KJ, Prakash I, Sehdev S, Wong SM, Bouganim N, Cescon DW, Chia S, Dayes IS, Joy AA, Henning JW. Guidance for Canadian Breast Cancer Practice: National Consensus Recommendations for Clinical Staging of Patients Newly Diagnosed with Breast Cancer. Curr Oncol 2024; 31:7226-7243. [PMID: 39590163 PMCID: PMC11592626 DOI: 10.3390/curroncol31110533] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2024] [Revised: 11/05/2024] [Accepted: 11/12/2024] [Indexed: 11/28/2024] Open
Abstract
The accurate staging of breast cancer is fundamental for guiding treatment decisions and predicting patient outcomes. However, there can be considerable variation in routine clinical practice based on individual interpretation of guidelines and depending on the healthcare provider initially involved in working up patients newly diagnosed with breast cancer, ranging from primary care providers, triage nurses, surgeons, and/or oncologists. The optimal approach for clinical staging, particularly in asymptomatic patients presenting with intermediate-risk disease, remains a topic of dialogue among clinicians. Given this area of uncertainty, the Research Excellence, Active Leadership (REAL) Canadian Breast Cancer Alliance conducted a modified Delphi process to assess the level of agreement among Canadian expert clinicians on various staging recommendations. In total, 20 items were drafted covering staging based on biological status, the utilization of localization clips, both for the axilla during diagnosis and primary surgical site for margins and radiation therapy planning, and the use of advanced imaging for the investigation of distant metastases. Overall, the consensus threshold among all participants (i.e., ≥75% agreement) was reached in 20/20 items. Differences in clinical practice and recent findings from the literature are provided in the discussion. These consensus recommendations are meant to help standardize breast cancer staging practices in Canada, ensuring accurate diagnosis and optimal treatment planning.
Collapse
Affiliation(s)
- Jeffrey Q. Cao
- Arthur Child Comprehensive Cancer Centre, Calgary, AB T2N 5G2, Canada
| | | | - Mita Manna
- Saskatoon Cancer Centre, Saskatoon, SK S7N 4H4, Canada
| | | | - Karen A. Gelmon
- Department of Medical Oncology, University of British Columbia, Vancouver, BC V5Z 1M9, Canada
| | | | | | | | | | - Sandeep Sehdev
- The Ottawa Hospital Cancer Centre, Ottawa, ON K1H 8L6, Canada
| | | | | | - David W. Cescon
- Princess Margaret Cancer Centre, Toronto, ON M5G 2M9, Canada
| | - Stephen Chia
- BC Cancer—Vancouver, Vancouver, BC V5Z 4E6, Canada
| | - Ian S. Dayes
- Juravinski Cancer Center, McMaster University, Hamilton, ON L8V 5C2, Canada
| | | | | |
Collapse
|
3
|
Edmonds CE, O'Brien SR, McDonald ES, Mankoff DA, Pantel AR. PET Imaging of Breast Cancer: Current Applications and Future Directions. JOURNAL OF BREAST IMAGING 2024; 6:586-600. [PMID: 39401324 DOI: 10.1093/jbi/wbae053] [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: 04/23/2024] [Indexed: 11/07/2024]
Abstract
As molecular imaging use expands for patients with breast cancer, it is important for breast radiologists to have a basic understanding of molecular imaging, including PET. Although breast radiologists may not directly interpret such studies, basic knowledge of molecular imaging will enable the radiologist to better direct diagnostic workup of patients as well as discuss diagnostic imaging with the patient and other treating physicians. Several new tracers are now available to complement imaging glucose metabolism with FDG. Because it provides a noninvasive assessment of disease status across the whole body, PET offers specific advantages over tissue-based assays. Paired with targeted therapy, molecular imaging has the potential to guide personalized treatment of breast cancer, including guiding dosing during drug trials as well as predicting and assessing clinical response. This review discusses the current established applications of FDG, which remains the most widely used PET radiotracer for malignancy, including breast cancer, and highlights potential areas for expanded use based on recent research. It also summarizes research to date on the U.S. Food and Drug Administration (FDA)-approved PET tracer 16α-18F-fluoro-17β-estradiol (FES), which targets ER, including the current guidelines from the Society of Nuclear Medicine and Molecular Imaging on the appropriate use of FES-PET/CT for breast cancer as well as areas of active investigation for other potential applications. Finally, the review highlights several of the most promising novel PET tracers that are poised for clinical translation in the near future.
Collapse
Affiliation(s)
- Christine E Edmonds
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA
| | - Sophia R O'Brien
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA
| | - Elizabeth S McDonald
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA
| | - David A Mankoff
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA
| | - Austin R Pantel
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA
| |
Collapse
|
4
|
Shen F, Liu Q, Wang Y, Chen C, Ma H. Comparison of [ 18F] FDG PET/CT and [ 18F]FDG PET/MRI in the Detection of Distant Metastases in Breast Cancer: A Meta-Analysis. Clin Breast Cancer 2024:S1526-8209(24)00272-6. [PMID: 39438190 DOI: 10.1016/j.clbc.2024.09.015] [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: 03/04/2024] [Revised: 09/03/2024] [Accepted: 09/20/2024] [Indexed: 10/25/2024]
Abstract
PURPOSE This meta-analysis aims to assess and compare the diagnostic effectiveness of [18F] FDG PET/CT and [18F] FDG PET/MRI for distant metastases in breast cancer patients. METHODS A comprehensive search of the PubMed and Embase databases was performed to identify relevant articles until September 22, 2023. Studies were eligible to be included if they assessed the diagnostic performance of [18F] FDG PET/CT and/or [18F] FDG PET/MRI in detecting distant metastases of breast cancer patients. The DerSimonian and Laird method was used to assess sensitivity and specificity, and then transformed through the Freeman-Tukey double arcsine transformation. RESULTS 29 articles consisting of 3779 patients were finally included in this study. The overall sensitivity of [18F] FDG PET/CT in diagnosing distant metastases of breast cancer was 0.96 (95% CI: 0.93-0.98), and the overall specificity was 0.95 (95% CI: 0.92-0.97). The overall sensitivity of [18F] FDG PET/MRI was 1.00 (95% CI: 0.97-1.00), and the specificity was 0.97 (95% CI: 0.94-1.00). The results suggested that [18F] FDG PET/CT and [18F] FDG PET/MRI appears to have similar sensitivity (P = .16) and specificity (P = .30) in diagnosing distant metastases of breast cancer. CONCLUSIONS The results of our meta-analysis indicated that [18F] FDG PET/CT and [18F] FDG PET/MRI in diagnosing distant metastases of breast cancer appear to have similar sensitivity and specificity. Patients who have access to only one of these modalities will not have the accuracy of their staging compromised. In clinical practice, both of these imaging techniques have their respective strengths and limitations, and physicians should take these into account when making the most suitable choice for patients.
Collapse
Affiliation(s)
- Fangqian Shen
- Department of Oncology, The Second Affiliated Hospital of Zunyi Medical University, Zunyi, China
| | - Qi Liu
- Department of Oncology, The Second Affiliated Hospital of Zunyi Medical University, Zunyi, China
| | - Yishuang Wang
- Department of Oncology, The Second Affiliated Hospital of Zunyi Medical University, Zunyi, China
| | - Can Chen
- Department of Oncology, The Second Affiliated Hospital of Zunyi Medical University, Zunyi, China
| | - Hu Ma
- Department of Oncology, The Second Affiliated Hospital of Zunyi Medical University, Zunyi, China.
| |
Collapse
|
5
|
Groheux D, Vaz SC, Poortmans P, Mann RM, Ulaner GA, Cook GJR, Hindié E, Pilkington Woll JP, Jacene H, Rubio IT, Vrancken Peeters MJ, Dibble EH, de Geus-Oei LF, Graff SL, Cardoso F. Role of [ 18F]FDG PET/CT in patients with invasive breast carcinoma of no special type: Literature review and comparison between guidelines. Breast 2024; 78:103806. [PMID: 39303572 PMCID: PMC11440802 DOI: 10.1016/j.breast.2024.103806] [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: 07/01/2024] [Revised: 08/29/2024] [Accepted: 09/07/2024] [Indexed: 09/22/2024] Open
Abstract
PURPOSE The recently released EANM/SNMMI guideline, endorsed by several important clinical and imaging societies in the field of breast cancer (BC) care (ACR, ESSO, ESTRO, EUSOBI/ESR, EUSOMA), emphasized the role of [18F]FDG PET/CT in management of patients with no special type (NST) BC. This review identifies and summarizes similarities, discrepancies and novelties of the EANM/SNMMI guideline compared to NCCN, ESMO and ABC recommendations. METHODS The EANM/SNMMI guideline was based on a systematic literature search and the AGREE tool. The level of evidence was determined according to NICE criteria, and 85 % agreement or higher was reached regarding each statement. Comparisons with NCCN, ESMO and ABC guidelines were examined for specific clinical scenarios in patients with early stage through advanced and metastatic BC. RESULTS Regarding initial staging of patients with NST BC, [18F]FDG PET/CT is the preferred modality in the EANM-SNMMI guideline, showing superiority as a single modality to a combination of contrast-enhanced CT of thorax-abdomen-pelvis plus bone scan in head-to-head comparisons and a randomized study. Its use is recommended in patients with clinical stage IIB or higher and may be useful in certain stage IIA cases of NST BC. In NCCN, ESMO, and ABC guidelines, [18F]FDG PET/CT is instead recommended as complementary to conventional imaging to solve inconclusive findings, although ESMO and ABC also suggest [18F]FDG PET/CT can replace conventional imaging for staging patients with high-risk and metastatic NST BC. During follow up, NCCN and ESMO only recommend diagnostic imaging if there is suspicion of recurrence. Similarly, EANM-SNMMI states that [18F]FDG PET/CT is useful to detect the site and extent of recurrence only when there is clinical or laboratory suspicion of recurrence, or when conventional imaging methods are equivocal. The EANM-SNMMI guideline is the first to emphasize a role of [18F]FDG PET/CT for assessing early metabolic response to primary systemic therapy, particularly for HER2+ BC and TNBC. In the metastatic setting, EANM-SNMMI state that [18F]FDG PET/CT may help evaluate bone metastases and determine early response to treatment, in agreement with guidelines from ESMO. CONCLUSIONS The recently released EANM/SNMMI guideline reinforces the role of [18F]FDG PET/CT in the management of patients with NST BC supported by extensive evidence of its utility in several clinical scenarios.
Collapse
Affiliation(s)
- David Groheux
- Department of Nuclear Medicine, Saint-Louis Hospital, Paris, France; University Paris-Diderot, INSERM, U976, Paris, France; Centre d'Imagerie Radio-Isotopique (CIRI), La Rochelle, France.
| | - Sofia C Vaz
- Department of Nuclear Medicine and Radiopharmacology, Champalimaud Clinical Center, Champalimaud Foundation, Lisbon, Portugal; Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Philip Poortmans
- Department of Radiation Oncology, Iridium Netwerk, Belgium; Faculty of Medicine and Health Sciences, University of Antwerp, Wilrijk-Antwerp, Belgium
| | - Ritse M Mann
- Department of Radiology, Radboud umc, Nijmegen, the Netherlands
| | - Gary A Ulaner
- Department of Molecular Imaging and Therapy, Hoag Family Cancer Institute, Newport Beach, CA, United States; Departments of Radiology and Translational Genomics, University of Southern California, Los Angeles, CA, United States
| | - Gary J R Cook
- Department of Cancer Imaging, King's College London, London, UK; King's College London and Guy's & St Thomas' PET Centre, London, UK; School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | - Elif Hindié
- Department of Nuclear Medicine, Bordeaux University Hospital, Bordeaux, France
| | | | - Heather Jacene
- Dana-Farber Cancer Institute/Brigham and Women's Hospital, and Harvard Medical School, United States
| | - Isabel T Rubio
- Department of Breast Surgical Oncology, Clinica Universidad de Navarra, Madrid, Cancer Center Clinica Universidad de Navarra, Spain
| | - Marie-Jeanne Vrancken Peeters
- Department of Surgical Oncology, Netherlands Cancer Institute, Amsterdam, the Netherlands; Department of Surgery, Amsterdam University Medical Center, Amsterdam, the Netherlands
| | - Elizabeth H Dibble
- Department of Diagnostic Imaging, The Warren Alpert Medical School of Brown University, Providence, RI, United States
| | - Lioe-Fee de Geus-Oei
- Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands; Biomedical Photonic Imaging Group, University of Twente, Enschede, the Netherlands; Department of Radiation Science & Technology, Delft University of Technology, Delft, the Netherlands
| | - Stephanie L Graff
- Lifespan Cancer Institute, Providence, RI, United States; Legorreta Cancer Center at Brown University, Providence, RI, United States
| | - Fatima Cardoso
- Breast Unit, Champalimaud Clinical Center, Champalimaud Foundation, Lisbon, Portugal
| |
Collapse
|
6
|
Jannusch K, Dietzel F, Bruckmann NM, Morawitz J, Boschheidgen M, Minko P, Bittner AK, Mohrmann S, Quick HH, Herrmann K, Umutlu L, Antoch G, Rubbert C, Kirchner J, Caspers J. Prediction of therapy response of breast cancer patients with machine learning based on clinical data and imaging data derived from breast [ 18F]FDG-PET/MRI. Eur J Nucl Med Mol Imaging 2024; 51:1451-1461. [PMID: 38133687 PMCID: PMC10957677 DOI: 10.1007/s00259-023-06513-9] [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: 07/11/2023] [Accepted: 11/06/2023] [Indexed: 12/23/2023]
Abstract
PURPOSE To evaluate if a machine learning prediction model based on clinical and easily assessable imaging features derived from baseline breast [18F]FDG-PET/MRI staging can predict pathologic complete response (pCR) in patients with newly diagnosed breast cancer prior to neoadjuvant system therapy (NAST). METHODS Altogether 143 women with newly diagnosed breast cancer (54 ± 12 years) were retrospectively enrolled. All women underwent a breast [18F]FDG-PET/MRI, a histopathological workup of their breast cancer lesions and evaluation of clinical data. Fifty-six features derived from positron emission tomography (PET), magnetic resonance imaging (MRI), sociodemographic / anthropometric, histopathologic as well as clinical data were generated and used as input for an extreme Gradient Boosting model (XGBoost) to predict pCR. The model was evaluated in a five-fold nested-cross-validation incorporating independent hyper-parameter tuning within the inner loops to reduce the risk of overoptimistic estimations. Diagnostic model-performance was assessed by determining the area under the curve of the receiver operating characteristics curve (ROC-AUC), sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy. Furthermore, feature importances of the XGBoost model were evaluated to assess which features contributed most to distinguish between pCR and non-pCR. RESULTS Nested-cross-validation yielded a mean ROC-AUC of 80.4 ± 6.0% for prediction of pCR. Mean sensitivity, specificity, PPV, and NPV of 54.5 ± 21.3%, 83.6 ± 4.2%, 63.6 ± 8.5%, and 77.6 ± 8.1% could be achieved. Histopathological data were the most important features for classification of the XGBoost model followed by PET, MRI, and sociodemographic/anthropometric features. CONCLUSION The evaluated multi-source XGBoost model shows promising results for reliably predicting pathological complete response in breast cancer patients prior to NAST. However, yielded performance is yet insufficient to be implemented in the clinical decision-making process.
Collapse
Affiliation(s)
- Kai Jannusch
- Department of Diagnostic and Interventional Radiology, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University Düsseldorf, Moorenstrasse 5, D-40225, Düsseldorf, Germany
| | - Frederic Dietzel
- Department of Diagnostic and Interventional Radiology, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University Düsseldorf, Moorenstrasse 5, D-40225, Düsseldorf, Germany
| | - Nils Martin Bruckmann
- Department of Diagnostic and Interventional Radiology, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University Düsseldorf, Moorenstrasse 5, D-40225, Düsseldorf, Germany
| | - Janna Morawitz
- Department of Diagnostic and Interventional Radiology, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University Düsseldorf, Moorenstrasse 5, D-40225, Düsseldorf, Germany
| | - Matthias Boschheidgen
- Department of Diagnostic and Interventional Radiology, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University Düsseldorf, Moorenstrasse 5, D-40225, Düsseldorf, Germany
| | - Peter Minko
- Department of Diagnostic and Interventional Radiology, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University Düsseldorf, Moorenstrasse 5, D-40225, Düsseldorf, Germany
| | - Ann-Kathrin Bittner
- Department Gynecology and Obstetrics, University Hospital Essen, University of Duisburg-Essen, D-45147, Essen, Germany
| | - Svjetlana Mohrmann
- Department of Gynecology, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University Düsseldorf, D-40225, Düsseldorf, Germany
| | - Harald H Quick
- High-Field and Hybrid MR Imaging, University Hospital Essen, University Duisburg-Essen, D-45147, Essen, Germany
- Erwin L. Hahn Institute for Magnetic Resonance Imaging, University Duisburg-Essen, D-45141, Essen, Germany
| | - Ken Herrmann
- Department of Nuclear Medicine, University of Duisburg-Essen, and German Cancer Consortium (DKTK)-University Hospital Essen, Essen, Germany
| | - Lale Umutlu
- Department of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, University of Duisburg-Essen, D-45147, Essen, Germany
| | - Gerald Antoch
- Department of Diagnostic and Interventional Radiology, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University Düsseldorf, Moorenstrasse 5, D-40225, Düsseldorf, Germany
- Center for Integrated Oncology, Aachen Bonn Cologne Düsseldorf (CIO ABCD), Cologne, Germany
| | - Christian Rubbert
- Department of Diagnostic and Interventional Radiology, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University Düsseldorf, Moorenstrasse 5, D-40225, Düsseldorf, Germany.
| | - Julian Kirchner
- Department of Diagnostic and Interventional Radiology, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University Düsseldorf, Moorenstrasse 5, D-40225, Düsseldorf, Germany
| | - Julian Caspers
- Department of Diagnostic and Interventional Radiology, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University Düsseldorf, Moorenstrasse 5, D-40225, Düsseldorf, Germany
| |
Collapse
|
7
|
Ulaner GA, Vaz SC, Groheux D. Quarter-Century Transformation of Oncology: Positron Emission Tomography for Patients with Breast Cancer. PET Clin 2024; 19:147-162. [PMID: 38177052 DOI: 10.1016/j.cpet.2023.12.002] [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: 01/06/2024]
Abstract
PET radiotracers have become indispensable in the care of patients with breast cancer. 18F-fluorodeoxyglucose has become the preferred method of many oncologists for systemic staging of breast cancer at initial diagnosis, detecting recurrent disease, and for measuring treatment response after therapy. 18F-Sodium Fluoride is valuable for detection of osseous metastases. 18F-fluoroestradiol is now FDA-approved with multiple appropriate clinical uses. There are multiple PET radiotracers in clinical trials, which may add utility of PET imaging for patients with breast cancer in the future. This article will describe the advances during the last quarter century in PET for patients with breast cancer.
Collapse
Affiliation(s)
- Gary A Ulaner
- Molecular Imaging and Therapy, Hoag Family Cancer Institute, Irvine, CA, USA; Departments of Radiology and Translational Genomics, University of Southern California, Los Angeles, CA, USA.
| | - Sofia Carrilho Vaz
- Nuclear Medicine-Radiopharmacology, Champalimaud Clinical Center, Champalimaud Foundation, Lisbon, Portugal; Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands
| | - David Groheux
- Nuclear Department of Nuclear Medicine, Saint-Louis Hospital, Paris, France; Centre d'Imagerie Radio-Isotopique (CIRI), La Rochelle, France; University Paris-Diderot, INSERM U976, HIPI, Paris, France
| |
Collapse
|
8
|
Mainta IC, Sfakianaki I, Shiri I, Botsikas D, Garibotto V. The Clinical Added Value of Breast Cancer Imaging Using Hybrid PET/MR Imaging. Magn Reson Imaging Clin N Am 2023; 31:565-577. [PMID: 37741641 DOI: 10.1016/j.mric.2023.06.007] [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: 09/25/2023]
Abstract
Dedicated MR imaging is highly performant for the evaluation of the primary lesion and should regularly be added to whole-body PET/MR imaging for the initial staging. PET/MR imaging is highly sensitive for the detection of nodal involvement and could be combined with the high specificity of axillary second look ultrasound for the confirmation of the N staging. For M staging, with the exception of lung lesions, PET/MR imaging is superior to PET/computed tomography, at half the radiation dose. The predictive value of multiparametric imaging with PET/MR imaging holds promise to improve through radiomics and artificial intelligence.
Collapse
Affiliation(s)
- Ismini C Mainta
- Department of Nuclear Medicine and Molecular Imaging, Geneva University Hospitals, Rue Gabrielle-Perret-Gentil 4, Geneva 1205, Switzerland.
| | - Ilektra Sfakianaki
- Department of Radiology, Geneva University Hospitals, Rue Gabrielle-Perret-Gentil 4, Geneva 1205, Switzerland
| | - Isaac Shiri
- Department of Nuclear Medicine and Molecular Imaging, Geneva University Hospitals, Rue Gabrielle-Perret-Gentil 4, Geneva 1205, Switzerland
| | - Diomidis Botsikas
- Department of Radiology, Geneva University Hospitals, Rue Gabrielle-Perret-Gentil 4, Geneva 1205, Switzerland
| | - Valentina Garibotto
- Department of Nuclear Medicine and Molecular Imaging, Geneva University Hospitals, Rue Gabrielle-Perret-Gentil 4, Geneva 1205, Switzerland; Faculty of Medicine, University of Geneva, Rue Michel Servet 1, Geneva 1211, Switzerland
| |
Collapse
|
9
|
Groheux D. Breast Cancer Systemic Staging (Comparison of Computed Tomography, Bone Scan, and 18F-Fluorodeoxyglucose PET/Computed Tomography). PET Clin 2023; 18:503-515. [PMID: 37268506 DOI: 10.1016/j.cpet.2023.04.006] [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: 06/04/2023]
Abstract
After an overview of the principles of bone scintigraphy, contrast-enhanced computed tomography (CE-CT) and 18F-fluorodeoxyglucose (FDG)-PET/CT, the advantages and limits of these modalities in the staging of breast cancer are discussed in this paper. CT and PET/CT are not optimal for delineating primary tumor volume, and PET is less efficient than the sentinel node biopsy to depict small axillary lymph node metastases. In large breast cancer tumor, FDG PET/CT is useful to show extra-axillary lymph nodes. FDG PET/CT is superior to bone scan and CE-CT in detecting distant metastases, and it results in a change of treatment plan in nearly 15% of patients.
Collapse
Affiliation(s)
- David Groheux
- Department of Nuclear Medicine, Saint-Louis Hospital, Paris, France; University Paris-Diderot, INSERM U976, HIPI, Paris, France; Centre d'Imagerie Radio-isotopique, La Rochelle, France.
| |
Collapse
|
10
|
Morawitz J, Bruckmann NM, Jannusch K, Dietzel F, Milosevic A, Bittner AK, Hoffmann O, Mohrmann S, Ruckhäberle E, Häberle L, Fendler WP, Herrmann K, Giesel FL, Antoch G, Umutlu L, Kowall B, Stang A, Kirchner J. Conventional Imaging, MRI and 18F-FDG PET/MRI for N and M Staging in Patients with Newly Diagnosed Breast Cancer. Cancers (Basel) 2023; 15:3646. [PMID: 37509307 PMCID: PMC10377867 DOI: 10.3390/cancers15143646] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Revised: 07/08/2023] [Accepted: 07/12/2023] [Indexed: 07/30/2023] Open
Abstract
Background: This study compares the diagnostic potential of conventional staging (computed tomography (CT), axillary sonography and bone scintigraphy), whole-body magnetic resonance imaging (MRI) and whole-body 18F-fluorodeoxyglucose positron emission tomography (18F-FDG PET/)MRI for N and M staging in newly diagnosed breast cancer. Methods: A total of 208 patients with newly diagnosed breast cancer were prospectively included in this study and underwent contrast-enhanced thoracoabdominal CT, bone scintigraphy and axillary sonography as well as contrast-enhanced whole-body 18F-FDG PET/MRI. The datasets were analyzed with respect to lesion localization and characterization. Histopathology and follow-up imaging served as the reference standard. A McNemar test was used to compare the diagnostic performance of conventional staging, MRI and 18F-FDG PET/MRI and a Wilcoxon test was used to compare differences in true positive findings for nodal staging. Results: Conventional staging determined the N stage with a sensitivity of 80.9%, a specificity of 99.2%, a PPV (positive predictive value) of 98.6% and a NPV (negative predictive value) of 87.4%. The corresponding results for MRI were 79.6%, 100%, 100% and 87.0%, and were 86.5%, 94.1%, 91.7% and 90.3% for 18F-FDG PET/MRI. 18F-FDG PET/MRI was significantly more sensitive in determining malignant lymph nodes than conventional imaging and MRI (p < 0.0001 and p = 0.0005). Furthermore, 18F-FDG PET/MRI accurately estimated the clinical lymph node stage in significantly more cases than conventional imaging and MRI (each p < 0.05). Sensitivity, specificity, PPV and NPV for the M stage in conventional staging were 83.3%, 98.5%, 76.9% and 98.9%, respectively. The corresponding results for both MRI and 18F-FDG PET/MRI were 100.0%, 98.5%, 80.0% and 100.0%. No significant differences between the imaging modalities were seen for the staging of distant metastases. Conclusions:18F-FDG PET/MRI detects lymph node metastases in significantly more patients and estimates clinical lymph node stage more accurately than conventional imaging and MRI. No significant differences were found between imaging modalities with respect to the detection of distant metastases.
Collapse
Affiliation(s)
- Janna Morawitz
- Department of Diagnostic and Interventional Radiology, Medical Faculty, University Dusseldorf, D-40225 Dusseldorf, Germany
| | - Nils-Martin Bruckmann
- Department of Diagnostic and Interventional Radiology, Medical Faculty, University Dusseldorf, D-40225 Dusseldorf, Germany
| | - Kai Jannusch
- Department of Diagnostic and Interventional Radiology, Medical Faculty, University Dusseldorf, D-40225 Dusseldorf, Germany
| | - Frederic Dietzel
- Department of Diagnostic and Interventional Radiology, Medical Faculty, University Dusseldorf, D-40225 Dusseldorf, Germany
| | - Aleksandar Milosevic
- Department of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, University of Duisburg-Essen, D-45147 Essen, Germany
| | - Ann-Kathrin Bittner
- Department Gynecology and Obstetrics, University Hospital Essen, University of Duisburg-Essen, D-45147 Essen, Germany
| | - Oliver Hoffmann
- Department Gynecology and Obstetrics, University Hospital Essen, University of Duisburg-Essen, D-45147 Essen, Germany
| | - Svjetlana Mohrmann
- Department of Gynecology, Medical Faculty, University Dusseldorf, D-40225 Dusseldorf, Germany
| | - Eugen Ruckhäberle
- Department of Gynecology, Medical Faculty, University Dusseldorf, D-40225 Dusseldorf, Germany
| | - Lena Häberle
- Institute of Pathology, Medical Faculty, University Hospital Duesseldorf, Heinrich-Heine-University, D-40204 Duesseldorf, Germany
| | - Wolfgang Peter Fendler
- Department of Nuclear Medicine, German Cancer Consortium (DKTK)-University Hospital Essen, University of Duisburg-Essen, D-45147 Essen, Germany
| | - Ken Herrmann
- Department of Nuclear Medicine, German Cancer Consortium (DKTK)-University Hospital Essen, University of Duisburg-Essen, D-45147 Essen, Germany
| | - Frederik Lars Giesel
- Department of Nuclear Medicine, Medical Faculty, University Dusseldorf, D-40225 Dusseldorf, Germany
| | - Gerald Antoch
- Department of Diagnostic and Interventional Radiology, Medical Faculty, University Dusseldorf, D-40225 Dusseldorf, Germany
| | - Lale Umutlu
- Department of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, University of Duisburg-Essen, D-45147 Essen, Germany
| | - Bernd Kowall
- Institute of Medical Informatics, Biometry and Epidemiology, University Hospital of Essen, D-45147 Essen, Germany
| | - Andreas Stang
- Institute of Medical Informatics, Biometry and Epidemiology, University Hospital of Essen, D-45147 Essen, Germany
| | - Julian Kirchner
- Department of Diagnostic and Interventional Radiology, Medical Faculty, University Dusseldorf, D-40225 Dusseldorf, Germany
| |
Collapse
|
11
|
Jannusch K, Bittner AK, Bruckmann NM, Morawitz J, Stieglitz C, Dietzel F, Quick HH, Baba HA, Herrmann K, Umutlu L, Antoch G, Kirchner J, Kasimir-Bauer S, Hoffmann O. Correlation between Imaging Markers Derived from PET/MRI and Invasive Acquired Biomarkers in Newly Diagnosed Breast Cancer. Cancers (Basel) 2023; 15:cancers15061651. [PMID: 36980537 PMCID: PMC10046153 DOI: 10.3390/cancers15061651] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Accepted: 03/06/2023] [Indexed: 03/30/2023] Open
Abstract
PURPOSE Evaluate the diagnostic potential of [18F]FDG-PET/MRI data compared with invasive acquired biomarkers in newly diagnosed early breast cancer (BC). METHODS Altogether 169 women with newly diagnosed BC were included. All underwent a breast- and whole-body [18F]FDG-PET/MRI for initial staging. A tumor-adapted volume of interest was placed in the primaries and defined bone regions on each standard uptake value (SUV)/apparent diffusion coefficient (ADC) dataset. Immunohistochemical markers, molecular subtype, tumor grading, and disseminated tumor cells (DTCs) of each patient were assessed after ultrasound-guided biopsy of the primaries and bone marrow (BM) aspiration. Correlation analysis and group comparisons were assessed. RESULTS A significant inverse correlation of estrogen-receptor (ER) expression and progesterone-receptor (PR) expression towards SUVmax was found (ER: r = 0.27, p < 0.01; PR: r = 0.19, p < 0.05). HER2-receptor expression showed no significant correlation towards SUV and ADC values. A significant positive correlation between Ki67 and SUVmax and SUVmean (r = 0.42 p < 0.01; r = 0.19 p < 0.05) was shown. Tumor grading significantly correlated with SUVmax and SUVmean (ρ = 0.36 and ρ = 0.39, both p's < 0.01). There were no group differences between SUV/ADC values of DTC-positive/-negative patients. CONCLUSIONS [18F]FDG-PET/MRI may give a first impression of BC-receptor status and BC-tumor biology during initial staging by measuring glucose metabolism but cannot distinguish between DTC-positive/-negative patients and replace biopsy.
Collapse
Affiliation(s)
- Kai Jannusch
- Department of Diagnostic and Interventional Radiology, University Dusseldorf, Medical Faculty, 40225 Dusseldorf, Germany
| | - Ann-Kathrin Bittner
- Department Gynecology and Obstetrics, University Hospital Essen, University of Duisburg-Essen, 45147 Essen, Germany
| | - Nils Martin Bruckmann
- Department of Diagnostic and Interventional Radiology, University Dusseldorf, Medical Faculty, 40225 Dusseldorf, Germany
| | - Janna Morawitz
- Department of Diagnostic and Interventional Radiology, University Dusseldorf, Medical Faculty, 40225 Dusseldorf, Germany
| | - Cleo Stieglitz
- Department of Diagnostic and Interventional Radiology, University Dusseldorf, Medical Faculty, 40225 Dusseldorf, Germany
| | - Frederic Dietzel
- Department of Diagnostic and Interventional Radiology, University Dusseldorf, Medical Faculty, 40225 Dusseldorf, Germany
| | - Harald H Quick
- High-Field and Hybrid MR Imaging, University Hospital Essen, University Duisburg-Essen, 45147 Essen, Germany
- Erwin L. Hahn Institute for Magnetic Resonance Imaging, University Duisburg-Essen, 45141 Essen, Germany
| | - Hideo A Baba
- Institute of Pathology, University Hospital Essen, University of Duisburg-Essen, 45147 Essen, Germany
| | - Ken Herrmann
- Department of Nuclear Medicine, University Hospital Essen, University of Duisburg-Essen, 45147 Essen, Germany
| | - Lale Umutlu
- Department of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, University of Duisburg-Essen, 45147 Essen, Germany
| | - Gerald Antoch
- Department of Diagnostic and Interventional Radiology, University Dusseldorf, Medical Faculty, 40225 Dusseldorf, Germany
| | - Julian Kirchner
- Department of Diagnostic and Interventional Radiology, University Dusseldorf, Medical Faculty, 40225 Dusseldorf, Germany
| | - Sabine Kasimir-Bauer
- Department Gynecology and Obstetrics, University Hospital Essen, University of Duisburg-Essen, 45147 Essen, Germany
| | - Oliver Hoffmann
- Department Gynecology and Obstetrics, University Hospital Essen, University of Duisburg-Essen, 45147 Essen, Germany
| |
Collapse
|
12
|
Mirshahvalad SA, Metser U, Basso Dias A, Ortega C, Yeung J, Veit-Haibach P. 18F-FDG PET/MRI in Detection of Pulmonary Malignancies: A Systematic Review and Meta-Analysis. Radiology 2023; 307:e221598. [PMID: 36692397 DOI: 10.1148/radiol.221598] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
Background There have been conflicting results regarding fluorine 18-labeled fluorodeoxyglucose (18F-FDG) PET/MRI diagnostic performance in lung malignant neoplasms. Purpose To evaluate the diagnostic performance of 18F-FDG PET/MRI for the detection of pulmonary malignant neoplasms. Materials and Methods A systematic search was conducted within the Scopus, Web of Science, and PubMed databases until December 31, 2021. Published original articles that met the following criteria were considered eligible for meta-analysis: (a) detecting malignant lesions in the lung, (b) comparing 18F-FDG PET/MRI with a valid reference standard, and (c) providing data for the meta-analytic calculations. A hierarchical method was used to pool the performances. The bivariate model was used to find the summary points and 95% CIs. The hierarchical summary receiver operating characteristic model was used to draw the summary receiver operating characteristic curve and calculate the area under the curve. The Higgins I2 statistic and Cochran Q test were used for heterogeneity assessment. Results A total of 43 studies involving 1278 patients met the inclusion criteria and were included in the meta-analysis. 18F-FDG PET/MRI had a pooled sensitivity and specificity of 96% (95% CI: 84, 99) and 100% (95% CI: 98, 100), respectively. 18F-FDG PET/CT had a pooled sensitivity and specificity of 99% (95% CI: 61, 100) and 99% (95% CI: 94, 100), respectively, which were comparable with those of 18F-FDG PET/MRI. At meta-regression, studies in which contrast media (P = .03) and diffusion-weighted imaging (P = .04) were used as a part of a pulmonary 18F-FDG PET/MRI protocol showed significantly higher sensitivities. Conclusion Fluorine 18-labeled fluorodeoxyglucose (18F-FDG) PET/MRI was found to be accurate and comparable with 18F-FDG PET/CT in the detection of malignant pulmonary lesions, with significantly improved sensitivity when advanced acquisition protocols were used. © RSNA, 2023 Supplemental material is available for this article.
Collapse
Affiliation(s)
- Seyed Ali Mirshahvalad
- From the Joint Department of Medical Imaging (S.A.M., U.R., A.B.D., C.O., P.V.H.) and Division of Thoracic Surgery, Department of Surgery (J.Y.), Toronto General Hospital, University Health Network, University of Toronto, 585 University Ave, Toronto, ON, Canada M5G 2N2
| | - Ur Metser
- From the Joint Department of Medical Imaging (S.A.M., U.R., A.B.D., C.O., P.V.H.) and Division of Thoracic Surgery, Department of Surgery (J.Y.), Toronto General Hospital, University Health Network, University of Toronto, 585 University Ave, Toronto, ON, Canada M5G 2N2
| | - Adriano Basso Dias
- From the Joint Department of Medical Imaging (S.A.M., U.R., A.B.D., C.O., P.V.H.) and Division of Thoracic Surgery, Department of Surgery (J.Y.), Toronto General Hospital, University Health Network, University of Toronto, 585 University Ave, Toronto, ON, Canada M5G 2N2
| | - Claudia Ortega
- From the Joint Department of Medical Imaging (S.A.M., U.R., A.B.D., C.O., P.V.H.) and Division of Thoracic Surgery, Department of Surgery (J.Y.), Toronto General Hospital, University Health Network, University of Toronto, 585 University Ave, Toronto, ON, Canada M5G 2N2
| | - Jonathan Yeung
- From the Joint Department of Medical Imaging (S.A.M., U.R., A.B.D., C.O., P.V.H.) and Division of Thoracic Surgery, Department of Surgery (J.Y.), Toronto General Hospital, University Health Network, University of Toronto, 585 University Ave, Toronto, ON, Canada M5G 2N2
| | - Patrick Veit-Haibach
- From the Joint Department of Medical Imaging (S.A.M., U.R., A.B.D., C.O., P.V.H.) and Division of Thoracic Surgery, Department of Surgery (J.Y.), Toronto General Hospital, University Health Network, University of Toronto, 585 University Ave, Toronto, ON, Canada M5G 2N2
| |
Collapse
|
13
|
Jannusch K, Bruckmann NM, Geuting CJ, Morawitz J, Dietzel F, Rischpler C, Herrmann K, Bittner AK, Hoffmann O, Mohrmann S, Quick HH, Umutlu L, Antoch G, Kirchner J. Lung Nodules Missed in Initial Staging of Breast Cancer Patients in PET/MRI-Clinically Relevant? Cancers (Basel) 2022; 14:cancers14143454. [PMID: 35884513 PMCID: PMC9321171 DOI: 10.3390/cancers14143454] [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] [Received: 06/08/2022] [Revised: 07/12/2022] [Accepted: 07/14/2022] [Indexed: 12/24/2022] Open
Abstract
Simple Summary Image-based primary staging in women with newly-diagnosed breast cancer is important to exclude distant metastases, which affect up to 10% of women. The increasing implementation of [18F]FDG-PET/MRI as a radiation-saving primary staging tool bears the risk of missing lung nodules. Thus, chest CT serves as the diagnostic of choice for the detection and classification of pulmonary nodules. The aim of this study was the evaluation of the clinical relevance of missed lung nodules at initial staging of breast cancer patients in [18F]FDG-PET/MRI compared with CT. We demonstrated in an homogeneous population of 152 patients that all patients with newly-diagnosed breast cancer and clinically-relevant lung nodules were detected at initial [18F]FDG-PET/MRI staging. However, due to the lower sensitivity of MRI in detecting lung nodules, a small proportion of clinically-relevant lung nodules were missed. Thus, a supplemental low-dose chest CT after neoadjuvant therapy should be considered for backup. Abstract Purpose: The evaluation of the clinical relevance of missed lung nodules at initial staging of breast cancer patients in [18F]FDG-PET/MRI compared with CT. Methods: A total of 152 patients underwent an initial whole-body [18F]FDG-PET/MRI and a thoracoabdominal CT for staging. Presence, size, shape and location for each lung nodule in [18F]FDG-PET/MRI was noted. The reference standard was established by taking initial CT and follow-up imaging into account (a two-step approach) to identify clinically-relevant lung nodules. Patient-based and lesion-based data analysis was performed. Results: No patient with clinically-relevant lung nodules was missed on a patient-based analysis with MRI VIBE, while 1/84 females was missed with MRI HASTE (1%). Lesion-based analysis revealed 4/96 (4%, VIBE) and 8/138 (6%, HASTE) missed clinically-relevant lung nodules. The average size of missed lung nodules was 3.2 mm ± 1.2 mm (VIBE) and 3.6 mm ± 1.4 mm (HASTE) and the predominant location was in the left lower quadrant and close to the hilum. Conclusion: All patients with newly-diagnosed breast cancer and clinically-relevant lung nodules were detected at initial [18F]FDG-PET/MRI staging. However, due to the lower sensitivity in detecting lung nodules, a small proportion of clinically-relevant lung nodules were missed. Thus, supplemental low-dose chest CT after neoadjuvant therapy should be considered for backup.
Collapse
Affiliation(s)
- Kai Jannusch
- Department of Diagnostic and Interventional Radiology, Medical Faculty, University Dusseldorf, 40225 Dusseldorf, Germany; (K.J.); (N.M.B.); (C.J.G.); (J.M.); (F.D.); (G.A.)
| | - Nils Martin Bruckmann
- Department of Diagnostic and Interventional Radiology, Medical Faculty, University Dusseldorf, 40225 Dusseldorf, Germany; (K.J.); (N.M.B.); (C.J.G.); (J.M.); (F.D.); (G.A.)
| | - Charlotte Johanna Geuting
- Department of Diagnostic and Interventional Radiology, Medical Faculty, University Dusseldorf, 40225 Dusseldorf, Germany; (K.J.); (N.M.B.); (C.J.G.); (J.M.); (F.D.); (G.A.)
| | - Janna Morawitz
- Department of Diagnostic and Interventional Radiology, Medical Faculty, University Dusseldorf, 40225 Dusseldorf, Germany; (K.J.); (N.M.B.); (C.J.G.); (J.M.); (F.D.); (G.A.)
| | - Frederic Dietzel
- Department of Diagnostic and Interventional Radiology, Medical Faculty, University Dusseldorf, 40225 Dusseldorf, Germany; (K.J.); (N.M.B.); (C.J.G.); (J.M.); (F.D.); (G.A.)
| | - Christoph Rischpler
- Department of Nuclear Medicine, University Hospital Essen, University of Duisburg-Essen, 45147 Essen, Germany; (C.R.); (K.H.)
| | - Ken Herrmann
- Department of Nuclear Medicine, University Hospital Essen, University of Duisburg-Essen, 45147 Essen, Germany; (C.R.); (K.H.)
| | - Ann-Kathrin Bittner
- Department Gynecology and Obstetrics, University Hospital Essen, University of Duisburg-Essen, 45147 Essen, Germany; (A.-K.B.); (O.H.)
| | - Oliver Hoffmann
- Department Gynecology and Obstetrics, University Hospital Essen, University of Duisburg-Essen, 45147 Essen, Germany; (A.-K.B.); (O.H.)
| | - Svjetlana Mohrmann
- Department of Gynecology, Medical Faculty, University Dusseldorf, 40225 Dusseldorf, Germany;
| | - Harald H. Quick
- High-Field and Hybrid MR Imaging, University Hospital Essen, University Duisburg-Essen, 45147 Essen, Germany;
- Erwin L. Hahn Institute for Magnetic Resonance Imaging, University Duisburg-Essen, 45141 Essen, Germany
| | - Lale Umutlu
- Department of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, University of Duisburg-Essen, 45147 Essen, Germany;
| | - Gerald Antoch
- Department of Diagnostic and Interventional Radiology, Medical Faculty, University Dusseldorf, 40225 Dusseldorf, Germany; (K.J.); (N.M.B.); (C.J.G.); (J.M.); (F.D.); (G.A.)
| | - Julian Kirchner
- Department of Diagnostic and Interventional Radiology, Medical Faculty, University Dusseldorf, 40225 Dusseldorf, Germany; (K.J.); (N.M.B.); (C.J.G.); (J.M.); (F.D.); (G.A.)
- Correspondence: ; Tel.: +49-211-8-11-77-54
| |
Collapse
|
14
|
Groheux D. FDG-PET/CT for Primary Staging and Detection of Recurrence of Breast Cancer. Semin Nucl Med 2022; 52:508-519. [PMID: 35636977 DOI: 10.1053/j.semnuclmed.2022.05.001] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Accepted: 05/04/2022] [Indexed: 12/22/2022]
Abstract
Breast cancer is the most frequent cancer diagnosed in women worldwide. Accurate baseline staging is necessary to plan optimal breast cancer management. Early detection and staging of recurrence are also essential for optimal therapeutic management. Hybrid FDG-PET/CT imaging offers high sensitivity in detecting extra axillary lymph nodes and distant metastases. Although FDG-PET/CT has some limitations for low proliferative tumors, low-grade tumors and for well-differentiated luminal breast cancer, PET/CT is useful for the initial staging of breast cancer, regardless of tumor phenotype (luminal, triple negative, or HER2+) and of tumor grade. Although FDG-PET/CT performs better for invasive ductal carcinoma (invasive carcinoma of no specific subtype), it is also helpful for staging invasive lobular carcinomas. At initial staging, FDG-PET/CT becomes very useful for staging from clinical stage IIB (T2N1 or T3N0). FDG-PET/CT could be useful in patients with clinical stage IIA (T1N1 or T2N0), but there is not enough strong evidence to recommend routine use in this subgroup. For clinical stage I (T1N0) patients, FDG-PET/CT offers no added value. In patients with recurrent breast cancer, FDG-PET/CT is more effective than conventional imaging in detecting locoregional or distant recurrence, whether suspected by clinical examination, conventional imaging, or elevation of a tumor marker (CA 15.3 or CEA). PET/CT is effective even in the presence of normal tumor markers. PET/CT is also a powerful imaging modality for performing a whole-body workup of a known recurrence and for determining whether or not the recurrence is isolated.
Collapse
Affiliation(s)
- David Groheux
- Department of Nuclear Medicine, Saint-Louis Hospital, Paris, France; University Paris-Diderot, INSERM U976, HIPI, Paris, France; Centre d'Imagerie Radio-isotopique, La Rochelle, France.
| |
Collapse
|
15
|
Review of imaging techniques for evaluating morphological and functional responses to the treatment of bone metastases in prostate and breast cancer. Clin Transl Oncol 2022; 24:1290-1310. [PMID: 35152355 PMCID: PMC9192443 DOI: 10.1007/s12094-022-02784-0] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Accepted: 01/20/2022] [Indexed: 12/27/2022]
Abstract
Bone metastases are very common complications associated with certain types of cancers that frequently negatively impact the quality of life and functional status of patients; thus, early detection is necessary for the implementation of immediate therapeutic measures to reduce the risk of skeletal complications and improve survival and quality of life. There is no consensus or universal standard approach for the detection of bone metastases in cancer patients based on imaging. Endorsed by the Spanish Society of Medical Oncology (SEOM), the Spanish Society of Medical Radiology (SERAM), and the Spanish Society of Nuclear Medicine and Molecular Imaging (SEMNIM) a group of experts met to discuss and provide an up-to-date review of our current understanding of the biological mechanisms through which tumors spread to the bone and describe the imaging methods available to diagnose bone metastasis and monitor their response to oncological treatment, focusing on patients with breast and prostate cancer. According to current available data, the use of next-generation imaging techniques, including whole-body diffusion-weighted MRI, PET/CT, and PET/MRI with novel radiopharmaceuticals, is recommended instead of the classical combination of CT and bone scan in detection, staging and response assessment of bone metastases from prostate and breast cancer.Clinical trial registration: Not applicable.
Collapse
|