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McDonald ES, Scheel JR, Lewin AA, Weinstein SP, Dodelzon K, Dogan BE, Fitzpatrick A, Kuzmiak CM, Newell MS, Paulis LV, Pilewskie M, Salkowski LR, Silva HC, Sharpe RE, Specht JM, Ulaner GA, Slanetz PJ. ACR Appropriateness Criteria® Imaging of Invasive Breast Cancer. J Am Coll Radiol 2024; 21:S168-S202. [PMID: 38823943 DOI: 10.1016/j.jacr.2024.02.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Accepted: 02/28/2024] [Indexed: 06/03/2024]
Abstract
As the proportion of women diagnosed with invasive breast cancer increases, the role of imaging for staging and surveillance purposes should be determined based on evidence-based guidelines. It is important to understand the indications for extent of disease evaluation and staging, as unnecessary imaging can delay care and even result in adverse outcomes. In asymptomatic patients that received treatment for curative intent, there is no role for imaging to screen for distant recurrence. Routine surveillance with an annual 2-D mammogram and/or tomosynthesis is recommended to detect an in-breast recurrence or a new primary breast cancer in women with a history of breast cancer, and MRI is increasingly used as an additional screening tool in this population, especially in women with dense breasts. The American College of Radiology Appropriateness Criteria are evidence-based guidelines for specific clinical conditions that are reviewed annually by a multidisciplinary expert panel. The guideline development and revision process support the systematic analysis of the medical literature from peer reviewed journals. Established methodology principles such as Grading of Recommendations Assessment, Development, and Evaluation or GRADE are adapted to evaluate the evidence. The RAND/UCLA Appropriateness Method User Manual provides the methodology to determine the appropriateness of imaging and treatment procedures for specific clinical scenarios. In those instances where peer reviewed literature is lacking or equivocal, experts may be the primary evidentiary source available to formulate a recommendation.
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Affiliation(s)
- Elizabeth S McDonald
- Research Author, Perelman School of Medicine of the University of Pennsylvania, Philadelphia, Pennsylvania
| | - John R Scheel
- Vanderbilt University Medical Center, Nashville, Tennessee.
| | - Alana A Lewin
- Panel Chair, New York University Grossman School of Medicine, New York, New York
| | - Susan P Weinstein
- Panel Vice Chair, Perelman School of Medicine of the University of Pennsylvania, Philadelphia, Pennsylvania
| | | | - Basak E Dogan
- University of Texas Southwestern Medical Center, Dallas, Texas
| | - Amy Fitzpatrick
- Boston Medical Center, Boston, Massachusetts, Primary care physician
| | | | - Mary S Newell
- Emory University Hospital, Atlanta, Georgia; RADS Committee
| | | | - Melissa Pilewskie
- University of Michigan, Ann Arbor, Michigan; Society of Surgical Oncology
| | - Lonie R Salkowski
- University of Wisconsin School of Medicine & Public Health, Madison, Wisconsin
| | - H Colleen Silva
- The University of Texas Medical Branch, Galveston, Texas; American College of Surgeons
| | | | - Jennifer M Specht
- University of Washington, Seattle, Washington; American Society of Clinical Oncology
| | - Gary A Ulaner
- Hoag Family Cancer Institute, Newport Beach, California; University of Southern California, Los Angeles, California; Commission on Nuclear Medicine and Molecular Imaging
| | - Priscilla J Slanetz
- Specialty Chair, Boston University School of Medicine, Boston, Massachusetts
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2
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Aktaş A, Gürleyik MG, Aydın Aksu S, Aker F, Güngör S. Diagnostic Value of Axillary Ultrasound, MRI, and 18F-FDG-PET/ CT in Determining Axillary Lymph Node Status in Breast Cancer Patients. Eur J Breast Health 2022; 18:37-47. [DOI: 10.4274/ejbh.galenos.2021.2021-3-10] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2021] [Accepted: 07/04/2021] [Indexed: 12/01/2022]
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3
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Li Z, Gao Y, Gong H, Feng W, Ma Q, Li J, Lu X, Wang X, Lei J. Different Imaging Modalities for the Diagnosis of Axillary Lymph Node Metastases in Breast Cancer: A Systematic Review and Network Meta-Analysis of Diagnostic Test Accuracy. J Magn Reson Imaging 2022; 57:1392-1403. [PMID: 36054564 DOI: 10.1002/jmri.28399] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Revised: 08/04/2022] [Accepted: 08/05/2022] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND Accurate diagnosis of axillary lymph node metastasis (ALNM) of breast cancer patients is important to guide local and systemic treatment. PURPOSE To evaluate the diagnostic performance of different imaging modalities for ALNM in patients with breast cancer. STUDY TYPE Systematic review and network meta-analysis (NMA). SUBJECTS Sixty-one original articles with 8011 participants. FIELD STRENGTH 1.5 T and 3.0 T. ASSESSMENT We used the QUADAS-2 and QUADAS-C tools to assess the risk of bias in eligible studies. The identified articles assessed ultrasonography (US), MRI, mammography, ultrasound elastography (UE), PET, CT, PET/CT, scintimammography, and PET/MRI. STATISTICAL ANALYSIS We used random-effects conventional meta-analyses and Bayesian network meta-analyses for data analyses. We used sensitivity and specificity, relative sensitivity and specificity, superiority index, and summary receiver operating characteristic curve (SROC) analysis to compare the diagnostic value of different imaging modalities. RESULTS Sixty-one studies evaluated nine imaging modalities. At patient level, sensitivities of the nine imaging modalities ranged from 0.27 to 0.84 and specificities ranged from 0.84 to 0.95. Patient-based NMA showed that UE had the highest superiority index (5.95) with the highest relative sensitivity of 1.13 (95% confidence interval [CI]: 0.93-1.29) among all imaging methods when compared to US. At lymph node level, MRI had the highest superiority index (6.91) with highest relative sensitivity of 1.13 (95% CI: 1.01-1.23) and highest relative specificity of 1.11 (95% CI: 0.95-1.23) among all imaging methods when compared to US. SROCs also showed that UE and MRI had the largest area under the curve (AUC) at patient level and lymph node level of 0.92 and 0.94, respectively. DATA CONCLUSION UE and MRI may be superior to other imaging modalities in the diagnosis of ALNM in breast cancer patients at the patient level and the lymph node level, respectively. Further studies are needed to provide high-quality evidence to validate our findings. EVIDENCE LEVEL 3 TECHNICAL EFFICACY: Stage 2.
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Affiliation(s)
- Zhifan Li
- The First Clinical Medical College of Lanzhou University, Lanzhou, China.,Department of Radiology, the First Hospital of Lanzhou University, Lanzhou, China
| | - Ya Gao
- Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China.,Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada
| | - Hengxin Gong
- The First Clinical Medical College of Lanzhou University, Lanzhou, China.,Department of Radiology, the First Hospital of Lanzhou University, Lanzhou, China
| | - Wen Feng
- The First Clinical Medical College of Lanzhou University, Lanzhou, China.,Department of Radiology, the First Hospital of Lanzhou University, Lanzhou, China
| | - Qinqin Ma
- The First Clinical Medical College of Lanzhou University, Lanzhou, China.,Department of Radiology, the First Hospital of Lanzhou University, Lanzhou, China
| | - Jinkui Li
- The First Clinical Medical College of Lanzhou University, Lanzhou, China.,Department of Radiology, the First Hospital of Lanzhou University, Lanzhou, China
| | - Xingru Lu
- The First Clinical Medical College of Lanzhou University, Lanzhou, China.,Department of Radiology, the First Hospital of Lanzhou University, Lanzhou, China
| | - Xiaohui Wang
- Department of Obstetrics and Gynecology, the First Hospital of Lanzhou University, Lanzhou, China
| | - Junqiang Lei
- Department of Radiology, the First Hospital of Lanzhou University, Lanzhou, China
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Assi HI, Alameh IA, Khoury J, Bou Zerdan M, Akiki V, Charafeddine M, El Saheb GI, Sukhon F, Sbaity E, Baydoun S, Shabb N, Berjawi G, Haidar MB. Diagnostic Performance of FDG-PET/CT Scan as Compared to US-Guided FNA in Prediction of Axillary Lymph Node Involvement in Breast Cancer Patients. Front Oncol 2021; 11:740336. [PMID: 34660301 PMCID: PMC8518554 DOI: 10.3389/fonc.2021.740336] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2021] [Accepted: 09/13/2021] [Indexed: 11/13/2022] Open
Abstract
Purpose The aim of this study was to evaluate the diagnostic ability of 2-deoxy-2-[fluorine-18]fluoro-d-glucose (18F-FDG) PET/non-contrast CT compared with those of ultrasound (US)-guided fine needle aspiration (FNA) for axillary lymph node (ALN) staging in breast cancer patients. Patients and Methods Preoperative 18F-FDG PET/non-contrast CT was performed in 268 women with breast cancer, as well as ALN dissection or sentinel lymph node (SLN) biopsy. One hundred sixty-four patients underwent US-guided FNA in combination with 18F-FDG PET/CT. The diagnostic performance of each modality was evaluated using histopathologic assessments as the reference standard. The receiver operating characteristic (ROC) curves were compared to evaluate the diagnostic ability of several imaging modalities. Results Axillary 18F-FDG uptake was positive in 180 patients, and 125 patients had axillary metastases according to the final pathology obtained by ALN dissection and/or SLN dissection. Of the patients with positive 18F-FDG uptake in the axilla, 21% had false-positive results, whereas 79% were truly positive. Eighty-eight patients had negative 18F-FDG uptake in the axilla, among which 25% were false-negative. 18F-FDG-PET/CT had a sensitivity of 86.59% and a specificity of 63.46% in the assessment of ALN metastasis; on the other hand, US-guided FNA had a sensitivity of 91.67% and a specificity of 87.50%. The mean primary cancer size (p = 0.04) and tumor grade (p = 0.04) in combination were the only factors associated with the accuracy of 18F-FDG PET/CT for detecting metastatic ALNs. Conclusion The diagnostic performance of 18F-FDG PET/CT for the detection of axillary node metastasis in breast cancer patients was not significantly different from that of US-guided FNA. Combining 18F-FDG PET/CT with US-guided FNA or SLN biopsy could improve the diagnostic performance compared to 18F-FDG PET/CT alone.
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Affiliation(s)
- Hazem I Assi
- Department of Internal Medicine, Division of Hematology and Oncology, Naef K. Basile Cancer Institute, American University of Beirut Medical Center, Beirut, Lebanon
| | - Ibrahim A Alameh
- Department of Internal Medicine, Division of Hematology and Oncology, Naef K. Basile Cancer Institute, American University of Beirut Medical Center, Beirut, Lebanon
| | - Jessica Khoury
- Department of Internal Medicine, Division of Hematology and Oncology, Naef K. Basile Cancer Institute, American University of Beirut Medical Center, Beirut, Lebanon
| | - Maroun Bou Zerdan
- Department of Internal Medicine, Division of Hematology and Oncology, Naef K. Basile Cancer Institute, American University of Beirut Medical Center, Beirut, Lebanon
| | - Vanessa Akiki
- Department of Internal Medicine, Division of Endocrinology, American University of Beirut Medical Center, Beirut, Lebanon
| | - Maya Charafeddine
- Department of Internal Medicine, Division of Hematology and Oncology, Naef K. Basile Cancer Institute, American University of Beirut Medical Center, Beirut, Lebanon
| | - Ghida I El Saheb
- Department of Radiology, American University of Beirut Medical Center, Beirut, Lebanon
| | - Fares Sukhon
- Department of Internal Medicine, Division of Hematology and Oncology, Naef K. Basile Cancer Institute, American University of Beirut Medical Center, Beirut, Lebanon
| | - Eman Sbaity
- Department of General Surgery, American University of Beirut Medical Center, Beirut, Lebanon
| | - Serine Baydoun
- Department of Radiology, American University of Beirut Medical Center, Beirut, Lebanon
| | - Nina Shabb
- Department of Pathology, American University of Beirut Medical Center, Beirut, Lebanon
| | - Ghina Berjawi
- Department of Radiology, American University of Beirut Medical Center, Beirut, Lebanon
| | - Mohamad B Haidar
- Department of Radiology, American University of Beirut Medical Center, Beirut, Lebanon
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Kim K, Shim SR, Kim SJ. Diagnostic Values of 8 Different Imaging Modalities for Preoperative Detection of Axillary Lymph Node Metastasis of Breast Cancer: A Bayesian Network Meta-analysis. Am J Clin Oncol 2021; 44:331-339. [PMID: 33979099 DOI: 10.1097/coc.0000000000000831] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
OBJECTIVE This study aimed to compare diagnostic performances of 8 different imaging modalities for preoperative detection of axillary lymph node (LN) metastasis in patients with breast cancer by performing a network meta-analysis (NMA) using direct comparison studies with 2 or more imaging techniques. MATERIALS AND METHODS PubMed, Cochrane, and Embase were searched for the studies evaluating the performances of 8 different imaging modalities for preoperative axillary LN staging in patients with breast cancer. The NMA was performed in patient-based analyses. The consistency was evaluated by examining the agreement between direct and indirect treatment effects, and publication bias was assessed by funnel plot asymmetry tests. The surface under the cumulative ranking curve (SUCRA) values were obtained to calculate the probability of each imaging modality being the most effective diagnostic method. RESULTS A total of 2197 patients from 22 direct comparison studies using 8 different imaging modalities for preoperative detection of axillary LN metastasis in patients with breast cancer were included. For preoperative detection of axillary LN metastasis of breast cancer, elastography showed the highest SUCRA values of sensitivity, specificity, positive predictive value, negative predictive value, accuracy, and diagnostic odds ratio. In addition, fluorine-18 fluorodeoxyglucose positron emission tomography (PET) or PET/computed tomography, fluorine-18 fluorodeoxyglucose PET/magnetic resonance, and contrast-enhanced computed tomography showed high SUCRA values. CONCLUSION Elastography showed the highest SUCRA values. Seven imaging modalities showed the complementary diagnostic roles for preoperative detection of axillary LN metastasis in patients with breast cancer, except mammography.
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Affiliation(s)
- Keunyoung Kim
- Department of Nuclear Medicine and Biomedical Research Institute, Pusan National University Hospital, Busan
| | - Sung-Ryul Shim
- Department of Preventive Medicine, School of Medicine, Korea University, Seoul
| | - Seong-Jang Kim
- Department of Nuclear Medicine, College of Medicine, Pusan National University
- Department of Nuclear Medicine
- BioMedical Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Yangsan, Korea
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Kasem J, Wazir U, Mokbel K. Sensitivity, Specificity and the Diagnostic Accuracy of PET/CT for Axillary Staging in Patients With Stage I-III Cancer: A Systematic Review of The Literature. In Vivo 2021; 35:23-30. [PMID: 33402446 DOI: 10.21873/invivo.12228] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2020] [Revised: 11/04/2020] [Accepted: 11/06/2020] [Indexed: 01/22/2023]
Abstract
BACKGROUND/AIM Axillary lymph node (ALN) status plays a key role in the staging of breast cancer. Positron Emission Tomography/Computed Tomography (PET/CT) using 18-Fluorodeoxyglucose (18FDG) can visualise ALN metastasis. However, its utility compared to current methods is unclear. We systematically reviewed the role of 18FDG PET/CT in breast cancer staging. MATERIALS AND METHODS PubMed, Ovid and Cochrane were searched systematically up until August 2020. Included papers had true positive (TP), false positive (FP), true negative (TN) and false negative (FN) rates, sensitivity, specificity, accuracy, positive (PPV) and negative predictive value (NPV). RESULTS Nine studies (n=1486) were included, showing: i) sensitivity=52.2%, ii) specificity=91.6%, iii) PPV=77.8%, iv) NPV=77.2, and v) accuracy=77.3%. CONCLUSION 18FDG-PET/CT has a low sensitivity but high specificity for ALN disease. Therefore, ultrasound-guided biopsy could be considered in a positive CT/PET. Modest accuracy prohibits the use of 18FDG-PET/CT alone in axillary staging. Prospective research using standardised protocols and quantitative cut-off points is warranted.
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Affiliation(s)
- Judi Kasem
- London Breast Institute, Princess Grace Hospital, London, U.K
| | - Umar Wazir
- London Breast Institute, Princess Grace Hospital, London, U.K.,Department of General Surgery, Khyber Teaching Hospital, Peshawar, Pakistan
| | - Kefah Mokbel
- London Breast Institute, Princess Grace Hospital, London, U.K.;
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Le Boulc’h M, Gilhodes J, Steinmeyer Z, Molière S, Mathelin C. Pretherapeutic Imaging for Axillary Staging in Breast Cancer: A Systematic Review and Meta-Analysis of Ultrasound, MRI and FDG PET. J Clin Med 2021; 10:jcm10071543. [PMID: 33917590 PMCID: PMC8038849 DOI: 10.3390/jcm10071543] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2021] [Revised: 03/07/2021] [Accepted: 04/01/2021] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND This systematic review aimed at comparing performances of ultrasonography (US), magnetic resonance imaging (MRI), and fluorodeoxyglucose positron emission tomography (PET) for axillary staging, with a focus on micro- or micrometastases. METHODS A search for relevant studies published between January 2002 and March 2018 was conducted in MEDLINE database. Study quality was assessed using the QUality Assessment of Diagnostic Accuracy Studies checklist. Sensitivity and specificity were meta-analyzed using a bivariate random effects approach; Results: Across 62 studies (n = 10,374 patients), sensitivity and specificity to detect metastatic ALN were, respectively, 51% (95% CI: 43-59%) and 100% (95% CI: 99-100%) for US, 83% (95% CI: 72-91%) and 85% (95% CI: 72-92%) for MRI, and 49% (95% CI: 39-59%) and 94% (95% CI: 91-96%) for PET. Interestingly, US detects a significant proportion of macrometastases (false negative rate was 0.28 (0.22, 0.34) for more than 2 metastatic ALN and 0.96 (0.86, 0.99) for micrometastases). In contrast, PET tends to detect a significant proportion of micrometastases (true positive rate = 0.41 (0.29, 0.54)). Data are not available for MRI. CONCLUSIONS In comparison with MRI and PET Fluorodeoxyglucose (FDG), US is an effective technique for axillary triage, especially to detect high metastatic burden without upstaging majority of micrometastases.
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Affiliation(s)
- Morwenn Le Boulc’h
- Department of Oncologic Radiology, Claudius Regaud Institute, Institut Universitaire du Cancer de Toulouse-Oncopole, 31100 Toulouse, France;
| | - Julia Gilhodes
- Clinical Trials, Institut Universitaire du Cancer de Toulouse-Oncopole, 31100 Toulouse, France;
| | - Zara Steinmeyer
- Internal Medicine and Oncogeriatry Unit, Geriatric Department, University Hospital, Place du Docteur Baylac, CEDEX 9, 31059 Toulouse, France;
| | - Sébastien Molière
- Department of Women’s Imaging, University Hospitals of Strasbourg, 67200 Strasbourg, France;
| | - Carole Mathelin
- Surgery at ICANS Cancer Institute (Institute of Cancerology Strasbourg Europe), CEDEX, 67033 Strasbourg, France
- Correspondence: ; Tel.: +33-3-6876-7332
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Paydary K, Seraj SM, Zadeh MZ, Emamzadehfard S, Shamchi SP, Gholami S, Werner TJ, Alavi A. The Evolving Role of FDG-PET/CT in the Diagnosis, Staging, and Treatment of Breast Cancer. Mol Imaging Biol 2019. [PMID: 29516387 DOI: 10.1007/s11307-018-1181-3] [Citation(s) in RCA: 83] [Impact Index Per Article: 16.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
The applications of 2-deoxy-2-[18F]fluoro-D-glucose positron emission tomography/X-ray computed tomography (PET/CT) in the management of patients with breast cancer have been extensively studied. According to these studies, PET/CT is not routinely performed for the diagnosis of primary breast cancer, although PET/CT in specific subtypes of breast cancer correlates with histopathologic features of the primary tumor. PET/CT can detect metastases to mediastinal, axial, and internal mammary nodes, but it cannot replace the sentinel node biopsy. In detection of distant metastases, this imaging tool may have a better accuracy in detecting lytic bone metastases compared to bone scintigraphy. Thus, PET/CT is recommended when advanced-stage disease is suspected, and conventional modalities are inconclusive. Also, PET/CT has a high sensitivity and specificity to detect loco-regional recurrence and is recommended in asymptomatic patients with rising tumor markers. Numerous studies support the future role of PET/CT in prediction of response to neoadjuvant chemotherapy (NAC). PET/CT has a higher diagnostic value for prognostic risk stratification in comparison with conventional modalities. With the continuing research on the treatment planning and evaluation of patients with breast cancer, the role of PET/CT can be further extended.
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Affiliation(s)
- Koosha Paydary
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
| | | | | | | | | | - Saeid Gholami
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
| | - Thomas J Werner
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
| | - Abass Alavi
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA. .,Division of Nuclear Medicine, Department of Radiology, Hospital of the University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA, 19104, USA.
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