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Yoshikawa T, Miki S, Nakao T, Koshino S, Hayashi N, Abe O. Axillary Lymphadenopathy after Pfizer-BioNTech and Moderna COVID-19 Vaccination: MRI Evaluation. Radiology 2023; 306:270-278. [PMID: 36098641 PMCID: PMC9490792 DOI: 10.1148/radiol.220814] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2022] [Revised: 07/30/2022] [Accepted: 08/19/2022] [Indexed: 01/19/2023]
Abstract
Background COVID-19 vaccination-related axillary lymphadenopathy has become an important problem in cancer imaging. Data are needed to update or support imaging guidelines for conducting appropriate follow-up. Purpose To investigate the prevalence, predisposing factors, and MRI characteristics of COVID-19 vaccination-related axillary lymphadenopathy. Materials and Methods Prospectively collected prevaccination and postvaccination chest MRI scans were secondarily analyzed. Participants who underwent two doses of either the Pfizer-BioNTech or Moderna COVID-19 vaccine and chest MRI from June to October 2021 were included. Enlarged axillary lymph nodes were identified on postvaccination MRI scans compared with prevaccination scans. The lymph node diameter, signal intensity with T2-weighted imaging, and apparent diffusion coefficient (ADC) of the largest enlarged lymph nodes were measured. These values were compared between prevaccination and postvaccination MRI by using the Wilcoxon signed-rank test. Results Overall, 433 participants (mean age, 65 years ± 11 [SD]; 300 men and 133 women) were included. The prevalence of axillary lymphadenopathy in participants 1-14 days after vaccination was 65% (30 of 46). Participants with lymphadenopathy were younger than those without lymphadenopathy (P < .001). Female sex and the Moderna vaccine were predisposing factors (P = .005 and P = .003, respectively). Five or more enlarged lymph nodes were noted in 2% (eight of 433) of participants. Enlarged lymph nodes greater than or equal to 10 mm in the short axis were noted in 1% (four of 433) of participants. The median signal intensity relative to the muscle on T2-weighted images was 4.0; enlarged lymph nodes demonstrated a higher signal intensity (P = .002). The median ADC of enlarged lymph nodes after vaccination in 90 participants was 1.1 × 10-3 mm2/sec (range, 0.6-2.0 × 10-3 mm2/sec), thus ADC values remained normal. Conclusion Axillary lymphadenopathy after the second dose of the Pfizer-BioNTech or Moderna COVID-19 vaccines was frequent within 2 weeks after vaccination, was typically less than 10 mm in size, and had a normal apparent diffusion coefficient. © RSNA, 2022.
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Affiliation(s)
- Takeharu Yoshikawa
- From the Department of Computational Diagnostic Radiology and
Preventive Medicine (T.Y., T.N., S.K., N.H.) and Department of Radiology (S.M.,
O.A.), University of Tokyo Hospital, 7-3-1 Hongo, Bunkyo, Tokyo 113-8655,
Japan
| | - Soichiro Miki
- From the Department of Computational Diagnostic Radiology and
Preventive Medicine (T.Y., T.N., S.K., N.H.) and Department of Radiology (S.M.,
O.A.), University of Tokyo Hospital, 7-3-1 Hongo, Bunkyo, Tokyo 113-8655,
Japan
| | - Takahiro Nakao
- From the Department of Computational Diagnostic Radiology and
Preventive Medicine (T.Y., T.N., S.K., N.H.) and Department of Radiology (S.M.,
O.A.), University of Tokyo Hospital, 7-3-1 Hongo, Bunkyo, Tokyo 113-8655,
Japan
| | - Saori Koshino
- From the Department of Computational Diagnostic Radiology and
Preventive Medicine (T.Y., T.N., S.K., N.H.) and Department of Radiology (S.M.,
O.A.), University of Tokyo Hospital, 7-3-1 Hongo, Bunkyo, Tokyo 113-8655,
Japan
| | - Naoto Hayashi
- From the Department of Computational Diagnostic Radiology and
Preventive Medicine (T.Y., T.N., S.K., N.H.) and Department of Radiology (S.M.,
O.A.), University of Tokyo Hospital, 7-3-1 Hongo, Bunkyo, Tokyo 113-8655,
Japan
| | - Osamu Abe
- From the Department of Computational Diagnostic Radiology and
Preventive Medicine (T.Y., T.N., S.K., N.H.) and Department of Radiology (S.M.,
O.A.), University of Tokyo Hospital, 7-3-1 Hongo, Bunkyo, Tokyo 113-8655,
Japan
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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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Mendez AM, Fang LK, Meriwether CH, Batasin SJ, Loubrie S, Rodríguez-Soto AE, Rakow-Penner RA. Diffusion Breast MRI: Current Standard and Emerging Techniques. Front Oncol 2022; 12:844790. [PMID: 35880168 PMCID: PMC9307963 DOI: 10.3389/fonc.2022.844790] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2021] [Accepted: 05/11/2022] [Indexed: 11/13/2022] Open
Abstract
The role of diffusion weighted imaging (DWI) as a biomarker has been the subject of active investigation in the field of breast radiology. By quantifying the random motion of water within a voxel of tissue, DWI provides indirect metrics that reveal cellularity and architectural features. Studies show that data obtained from DWI may provide information related to the characterization, prognosis, and treatment response of breast cancer. The incorporation of DWI in breast imaging demonstrates its potential to serve as a non-invasive tool to help guide diagnosis and treatment. In this review, current technical literature of diffusion-weighted breast imaging will be discussed, in addition to clinical applications, advanced techniques, and emerging use in the field of radiomics.
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Affiliation(s)
- Ashley M. Mendez
- Department of Radiology, University of California San Diego, La Jolla, CA, United States
| | - Lauren K. Fang
- Department of Radiology, University of California San Diego, La Jolla, CA, United States
| | - Claire H. Meriwether
- Department of Radiology, University of California San Diego, La Jolla, CA, United States
| | - Summer J. Batasin
- Department of Radiology, University of California San Diego, La Jolla, CA, United States
| | - Stéphane Loubrie
- Department of Radiology, University of California San Diego, La Jolla, CA, United States
| | - Ana E. Rodríguez-Soto
- Department of Radiology, University of California San Diego, La Jolla, CA, United States
| | - Rebecca A. Rakow-Penner
- Department of Radiology, University of California San Diego, La Jolla, CA, United States,Department of Bioengineering, University of California San Diego, La Jolla, CA, United States,*Correspondence: Rebecca A. Rakow-Penner,
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Liu Y, Luo H, Wang C, Chen X, Wang M, Zhou P, Ren J. Diagnostic performance of T2-weighted imaging and intravoxel incoherent motion diffusion-weighted MRI for predicting metastatic axillary lymph nodes in T1 and T2 stage breast cancer. Acta Radiol 2022; 63:447-457. [PMID: 33779304 DOI: 10.1177/02841851211002834] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
BACKGROUND Non-invasive modalities for assessing axillary lymph node (ALN) are needed in clinical practice. PURPOSE To investigate the suspicious ALN on unenhanced T2-weighted (T2W) imaging and intravoxel incoherent motion diffusion-weighted imaging (IVIM DWI) for predicting ALN metastases (ALNM) in patients with T1-T2 stage breast cancer and clinically negative ALN. MATERIAL AND METHODS Two radiologists identified the most suspicious ALN or the largest ALN in negative axilla by T2W imaging features, including short axis (Size-S), long axis (Size-L)/S ratio, fatty hilum, margin, and signal intensity on T2W imaging. The IVIM parameters of these selected ALNs were also obtained. The Mann-Whitney U test or t-test was used to compare the metastatic and non-metastatic ALN groups. Finally, logistic regression analysis with T2W imaging and IVIM features for predicting ALNM was conducted. RESULTS This study included 49 patients with metastatic ALNs and 50 patients with non-metastatic ALNs. Using the above conventional features on T2W imaging, the sensitivity and specificity in predicting ALNM were not high. Compared with non-metastatic ALNs, metastatic ALNs had lower pseudo-diffusion coefficient (D*) (P = 0.043). Logistic regression analysis showed that the most useful features for predicting ALNM were signal intensity and D*. The sensitivity and specificity predicting ALNM that satisfied abnormal signal intensity and lower D* were 73.5% and 84%, respectively. CONCLUSIONS The abnormal signal intensity on T2W imaging and one IVIM feature (D*) were significantly associated with ALNM, with sensitivity of 73.5% and specificity of 84%.
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Affiliation(s)
- Yuanyuan Liu
- Division of Radiology, 92293Sichuan Cancer Hospital and Research Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology, Chengdu 61004, Sichuan, PR China
| | - Hongbing Luo
- Division of Radiology, 92293Sichuan Cancer Hospital and Research Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology, Chengdu 61004, Sichuan, PR China
| | - Chunhua Wang
- Division of Radiology, 92293Sichuan Cancer Hospital and Research Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology, Chengdu 61004, Sichuan, PR China
| | - Xiaoyu Chen
- Division of Radiology, 92293Sichuan Cancer Hospital and Research Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology, Chengdu 61004, Sichuan, PR China
| | - Min Wang
- Division of Radiology, 92293Sichuan Cancer Hospital and Research Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology, Chengdu 61004, Sichuan, PR China
| | - Peng Zhou
- Division of Radiology, 92293Sichuan Cancer Hospital and Research Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology, Chengdu 61004, Sichuan, PR China
| | - Jing Ren
- Division of Radiology, 92293Sichuan Cancer Hospital and Research Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology, Chengdu 61004, Sichuan, PR China
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Buzatto IPC, Dos Reis FJC, de Andrade JM, Rodrigues TCGF, Borba JMC, Netto AH, Polydoro MS, Tiezzi DG. Axillary ultrasound and fine-needle aspiration cytology to predict clinically relevant nodal burden in breast cancer patients. World J Surg Oncol 2021; 19:292. [PMID: 34583723 PMCID: PMC8480059 DOI: 10.1186/s12957-021-02391-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2021] [Accepted: 09/02/2021] [Indexed: 12/23/2022] Open
Abstract
Background Axillary lymph node involvement is one important prognostic factor in breast cancer, but the way to access this information has been modified over the years. This study evaluated if axillary ultrasound (US) coupled with fine-needle aspiration cytology (FNAC) can accurately predict clinically relevant node metastasis in patients with breast cancer, and thus assist clinical decisions Methods This is a cross-sectional study with retrospective data collection of 241 individuals (239 women and 2 men) with unilateral operable breast cancer who were submitted to preoperative axillary assessment by physical exam, US and FNAC if suspicious nodes by imaging. We calculated sensitivity, specificity, and accuracy of the methods. We compared the patient's characteristics using chi-square test, parametrics and non-parametrics statistics according to the variable. Results The most sensible method was US (0.59; 95% CI, 0.50–0.69), and the most specific was US coupled with FNAC (0.97; 95% CI, 0.92–0.99). Only 2.7% of the patients with normal axillary US had more than 2 metastatic nodes in the axillary lymph node dissection, against 50% of the patients with suspicious lymph nodes in the US and positive FNAC. Conclusions Axillary US coupled with FNAC can sort patients who have a few metastatic nodes at most from those with heavy axillary burden and could be one more tool to initially evaluate patients and define treatment strategies.
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Affiliation(s)
- Isabela Panzeri Carlotti Buzatto
- Department of Gynecology and Obstetrics, Breast Disease Division, Ribeirão Preto Medical School, University of São Paulo, Avenida Bandeirantes 3.900, Monte Alegre, Ribeirao Preto, São Paulo, SP, Brazil
| | - Francisco José Cândido Dos Reis
- Department of Gynecology and Obstetrics, Breast Disease Division, Ribeirão Preto Medical School, University of São Paulo, Avenida Bandeirantes 3.900, Monte Alegre, Ribeirao Preto, São Paulo, SP, Brazil
| | - Jurandyr Moreira de Andrade
- Department of Gynecology and Obstetrics, Breast Disease Division, Ribeirão Preto Medical School, University of São Paulo, Avenida Bandeirantes 3.900, Monte Alegre, Ribeirao Preto, São Paulo, SP, Brazil
| | - Tamara Cristina Gomes Ferraz Rodrigues
- Department of Gynecology and Obstetrics, Breast Disease Division, Ribeirão Preto Medical School, University of São Paulo, Avenida Bandeirantes 3.900, Monte Alegre, Ribeirao Preto, São Paulo, SP, Brazil
| | - Jéssica Maria Camargo Borba
- Department of Gynecology and Obstetrics, Breast Disease Division, Ribeirão Preto Medical School, University of São Paulo, Avenida Bandeirantes 3.900, Monte Alegre, Ribeirao Preto, São Paulo, SP, Brazil
| | - Amanda Homse Netto
- Department of Gynecology and Obstetrics, Breast Disease Division, Ribeirão Preto Medical School, University of São Paulo, Avenida Bandeirantes 3.900, Monte Alegre, Ribeirao Preto, São Paulo, SP, Brazil
| | - Marina Sconzo Polydoro
- Department of Gynecology and Obstetrics, Breast Disease Division, Ribeirão Preto Medical School, University of São Paulo, Avenida Bandeirantes 3.900, Monte Alegre, Ribeirao Preto, São Paulo, SP, Brazil
| | - Daniel Guimarães Tiezzi
- Department of Gynecology and Obstetrics, Breast Disease Division, Ribeirão Preto Medical School, University of São Paulo, Avenida Bandeirantes 3.900, Monte Alegre, Ribeirao Preto, São Paulo, SP, Brazil.
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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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Buus TW, Sivesgaard K, Fris TL, Christiansen PM, Jensen AB, Pedersen EM. Fat fractions from high-resolution 3D radial Dixon MRI for predicting metastatic axillary lymph nodes in breast cancer patients. Eur J Radiol Open 2020; 7:100284. [PMID: 33204769 PMCID: PMC7653281 DOI: 10.1016/j.ejro.2020.100284] [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: 06/25/2020] [Revised: 10/21/2020] [Accepted: 10/25/2020] [Indexed: 12/24/2022] Open
Abstract
High-Resolution 3D radial Dixon MRI allows for the creation of quantitative fat fraction images. Lymph node fat fractions improves diagnostic performance of MRI to detect axillary lymph node metastases. Lymph node fat fractions are a promising quantitative indicator of metastases in axillary lymph nodes.
Purpose To assess diagnostic performance of fat fractions (FF) from high-resolution 3D radial Dixon MRI for differentiating metastatic and non-metastatic axillary lymph nodes in breast cancer patients. Method High-resolution 3D radial Dixon MRI was prospectively performed on 1.5 T in 70 biopsy-verified breast cancer patients. 35 patients were available for analysis with histopathologic and imaging data. FF images were calculated as fat / in-phase. Two radiologists measured lymph node FF and assessed morphological features in one ipsilateral and one contralateral lymph node in consensus. Diagnostic performance of lymph node FF and morphological criteria were compared using histopathology as reference. Results 22 patients had metastatic axillary lymph nodes. Mean lymph node FF were 0.20 ± 0.073, 0.31 ± 0.079, and 0.34 ± 0.15 (metastatic, non-metastatic ipsi- and non-metastatic contralateral lymph nodes, respectively). Metastatic lymph node FF were significantly lower than non-metastatic ipsi- (p < 0.001) and contralateral lymph nodes (p < 0.001). Area under the receiver operating characteristics curve for lymph node FF was 0.80 compared to 0.76 for morphological criteria (p = 0.29). Lymph node FF yielded sensitivity 0.91, specificity 0.69, positive predictive value (PPV) 0.83, and negative predictive value (NPV) 0.82, while morphological criteria yielded sensitivity 0.91, specificity 0.62, PPV 0.80, and NPV 0.80 (p = 0.71). Combining lymph node FF and morphological criteria increased diagnostic performance with sensitivity 1.00, specificity 0.67, PPV 0.86, NPV 1.00, and AUC 0.83. Conclusions Lymph node FF from high-resolution 3D Dixon images are a promising quantitative indicator of metastases in axillary lymph nodes.
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Key Words
- ADC, apparent diffusion coefficient
- ALND, axillary lymph node dissection
- AUC, area under the ROC curve
- Axilla
- Breast neoplasms
- DWI, diffusion-weighted imaging
- F, fat
- FF, fat fraction
- IDC, invasive ductal carcinoma
- ILC, invasive lobular carcinoma
- IP, in-phase
- LN, lymph node
- Lymphatic metastasis
- Magnetic resonance imaging
- NPV, negative predictive value
- OP, opposed-phase
- PPV, positive predictive value
- ROC, receiver operating characteristics
- ROI, region of interest
- SLNB, sentinel lymph node biopsy
- SPAIR, spectral attenuated inversion recovery
- STIR, short tau inversion recovery
- TE, echo time
- TR, repetition time
- US, ultrasonography
- W, water
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Affiliation(s)
- Thomas Winther Buus
- Department of Radiology, Aarhus University Hospital, Palle Juul-Jensens Boulevard 99, 8200, Aarhus N, Denmark
| | - Kim Sivesgaard
- Department of Radiology, Aarhus University Hospital, Palle Juul-Jensens Boulevard 99, 8200, Aarhus N, Denmark
| | - Tanja Linde Fris
- Department of Plastic and Breast Surgery, Aarhus University Hospital, Palle Juul-Jensens Boulevard 35, 8200, Aarhus N, Denmark
| | - Peer Michael Christiansen
- Department of Plastic and Breast Surgery, Aarhus University Hospital, Palle Juul-Jensens Boulevard 35, 8200, Aarhus N, Denmark
| | - Anders Bonde Jensen
- Department of Oncology, Aarhus University Hospital, Palle Juul-Jensens Boulevard 99, 8200, Aarhus N, Denmark
| | - Erik Morre Pedersen
- Department of Radiology, Aarhus University Hospital, Palle Juul-Jensens Boulevard 99, 8200, Aarhus N, Denmark
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Ramírez-Galván YA, Cardona-Huerta S, Elizondo-Riojas G, Álvarez-Villalobos NA, Campos-Coy MA, Ferrara-Chapa CM. Does axillary lymph node size predict better metastatic involvement than apparent diffusion coefficient (ADC) value in women with newly diagnosed breast cancer? Acta Radiol 2020; 61:1494-1504. [PMID: 32064890 DOI: 10.1177/0284185120903449] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
BACKGROUND It has been demonstrated that the number of metastatic axillary lymph nodes (mALNs) influence disease-free and overall survival in patients with breast cancer. PURPOSE To determine if the ALN size is more accurate than the ALN apparent diffusion coefficient (ADC) value to predict metastatic involvement in newly diagnosed breast cancer. MATERIAL AND METHODS A total of 44 patients with breast cancer were included. Magnetic resonance imaging (MRI) examinations were performed on a 1.5-T system with sagittal T1-weighted fast spin-echo non-fat saturated, sagittal T2-weighted fast spin-echo non-fat saturated, axial diffusion-weighted imaging echo-planar (b values of 0 and 700 s/mm2), and non-contrast axial VIBRANT sequences. The size and the ADC value were obtained for ALN ipsilateral and contralateral to breast cancer. The reference standard was the histopathologic lymph node status. RESULTS mALN had a greater cortical thickness compared to contralateral non-mALN (10.3 ± 5.32 mm vs. 4 ± 1.17 mm, P ≤ 0.001). The threshold of ≥6.7 mm for predicting axillary metastatic involvement had a sensitivity and a specificity of 80.0% and 97.7%, respectively. The ADC value of mALN was significantly higher than the contralateral non-mALN (0.90 ± 0.12 × 10-3mm2/s vs. 0.78 ± 0.12 × 10-3mm2/s; P = 0.001). The threshold of ≥0.86 × 10-3mm2/s had a sensitivity and a specificity of 66.7% and 76.7%, respectively. CONCLUSION Our results indicate that the cortical thickness has a better diagnostic performance in the differentiation of metastatic and non-metastatic lymph nodes than the lymph node ADC.
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Affiliation(s)
- Yazmín Aseret Ramírez-Galván
- Department of Radiology and Imaging, Faculty of Medicine, Hospital Universitario “Dr. José Eleuterio González,” Universidad Autonoma de Nuevo Leon, Monterrey, Nuevo León, México
| | - Servando Cardona-Huerta
- Breast Cancer Center, Hospital Zambrano Hellion, Tecnológico de Monterrey, San Pedro Garza García, Nuevo León, México
| | - Guillermo Elizondo-Riojas
- Department of Radiology and Imaging, Faculty of Medicine, Hospital Universitario “Dr. José Eleuterio González,” Universidad Autonoma de Nuevo Leon, Monterrey, Nuevo León, México
| | - Neri Alejandro Álvarez-Villalobos
- Clinical Research Unit, Hospital Universitario “Dr. José Eleuterio González,” Universidad Autonoma de Nuevo Leon, Monterrey, Nuevo León, México
| | - Mario Alberto Campos-Coy
- Department of Radiology and Imaging, Faculty of Medicine, Hospital Universitario “Dr. José Eleuterio González,” Universidad Autonoma de Nuevo Leon, Monterrey, Nuevo León, México
| | - Carla Melissa Ferrara-Chapa
- Department of Radiology and Imaging, Faculty of Medicine, Hospital Universitario “Dr. José Eleuterio González,” Universidad Autonoma de Nuevo Leon, Monterrey, Nuevo León, México
- Department of Radiology and Imaging, Hospital General de Zona #33, Instituto Mexicano del Seguro Social, Monterrey, Nuevo León, México
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Lee SH, Shin HJ, Moon WK. Diffusion-Weighted Magnetic Resonance Imaging of the Breast: Standardization of Image Acquisition and Interpretation. Korean J Radiol 2020; 22:9-22. [PMID: 32901461 PMCID: PMC7772373 DOI: 10.3348/kjr.2020.0093] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2020] [Revised: 05/06/2020] [Accepted: 05/09/2020] [Indexed: 12/12/2022] Open
Abstract
Diffusion-weighted (DW) magnetic resonance imaging (MRI) is a rapid, unenhanced imaging technique that measures the motion of water molecules within tissues and provides information regarding the cell density and tissue microstructure. DW MRI has demonstrated the potential to improve the specificity of breast MRI, facilitate the evaluation of tumor response to neoadjuvant chemotherapy and can be employed in unenhanced MRI screening. However, standardization of the acquisition and interpretation of DW MRI is challenging. Recently, the European Society of Breast Radiology issued a consensus statement, which described the acquisition parameters and interpretation of DW MRI. The current article describes the basic principles, standardized acquisition protocols and interpretation guidelines, and the clinical applications of DW MRI in breast imaging.
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Affiliation(s)
- Su Hyun Lee
- Department of Radiology, Seoul National University Hospital, Seoul, Korea
| | - Hee Jung Shin
- Department of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Woo Kyung Moon
- Department of Radiology, Seoul National University Hospital, Seoul, Korea.
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10
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Zhang X, Liu Y, Luo H, Zhang J. PET
/
CT
and
MRI
for Identifying Axillary Lymph Node Metastases in Breast Cancer Patients: Systematic Review and Meta‐Analysis. J Magn Reson Imaging 2020; 52:1840-1851. [PMID: 32567090 DOI: 10.1002/jmri.27246] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2020] [Revised: 05/19/2020] [Accepted: 05/20/2020] [Indexed: 11/08/2022] Open
Affiliation(s)
- Xin Zhang
- Department of Breast Surgery, Sichuan Cancer Hospital and Research Institute, Sichuan Cancer Center, School of Medicine University of Electronic Science and Technology Chengdu China
| | - Yuanyuan Liu
- Division of Radiology, Sichuan Cancer Hospital and Research Institute, Sichuan Cancer Center, School of Medicine University of Electronic Science and Technology Chengdu China
| | - Hongbing Luo
- Division of Radiology, Sichuan Cancer Hospital and Research Institute, Sichuan Cancer Center, School of Medicine University of Electronic Science and Technology Chengdu China
| | - Jianhui Zhang
- Department of Breast Surgery, Sichuan Cancer Hospital and Research Institute, Sichuan Cancer Center, School of Medicine University of Electronic Science and Technology Chengdu China
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Perrin J, Capitao M, Mougin-Degraef M, Guérard F, Faivre-Chauvet A, Rbah-Vidal L, Gaschet J, Guilloux Y, Kraeber-Bodéré F, Chérel M, Barbet J. Cell Tracking in Cancer Immunotherapy. Front Med (Lausanne) 2020; 7:34. [PMID: 32118018 PMCID: PMC7033605 DOI: 10.3389/fmed.2020.00034] [Citation(s) in RCA: 43] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2019] [Accepted: 01/23/2020] [Indexed: 12/19/2022] Open
Abstract
The impressive development of cancer immunotherapy in the last few years originates from a more precise understanding of control mechanisms in the immune system leading to the discovery of new targets and new therapeutic tools. Since different stages of disease progression elicit different local and systemic inflammatory responses, the ability to longitudinally interrogate the migration and expansion of immune cells throughout the whole body will greatly facilitate disease characterization and guide selection of appropriate treatment regiments. While using radiolabeled white blood cells to detect inflammatory lesions has been a classical nuclear medicine technique for years, new non-invasive methods for monitoring the distribution and migration of biologically active cells in living organisms have emerged. They are designed to improve detection sensitivity and allow for a better preservation of cell activity and integrity. These methods include the monitoring of therapeutic cells but also of all cells related to a specific disease or therapeutic approach. Labeling of therapeutic cells for imaging may be performed in vitro, with some limitations on sensitivity and duration of observation. Alternatively, in vivo cell tracking may be performed by genetically engineering cells or mice so that may be revealed through imaging. In addition, SPECT or PET imaging based on monoclonal antibodies has been used to detect tumors in the human body for years. They may be used to detect and quantify the presence of specific cells within cancer lesions. These methods have been the object of several recent reviews that have concentrated on technical aspects, stressing the differences between direct and indirect labeling. They are briefly described here by distinguishing ex vivo (labeling cells with paramagnetic, radioactive, or fluorescent tracers) and in vivo (in vivo capture of injected radioactive, fluorescent or luminescent tracers, or by using labeled antibodies, ligands, or pre-targeted clickable substrates) imaging methods. This review focuses on cell tracking in specific therapeutic applications, namely cell therapy, and particularly CAR (Chimeric Antigen Receptor) T-cell therapy, which is a fast-growing research field with various therapeutic indications. The potential impact of imaging on the progress of these new therapeutic modalities is discussed.
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Affiliation(s)
- Justine Perrin
- CRCINA, INSERM, CNRS, Université d'Angers, Université de Nantes, Nantes, France
| | - Marisa Capitao
- CRCINA, INSERM, CNRS, Université d'Angers, Université de Nantes, Nantes, France
| | - Marie Mougin-Degraef
- CRCINA, INSERM, CNRS, Université d'Angers, Université de Nantes, Nantes, France.,Nuclear Medicine, University Hospital, Nantes, France
| | - François Guérard
- CRCINA, INSERM, CNRS, Université d'Angers, Université de Nantes, Nantes, France
| | - Alain Faivre-Chauvet
- CRCINA, INSERM, CNRS, Université d'Angers, Université de Nantes, Nantes, France.,Nuclear Medicine, University Hospital, Nantes, France
| | - Latifa Rbah-Vidal
- CRCINA, INSERM, CNRS, Université d'Angers, Université de Nantes, Nantes, France
| | - Joëlle Gaschet
- CRCINA, INSERM, CNRS, Université d'Angers, Université de Nantes, Nantes, France
| | - Yannick Guilloux
- CRCINA, INSERM, CNRS, Université d'Angers, Université de Nantes, Nantes, France
| | - Françoise Kraeber-Bodéré
- CRCINA, INSERM, CNRS, Université d'Angers, Université de Nantes, Nantes, France.,Nuclear Medicine, University Hospital, Nantes, France.,Nuclear Medicine, ICO Cancer Center, Saint-Herblain, France
| | - Michel Chérel
- CRCINA, INSERM, CNRS, Université d'Angers, Université de Nantes, Nantes, France.,Nuclear Medicine, ICO Cancer Center, Saint-Herblain, France
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Choi EJ, Youk JH, Choi H, Song JS. Dynamic contrast-enhanced and diffusion-weighted MRI of invasive breast cancer for the prediction of sentinel lymph node status. J Magn Reson Imaging 2020; 51:615-626. [PMID: 31313393 DOI: 10.1002/jmri.26865] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2019] [Revised: 06/26/2019] [Accepted: 06/27/2019] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND Although sentinel lymph node biopsy (SLNB) is the current standard for identifying lymph metastasis in breast cancer patients, there are complications of SLNB. PURPOSE To evaluate preoperative dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) and diffusion-weighted imaging (DWI) of invasive breast cancer for predicting sentinel lymph node metastasis. STUDY TYPE Retrospective. POPULATION In all, 309 patients who underwent clinically node-negative invasive breast cancer surgery FIELD STRENGTH/SEQUENCE: 3.0T, DCE-MRI, DWI. ASSESSMENT We collected clinicopathologic variables (age, histologic and nuclear grade, extensive intraductal carcinoma component, lymphovascular invasion, and immunohistochemical profiles) and preoperative MRI features (tumor size, background parenchymal enhancement, internal enhancement, adjacent vessel sign, whole-breast vascularity, initial enhancement pattern, kinetic curve types, quantitative kinetic parameters, tumoral apparent diffusion coefficient [ADC], peritumoral maximal ADC, and peritumoral-tumoral ADC ratio). STATISTICAL TESTS Multivariate logistic regressions were performed to determine independent variables associated with SLN metastasis, and the area under the receiver operating characteristic curve (AUC) was analyzed for those variables. RESULTS 41 (13.3%) of the patients showed SLN metastasis. With MRI, tumor size (odds ratio [OR], 1.11; 95% confidence interval [CI], 1.06-1.17), heterogeneous (OR, 5.33; 95% CI, 1.71-16.58), and rim (OR, 15.54; 95% CI, 2.12-113.72) enhancement and peritumoral-tumoral ADC ratio (OR, 72.79; 95% CI, 7.15-740.82) were independently associated with SLN metastasis. Clinicopathologic variables independently associated with SLN metastasis included age (OR, 0.96; 95% CI, 0.92-0.99) and CD31 (OR, 2.90; 95% CI, 1.04-8.92). The area under the curve (AUC) of MRI features (0.80; 95% CI, 0.73-0.87) was significantly higher than for clinicopathologic variables (0.68; 95% CI, 0.60-0.77; P = 0.048) and was barely below statistical significance for combined MRI features with clinicopathologic variables (0.84; 95% CI 0.78-0.90, P = 0.057). DATA CONCLUSION Preoperative internal enhancement on DCE-MRI and peritumoral-tumoral ADC ratio on DWI might be useful for predicting SLN metastasis in patients with invasive breast cancer. LEVEL OF EVIDENCE 3 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2020;51:615-626.
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Affiliation(s)
- Eun Jung Choi
- Department of Radiology, Research Institute of Clinical Medicine of Chonbuk National University - Biomedical Research Institute of Chonbuk National University Hospital, Chonbuk National University Medical School, Jeonju City, South Korea
| | - Ji Hyun Youk
- Department of Radiology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea
| | - Hyemi Choi
- Department of Statistics, Research Institute of Applied Statistics, Chonbuk National University, Jeonbuk, 54896, South Korea
| | - Ji Soo Song
- Department of Radiology, Research Institute of Clinical Medicine of Chonbuk National University - Biomedical Research Institute of Chonbuk National University Hospital, Chonbuk National University Medical School, Jeonju City, South Korea
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Ianuş A, Santiago I, Galzerano A, Montesinos P, Loução N, Sanchez-Gonzalez J, Alexander DC, Matos C, Shemesh N. Higher-order diffusion MRI characterization of mesorectal lymph nodes in rectal cancer. Magn Reson Med 2019; 84:348-364. [PMID: 31850546 DOI: 10.1002/mrm.28102] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2019] [Revised: 11/05/2019] [Accepted: 11/07/2019] [Indexed: 01/02/2023]
Abstract
PURPOSE Mesorectal lymph node staging plays an important role in treatment decision making. Here, we explore the benefit of higher-order diffusion MRI models accounting for non-Gaussian diffusion effects to classify mesorectal lymph nodes both 1) ex vivo at ultrahigh field correlated with histology and 2) in vivo in a clinical scanner upon patient staging. METHODS The preclinical investigation included 54 mesorectal lymph nodes, which were scanned at 16.4 T with an extensive diffusion MRI acquisition. Eight diffusion models were compared in terms of goodness of fit, lymph node classification ability, and histology correlation. In the clinical part of this study, 10 rectal cancer patients were scanned with diffusion MRI at 1.5 T, and 72 lymph nodes were analyzed with Apparent Diffusion Coefficient (ADC), Intravoxel Incoherent Motion (IVIM), Kurtosis, and IVIM-Kurtosis. RESULTS Compartment models including restricted and anisotropic diffusion improved the preclinical data fit, as well as the lymph node classification, compared to standard ADC. The comparison with histology revealed only moderate correlations, and the highest values were observed between diffusion anisotropy metrics and cell area fraction. In the clinical study, the diffusivity from IVIM-Kurtosis was the only metric showing significant differences between benign (0.80 ± 0.30 μm2 /ms) and malignant (1.02 ± 0.41 μm2 /ms, P = .03) nodes. IVIM-Kurtosis also yielded the largest area under the receiver operating characteristic curve (0.73) and significantly improved the node differentiation when added to the standard visual analysis by experts based on T2 -weighted imaging. CONCLUSION Higher-order diffusion MRI models perform better than standard ADC and may be of added value for mesorectal lymph node classification in rectal cancer patients.
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Affiliation(s)
- Andrada Ianuş
- Champalimaud Research, Champalimaud Centre for the Unknown, Lisbon, Portugal.,Centre for Medical Image Computing, University College London, London, United Kingdom
| | - Ines Santiago
- Champalimaud Clinical Centre, Champalimaud Centre for the Unknown, Lisbon, Portugal.,Nova Medical School, Lisbon, Portugal
| | - Antonio Galzerano
- Champalimaud Clinical Centre, Champalimaud Centre for the Unknown, Lisbon, Portugal
| | | | | | | | - Daniel C Alexander
- Centre for Medical Image Computing, University College London, London, United Kingdom
| | - Celso Matos
- Champalimaud Research, Champalimaud Centre for the Unknown, Lisbon, Portugal.,Champalimaud Clinical Centre, Champalimaud Centre for the Unknown, Lisbon, Portugal
| | - Noam Shemesh
- Champalimaud Research, Champalimaud Centre for the Unknown, Lisbon, Portugal
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Quelles sont les meilleures méthodes d’imagerie actuelle pour statuer sur le stade N0 radiologique avant le traitement des cancers du sein ? IMAGERIE DE LA FEMME 2019. [DOI: 10.1016/j.femme.2019.05.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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15
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Kato F, Kudo K, Yamashita H, Baba M, Shimizu A, Oyama-Manabe N, Kinoshita R, Li R, Shirato H. Predicting metastasis in clinically negative axillary lymph nodes with minimum apparent diffusion coefficient value in luminal A-like breast cancer. Breast Cancer 2019; 26:628-636. [PMID: 30937834 DOI: 10.1007/s12282-019-00969-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2018] [Accepted: 03/16/2019] [Indexed: 12/26/2022]
Abstract
BACKGROUND We investigated the usefulness of the minimum ADC value of primary breast lesions for predicting axillary lymph node (LN) status in luminal A-like breast cancers with clinically negative nodes in comparison with the mean ADC. METHODS Forty-four luminal A-like breast cancers without axillary LN metastasis at preoperative clinical evaluation, surgically resected with sentinel LN biopsy, were retrospectively studied. Mean and minimum ADC values of each lesion were measured and statistically compared between LN positive (n = 12) and LN negative (n = 32) groups. An ROC curve was drawn to determine the best cutoff value to differentiate LN status. Correlations between mean and minimum ADC values and the number of metastatic axillary LNs were investigated. RESULTS Mean and minimum ADC values of breast lesions with positive LN were significantly lower than those with negative LN (mean 839.9 ± 110.9 vs. 1022.2 ± 250.0 × 10- 6 mm2/s, p = 0.027, minimum 696.7 ± 128.0 vs. 925.0 ± 257.6 × 10- 6 mm2/s, p = 0.004). The sensitivity and NPV using the best cutoff value from ROC using both mean and minimum ADC were 100%. AUC of the minimum ADC (0.784) was higher than that of the mean ADC (0.719). Statistically significant negative correlations were observed between both mean and minimum ADCs and number of positive LNs, with stronger correlation to minimum ADC than mean ADC. CONCLUSIONS The minimum ADC value of primary breast lesions predicts axillary LN metastasis in luminal A-like breast cancer with clinically negative nodes, with high sensitivity and high NPV.
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Affiliation(s)
- Fumi Kato
- Department of Diagnostic and Interventional Radiology, Hokkaido University Hospital, N14, W5, Kita-ku, Sapporo, 060-8648, Japan.
| | - Kohsuke Kudo
- Department of Diagnostic and Interventional Radiology, Hokkaido University Hospital, N14, W5, Kita-ku, Sapporo, 060-8648, Japan.,Global Station for Quantum Medical Science and Engineering, Global Institution for Collaborative Research and Education, Hokkaido University, N14, W5, Kita-ku, Sapporo, 060-8648, Japan
| | - Hiroko Yamashita
- Department of Breast Surgery, Hokkaido University Hospital, N14, W5, Kita-ku, Sapporo, 060-8648, Japan
| | - Motoi Baba
- Department of Breast Surgery, Hokkaido University Hospital, N14, W5, Kita-ku, Sapporo, 060-8648, Japan
| | - Ai Shimizu
- Department of Surgical Pathology, Hokkaido University Hospital, N14, W5, Kita-ku, Sapporo, 060-8648, Japan
| | - Noriko Oyama-Manabe
- Department of Diagnostic and Interventional Radiology, Hokkaido University Hospital, N14, W5, Kita-ku, Sapporo, 060-8648, Japan
| | - Rumiko Kinoshita
- Department of Radiation Oncology, Hokkaido University Hospital, N14, W5, Kita-ku, Sapporo, 060-8648, Japan
| | - Ruijiang Li
- Department of Radiation Oncology, Stanford University School of Medicine, 1070 Arastradero Rd., Palo Alto, CA, 94304, USA
| | - Hiroki Shirato
- Global Station for Quantum Medical Science and Engineering, Global Institution for Collaborative Research and Education, Hokkaido University, N14, W5, Kita-ku, Sapporo, 060-8648, Japan.,Department of Radiation Medicine, Hokkaido University Graduate School of Medicine, N15, W7, Kita-ku, Sapporo, 060-8638, Japan
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Dejust S. L’exploration axillaire : un standard du bilan préthérapeutique. ONCOLOGIE 2019. [DOI: 10.3166/onco-2019-0031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
L’exploration préthérapeutique axillaire est une étape majeure du bilan initial du cancer du sein. L’échographie associée à un prélèvement est actuellement recommandée en première intention. L’IRM et la TEP/TDM au 18FDG sont utiles dans l’évaluation ganglionnaire axillaire. Les sensibilités et spécificités des examens d’imagerie sont globalement identiques, et leur combinaison permet d’obtenir les meilleures performances. Actuellement, la technique du ganglion sentinelle est indispensable en cas de tumeurs mammaires T1-T2 N0 et en cas d’adénopathie suspecte échographiquement avec cytoponction ou microbiopsie négative.
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Long 龙淼淼 M, Wang 王蕾 L, Mou 牟玲 L, Zhang 张可 K, Liu 刘丽华 L, Li 李艳艳 Y, Liu 刘晓斌 X, Yu 于文娟 W, Gao 高光峰 G, Chen 陈新娟 X, Shen 沈文 W, Shrestha A. Z-Score transformation of ADC values: A way to universal cut off between malignant and benign lymph nodes. Eur J Radiol 2018; 106:122-127. [PMID: 30150033 DOI: 10.1016/j.ejrad.2018.07.022] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2017] [Revised: 07/08/2018] [Accepted: 07/25/2018] [Indexed: 12/24/2022]
Abstract
PURPOSE To determine the possibility of a universal cut off value between benign and malignant lymph nodes in patients with tumour by Z-Score transformation method. MATERIALS AND METHODS Diffusion weighted imaging, ADC measurements of malignant and benign lymph nodes of 6 studies (4 body parts), conducted for 5 times, in two institutions with variable technical details were analyzed in their original value as well as the standardized Z-Score value. The standardized Z-Score value was obtained by subtracting the population mean of the control group from an individual raw score and then dividing the difference by the population standard deviation of the control group. General cut off values were obtained by both Mega-analysis by receiver operator characteristic curve analysis, when data from the 6 studies were combined and Meta-analysis with weighting coefficients and cut off values of the six individual studies. Sensitivity, specificity and accuracy with cut offs from individual studies, meta-analysis and mega-analysis were calculated. Kappa test was performed to assess the consistency of diagnostic test accuracy, between optimized cut offs of individual studies and the proposed universal cut offs obtained from meta-analysis and mega-analysis. RESULTS The ADC values of benign and malignant lymph nodes are significantly different, but with large overlap across the studies. The overlap can be minimized by Z-Score transformation. The result of ROC analysis of the collective Z-Score transformed ADC values of 6 studies was superior to that of the collective original ADC values (sensitivity: 87.4% versus 67.2%, specificity: 90.5% versus 87.9%, accuracy: 89.6% versus 81.4%). The universal Z-Score cut off from Meta-analysis is also better than the original ADC cut off (sensitivity: 82.8% versus 76.3%, specificity 92.6% versus 62.9%, accuracy 89.6% versus 67.1%). Applied to the individual studies, the universal transformed Z-Score cut offs produced superior consistency with the individual optimal cut offs (individual and meta Z-Score: 0.7228-0.9793; individual and mega Z-Score: 0.7111-0.9169) compared with the universal original ADC cut offs (individual and meta ADC: 0.3030-1.0000; individual and mega ADC 0.3268-0.9618). CONCLUSION Z-Score transformation could minimize inter-study variations due to heterogeneity of MR systems and sequence parameters, and provide a more consistent universal cut off value between benign and malignant nodes across studies.
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Affiliation(s)
- Miaomiao Long 龙淼淼
- Department of Radiology, Tianjin First Center Hospital, Tianjin 300192, China.
| | - Lei Wang 王蕾
- School of Chinese Medicine, Tianjin University of TCM, Tianjin 300193, China
| | - Ling Mou 牟玲
- Department of Radiology, People's Hospital of Rizhao City, Rizhao, 276827, China
| | - Ke Zhang 张可
- Department of Radiology, People's Hospital of Rizhao City, Rizhao, 276827, China
| | - Lihua Liu 刘丽华
- Department of Radiology, Tianjin First Center Hospital, Tianjin 300192, China
| | - Yanyan Li 李艳艳
- Department of Radiology, Tianjin First Center Hospital, Tianjin 300192, China
| | - Xiaobin Liu 刘晓斌
- Department of Radiology, Tianjin First Center Hospital, Tianjin 300192, China
| | - Wenjuan Yu 于文娟
- Department of Radiology, Tianjin First Center Hospital, Tianjin 300192, China
| | - Guangfeng Gao 高光峰
- Department of Radiology, Tianjin First Center Hospital, Tianjin 300192, China
| | - Xinjuan Chen 陈新娟
- Department of Radiology, Tianjin First Center Hospital, Tianjin 300192, China; Academic Affairs Office, Weifang Medical University, City Weifang, 261053, China
| | - Wen Shen 沈文
- Department of Radiology, Tianjin First Center Hospital, Tianjin 300192, China
| | - Apurwa Shrestha
- Department of Radiology, Tianjin First Center Hospital, Tianjin 300192, China
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Abstract
Breast magnetic resonance imaging (MRI) is the most sensitive of the available imaging modalities to characterize breast cancer. Breast MRI has gained clinical acceptance for screening high-risk patients, but its role in the preoperative imaging of breast cancer patients remains controversial. This review focuses on the current indications for staging breast MRI, the evidence for and against the role of breast MRI in the preoperative staging workup, and the evaluation of treatment response of breast cancer patients.
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BI-RADS 3-5 microcalcifications: prediction of lymph node metastasis of breast cancer. Oncotarget 2018; 8:30190-30198. [PMID: 28415815 PMCID: PMC5444736 DOI: 10.18632/oncotarget.16318] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2016] [Accepted: 03/08/2017] [Indexed: 12/20/2022] Open
Abstract
Purpose To determine whether the clinicopathological parameters and Breast Imaging Reporting and Data System (BI-RADS) 3–5 microcalcifications differed between lymph node positive (LN (+)) and lymph node negative (LN (−)) invasive ductal carcinoma (IDC). Results For microcalcification-associated breast cancers, seven selected features (age, tumor size, Ki-67 status, lymphovascular invasion, calcification range, calcification diameter and calcification density) were significantly associated with LN status (all P < 0.05). Multivariate logistic regression analysis found that three risk factors (age: older vs. younger OR: 0.973 P = 0.006, tumor size: larger vs. smaller OR: 1.671, P < 0.001 and calcification density: calcifications > 20/cm2 vs. calcifications ≤ 20/cm2 OR: 1.698, P < 0.001) were significant independent predictors. This model had an area under the receiver operating characteristic curve (AUC) of 0.701. The nodal staging (N0 and N1 χ2 = 5.701, P = 0.017; N0 and N2 χ2 = 6.614, P = 0.013) was significantly positively associated with calcification density. The luminal B subtype had the highest risk of LN metastasis. Multivariate analysis demonstrated that calcification > 2 cm in range (OR: 2.209) and larger tumor size (OR: 1.882) were independently predictive of LN metastasis in the luminal B subtype (AUC = 0.667). Materials and Methods Mammographic images of 419 female breast cancer patients were included. Associations between the risk factors and LN status were evaluated using a Chi-square test, ANOVA and binary logistic regression analysis. Conclusions This study found that age, tumor size and calcifications density can be conveniently used to facilitate the preoperative prediction of LN metastasis. The luminal B subtype has the highest risk of LN metastasis among the microcalcification-associated breast cancers.
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Lymph drainage of the upper limb and mammary region to the axilla: anatomical study in stillborns. Breast Cancer Res Treat 2018; 169:251-256. [PMID: 29380209 DOI: 10.1007/s10549-018-4686-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2017] [Accepted: 01/21/2018] [Indexed: 10/18/2022]
Abstract
PURPOSE We studied the lymphatic drainage of the upper limb and mammary region directing to the axilla to investigate whether independent pathways can be observed or whether anastomoses and shared drainage occur between them. This analysis aimed to assess the safety of axillary reverse mapping (ARM) in breast cancer treatment and to understand the development of lymphedema after sentinel lymph node biopsy (SLNB) alone. METHODS Seven unfixed stillborn fetuses were injected with a modified Gerota mass in the peri-areolar area, palm and dorsum of the hands, formalin fixed, and then submerged in 10% hydrogen peroxide solution. Microsurgical dissection was then performed on the subcutaneous cellular tissue of the upper limb, axillary region, and anterior thorax to expose the lymphatic vessels and lymph nodes. RESULTS The dye injected into the upper limb reached either the lateral axillary group, known to be exclusively responsible for upper limb drainage, or the anterior group, which is typically related to breast drainage. There was great proximity among the pathways and lymph nodes. Communicating lymphatic vessels among these groups of lymph nodes were also found in all studied cases. DISCUSSION Lymphedema remains a challenging morbidity in breast cancer treatment. ARM and SLNB aim to avoid unnecessary damage to the lymphatic drainage of the upper limb. However, our anatomical study suggests that ARM may have potential oncological risks because preserved lymph nodes may harbor malignant cells due their proximity, overlapping drainage pathways, and connecting lymph vessels among lymph nodes.
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Bekhouche A, Tardivon A. Statut ganglionnaire axillaire chez les patientes prises en charge pour un cancer du sein : évaluation préopératoire et évolution de la prise en charge. IMAGERIE DE LA FEMME 2017. [DOI: 10.1016/j.femme.2017.01.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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