Literature DB >> 30311705

3.0 T relaxation time measurements of human lymph nodes in adults with and without lymphatic insufficiency: Implications for magnetic resonance lymphatic imaging.

Rachelle Crescenzi1, Paula M Donahue2,3, Vaughn G Braxton1, Allison O Scott1, Helen B Mahany1, Sarah K Lants1, Manus J Donahue1,4,5,6.   

Abstract

The purpose of this work was to quantify 3.0 T (i) T1 and T2 relaxation times of in vivo human lymph nodes (LNs) and (ii) LN relaxometry differences between healthy LNs and LNs from patients with lymphatic insufficiency secondary to breast cancer treatment-related lymphedema (BCRL). MR relaxometry was performed over bilateral axillary regions at 3.0 T in healthy female controls (105 LNs from 20 participants) and patients with BCRL (108 LNs from 20 participants). Quantitative T1 maps were calculated using a multi-flip-angle (20, 40, 60°) method with B1 correction (dual-TR method, TR1 /TR2  = 30/130 ms), and T2 maps using a multi-echo (TE  = 9-189 ms; 12 ms intervals) method. T1 and T2 were quantified in the LN cortex and hilum. A Mann-Whitney U-test was applied to compare LN relaxometry values between patients and controls (significance, two sided, p < 0.05). Linear regression was applied to evaluate how LN relaxometry varied with age, BMI, and clinical indicators of disease. LN substructure relaxation times (mean ± standard deviation) in healthy controls were T1 cortex, 1435 ± 391 ms; T1 hilum, 714 ± 123 ms; T2 cortex, 102 ± 12 ms, and T2 hilum, 119 ± 21 ms. T1 of the LN cortex was significantly reduced in the contralateral axilla of BCRL patients compared with the axilla on the surgical side (p < 0.001) and compared with bilateral control values (p < 0.01). The LN cortex T1 asymmetry discriminated cases from controls (p = 0.004) in a multiple linear regression, accounting for age and BMI. Human 3.0 T T1 and T2 relaxation times in axillary LNs were quantified for the first time in vivo. Measured values are relevant for optimizing acquisition parameters in anatomical lymphatic imaging sequences, and can serve as a reference for novel functional and molecular LN imaging methods that require quantitative knowledge of LN relaxation times.
© 2018 John Wiley & Sons, Ltd.

Entities:  

Keywords:  breast cancer; cancer therapy responses; metastases; relaxometry

Mesh:

Year:  2018        PMID: 30311705      PMCID: PMC6263822          DOI: 10.1002/nbm.4009

Source DB:  PubMed          Journal:  NMR Biomed        ISSN: 0952-3480            Impact factor:   4.044


  37 in total

1.  Influence of the new AJCC breast cancer staging system on sentinel lymph node positivity and false-negative rates.

Authors:  David R McCready; Wei Sean Yong; Alexander K T Ng; Naomi Miller; Susan Done; Bruce Youngson
Journal:  J Natl Cancer Inst       Date:  2004-06-02       Impact factor: 13.506

2.  Determining the longitudinal relaxation time (T1) of blood at 3.0 Tesla.

Authors:  Hanzhang Lu; Chekesha Clingman; Xavier Golay; Peter C M van Zijl
Journal:  Magn Reson Med       Date:  2004-09       Impact factor: 4.668

3.  Axillary lymph node metastases in breast cancer: preoperative detection with dynamic contrast-enhanced MRI.

Authors:  K A Kvistad; J Rydland; H B Smethurst; S Lundgren; H E Fjøsne; O Haraldseth
Journal:  Eur Radiol       Date:  2000       Impact factor: 5.315

Review 4.  Lymph formation, composition and circulation: a proteomics perspective.

Authors:  Kirk C Hansen; Angelo D'Alessandro; Cristina C Clement; Laura Santambrogio
Journal:  Int Immunol       Date:  2015-03-18       Impact factor: 4.823

Review 5.  New developments in clinical aspects of lymphatic disease.

Authors:  Peter S Mortimer; Stanley G Rockson
Journal:  J Clin Invest       Date:  2014-03-03       Impact factor: 14.808

6.  Assessment of lymphatic impairment and interstitial protein accumulation in patients with breast cancer treatment-related lymphedema using CEST MRI.

Authors:  Manus J Donahue; Paula C M Donahue; Swati Rane; Christopher R Thompson; Megan K Strother; Allison O Scott; Seth A Smith
Journal:  Magn Reson Med       Date:  2015-03-07       Impact factor: 4.668

7.  Validation and update of a lymph node metastasis prediction model for breast cancer.

Authors:  Si-Qi Qiu; Merel Aarnink; Marissa C van Maaren; Monique D Dorrius; Arkajyoti Bhattacharya; Jeroen Veltman; Caroline A H Klazen; Jan H Korte; Susanne H Estourgie; Pieter Ott; Wendy Kelder; Huan-Cheng Zeng; Hendrik Koffijberg; Guo-Jun Zhang; Gooitzen M van Dam; Sabine Siesling
Journal:  Eur J Surg Oncol       Date:  2018-01-17       Impact factor: 4.424

8.  Lymphoscintigraphic abnormalities in the contralateral lower limbs of patients with unilateral lymphedema.

Authors:  Camila Alcoforado de Almeida; Esdras Marques Lins; Simone Cristina Soares Brandão; Álvaro Antônio Bandeira Ferraz; Flavia Cristina Morone Pinto; Silvio Romero de Barros Marques
Journal:  J Vasc Surg Venous Lymphat Disord       Date:  2017-02-21

Review 9.  Estimating the population burden of lymphedema.

Authors:  Stanley G Rockson; Kahealani K Rivera
Journal:  Ann N Y Acad Sci       Date:  2008       Impact factor: 5.691

10.  Characterization of ex vivo healthy human axillary lymph nodes with high resolution 7 Tesla MRI.

Authors:  M A Korteweg; J J M Zwanenburg; P J van Diest; M A A J van den Bosch; P R Luijten; R van Hillegersberg; W P Th M Mali; W B Veldhuis
Journal:  Eur Radiol       Date:  2010-08-09       Impact factor: 5.315

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  4 in total

1.  CEST MRI quantification procedures for breast cancer treatment-related lymphedema therapy evaluation.

Authors:  Rachelle Crescenzi; Paula M C Donahue; Helen Mahany; Sarah K Lants; Manus J Donahue
Journal:  Magn Reson Med       Date:  2019-10-21       Impact factor: 4.668

2.  Elevated magnetic resonance imaging measures of adipose tissue deposition in women with breast cancer treatment-related lymphedema.

Authors:  Rachelle Crescenzi; Paula M C Donahue; Maria Garza; Chelsea A Lee; Niral J Patel; Victoria Gonzalez; R Sky Jones; Manus J Donahue
Journal:  Breast Cancer Res Treat       Date:  2021-10-23       Impact factor: 4.624

3.  Magnetic resonance imaging and bioimpedance evaluation of lymphatic abnormalities in patients with breast cancer treatment-related lymphedema.

Authors:  Paula M C Donahue; Rachelle Crescenzi; Chelsea Lee; Maria Garza; Niral J Patel; Kalen J Petersen; Manus J Donahue
Journal:  Breast Cancer Res Treat       Date:  2020-06-29       Impact factor: 4.872

4.  Systematic Review of Magnetic Resonance Lymphangiography From a Technical Perspective.

Authors:  Michael Mills; Malou van Zanten; Marco Borri; Peter S Mortimer; Kristiana Gordon; Pia Ostergaard; Franklyn A Howe
Journal:  J Magn Reson Imaging       Date:  2021-02-24       Impact factor: 4.813

  4 in total

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