Literature DB >> 31754820

Diagnosis of spinal lesions using perfusion parameters measured by DCE-MRI and metabolism parameters measured by PET/CT.

Jiahui Zhang1, Yongye Chen1, Yanyan Zhang2, Enlong Zhang1, Hon J Yu3, Huishu Yuan1, Yang Zhang3, Min-Ying Su4, Ning Lang5.   

Abstract

PURPOSE: To investigate the correlation of parameters measured by dynamic-contrast-enhanced MRI (DCE-MRI) and 18F-FDG PET/CT in spinal tumors, and their role in differential diagnosis.
METHODS: A total of 49 patients with pathologically confirmed spinal tumors, including 38 malignant, six benign and five borderline tumors, were analyzed. The MRI and PET/CT were done within 3 days, before biopsy. On MRI, the ROI was manually placed on area showing the strongest enhancement to measure pharmacokinetic parameters Ktrans and kep. On PET, the maximum standardized uptake value SUVmax was measured. The parameters in different histological groups were compared. ROC was performed to differentiate between the two largest subtypes, metastases and plasmacytomas. Spearman rank correlation was performed to compare DCE-MRI and PET/CT parameters.
RESULTS: The Ktrans, kep and SUVmax were not statistically different among malignant, benign and borderline groups (P = 0.95, 0.50, 0.11). There was no significant correlation between Ktrans and SUVmax (r = - 0.20, P = 0.18), or between kep and SUVmax (r = - 0.16, P = 0.28). The kep was significantly higher in plasmacytoma than in metastasis (0.78 ± 0.17 vs. 0.61 ± 0.18, P = 0.02); in contrast, the SUVmax was significantly lower in plasmacytoma than in metastasis (5.58 ± 2.16 vs. 9.37 ± 4.26, P = 0.03). In differential diagnosis, the AUC of kep and SUVmax was 0.79 and 0.78, respectively.
CONCLUSIONS: The vascular parameters measured by DCE-MRI and glucose metabolism measured by PET/CT from the most aggressive tumor area did not show a significant correlation. The results suggest they provide complementary information reflecting different aspects of the tumor, which may aid in diagnosis of spinal lesions. These slides can be retrieved under Electronic Supplementary Material.

Entities:  

Keywords:  Magnetic resonance imaging; Positron emission tomography/computed tomography; Spinal neoplasms

Mesh:

Substances:

Year:  2019        PMID: 31754820      PMCID: PMC7709817          DOI: 10.1007/s00586-019-06213-9

Source DB:  PubMed          Journal:  Eur Spine J        ISSN: 0940-6719            Impact factor:   3.134


  26 in total

1.  Detection of malignant bone marrow involvement with dynamic contrast-enhanced magnetic resonance imaging.

Authors:  L A Moulopoulos; T G Maris; N Papanikolaou; G Panagi; L Vlahos; M A Dimopoulos
Journal:  Ann Oncol       Date:  2003-01       Impact factor: 32.976

2.  Magnetic resonance perfusion characteristics of hypervascular renal and hypovascular prostate spinal metastases: clinical utilities and implications.

Authors:  Atin Saha; Kyung K Peck; Eric Lis; Andrei I Holodny; Yoshiya Yamada; Sasan Karimi
Journal:  Spine (Phila Pa 1976)       Date:  2014-11-15       Impact factor: 3.468

3.  Correlation Between Tumor Metabolism and Semiquantitative Perfusion Magnetic Resonance Imaging Metrics in Non-Small Cell Lung Cancer.

Authors:  Sang Ho Lee; Andreas Rimner; Emily Gelb; Joseph O Deasy; Margie A Hunt; John L Humm; Neelam Tyagi
Journal:  Int J Radiat Oncol Biol Phys       Date:  2018-03-02       Impact factor: 7.038

4.  Characterizing hypervascular and hypovascular metastases and normal bone marrow of the spine using dynamic contrast-enhanced MR imaging.

Authors:  N R Khadem; S Karimi; K K Peck; Y Yamada; E Lis; J Lyo; M Bilsky; H A Vargas; A I Holodny
Journal:  AJNR Am J Neuroradiol       Date:  2012-05-03       Impact factor: 3.825

5.  Diagnosis of Spinal Lesions Using Heuristic and Pharmacokinetic Parameters Measured by Dynamic Contrast-Enhanced MRI.

Authors:  Ning Lang; Huishu Yuan; Hon J Yu; Min-Ying Su
Journal:  Acad Radiol       Date:  2017-02-02       Impact factor: 3.173

6.  Simultaneous multiparametric PET/MRI for the assessment of therapeutic response to chemotherapy or concurrent chemoradiotherapy of cervical cancer patients: Preliminary results.

Authors:  Theresia Sarabhai; Alexander Tschischka; Vanessa Stebner; Felix Nensa; Axel Wetter; Rainer Kimmig; Michael Forsting; Ken Herrmann; Lale Umutlu; Johannes Grueneisen
Journal:  Clin Imaging       Date:  2018-03-13       Impact factor: 1.605

7.  Integrated 18F-FDG PET/MRI in breast cancer: early prediction of response to neoadjuvant chemotherapy.

Authors:  Nariya Cho; Seock-Ah Im; Gi Jeong Cheon; In-Ae Park; Kyung-Hun Lee; Tae-Yong Kim; Young Seon Kim; Bo Ra Kwon; Jung Min Lee; Hoon Young Suh; Koung Jin Suh
Journal:  Eur J Nucl Med Mol Imaging       Date:  2017-11-04       Impact factor: 9.236

8.  Changes in multimodality functional imaging parameters early during chemoradiation predict treatment response in patients with locally advanced head and neck cancer.

Authors:  Kee H Wong; Rafal Panek; Alex Dunlop; Dualta Mcquaid; Angela Riddell; Liam C Welsh; Iain Murray; Dow-Mu Koh; Martin O Leach; Shreerang A Bhide; Christopher M Nutting; Wim J Oyen; Kevin J Harrington; Kate L Newbold
Journal:  Eur J Nucl Med Mol Imaging       Date:  2017-11-21       Impact factor: 9.236

9.  Clinical Applications of FDG PET and PET/CT in Head and Neck Cancer.

Authors:  Akram Al-Ibraheem; Andreas Buck; Bernd Joachim Krause; Klemens Scheidhauer; Markus Schwaiger
Journal:  J Oncol       Date:  2009-08-20       Impact factor: 4.375

10.  The complementary roles of dynamic contrast-enhanced MRI and 18F-fluorodeoxyglucose PET/CT for imaging of carotid atherosclerosis.

Authors:  Claudia Calcagno; Sarayu Ramachandran; David Izquierdo-Garcia; Venkatesh Mani; Antoine Millon; David Rosenbaum; Ahmed Tawakol; Mark Woodward; Jan Bucerius; Erin Moshier; James Godbold; David Kallend; Michael E Farkouh; Valentin Fuster; James H F Rudd; Zahi A Fayad
Journal:  Eur J Nucl Med Mol Imaging       Date:  2013-08-14       Impact factor: 9.236

View more
  1 in total

1.  Differentiation between spinal multiple myeloma and metastases originated from lung using multi-view attention-guided network.

Authors:  Kaili Chen; Jiashi Cao; Xin Zhang; Xiang Wang; Xiangyu Zhao; Qingchu Li; Song Chen; Peng Wang; Tielong Liu; Juan Du; Shiyuan Liu; Lichi Zhang
Journal:  Front Oncol       Date:  2022-09-08       Impact factor: 5.738

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.