Literature DB >> 18175123

A comparison of tumour perfusion assessed by deconvolution-based analysis of dynamic contrast-enhanced CT and MR imaging in patients with squamous cell carcinoma of the upper aerodigestive tract.

Sotirios Bisdas1, Leon Medov, Mehran Baghi, George N Konstantinou, Jens Wagenblast, Choon Hua Thng, Thomas J Vogl, Tong San Koh.   

Abstract

Our aim was to compare the perfusion [blood flow (BF)] values obtained by first-pass dynamic contrast-enhanced (DCE) T2-weighted magnetic resonance (MR) and computed tomography (CT) imaging of squamous cell carcinoma (SCC) in the upper aerodigestive tract in the same patient population. Seventeen patients with histologically proven primary SCC of the upper aerodigestive tract were prospectively evaluated. The perfusion CT studies were obtained using a 16-row multi-slice CT scanner running a commercial software package with a deconvolution-based technique; while the perfusion MR studies (1.5 T) were analysed with in-house-written MR perfusion software based also on a deconvolution technique. The mean perfusion values of SCC assessed by perfusion CT and MR imaging were 68.93 +/- 31.61 and 81.56 +/- 49.25 ml/min/100 g, respectively. The Bland-Altman graph showed a proportional error in the perfusion values measured by DCE-CT and -MR imaging; however, the degree of agreement was acceptable (95% limits of agreement: -66.1 to 40.8). Regression analysis of the perfusion values demonstrated significant correlation between the modalities: BF(MR) = 1.34 x BF(CT) - 10.93 (P < 0.0005, r (2) = 0.74). The parametric maps generated by both modalities provided insights into the tumour perfusion, while analysis of the obtained perfusion values demonstrated that both modalities may be used interchangeably in SCC in the upper aerodigestive tract.

Entities:  

Mesh:

Substances:

Year:  2008        PMID: 18175123     DOI: 10.1007/s00330-007-0827-3

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  25 in total

Review 1.  Applying the right statistics: analyses of measurement studies.

Authors:  J M Bland; D G Altman
Journal:  Ultrasound Obstet Gynecol       Date:  2003-07       Impact factor: 7.299

2.  Perfusion CT for head and neck tumors: pilot study.

Authors:  Zoran Rumboldt; Riyadh Al-Okaili; John P Deveikis
Journal:  AJNR Am J Neuroradiol       Date:  2005-05       Impact factor: 3.825

3.  Correlation between initial and early follow-up CT perfusion parameters with endoscopic tumor response in patients with advanced squamous cell carcinomas of the oropharynx treated with organ-preservation therapy.

Authors:  D Gandhi; D B Chepeha; T Miller; R C Carlos; C R Bradford; R Karamchandani; F Worden; A Eisbruch; T N Teknos; G T Wolf; S K Mukherji
Journal:  AJNR Am J Neuroradiol       Date:  2006-01       Impact factor: 3.825

4.  Comparison of dynamic contrast-enhanced gradient-echo and spin-echo sequences in MR of head and neck neoplasms.

Authors:  E J Escott; V M Rao; W D Ko; J E Guitierrez
Journal:  AJNR Am J Neuroradiol       Date:  1997-09       Impact factor: 3.825

5.  Can pretreatment CT perfusion predict response of advanced squamous cell carcinoma of the upper aerodigestive tract treated with induction chemotherapy?

Authors:  A Zima; R Carlos; D Gandhi; I Case; T Teknos; S K Mukherji
Journal:  AJNR Am J Neuroradiol       Date:  2007-02       Impact factor: 3.825

6.  Reproducibility of dynamic contrast-enhanced MRI in human muscle and tumours: comparison of quantitative and semi-quantitative analysis.

Authors:  Susan M Galbraith; Martin A Lodge; N Jane Taylor; Gordon J S Rustin; Søren Bentzen; J James Stirling; Anwar R Padhani
Journal:  NMR Biomed       Date:  2002-04       Impact factor: 4.044

7.  Role of dynamic MRI in the evaluation of head and neck cancers treated with radiation therapy.

Authors:  Y Baba; M Furusawa; R Murakami; T Yokoyama; Y Sakamoto; R Nishimura; Y Yamashita; M Takahashi; T Ishikawa
Journal:  Int J Radiat Oncol Biol Phys       Date:  1997-03-01       Impact factor: 7.038

8.  The value of dynamic contrast-enhanced MRI in diagnosis of malignant lymphoma of the head and neck.

Authors:  Jun-ichi Asaumi; Yoshinobu Yanagi; Miki Hisatomi; Hidenobu Matsuzaki; Hironobu Konouchi; Kanji Kishi
Journal:  Eur J Radiol       Date:  2003-11       Impact factor: 3.528

9.  Combined T2* and T1 measurements for improved perfusion and permeability studies in high field using dynamic contrast enhancement.

Authors:  Cedric de Bazelaire; Neil M Rofsky; Guillaume Duhamel; Jingbo Zhang; M Dror Michaelson; Daniel George; David C Alsop
Journal:  Eur Radiol       Date:  2006-04-01       Impact factor: 5.315

10.  Dynamic susceptibility contrast-enhanced echo-planar imaging of cerebral gliomas. Effect of contrast medium extravasation.

Authors:  M Essig; F Wenz; R Scholdei; R Brüning; C Berchtenbreiter; M Meurer; M V Knopp
Journal:  Acta Radiol       Date:  2002-07       Impact factor: 1.701

View more
  16 in total

1.  64-row MDCT perfusion of head and neck squamous cell carcinoma: technical feasibility and quantitative analysis of perfusion parameters.

Authors:  Lorenzo Faggioni; Emanuele Neri; Francesca Cerri; Eugenia Picano; Veronica Seccia; Luca Muscatello; Stefano Sellari Franceschini; Carlo Bartolozzi
Journal:  Eur Radiol       Date:  2010-07-23       Impact factor: 5.315

Review 2.  [Post-therapeutic imaging strategies and follow-up in head and neck malignant tumours].

Authors:  R Aschenbach; D Esser
Journal:  HNO       Date:  2010-08       Impact factor: 1.284

3.  Combined PET/CT-perfusion in patients with head and neck cancers.

Authors:  Patrick Veit-Haibach; Daniel Schmid; Klaus Strobel; Jan D Soyka; Niklaus G Schaefer; Stephan K Haerle; Gerhard Huber; Gabriele Studer; Burkhardt Seifert; Thomas F Hany
Journal:  Eur Radiol       Date:  2012-07-08       Impact factor: 5.315

4.  UMMPerfusion: an open source software tool towards quantitative MRI perfusion analysis in clinical routine.

Authors:  Frank G Zöllner; Gerald Weisser; Marcel Reich; Sven Kaiser; Stefan O Schoenberg; Steven P Sourbron; Lothar R Schad
Journal:  J Digit Imaging       Date:  2013-04       Impact factor: 4.056

5.  An exploratory pilot study into the association between microcirculatory parameters derived by MRI-based pharmacokinetic analysis and glucose utilization estimated by PET-CT imaging in head and neck cancer.

Authors:  Sotirios Bisdas; Oliver Seitz; Markus Middendorp; Nicole Chambron-Pinho; Theodosios Bisdas; Thomas J Vogl; Renate Hammerstingl; Ulrike Ernemann; Martin G Mack
Journal:  Eur Radiol       Date:  2010-05-05       Impact factor: 5.315

6.  A semi-automated volumetric software for segmentation and perfusion parameter quantification of brain tumors using 320-row multidetector computed tomography: a validation study.

Authors:  Soo Young Chae; Sangil Suh; Inseon Ryoo; Arim Park; Kyoung Jin Noh; Hackjoon Shim; Hae Young Seol
Journal:  Neuroradiology       Date:  2017-03-24       Impact factor: 2.804

7.  Comparison between CT and MR in perfusion imaging assessment of high-grade gliomas.

Authors:  M De Simone; C F Muccio; S M Pagnotta; G Esposito; A Cianfoni
Journal:  Radiol Med       Date:  2012-03-19       Impact factor: 3.469

8.  Translational imaging endpoints to predict treatment response to novel targeted anticancer agents.

Authors:  Natalie J Serkova
Journal:  Drug Resist Updat       Date:  2011-06-02       Impact factor: 18.500

9.  Radiofrequency ablation: post-ablation assessment using CT perfusion with pharmacological modulation in a rat subcutaneous tumor model.

Authors:  Hanping Wu; Agata A Exner; Tianyi M Krupka; Brent D Weinberg; Ravi Patel; John R Haaga
Journal:  Acad Radiol       Date:  2009-03       Impact factor: 3.173

10.  Perfusion CT in squamous cell carcinoma of the upper aerodigestive tract: long-term predictive value of baseline perfusion CT measurements.

Authors:  S Bisdas; Z Rumboldt; K Surlan-Popovic; M Baghi; T S Koh; T J Vogl; M G Mack
Journal:  AJNR Am J Neuroradiol       Date:  2009-10-29       Impact factor: 3.825

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.