Literature DB >> 24272480

First-pass perfusion of non-small-cell lung cancer (NSCLC) with 64-detector-row CT: a study of technique repeatability and intra- and interobserver variability.

Anna Rita Larici1, Lucio Calandriello, Michele Amato, Roberta Silvestri, Annemilia del Ciello, Francesco Molinari, Chiara de Waure, Maria Letizia Vita, Giulia Carnassale, Lorenzo Bonomo.   

Abstract

PURPOSE: This study was done to prospectively assess the repeatability and intra- and interobserver variability of first-pass perfusion with 64-detector-row computed tomography (CT) in non-small-cell lung cancer (NSCLC) with a maximum diameter of up to 8 cm.
MATERIALS AND METHODS: Twelve patients with NSCLC underwent 64-detector-row first-pass CT perfusion (CTP) of the whole tumour. Two different techniques were used according to lesion size (cine mode; sequential mode). After 24 h, each study was repeated to assess repeatability. Lesion blood volume (BV), blood flow (BF), mean transit time (MTT) and peak enhancement intensity (PEI) were automatically calculated by two chest radiologists in two different reading sessions. Intra- and interobserver variability was also assessed.
RESULTS: The first-pass CTP technique was repeatable and precise with within-subject coefficient of variation (WCV) of 9.3, 16.4, 11.2 and 14.9 %, respectively, for BV, BF, MTT and PEI. High intra- and interobserver agreement was demonstrated for each perfusion parameter, with Cronbach's α coefficients and intraclass correlation coefficients ranging from 0.99 to 1. Precision of measurements was slightly better for intraobserver analysis with WCV ranging between 1.05 and 3.03 %.
CONCLUSIONS: Non-small-cell lung cancer first-pass perfusion performed with 64-detector-row CT showed good repeatability and high intra- and interobserver agreement for all perfusion parameters and may be considered a reliable and robust tool for assessing tumour vascularisation.

Entities:  

Mesh:

Year:  2013        PMID: 24272480     DOI: 10.1007/s11547-013-0300-0

Source DB:  PubMed          Journal:  Radiol Med        ISSN: 0033-8362            Impact factor:   3.469


  22 in total

Review 1.  Perfusion CT: a worthwhile enhancement?

Authors:  K A Miles; M R Griffiths
Journal:  Br J Radiol       Date:  2003-04       Impact factor: 3.039

Review 2.  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

Review 3.  Perfusion CT for the assessment of tumour vascularity: which protocol?

Authors:  K A Miles
Journal:  Br J Radiol       Date:  2003       Impact factor: 3.039

4.  CT perfusion in solid-body tumours. Part I: Technical issues.

Authors:  G Petralia; L Preda; G D'Andrea; S Viotti; L Bonello; R De Filippi; M Bellomi
Journal:  Radiol Med       Date:  2010-02-22       Impact factor: 3.469

5.  Statistical methods for assessing agreement between two methods of clinical measurement.

Authors:  J M Bland; D G Altman
Journal:  Lancet       Date:  1986-02-08       Impact factor: 79.321

6.  Reproducibility of perfusion parameters obtained from perfusion CT in lung tumors.

Authors:  Chaan S Ng; Adam G Chandler; Wei Wei; Ella F Anderson; Delise H Herron; Chusilp Charnsangavej; Razelle Kurzrock
Journal:  AJR Am J Roentgenol       Date:  2011-07       Impact factor: 3.959

7.  Fluctuations in red cell flux in tumor microvessels can lead to transient hypoxia and reoxygenation in tumor parenchyma.

Authors:  H Kimura; R D Braun; E T Ong; R Hsu; T W Secomb; D Papahadjopoulos; K Hong; M W Dewhirst
Journal:  Cancer Res       Date:  1996-12-01       Impact factor: 12.701

8.  Whole-tumor perfusion CT in patients with advanced lung adenocarcinoma treated with conventional and antiangiogenetic chemotherapy: initial experience.

Authors:  Francesco Fraioli; Michele Anzidei; Fulvio Zaccagna; Maria Luisa Mennini; Goffredo Serra; Bruno Gori; Flavia Longo; Carlo Catalano; Roberto Passariello
Journal:  Radiology       Date:  2011-02-25       Impact factor: 11.105

9.  Quantitative assessment of lung cancer perfusion using MDCT: does measurement reproducibility improve with greater tumor volume coverage?

Authors:  Quan Sing Ng; Vicky Goh; Ernst Klotz; Heinz Fichte; Michele I Saunders; Peter J Hoskin; Anwar R Padhani
Journal:  AJR Am J Roentgenol       Date:  2006-10       Impact factor: 3.959

Review 10.  Angiogenesis in the treatment of non-small cell lung cancer.

Authors:  Leora Horn; Alan B Sandler
Journal:  Proc Am Thorac Soc       Date:  2009-04-15
View more
  4 in total

1.  Observer Variability in CT Perfusion Parameters in Primary and Metastatic Tumors in the Lung.

Authors:  Chaan S Ng; Wei Wei; Payel Ghosh; Ella Anderson; Delise H Herron; Adam G Chandler
Journal:  Technol Cancer Res Treat       Date:  2018-01-01

2.  Nitroglycerin as a radiosensitizer in non-small cell lung cancer: Results of a prospective imaging-based phase II trial.

Authors:  Bart J T Reymen; Marike W van Gisbergen; Aniek J G Even; Catharina M L Zegers; Marco Das; Erik Vegt; Joachim E Wildberger; Felix M Mottaghy; Ala Yaromina; Ludwig J Dubois; Wouter van Elmpt; Dirk De Ruysscher; Philippe Lambin
Journal:  Clin Transl Radiat Oncol       Date:  2019-12-13

3.  Contrast timing optimization of a two-volume dynamic CT pulmonary perfusion technique.

Authors:  Yixiao Zhao; Logan Hubbard; Shant Malkasian; Pablo Abbona; Sabee Molloi
Journal:  Sci Rep       Date:  2022-05-17       Impact factor: 4.379

4.  Dynamic pulmonary CT perfusion using first-pass analysis technique with only two volume scans: Validation in a swine model.

Authors:  Yixiao Zhao; Logan Hubbard; Shant Malkasian; Pablo Abbona; Sabee Molloi
Journal:  PLoS One       Date:  2020-02-12       Impact factor: 3.240

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.