Literature DB >> 20610039

Reproducibility of "intelligent" contouring of gross tumor volume in non-small-cell lung cancer on PET/CT images using a standardized visual method.

Michael Bayne1, Rodney J Hicks, Sarah Everitt, Natalie Fimmell, David Ball, John Reynolds, Eddie Lau, Alex Pitman, Robert Ware, Michael MacManus.   

Abstract

PURPOSE: Positron emission tomography/computed tomography (PET/CT) is increasingly used for delineating gross tumor volume (GTV) in non-small-cell lung cancer (NSCLC). The methodology for contouring tumor margins remains controversial. We developed a rigorous visual protocol for contouring GTV that uses all available clinical information and studied its reproducibility in patients from a prospective PET/CT planning trial. METHODS AND MATERIALS: Planning PET/CT scans from 6 consecutive patients were selected. Six "observers" (two radiation oncologists, two nuclear medicine physicians, and two radiologists) contoured GTVs for each patient using a predefined protocol and subsequently recontoured 2 patients. For the estimated GTVs and axial distances, least-squares means for each observer and for each case were calculated and compared, using the F test and pairwise t-tests. In five cases, tumor margins were also autocontoured using standardized uptake value (SUV) cutoffs of 2.5 and 3.5 and 40% SUV(max).
RESULTS: The magnitude of variation between observers was small relative to the mean (coefficient of variation [CV] = 3%), and the total variation (intraclass correlation coefficient [ICC] = 3%). For estimation of superior/inferior (SI), left/right (LR), and anterior/posterior (AP) borders of the GTV, differences between observers were also small (AP, CV = 2%, ICC = 0.4%; LR, CV = 6%, ICC = 2%; SI, CV 4%, ICC = 2%). GTVs autocontoured generated using SUV 2.5, 3.5, and 40% SUV(max) differed widely in each case. An SUV contour of 2.5 was most closely correlated with the mean GTV defined by the human observers.
CONCLUSIONS: Observer variation contributed little to total variation in the GTV and axial distances. A visual contouring protocol gave reproducible results for contouring GTV in NSCLC. Copyright 2010 Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20610039     DOI: 10.1016/j.ijrobp.2009.06.032

Source DB:  PubMed          Journal:  Int J Radiat Oncol Biol Phys        ISSN: 0360-3016            Impact factor:   7.038


  19 in total

1.  Recommendations for the use of PET and PET-CT for radiotherapy planning in research projects.

Authors:  E J Somer; L C Pike; P K Marsden
Journal:  Br J Radiol       Date:  2012-02-28       Impact factor: 3.039

Review 2.  Imaging techniques for tumour delineation and heterogeneity quantification of lung cancer: overview of current possibilities.

Authors:  Wouter van Elmpt; Catharina M L Zegers; Marco Das; Dirk De Ruysscher
Journal:  J Thorac Dis       Date:  2014-04       Impact factor: 2.895

3.  Comparative evaluation of CT-based and respiratory-gated PET/CT-based planning target volume (PTV) in the definition of radiation treatment planning in lung cancer: preliminary results.

Authors:  Luca Guerra; Sofia Meregalli; Alessandra Zorz; Rita Niespolo; Elena De Ponti; Federica Elisei; Sabrina Morzenti; Sarah Brenna; Andrea Crespi; Gianstefano Gardani; Cristina Messa
Journal:  Eur J Nucl Med Mol Imaging       Date:  2013-11-01       Impact factor: 9.236

4.  Guidance on the use of PET for treatment planning in radiotherapy clinical trials.

Authors:  Lucy C Pike; Christopher M Thomas; Teresa Guerrero-Urbano; Andriana Michaelidou; Tony Greener; Elizabeth Miles; David Eaton; Sally F Barrington
Journal:  Br J Radiol       Date:  2019-08-23       Impact factor: 3.039

5.  Classification and evaluation strategies of auto-segmentation approaches for PET: Report of AAPM task group No. 211.

Authors:  Mathieu Hatt; John A Lee; Charles R Schmidtlein; Issam El Naqa; Curtis Caldwell; Elisabetta De Bernardi; Wei Lu; Shiva Das; Xavier Geets; Vincent Gregoire; Robert Jeraj; Michael P MacManus; Osama R Mawlawi; Ursula Nestle; Andrei B Pugachev; Heiko Schöder; Tony Shepherd; Emiliano Spezi; Dimitris Visvikis; Habib Zaidi; Assen S Kirov
Journal:  Med Phys       Date:  2017-05-18       Impact factor: 4.071

6.  Respiratory gated [18F]FDG PET/CT for target volume delineation in stereotactic radiation treatment of liver metastases.

Authors:  R A Bundschuh; N Andratschke; J Dinges; M N Duma; S T Astner; M Brügel; S I Ziegler; M Molls; M Schwaiger; M Essler
Journal:  Strahlenther Onkol       Date:  2012-03-24       Impact factor: 3.621

7.  Circulating Cell-Free miR-375 as Surrogate Marker of Tumor Burden in Merkel Cell Carcinoma.

Authors:  Kaiji Fan; Cathrin Ritter; Paul Nghiem; Astrid Blom; Monique E Verhaegen; Andrzej Dlugosz; Niels Ødum; Anders Woetmann; Richard W Tothill; Rodney J Hicks; Michael Sand; David Schrama; Dirk Schadendorf; Selma Ugurel; Jürgen C Becker
Journal:  Clin Cancer Res       Date:  2018-07-30       Impact factor: 12.531

8.  Influence of experience and qualification on PET-based target volume delineation. When there is no expert--ask your colleague.

Authors:  C Doll; V Duncker-Rohr; G Rücker; M Mix; M MacManus; D De Ruysscher; W Vogel; J G Eriksen; W Oyen; A-L Grosu; W Weber; U Nestle
Journal:  Strahlenther Onkol       Date:  2014-03-11       Impact factor: 3.621

Review 9.  The promise and pitfalls of positron emission tomography and single-photon emission computed tomography molecular imaging-guided radiation therapy.

Authors:  Richard L Wahl; Joseph M Herman; Eric Ford
Journal:  Semin Radiat Oncol       Date:  2011-04       Impact factor: 5.934

10.  Metabolic Tumor Volume on PET Reduced More than Gross Tumor Volume on CT during Radiotherapy in Patients with Non-Small Cell Lung Cancer Treated with 3DCRT or SBRT.

Authors:  Pawinee Mahasittiwat; Shuanghu Yuan; Congying Xie; Timothy Ritter; Yue Cao; Randall K Ten Haken; Feng-Ming Spring Kong
Journal:  J Radiat Oncol       Date:  2013-06
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