Literature DB >> 17707281

Feasibility of pathology-correlated lung imaging for accurate target definition of lung tumors.

Joep Stroom1, Hans Blaauwgeers, Angela van Baardwijk, Liesbeth Boersma, Joos Lebesque, Jacqueline Theuws, Robert-Jan van Suylen, Houke Klomp, Koen Liesker, Renée van Pel, Christian Siedschlag, Kenneth Gilhuijs.   

Abstract

PURPOSE: To accurately define the gross tumor volume (GTV) and clinical target volume (GTV plus microscopic disease spread) for radiotherapy, the pretreatment imaging findings should be correlated with the histopathologic findings. In this pilot study, we investigated the feasibility of pathology-correlated imaging for lung tumors, taking into account lung deformations after surgery. METHODS AND MATERIALS: High-resolution multislice computed tomography (CT) and positron emission tomography (PET) scans were obtained for 5 patients who had non-small-cell lung cancer (NSCLC) before lobectomy. At the pathologic examination, the involved lung lobes were inflated with formalin, sectioned in parallel slices, and photographed, and microscopic sections were obtained. The GTVs were delineated for CT and autocontoured at the 42% PET level, and both were compared with the histopathologic volumes. The CT data were subsequently reformatted in the direction of the macroscopic sections, and the corresponding fiducial points in both images were compared. Hence, the lung deformations were determined to correct the distances of microscopic spread.
RESULTS: In 4 of 5 patients, the GTV(CT) was, on average, 4 cm(3) ( approximately 53%) too large. In contrast, for 1 patient (with lymphangitis carcinomatosa), the GTV(CT) was 16 cm(3) ( approximately 40%) too small. The GTV(PET) was too small for the same patient. Regarding deformations, the volume of the well-inflated lung lobes on pathologic examination was still, on average, only 50% of the lobe volume on CT. Consequently, the observed average maximal distance of microscopic spread (5 mm) might, in vivo, be as large as 9 mm.
CONCLUSIONS: Our results have shown that pathology-correlated lung imaging is feasible and can be used to improve target definition. Ignoring deformations of the lung might result in underestimation of the microscopic spread.

Entities:  

Mesh:

Year:  2007        PMID: 17707281     DOI: 10.1016/j.ijrobp.2007.04.065

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


  24 in total

Review 1.  PET-guided delineation of radiation therapy treatment volumes: a survey of image segmentation techniques.

Authors:  Habib Zaidi; Issam El Naqa
Journal:  Eur J Nucl Med Mol Imaging       Date:  2010-03-25       Impact factor: 9.236

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 methods for PET image segmentation in pharyngolaryngeal squamous cell carcinoma.

Authors:  Habib Zaidi; Mehrsima Abdoli; Carolina Llina Fuentes; Issam M El Naqa
Journal:  Eur J Nucl Med Mol Imaging       Date:  2012-05       Impact factor: 9.236

Review 4.  The use of FDG-PET to target tumors by radiotherapy.

Authors:  Guido Lammering; Dirk De Ruysscher; Angela van Baardwijk; Brigitta G Baumert; Jacques Borger; Ludy Lutgens; Piet van den Ende; Michel Ollers; Philippe Lambin
Journal:  Strahlenther Onkol       Date:  2010-08-30       Impact factor: 3.621

Review 5.  Molecular imaging-based dose painting: a novel paradigm for radiation therapy prescription.

Authors:  Søren M Bentzen; Vincent Gregoire
Journal:  Semin Radiat Oncol       Date:  2011-04       Impact factor: 5.934

6.  Optimal gating compared to 3D and 4D PET reconstruction for characterization of lung tumours.

Authors:  Wouter van Elmpt; James Hamill; Judson Jones; Dirk De Ruysscher; Philippe Lambin; Michel Ollers
Journal:  Eur J Nucl Med Mol Imaging       Date:  2011-01-11       Impact factor: 9.236

7.  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

8.  A semiautomatic CT-based ensemble segmentation of lung tumors: comparison with oncologists' delineations and with the surgical specimen.

Authors:  Emmanuel Rios Velazquez; Hugo J W L Aerts; Yuhua Gu; Dmitry B Goldgof; Dirk De Ruysscher; Andre Dekker; René Korn; Robert J Gillies; Philippe Lambin
Journal:  Radiother Oncol       Date:  2012-11-15       Impact factor: 6.280

9.  Cancer-associated stroma affects FDG uptake in experimental carcinomas. Implications for FDG-PET delineation of radiotherapy target.

Authors:  Paolo Farace; Daniela D'Ambrosio; Flavia Merigo; Mirco Galiè; Cristina Nanni; Antonello Spinelli; Stefano Fanti; Anna Degrassi; Andrea Sbarbati; Domenico Rubello; Pasquina Marzola
Journal:  Eur J Nucl Med Mol Imaging       Date:  2008-12-18       Impact factor: 9.236

Review 10.  18F-FDG PET/CT for image-guided and intensity-modulated radiotherapy.

Authors:  Eric C Ford; Joseph Herman; Ellen Yorke; Richard L Wahl
Journal:  J Nucl Med       Date:  2009-09-16       Impact factor: 10.057

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.