Literature DB >> 21719209

Validation of imaging with pathology in laryngeal cancer: accuracy of the registration methodology.

Joana Caldas-Magalhaes1, Nicolien Kasperts, Nina Kooij, Cornelis A T van den Berg, Chris H J Terhaard, Cornelis P J Raaijmakers, Marielle E P Philippens.   

Abstract

PURPOSE: To investigate the feasibility and accuracy of an automated method to validate gross tumor volume (GTV) delineations with pathology in laryngeal and hypopharyngeal cancer. METHODS AND MATERIALS: High-resolution computed tomography (CT(HR)), magnetic resonance imaging (MRI), and positron emission tomography (PET) scans were obtained from 10 patients before total laryngectomy. The GTV was delineated separately in each imaging modality. The laryngectomy specimen was sliced transversely in 3-mm-thick slices, and whole-mount hematoxylin-eosin stained (H&E) sections were obtained. A pathologist delineated tumor tissue in the H&E sections (GTV(PATH)). An automatic three-dimensional (3D) reconstruction of the specimen was performed, and the CT(HR), MRI, and PET were semiautomatically and rigidly registered to the 3D specimen. The accuracy of the pathology-imaging registration and the specimen deformation and shrinkage were assessed. The tumor delineation inaccuracies were compared with the registration errors.
RESULTS: Good agreement was observed between anatomical landmarks in the 3D specimen and in the in vivo images. Limited deformations and shrinkage (3% ± 1%) were found inside the cartilage skeleton. The root mean squared error of the registration between the 3D specimen and the CT, MRI, and PET was on average 1.5, 3.0, and 3.3 mm, respectively, in the cartilage skeleton. The GTV(PATH) volume was 7.2 mL, on average. The GTVs based on CT, MRI, and PET generated a mean volume of 14.9, 18.3, and 9.8 mL and covered the GTV(PATH) by 85%, 88%, and 77%, respectively. The tumor delineation inaccuracies exceeded the registration error in all the imaging modalities.
CONCLUSIONS: Validation of GTV delineations with pathology is feasible with an average overall accuracy below 3.5 mm inside the laryngeal skeleton. The tumor delineation inaccuracies were larger than the registration error. Therefore, an accurate histological validation of anatomical and functional imaging techniques for GTV delineation is possible in laryngeal cancer patients.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21719209     DOI: 10.1016/j.ijrobp.2011.05.004

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


  23 in total

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Authors:  Louise M Fanchon; Snjezana Dogan; Andre L Moreira; Sean A Carlin; C Ross Schmidtlein; Ellen Yorke; Aditya P Apte; Irene A Burger; Jeremy C Durack; Joseph P Erinjeri; Majid Maybody; Heiko Schöder; Robert H Siegelbaum; Constantinos T Sofocleous; Joseph O Deasy; Stephen B Solomon; John L Humm; Assen S Kirov
Journal:  J Nucl Med       Date:  2015-02-26       Impact factor: 10.057

2.  Methods for estimating the site of origin of locoregional recurrence in head and neck squamous cell carcinoma.

Authors:  A K Due; I R Vogelius; M C Aznar; S M Bentzen; A K Berthelsen; S S Korreman; C A Kristensen; L Specht
Journal:  Strahlenther Onkol       Date:  2012-05-13       Impact factor: 3.621

3.  18F-FDG Metabolic Tumor Volume: Association with Short- and Long-Term Feeding Tube Use in Head and Neck IMRT.

Authors:  James E Jackson; Nigel J Anderson; Maureen Rolfo; Morikatsu Wada; Michal Schneider; Michael Poulsen; Maziar Fahandej; Anna Huynh; Sze Ting Lee; Daryl Lim Joon; Vincent Khoo
Journal:  Dysphagia       Date:  2018-09-28       Impact factor: 3.438

Review 4.  Role of fluorine-18 fluorodeoxyglucose PET/CT in head and neck oncology: the point of view of the radiation oncologist.

Authors:  Jon Cacicedo; Arturo Navarro; Olga Del Hoyo; Alfonso Gomez-Iturriaga; Filippo Alongi; Jose A Medina; Olgun Elicin; Andrea Skanjeti; Francesco Giammarile; Pedro Bilbao; Francisco Casquero; Berardino de Bari; Alan Dal Pra
Journal:  Br J Radiol       Date:  2016-08-02       Impact factor: 3.039

5.  Intravoxel incoherent motion MR imaging of early cervical carcinoma: correlation between imaging parameters and tumor-stroma ratio.

Authors:  Xiangsheng Li; Ping Wang; Dechang Li; Hongxian Zhu; Limin Meng; Yunlong Song; Lizhi Xie; Jianping Zhu; Tao Yu
Journal:  Eur Radiol       Date:  2017-12-08       Impact factor: 5.315

Review 6.  (18)F-FDG PET/CT quantification in head and neck squamous cell cancer: principles, technical issues and clinical applications.

Authors:  Gianpiero Manca; Eleonora Vanzi; Domenico Rubello; Francesco Giammarile; Gaia Grassetto; Ka Kit Wong; Alan C Perkins; Patrick M Colletti; Duccio Volterrani
Journal:  Eur J Nucl Med Mol Imaging       Date:  2016-01-19       Impact factor: 9.236

Review 7.  Target Definition in MR-Guided Adaptive Radiotherapy for Head and Neck Cancer.

Authors:  Mischa de Ridder; Cornelis P J Raaijmakers; Frank A Pameijer; Remco de Bree; Floris C J Reinders; Patricia A H Doornaert; Chris H J Terhaard; Marielle E P Philippens
Journal:  Cancers (Basel)       Date:  2022-06-20       Impact factor: 6.575

8.  Target Volume Delineation Using Diffusion-weighted Imaging for MR-guided Radiotherapy: A Case Series of Laryngeal Cancer Validated by Pathology.

Authors:  Hans Ligtenberg; Tim Schakel; Jan Willem Dankbaar; Lilian N Ruiter; Boris Peltenburg; Stefan M Willems; Nicolien Kasperts; Chris H J Terhaard; Cornelis P J Raaijmakers; Marielle E P Philippens
Journal:  Cureus       Date:  2018-04-11

9.  Pathology-based validation of FDG PET segmentation tools for volume assessment of lymph node metastases from head and neck cancer.

Authors:  Dominic A X Schinagl; Paul N Span; Frank J A van den Hoogen; Matthias A W Merkx; Piet J Slootweg; Wim J G Oyen; Johannes H A M Kaanders
Journal:  Eur J Nucl Med Mol Imaging       Date:  2013-08-14       Impact factor: 9.236

Review 10.  Value of PET imaging for radiation therapy.

Authors:  Constantin Lapa; Ursula Nestle; Nathalie L Albert; Christian Baues; Ambros Beer; Andreas Buck; Volker Budach; Rebecca Bütof; Stephanie E Combs; Thorsten Derlin; Matthias Eiber; Wolfgang P Fendler; Christian Furth; Cihan Gani; Eleni Gkika; Anca-L Grosu; Christoph Henkenberens; Harun Ilhan; Steffen Löck; Simone Marnitz-Schulze; Matthias Miederer; Michael Mix; Nils H Nicolay; Maximilian Niyazi; Christoph Pöttgen; Claus M Rödel; Imke Schatka; Sarah M Schwarzenboeck; Andrei S Todica; Wolfgang Weber; Simone Wegen; Thomas Wiegel; Constantinos Zamboglou; Daniel Zips; Klaus Zöphel; Sebastian Zschaeck; Daniela Thorwarth; Esther G C Troost
Journal:  Strahlenther Onkol       Date:  2021-07-14       Impact factor: 3.621

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