Literature DB >> 32606170

Volume Delineation in Cervical Cancer With T2 and Diffusion-weighted MRI: Agreement on Volumes Between Observers.

Consuelo Rosa1,2, Andrea Delli Pizzi2,3, Antonietta Augurio4, Luciana Caravatta4, Monica DI Tommaso4, Erica Mincuzzi3, Sebastiano Cinalli5, Raffaella Basilico3, Annamaria Porreca6, Marta DI Nicola7, Domenico Genovesi4,2.   

Abstract

AIM: To delineate cervical cancer gross tumor volume (GTV) on T2-magnetic resonance imaging (MRI) and apparent diffusion coefficient (ADC) maps, assessing volumes and inter-observer agreement between two observers. PATIENTS AND METHODS: A radiologist and a radiation oncologist delineated GTV on T2 (T2GTV) and ADC (ADCGTV) sequences. Dice similarity index (DICE) and Bland-Altman analysis were used to estimated concordance.
RESULTS: Mean T2GTV and ADCGTV volumes were 43.84±71.47 cc and 37.28±68.92 cc according to the radiologist, and 43.4±70.44 cc and 36.65±69.21 cc according to the radiation oncologist. ADC led to statistically significantly smaller volumes compared to T2. The mean DICE index was 0.86 for T2GTV and 0.84 for ADCGTV The Bland-Altman plots globally showed concordance.
CONCLUSION: GTV delineation was smaller in the ADC maps compared to T2-MRI, reaching an almost perfect agreement between observers. Thanks to this acceptable variability, adding functional imaging might provide more information for tumor delineation, improving reproducibility for image-guided adaptive radiotherapy. Copyright
© 2020, International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved.

Entities:  

Keywords:  Cervical cancer; inter-observer agreement; magnetic resonance imaging; radiotherapy

Mesh:

Year:  2020        PMID: 32606170      PMCID: PMC7439893          DOI: 10.21873/invivo.11995

Source DB:  PubMed          Journal:  In Vivo        ISSN: 0258-851X            Impact factor:   2.155


  30 in total

1.  Critical discussion of evaluation parameters for inter-observer variability in target definition for radiation therapy.

Authors:  I Fotina; C Lütgendorf-Caucig; M Stock; R Pötter; D Georg
Journal:  Strahlenther Onkol       Date:  2012-01-27       Impact factor: 3.621

2.  Measuring the similarity of target volume delineations independent of the number of observers.

Authors:  Erik Kouwenhoven; Marina Giezen; Henk Struikmans
Journal:  Phys Med Biol       Date:  2009-04-21       Impact factor: 3.609

3.  Primary uterine cervical cancer: correlation of preoperative magnetic resonance imaging and clinical staging (FIGO) with histopathology findings.

Authors:  Zdenko Kraljević; Klaudija Visković; Mario Ledinsky; Dijana Zadravec; Ivan Grbavac; Marijana Bilandzija; Hrvojka Soljacić-Vranes; Krunoslav Kuna; Ksenija Klasnić; Ivan Krolo
Journal:  Coll Antropol       Date:  2013-06

4.  Early invasive cervical cancer: tumor delineation by magnetic resonance imaging, computed tomography, and clinical examination, verified by pathologic results, in the ACRIN 6651/GOG 183 Intergroup Study.

Authors:  Donald G Mitchell; Bradley Snyder; Fergus Coakley; Caroline Reinhold; Gillian Thomas; Marco Amendola; Lawrence H Schwartz; Paula Woodward; Harpreet Pannu; Hedvig Hricak
Journal:  J Clin Oncol       Date:  2006-12-20       Impact factor: 44.544

5.  Tumor detectability and conspicuity comparison of standard b1000 and ultrahigh b2000 diffusion-weighted imaging in rectal cancer.

Authors:  Andrea Delli Pizzi; Daniele Caposiena; Domenico Mastrodicasa; Stefano Trebeschi; Doenja Lambregts; Consuelo Rosa; Roberta Cianci; Barbara Seccia; Barbara Sessa; Filippo Maria Di Flamminio; Piero Chiacchiaretta; Luciana Caravatta; Sebastiano Cinalli; Pierluigi Di Sebastiano; Massimo Caulo; Domenico Genovesi; Regina Beets-Tan; Raffaella Basilico
Journal:  Abdom Radiol (NY)       Date:  2019-11

Review 6.  Monitoring treatment response in patients undergoing chemoradiotherapy for locally advanced uterine cervical cancer by additional diffusion-weighted imaging: A systematic review.

Authors:  Sanne M Schreuder; Rutger Lensing; Jaap Stoker; Shandra Bipat
Journal:  J Magn Reson Imaging       Date:  2014-10-24       Impact factor: 4.813

Review 7.  Recommendations from Gynaecological (GYN) GEC-ESTRO Working Group (I): concepts and terms in 3D image based 3D treatment planning in cervix cancer brachytherapy with emphasis on MRI assessment of GTV and CTV.

Authors:  Christine Haie-Meder; Richard Pötter; Erik Van Limbergen; Edith Briot; Marisol De Brabandere; Johannes Dimopoulos; Isabelle Dumas; Taran Paulsen Hellebust; Christian Kirisits; Stefan Lang; Sabine Muschitz; Juliana Nevinson; An Nulens; Peter Petrow; Natascha Wachter-Gerstner
Journal:  Radiother Oncol       Date:  2005-03       Impact factor: 6.280

8.  Apparent diffusion coefficients in GEC ESTRO target volumes for image guided adaptive brachytherapy of locally advanced cervical cancer.

Authors:  Søren Haack; Erik Morre Pedersen; Sune N Jespersen; Jesper F Kallehauge; Jacob Christian Lindegaard; Kari Tanderup
Journal:  Acta Oncol       Date:  2010-10       Impact factor: 4.089

9.  Uncertainties of target volume delineation in MRI guided adaptive brachytherapy of cervix cancer: a multi-institutional study.

Authors:  Primož Petrič; Robert Hudej; Peter Rogelj; Mateja Blas; Kari Tanderup; Elena Fidarova; Christian Kirisits; Daniel Berger; Johannes Carl Athanasios Dimopoulos; Richard Pötter; Taran Paulsen Hellebust
Journal:  Radiother Oncol       Date:  2013-02-27       Impact factor: 6.280

10.  Evaluation of Volumetric Doses of Organs at Risk in Carcinoma Cervix Patients with HDR Intracavitary Brachytherapy and Comparison of CT-based and Conventional Plans.

Authors:  S Srivastava; N K Painuly; S P Mishra; K Srivastava; N Singh; S Singh; M L B Bhatt
Journal:  J Biomed Phys Eng       Date:  2019-12-01
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  2 in total

1.  A deep learning-based self-adapting ensemble method for segmentation in gynecological brachytherapy.

Authors:  Zhen Li; Qingyuan Zhu; Lihua Zhang; Xiaojing Yang; Zhaobin Li; Jie Fu
Journal:  Radiat Oncol       Date:  2022-09-05       Impact factor: 4.309

2.  Exploring the impact of metabolic imaging in head and neck cancer treatment.

Authors:  Diana Raquel Dias Domingues; Michelle M Leech
Journal:  Head Neck       Date:  2022-07-01       Impact factor: 3.821

  2 in total

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