Literature DB >> 19057269

Use of Maximum Intensity Projections (MIPs) for target outlining in 4DCT radiotherapy planning.

Rebecca Muirhead1, Stuart G McNee, Carrie Featherstone, Karen Moore, Sarah Muscat.   

Abstract

INTRODUCTION: Four-dimensional computed tomography (4DCT) is currently being introduced to radiotherapy centers worldwide, for use in radical radiotherapy planning for non-small cell lung cancer (NSCLC). A significant drawback is the time required to delineate 10 individual CT scans for each patient. Every department will hence ask the question if the single Maximum Intensity Projection (MIP) scan can be used as an alternative. Although the problems regarding the use of the MIP in node-positive disease have been discussed in the literature, a comprehensive study assessing its use has not been published. We compared an internal target volume (ITV) created using the MIP to an ITV created from the composite volume of 10 clinical target volumes (CTVs) delineated on the 10 phases of the 4DCT.
METHODS: 4DCT data was collected from 14 patients with NSCLC. In each patient, the ITV was delineated on the MIP image (ITV_MIP) and a composite ITV created from the 10 CTVs delineated on each of the 10 scans in the dataset. The structures were compared by assessment of volumes of overlap and exclusion.
RESULTS: There was a median of 19.0% (range, 5.5-35.4%) of the volume of ITV_10phase not enclosed by the ITV_MIP, demonstrating that the use of the MIP could result in under-treatment of disease. In contrast only a very small amount of the ITV_MIP was not enclosed by the ITV_10phase (median of 2.3%, range, 0.4-9.8%), indicating the ITV_10phase covers almost all of the tumor tissue as identified by MIP. Although there were only two Stage I patients, both demonstrated very similar ITV_10phase and ITV_MIP volumes. These findings suggest that Stage I NSCLC tumors could be outlined on the MIP alone. In Stage II and III tumors the ITV_10phase would be more reliable.
CONCLUSIONS: To prevent under-treatment of disease, the MIP image can only be used for delineation in Stage I tumors.

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Year:  2008        PMID: 19057269     DOI: 10.1097/JTO.0b013e31818e5db7

Source DB:  PubMed          Journal:  J Thorac Oncol        ISSN: 1556-0864            Impact factor:   15.609


  30 in total

1.  An assessment of cone beam CT in the adaptive radiotherapy planning process for non-small-cell lung cancer patients.

Authors:  Aileen Duffton; Stephen Harrow; Carolynn Lamb; Mark McJury
Journal:  Br J Radiol       Date:  2016-04-07       Impact factor: 3.039

2.  Inferring positions of tumor and nodes in Stage III lung cancer from multiple anatomical surrogates using four-dimensional computed tomography.

Authors:  Kathleen T Malinowski; Jason R Pantarotto; Suresh Senan; Thomas J McAvoy; Warren D D'Souza
Journal:  Int J Radiat Oncol Biol Phys       Date:  2010-06-03       Impact factor: 7.038

3.  Interobserver variability of patient positioning using four different CT datasets for image registration in lung stereotactic body radiotherapy.

Authors:  Markus Oechsner; Barbara Chizzali; Michal Devecka; Stefan Münch; Stephanie Elisabeth Combs; Jan Jakob Wilkens; Marciana Nona Duma
Journal:  Strahlenther Onkol       Date:  2017-07-19       Impact factor: 3.621

4.  Automatic assessment of average diaphragm motion trajectory from 4DCT images through machine learning.

Authors:  Guang Li; Jie Wei; Hailiang Huang; Carl Philipp Gaebler; Amy Yuan; Joseph O Deasy
Journal:  Biomed Phys Eng Express       Date:  2015-12-29

5.  The advanced radiotherapy network (ART-NET) UK lung stereotactic ablative radiotherapy survey: national provision and a focus on image guidance.

Authors:  Matthew Beasley; Sean Brown; Helen McNair; Corinne Faivre-Finn; Kevin Franks; Louise Murray; Marcel van Herk; Ann Henry
Journal:  Br J Radiol       Date:  2019-04-24       Impact factor: 3.039

Review 6.  A review of automatic lung tumour segmentation in the era of 4DCT.

Authors:  Nadine Wong Yuzhen; Sarah Barrett
Journal:  Rep Pract Oncol Radiother       Date:  2019-02-22

Review 7.  Challenges in the target volume definition of lung cancer radiotherapy.

Authors:  Susan Mercieca; José S A Belderbos; Marcel van Herk
Journal:  Transl Lung Cancer Res       Date:  2021-04

Review 8.  Local Control After Stereotactic Body Radiation Therapy for Stage I Non-Small Cell Lung Cancer.

Authors:  Percy Lee; Billy W Loo; Tithi Biswas; George X Ding; Issam M El Naqa; Andrew Jackson; Feng-Ming Kong; Tamara LaCouture; Moyed Miften; Timothy Solberg; Wolfgang A Tome; An Tai; Ellen Yorke; X Allen Li
Journal:  Int J Radiat Oncol Biol Phys       Date:  2019-04-05       Impact factor: 8.013

9.  Usefulness of target delineation based on the two extreme phases of a four-dimensional computed tomography scan in stereotactic body radiation therapy for lung cancer.

Authors:  Seong Soon Jang; Gil Ja Huh; Suk Young Park; Po Song Yang; EunYoun Cho
Journal:  Thorac Cancer       Date:  2015-04-24       Impact factor: 3.500

10.  Reconstitution of internal target volumes by combining four-dimensional computed tomography and a modified slow computed tomography scan in stereotactic body radiotherapy planning for lung cancer.

Authors:  Seong Soon Jang; Gil Ja Huh; Suk Young Park; Po Song Yang; Hae Nam Chung; Jae Hyuk Seo; Ji Chan Park; Young Jun Yang; Eun Youn Cho
Journal:  Radiat Oncol       Date:  2014-05-02       Impact factor: 3.481

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