Literature DB >> 24052169

The impact of computed tomography slice thickness on the assessment of stereotactic, 3D conformal and intensity-modulated radiotherapy of brain tumors.

R Caivano1, A Fiorentino, P Pedicini, G Califano, V Fusco.   

Abstract

PURPOSE: To evaluate radiotherapy treatment planning accuracy by varying computed tomography (CT) slice thickness and tumor size.
METHODS: CT datasets from patients with primary brain disease and metastatic brain disease were selected. Tumor volumes ranging from about 2.5 to 100 cc and CT scan at different slice thicknesses (1, 2, 4, 6 and 10 mm) were used to perform treatment planning (1-, 2-, 4-, 6- and 10-CT, respectively). For any slice thickness, a conformity index (CI) referring to 100, 98, 95 and 90 % isodoses and tumor size was computed. All the CI and volumes obtained were compared to evaluate the impact of CT slice thickness on treatment plans.
RESULTS: The smallest volumes reduce significantly if defined on 1-CT with respect to 4- and 6-CT, while the CT slice thickness does not affect target definition for the largest volumes. The mean CI for all the considered isodoses and CT slice thickness shows no statistical differences when 1-CT is compared to 2-CT. Comparing the mean CI of 1- with 4-CT and 1- with 6-CT, statistical differences appear only for the smallest volumes with respect to 100, 98 and 95 % isodoses-the CI for 90 % isodose being not statistically significant for all the considered PTVs.
CONCLUSIONS: The accuracy of radiotherapy tumor volume definition depends on CT slice thickness. To achieve a better tumor definition and dose coverage, 1- and 2-CT would be suitable for small targets, while 4- and 6-CT are suitable for the other volumes.

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Year:  2013        PMID: 24052169     DOI: 10.1007/s12094-013-1111-4

Source DB:  PubMed          Journal:  Clin Transl Oncol        ISSN: 1699-048X            Impact factor:   3.405


  15 in total

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4.  Comparative dosimetric and radiobiological assessment among a nonstandard RapidArc, standard RapidArc, classical intensity-modulated radiotherapy, and 3D brachytherapy for the treatment of the vaginal vault in patients affected by gynecologic cancer.

Authors:  Piernicola Pedicini; Rocchina Caivano; Alba Fiorentino; Lidia Strigari; Giorgia Califano; Viviana Barbieri; Piero Sanpaolo; Giovanni Castaldo; Marcello Benassi; Vincenzo Fusco
Journal:  Med Dosim       Date:  2012-03-03       Impact factor: 1.482

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7.  Clinical target volume definition for glioblastoma radiotherapy planning: magnetic resonance imaging and computed tomography.

Authors:  A Fiorentino; R Caivano; P Pedicini; V Fusco
Journal:  Clin Transl Oncol       Date:  2013-01-29       Impact factor: 3.405

8.  Acute radiation-induced pulmonary damage: a clinical study on the response to fractionated radiation therapy.

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9.  Volume assessment accuracy in computed tomography: a phantom study.

Authors:  Nicolas D Prionas; Shonket Ray; John M Boone
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10.  CT slice index and thickness: impact on organ contouring in radiation treatment planning for prostate cancer.

Authors:  E Berthelet; M Liu; P Truong; P Czaykowski; N Kalach; C Yu; K Patterson; T Currie; S Kristensen; W Kwan; V Moravan
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  6 in total

1.  The effect of slice thickness on target and organs at risk volumes, dosimetric coverage and radiobiological impact in IMRT planning.

Authors:  S P Srivastava; C-W Cheng; I J Das
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2.  What is the best way to evaluate clinical target volume for radiotherapy of brain tumors?

Authors:  Alba Fiorentino; Piernicola Pedicini; Rocchina Caivano; Vincenzo Fusco
Journal:  CNS Oncol       Date:  2013-11

3.  A simple method of evaluating margin-growing accuracy in image-guided radiation therapy.

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4.  Assessment of biological dosimetric margin for stereotactic body radiation therapy.

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5.  Impact of CT slice thickness on volume and dose evaluation during thoracic cancer radiotherapy.

Authors:  Huanli Luo; Yanan He; Fu Jin; Dingyi Yang; Xianfeng Liu; Xueqi Ran; Ying Wang
Journal:  Cancer Manag Res       Date:  2018-09-20       Impact factor: 3.989

6.  Assessing the accuracy of computed tomography in detecting bony invasion and thickness of squamous cell carcinoma of the scalp.

Authors:  Conor T Boylan; Michaela S Gaston; Puja Merwaha; Kurdow Nader; Sukhbir Rayatt
Journal:  Neuroradiol J       Date:  2021-06-02
  6 in total

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