Literature DB >> 30806479

Longitudinal fan-beam computed tomography dataset for head-and-neck squamous cell carcinoma patients.

Tatiana Bejarano1, Mariluz De Ornelas-Couto1, Ivaylo B Mihaylov1.   

Abstract

PURPOSE: To describe in detail a dataset consisting of longitudinal fan-beam computed tomography (CT) imaging to visualize anatomical changes in head-and-neck squamous cell carcinoma (HNSCC) patients throughout radiotherapy (RT) treatment course. ACQUISITION AND VALIDATION
METHODS: This dataset consists of CT images from 31 HNSCC patients who underwent volumetric modulated arc therapy (VMAT). Patients had three CT scans acquired throughout the duration of the radiation treatment course. Pretreatment planning CT scans with a median of 13 days before treatment (range: 2-27), mid-treatment CT at 22 days after start of treatment (range: 13-38), and post-treatment CT 65 days after start of treatment (range: 35-192). Patients received RT treatment to a total dose of 58-70 Gy, using daily 2.0-2.20 Gy, fractions for 30-35 fractions. The fan-beam CT images were acquired using a Siemens 16-slice CT scanner head protocol with 120 kV and current of 400 mAs. A helical scan with 1 rotation per second was used with a slice thickness of 2 mm and table increment of 1.2 mm. In addition to the imaging data, contours of anatomical structures for RT, demographic, and outcome measurements are provided. DATA FORMAT AND USAGE NOTES: The dataset with DICOM files including images, RTSTRUCT files, and RTDOSE files can be found and publicly accessed in the Cancer Imaging Archive (TCIA, http://www.cancerimagingarchive.net/) as collection Head-and-neck squamous cell carcinoma patients with CT taken during pretreatment, mid-treatment, and post-treatment (HNSCC-3DCT-RT). DISCUSSION: This is the first dataset to date in TCIA which provides a collection of multiple CT imaging studies (pretreatment, mid-treatment, and post-treatment) throughout the treatment course. The dataset can serve a wide array of research projects including (but not limited to): quantitative imaging assessment, investigation on anatomical changes with treatment progress, dosimetry of target volumes and/or normal structures due to anatomical changes occurring during treatment, investigation of RT toxicity, and concurrent chemotherapy and RT effects on head-and-neck patients.
© 2019 American Association of Physicists in Medicine.

Entities:  

Keywords:  zzm321990CTzzm321990; fan-beam computed tomography; head-and-neck squamous cell carcinoma

Mesh:

Year:  2019        PMID: 30806479      PMCID: PMC6510641          DOI: 10.1002/mp.13460

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  9 in total

1.  Quality assurance for computed-tomography simulators and the computed-tomography-simulation process: report of the AAPM Radiation Therapy Committee Task Group No. 66.

Authors:  Sasa Mutic; Jatinder R Palta; Elizabeth K Butker; Indra J Das; M Saiful Huq; Leh-Nien Dick Loo; Bill J Salter; Cynthia H McCollough; Jacob Van Dyk
Journal:  Med Phys       Date:  2003-10       Impact factor: 4.071

2.  Spatial and dosimetric variability of organs at risk in head-and-neck intensity-modulated radiotherapy.

Authors:  James L Robar; Allan Day; James Clancey; Robin Kelly; Mammo Yewondwossen; Helmut Hollenhorst; Murali Rajaraman; Derek Wilke
Journal:  Int J Radiat Oncol Biol Phys       Date:  2007-03-29       Impact factor: 7.038

3.  Assessment of parotid gland dose changes during head and neck cancer radiotherapy using daily megavoltage computed tomography and deformable image registration.

Authors:  Choonik Lee; Katja M Langen; Weiguo Lu; Jason Haimerl; Eric Schnarr; Kenneth J Ruchala; Gustavo H Olivera; Sanford L Meeks; Patrick A Kupelian; Thomas D Shellenberger; Rafael R Mañon
Journal:  Int J Radiat Oncol Biol Phys       Date:  2008-06-04       Impact factor: 7.038

4.  Toxicity and response criteria of the Eastern Cooperative Oncology Group.

Authors:  M M Oken; R H Creech; D C Tormey; J Horton; T E Davis; E T McFadden; P P Carbone
Journal:  Am J Clin Oncol       Date:  1982-12       Impact factor: 2.339

5.  Clinical implementation of intensity-modulated arc therapy.

Authors:  Cedric X Yu; X Allen Li; Lijun Ma; Dongjun Chen; Shahid Naqvi; David Shepard; Mehrdad Sarfaraz; Timothy W Holmes; Mohan Suntharalingam; Carl M Mansfield
Journal:  Int J Radiat Oncol Biol Phys       Date:  2002-06-01       Impact factor: 7.038

6.  Quantification of volumetric and geometric changes occurring during fractionated radiotherapy for head-and-neck cancer using an integrated CT/linear accelerator system.

Authors:  Jerry L Barker; Adam S Garden; K Kian Ang; Jennifer C O'Daniel; He Wang; Laurence E Court; William H Morrison; David I Rosenthal; K S Clifford Chao; Susan L Tucker; Radhe Mohan; Lei Dong
Journal:  Int J Radiat Oncol Biol Phys       Date:  2004-07-15       Impact factor: 7.038

7.  Volumetric and positional changes of planning target volumes and organs at risk using computed tomography imaging during intensity-modulated radiation therapy for head-neck cancer: an "old" adaptive radiation therapy approach.

Authors:  Alessia Reali; Silvia Maria Anglesio; Gianluca Mortellaro; Simona Allis; Sara Bartoncini; Maria Grazia Ruo Redda; Francesca Arcadipane
Journal:  Radiol Med       Date:  2014-02-08       Impact factor: 3.469

8.  Intensity-modulated arc therapy with dynamic multileaf collimation: an alternative to tomotherapy.

Authors:  C X Yu
Journal:  Phys Med Biol       Date:  1995-09       Impact factor: 3.609

9.  Synthetic head and neck and phantom images for determining deformable image registration accuracy in magnetic resonance imaging.

Authors:  Rachel B Ger; Jinzhong Yang; Yao Ding; Megan C Jacobsen; Carlos E Cardenas; Clifton D Fuller; Rebecca M Howell; Heng Li; R Jason Stafford; Shouhao Zhou; Laurence E Court
Journal:  Med Phys       Date:  2018-07-14       Impact factor: 4.071

  9 in total

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