Literature DB >> 28664175

CT images and radiotherapy treatment planning of patients with breast cancer: A dataset.

Mohammad Rezaei1, Ahmad Mohammadbeigi2, Karim Khoshgard3, Abbas Haghparast3.   

Abstract

The data presented here were originally collected for the research project "CT-Scan processing and analysis in patient with breast cancer after radiotherapy". Also, it reported in our study "Prediction of Lung Tissue Damage by Evaluating Clinical and Dosimetric Parameters in Breast Cancer Patients" (Hasanabdali et al., 2016) [1]. This article describes and directly links to 52 subjects referred to Mahdieh Oncology and Radiotherapy Center from February to August 2015. Treatment planning was done for delivering 50 Gy dose to PTV in 25 fractions. the lungs and heart objects were extracted from CT images along with compliance Dose plan. Dose-volume histogram (DVH) and Dose-mass histogram (DMH) extracted using CT images and dose plan matrix. Moreover, the complete clinical and dosimetric specifications of subjects is attached.

Entities:  

Keywords:  Bioimage dataset; Breast cancer; Lung injury; Radiotherapy

Year:  2017        PMID: 28664175      PMCID: PMC5480817          DOI: 10.1016/j.dib.2017.06.002

Source DB:  PubMed          Journal:  Data Brief        ISSN: 2352-3409


Specifications Table Value of the data Raw data can be reprocessed using algorithms and other procedures in future research in the study area. The data presents the full-information (raw & analyzed data) for 52 subjects with breast cancer.

Experimental design, materials and methods

Participant

In this prospective analysis 52 patients (one patient with only external given dose) ages 34 to 71 years, (mean age: 47 years) with stages II, III breast cancers who were referred to Mahdieh radiotherapy center in Hamedan of Iran between February to August 2015 were included [1]. All patients, 25 patients with left and 26 patients with right breast involvement, which were at stages II and III (according to the American Joint Committee on Cancer (AJCC)) had undergone modified radical mastectomy (MRM) or mastectomy [3]. All patients had received prior chemotherapy with a same regimen of 8 stages one month before radiotherapy. Also, patients with smoking addiction and or had suffered from background lung and or heart diseases were previously excluded from our study. Some anatomical and dosimetric data of the patients including CLD, bridge separation (BS) and irradiated lung volumes in tangential field were obtained from the treatment plans of the patients. Summary of patients’ characteristics presented in Table 1.
Table 1

Summary of patients’ characteristics.

charactersNo. of patients (%)
Age (years)Mean47
Range34–71
Tumor siteLeft25(49%)
Right26(51%)
surgeryMastectomy27(52%)
Modify radical mastectomy24(48%)
T stageT18(15%)
T228(55%)
T315(30%)
N stageN07
N119
N222
N33
Summary of patients’ characteristics.

Radiation therapy

Radiotherapy of the patients was done using 6-MV and 15-MV photon beams produced by a linear accelerator of electron (Primus, Siemens, Germany). Before radiotherapy, patients were immobilized using a breast board in the supine position while both arms were expanded over the head. CT images were obtained using a single-slice CT-scan unit (Sensation, Siemens, Germany) transverse slices with thickness of 8 mm. Treatment planning of radiation therapy based on the CT-scan slices for the patients was performed using the Core-PLAN (version 3.5.0.5, Seoul C & J Co., Seoul, South Korea) treatment planning system (TPS) [4]. Dose delivery technique was single isocentric and SAD for delivering 2 Gy per day over 5 consecutive days per week. A sample of the breast cancer treatment planning is shown in Fig. 1. The breast parenchyma (chest wall in the patients with mastectomy and whole breast for modify radical mastectomies) were outlined as clinical target volume (CTV); also left and right lungs volumes were separately contoured as the organ at risk (OAR) structures. A part of ipsilateral lung volume of all patients was within the tangential radiation field. Dose calculations were carried out using equivalent tissue to air ratio (ETAR) algorithm. The absorbed dose received by the ipsilateral lung was derived from the patients’ treatment plans. CLD parameter which defined as the perpendicular distance from the posterior tangential field edge to the posterior part of the tangential field was measured on the CT images for each patient [5]. Also, the percentage of lung volume which is located in the tangential field was calculated.
Fig. 1

(Left) A sample breast cancer treatment plan (tangential field), (Right) supraclavicular field.

(Left) A sample breast cancer treatment plan (tangential field), (Right) supraclavicular field. The prescribed dose to the PTV was 50 Gy in 25 fractions. A number of 11 patients (6.6%) received five more fractions as a boost using 6 MV or 15 MV photon beams or 15 MeV electron beam to the tumor bed. All patients treated with tangential opposed fields, with or without an anterior supraclavicular field; however, 6 patients (6.3%) had internal mammary node (IMN) radiation field using photon or electron beams in addition to tangential and/or supraclavicular fields. Post axillary field was used in 9 patients (4.5%), too. The planning goals were to cover 95% of the target volume with 100% of the prescription dose and to keep the critical structure doses at or below known tolerance limits [5]. Tangential fields were defined in treatment planning, in which the minimum lung volume would be in radiation field while having an appropriate coverage of dose to PTV. This will lead to maximum protection of surrounding normal (lung) tissue.

Pulmonary function evaluation

Pulmonary function parameters were assessed using a spirometry System in the Shahid Beheshti hospital in Hamedan, Iran, according to the American Thoracic Society recommendation [6]. Parameters estimated included Dynamic or forced parameters (forced expiratory volume in 1 second [FEV 1], forced vital capacity [FVC]) were measured with spirometry. Moreover, another parameter measured that are expressed in Table 2.
Table 2

Pulmonary function parameters for a patient as example: Parameter values and reference values and their percentage are also expressed.

value3%RefRefUnit
FVC2.771272.18L
FEV11.851021.81L
FEV1/IVC78%
FEV1/FVC678678%
PEF4.57865.32L/S
MEF253.01614.92L/S
MEF501.53463.34L/S
MEF750.27231.2L/S
MEF25-750.96352.78L/S
Aex4.7LL/s
Pulmonary function parameters for a patient as example: Parameter values and reference values and their percentage are also expressed. All of these pulmonary function tests were accomplished before and after completion of Radiotherapy, 3 and 6 months afterwards and were examined by a pulmonologist. The Common Toxicity Criteria for Adverse Events (version 4.03) of the National Cancer Institute [7] were used for the definition of Pneumonitis. Values were coordinated by sex, age, weight and height and expressed as a percentage of predicted reference values [8]. Total spirometry data for 52 patient packaged in Spirometry.mat.

Data processing

Data including CT images and spirometry information have only been collected, but other data including organs segmentation, dose-volume histogram (DVH), volume -dose histogram (VDH) and dose-mass histogram (DMH), are processed. A program, “AcquisitionDicom.m”, is responsible for Individually segmentation and extracting organs from CT images. Extracted organs is including the lungs, the heart, Part of body is known as the External and clinical target volume (CTv). Classified information is such that can be display one or more organs in 3D for each patient. A program, “Object3D.m”, is responsible for this task. Fig. 2 shows lungs in 3D.
Fig. 2

Lungs in 3D extracted using “Object3D.m”.

Lungs in 3D extracted using “Object3D.m”. DVH and VDH data extraction is also done by “DVH_Calc.m” and “VDH_Calc.m” based on CT images and dose matrix. For extracting DMH data, in firstly, density based on CT number and then mass of voxels is calculated. A program, “DMH_Calc.m” and a sub program “ToMass.m” are containing above steps. To convert the intensity values of each voxel in the CT images to mass is used transform chart providing by CorePLAN software. In Fig. 3 shown mentioned transform chart.
Fig. 3

Mentioned transform chart for transformation CT-Number to density in CorePLAN software.

Mentioned transform chart for transformation CT-Number to density in CorePLAN software.
Subject areaBiology
More specific subject areaRadiotherapy, cancer, psychophysiological insomnia, Respiratory
Type of dataTable( Excel spreadsheets), text file, m-file, mat file, image(DICOM files)
How data was acquiredData were recorded using Siemens Primus linear accelerator 6 MV/15 MV Photonic and Sensation Siemens CT scan 1 slice. Also, analyzed data was acquired using Matlab software.
Data formatRaw data, analyzed,
Experimental factorsclinical and dosimetric specifications of subjects, radiation dose measured by treatment planning, CT image and respiratory information. Age, gender, height, weight, education, marriage, and body mass index were used as covariates.
Experimental featuresthe lungs and heart objects were extracted from CT images along with compliance Dose plan, DVH, DMH
Data source locationSamples were collected in Mahdieh Oncology and Radiotherapy Center from February to August 2015.
Data accessibilityThe dataset is freely available at[2]for any academic, educational, and research purposes.
https://data.mendeley.com/datasets/vj83jj6fvt/draft?a=e29e5cdd-ac83-420d-b519-b55454567f61
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1.  Interpretative strategies for lung function tests.

Authors:  R Pellegrino; G Viegi; V Brusasco; R O Crapo; F Burgos; R Casaburi; A Coates; C P M van der Grinten; P Gustafsson; J Hankinson; R Jensen; D C Johnson; N MacIntyre; R McKay; M R Miller; D Navajas; O F Pedersen; J Wanger
Journal:  Eur Respir J       Date:  2005-11       Impact factor: 16.671

2.  Standardization of spirometry--1987 update. Statement of the American Thoracic Society.

Authors: 
Journal:  Am Rev Respir Dis       Date:  1987-11
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