A feasibility study of treatment verification using EPID cine images for hypofractionated lung radiotherapy8

Physics in Medicine and Biology

Volumn 54, Issue 18, 2009, Pages

  Tang, Xiaoli ^a,b   Lin, Tong ^a,c   Jiang, Steve ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b UNIVERSITY OF NORTH CAROLINA SCHOOL OF MEDICINE   (United States)

^c Peking University   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL NEURAL NETWORK; CINE IMAGES; CLASSIFICATION ACCURACY; DIGITALLY RECONSTRUCTED RADIOGRAPHS; ELECTRONIC PORTAL IMAGING DEVICES; FEASIBILITY STUDIES; HIGH PRECISION; LUNG RADIOTHERAPY; MACHINE LEARNING ALGORITHMS; PRECISION RATES; RECALL RATE; TRAINING SAMPLE; TREATMENT VERIFICATION; TUMOR LOCATION; TWO-CLASS CLASSIFICATION PROBLEMS;

BACKPROPAGATION; BIOLOGICAL ORGANS; LEARNING ALGORITHMS; LEARNING SYSTEMS; LOCATION; NEURAL NETWORKS; PLANNING; PRINCIPAL COMPONENT ANALYSIS; RADIOGRAPHY; RADIOTHERAPY; RESOURCE ALLOCATION; TUMORS;

IMAGE RECONSTRUCTION;

ACCURACY; ADULT; AGED; ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; CANCER RADIOTHERAPY; CLINICAL ARTICLE; CONTROLLED STUDY; DEVICE; FEMALE; HUMAN; MACHINE LEARNING; MALE; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; TUMOR LOCALIZATION;

AGED; ARTIFICIAL INTELLIGENCE; DOSE FRACTIONATION; FEASIBILITY STUDIES; FEMALE; HUMANS; LUNG NEOPLASMS; MALE; PATTERN RECOGNITION, AUTOMATED; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; RADIOTHERAPY, COMPUTER-ASSISTED; RADIOTHERAPY, CONFORMAL; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; VIDEO RECORDING; X-RAY INTENSIFYING SCREENS;

EID: 71049117308     PISSN: 00319155     EISSN: 13616560     Source Type: Journal    
DOI: 10.1088/0031-9155/54/18/S01     Document Type: Article

References (10)

1. Arimura H, Anai S, Yoshidome S, Nakamura K, Shioyama Y, Nomoto S, Honda H, Onizuka Y and Terashima H 2007 Computerized method for measurement of displacement vectors of target positions on EPID cine images in stereotactic radiotherapy Med. Imaging 6512 65121U
2. Arslan S, Yilmaz A, Bayramqurler B, Uzman O, Nver E and Akkaya E 2002 CT-guided transthoracic fine needle aspiration of pulmonary lesions: accuracy and complications in 294 patients Med. Sci. Monit. 8 CR493-7
3. Berbeco R I, Hacker F, Ionascu D and Mamon H J 2007 Clinical feasibility of using an EPID in cine mode for image-guided verification of stereotactic body radiotherapy Int. J. Radiat. Oncol. Biol. Phys. 69 258-66
4. Berbeco R I, Mostafavi H, Sharp G C and Jiang S B 2005 Towards fluoroscopic respiratory gating for lung tumours without radiopaque markers Int. Phys. Pub. 50 4481-90
5. Geraghty P R, Kee S T, Mcfarlane G, Razavi M K, Sze D Y and Dake M D 2003 CT-guided transthoracic needle aspiration biopsy of pulmonary nodules: needle size and pneumothorax rate Radiology 229 475-81
6. Jemal A, Murray T, Ward E, Samuels A, Tiwari R C, Ghafoor A, Feuer E J and Thun M J 2005 Cancer statistics CA Cancer J. Clin. 55 10-30
7. Jiang S B 2006 Radiotherapy of mobile tumors Semin. Radiat. Oncol. 16 239-48
8. Laurent F, Latrabe V, Vergier B, Montaudon M, Vernejoux J M and Dubrez J 2000 CT-guided transthoracic needle biopsy of pulmonary nodules smaller than 20 mm: results with an automated 20-gauge coaxial cutting needle Clin. Radiol. 55 281-7
9. Naquib R N and Sherbet G V 2001 Artificial Neural Networks in Cancer Diagnosis, Prognosis, and Patient Management (Boca Raton, FL: CRC Press)
10. Topal U and Ediz B 2003 Transthoracic needle biopsy: factors effecting risk of pneumothorax Eur. J. Radiol. 48 263-7