Discrepancy between collapsed cone and Monte Carlo algorithms in lung inhomogeneity correction.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος:	Discrepancy between collapsed cone and Monte Carlo algorithms in lung inhomogeneity correction.
Συγγραφείς:	Karimi AH; Department of Medical Physics and Biomedical Engineering, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.; Division of Medical Physics, Cancer Institute, Tehran University of Medical Sciences, Tehran, Iran., Das IJ; Department of Radiation Oncology, Northwestern Memorial Hospital, Northwestern University Feinberg School of Medicine, Chicago, IL, United States of America., Moharramkhani S; Department of Medical Physics and Biomedical Engineering, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.; Division of Medical Physics, Cancer Institute, Tehran University of Medical Sciences, Tehran, Iran., Mirzaei H; Department of Medical Physics and Biomedical Engineering, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran., Esposito M; The Abdus Salam International Centre for Theoretical Physics, Trieste, Italy., Geraily G; Department of Medical Physics and Biomedical Engineering, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.; Division of Medical Physics, Cancer Institute, Tehran University of Medical Sciences, Tehran, Iran.
Πηγή:	Biomedical physics & engineering express [Biomed Phys Eng Express] 2026 Sep 11; Vol. 12 (5). Date of Electronic Publication: 2026 Sep 11.
Τύπος έκδοσης:	Journal Article
Γλώσσα:	English
Στοιχεία περιοδικού:	Publisher: IOP Publishing Ltd Country of Publication: England NLM ID: 101675002 Publication Model: Electronic Cited Medium: Internet ISSN: 2057-1976 (Electronic) Linking ISSN: 20571976 NLM ISO Abbreviation: Biomed Phys Eng Express Subsets: MEDLINE
Imprint Name(s):	Original Publication: Bristol : IOP Publishing Ltd., [2015]-
Ιατρικοί όροι (MeSH):	Radiotherapy Planning, Computer-Assisted/methods , Lung Neoplasms/radiotherapy , Lung/radiation effects , Carcinoma, Non-Small-Cell Lung/radiotherapy , Algorithms* , Monte Carlo Method*, Radiosurgery/methods ; Humans ; Phantoms, Imaging ; Radiotherapy Dosage ; Photons
Περίληψη:	Stereotactic body radiation therapy (SBRT) is a well-established standard of treatment for non-small cell lung cancer patients. However, SBRT is a double-edged sword and a high degree of accuracy is required for dose calculations. In the presence of inhomogeneity, it should be below 3% and depends strongly on the accuracy of the algorithm used for dose calculation in treatment planning system (TPS). The aim of this study is to evaluate the accuracy of collapsed cone (CC) algorithm for dose calculation in the presence of lung inhomogeneity compared to the Monte Carlo (MC) algorithm as the reference. The study conducted on a wide range of photon fields from 0.5 × 0.5 cm²to 10 × 10 cm². Monaco® TPS equipped with CC and MC algorithms in 6 MV, 10 MV, and 18 MV photons was employed and the inhomogeneity correction factor and PPDs were calculated inside an in-house inhomogeneous phantom. Finally, the results were compared between two algorithms. For 6 MV photons, gamma index pass rate (GIPR) with (2 mm, 3%) criteria in a 0.5 × 0.5 cm²field is only 71.3%. The CC algorithm will not be able to confidently reproduce the PDDs in this field. For 1 × 1 cm², 2 × 2 cm², and 3 × 3 cm²fields, the accuracy of the CC algorithm can increase to above 98%. For SBRT of small lung lesions, the results recommend increasing the minimum segment width to >0.5 cm in IMRT plans if CC algorithm is used. Independent of field size, the accuracy of CC algorithm decreases with increasing energy. For 10 and 18 MV photons, average GIPR under (2 mm, 3%) criteria was 97.9% and 92.0%, respectively, which are not of clinical interest. (© 2026 IOP Publishing Ltd. All rights, including for text and data mining, AI training, and similar technologies, are reserved.)
Contributed Indexing:	Keywords: Monte Carlo; SBRT; collapsed cone; lung inhomogeneity; small field dosimetry
Entry Date(s):	Date Created: 20260903 Date Completed: 20260911 Latest Revision: 20260924
Update Code:	20260925
DOI:	10.1088/2057-1976/aea1f9
PMID:	42689954
Βάση Δεδομένων:	MEDLINE

Περιγραφή
ISSN:	2057-1976
DOI:	10.1088/2057-1976/aea1f9