Three-dimensional Conformal Radiation Planning Study for Limited-stage Small-cell Lung Cancer

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Authors: Yukinori Okada, Tatsuhiko Zama, Tomohiro Itonaga, Ryuji Mikami, Mitsuru Okubo, Shinji Sugahara, Shiho Wada, Tsubasa Kawamoto, Masanori Ishida, Motoki Nakaï, KOICHIRO ABE, Mana Yoshimura
+3 more Takashi S Kodama, Masahiko Kurooka, KAZUHIRO SAITO
Cited by: 0
References: 15

Abstract

Background/Aim: To carry out a preliminary study to evaluate the dose distribution variation between the analytical anisotropic algorithm (AAA) and the Boltzmann transport equation, and between point and volume prescriptions in three-dimensional conformal radiation for limited-stage small-cell lung cancer. Patients and Methods: We retrospectively selected patients with limited-stage small-cell lung cancer who received radiotherapy alone or chemoradiotherapy. Gross tumor volume (GTV), clinical target volume (CTV), and planning target volume (PTV) were evaluated. Dose evaluation was performed for PTV, with AAA as point prescription, AAA as 50% prescription of PTV, Boltzmann transport equation as point prescription, and Boltzmann transport equation as 50% prescription of PTV. Results: A total of 22 patients (15 males, 7 females; mean age=63.4 years) were included. The mean radiation doses for AAA/point AAA/D50, Boltzmann transport/point, and Boltzmann transport/D50 methods were 99.97±1.5%, 102.1±1.2%, 100.8±1.2%, and 101.3±1.3% to the GTV; 98.4±2.1%, 100.4±0.5%, 99.6±1.9%, 100.1±1.0% to the CTV; and 96.7±2.5%, 97.4±4.6%, 97.6±2.3%, 98.3±0.8% to the PTV, respectively. For AAA/point, AAA/D50, Boltzmann transport/point, and Boltzmann transport/D50 prescription methods, the correlation between the GTV (102.5±107.8 ml) and mean dose to the GTV was 0.23 (p=0.4), −0.476 (p=0.04), 0.00 (p=0.97), −0.79 (p

Fields of Study & Subjects

Advanced Radiotherapy Techniques Lung Cancer Diagnosis and Treatment Radiation Dose and Imaging

Publication details

Journal / source
Cancer Diagnosis & Prognosis
Volume
6
Issue
2
Pages
265–272
Publication date
1 March 2026
Language
EN