The usefulness of fully three-dimensional OSEM algorithm on lymph node metastases from lung cancer with 18F-FDG PET/CT
- نوع فایل : کتاب
- زبان : انگلیسی
- مؤلف : Kazumasa Inoue Etsuo Moriya Takayuki Suzuki Yoshiko Ohnuki Takashi Sato Hideaki Kitamura Tatsuya Sasaki Masahiro Fukushi Noriyuki Mori
- چاپ و سال / کشور: 2011
Description
Objective This work assessed the usefulness of fully threedimensional ordered subset expectation maximization (3D-OSEM) algorithm for lymph node (LN) metastases from lung cancer. 3D-OSEMimages were evaluated by comparing them with those reconstructed by conventional algorithms, such as conventional OSEM algorithm (2D-OSEM) for 2D acquisition and Fourier rebinning plus conventional OSEM algorithm (FORE ? OSEM) for 3D acquisition. Materials and methods In a phantom study, the contrast ratio, the image noise and the signal-to-noise ratio (SNR) were calculated, and the detectability and the image quality of these images were visually evaluated. In a clinical study, 14 patients suffering from lung cancer with LN metastases were evaluated. The image quality and the malignancy, and the detectability were visually evaluated. Results The contrast ratio was significantly improved using 3D-OSEM as compared with FORE ? OSEM, and it was similar to 2D-OSEM. The image noise and SNR in 3D-OSEM images were significantly improved compared with those by other algorithms (p\0.001). In the visual assessment, the image quality was significantly improved in 3D-OSEM images compared with those by 2D-OSEM and FORE ? OSEM (p\0.001, p = 0.001, respectively). In the clinical study, the image quality and the detectability of LN metastases were improved in 3D-OSEM images compared with those by FORE ? OSEM (p\0.001, p = 0.006, respectively), and image quality and detectability were similar to those of 2D-OSEM images. Conclusions 3D-OSEM algorithm successfully improved the diagnostic accuracy of LN metastases in 3D-PET tests.
Ann Nucl Med (2011) 25:277–287 DOI 10.1007/s12149-010-0462-y Received: 21 September 2010 / Accepted: 7 December 2010 / Published online: 15 January 2011
