医学
无线电技术
肺癌
置信区间
肺活量
肺功能测试
核医学
肺容积
肺
放射科
内科学
肺功能
扩散能力
作者
Yoshiro Ieko,Noriyuki Kadoya,Yuto Sugai,Shiina Mouri,Mariko Umeda,Shohei Tanaka,Takashi Kanai,Kei Ichiji,Takaya Yamamoto,Hiroyoshi Ariga,Keiichi Jingu
标识
DOI:10.1016/j.ejmp.2022.07.003
摘要
Purpose We aimed to assess radiomics approaches for estimating three pulmonary function test (PFT) results (forced expiratory volume in one second [FEV1], forced vital capacity [FVC], and the ratio of FEV1 to FVC [FEV1/FVC]) using data extracted from chest computed tomography (CT) images. Methods This retrospective study included 85 lung cancer patients (mean age, 75 years ±8; 69 men) who underwent stereotactic body radiotherapy between 2012 and 2020. Their pretreatment chest breath-hold CT and PFT data before radiotherapy were obtained. A total of 107 radiomics features (Shape: 14, Intensity: 18, Texture: 75) were extracted using two methods: extraction of the lung tissue (<-250 HU) (APPROACH 1), and extraction of small blood vessels and lung tissue (APPROACH 2). The PFT results were estimated using the least absolute shrinkage and selection operator regression. Pearson’s correlation coefficients (r) were determined for all PFT results, and the area under the curve (AUC) was calculated for FEV1/FVC (<70 %). Finally, we compared our approaches with the conventional formula (Conventional). Results For the estimated FEV1/FVC, the Pearson’s r were 0.21 (P =.06), 0.69 (P <.01), and 0.73 (P <.01) for Conventional, APPROACH 1, and APPROACH 2, respectively; the AUCs for FEV1/FVC (<70 %) were 0.67 (95 % confidence interval [CI]: 0.55, 0.79), 0.82 (CI: 0.72, 0.91; P =.047) and 0.86 (CI: 0.78, 0.94; P =.01), respectively. Conclusions The radiomics approach performed better than the conventional equation and may be useful for assessing lung function based on CT images.
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