Prognostic impact of highly solid component in early-stage solid lung adenocarcinoma

Taketo Kato; Shingo Iwano; Yuki Hanamatsu; Masato Nakaguro; Ryo Emoto; Shoji Okado; Keiyu Sato; Osamu Noritake; Keita Nakanishi; Yuka Kadomatsu; Harushi Ueno; Naoki Ozeki; Shota Nakamura; Koichi Fukumoto; Tamotsu Takeuchi; Kennosuke Karube; Shigeyuki Matsui; Toyofumi Fengshi Chen-Yoshikawa

doi:10.21037/qims-23-36

Prognostic impact of highly solid component in early-stage solid lung adenocarcinoma

Quant Imaging Med Surg. 2023 Sep 1;13(9):5641-5652. doi: 10.21037/qims-23-36. Epub 2023 Jul 24.

Authors

Taketo Kato¹, Shingo Iwano², Yuki Hanamatsu³, Masato Nakaguro⁴, Ryo Emoto⁵, Shoji Okado¹, Keiyu Sato¹, Osamu Noritake¹, Keita Nakanishi¹, Yuka Kadomatsu¹, Harushi Ueno¹, Naoki Ozeki¹, Shota Nakamura¹, Koichi Fukumoto¹, Tamotsu Takeuchi³, Kennosuke Karube⁴, Shigeyuki Matsui⁵, Toyofumi Fengshi Chen-Yoshikawa¹

Affiliations

¹ Department of Thoracic Surgery, Nagoya University Graduate School of Medicine, Nagoya, Japan.
² Department of Radiology, Nagoya University Graduate School of Medicine, Nagoya, Japan.
³ Department of Pathology and Translational Research, Gifu University School of Medicine, Gifu, Japan.
⁴ Department of Pathology and Laboratory Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan.
⁵ Department of Biostatistics, Nagoya University Graduate School of Medicine, Nagoya, Japan.

Abstract

Background: Based on computed tomography (CT) findings of lung cancer, solid nodules have a much worse prognosis than subsolid nodules, even if the nodules are subcentimeter in size. There is, however, no systematic method for determining the prognosis of solid tumors on CT. This study aimed to discover the prognostic factor of early-stage solid lung adenocarcinoma using three-dimensional CT volumetry.

Methods: Patients with pathological stage I solid lung adenocarcinoma who underwent complete resection between 2007 and 2012 were selected in this retrospective study. Clinicopathological data and preoperative multidetector CT findings, such as tumor size on the two-dimensional axial image, three-dimensional tumor volume between -600 and 199 HU, and three-dimensional solid volume between 0 and 199 HU, which corresponded to highly solid components, were compared between recurrence and non-recurrence. Furthermore, these radiological values were compared to pathological invasive volume (PIV).

Results: During this time, 709 patients had their lung cancer completely removed. From this cohort, 90 patients with pathological stage I solid lung adenocarcinoma were selected. In addition, recurrence was found in 26 patients (28.9%). Although two-dimensional axial image, serum carcinoembryonic antigen (CEA) level, and SUVmax on 18F fluorodeoxyglucose positron emission tomography/computed tomography (FDG-PET/CT) did not differ statistically between recurrent and non-recurrent patients, three-dimensional tumor and solid tumor volume did. Multivariate analysis indicated that three-dimensional solid tumor volume [hazard ratio: 2.440; 95% confidence interval (CI): 1.110-5.361, P=0.026] and epidermal growth factor receptor (EGFR) mutation (hazard ratio: 4.307; 95% CI: 1.328-13.977, P=0.015) were significantly associated with disease-free survival (DFS). When three-dimensional tumor and solid tumor volume were compared to PIV, three-dimensional solid tumor volume (3,091 mm³ on average) showed a highly similar value with PIV (2,930 mm³ on average), whereas three-dimensional tumor volume (6,175 mm³ on average) was significantly larger than PIV (P<0.001).

Conclusions: In patients with early-stage solid lung adenocarcinoma, the measurement of three-dimensional solid tumor volume, which is correlated with PIV, accurately predicted the postoperative outcome.

Keywords: Solid lung cancer; computed tomography volumetry; invasive volume; prognostic prediction.