Predicting recurrence of non-small cell lung cancer based on mean computed tomography value

• DOI: 10.1186/s13019-021-01476-0
• Publication Date: 2021-05-12T17:03:24Z
• Authors: Masaya Tamura; Isao Matsumoto; Yusuke Tanaka; Daisuke Saito; Shuhei Yoshida; Munehisa Takata
• Keywords: Adult; Male; Ground-glass opacity; Lung Neoplasms; RD1-811; Mean- computed tomography value; Risk Assessment; 03 medical and health sciences; 0302 clinical medicine; Anesthesiology; Predictive Value of Tests; Carcinoma, Non-Small-Cell Lung; Humans; RD78.3-87.3; Pneumonectomy; Lung; Aged; Neoplasm Staging; Retrospective Studies; Aged, 80 and over; Recurrence free survival; Carcinoma; Middle Aged; 3. Good health; Logistic Models; ROC Curve; Surgery; Female; Neoplasm Recurrence, Local; Research Article; Follow-Up Studies

Abstract Background The aim of this study was to assess the ability of using mean computed tomography (mCT) values to predict non-small cell lung cancer (NSCLC) tumor recurrence.

Methods A retrospective study was conducted on 494 patients with stage IA NSCLC. Receiver operating characteristics analysis was used to assess the ability to use mCT value, C/T ratio, tumor size, and SUV to predict tumor recurrence. Multiple logistic regression analyses were performed to determine the independent variables for the prediction of tumor recurrence.

Results The m-CT values were − 213.7 ± 10.2 Hounsfield Units (HU) for the recurrence group and − 594.1 ± 11.6 HU for the non-recurrence group (p < 0.0001). Recurrence occurred in 45 patients (9.1%). The tumor recurrence group was strongly associated with a high CT attenuation value, high C/T ratio, large solid tumor size, and SUV. The diagnostic value of mCT value was more accurate than the C/T ratio, excluding the pure ground-glass opacity and pure solid (0 < C/T ratio < 100) groups. The SUV and mCT are independent predictive factors of tumor recurrence.

Conclusions The evaluation of mCT values was useful for predicting recurrence after the limited resection of small-sized NSCLC, and may potentially contribute to the selection of suitable treatment strategies.