AI Article Synopsis
- - The study aimed to identify imaging features that can distinguish focal interstitial fibrosis (FIF) from invasive adenocarcinoma (ADC) in patients with persistent part-solid nodules (PSNs), which are often misdiagnosed and treated surgically.
- - Researchers analyzed CT scans from 44 patients with confirmed FIF and 88 patients with ADC, using morphologic characteristics and various statistical analyses to find key predictive imaging features.
- - Significant findings included that preserved peritumoral vascular margin, preserved secondary pulmonary lobule margin, and a specific coronal to axial ratio (less than 1.005) can help differentiate FIF from ADC, with an impressive predictive accuracy represented by an AUC of 0.881. *
Article Abstract
Purpose: Focal interstitial fibrosis (FIF) manifesting as a persistent part-solid nodule (PSN) has been mistakenly treated surgically due to similar imaging features to invasive adenocarcinoma (ADC). The purpose of this study was to observe predictive imaging features correlated with FIF through CT morphologic analysis.
Materials And Methods: From January 2009 to December 2020, 44 patients with surgically proven FIF in a single institution were enrolled and compared with 88 ADC patients through propensity score matching. Patient characteristics and CT morphologic analysis of persistent PSNs were used to identify predictive imaging features of FIF. Receiver operating characteristic (ROC) curve analysis was used to quantify the performance of imaging features.
Results: A total of 132 patients with 132 PSNs (44 FIF, 88 ADC; mean age, 67.7±7.58; 75 females) were involved in our analysis. Multivariable analysis demonstrated that preserved peritumoral vascular margin (preserved vascular margin), preserved secondary pulmonary lobule margin (preserved lobular margin), and lower coronal to axial ratio (C/A ratio; cutoff: 1.005) were significant independent predictors of FIF ( P< 0.05). ROC curve analysis to evaluate the predictive value of the logistic model based on the imaging features of FIF, and the AUC value was 0.881.
Conclusion: CT imaging features of preserved vascular margin, preserved lobular margin, and lower C/A ratio (cutoff, <1.005) might be helpful imaging features in discriminating FIF over ADC among persistent PSN in clinical practice.
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| http://dx.doi.org/10.1097/RTI.0000000000000786 | DOI Listing |
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