Radiomics signature: a biomarker for the preoperative discrimination of lung invasive adenocarcinoma manifesting as a ground-glass nodule

Fan, Li; Fang, Mengjie; Li, Zhaobin; Tu, Wenting; Wang, ShengPing; Chen, WuFei; Tian, Jie; Dong, Di; Liu, Shiyuan

doi:10.1007/s00330-018-5530-z

Cited by 133 publications

(122 citation statements)

References 30 publications

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“…The 5-year disease-free survival for preinvasive adenocarcinoma (AIS and AAH) and MIA was approximately 100%, which will likely develop in the immediate future. IA shows a 5-year disease-free survival rate ranging from 40% to 85% (13,14). Hence, we believe it is meaningful to differentiate pre/MIA from IA since pre/MIA and IA have a clearly different prognosis, and such a difference would affect the follow-up protocols and treatment strategies.…”

Section: Introductionmentioning

confidence: 98%

Value of TSCT Features for Differentiating Preinvasive and Minimally Invasive Adenocarcinoma From Invasive Adenocarcinoma Presenting as Subsolid Nodules Smaller Than 3 cm

et al. 2020

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Background: To distinguish preinvasive (adenocarcinoma in situ/atypical adenomatous hyperplasia) and minimally invasive adenocarcinoma (MIA) from invasive adenocarcinoma (IA) appearing as solitary subsolid nodules (SSNs) less than 3 cm based on thin-section computed tomography (TSCT) features to guide therapeutic approaches.Methods: A total of 154 lesions that were histopathologically confirmed to have pre/minimally invasive adenocarcinoma (hereafter pre/ MIA) and IA presenting as part-solid nodules (PSNs) or pure ground-glass nodules (pGGNs) were retrospectively reviewed. The TSCT features, including diameter, area, CT value, shape, air bronchogram, margins, and location, were compared and assessed. Receiver operating characteristic analyses were conducted to determine the cut-off values for the qualitative variables and their diagnostic performances.Results: Of 154 nodules, 89 IA, 53 MIA, eight adenocarcinoma in situ, and four atypical adenomatous hyperplasia lesions were found. Univariate and multivariate logistic regression of the pre/MIA and IA lesions were compared and analyzed among PSNs and pGGNs. Among pGGNs, a significant difference was found in the area (p = 0.004, odds ratio [OR] = 0.124, 95% confidence interval [CI] = 0.300À0.515) between the pre/MIA and IA groups. In PSNs, significant differences were found in the diameter (p = 0.001, OR = 0.171, 95% CI = 0.063À0.467) and CT value (p = 0.001, OR = 0.996, 95% CI = 0.993À0.998) between the pre/MIA and IA groups. According to the corresponding receiver operating characteristic curves, the optimal cut-off tumor area in pGGNs to differentiate pre/MIA from IA was 0.595 cm 2 . A higher CT value of the lesion ( ¡298.500 HU) and a larger diameter (1.450 cm) in PSNs were significantly associated with IA.Conclusion: Imaging features from TSCT contribute to distinguishing pre/MIA from IA in solitary subsolid nodules and may contribute to guide the clinical management of these lesions.Abbreviations: SSN subsolid nodule, PSN part-solid nodule, pGGN pure ground-glass nodule, AIS adenocarcinoma in situ, MIA minimal invasive adenocarcinoma, IA invasive adenocarcinoma, AAH atypical adenomatous hyperplasia, TSCT thin-section computed tomography, HRCT high-resolution computed tomography, CT computed tomography, ROC receiver operating characteristic, HU Hounsfield unit, ROI region of interest, OR odds ratio, 95% CI 95% confidence interval

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Section: Introductionmentioning

confidence: 98%

Value of TSCT Features for Differentiating Preinvasive and Minimally Invasive Adenocarcinoma From Invasive Adenocarcinoma Presenting as Subsolid Nodules Smaller Than 3 cm

et al. 2020

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“…In some studies, CT-based radiomics method was used to predict the pathological classification of lung adenocarcinoma manifested as GGNs [27,28], showing the usefulness of radiomics. However, those studies placed more emphasis on preoperative evaluation, and there is a lack of relevant studies focused on the comparison between radiomics method and FS to determine whether radiomics can benefit intraoperative classification.…”

Section: Introductionmentioning

confidence: 99%

Joint use of the radiomics method and frozen sections should be considered in the prediction of the final classification of peripheral lung adenocarcinoma manifesting as ground-glass nodules

Wang

Tang

Chen³

et al. 2020

Lung Cancer

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“…Recently, diagnosis of cancer by CT morphology was greatly developed. Various radiomics nomogram made great progress in identifying malignancy from benign SPNs, determining the invasiveness of lung adenocarcinomas, and even distinguishing ground-glass nodules less than 10 mm [34,35]. These progresses provided critical guidelines for appropriate treatment which resulted in obviously improvement for the lung cancer prognosis [36].…”

Section: Discussionmentioning

confidence: 99%

The value of circulating tumor cells with positive centromere probe 8 in the diagnosis of small pulmonary nodules.

Liu

Chen

Wang³

et al. 2020

Preprint

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Background: Circulating cancer cells (CTCs) provide opportunities for early diagnosis and evaluation of cancer stage as a more acceptable non-invasive liquid biopsy. The advanced development and use of CTCs for diagnosis or prognosis just started in recent years.Methods: Fifty three patients, diagnosed as SPNs with a diameter less than 30 mm by CT examination, was enrolled for statistical analysis based on their CTCs level, CT examination features, serum tumor marker concentrations, and histopathological characteristics. Centromere probe 8 (CEP8) was utilized as a marker for CTCs determination. Results: The CTCs level was significantly different between malignant and benign SPNs, as well as between early (0/Ⅰa) and advanced (Ⅰb/Ⅱ/Ⅲ) stages of lung cancer. ROC analysis showed that the CTCs level had diagnostic effect on malignant SNPs. Combined use of CTCs and density feature of CT morphology further improve the overall diagnostic effect on the pTNM stage of these SPNs determined as lung cancer (≤Ia vs. >Ia stage) compared to use of these two markers solely, especially increased the diagnostic specificity. Moreover, in bigger, single, and solid SPNs based on CT morphology, the CTCs level significantly correlated with the malignant histopathology. Additionally, triple staining (CEP8, EpCAM and CKs) results using samples from 22 out of 53 patients showed that more CTCs was detected when CEP8 was used as a marker. Conclusions: The CTCs determined by CEP8 positive would be a potential adjuvant diagnostic marker for the malignance and stage of lung cancer for patients with SPNs.

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Radiomics signature: a biomarker for the preoperative discrimination of lung invasive adenocarcinoma manifesting as a ground-glass nodule

Abstract: • The radiomics signature was a non-invasive biomarker of lung invasive adenocarcinoma. • The radiomics signature outweighed CT morphological and quantitative indices. • A three-centre study showed that radiomics signature had good predictive performance.

Cited by 133 publications

References 30 publications

Value of TSCT Features for Differentiating Preinvasive and Minimally Invasive Adenocarcinoma From Invasive Adenocarcinoma Presenting as Subsolid Nodules Smaller Than 3 cm

Value of TSCT Features for Differentiating Preinvasive and Minimally Invasive Adenocarcinoma From Invasive Adenocarcinoma Presenting as Subsolid Nodules Smaller Than 3 cm

Joint use of the radiomics method and frozen sections should be considered in the prediction of the final classification of peripheral lung adenocarcinoma manifesting as ground-glass nodules

The value of circulating tumor cells with positive centromere probe 8 in the diagnosis of small pulmonary nodules.

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