Hilly or mountainous surface: a new CT feature to predict the behavior of pure ground glass nodules?

Borghesi, Andrea; Michelini, Silvia; Bertagna, Francesco; Scrimieri, Alessandra; Pezzotti, Stefania; Maroldi, Roberto

doi:10.1016/j.ejro.2018.09.004

Cited by 9 publications

(16 citation statements)

References 16 publications

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“…The subsolid nodular pattern may be a manifestation of malignant or benign diseases [10,11]. Primary lung malignancies presenting as subsolid nodules usually represent in situ, minimally invasive or invasive adenocarcinoma with predominant lepidic growth [12].…”

Section: Discussionmentioning

confidence: 99%

Two synchronous lung metastases from malignant melanoma: the same patient but different morphological patterns

Borghesi

Tironi

Michelini

et al. 2019

European Journal of Radiology Open

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Malignant melanoma is an aggressive cancer with a high metastatic potential. Among the multiple sites of metastatic disease, the lung is one of the most frequently involved sites. Typically, pulmonary metastases from malignant melanoma occur as solid nodules. Rarely, pulmonary involvement in metastatic melanoma occurs as subsolid nodules. The present article describes an unusual case of a patient with malignant melanoma that developed two synchronous pulmonary metastases with two different densities on CT images (one solid and the other subsolid) and different morphological patterns on histologic images. The radiologic-pathologic correlation of these two patterns of presentation was also reported.

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Section: Discussionmentioning

confidence: 99%

Two synchronous lung metastases from malignant melanoma: the same patient but different morphological patterns

Borghesi

Tironi

Michelini

et al. 2019

European Journal of Radiology Open

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“…In order to solve these two-open issues, the use of quantitative analysis has been proposed to improve the risk stratification of persistent SSNs and the definition of "tailored" management [50][51][52].…”

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

“…To confirm the leading role of heterogeneity in predicting NSN behavior, a promising computerized method of analysis capable of an early discrimination between growing and stable NSNs was tested in a small case series [51]. This method of analysis, performed using commercial software, provides information on the nodule heterogeneity in a very clear and straightforward manner, by creating a colored 3D surface model (named mesh plot) of the density/grayscale values within the NSN [51]. If an NSN has high heterogeneity (i.e., greater tendency to grow), the software will create a mesh plot with irregular surface morphology and several peaks, similar to a mountainous area; on the contrary, for an NSN with high homogeneity (i.e., lower trend to grow), the software will create a mesh plot with regular surface morphology and no peaks, similar to a hilly area [51].…”

Section: Discussionmentioning

confidence: 99%

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What’s New on Quantitative CT Analysis as a Tool to Predict Growth in Persistent Pulmonary Subsolid Nodules? A Literature Review

et al. 2020

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Pulmonary subsolid nodules (SSNs) are observed not infrequently on thin-section chest computed tomography (CT) images. SSNs persisting after a follow-up period of three to six months have a high likelihood of being pre-malignant or malignant lesions. Malignant SSNs usually represent the histologic spectrum of pulmonary adenocarcinomas, and pulmonary adenocarcinomas presenting as SSNs exhibit quite heterogeneous behavior. In fact, while most lesions show an indolent course and may grow very slowly or remain stable for many years, others may exhibit significant growth in a relatively short time. Therefore, it is not yet clear which persistent SSNs should be surgically removed and for how many years stable SSNs should be monitored. In order to solve these two open issues, the use of quantitative analysis has been proposed to define the “tailored” management of persistent SSNs. The main purpose of this review was to summarize recent results about quantitative CT analysis as a diagnostic tool for predicting the behavior of persistent SSNs. Thus, a literature search was conducted in PubMed/MEDLINE, Scopus, and Web of Science databases to find original articles published from January 2014 to October 2019. The results of the selected studies are presented and compared in a narrative way.

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“…Although computerized analyses and various quantitative features have been tested to predict the future behavior of SSNs [9,14,[17][18][19][20][21][22], to our knowledge, there have been no published studies investigating quantitative CT analyses to predict the behavior of PSNs with a solid component <6 mm.…”

Section: Introductionmentioning

confidence: 99%

Quantitative CT Analysis for Predicting the Behavior of Part-Solid Nodules with Solid Components Less than 6 mm: Size, Density and Shape Descriptors

et al. 2019

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Persistent part-solid nodules (PSNs) with a solid component <6 mm usually represent minimally invasive adenocarcinomas and are significantly less aggressive than PSNs with a solid component ≥6 mm. However, not all PSNs with a small solid component behave in the same way: some nodules exhibit an indolent course, whereas others exhibit more aggressive behavior. Thus, predicting the future behavior of this subtype of PSN remains a complex and fascinating diagnostic challenge. The main purpose of this study was to apply open-source software to investigate which quantitative computed tomography (CT) features may be useful for predicting the behavior of a select group of PSNs. We retrospectively selected 50 patients with a single PSN with a solid component <6 mm and diameter <15 mm. Computerized analysis was performed using ImageJ software for each PSN and various quantitative features were calculated from the baseline CT images. The area, perimeter, mean Feret diameter, linear mass density, circularity and solidity were significantly related to nodule growth (p ≤ 0.031). Therefore, quantitative CT analysis was helpful for predicting the future behavior of a select group of PSNs with a solid component <6 mm and diameter <15 mm.

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Hilly or mountainous surface: a new CT feature to predict the behavior of pure ground glass nodules?

Abstract: Graphical abstract

Cited by 9 publications

References 16 publications

Two synchronous lung metastases from malignant melanoma: the same patient but different morphological patterns

Two synchronous lung metastases from malignant melanoma: the same patient but different morphological patterns

What’s New on Quantitative CT Analysis as a Tool to Predict Growth in Persistent Pulmonary Subsolid Nodules? A Literature Review

Quantitative CT Analysis for Predicting the Behavior of Part-Solid Nodules with Solid Components Less than 6 mm: Size, Density and Shape Descriptors

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