Subsequent to the widespread use of multidetector computed tomography and growing interest in lung cancer screening, small pulmonary nodules are more frequently detected. The differential diagnosis for a solitary pulmonary nodule is extremely broad and includes both benign and malignant causes. Recognition of early lung cancers is vital, since stage at diagnosis is crucial for prognosis. Estimation of the probability of malignancy is a challenging task, but crucial for follow-up and further work-up. In addition to the clinical setting and metabolic assessment, morphological assessment on thin-section computed tomography is essential. Size and growth are key factors in assessment of the malignant potential of a nodule. The likelihood of malignancy positively correlates with nodule diameter: as the diameter increases, so does the likelihood of malignancy. Although there is a considerable overlap in the features of benign and malignant nodules, the importance of morphology however should not be underestimated. Features that are associated with benignity include a perifissural location and triangular morphology, internal fat and benign calcifications. Malignancy is suspected in nodules presenting with spiculation, lobulation, pleural indentation, vascular convergence sign, associated cystic airspace, bubble-like lucencies, irregular air bronchogram, and subsolid morphology. Nodules often show different features and combination of findings is certainly more powerful.
• Size of a pulmonary nodule is important, but morphological assessment should not be underestimated.
• Lung nodules should be evaluated on thin section CT, in both lung and mediastinal window setting.
• Features associated with benignity include a triangular morphology, internal fat and calcifications.
• Spiculation, pleural retraction and notch sign are highly suggestive of a malignant nature.
• Complex features (e.g. bubble-like lucencies) are highly indicative of a malignant nature.
Subsequent to the widespread use of multidetector computed tomography (MDCT) and the growing interest in lung cancer screening, small pulmonary nodules are more frequently detected. Moreover, the global disease burden of lung cancer is on the rise . A solitary pulmonary nodule (SPN) is defined as a rounded opacity in the lung, well or poorly defined, measuring up to 3 cm in diameter . The differential diagnosis for SPNs is extremely broad, including both benign and malignant causes. Recognition of early lung cancers is vital since stage at diagnosis is crucial for prognosis. Estimation of the probability of malignancy is a diagnostic challenge, but is crucial for follow-up or further work-up. First step in this assessment is an evaluation of the clinical parameters such as signs and symptoms, patient age, smoking history, exposure, family history, associated lung diseases, and previous clinical history . Second step is the imaging evaluation. Size, growth, and doubling time are key factors in assessing the malignant potential of a nodule. The likelihood of malignancy positively correlates with nodule diameter: as the diameter increases, so does the likelihood of malignancy. Malignancy, however, is not excluded in small nodules. Lack of growth does not always indicate benignity since adenocarcinomas (in particular those presenting as subsolid nodule) can be slow-growing tumours. Moreover some benign lesions, e.g. intrapulmonary lymph nodes, may show growth and have a volume doubling time in the range of malignant nodules . Although imaging features of benign and malignant nodules show overlap, careful evaluation of morphologic features is an essential element of pulmonary nodule assessment. Nodule morphology should be evaluated on contiguous thin sections in axial, sagittal, and coronal planes. Investigation of nodule metabolism with 18F–fluorodeoxyglucose (FDG) positron emission tomography (PET) can have an additional value, but one needs to keep in mind that small nodules (< 8 mm), adenocarcinoma precursors and invasive adenocarcinomas with lepidic growth, as well as carcinoids can show low or no uptake . In these lesions morphological assessment is crucial in order not to delay diagnosis. A recent study by Chung et al.  on a large set of subsolid nodules from lung cancer screening trials, showed that careful assessment of morphology in subsolid nodules could tremendously increase identification of malignant lesions. This result emphasises the importance of morphology as additional parameter to size and growth in regard to assessing likelihood of malignancy.
Several quantitative prediction models have been developed to assist in assessing the likelihood of malignancy. Different models exist for screen-detected nodules and nodules detected in non-screening populations, including models from Gurney [3, 7], the Mayo Clinic , Herder , Veterans Association , Peking University People’s Hospital (PKUPH) , Brock University , and Bayesian Malignancy Calculator by Soardi . Whereas in more recent nodule calculators new features are taken into account (e.g. uptake on PET, contrast enhancement, volume doubling time), the number of morphologic features remains limited. Moreover variability among the features exists between different models. Likelihood of malignancy and odds ratios from these nodule calculators are summarised in Table 1.
This pictorial review focuses on the morphologic evaluation of the solitary pulmonary nodule, with a 5-step approach and evaluation of 15 features (Table 2). Although these morphologic features are discussed one at a time, in practice a single nodule can show a variety of different features and combination of features is often even more powerful.
A solitary pulmonary nodule (SPN) is defined as a rounded opacity, well or poorly defined, measuring up to 3 cm in diameter. The first step in assessment is defining nodule attenuation: solid or subsolid. Solid means that the density of the nodule obscures the underlying parenchyma (Fig. 1). Subsolid nodules contain a proportion of ground glass and are divided into pure ground glass nodules (Fig. 2a) and part-solid nodules (Fig. 2b). The density of ground glass is higher than that of normal lung parenchyma, but the normal lung architecture is preserved with normal bronchial and vascular margins . The ground-glass component surrounding solid nodules is also referred to as “halo-sign” . In a patient with neutropenia, finding such a nodule is highly suggestive of aspergillus infection (Fig. 3). A halo sign can also be seen in other benign conditions such as eosinophilic pneumonia, organising pneumonia, tuberculosis, cytomegalovirus, herpes simplex virus. In malignant nodules the halo sign is caused by local tumour spread or so-called lepidic growth pattern in which tumour cells proliferate along the surface of intact alveolar walls without stromal or vascular invasion . In contrast to common infectious causes, these nodules typically persist during follow-up. According to the new World Health Organisation classification, these part-solid nodules correspond to minimally invasive adenocarcinoma (MIA) and lepidic predominant adenocarcinoma (LPA) . Recognition of a subsolid morphology is crucial, since part-solid nodules have a significantly higher risk of malignancy compared to solid nodules [16, 17]. Change in morphology of these nodules, rather than size, suggests increase in invasiveness . The reverse halo sign (ground glass surrounded by a ring of consolidation) can be found in cryptogenic organising pneumonia or in lung cancer nodules after radiofrequency ablation .
The typical shape of a SPN is round or oval. A solid nodule that is completely round has a lower likelihood of malignancy compared with solid nodules with a more complex shape. In contrast, a subsolid nodule with a round shape is more likely to be malignant . Nowadays there is increased awareness for perifissural nodules (PFNs), which most commonly correspond to intrapulmonary lymph nodes. These intrapulmonary lymph nodes are fissure attached solid nodules, generally with a smooth margin, triangular or polygonal shape, oval or lentiform morphology. They usually lie within 15 mm of a pleural surface (Fig. 4) . Atypical PFNs are nodules with the same typical triangular shape where the fissure is not clearly visible or lesions with a convex morphology on one side and rounded on the other. Intrapulmonary lymph nodes often have one or more septal lines connecting them to the pleura. In particular, these nodules warrant evaluation on thin section CT-images with reconstruction in different planes to assess the relationship with the fissure and to demonstrate the more flat shape. PFNs with spiculated morphology or crossing a fissure should not be classified as benign and warrant further work-up [4, 22]. Whereas growth is an indicator of malignancy, it is known that intrapulmonary lymph nodes can have the same volume doubling times as malignant nodules (Fig. 5) . Intrapulmonary lymph nodes are common in daily practice. Data from lung cancer screening studies show that up to 28% of detected nodules correspond to PFNs, with no malignancies found in typical and atypical PFNs [4, 24]. Recognising intrapulmonary lymph nodes is crucial to prevent unnecessary controls or aggressive interventions.
A smooth margin is generally associated with benignity. But although it is more common in benign solitary pulmonary nodules, it does not exclude malignancy (Fig. 6). About 21% up to one third of malignant SPNs have smooth margins [5, 25].
Lobulation in a nodule is attributed to different or uneven growth rates, a finding that is highly associated with malignancy (Fig. 7) . In part-solid nodules a lobulated border suggests invasiveness [26, 27]. The finding is not uncommon in carcinoids . Benign lobulation is the result of hyperplasia of adjacent connective tissue and cicatricial contraction. The margin should be carefully evaluated on thin slice CT-images to differentiate it with satellite micronodules. In benign nodules lobulation is often seen in hamartomas (Fig. 8) . A particular form of lobulation is the “notch sign”. A notch is defined as an abrupt bulging of the lesion contour. This finding is relatively frequent in malignant nodules (Figs. 9 and 10), but can also be seen in benign conditions such as granulomatous diseases [30, 31].
Spiculation (also called sunburst or corona radiata sign) is caused by interlobular septal thickening, fibrosis caused by obstruction of pulmonary vessels or lymphatic channels filled with tumour cells . It is highly predictive of malignancy with a positive predictive value up to 90% . A nodule with a spicular margin (Figs. 11 and 12) is much more likely to be malignant than one with a smooth, well-defined edge [3, 32]. Data from the Dutch-Belgian randomised lung cancer screening trial (NELSON) show that spiculation (as well as lobulation) has an increased likelihood for lung cancer when compared to smooth, round, or polygonal shape. Benign conditions that can manifest as spiculated nodule are infection, tuberculomas, inflammatory pseudotumours, focal atelectasis, and fibrosis (Fig. 13). In subsolid nodules, spiculation is a predictive feature for invasiveness .
Appraisal of the internal characteristics of SPNs requires evaluation of the nodule in soft tissue and bone window. Intranodular fat typically has a CT-attenuation of −40 to −120 Hounsfield Units. The presence of fat is a reliable indicator of hamartoma (Fig. 14) although only 50% of hamartomas contain significant fat deposits . When other morphologic characteristics suggest a hamartoma, but no fat can be measured on CT, magnetic resonance imaging with chemical-shift sequences can be considered . Differential diagnosis of a fat containing pulmonary nodule includes metastasis from liposarcoma or renal cell cancer and lipoid pneumonia (Fig. 15).
Calcification in a nodule is generally associated with benign conditions. Whereas calcifications are not uncommon in lung cancer (occurring up to 13%), they are uncommon (2%) in lung cancer presenting as SPN . Calcification morphology is crucial for assessing the likelihood of benignity/malignancy. Benign calcifications are central, diffuse solid, or laminated and associated with prior infections such as histoplasmosis and tuberculosis. “Popcorn-like” calcifications are characteristic of chondroid calcifications in hamartomas (Fig. 16). Dense, uniform calcifications are frequently encountered and strongly related with benignity . In malignant nodules, dystrophic calcifications (Fig. 17) are more diffuse, amorphous or punctate, few in number and more eccentric in location [3, 36]. Punctate calcifications may also occur in lung cancer, due to engulfment of a pre-existing calcified granulomatous lesion, as well as in metastases . Special attention should be payed to scar-like lesions, often found in the lung apices, since these lesions can harbour lung scar cancers . Calcification in apical lesions is generally regarded as benign, often sequelae of tuberculosis. Regular follow-up is warranted especially when lesions are new, asymmetric and growing . Calcification in carcinoids can occur in up to one-third of tumours and is more common in central carcinoids [28, 39].
A cavity is defined as a gas-filled space, seen as lucency or low-attenuation area within pulmonary consolidation, mass or nodule . Cavitation can occur in both benign and malignant nodules. In benign nodules, cavitation is mainly associated with abscesses (bacterial) pulmonary tuberculosis, histoplasmosis, aspergilloma (Fig. 18), and other fungal infections, Wegener granulomatosis, Churg-Strauss syndrome, rheumatoid arthritis. [40,41,42]. Even in infectious causes, there are often no clinical symptoms of infection, raising difficulties for diagnosis. Cavitation in malignant SPNs is caused by necrosis of the central portion and is mainly seen in squamous cell carcinoma (Fig. 19) and metastasis. Wall thickness, irregularity, and cavity morphology have been regarded as partially useful for differentiating benignity from malignancy, with great overlap of features [41, 43]. A thicker irregular wall and irregular inner contour are both observed in malignant nodules and in benign diseases. Associated ground glass, consolidation, bronchial wall thickening, and the presence of satellite nodules are indicative of a benign nature of the cavitary nodule. Since infectious (bacterial) or inflammatory cavitation often present with rapid changes, short-term follow-up with chest radiographs can be the key to diagnosis. Rapid progression in these cases excludes a malignant cause. Correlation with clinical setting and often histology is mandatory in cavitated nodules since imaging can barely differentiate between benign and malignant.
Pleural retraction represents pulling of the visceral pleura towards the pulmonary nodule. It is far more common in malignant (Fig. 20) than in benign SPNs [30, 32, 44]. The finding is rare in metastases or carcinoid tumours. On histopathology pleural retraction represents fibrotic bands . In peripheral nodules in contact with the pleura, pleural retraction is often better visualised in mediastinal window (Fig. 21). Pleural retraction in a pure ground glass nodule is a predictive factor for invasiveness. These lesions are more likely to present invasive adenocarcinoma with lepidic growth and are less likely to be minimally invasive adenocarcinoma or adenocarcinoma in situ [27, 45, 46]. Pleural tags are defined as linear strands that extend from the nodule surface to the pleural surface. They correlate with thickening of the interlobular septa of the lung and can be caused by oedema, tumour extension, inflammation, or fibrosis. Pleural tags are common in malignant lesions [30, 47]. In a nodule not abutting the pleura, a pleural tag with soft-tissue component at the pleural end (to evaluate in mediastinal window) suggests visceral pleural invasion  (Fig. 22).
Air bronchogram is defined as a pattern of air-filled bronchi on a background of airless lung . This used to be associated with infectious causes of consolidation and, therefore, “benignity”. However in the setting of a SPN, an air bronchogram is actually more frequent in malignant than in benign nodules [48, 49]. Qiang et al.  studied the tumour-bronchus relationship and described five types. In “Type 1” the bronchial lumen is patent up to the tumour. In “Type 2” the bronchus is contained in the tumour (Fig. 23). These types are more common in malignant nodules. A compressed and narrowed bronchus is defined as “Type 3”, and can occur in both benign and malignant nodules. Narrowing of the proximal bronchial tree is described as “type 4” and is associated with malignancy. “Type 5” is a bronchus compressed and flattened by the nodule with intact smooth wall. This type is mainly seen in benign nodules. Keeping in mind how a tumour with lepidic growth expands, it is not surprising that the air bronchogram in these tumours is smooth . In contradistinction, a desmoplastic response may cause irregularities of the bronchogram (Fig. 24) . When retraction of tumoural fibrosis occur, the air bronchogram can even become somewhat dilated. Although this sign can occur in all lung cancer cell types, it is more common in adenocarcinoma [48, 50, 52]. Studies suggest the association of this sign with an activated Epidermal Growth Factor Receptor (EGFR) mutation [53,54,55].
Bubble-like lucencies or “pseudocavitation” represents a sign different from the air bronchogram sign, which is branch-like. Bubble-like lucencies are areas of low attenuation due to small patent air containing bronchi in the nodule. This pattern is characteristic of replacement growth tumour on histopathology . Other authors have also shown a relationship with the former bronchioloalveolar subtype of adenocarcinoma. The presence of these bubble-like lucencies is highly suggestive of malignancy (Figs. 25 and 26). When seen in subsolid nodules (in particular part-solid nodules), the finding is slightly more common in invasive adenocarcinomas than in preinvasive lesions . It is uncommon in non-neoplastic nodules [30, 57].
A pulmonary nodule abutting the wall of a “cystic airspace” is rare, but more frequently encountered and recognised since lung cancer screening trials have been initiated. Data from the International Early Lung Cancer Action Program (I-ELCAP) show that 2% (13/595) of cancers at baseline and 12% (13/111) at annual screening showed this specific morphology . Scholten et al. showed that 22.7% of the missed cancers in the NELSON lung cancer screening trial presented as a bulla with wall thickening . This type of lesion is highly suspicious of malignancy. Adenocarcinoma is the most commonly encountered associated cancer, nevertheless squamous and small cell carcinomas can also be found. The mechanism of this cystic airspace formation is not yet fully unravelled. Current hypotheses on aetiologies as cause of the cystic airspace include a check-valve mechanism involving the small airways leading to outflow obstruction, lepidic growth of adenocarcinoma superimposed on destroyed alveolar walls, cystification of tumour and growth of adenocarcinoma along the wall of a preexisting bulla [58, 60, 61]. Association of a cystic airspace (Fig. 27) with nodule should alert the radiologist to the possibility of this entity in order not to delay diagnosis and treatment.
The vascular convergence sign (Fig. 28) is described as vessels converging to a nodule without adjoining or contacting the edge of the nodule and is mainly seen in peripheral subsolid lung cancers. The rationale behind this sign is that angiogenesis is essential for tumour growth and metastasis. Hu et al. reported a malignancy rate of 85.2% in subsolid nodules expressing this sign. In their series it was also found in 40.0% of benign nodules .
Assessing the likelihood of malignancy in pulmonary nodules remains a challenging task. Morphological assessment is only one part of the diagnostic puzzle, but its role should not be underestimated. A smooth border, triangular or polygonal shape with perifissural location, fat and popcorn calcifications indicate a benign nature. Features that suggest a malignant nature include a persistent subsolid morphology, spiculation, lobulation, and pleural retraction. More complex findings such as bronchial abnormalities, bubble-like lucencies, an associated cystic airspace and vascular convergence sign are also indicative of a high likelihood of malignancy. In subsolid nodules spiculation, lobulation, and pleural retraction are indicative for an invasive adenocarcinoma rather than a preinvasive lesion.
Cheng T-YD, Cramb SM, Baade PD et al (2016) The international epidemiology of lung cancer: latest trends, disparities, and tumor characteristics. J Thorac Oncol 11:1653–1671
Hansell DM, Bankier AA, MacMahon H et al (2008) Fleischner society: glossary of terms for thoracic imaging. Radiology 246:697–722
Gurney JW (1993) Determining the likelihood of malignancy in solitary pulmonary nodules with Bayesian analysis. Part I. Theory. Radiology 186:405–413
de Hoop B, van Ginneken B, Gietema H, Prokop M (2012) Pulmonary perifissural nodules on CT scans: rapid growth is not a predictor of malignancy. Radiology 265:611–616
Erasmus JJ, Connolly JE, McAdams HP, Roggli VL (2000) Solitary pulmonary nodules: part I. Morphologic evaluation for differentiation of benign and malignant lesions. Radiographics 20:43–58
Chung K, Jacobs C, Scholten ET et al (2017) Lung-RADS category 4X: does it improve prediction of malignancy in subsolid nodules? Radiology 284:264–271
Gurney JW, Lyddon DM, McKay JA (1993) Determining the likelihood of malignancy in solitary pulmonary nodules with Bayesian analysis. Part II. Application. Radiology 186:415–422
Swensen SJ (1997) The probability of malignancy in solitary pulmonary nodules. Arch Intern Med 157:849
Herder GJ, van Tinteren H, Golding RP et al (2005) Clinical prediction model to characterize pulmonary nodules: validation and added value of 18F-fluorodeoxyglucose positron emission tomography. Chest 128:2490–2496
Gould MK, Ananth L, Barnett PG, Veterans Affairs SNAP Cooperative Study Group (2007) A clinical model to estimate the pretest probability of lung cancer in patients with solitary pulmonary nodules. Chest 131:383–388
Li Y, Wang J (2012) A mathematical model for predicting malignancy of solitary pulmonary nodules. World J Surg 36:830–835
McWilliams A, Tammemägi MC, Mayo JR et al (2013) Probability of cancer in pulmonary nodules detected on first screening CT. N Engl J Med 369:910–919
Soardi GA, Perandini S, Motton M, Montemezzi S (2014) Assessing probability of malignancy in solid solitary pulmonary nodules with a new Bayesian calculator: improving diagnostic accuracy by means of expanded and updated features. Eur Radiol 25:155–162
Pinto PS (2004) The CT halo sign. Radiology 230:109–110
Travis WD, Brambilla E, Nicholson AG et al (2015) The 2015 World Health Organization classification of lung tumors: impact of genetic, clinical and radiologic advances since the 2004 classification. J Thorac Oncol 10:1243–1260
Henschke CI, Yankelevitz DF, Mirtcheva R et al (2002) CT screening for lung cancer: frequency and significance of part-solid and nonsolid nodules. Am J Roentgenol 178:1053–1057
Yip R, Yankelevitz DF, Hu M, et al (2016) Lung cancer deaths in the national lung screening trial attributed to nonsolid nodules. Radiology 152333. https://doi.org/10.1148/radiol.2016152333
MacMahon H, Naidich DP, Goo JM et al (2017) Guidelines for management of incidental pulmonary nodules detected on CT images: from the Fleischner society 2017. Radiology 284:228–243
Marchiori E, Zanetti G, Meirelles GSP et al (2011) The reversed halo sign on high-resolution CT in infectious and noninfectious pulmonary diseases. AJR Am J Roentgenol 197:W69–W75
Li F, Sone S, Abe H et al (2004) Malignant versus benign nodules at CT screening for lung cancer: comparison of thin-section CT findings. Radiology 233:793–798
Edey AJ, Hansell DM (2009) Incidentally detected small pulmonary nodules on CT. Clin Radiol 64:872–884
Takashima S, Sone S, Li F et al (2003) Small solitary pulmonary nodules (< or =1 cm) detected at population-based CT screening for lung cancer: reliable high-resolution CT features of benign lesions. Am J Roentgenol 180:955–964
Revel MP (2013) Avoiding overdiagnosis in lung cancer screening: the volume doubling time strategy. Eur Respir J 42:1459–1463
Ahn MI, Gleeson TG, Chan IH et al (2010) Perifissural nodules seen at CT screening for lung cancer. Radiology 254:949–956
Winer-Muram HT (2006) The solitary pulmonary nodule. Radiology 239:34–49
Lee HJ, Goo JM, Lee CH et al (2009) Predictive CT findings of malignancy in ground-glass nodules on thin-section chest CT: the effects on radiologist performance. Eur Radiol 19:552–560
Lee SM, Park CM, Goo JM et al (2013) Invasive pulmonary adenocarcinomas versus preinvasive lesions appearing as ground-glass nodules: differentiation by using CT features. Radiology 268:265–273
Benson REC, Rosado-de-Christenson ML, Martínez-Jiménez S et al (2013) Spectrum of pulmonary neuroendocrine proliferations and neoplasms. Radiographics 33:1631–1649
Siegelman SS, Khouri NF, Scott WW et al (1986) Pulmonary hamartoma: CT findings. Radiology 160:313–317
Zwirewich CV, Vedal S, Miller RR, Müller NL (1991) Solitary pulmonary nodule: high-resolution CT and radiologic-pathologic correlation. Radiology 179:469–476
Kuriyama K, Tateishi R, Doi O et al (1987) CT-pathologic correlation in small peripheral lung cancers. Am J Roentgenol 149:1139–1143
Seemann MD, Staebler A, Beinert T et al (1999) Usefulness of morphological characteristics for the differentiation of benign from malignant solitary pulmonary lesions using HRCT. Eur Radiol 9:409–417
Hochhegger B, Marchiori E, Reis dos DQ et al (2012) Chemical-shift MRI of pulmonary hamartomas: initial experience using a modified technique to assess nodule fat. AJR Am J Roentgenol 199:W331–W334
Grewal RG, Austin JH (1994) CT demonstration of calcification in carcinoma of the lung. J Comput Assist Tomogr 18:867–871
Diederich S, Wormanns D, Semik M et al (2002) Screening for early lung cancer with low-dose spiral CT: prevalence in 817 asymptomatic Smokers1. Radiology 222:773–781
Mahoney MC, Shipley RT, Corcoran HL, Dickson BA (1990) CT demonstration of calcification in carcinoma of the lung. Am J Roentgenol 154:255–258
Mascalchi M, Picozzi G, Falchini M et al (2014) Initial LDCT appearance of incident lung cancers in the ITALUNG trial. Eur J Radiol 83:2080–2086
Gao F, Ge X, Li M et al (2015) CT features of lung scar cancer. J Thorac Dis 7:273–280
Brown K, Mund DF, Aberle DR et al (1994) Intrathoracic calcifications: radiographic features and differential diagnoses. Radiographics 14:1247–1261
Truong MT, Ko JP, Rossi SE et al (2014) Update in the evaluation of the solitary pulmonary nodule. Radiographics 34:1658–1679
Honda O, Tsubamoto M, Inoue A et al (2007) Pulmonary cavitary nodules on computed tomography: differentiation of malignancy and benignancy. J Comput Assist Tomogr 31:943–949
Gadkowski LB, Stout JE (2008) Cavitary pulmonary disease. Clin Microbiol Rev 21:305–333 Table of contents
Li B-G, Ma D-Q, Xian Z-Y et al (2012) The value of multislice spiral CT features of cavitary walls in differentiating between peripheral lung cancer cavities and single pulmonary tuberculous thick-walled cavities. BJR 85:147–152
Harders SW, Madsen HH, Rasmussen TR et al (2011) High resolution spiral CT for determining the malignant potential of solitary pulmonary nodules: refining and testing the test. Acta Radiol 52:401–409
Moon Y, Sung SW, Lee KY et al (2016) Pure ground-glass opacity on chest computed tomography: predictive factors for invasive adenocarcinoma. J Thorac Dis 8:1561–1570
Cohen JG, Reymond E, Lederlin M et al (2015) Differentiating pre- and minimally invasive from invasive adenocarcinoma using CT-features in persistent pulmonary part-solid nodules in Caucasian patients. Eur J Radiol 84:738–744
Hsu J-S, Han I-T, Tsai T-H et al (2016) Pleural tags on CT scans to predict visceral pleural invasion of non–small cell lung cancer that does not about the pleura. Radiology 279:590–596
Kui M, Templeton PA, White CS et al (1996) Evaluation of the air bronchogram sign on CT in solitary pulmonary lesions. J Comput Assist Tomogr 20:983–986
Takashima S, Maruyama Y, Hasegawa M et al (2003) CT findings and progression of small peripheral lung neoplasms having a replacement growth pattern. Am J Roentgenol 180:817–826
Qiang JW, Zhou KR, Lu G et al (2004) The relationship between solitary pulmonary nodules and bronchi: multi-slice CT–pathological correlation. Clin Radiol 59:1121–1127
Cui Y, Ma D-Q, Liu W-H (2009) Value of multiplanar reconstruction in MSCT in demonstrating the relationship between solitary pulmonary nodule and bronchus. J Clin Imaging 33:15–21
Yang ZG, Sone S, Takashima S et al (2001) High-resolution CT analysis of small peripheral lung adenocarcinomas revealed on screening helical CT. Am J Roentgenol 176:1399–1407
Dai J, Shi J, Soodeen-Lalloo AK et al (2016) Air bronchogram: a potential indicator of epidermal growth factor receptor mutation in pulmonary subsolid nodules. Lung Cancer 98:22–28
Rizzo S, Petrella F, Buscarino V et al (2015) CT radiogenomic characterization of EGFR, K-RAS, and ALK mutations in non-small cell lung cancer. Eur Radiol 26:32–42
Liu Y, Kim J, Qu F et al (2016) CT features associated with epidermal growth factor receptor mutation status in patients with lung adenocarcinoma. Radiology 280:271–280
Nakazono T, Sakao Y, Yamaguchi K et al (2005) Subtypes of peripheral adenocarcinoma of the lung: differentiation by thin-section CT. Eur Radiol 15:1563–1568
Kim TJ, Goo JM, Lee KW et al (2009) Clinical, pathological and thin-section CT features of persistent multiple ground-glass opacity nodules: comparison with solitary ground-glass opacity nodule. Lung Cancer 64:171–178
Farooqi AO, Cham M, Zhang L et al (2012) Lung cancer associated with cystic airspaces. AJR Am J Roentgenol 199:781–786
Scholten ET, Horeweg N, de Koning HJ et al (2015) Computed tomographic characteristics of interval and post screen carcinomas in lung cancer screening. Eur Radiol 25:81–88
Fintelmann FJ, Brinkmann JK, Jeck WR et al (2017) Lung cancers associated with cystic airspaces: natural history, pathologic correlation, and mutational analysis. J Thorac Imaging 32:176–188
Mascalchi M, Attinà D, Bertelli E et al (2015) Lung cancer associated with cystic airspaces. J Comput Assist Tomogr 39:102–108
Hu H, Wang Q, Tang H et al (2016) Multi-slice computed tomography characteristics of solitary pulmonary ground-glass nodules: differences between malignant and benign. Thorac Cancer 7:80–87
Statement of authorship
This manuscript represents original work. Neither this manuscript nor one with substantially similar content has been published or is being considered for publication elsewhere. All authors contributed to this manuscript, read the manuscript and approved the final version of the submitted manuscript.
Conflict of interest
All the authors declare that they have no conflict of interest.
The material in the manuscript has been acquired according to modern ethical standards.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
About this article
Cite this article
Snoeckx, A., Reyntiens, P., Desbuquoit, D. et al. Evaluation of the solitary pulmonary nodule: size matters, but do not ignore the power of morphology. Insights Imaging 9, 73–86 (2018). https://doi.org/10.1007/s13244-017-0581-2