Skip to main content
Egyptian Journal of Radiology and Nuclear Medicine
Download PDF

Centri-lobular pulmonary nodules on HRCT: incidence and approach for etiological diagnosis

Egyptian Journal of Radiology and Nuclear Medicine volume 53, Article number: 203 (2022) Cite this article

Abstract

Background

Centri-lobular nodules are the most common pattern of diffuse pulmonary nodules encountered on high-resolution computed tomography (HRCT). HRCT with post-processing techniques such as obtaining maximum intensity projection (MIP) is helpful in making centri-lobular nodules more conspicuous. The study aimed to highlight the role of HRCT with its reconstruction capabilities in the detection and characterization of centri-lobular pulmonary nodules, interpret the most frequent associated findings, and correlate with the clinical findings to reach the most appropriate diagnosis.

Results

The study included 58 patients; 41.4% males and 58.6% females. Their age ranged from 2 to 67 years with mean age of 25.69. The centri-lobular nodules numbers, distribution, shape, and associated HRCT chest findings were identified. The top three etiological diagnoses were infection/inflammation in 50.0% of cases followed by acute viral bronchiolitis in 27.6% and inhalation bronchiolitis in 19.0% of cases. Correlation of HRCT findings with the clinical diagnosis was carried out with consequent formulation of an algorithm for the diagnostic approach of various etiologies of centri-lobular pulmonary nodules.

Conclusions

HRCT is a useful tool in the detection and characterization of centri-lobular pulmonary nodules. It can be used to differentiate the different etiologies that share centri-lobular nodularity. Other associated features and multidisciplinary approach are essential for further characterization of the most relevant etiological diagnosis.

Background

Diffuse small nodules are one of the most common abnormalities detected on high-resolution computed tomography (HRCT), and an accurate classification of nodules is essential to provide an appropriate differential diagnosis. Centri-lobular nodules are the most common pattern [1].

HRCT with post-processing techniques such as obtaining maximum intensity projection (MIP) using the original thin-section dataset is helpful in making tree-in-bud and centri-lobular nodules more conspicuous [2].

Centri-lobular nodule is defined as a nodular opacity within the center of the secondary pulmonary lobule. The core of the secondary pulmonary lobule contains bronchioles, pulmonary arterioles, and lymphatics. Accordingly, centrilobular nodules are conditions which affect bronchiole, peri-bronchiole, arteriole, or peri-arterial regions. It should be differentiated from peri-lymphatic nodules which follow along the pulmonary lymphatics which can be detected at the periphery and center of the secondary pulmonary lobule [3].

Centri-lobular nodules may present with a ground glass appearance when there is involvement of peri-bronchiolar air spaces. “Tree in bud” pattern is a subcategory of centri-lobular nodules that have a linear branching pattern. The tree represents dilated bronchioles filled with mucus, pus, or fluid; the buds are due to clusters of filled alveoli that have poorly defined margins and are seen in centri-lobular location [4].

Centri-lobular nodules can be classified to focal, segmental or diffuse according to their extension, well-defined or ill-defined nodules according to their appearance, and according to their etiology into inhalation, infection, inflammation, tumor or vascular cause [3].

This study aimed to highlight the role of HRCT with its reconstruction capabilities in the detection and characterization of centri-lobular pulmonary nodules, interpret the most frequent associated findings, and correlate with the clinical findings to reach the most appropriate diagnosis. Consequently, an algorithm to reach a proper diagnosis would be drawn.

Methods

Local institutional review board approved this prospective study, and written informed consent was obtained from all patients.

Study population

A total of 58 patients, including 24 males and 34 females; with age ranging from 2 to 67 years, were enrolled in this study during the period from January 2020 to June 2021. They were referred from the Pulmonology department to the Thoracic Imaging Unit of our Department Of Diagnostic and interventional Radiology, to perform HRCT of the lungs. The patients fulfilled the following inclusion and exclusion criteria:

Inclusion criteria

All patients, male and female, with HRCT chest showing centri-lobular pulmonary nodules were included in the current study.

Exclusion criteria

HRCT scan with no evidence of centri-lobular pulmonary nodules or HRCT scans with marked respiratory motion artifacts impeding visualization of the centri-lobular nodules.

All included cases were subjected to

Full medical history, general and chest clinical examination.

HRCT chest was performed for all cases.

Further laboratory investigation with or without biopsy according to suspected clinical condition.

Image acquisition

HRCT was performed to all patients using Siemens SOMATOM Scope, Germany (CTAWP92544) 16 channel MDCT. No preparation needed. Non contrast helical-volumetric axial cuts performed in full inspiration in supine position with 1.5 mm slice thickness, 1.5 mm pitch, 0 gantry tilt, FOV depending on patient size around 320 mm from root of neck to the level of renal arteries, KV 120, mAs 25, Rotation time 0.5 s, total exposure time 8–10 s, HRCT window width (WW) was 1000 HU and window level (WL) was − 700 and mediastinal WW was 300 HU, WL was 30 HU.

Reconstructed two-dimensional axial, coronal and sagittal images, minimum intensity projection (MinIP) were done; mediastinal images were also taken.

Image analysis

  • The following parameters of the centri-lobular nodules were assessed:

    1. 1.

      Nodule distribution: diffuse, multiple, single or segmental distribution.

    2. 2.

      Nodule location: unilateral, bilateral, upper lobe, middle lobe/ lingula, or lower lobe.

    3. 3.

      Nodule margin: well or ill defined.

    4. 4.

      Nodule number: few countable or multiple

  • Associated findings were recorded as ground glass densities, peri-lymphatic nodules, cavitation, septal thickening, bronchiectasis, bronchial wall thickening, atelectasis, air trapping, reticulation, pleural effusion, and lymphadenopathy.

  • Etiological diagnosis was suggested and guided by the clinical condition and laboratory findings.

Statistical analysis

Data were collected, revised, coded and entered to the Statistical Package for Social Science (SPSS version 20). The qualitative data were presented as number and percentages, while quantitative data were presented as mean, standard deviations and ranges when their distribution was found parametric.

The confidence interval was set to 95% and the margin of error accepted was set to 5%. So, the p value was considered significant as the following: P < 0.05 = significant, and P < 0.001 = highly significant.

Results

Demographic features

This study involved 58 cases; out of which 24 (41.4%) were males and 34 (58.6%) were females. Their age ranged from 2 to 67 years with mean age of 25.69 ± 18.89 years.

Centri-lobular nodules number:

The centri-lobular pulmonary nodules were few (countable) in 19 (32.8%) case and multiple (non-countable) in 39 (67.2%) cases.

Centri-lobular nodules distribution:

The nodules were unilateral in nine (15.5%) cases and bilateral in 45 (77.6%) cases. They were diffuse throughout the lung in 10 (17.2%) cases, localized to a single segment in 11 (19%) cases and distributed in multiple segments in 37 (63.8%) cases. The lobar distribution of centri-lobular nodules is reported in Fig. 1.

Fig. 1
figure 1

Column graph showing the lobar distribution of centri-lobular nodules

Full size image

Shape of centri-lobular nodules:

Well-defined nodules were detected in 36 (62.1%) cases, while ill-defined nodules were seen in 22 (37.9%) cases.

Tree-in-bud pattern was demonstrated in 13 (22.4%) of cases.

Associated HRCT chest findings

There were many associated HRCT findings detected which helped in the radiological diagnosis of each case. The number and percentages of these findings are displayed in Table 1.

Table 1 Number and percentages of the associated HRCT chest findings
Full size table

Etiological diagnosis of centri-lobular nodules

The incidence of each etiological diagnosis guided by combined radiological, clinical, laboratory data and biopsy in selected cases is recorded in Fig. 2.

Fig. 2
figure 2

Column graph showing the etiological diagnosis of the studied cases

Full size image

Inhalation etiology

From the 12 cases with inhalation lung disease, six cases (54.5%) were diagnosed as hypersensitivity pneumonitis (HP) (Fig. 3); as they showed bilateral diffuse ill-defined ground glass centri-lobular nodules mainly involving the upper and middle lobes associated with ground glass opacities and air trapping. One case (9.09%) was diagnosed as respiratory bronchiolitis (RB) (Fig. 4), which showed bilateral multiple ill-defined centri-lobular nodules involving mainly the upper lobes. Three cases (27.3%) were diagnosed as respiratory bronchiolitis interstitial lung disease (RB-ILD) which showed diffuse bilateral ill-defined centri-lobular nodules associated with ground glass opacities and reticulations. And one case (9.09%) was diagnosed as bronchiolitis obliterans secondary to toxin inhalation which showed bilateral diffuse well-defined centri-lobular nodules with tree-in-bud pattern involving all lung lobes associated with bronchiectasis, oligemic lung and air trapping.

Fig. 3
figure 3

A 44-year-old female complaining of progressive dyspnea and dry cough with history of raising birds. HRCT of the chest in a, b axial lung window images showing bilateral diffuse ill-defined ground glass centri-lobular nodules. The diagnosis of subacute hypersensitivity pneumonitis was made

Full size image
Fig. 4
figure 4

A 43-year-old male, smoker over the last 20 years, HRCT lungs (a) axial, (b) coronal sections showed diffuse ill-defined faint ground glass centri-lobular nodules scattered all over the lung lobes bilaterally more prominent at upper lobes. Radiological and clinical diagnosis was made of inhalation lung disease as smoking related-respiratory bronchiolitis (RB)

Full size image

Correlating inhalation lung disease with other etiological diagnoses of centri-lobular nodules revealed statistically significant difference regarding diffuse distribution, upper lobes predominance, and both well- and ill-defined nodules, as illustrated in Table 2.

Table 2 The significance of inhalation, inflammatory, autoimmune and edema/hemorrhagic lung diseases regarding lesion distribution and shape
Full size table

Regarding associated HRCT lung findings, there was high statistical significant difference regarding ground glass opacities, and air trapping, as displayed in Table 3.

Table 3 The significance of inhalation, inflammatory, autoimmune and edema/hemorrhagic lung diseases regarding the associated CT chest findings
Full size table

inflammatory/infectious etiology

From the 31 cases with inflammation/infectious etiology, 16 (55.17%) cases were diagnosed as viral bronchiolitis, nine cases (31.03%) were diagnosed as active granulomatous infection (Fig. 5), and four cases (13.9%) were diagnosed as fungal bronchiolitis (Fig. 6). The number, distribution and shape of infection/inflammatory centri-lobular nodules are listed in Table 2.

Fig. 5
figure 5

A 39-year-old male complaining of fever, night sweats, productive cough with occasional blood streaking in the sputum and weight loss for about 6 months. HRCT of the chest in a, b axial lung window images showing bilateral multiple well-defined centri-lobular and tree-in-bud nodules with bronchiectatic changes and upper lobar cavitation. The diagnosis of active granulomatous infection (pulmonary tuberculosis) was made

Full size image
Fig. 6
figure 6

A 31-year-old female presented with the chief complaints of cough with occasional blood in the sputum, shortness of breath and lethargy for 6 months and exacerbated since last 2 weeks. HRCT lungs sequential axial cuts showed bilateral mainly central bronchiectasis, with mucus blugging, multilobar well-defined centri-lobular nodules and tree-in-bud appearance. The laboratory, clinical and radiological diagnosis of fungal lung infection as ABPA was made

Full size image

Correlating inflammatory and infectious lung diseases with other etiological diagnoses revealed high statistical significance regarding multi-segment distribution. Concerning the associated HRCT lung findings, there was high statistical significance regarding bronchial wall thickening and bronchiectasis as shown in Table 3.

Autoimmune etiology

From the four cases diagnosed with autoimmune disease; two cases (50%) had rheumatoid arthritis showing few single segment lower lobar ill-defined centri-lobular and peri-lymphatic nodules, while the other two cases (50%) had non-specific autoimmune disease; one of them showed bronchiolitis obliterans with imaging features of bilateral few multi-segment well-defined centri-lobular and peri-lymphatic nodules, bronchial wall thickening, bronchiectasis and air trapping, while the other case showed follicular bronchiolitis with imaging features of bilateral diffuse well-defined centri-lobular and tree-in-bud appearance with associated ground glass opacities, bronchial wall thickening, bronchiectasis and pleural effusion.

Correlation of centri-lobular nodules distribution, number, location and shape between autoimmune etiology and other etiological diagnosis revealed no statistical significance, Table 2. However, concerning the associated HRCT findings, there was statistically significant difference regarding peri-lymphatic nodule as presented in Table 3.

Other etiological diagnosis

The four cases diagnosed as sarcoidosis (Fig. 7) showed bilateral well-defined centri-lobular and peri-lymphatic nodules involving multiple lobes with nodular septal thickening and mediastinal lymphadenopathy.

Fig. 7
figure 7

A 33-year-old male complaining of persisted dry cough, wheezing and dyspnea. HRCT of the chest in a, b axial mediastinal window showing mediastinal and bilateral hilar lymphadenopathy, and c–e axial lung window images showing bilateral well-defined centri-lobular and peri-lymphatic nodules involving multiple lobes with nodular septal thickening and beaded fissures. The diagnosis of sarcoidosis was made

Full size image

The four cases diagnosed as aspiration pneumonitis (Fig. 8) showed well-defined multi-segments centri-lobular nodules with tree-in-bud pattern, and associated with ground glass opacity, bronchial wall thickening and bronchiectasis.

Fig. 8
figure 8

A 56-year-old male with neuromuscular disorder complaining of dyspnea, cough and fever. HRCT of the chest in axial lung window image showing bilateral lower lobar apical segments centri-lobular and tree-in-bud nodules. The diagnosis of aspiration pneumonitis was made

Full size image

The one case diagnosed as pulmonary edema showed bilateral multiple ill-defined centri-lobular nodules associated with ground glass opacities, smooth septal thickening, bronchial wall thickening and pleural effusion.

The one case diagnosed as alveolar hemochromatosis (as proved by biopsy) (Fig. 9) showed bilateral diffuse ill-defined centri-lobular and peri-lymphatic nodules.

Fig. 9
figure 9

A 25-year-old male complaining of hemoptysis. HRCT of the chest in a, b axial and c coronal lung window images showing bilateral diffuse ill-defined centri-lobular and peri-lymphatic nodules. Lung biopsy was taken and revealed alveolar hemochromatosis

Full size image

The one case diagnosed as Langerhans cell histocytosis showed bilateral multiple well-defined centri-lobular nodules involving all lung lobes with irregular cysts and cavitary lesions.

The approach used to reach the etiological diagnosis in the studied cases is illustrated in Table 4, and based on our results, the algorithm for the diagnostic approach of various etiologies of centri-lobular pulmonary nodules is shown in Fig. 10.

Table 4 Summary for the diagnostic approach for the various etiologies of centri-lobular pulmonary nodules
Full size table
Fig. 10
figure 10

HRCT simplified algorithmic approach for diagnosis of centri-lobular pulmonary nodules

Full size image

Discussion

Centri-lobular nodules are the most common abnormality encountered on HRCT, yet, they have a wide differential diagnosis [1].

This study recorded the predominant HRCT findings along with the centri-lobular pulmonary nodules of various conditions and compared their different etiologies.

In this study, we had four main etiological diagnosis for centri-lobular nodules that include infection/ inflammatory lung disease (as in viral, granulomatous, fungal diseases and aspiration pneumonitis), inhalation lung disease (as in hypersensitivity pneumonitis, RB, RB-ILD, and post-toxin-bronchiolitis obliterans), autoimmune diseases (as sarcoidosis, rheumatoid arthritis, and non-specific autoimmune diseases), and hemorrhage and lung edema.

Although clinical criteria and exposure to an allergic antigen are used for diagnosis of inhalation lung disease, imaging finding is crucial in supporting the diagnosis [5]. Shobeirian et al. [6] and Churg et al. [7] results were similar to this study, and ground glass opacity and reticulations were found to be the most common findings in HRCT followed by fibrosis and air trapping.

RB-ILD is a rare inflammatory lung disorder induced by heavy tobacco smoking [8]. Park et al. [9] and Sieminska and Kuziemski [10] results were consistent to this study, and bronchial wall thickening was found to be the major HRCT finding in patients with RB-ILD followed by ground glass opacities.

Bronchiolitis obliterans is associated with the inhalation of toxic gases including nitrogen dioxide, war gas, and sulfur mustard [11]. Bakhtavar et al. [12] and Travis et al. [13] studies stated that the most dominant HRCT finding in patients with bronchiolitis obliterans was concluded to be patchy air trapping mostly in the lower lobes and centri-lobular nodules, with multiple segments distribution associated with bronchial wall thickening, bronchiectasis. However, Raghu et al. [14] study showed that centri-lobular nodules if associated with ground glass opacities even with air trapping were considered inconsistent features in bronchiolitis obliterans. These results were consistent with this study.

The results of this study were in agreement with the previous studies of Shobeirian et al. [6], Iwasawa et al. [15], Razavi et al. [16] and Rossi et al. [17] concerning the distribution, location, shape, and pathological findings of inhalation lung disease centri-lobular nodules. Correlating with other etiologies, HRCT showed high statistical significance regarding diffuse distribution and upper lobes involvement, as well as associated ground glass opacities and air trapping.

Ryu et al. [18] illustrated that regarding infection and inflammatory lung diseases, centri-lobular nodules were the main CT features in most cases of bronchiolitis. In a case series report by Nabeya et al. [19], HRCT findings revealed bronchial wall thickening in 80% of cases and ground glass opacities in 40% of cases. Also, Weinman et al. [2] study found that bronchial wall thickening followed by ground glass opacities was the most common HRCT finding in viral bronchiolitis.

Multi-segment distribution was most commonly demonstrated in our study. Kim et al. [20] stated that the anatomical distribution of HRCT findings in bronchiolitis is most commonly in the lower lobes (69%), followed by diffuse distribution (57%), according to the type of the infecting virus.

Following the previous results, Zhu et al. [21] stated that fungal infection granuloma showed a nodular presentation in 75.0% of cases, followed by consolidation (62.5%), and ground glass appearance (62.5%). Centri-lobular nodules were concluded to characterize fungal lung infection in immunocompromised patients [22, 23].

Giacomelli et al. [24] concluded that the most common HRCT findings in patients with pulmonary tuberculosis were ground glass opacities with consolidation, followed by centrilobular nodules with tree-in-bud pattern and cavitation. Likewise, to our study, Im et al. [25] study showed that, in active tuberculosis, the most common CT finding (82–100% of cases) was centri-lobular nodules with segmental distribution, which represents bronchogenic dissemination of the disease.

Similar to this study, Duan et al. [26] stated that Sarcoidosis imaging findings on HRCT included ground glass opacities, centri-lobular nodules, consolidation, and intrathoracic lymphadenopathy. Zhu et al. [21] as well reported that HRCT of pulmonary sarcoidosis typically shows nodules in 96.1% of cases in multiple or miliary distribution with variable morphological presentation and with bilaterality in 92.6% of cases mainly in the left lower lobe (85.2%) and right lower lobe (81.5%).

Corresponding to this study, Yilmazer et al. [27] results showed that while HRCT can be normal in 54% of rheumatoid arthritis patients, the most common HRCT findings were ground glass opacities (42%). While Izumiyama et al. [28] reported that centri-lobular nodules were reported in 23.6% of rheumatoid arthritis patients examined by HRCT distributed mainly in the middle and lower lobes, bronchiectasis was observed in 17.1% of patients.

Similar to this study, Scheeren et al. [29] results regarding aspiration pneumonitis showed tree-in-bud nodularity with unilateral or bilateral distribution of centri-lobular nodules on HRCT. Centri-lobular nodules, bronchiectasis, and ground glass opacities along with atelectasis and consolidation were concluded as common features of aspiration pneumonitis.

Similarly, Zakynthinos et al. [30] HRCT findings in cases of hemochromatosis showed patchy ground glass nodules mainly in the upper lobe [36], yet it was diffusely distributed in this study.

As Schmidt et al. [31] and Naidich et al. [32] studied, the main HRCT features of Langerhans cell histiocytosis were lung cysts and cavitation, followed by centri-lobular nodules. The distribution of the cystic lesion was characteristic involving predilection for mid and upper zones.

In CT chest with centri-lobular pulmonary nodules, multidisciplinary approach should be done to reach the proper diagnosis, it could be summarized as follows: first; relevant history taking, second; determine the radiographic features of nodules including shape, number, location, distribution, and surrounding pulmonary parenchymal associated findings. Then, diagnostic possibilities could be suggested. Lastly, auxiliary approach, mainly laboratory or histopathological assessment, could be done [17].

The main limitation of the study was the small number of cases over each disease category.

Conclusions

HRCT is a useful tool in the detection and characterization of centri-lobular pulmonary nodules. It can be used to differentiate the different etiologies that share centri-lobular nodularity. Other associated features and multidisciplinary approach are essential for further characterization of the most relevant etiological diagnosis.

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Abbreviations

HP:

Hypersensitivity pneumonitis

HRCT:

High-resolution computed tomography

LCH:

Langerhans cell histocytosis

MinIP:

Minimum intensity projection

MIP:

Maximum intensity projection

RB:

Respiratory bronchiolitis

RB-ILD:

Respiratory bronchiolitis interstitial lung disease

References

  1. Henry TS, Naeger DM, Looney MR, Elicker BM (2016) Dyspnea and pulmonary hypertension with diffuse centrilobular nodules. Ann Am Thorac Soc 13(10):1858–1860

    PubMed  Google Scholar 

  2. Weinman JP, Manning DA, Liptzin DR, Krausert AJ, Browne LP (2017) HRCT findings of childhood follicular bronchiolitis. Pediatr Radiol 47(13):1759–1765

    Article  Google Scholar 

  3. Lee NJ, Do KH. Many faces of the centrilobular nodules: what should radiologists consider? European congress of radiology-ECR 2017;2017.

  4. Boitsios G, Bankier AA, Eisenberg RL (2010) Diffuse pulmonary nodules. Am J Roentgenol 194(5):W354–W366

    Article  Google Scholar 

  5. Mooney JJ, Elicker BM, Urbania TH, Agarwal MR, Ryerson CJ, Nguyen MLT, Woodruff PG, Jones KD, Collard HR, King TE, Koth LL (2013) Radiographic fibrosis score predicts survival in hypersensitivity pneumonitis. Chest 144(2):586–592

    Article  Google Scholar 

  6. Shobeirian F, Mehrian P, Doroudinia A (2020) Hypersensitivity pneumonitis high-resolution computed tomography findings, and their correlation with the etiology and the disease duration. Prague Med Rep 121(3):133–141

    Article  Google Scholar 

  7. Churg A, Bilawich A, Wright JL (2018) Pathology of chronic hypersensitivity pneumonitis what is it? What are the diagnostic criteria? Why do we care? Arch Pathol Lab Med 142(1):109–119

    Article  Google Scholar 

  8. Morataya C, Crane J, Parmar K, Del Rio-Pertuz G, Nugent K. Respiratory bronchiolitis-associated interstitial lung disease case in a heavy smoker. In: TP34. TP034 interesting diffuse parenchymal lung disease cases;2021.A2091–A2091. American Thoracic Society.

  9. Park JS, Brown KK, Tuder RM, Hale VAE, King TE, Lynch DA (2002) Respiratory bronchiolitis-associated interstitial lung disease: Radiologic features with clinical and pathologic correlation. J Comput Assist Tomogr 26(1):13–20

    Article  Google Scholar 

  10. Sieminska A, Kuziemski K (2014) Respiratory bronchiolitis-interstitial lung disease. Orphanet J Rare Dis 9:106

    Article  Google Scholar 

  11. Banks DE, Bolduc CA, Ali S, Morris MJ (2018) Constrictive bronchiolitis attributable to inhalation of toxic agents. J Occup Environ Med 60(1):90–96

    Article  CAS  Google Scholar 

  12. Bakhtavar K, Sedighi N, Moradi Z (2008) Inspiratory and expiratory high-resolution computed tomography (HRCT) in patients with chemical warfare agents exposure. Inhalation Toxicol 20(5):507–511

    Article  CAS  Google Scholar 

  13. Travis WD, Costabel U, Hansell DM, King TE Jr, Lynch DA, Nicholson AG, Ryerson CJ, Ryu JH, Selman M, Wells AU (2013) An official American Thoracic Society/European Respiratory Society statement: Update of the international multidisciplinary classification of the idiopathic interstitial pneumonias. Am J Respir Crit Care Med 188(6):733–748

    Article  Google Scholar 

  14. Raghu G, Rochwerg B, Zhang Y, Garcia CAC, Azuma A, Behr J, Brozek JL, Collard HR, Cunningham W, Homma S (2015) An official ATS/ERS/JRS/ALAT clinical practice guideline: treatment of idiopathic pulmonary fibrosis. An update of the 2011 clinical practice guideline. Am J Respir Crit Care Med 192(2):e3–e19

    Article  Google Scholar 

  15. Iwasawa T, Takemura T, Ogura T (2018) Smoking-related lung abnormalities on computed tomography images: comparison with pathological findings. Jpn J Radiol 36(3):165–180. https://doi.org/10.1007/s11604-017-0713-0

    Article  CAS  PubMed  Google Scholar 

  16. Razavi S-M, Ghanei M, Salamati P, Safiabadi M (2013) Long-term effects of mustard gas on respiratory system of Iranian veterans after Iraq-Iran war: a review. Chin J Traumatol 16(3):163–168

    PubMed  Google Scholar 

  17. Rossi SE, Franquet T, Volpacchio M, Giménez A, Aguilar G (2005) Tree-in-bud pattern at thin-section CT of the lungs: radiologic-pathologic overview. Radiographics 25(3):789–801

    Article  Google Scholar 

  18. Ryu JH, Azadeh N, Samhouri B, Yi E (2020) Recent advances in the understanding of bronchiolitis in adults. F1000Research 9:F1000

    Article  Google Scholar 

  19. Nabeya D, Kinjo T, Parrott GL, Nakachi S, Yamashiro T, Ikemiyagi N, Arakaki W, Masuzaki H, Fujita J (2020) Chest computed tomography abnormalities and their relationship to the clinical manifestation of respiratory syncytial virus infection in a genetically confirmed outbreak. Intern Med (Tokyo, Japan) 59(2):247–252

    Article  Google Scholar 

  20. Kim M-C, Kim MY, Lee HJ, Lee S-O, Choi S-H, Kim YS, Woo JH, Kim S-H (2016) CT findings in viral lower respiratory tract infections caused by parainfluenza virus, influenza virus and respiratory syncytial virus. Medicine 95(26):e4003

    Article  CAS  Google Scholar 

  21. Zhu Q, Xu X, Li M, Wang X (2017) Analysis of chest computed tomography manifestations of non-Mycobacterium tuberculosis induced granulomatous lung diseases. Radiol Infect Dis 4(4):157–163

    Article  Google Scholar 

  22. Chang W-C, Tzao C, Hsu H-H, Lee S-C, Huang K-L, Tung H-J, Chen C-Y (2006) Pulmonary cryptococcosis. Chest 129(2):333–340

    Article  Google Scholar 

  23. Kunihiro Y, Tanaka N, Kawano R, Matsumoto T, Kobayashi T, Yujiri T, Kubo M, Gondo T, Ito K (2021) Differentiation of pulmonary complications with extensive ground-glass attenuation on high-resolution CT in immunocompromised patients. Japn J Radiol 39:1–9

    Article  Google Scholar 

  24. Giacomelli IL, Barros M, Pacini GS et al (2019) Multiple cavitary lung lesions on CT: imaging findings to differentiate between malignant and benign etiologies. J Bras Pneumol 46(2):e20190024

    PubMed  Google Scholar 

  25. Im JG, Itoh H, Shim YS, Lee JH, Ahn JA, Han MC et al (1993) Pulmonary tuberculosis: CT findings–early active disease and sequential change with antituberculous therapy. Radiology 186(3):653–660

    Article  CAS  Google Scholar 

  26. Duan J, Xu Y, Zhu H, Zhang H, Sun S, Sun H, Wang W, Xie S (2018) Relationship between CT activity score with lung function and the serum angiotensin converting enzyme in pulmonary sarcoidosis on chest HRCT. Medicine 97(36):e12205

    Article  CAS  Google Scholar 

  27. Yilmazer B, Gümüştaş S, Coşan F, İnan N, Ensaroğlu F, Erbağ G, Yıldız F, Çefle A (2016) High-resolution computed tomography and rheumatoid arthritis: semi-quantitative evaluation of lung damage and its correlation with clinical and functional abnormalities. Radiol Med (Torino) 121(3):181–189

    Article  Google Scholar 

  28. Izumiyama T, Hama H, Miura M, Hatakeyama A, Suzuki Y, Sawai T, Saito T (2002) Frequency of broncho-bronchiolar disease in rheumatoid arthritis: an examination by high-resolution computed tomography. Mod Rheumatol 12(4):311–317

    Article  CAS  Google Scholar 

  29. Scheeren B, Marchiori E, Pereira J, Meirelles G, Alves G, Hochhegger B (2016) Pulmonary computed tomography findings in patients with chronic aspiration detected by videofluoroscopic swallowing study. Br J Radiol 89(1063):20160004

    Article  Google Scholar 

  30. Zakynthinos E, Vassilakopoulos T, Kaltsas P, Malagari E, Daniil Z, Roussos C, Zakynthinos SG (2001) Pulmonary hypertension, interstitial lung fibrosis, and lung iron deposition in thalassaemia major. Thorax 56(9):737–739

    Article  CAS  Google Scholar 

  31. Schmidt S, Eich G, Geoffray A, Hanquinet S, Waibel P, Wolf R, Letovanec I, Alamo-Maestre L, Gudinchet F (2008) Extraosseous langerhans cell histiocytosis in children. Radiographics 28(3):707–726 (quiz 910–911)

    Article  Google Scholar 

  32. Naidich DP, Srichai MB (eds) (2007) Computed tomography and magnetic resonance of the thorax, 4th edn. Wolters Kluwer/Lippincott Williams & Wilkins, Baltimore

    Google Scholar 

Download references

Acknowledgements

Not applicable.

Funding

The authors state that this work has not received any funding.

Author information

Authors and Affiliations

  1. Kasr Al-Ainy Faculty of Medicine, Cairo University, Al-Manial, Cairo, 11559, Egypt

    Mona Ahmed Fouad Hafez, Thakur Koirala, Yasmine Hamdy El Hinnawy & Sally Fouad Tadros

Authors
  1. Mona Ahmed Fouad Hafez
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Thakur Koirala
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Yasmine Hamdy El Hinnawy
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Sally Fouad Tadros
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

SFT and MAH reviewed the images. SFT, YHE, and MAH analyzed and interpreted the patient data. SFT wrote the manuscript and MAH reviewed it. All authors have read and approved the manuscript.

Corresponding author

Correspondence to Mona Ahmed Fouad Hafez.

Ethics declarations

Ethical approval and consent for participation

Approval of the ethical committee of the ‘Radiology Department, Faculty of Medicine, Cairo University’ was granted before conducting this prospective study; Reference number: not applicable. Local institutional review board approval was granted before conducting this cross-sectional study, and written informed consent was obtained from all patients.

Consent for publication

All patients included in this research gave written informed consent to publish the data contained within this study. If the patients were less than 16-year-old, deceased, or unconscious when consent for publication was requested, written informed consent for the publication of these data was given by their parents or legal guardians.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

Reprints and Permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Hafez, M.A.F., Koirala, T., El Hinnawy, Y.H. et al. Centri-lobular pulmonary nodules on HRCT: incidence and approach for etiological diagnosis. Egypt J Radiol Nucl Med 53, 203 (2022). https://doi.org/10.1186/s43055-022-00891-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s43055-022-00891-0

Keywords

  • HRCT
  • Centri-lobular
  • Pulmonary nodules