Role of High Resolution Computed Tomography in Characterization of Interstitial Lung Disease in Rural Tertiary Care Centre


Consultant Radiologist, Department of Radio-diagnosis, Apollo Hospitals, Visakhapatnam, Andhra Pradesh, India
Assistant Professor, Department of Radio-diagnosis, Shri Sathya Sai Medical College and Research Institute, Ammapettai, Chengalpattu, Tamilnadu, India
Assistant Professor, Department of Radio Diagnosis, PES Institute of Medical Sciences and Research, Kuppam, Andhra Pradesh, India

Abstract

Background: The Interstitial lung disease (ILD) are a group of diffuse parenchymal lung diseases that share many features but are sufficiently different from one another to be designated as separate disease entities. HRCT (High Resolution Computed Tomography) is particularly helpful in and diagnosing and characterizing these entities. Subjects and Methods: Data for the study collected from patients clinically suspected to have interstitial lung disease. Sample size: 31 patients. Study period: 2yrs. Study design: Prospective and Observational study. Inclusion criteria: Suspected cases of diffuse parenchymal lung disease by clinical history, physical examination, radiographic findings and appropriate laboratory investigations. Cases of all age groups irrespective of sex. Exclusion criteria: Known cases of lung malignancies and previously treated cases of diffuse parenchymal lung disease are excluded from the study. Results: In a period of 2yrs study, 31 patients were diagnosed as ILDs on HRCT chest imaging. Among 31 cases most of them were IPF/UIP (35%), followed by AIP (16%). Honey combing is predominantly confined to UIP/IPF (100%), Traction bronchiectasis is predominantly seen in UIP/IPF (68%), Ground glass opacity is mostly seen in NSIP (23%) followed by AIP. Reticular opacities are predominantly seen in UIP/IPF (45%) followed by NSIP (18%). Consolidation is predominantly seen in HP (30%) and COP (30%). Septal thickening is predominantly seen in UIP/IPF (45%) followed by NSIP (18%). Conclusion: HRCT is the most sensitive tool for non-invasive imaging of the lung parenchyma in patients with suspected ILD.

Keywords

HRCT, ILDs, UIP, NSIP, Silicosis.

Introduction

The Interstitial lung disease (ILD) are a group of diffuse parenchymal lung diseases that share many features but are sufficiently different from one another to be designated as separate disease entities. HRCT (High Resolution Computed Tomography) is particularly helpful in characterizing and diagnosing these entities.

Conventional computed tomography uses thick sections resulting in a reduction of the ability to resolve small structures due to volume averaging.

High resolution computed tomography (HRCT) uses thin collimation, provides anatomical details similar to that available from gross pathological specimens and also allows reconstruction of images.

Advances in HRCT scanning have allowed an accurate diagnosis obviating the need for surgical biopsy in many patients. Furthermore, HRCT scanning may aid in determining prognosis and identifying disease progression.[1]

Aims and O bjectives

To evaluate the role of high resolution computed tomography in interstitial lung disease.

To characterize and classify various ILD according to their HRCT appearance.

Subjects and Methods

Source of data: Data for the study collected from patients referred to the department of Radio Diagnosis, PESIMSR, Kuppam, clinically suspecting ILD.

Study design: Prospective and Observational study.

Sample size: 31 Patients.

Period of Study: 2 years.

Equipment- GE Bright Speed Elite 16 Slice CT Scanner.

Permission from the Institutional ethical committee was obtained prior to the study and informed consent of study objects was taken before HRCT chest was done.

HRCT chest protocol:

Slice thickness: 1.25 mm

Reconstruction slice thickness: 0.625mm

Scan time: 0.8 second.

KVp: 120-140.

mAs: 100-200

Collimation: 1.5-3 mm

Matrix size: 512x512

FOV: 35 cm

Reconstruction algorithm: High spatial frequency (Bone algorithm).

Window: Lung window

Position: Usually supine, but prone scans were obtained wherever needed.

Level of respiration: Suspended full inspiration. When air trapping was suspected, expiratory images were also taken.

Superior extent: Lung apices.

Inferior extent: Domes of diaphragm.

Inclusion criteria

Suspected cases of diffuse parenchymal lung disease by clinical history, physical examination, radiographic findings and appropriate laboratory investigations.

Cases of all age groups irrespective of sex.

Exclusion criteria

Known cases of lung malignancies and previously treated cases of diffuse parenchymal lung disease are excluded from the study.

Patients who are pregnant or lactating at the time of study.

Patients who are unwilling to give informed consent.   .

Results

In our study group which included total number of 31 patients the results were as follows.

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Figure 1: Age distribution of patients with ILDs

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Figure 2: Gender distribution of patients with ILD

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Figure 3: Tobacco smokers & non-smokers

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Figure 4: Distribution of ILD

Table 1: Lobar distribution of ILDs

ILD

UL

ML/LINGULAR LOBE

LL

DIFFUSE

UIP/IPF

0

5 (55.5%)

10 (55.5%)

1 (12.5%)

NSIP

0

1 (11.1%)

4 (22.2%)

0

AIP

1 (16.6%)

1 (11.1%)

0

4 (50%)

HP

1 (16.6%)

0

1 (5.5%)

2 (25%)

COP

1 (16.6%)

1 (11.1%)

3 (16.6%)

0

SILICOSIS

3 (50%)

1 (11.1%)

0

1 (12.5%)

Total

6

9

18

8

ILD-Interstitial lung disease. UL-upper lobe, ML-middle lobe, LL-lower lobe.

Table 2: HRCT findings in the ILDs among study group

UIP/IPF

NSIP

AIP

HP

COP

Silicosis

Total

HC

11(100%)

0

0

0

0

0

11

TB

11(68.7%)

2(2.5%)

0

1(6.25%)

1(6.2%)

1(6.2%)

16

GG

2(11.7%)

4(23.5%)

4(23.5%)

3(17.6%)

3(17.6%)

1(5.8%)

17

NO

1(12.5%)

0

0

2(25%)

0

5(62.5%)

8

RO

10(45.5%)

4(18.1%)

2(9%)

1(4.5%)

1(4.5%)

4(18.1%)

22

CON

2(20%)

0

3(30%)

0

3(30%)

2(20%)

10

ST

10(45.5%)

4(18.1%)

2(9%)

1(4.5%)

1(4.5%)

4(18.1%)

22

LN

6(28.5%)

1(4.7%)

4(19%)

2(9.5%)

3(14.2%)

5(23.8%)

21

HC: Honey Combing, TB: Traction bronchiectasis, GG: Ground glassing, NO: Nodular opacities, RO: Reticular opacities, CON: Consolidation, ST: Septal thickening, LN: Lymphadenopathy.

Discussion

In our study, total number of patients who were diagnosed based on HRCT findings as interstitial lung diseases were 31.

Out of 31 patients in our study, most of the patients were of 51-60yrs age group (38.7%), followed by 61-70yrs (32.2%), 41-50yrs (12.9%), 31-40yrs (9.6%) and 71-80yrs (6.4%).

Patients were males (54 8% and 14 patients were females (45 16%

Patients (48 3% were tobacco smokers and 16 patients (51 61% were non tobacco smokers

https://s3-us-west-2.amazonaws.com/typeset-prod-media-server/6bea4940-560d-46fc-bb06-0679b02228a5image5.jpeg
Figure 5: A c ase of UIP. Axial section HRCT lung image showing honey combing and traction bronchiectasis involving bilateral lower lobes.
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Figure 6: A case of NSIP. Axial section HRCT lung image showing patchy areas of ground glass opacities with mild interlobular septal thickening involving periphery of bilateral lungs withareas of subpleural sparing.

In our study, 20 patients were diagnosed as idiopathic interstitial lung disease (64.5%) and 11 patients were diagnosed as non-idiopathic interstitial lung disease where the cause of interstitial lung disease was known, out of which 5 patients were diagnosed as silicosis, 3 patients as hypersensitive pneumonitis, 1 patient was a diagnosed case of scleroderma and 2 patients were suffering from rheumatoid arthritis.

Most of them were IPF/UIP (35%), followed by AIP (16%), Silicosis (16%), NSIP (12%), HP (9%) and COP (9%).

In our study, out of 31 patients of interstitial lung disease, upper lobe predominance involvement was mostly seen in silicosis (50%), followed by AIP (16.65), HP (16.6%) and COP (16.65). Middle lobe/ Lingular predominance was seen in UIP/IPF (55.5%), followed by NSIP (11.1%), AIP (11.1%), COP (11.1%) and Silicosis (11.1%). Lower lobe predominance was mostly seen in UIP/IPF (55.5%) followed by NSIP (22.2%), COP (16.6%) and HP (5.5%). Diffuse involvement of lung was mostly seen in AIP (50%) followed by HP (25%), UIP/IPF (12.5%) and Silicosis (12.5%).

Honey combing is confined to UIP/IPF (100%). Traction bronchiectasis is predominantly seen in UIP/IPF (68%), Ground glass opacity is mostly seen in NSIP (23%) followed by AIP, HP and COP. Reticular opacities are predominantly seen in UIP/IPF (45%) followed by NSIP (18%) and Silicosis (18%). Consolidation is predominantly seen in HP (30%) and COP (30%). Septal thickening is predominantly seen in UIP/IPF (45%) followed by NSIP (18%) and Silicosis (18%). Lymphadenopathy is predominantly seen in UIP (28%) followed by Silicosis (23%) and AIP (19%).

Most of the results in our study were correlating with previous studies (Meraj Rentia et.al, Bhawna Satija et.al, Baskaran Sundaram et.al, Brett Elicker, Collins C D, Orens J B, Arun A, Athol Wells, Ramakrishna Narra et al).[2,3,4,5,6,7,8,9,10,11,12,13,14,15]

https://typeset-prod-media-server.s3.amazonaws.com/article_uploads/c0199628-419a-4adb-bf49-f5bdf6481743/image/b27cba3b-f62d-4533-a6cf-92b0516ba493-u1.png
Figure 7: (A,B) A case of silicosis. Axial section HRCT images in lung window and mediastinal windowshowing centrilobular and subpleural ground glass nodules with fine inter-lobular septal thickening and calcified mediastinal lymph nodes.

Conclusion

ILD is a broad category of diseases that may present with different but overlapping findings on HRCT. The different HRCT findings and the location of these findings in the lung often enable a specific diagnosis of ILD to be made in a given patient obviating the need for lung biopsy.

HRCT is a non-invasive imaging modality for evaluation of lung parenchyma. The high spatial resolution makes HRCT superior to other imaging modalities.

Hence any case with suspected interstitial lung disease should always be subjected to HRCT to reach the final diagnosis.