Literature DB >> 25523307

CT features of pulmonary arterial hypertension and its major subtypes: a systematic CT evaluation of 292 patients from the ASPIRE Registry.

S Rajaram1, A J Swift1, R Condliffe2, C Johns1, C A Elliot2, C Hill3, C Davies3, J Hurdman2, I Sabroe2, J M Wild1, D G Kiely2.   

Abstract

We evaluated the prevalence and prognostic value of CT-pulmonary angiographic (CTPA) measures in 292 treatment naive patients with pulmonary arterial hypertension (PAH). Pulmonary artery calcification (13%) and thrombus (10%) were exclusively seen in PAH-congenital heart disease. Oesophageal dilation (46%) was most frequent in PAH-systemic sclerosis. Ground glass opacification (GGO) (41%), pericardial effusion (38%), lymphadenopathy (19%) and pleural effusion (11%) were common. On multivariate analysis, inferior vena caval area, the presence of pleural effusion and septal lines predicted outcome. In PAH, CTPA provides diagnostic and prognostic information. In addition, the presence of GGO on a CT performed for unexplained breathlessness should alert the physician to the possibility of PAH. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

Entities:  

Keywords:  Primary Pulmonary Hypertension

Mesh:

Year:  2014        PMID: 25523307      PMCID: PMC4392204          DOI: 10.1136/thoraxjnl-2014-206088

Source DB:  PubMed          Journal:  Thorax        ISSN: 0040-6376            Impact factor:   9.139


Introduction

Pulmonary hypertension (PH) ranges from a mild elevation in pressure in severe cardiac/respiratory disease to rare conditions where severe pressure elevation results in right heart failure and death. The current classification identifies 5 major groups, defining prognosis and treatment. Classification within groups is also important. In pulmonary arterial hypertension (PAH), survival in idiopathic PAH (IPAH) is superior to PAH associated with connective tissue disease (PAH-CTD) but inferior to PAH associated with congenital heart disease (PAH-CHD).1 Due to the heterogeneity of PH, imaging is recognised as a valuable tool improving phenotyping and providing prognostic information, complementing data from right heart catheterisation. Cardiac MR provides functional information whereas CT provides structural information, depicting features which may cause and be due to PH. Previous CT studies in PH have mainly been in mixed groups; only a small number of CT parameters have been studied and prognostic data are limited. Our objective was to systematically evaluate the prevalence, diagnostic and prognostic value of vascular, cardiac, parenchymal and mediastinal CT findings in patients with PAH at the time of diagnosis.

Methods

Consecutive treatment naive patients with PAH were identified from the ASPIRE Registry1 of patients referred to a PH referral centre. Classification was by standard criteria following multidisciplinary assessment. Inclusion criteria required the patient to have undergone multislice CT-pulmonary angiography (CTPA) and high resolution computed tomography (HRCT) within 3 months of initial diagnostic right heart catheterisation (RHC), except for Eisenmenger's syndrome in whom RHC was not routinely performed. Image analysis and interpretation: see online supplement. Vascular changes: Pulmonary artery to aorta ratio (PA to Ao ratio), depth of pericardial effusion, reflux of contrast into the hepatic veins and inferior vena cava (IVC) cross-sectional area were measured (figures 1 and 2).
Figure 1

The pulmonary artery (PA) aorta ratio was obtained by measuring the widest transverse diameter of the PA (blue) and the corresponding transverse diameter of aorta (red).

Figure 2

Grading of tricuspid regurgitation. (A) 0=There is no reflux into IVC, (B) 2=reflux into IVC but not hepatic veins, (C) 3=reflux into IVC and proximal hepatic veins and (D) 4=reflux into IVC and distal hepatic veins.

The pulmonary artery (PA) aorta ratio was obtained by measuring the widest transverse diameter of the PA (blue) and the corresponding transverse diameter of aorta (red). Grading of tricuspid regurgitation. (A) 0=There is no reflux into IVC, (B) 2=reflux into IVC but not hepatic veins, (C) 3=reflux into IVC and proximal hepatic veins and (D) 4=reflux into IVC and distal hepatic veins. Cardiac changes: Right ventricle to left ventricle ratio (RV to LV ratio), right atrial size, interventricular (IV) septal position and RV free wall thickness were recorded (figure 3).
Figure 3

(A) The maximum mid-transverse diameters of the RV (right arrow) and LV (left arrow) cavities were measured in the axial plane at their widest points between the inner surfaces of the free wall and the interventricular septum. (B) For assessing the right atrial margin (arrow) on CT, right atrial length was measured from the centre of tricuspid annulus to the superior right atrial margin. RV, right ventricle; LV, left ventricle.

(A) The maximum mid-transverse diameters of the RV (right arrow) and LV (left arrow) cavities were measured in the axial plane at their widest points between the inner surfaces of the free wall and the interventricular septum. (B) For assessing the right atrial margin (arrow) on CT, right atrial length was measured from the centre of tricuspid annulus to the superior right atrial margin. RV, right ventricle; LV, left ventricle. Parenchymal and mediastinal changes: The presence of ground glass opacification (GGO) and the pattern/distribution was noted (figure 4). CT scans were assessed for fibrosis, pleural effusions, mediastinal lymphadenopathy and dilated bronchial collaterals.
Figure 4

Centrilobular ground glass pattern (A) and central ground glass pattern (B).

Centrilobular ground glass pattern (A) and central ground glass pattern (B).

Results

Of 444 consecutive patients with PAH from the ASPIRE Registry (2006–2010), 292 patients had multislice CTPA/HRCT within 3 months of right heart catheterisation; mean age, 62±16 years (table 1) (see online supplement for haemodynamic and demographic characteristics, figure 5 and online supplementary table S2).
Table 1

Features seen on CT-pulmonary angiography in patients with pulmonary arterial hypertension (PAH) and its major subgroups

CT parametersPAH(n=292)IPAH(n=74)PAH-SSc (n=95)PAH-CTD-non-SSc(n=39)PAH-portal(n=14)PAH-CHD(n=63)PAH-CHD-Eisenmenger(n=31)
Vascular changes
PA to Ao ratio∼1.16 (0.21)1.19 (0.18)*1.04 (0.16)*1.07 (1.16)*1.08 (0.17)*1.26 (0.40)†‡§*¶1.46 (0.45)
IVC size (mm2)∼596 (207)583 (200)570 (203)546 (206)632 (156)647 (209)659 (212)
TR present73806762578593
 Grade 118152023361416
 Grade 221242315141923
 Grade 3121613130822
 Grade 42224121074432
 Calcification in PA300001316
 Thrombus in PA200001013
Cardiac changes
 RV to LV ratio1.25 (0.42)1.39 (0.46)1.19 (0.48)1.19 (0.36)1.25 (0.35)1.15 (0.30)1.23 (0.38)
 RVH (mm)6 (2.7)6 (2.3)‡4 (1.78)*¶4 (3.21)*6 (1.89)7 (4.26)§‡8 (2.5)
 RA size (mm)55 (12.1)57 (10.9)53 (12.5)*52 (13.1)*56 (17.2)59 (13.4)§‡59 (14.6)
RA size
 Moderate28352026363542
 Severe20241610142722
IV septum
 Flattened31422426433029
 Deviated27341921213329
Pericardial effusion
 Present38383653424830
 Depth (mm)∼12 (5)8 (7)14 (6)13 (6)14 (5)13 (4)11 (4)
Lung and mediastinal changes
 GGO present41423624216058
 Central pattern**21105110256
 Centrilobular pattern**55486160675356
 Collaterals vessel1191803555
 Lymphadenopathy1922252701016
 Pleural effusion11141581453
 Septal lines2130235211823
 Ascites55481420
 Oesophageal dilatation23746367610

Frequency is expressed as a percentage; for absolute values, data are expressed as mean (SD).

*p<0.05 in comparison with PAH-CHD.

†p<0.05 in comparison with PAH-portal.

‡p<0.05 in comparison with PAH-SSc.

§p<0.05 in comparison with PAH-CTD-non-SSc.

¶p<0.05 in comparison with IPAH.

**Represents percentage of the patients with GGO present.

Ao, aorta; CHD, congential heart disease; CTD, connective tissue disease; GGO, ground glass opacification; IPAH, idiopathic pulmonary arterial hypertension; IV, interventricular; IVC, inferior vena cava; LV, left ventricle; PA, pulmonary artery; PAH, pulmonary arterial hypertension; RA, right atrium; RV, right ventricle; RVH, right ventricular hypertrophy; TR, tricuspid regurgitation; SSc-systemic sclerosis.

Figure 5

Flow chart demonstrating patient inclusion.

Features seen on CT-pulmonary angiography in patients with pulmonary arterial hypertension (PAH) and its major subgroups Frequency is expressed as a percentage; for absolute values, data are expressed as mean (SD). *p<0.05 in comparison with PAH-CHD. †p<0.05 in comparison with PAH-portal. ‡p<0.05 in comparison with PAH-SSc. §p<0.05 in comparison with PAH-CTD-non-SSc. ¶p<0.05 in comparison with IPAH. **Represents percentage of the patients with GGO present. Ao, aorta; CHD, congential heart disease; CTD, connective tissue disease; GGO, ground glass opacification; IPAH, idiopathic pulmonary arterial hypertension; IV, interventricular; IVC, inferior vena cava; LV, left ventricle; PA, pulmonary artery; PAH, pulmonary arterial hypertension; RA, right atrium; RV, right ventricle; RVH, right ventricular hypertrophy; TR, tricuspid regurgitation; SSc-systemic sclerosis. Flow chart demonstrating patient inclusion.

Vascular changes

The PA to Ao ratio was highest for patients with PAH-CHD-Eisenmenger followed by IPAH. Greater IVC dilatation was observed in PAH-portal and PAH-CHD. Regurgitation of contrast into hepatic veins was frequent across the subgroups. PA calcification and mural thrombus were noted only in patients with PAH-CHD and occurred in 16% (calcification) and 13% (mural thrombus) in PAH-CHD-Eisenmenger group.

Cardiac changes

The RV to LV ratio for PAH was 1.25±0.42 (mean±SD) highest in IPAH although there were no statistically significant differences between groups. The RV wall thickness was 6±2.7 mm for PAH and within subgroups less RV hypertrophy was seen in PAH-CTD (PAH systemic sclerosis (PAH-SSc) and PAH-CTD-non-SSc). Mean right atrium (RA) size for PAH was 55 mm±12.1. Qualitative grading of the RA showed 82% had right atrial enlargement. A higher proportion of patients with IPAH and PAH-CHD were graded as severe RA enlargement compared with other subgroups. Deviation of the IV septum towards the LV was evident in 27% of patients with PAH and most frequent in IPAH. A pericardial effusion was seen in 38% of patients most frequently in patients with PAH-CTD-non-SSc and least frequently in PAH-CHD-Eisenmenger.

Parenchymal and mediastinal changes

Ground glass opacities were frequent in PAH (41%), most commonly PAH-CHD. The predominant pattern of GGO in PAH was a centrilobular pattern. In PAH-SSc, 51% of patients had central distribution of GGO and 49% had non-central distribution; compared with a low occurrence of central distribution in other subgroups. Dilated collateral vessels occurred most commonly in patients with PAH-CHD-Eisenmenger syndrome.

Survival results

The maximal duration of follow-up was 6 years (mean 3 years) and there were 112 deaths. Multivariable Cox proportional hazard analysis incorporating clinical, haemodynamic and CT parameters showed CT parameters, inferior vena caval area and the presence of pleural effusion/septal lines to be significant predictors of death (see online supplementary tables S3 and S4 and figures 2 and 6).
Figure 6

Kaplan–Myer curve demonstrating survival based on the presence/absence of pleural effusion.

Kaplan–Myer curve demonstrating survival based on the presence/absence of pleural effusion.

Discussion

This study is the first comprehensive report of the prevalence and relative prognostic value of vascular, cardiac, lung parenchymal and mediastinal changes on CT in PAH and its major subgroups. Within subgroups, different vascular and cardiac configurations are observed, reflecting the heterogeneity of PAH. We have demonstrated that cardiac and vascular morphology can predict outcome in PAH and CT measures such as IVC area, and pleural effusion/septal lines are independent prognostic markers. In addition to established measures, quantifiable CT findings including elevated RV to LV ratio, deviated IV septum, dilated RA, RV free wall hypertrophy, pericardial/pleural effusions, contrast regurgitation into the hepatic veins and GGO occur frequently in PAH and major subgroups. Different CT patterns were observed in PAH subgroups but none were diagnostic. IPAH and PAH-CHD-Eisenmenger have a higher proportion of severe RA dilatation, contrast regurgitation into hepatic veins and ground glass opacities. While more patients with IPAH have a deviated IV septum and greater RV to LV ratio, the Eisenmenger group had a higher PA to Ao ratio, PA calcification, mural thrombus and dilated collateral vessels. Although the higher RV to LV ratio in IPAH may appear counterintuitive, this may reflect better preserved RV function in the conditioned RV of the Eisenmenger patient and the off-loading effect of a right-left shunt. We noted that central distribution of ground glass opacity was frequent in patients with PAH-SSc whereas a centrilobular pattern was more common in IPAH and PAH-CHD-Eisenmenger. CT features predict outcome in treatment naive PAH including RV to LV ratio, right atrial size, IV septal position, inferior vena caval size, pericardial/pleural effusions, mediastinal lymphadenopathy and septal lines. Most of these parameters predict survival in major subgroups (see online supplementary table S4). IVC area the presence of pleural effusions/septal lines were predictors of outcome independent of pulmonary haemodynamics and WHO functional class, highlighting the prognostic value of CT.2 In PAH, RV function is a prognostic determinant. IV septal displacement and dilatation of RV as shown by a high RV to LV ratio on CT reflect a failing RV and it is not surprising they have prognostic significance. A failing RV and tricuspid regurgitation elevate right atrial pressure. Inferior vena caval size was demonstrated to be a strong predictor of outcome. Vena caval diameter reflects the pressure in the RA2 which is an important prognostic marker in PAH. Elevated right atrial pressure impedes mediastinal lymphatic and venous drainage resulting in the development of septal lines, mediastinal lymphadenopathy and pleural and pericardial effusions. These features are not surprisingly associated with a poor outcome. Ground glass attenuation is described in patients with PH.3 Our results show that GGO is seen in all major subgroups of PAH. Centrilobular pattern of GGO correlated with poor outcome following treatment in patients with PAH in a previous study.4 In our study, this prognostic observation was restricted to IPAH and was not seen in other major subgroups. We found a lower prevalence of GGO/septal lines in PAH-SSc than may have been expected but this reflects the rigorous way that patients with SSc with coexisting lung disease are excluded in the ASPIRE Registry, with this group having an FVC of 95±14% (see online supplement). So how does an appreciation of CT characteristics in PAH help the physician? First, although there is overlap in the different forms of PAH, the presence of a ground glass pattern affecting the central part of the lung and sparring the periphery with oesophageal dilation should raise the possibility of underlying systemic sclerosis, whereas a centrilobular ground glass pattern with a very large PA and luminal calcification should suggest the possibility of an underlying congenital heart problem and prompt further investigation to confirm or refute these diagnoses. Second, the presence of adverse prognostic features on CT such as the presence of a pleural effusion, septal lines or a dilated IVC should alert the physician that the patient falls into a poor prognostic group prompting urgent referral for specialist assessment and treatment. Given that CT results in radiation exposure and there are other validated biomarkers which are sensitive to change, its use in follow-up is not recommended. Whether a reduction in IVC area or resolution of pleural effusions/septal lines is of prognostic importance is not answered by this study. Finally, a centrilobular ground glass pattern is very common in PAH and its presence should alert the physician to the possibility of PAH if the scan was performed for unexplained breathlessness and be a prompt to look for other CT features such as PA and RV enlargement, which are seen in PH. There are limitations to our study. We used non-gated axial images. However, the purpose of our study was to evaluate uncomplicated measurements in a non-gated CT frequently performed as a first line examination. Second, pulmonary veno-occlusive disease (PVOD) has several overlapping clinical and pathological features with IPAH, which are difficult to recognise without lung biopsy or transplantation. It is possible that patients with PAH in our cohort may have had PVOD, although the number of patients found to have histological evidence of PVOD in a previous study at postmortem was low.5 In this cohort of patients, the majority of patients were in WHO functional capacity III and IV, comparable with the majority of Registry data from this era. Some more recent reports have identified a higher proportion of patients with earlier stage disease. In conclusion, we report features of PAH and its major subgroups on a pretreatment CT and demonstrate that CT measures including the presence of pleural effusion/septal lines and inferior vena caval area predict outcome. Finally, GGO is commonly seen in PAH and its presence on a CT performed for breathlessness should raise the possibility of this diagnosis.
  5 in total

1.  Mosaic pattern of lung attenuation on CT scans: frequency among patients with pulmonary artery hypertension of different causes.

Authors:  A D Sherrick; S J Swensen; T E Hartman
Journal:  AJR Am J Roentgenol       Date:  1997-07       Impact factor: 3.959

2.  ASPIRE registry: assessing the Spectrum of Pulmonary hypertension Identified at a REferral centre.

Authors:  J Hurdman; R Condliffe; C A Elliot; C Davies; C Hill; J M Wild; D Capener; P Sephton; N Hamilton; I J Armstrong; C Billings; A Lawrie; I Sabroe; M Akil; L O'Toole; D G Kiely
Journal:  Eur Respir J       Date:  2011-09-01       Impact factor: 16.671

3.  Relation of mean right atrial pressure to echocardiographic and Doppler parameters of right atrial and right ventricular function.

Authors:  S F Nagueh; H A Kopelen; W A Zoghbi
Journal:  Circulation       Date:  1996-03-15       Impact factor: 29.690

4.  Pulmonary arterial hypertension: thin-section CT predictors of epoprostenol therapy failure.

Authors:  Arnaud Resten; Sophie Maître; Marc Humbert; Olivier Sitbon; Frédérique Capron; Gérald Simoneau; Dominique Musset
Journal:  Radiology       Date:  2002-03       Impact factor: 11.105

5.  Pulmonary hypertension: CT of the chest in pulmonary venoocclusive disease.

Authors:  Arnaud Resten; Sophie Maitre; Marc Humbert; Anne Rabiller; Olivier Sitbon; Frédérique Capron; Gérald Simonneau; Dominique Musset
Journal:  AJR Am J Roentgenol       Date:  2004-07       Impact factor: 3.959

  5 in total
  22 in total

1.  Prediction of pulmonary pressure after Glenn shunts by computed tomography-based machine learning models.

Authors:  Lei Huang; Jiahua Li; Meiping Huang; Jian Zhuang; Haiyun Yuan; Qianjun Jia; Dewen Zeng; Lifeng Que; Yue Xi; Jijin Lin; Yuhao Dong
Journal:  Eur Radiol       Date:  2019-11-08       Impact factor: 5.315

2.  Computed tomography-measured pulmonary artery to aorta ratio and EUTOS score for detecting dasatinib-induced pulmonary arterial hypertension.

Authors:  Takumi Toya; Yuji Nagatomo; Kazuki Kagami; Midori Yukino; Risako Yasuda; Takayuki Namba; Yasuo Ido; Shinichi Kobayashi; Nobuyuki Masaki; Hirotaka Yada; Fumihiko Kimura; Takeshi Adachi
Journal:  Int J Cardiovasc Imaging       Date:  2019-02-04       Impact factor: 2.357

Review 3.  Pulmonary hypertension in patients with heart failure and preserved ejection fraction: differential diagnosis and management.

Authors:  Nehal Hussain; Athanasios Charalampopoulos; Sheila Ramjug; Robin Condliffe; Charlie A Elliot; Laurence O'Toole; Andrew Swift; David G Kiely
Journal:  Pulm Circ       Date:  2016-03       Impact factor: 3.017

Review 4.  Evaluation and classification of pulmonary arterial hypertension.

Authors:  Sandeep Sahay
Journal:  J Thorac Dis       Date:  2019-09       Impact factor: 2.895

5.  Automated generation of directed graphs from vascular segmentations.

Authors:  Brian E Chapman; Holly P Berty; Stuart L Schulthies
Journal:  J Biomed Inform       Date:  2015-07-09       Impact factor: 6.317

6.  Evolution of Obstructive Lung Function in Advanced Pulmonary Arterial Hypertension.

Authors:  Farbod N Rahaghi; Megan Trieu; Faisal Shaikh; Fereidoun Abtin; Alejandro A Diaz; Lloyd L Liang; Igor Barjaktarevic; Richard N Channick; Raúl San José Estépar; George R Washko; Rajan Saggar
Journal:  Am J Respir Crit Care Med       Date:  2021-12-15       Impact factor: 30.528

7.  Age dependence of pulmonary artery blood flow measured by 4D flow cardiovascular magnetic resonance: results of a population-based study.

Authors:  Thomas Wehrum; Paul Hagenlocher; Thomas Lodemann; Werner Vach; Iulius Dragonu; Anja Hennemuth; Constantin von Zur Mühlen; Judith Stuplich; Ba Thanh Truc Ngo; Andreas Harloff
Journal:  J Cardiovasc Magn Reson       Date:  2016-05-31       Impact factor: 5.364

8.  CT derived left atrial size identifies left heart disease in suspected pulmonary hypertension: Derivation and validation of predictive thresholds.

Authors:  Benjamin J Currie; Chris Johns; Matthew Chin; Thanos Charalampopolous; Charlie A Elliot; Pankaj Garg; Smitha Rajaram; Catherine Hill; Jim W Wild; Robin A Condliffe; David G Kiely; Andy J Swift
Journal:  Int J Cardiol       Date:  2018-03-04       Impact factor: 4.164

Review 9.  Computed tomography appearances of the lung parenchyma in pulmonary hypertension.

Authors:  Robert W Foley; Nirav Kaneria; Rob V MacKenzie Ross; Jay Suntharalingam; Benjamin J Hudson; Jonathan Cl Rodrigues; Graham Robinson
Journal:  Br J Radiol       Date:  2020-09-11       Impact factor: 3.039

10.  Phenotypic Characterization of EIF2AK4 Mutation Carriers in a Large Cohort of Patients Diagnosed Clinically With Pulmonary Arterial Hypertension.

Authors:  Charaka Hadinnapola; Marta Bleda; Matthias Haimel; Nicholas Screaton; Andrew Swift; Peter Dorfmüller; Stephen D Preston; Mark Southwood; Jules Hernandez-Sanchez; Jennifer Martin; Carmen Treacy; Katherine Yates; Harm Bogaard; Colin Church; Gerry Coghlan; Robin Condliffe; Paul A Corris; Simon Gibbs; Barbara Girerd; Simon Holden; Marc Humbert; David G Kiely; Allan Lawrie; Rajiv Machado; Robert MacKenzie Ross; Shahin Moledina; David Montani; Michael Newnham; Andrew Peacock; Joanna Pepke-Zaba; Paula Rayner-Matthews; Olga Shamardina; Florent Soubrier; Laura Southgate; Jay Suntharalingam; Mark Toshner; Richard Trembath; Anton Vonk Noordegraaf; Martin R Wilkins; Stephen J Wort; John Wharton; Stefan Gräf; Nicholas W Morrell
Journal:  Circulation       Date:  2017-09-28       Impact factor: 29.690

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