Literature DB >> 36204455

Teaching Nonradiologists to Identify Right Heart Strain on Computed Tomography Scans of Acute Pulmonary Embolism.

Samantha Pettigrew1, Eneida Harrison2, Ka U Lio3, Michael-Isaac Walshon4, Huaqing Zhao5, Gary Cohen6, Riyaz Bashir6, Gerard J Criner2, Kumaran Maruti4, Parth Rali2.   

Abstract

Entities:  

Year:  2022        PMID: 36204455      PMCID: PMC9531291          DOI: 10.34197/ats-scholar.2021-0128BR

Source DB:  PubMed          Journal:  ATS Sch        ISSN: 2690-7097


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Acute pulmonary embolism management is centered on the presence of right ventricular (RV) strain. Patients with RV strain have a greater than twofold increase in 30-day mortality (1, 2). RV strain is present in ⩾25% in patients with pulmonary embolism (3). This is associated with adverse outcomes even in patients with low pulmonary embolism severity index (3). RV dilation on computed tomography pulmonary angiography (CTPA) was associated with increased 30-day mortality in patients with acute pulmonary embolism (4). European Society of Cardiology guidelines allow the use of CTPA and/or echocardiography in pulmonary embolism risk stratification (5). Even though echocardiography is invaluable in pulmonary embolism management, it is often delayed (6). RV/left ventricular (LV) ratio on CTPA is a clinical endpoint in clinical trials involving catheter-directed treatments in patients with intermediate-risk pulmonary embolism (7–11). Identifying RV strain on CTPA facilitates treatment decisions. Measurements of the RV/LV ratio on CTPA by trained radiologists tend to be very accurate and reproducible (12). The accuracy and reproducibility of measurements obtained by other medical professionals have not been well described.

Methods

We selected 93 patients from the Temple University Hospital Pulmonary Embolism Response Team registry (institutional review board 26021). All patients had confirmed pulmonary embolism on CTPA during their hospitalization. Two instructional sessions led by an expert chest radiologist, one 30-minute live session and one 30-minute recorded video session, were attended by three internal medicine residents (two postgraduate year 2 [PGY-2], one PGY-3) and five pulmonary critical care fellows (three PGY-5, two PGY-6). The recorded session was first, during which the radiologist described how to measure the RV/LV ratio at the maximum diameters of the ventricles. Features of RV strain, including dilatation and septal flattening, were described and examples provided. For inferior vena cava (IVC) reflux, assessment of the attenuation of contrast in the IVC was described. See the data supplement for a video by our expert radiologist detailing how to obtain these measurements with examples. During the in-person session, trainees measured parameters with the radiologist. The radiologist was available to help with technique and answer questions. All participants had measured at least five test images with acceptable results before participating in the study. All trainees independently and in a blinded manner measured the right ventricle and left ventricle at their maximum diameters at the levels of the tricuspid and mitral valves, respectively, to calculate the RV/LV ratio. Furthermore, they subjectively determined if the right ventricle and the ventricular septum appeared normal or abnormal (flattened or bowed) as well as the subjective appearance of RV dilatation. To assess IVC reflux, the cohort assessed the attenuation of contrast in the IVC and the hepatic veins. The primary objective of this study was to assess the accuracy of trainees in determining RV/LV ratio, RV dilation, IVC reflux, and septal flattening. The primary endpoints were Cohen’s kappa statistic for binary variables and the intraclass correlation coefficient (ICC) for the continuous variable of RV/LV ratio.

Results

RV/LV Ratio

We defined an elevated RV/LV ratio as ⩾1.0. The ICC was assessed. Each of our trainees was measured against the expert radiologist. Three trainees had excellent correlations, and five had good correlations (Table 1).
Table 1.

Intraclass correlation coefficients for average measurements of right ventricular/left ventricular ratio for trainees versus radiologist (n = 93)

 ICC for Average RV/LV Ratio Measurements
PGY-2 vs. radiologist0.71
PGY-2 vs. radiologist0.89
PGY-3 vs. radiologist0.81
PGY-5 vs. radiologist0.72
PGY-5 vs. radiologist0.74
PGY-5 vs. radiologist0.73
PGY-6 vs. radiologist0.65
PGY-6 vs. radiologist0.83

Definition of abbreviations: ICC = intraclass correlation coefficient; LV = left ventricular; PGY = postgraduate year; RV = right ventricular.

ICCs are interpreted as follows: <0.40 indicates poor correlation, 0.40–0.59 indicates fair correlation, 0.60–0.74 indicates good correlation, and 0.75–1.00 indicates excellent correlation.

Intraclass correlation coefficients for average measurements of right ventricular/left ventricular ratio for trainees versus radiologist (n = 93) Definition of abbreviations: ICC = intraclass correlation coefficient; LV = left ventricular; PGY = postgraduate year; RV = right ventricular. ICCs are interpreted as follows: <0.40 indicates poor correlation, 0.40–0.59 indicates fair correlation, 0.60–0.74 indicates good correlation, and 0.75–1.00 indicates excellent correlation.

Accuracy of Binary Variables

Binary variables studied included IVC reflux, RV dilatation, and septal flattening. In measuring RV dilatation, one trainee had substantial agreement with the expert radiologist, four had moderate agreement, and three had fair agreement. In measuring septal flattening, two trainees had substantial agreement, three had moderate agreement, and three had fair agreement. For IVC reflux, five trainees had substantial agreement, one had moderate agreement, one had fair agreement, and one had slight agreement (Table 2).
Table 2.

Cohen’s kappa statistics of agreement comparing residents and fellows with chest radiologist (n = 93)

 RV DilatationSeptal FlatteningIVC Reflux
PGY-2 vs. radiologist0.580.530.63
PGY-2 vs. radiologist0.380.590.04
PGY-3 vs. radiologist0.310.330.76
PGY-5 vs. radiologist0.500.430.28
PGY-5 vs. radiologist0.660.630.66
PGY-5 vs. radiologist0.480.660.53
PGY-6 vs. radiologist0.450.320.64
PGY-6 vs. radiologist0.240.250.74

Definition of abbreviations: IVC = inferior vena cava; PGY = postgraduate year; RV = right ventricular.

Kappa coefficients are interpreted as follows 0.81–1.0 indicates almost perfect agreement, 0.61–0.80 indicates substantial agreement, 0.41–0.60 indicates moderate agreement, 0.21–0.40 indicates fair agreement, 0.01–0.20 indicates slight agreement, and <0.00 indicates poor agreement.

Cohen’s kappa statistics of agreement comparing residents and fellows with chest radiologist (n = 93) Definition of abbreviations: IVC = inferior vena cava; PGY = postgraduate year; RV = right ventricular. Kappa coefficients are interpreted as follows 0.81–1.0 indicates almost perfect agreement, 0.61–0.80 indicates substantial agreement, 0.41–0.60 indicates moderate agreement, 0.21–0.40 indicates fair agreement, 0.01–0.20 indicates slight agreement, and <0.00 indicates poor agreement.

Discussion

In our study, we showed that after 1 hour of instruction, all participants could identify and measure the RV/LV ratio. ICCs were assessed and indicated good to excellent correlations. The participants had no prior training in assessing CTPA imaging. We showed that our instructional sessions were effective at various points in training, from junior resident to senior fellow. This supports our hypothesis that trainees can be taught to reliably measure RV/LV ratio on CTPA. One of the limitations of our study was that there was no “control group”: no assessment of trainees’ ability to measure RV/LV ratio beforehand or of subjects who were not involved in the study. The ICCs obtained did show good correlations but did not reach the level of experienced radiologists. A retrospective study looking at cardiovascular and thoracic radiologists’ assessments of RV parameters on CTPA consistently showed ICCs >0.95 (13). Comparatively, a recent study of artificial intelligence software measuring RV/LV ratio in patients with acute pulmonary embolism showed an ICC of 0.83 compared with a radiologist standard (14). This was defined as a “very good” correlation and is consistent with the correlation we found between our trainees and the standard. Subjective measurements were much less consistent when compared with the standard (Table 2). Measurements by trainees mostly showed “slight” to “moderate” degrees of agreement, indicating that trainees were not as consistent in identifying these variables as in measuring RV/LV ratio. Given this variability, efforts to educate trainees in risk stratifying pulmonary embolism should be more focused on assessing RV/LV ratio, a more reproducible variable. CTPA is often the first diagnostic study in the evaluation of a patient with suspected pulmonary embolism. It can be used to assess for RV strain and enlargement (5). One meta-analysis showed that an RV/LV ratio of >1.0 on computed tomography, as assessed in our study, was associated with a 2.5-fold risk of mortality (15). Higher RV/LV ratios increase specificity for decompensation (16–18) regardless of the patient’s hemodynamic stability. Therefore, RV/LV ratios of >1.0 should be used to risk stratify patients (15). This is as recommended in current clinical practice guidelines, as outlined in the 2019 European Society of Cardiology recommendations (3).

Conclusions

Measurement of RV/LV ratio on CTPA is a clinically relevant skill to risk stratify patients with acute pulmonary embolism. We demonstrated that this skill was easily taught to trainees at all levels with simple instruction and was reproducible when viewing clinical images. Developing a teaching strategy for trainees at academic institutions to measure RV/LV ratio in these patients could substantially affect patient care, triage, and resource use.
  18 in total

1.  Corrigendum to: 2014 ESC Guidelines on the diagnosis and management of acute pulmonary embolism.

Authors:  S V Konstantinides; A Torbicki; G Agnelli; N Danchin; D Fitzmaurice; N Galiè; Jsr Gibbs; M V Huisman; M Humbert; N Kucher; I Lang; M Lankeit; J Lekakis; C Maack; E Mayer; N Meneveau; A Perrier; P Pruszczyk; L H Rasmussen; T H Schindler; P Svitil; A Vonk Noordegraaf; J L Zamorano; M Zompatori
Journal:  Eur Heart J       Date:  2015-07-28       Impact factor: 29.983

2.  Automated calculation of the right ventricle to left ventricle ratio on CT for the risk stratification of patients with acute pulmonary embolism.

Authors:  Robert W Foley; Sophie Glenn-Cox; Jennifer Rossdale; Georgina Mynott; Tim A Burnett; Will J H Brown; Eleanor Peter; Benjamin J Hudson; Rob V MacKenzie Ross; Jay Suntharalingam; Graham Robinson; Jonathan C L Rodrigues
Journal:  Eur Radiol       Date:  2021-01-18       Impact factor: 5.315

Review 3.  Predictive Value of Computed Tomography in Acute Pulmonary Embolism: Systematic Review and Meta-analysis.

Authors:  Felix G Meinel; John W Nance; U Joseph Schoepf; Verena S Hoffmann; Kolja M Thierfelder; Philip Costello; Samuel Z Goldhaber; Fabian Bamberg
Journal:  Am J Med       Date:  2015-02-11       Impact factor: 4.965

4.  Pulmonary Embolism Response to Fragmentation, Embolectomy, and Catheter Thrombolysis (PERFECT): Initial Results From a Prospective Multicenter Registry.

Authors:  William T Kuo; Arjun Banerjee; Paul S Kim; Frank J DeMarco; Jason R Levy; Francis R Facchini; Kamil Unver; Matthew J Bertini; Akhilesh K Sista; Michael J Hall; Jarrett K Rosenberg; Miguel A De Gregorio
Journal:  Chest       Date:  2015-09       Impact factor: 9.410

5.  Prognostic value of right ventricular dilatation in patients with low-risk pulmonary embolism.

Authors:  Benoit Côté; David Jiménez; Benjamin Planquette; Anne Roche; Jonathan Marey; Jean Pastré; Guy Meyer; Olivier Sanchez
Journal:  Eur Respir J       Date:  2017-12-14       Impact factor: 16.671

6.  Can we use CT pulmonary angiography as an alternative to echocardiography in determining right ventricular dysfunction and its severity in patients with acute pulmonary thromboembolism?

Authors:  Gursel Cok; Mehmet Sezai Tasbakan; Naim Ceylan; Selen Bayraktaroglu; Soner Duman
Journal:  Jpn J Radiol       Date:  2012-11-21       Impact factor: 2.374

7.  Accuracy and reproducibility of CT right-to-left ventricular diameter measurement in patients with acute pulmonary embolism.

Authors:  Yvonne M Ende-Verhaar; Lucia J M Kroft; Inge C M Mos; Menno V Huisman; Frederikus A Klok
Journal:  PLoS One       Date:  2017-11-28       Impact factor: 3.240

8.  Importance of computed tomography pulmonary angiography for predict 30-day mortality in acute pulmonary embolism patients.

Authors:  Narumol Chaosuwannakit; Wannaporn Soontrapa; Pattarapong Makarawate; Kittisak Sawanyawisuth
Journal:  Eur J Radiol Open       Date:  2021-03-25

Review 9.  Right ventricular dysfunction as an echocardiographic prognostic factor in hemodynamically stable patients with acute pulmonary embolism: a meta-analysis.

Authors:  Jae Hyung Cho; Gurusaravanan Kutti Sridharan; Seon Ha Kim; Roop Kaw; Triveni Abburi; Affan Irfan; Abraham G Kocheril
Journal:  BMC Cardiovasc Disord       Date:  2014-05-06       Impact factor: 2.298

10.  Common pitfalls in statistical analysis: Measures of agreement.

Authors:  Priya Ranganathan; C S Pramesh; Rakesh Aggarwal
Journal:  Perspect Clin Res       Date:  2017 Oct-Dec
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