| Literature DB >> 35136508 |
Dhruva Sharma1, Ganapathy Subramaniam2, Neha Sharma3, Preksha Sharma4, Pooja Sharma5.
Abstract
Purpose Patients with end-stage heart failure who remain symptomatic even with exemplary medical and device therapy are treated with heart transplantation. Multitudes of endeavor have been contrived during the last decennium in the field of noninvasive tests to rule out heart transplant rejection (HTR). In spite of having supportive literature, noninvasive imaging techniques lack acceptable documentation of clinical robustness, and endomyocardial biopsy (EMB) still remains the gold standard. The aim of this review is to shed light on the existing noninvasive radiological modalities to detect rejection among heart transplant recipients. Methods A comprehensive search was conducted for this review article on the basis of literature available including scientific databases of PubMed, Embase, and Google Scholar, using keywords of "Heart transplantation," "Acute allograft rejection," "Arrhythmias," "Echocardiography," "Speckle tracking echocardiography," and "Cardiac magnetic resonance imaging" from inception until September 2020. Results After preliminary screening of the databases, details regarding existent noninvasive radiological modalities to detect HTR were gathered and compiled in this review article. Currently, deformation imaging using speckle tracking and T2 time using cardiac magnetic resonance imaging can serve as screening tools based on which further invasive investigations can be planned. Standardization of blood-based and imaging modalities as screening and possible diagnostic tools for rejection would have obvious clinical and financial benefits in the care of growing number of post heart transplant recipients in our country. Conclusion Diagnosis of allograft rejection in heart transplant recipients through noninvasive techniques is demanding. To unravel the potential of noninvasive radiological modalities that can serve as a standard-of-care test, a prospective multicentric study randomizing noninvasive modality as first strategy versus current EMB-based gold standard of care is the need of the hour. Indian Radiological Association. This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. ( https://creativecommons.org/licenses/by-nc-nd/4.0/ ).Entities:
Keywords: acute allograft rejection; cardiac magnetic resonance imaging; echocardiography; heart transplantation; speckle-tracking echocardiography
Year: 2022 PMID: 35136508 PMCID: PMC8817810 DOI: 10.1055/s-0041-1741098
Source DB: PubMed Journal: Indian J Radiol Imaging ISSN: 0970-2016
Histopathological grading of acute cellular rejection by International Society for Heart and Lung Transplantation
| Grade 0 | No rejection |
| Grade 1 R (mild) | Interstitial and/or perivascular infiltrate with up to one focus of myocyte damage (grades 1A, 1B, and 2 in 1990 system) |
| Grade 2 R (moderate) | Two or more foci of infiltrates with associated myocyte damage (grade 3A in 1990 system) |
| Grade 3 R (severe) | Diffuse infiltrate with multifocal myocyte damage, with or without edema, hemorrhage, or vasculitis (grades 3B and 4 in 1990 system) |
Antibody-mediated rejection (AMR) grading: pathologic diagnosis of cardiac AMR
| Grade | Findings |
|---|---|
| pAMR 0 | Negative histologic and immunopathologic findings |
|
pAMR 1 (H
+
)
| Histologic findings are present and immunopathologic findings are negative |
| pAMR 2 | Presence of both histologic and immunopathologic findings |
| pAMR 3 | Presence of severe histologic plus immunopathologic findings |
Fig. 1Image showing ventricular function in a post heart transplant recipient using three-dimensional speckle-tracking echocardiography in “Bull's eye plot” fashion showing reduced global strain; this patient had acute cellular rejection confirmed by endomyocardial biopsy.
Fig. 2( A–C ) Images showing circumferential, longitudinal, and radial strain calculated by automated two-dimensional speckle tracking. Note that the radial strain is blue predominantly as the final length is higher than the initial length resulting in positive value; both in longitudinal and circumferential strain, the final length is smaller than the initial length resulting in negative value and varying degrees of red color. The strain represents the final length minus the initial length, divided by the initial length. This image is from a patient with acute cellular rejection, 18 months post heart transplantation showing reduction in longitudinal and circumferential strain and preservation of radial strain.
Studies showing echocardiography as a noninvasive imaging modality in routine post heart transplant rejection surveillance
| Reference study | No. of heart transplant recipients | Type of study | Parameters studied | Inference from the study |
|---|---|---|---|---|
|
Tseng et al (2018)
| 65 adult heart transplant recipients with preserved ejection fraction (>55%) | Retrospective study, single centered | LV-GLS, GLSR, GCS, and GCSR |
Increased early diastolic longitudinal strain rate (
|
|
Antończyk et al (2018)
| 45 heart transplant recipients | Prospective study, single centered | RV FW, | RV FW ≤ 16.8% and 4CH LS ≤ 13.8% |
|
Sade et al (2019)
| 49 heart transplant recipients | Retrospective study, single centered | 16-segment - GLS and CS, later on validated with CMR | T1 time ?1,090 milliseconds, extracellular volume ?32%, GLS >-14%, and global circumferential strain ?-24% had 100% sensitivity and 100% NPV to define grade ?2 rejection; the combination of GLS >-16% and T1 time ?1,060 milliseconds defined grade 1 rejection with 91% sensitivity and 92% NPV |
|
Mingo-Santos et al (2015)
| 34 heart transplant recipients | Prospective study, single centered | Speckle-tracking-derived LV longitudinal, radial, and circumferential strain; and global and free wall right ventricular (RV) longitudinal strain | Lower absolute values of global LV longitudinal strain and free wall RV |
|
Clemmensen et al (2014)
| 34 heart transplant recipients | Retrospective study, single centered | GLS |
A significant difference in GLS was observed comparing the groups with 0R (−15.5%; 95% confidence interval [CI], –16.2% to –14.2%), 1R (−15.3%; 95% CI, –16.0% to –14.6%), and 2R (−13.8%; 95% CI, –14.6% to –12.9%) rejection (
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|
Ruiz Ortiz et al (2015)
| 20 heart transplant recipients | Prospective study, single centered | Average radial strain |
Significantly lower values of average radial strain were found with higher grades of ACR (29.1 ? 7.7%, 23.2 ? 8.5%, and 14.3 ? 8.8% for grades 0R, 1R, and 2R of ACR,
|
|
Clemmensen et al (2015)
| 178 heart transplant recipients | Retrospective study, single centered | GLS |
Significantly decreasing GLS compared with rejection groups (GLS group 1: −16.8 ? 2.4 (%); GLS group 2: −15.9 ? 3.3 (%); GLS group 3: −14.5 ? 2.9 (%),
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Abbreviations: 4CH LS, 4-chamber longitudinal strain; AUC, area under the curve; CMR, cardiac magnetic resonance imaging; CS, circumferential strain; GCS, global circumferential strain; GCSR, global circumferential strain rates; GLS, global longitudinal strain; GLSR, global longitudinal strain rate; LV, left ventricular; NPV, negative predictive value; PPV, positive predictive value; RV FW, RV free wall longitudinal strain; SRS, Strain Rejection Score.
Studies projecting CMR as a noninvasive imaging modality in routine post heart transplant rejection surveillance
| Reference study | No. of heart transplant recipients | Parameters studied | Inference from the study |
|---|---|---|---|
|
Krieghoff et al (2014)
| 146 examinations in 73 patients | ER | Sensitivity, specificity, PPV, and NPV were as follows: ER: 63%, 78%, 30%, and 93%; gRE: 63%, 70%, 24%, and 93%; LGE: 68%, 36%, 13%, and 87%; with the combination of ER and gRE with at least one out of two positive: 84%, 57%, 23%, and 96%; ROC analysis revealed an AUC of 0.724 for ER and 0.659 for gRE |
|
Dolan et al (2019)
| 97 CMR studies from 58 heart transplant recipients and 14 controls | Global left ventricular function and myocardial T2, T1, and ECV |
Myocardial T2 was significantly higher in patients with past ACAR compared with those with no ACAR (51.0 ? 3.8 milliseconds versus 49.2 ? 4.0 milliseconds;
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|
Butler et al (2014)
| 60 participants with 73 studies | T2 relaxation time and right ventricular end-diastolic volume index | Combining threshold right ventricular end-diastolic volume index and edema values predicted a positive EMB with very good accuracy: sensitivity, 93%; specificity, 78%; PPV, 52%; and NPV, 98%; CMR was more sensitive than EMB at predicting clinical rejection (sensitivity of 67% versus 58%) |
|
Vermes et al (2018)
| 20 participants with 31 studies | Global and segmental T2 and T1 values were measured | Patients with acute rejection had significantly higher global T2 values at 3 levels: (AUC) for each level (basal, median, apical level) was 0.83, 0.79, and 0.78, respectively, and higher ECV at basal level: AUC = 0.84; the sensitivity, specificity, and diagnosis accuracy for basal T2 (cut off: 57.7 milliseconds) were 71, 96, and 90%, respectively; and for basal ECV: (cutoff 32%) were 86, 85, and 85%, respectively |
|
Imran et al (2019)
| 112 biopsies | T1 maps were acquired at 1.5-T | Using a T1 cutoff value of 1,029 milliseconds, the sensitivity, specificity, and NPV were 93, 79, and 99%, respectively |
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Sethi et al (2020)
| 11 pediatric patients, 18 studies | Volumetry, flow, and T2 mapping |
The five rejection cases had significantly higher mean T2 values compared with cases without rejection (58.3 ? 4 milliseconds versus 53 ? 2 milliseconds,
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Abbreviations: ACAR, acute cardiac allograft rejection; AUC, area under the curve; CMR, cardiac magnetic resonance imaging; ECV, extracellular volume fraction; EMB, endomyocardial biopsy; ER, edema ratio; gRE, global relative enhancement; LGE, late gadolinium enhancement; NPV, negative predictive value; PPV, positive predictive value; ROC analysis, receiver operating characteristic analysis.