1. Introduction
Amyloidosis encompasses a group of diseases characterized by the deposition of misfolded proteins in various tissues, leading to disruption of tissue architecture and dysfunction [
1]. Cardiac involvement, known as cardiac amyloidosis (CA), carries the worst prognosis [
2]. CA primarily results from the infiltration of the myocardium by either immunoglobulin light chain fibrils (AL) or transthyretin fibrils (ATTR), causing restrictive cardiomyopathy and, if left untreated, eventually leading to death [
3]. AL is derived from a misfolded N-terminal fragment of a monoclonal immunoglobulin light chain produced by plasma cells in the bone marrow [
4]. ATTR, on the other hand, is the misfolded form of hepatically-derived transthyretin (TTR) protein, a carrier of thyroxine and retinol-binding protein in the blood; this misfolding can be due to a genetic mutation (hATTR) or occur spontaneously (wtATTR). It is a less aggressive disease than AL [
4].
CA shares many clinical features with other cardiac diseases, such as hypertrophic cardiomyopathy and aortic stenosis, often resulting in misdiagnosis or underdiagnosis. It has been identified in approximately 10% of patients with hypertrophic cardiomyopathy and those with aortic stenosis, as well as in about 13% of patients with heart failure with preserved ejection fraction [
5,
6,
7]. Recent improvements in diagnostic imaging and heightened clinical awareness have revealed a significant prevalence of CA, particularly ATTR, in the elderly population [
8]. The therapeutic landscape has also advanced remarkably, with disease-modifying therapies now available that can alter the disease course and improve survival when initiated early.
However, there remains a critical need for early and accurate detection of CA to ensure patients can benefit from these emerging therapies. This review aims to explore advancements in and the role of multimodality imaging in the diagnostic workup of CA.
2. Pretest Probability of CA
The effectiveness of initial imaging techniques, such as echocardiography, cardiac tomography (CT), and cardiac magnetic resonance (CMR), in diagnosing CA hinges on the pretest probability of the condition. Delays in diagnosing CA often stem from limited knowledge and inadequate physician knowledge of its clinical features. Suspicion of ATTR typically arises in elderly patients hospitalized for congestive heart failure or bradyarrhythmia who display unexplained left ventricular hypertrophy (LVH) without hypertension. It may also present with low-flow, low-gradient aortic stenosis [
9]. Persistent elevation of serum troponin levels is another indicator. A common but not universal sign in advanced CA is the discrepancy between low-voltage electrocardiogram (EKG) readings and LVH observed on echocardiography. This incongruity is due to amyloid fibrils replacing myocardial cells. However, similar EKG-echocardiography discordance can also be seen in conditions like obesity, emphysema, severe hypothyroidism, and connective tissue diseases, where hypertension or valvulopathy is present. Other typical EKG findings in CA include pseudo-infarct patterns, and different types of heart blockades such as first-degree atrioventricular and fascicular blocks [
10].
Identifying non-cardiac clues is crucial for improving the pre-imaging probability of CA, as these symptoms often precede cardiac manifestations by several years. Carpal tunnel syndrome is particularly significant, frequently occurring in men with ATTR and appearing 5-10 years before cardiac symptoms [
11]. Additional musculoskeletal indicators include lumbar spinal stenosis, spontaneous biceps tendon rupture, and a history of orthopedic surgeries [
12,
13,
14].
Approximately 10% of patients undergoing carpal tunnel surgery have amyloid deposits in their tenosynovial tissue. [
11] Severe spinal stenosis, biceps tendon rupture, trigger finger, and joint arthropathies are common in CA, especially in ATTR [
14,
15]. Peripheral neuropathy, proteinuria, dysautonomia, and macroglossia are more frequently associated with AL amyloidosis. Clinically, CA patients often present with dyspnea, fatigue, and edema due to heart failure, or syncope associated with bradyarrhythmias. Chronic elevations in cardiac biomarkers, including troponin and brain natriuretic peptide, can also raise suspicion for CA.
3. Echocardiography
Echocardiography is usually the first diagnostic tool in the evaluation of CA patients that often present with symptoms of dyspnea and heart failure [
16]. It can detect features such as left and right ventricular wall thickening, biatrial enlargement, interatrial septal thickening, thickened atrioventricular valves, pericardial effusion, and impaired left and right ventricular strain on advanced imaging technique that raise suspicion for CA warranting further work up [
17,
18].
3.1. Left Ventricular Features and Strain Analysis
CA typically manifests as diastolic heart failure with elevated filling pressures, increased wall thickness, and reduced chamber size [
19]. This results from the deposition of amyloid fibrils, which disrupt the myocardial wall and lead to thickened myocardium. Left ventricular hypertrophy (LVH) is a predominant echocardiographic finding in CA, appearing symmetrically in AL and asymmetrically in ATTR [
20]. Certain echocardiographic features help differentiate CA from other hypertrophic cardiomyopathies, such as LV wall thickness exceeding 12 mm and grade 2 or higher diastolic dysfunction, in the absence of aortic valve disease or severe uncontrolled hypertension [
21]. Additionally, amyloid deposition gives the myocardium a distinctive speckled or granular appearance on 2-D echocardiography [
17,
22].
In early stages, diastolic parameters transition from low E-wave and high A-wave velocities, a decreased E/A ratio, and normal deceleration time to later stages where there is a normal E-wave, small A-wave, high E/A ratio, and rapid deceleration time [
18]. Tissue Doppler commonly reveals greatly reduced mitral and tricuspid e’ velocities and a high E/e’ ratio, which suggest elevated filling pressures even in the absence of noticeable LV wall thickening, indicative of a restrictive myocardial pattern [
18,
23]. A restrictive pattern on tissue Doppler imaging of the mitral annulus, characterized by e’, a’, and s’ velocities below 5 cm/s and accompanied by pericardial effusion, strongly suggests CA [
19]. AL often shows a restrictive pattern earlier in its progression compared to ATTR. Furthermore, a small S-wave on tissue Doppler is indicative of advanced disease [
19].
Speckle tracking echocardiography (STE) reveals significantly impaired left ventricular global longitudinal strain (LVGLS) despite a preserved ejection fraction, indicating a poor prognosis [
18]. The basal and mid LV segments exhibit more severe LVGLS impairment compared to the apical segment, resulting in a distinctive “cherry on top” appearance on the bull’s eye plot [
24]. A relative regional strain ratio above 1 is highly sensitive and specific for diagnosing CA [
22]. AL shows worse LVGLS than ATTR for a given wall thickness [
25]. Research has found that an LVEF/GLS ratio greater than 4.95 is a better screening tool, with 75% sensitivity and 66% specificity [
26]. Additionally, three-dimensional (3-D) STE, which incorporates parameters like global area strain and global circumferential strain, offers enhanced sensitivity for identifying CA features and assessing the disease prognosis [
17].
3.2. Left Atrial Features and Strain Analysis
Biatrial enlargement, commonly seen due to elevated filling pressures, serves as an imaging marker for early subclinical changes in ATTR [
27]. Amyloid fibril deposition in the atrial myocardium causes atrial septal thickening, with measurements exceeding 6 mm having a 100% specificity for diagnosing CA [
17]. Additionally, STE can detect atrial cardiopathy caused by amyloid deposition, as evidenced by impaired left atrial (LA) strain in all phases compared to age-matched controls [
28]. The LA reservoir strain is becoming a valuable indicator for diastolic dysfunction, with both LA reservoir and contractile strain proving to be superior predictors of elevated left ventricular filling pressure compared to LA volume and conventional Doppler parameters [
29]. This underscores the importance of LA strain analysis in the early detection of CA, enabling the timely initiation of therapies for improved patient outcomes. In patients with ATTR, LA reservoir and contractile strain are lower than in those with AL or those without CA, even in the absence of atrial arrhythmias [
30]. Moreover, LA strain can distinguish CA from other hypertrophic cardiomyopathies (HCM), as CA patients exhibit lower LA strain than those with HCM despite having a preserved ejection fraction [
28]. Atrial dysfunction in CA increases the risk of thromboembolic events, even in patients who are in sinus rhythm [
31]. Additionally, LA reservoir strain serves as an independent predictor of cardiovascular-related death and heart failure hospitalization in patients with ATTR [
32].
3.3. Right Ventricular Features and Strain Analysis
CA also affects the right ventricular (RV) chamber and the RV myocardial walls. This condition results in increased RV wall thickness, basal diameter, and inferior vena cava size, along with reduced chamber volume and RV systolic function as measured by tricuspid annular plane systolic excursion (TAPSE) [
33]. Unexplained RV wall thickening exceeding 5 mm and reduced function are indicative of CA [
17]. Both STE and traditional echocardiography have demonstrated impaired RV free wall longitudinal strain with apical sparing and reduced TAPSE, respectively [
21]. Among CA subtypes, AL exhibits more pronounced apical sparing compared to ATTR. An RV apical/(basal+middle) ratio greater than 0.8 is reported to have a sensitivity of 97.8%, specificity of 90.0%, and accuracy of 94.7% in distinguishing AL from ATTR [
34].
4. Cardiac Magnetic Resonance Imaging
Cardiac magnetic resonance (CMR) is pivotal in the precise and detailed assessment of cardiac tissue and morphology, offering high spatial resolution and tissue contrast differentiation [
3]. It is the gold standard in the morphological and biomechanical assessment of cardiac chambers with superiority in myocardial tissue characterization [
35]. While not the primary diagnostic modality due to cost and expertise requirements, CMR serves as a valuable adjunct to echocardiography in identifying CA and evaluating treatment response and prognosis. It is able to identify the extracellular expansion of myocardium by the deposition of amyloid fibrils through the typical global and predominant subendocardial distribution of the late gadolinium enhancement (LGE) with a sensitivity of 85% and specificity of 92% [
36]. In addition, a key characteristic considered pathognomonic for CA is the retention of LGE by the amyloid filled expanded extracellular matrix to a similar extent as the blood pool. This result in overlapping T1 recovery curves on the inversion T1 scout sequence conducted before LGE imaging, making it challenging to identify the T1 null point of healthy myocardium necessary for accurate LGE imaging [
37]. Although CMR imaging is unable to explicitly distinguish between ATTR and AL, LGE is typically more extensive in ATTR and patients with ATTR often exhibit a transmural pattern of LGE with involvement of the RV wall [
38]. Moreover, diffuse LGE offers additional prognostic value beyond cardiac biomarker staging in CA, with transmural LGE being linked to a poor prognosis. [
39] Despite the numerous advantages of LGE, it has limitations, including its inability to quantify amyloid burden. Additionally, its use is restricted in patients with renal impairment, specifically those with a glomerular filtration rate (GFR) of less than 30 mL/min/1.73 m², due to the risk of developing nephrogenic systemic fibrosis, a potentially fatal condition [
40].
5. T1 Mapping
T1 mapping provides a detailed understanding of myocardial response to CA by accurately quantifying longitudinal relaxation times on a pixel-by-pixel basis. It has the advantage over LGE by quantifying the amyloid burden also does not need contrast, therefore, native T1 mapping can safely be used in kidney disease [
41]. Native T1 shows elevated levels in the early stages of CA even before ventricular thickening or detectable LGE appears [
42]. In fact, elevated native (pre-contrast) myocardial T1 demonstrates high diagnostic accuracy for CA with values below 1,036 ms and above 1,164 ms showing 98% negative predictive and 98% positive predictive values for CA, respectively [
42]. This makes native T1 mapping a useful tool in situations where the use of contrast agents is contraindicated. Beyond facilitating CA diagnosis, native T1 mapping is crucial for monitoring disease progression. Poor prognosis is linked to pre-contrast T1 times exceeding 1044 ms for AL and 1077 ms for ATTR [
43,
44]. Furthermore, T1 mapping can estimate the myocardial extracellular volume (ECV) fraction, acting as a surrogate for quantifying amyloid burden and correlating with disease severity in both AL and ATTR. ECV measurement is also effective in tracking treatment response in AL patients [
45,
46].
6. T2 Mapping
T2 mapping complements T1, LGE, and ECV findings by visualizing and quantifying myocardial edema. It is sensitive to edema associated with myocyte toxicity, with elevated T2 times reflecting the degree of myocyte edema [
47]. Although T2 times are elevated in both ATTR and AL, untreated AL patients exhibit higher T2 values compared to treated AL and ATTR patients [
47]. This is likely due to greater edema caused by the direct toxicity of light chains in AL [
48]. Consequently, T2 mapping is particularly relevant for AL prognostication [
47]. Moreover, the utility of elevated T2 increases in quantifying and prognosticating AL, as most other features of disease severity, such as LV mass, wall thickness, LGE transmural extent, and RV involvement, are more commonly associated with ATTR amyloid [
38].
Overall, CMR with its multi-faceted approach, including LGE, T1 mapping, ECV measurement, T2 mapping presents a comprehensive toolkit for the precise diagnosis, characterization, and prognostication of CA, ultimately guiding therapeutic strategies and improving patient outcomes.
7. Cardiac Computerized Tomography Scan
Cardiac CT is a noninvasive diagnostic modality that provides comprehensive information on cardiac chamber morphology, perfusion, strain, and scar presence. It quantifies the ECV fraction, typically performed with precontrast and delayed-phase postcontrast imaging [
49]. Previous studies have shown that CT performs well in measuring ECV fraction compared with MRI [
50]. Cardiac CT can also distinguish CA from hypertrophic cardiomyopathy (HCM), as the mean ECV is significantly greater in CA (54.7% ± 9.7) compared to HCM (34.6% ± 9.1) and normal myocardium (35.9% ± 9.9). Additionally, higher ECV values correlate with worse outcomes in the CA group [
51].
ECV fraction has also been used to assess the myocardium in various procedures and disease processes, such as aortic valve replacement, atrial fibrillation ablation, hemodialysis, chemotherapy, and heart failure [
49]. The process involves normalizing the pre- and postcontrast imaging to blood hematocrit values to obtain the ECV fraction [
52]. Kidoh et al. demonstrated high sensitivity (90%) and specificity (92%) of CT-derived ECV fraction in identifying CA. Furthermore, the myocardium-to-lumen signal ratio showed a sensitivity of 88% and a specificity of 92% for detecting CA [
53]. This technique avoids the need for unenhanced CT and aids in diagnosing CA when hematocrit values are unavailable or laboratory tests are delayed.
However, caution is necessary as the ECV fraction can be elevated in conditions causing myocardial fibrosis, infarction, inflammation, and edema [
49]. Additionally, CT imaging of the myocardium is limited by motion artifacts and lower image contrast compared with MRI. Despite these limitations, cardiac CT is fast, widely available, and valuable for raising suspicion of CA, particularly when patients undergo cardiac CT for other evaluations, such as planning for transcatheter aortic valve replacement in low-flow low-gradient aortic stenosis patients. It is also beneficial for patients who cannot undergo cardiac MRI due to the presence of cardiac devices or prostheses that preclude MRI.
Further research is needed to maximize the utility of cardiac CT, incorporate it into diagnostic algorithms for CA, and define ECV fraction thresholds to aid in the diagnosis of CA.
8. Nuclear Scintigraphy with Bone-Avid Tracers
Nuclear scintigraphy has revolutionized the diagnostic approach for CA. This non-invasive method has significantly reduced the reliance on endomyocardial biopsies, enabling more widespread detection of CA. A multicenter study that comprised of >1000 patients with suspected CA demonstrated the high sensitivity and specificity of 99mTc-labeled bone-seeking tracers in identifying ATTR amyloidosis in the absence of paraproteinemia [
54]. In addition, a meta-analysis of six studies with > 500 patients demonstrated that bone scintigraphy using technetium-labeled radiotracers had a high diagnostic yield, exhibiting a sensitivity of 92.2% and a specificity of 95.4% [
55]. In the United States, the 99mTc-pyrophosphate (99mTc-PYP) tracer is predominantly used, whereas in Europe, 99mTc-hydroxymethylene diphosphonate (99mTc-HMDP) and 99mTc-DPD are more common. These tracers exhibit comparable diagnostic efficacy.
Notably, bone scintigraphy is effective only for detecting ATTR, while histological confirmation is necessary for diagnosing AL. The selective affinity of bone-seeking tracers for ATTR over AL is attributed to their calcium-binding properties. Research indicates that greater density of microcalcifications exists in ATTR compared to AL, which potentially contributes to this selectivity, regardless of age, cardiac function, and serum calcium and creatinine levels [
56].
Interpreting nuclear scintigraphy involves a semi-quantitative approach, visually grading tracer uptake relative to bone uptake in the rib cage. The grading system ranges from 0 for no myocardial uptake, to 1 for mild uptake (less than in bone), 2 for uptake equal to bone, and 3 for substantial uptake (greater than in bone) [
57]. In a multicenter study with a large cohort of biopsy-proven ATTR patients, 100% specificity and positive predictive value for ATTR were confirmed when grade 2 or 3 uptake was observed without paraproteinemia [
54].
Quantitative assessment entails delineating circular regions of interest over the heart and mirrored on the contralateral chest wall. Radiotracer uptake is quantified using the heart-to-contralateral lung (H/CL) ratio, where a ratio exceeding 1.5 suggests ATTR diagnosis, and a ratio ≥1.6 is associated with poor survival [
58,
59].
It’s crucial to note that nuclear scintigraphy, especially when showing a visual grade of 2 or 3 indicating myocardial uptake, boasts high sensitivity (>99%) for ATTR but exhibits a relatively lower specificity of 82-86%. This diminished specificity stems from the fact that patients with AL can also display grades of 1 or 2 [
58,
59,
60]. Therefore, bone scintigraphy alone cannot definitively diagnose ATTR or exclude AL. Standard practice involves conducting urine and serum immunofixation electrophoresis and obtaining serum free light chains and the kappa/lambda ratio to rule out AL disease. When these tests yield negative results for AL, the specificity of nuclear scintigraphy rises to 100%. Consequently, a confident diagnosis of ATTR can be made without histological confirmation in a patient exhibiting a typical clinical phenotype (such as a history of bilateral carpal tunnel surgery), consistent echocardiographic and/or CMR features of CA, grade 2 or 3 tracer uptake on 99mTc-PYP scintigraphy, and no detectable monoclonal gammopathy in the blood and urine.
9. Future Directions
While multimodality imaging has played a crucial role in diagnosing CA, the only modality that can distinguish ATTR from AL is nuclear scintigraphy utilizing bone-seeking tracers. However, AL patients can also exhibit mild tracer uptake, making it impossible to differentiate between the two predominant CA subtypes on the scintigraphy, especially in the presence of paraproteinemia. Hence, biopsy becomes mandatory in such circumstances, thereby necessitating further research in the area to discover imaging-based biomarkers and radiotracers that could effectively differentiate between the two CA subtypes noninvasively even in the presence of paraproteinemia.
Another limitation of nuclear scintigraphy is the rare ATTR variants that show grade 0 or 1 on planar image and do not demonstrate tracer uptake. The suspicion for CA in these scenarios is often based on clinical phenotype in conjunction with echocardiographic and/or CMR features, thereby prompting endomyocardial biopsy to confirm hATTR. The precise mechanism(s) through which these certain hATTR fibrils do not exhibit tracer uptake remains unclear, and further research is needed in this area.
CMR-based markers, particularly ECV, have excellent prognostic utility. There is a need to incorporate these well established imaging-based markers into the existing CA staging systems and prognostic algorithms to further refine them.
10. Conclusions
The advent of advanced imaging modalities has significantly transformed the detection and management of CA. Echocardiography frequently serves as the initial test that raises suspicion for CA, especially in patients with high pretest probability based on comorbid conditions, cardiac biomarkers, and EKG findings. Cardiac CT and MRI are instrumental in distinguishing CA from other causes of hypertrophic cardiomyopathy and infiltrative diseases, while also providing valuable prognostic information and monitoring disease progression through extracellular volume (ECV) measurements. Nuclear scintigraphy with bone-avid tracers, such as Tc-99m PYP scintigraphy, has a high diagnostic yield for ATTR in the absence of paraproteinemia, often eliminating the need for an endomyocardial biopsy. Collectively, these imaging advancements have been pivotal in the accurate identification, quantification of disease burden, tracking of disease progression, and guiding the management and treatment response of CA, thereby improving patient outcomes.
Funding
This research received no external funding.
Conflicts of Interest
The authors declare no conflict of interest.
References
- Merlini, G.; Bellotti, V. Molecular Mechanisms of Amyloidosis. New Engl. J. Med. 2003, 349, 583–596. [Google Scholar] [CrossRef] [PubMed]
- Buxbaum, J.; Jacobson, D.R.; Tagoe, C.; Alexander, A.; Kitzman, D.W.; Greenberg, B.; Thaneemit-Chen, S.; Lavori, P. Transthyretin V122I in African Americans With Congestive Heart Failure. J. Am. Coll. Cardiol. 2006, 47, 1724–1725. [Google Scholar] [CrossRef]
- Masri, A.; Bukhari, S.; Eisele, Y.S.; Soman, P. Molecular Imaging of Cardiac Amyloidosis. J. Nucl. Med. 2020, 61, 965–970. [Google Scholar] [CrossRef] [PubMed]
- Siddiqi, O.K.; Ruberg, F.L. Cardiac amyloidosis: An update on pathophysiology, diagnosis, and treatment. Trends Cardiovasc. Med. 2018, 28, 10–21. [Google Scholar] [CrossRef]
- Maurizi, N.; Rella, V.; Fumagalli, C.; Salerno, S.; Castelletti, S.; Dagradi, F.; Torchio, M.; Marceca, A.; Meda, M.; Gasparini, M.; et al. Prevalence of cardiac amyloidosis among adult patients referred to tertiary centres with an initial diagnosis of hypertrophic cardiomyopathy. Int. J. Cardiol. 2020, 300, 191–195. [Google Scholar] [CrossRef] [PubMed]
- Castaño, A.; Narotsky, D.L.; Hamid, N.; Khalique, O.K.; Morgenstern, R.; DeLuca, A.; Rubin, J.; Chiuzan, C.; Nazif, T.; Vahl, T.; et al. Unveiling transthyretin cardiac amyloidosis and its predictors among elderly patients with severe aortic stenosis undergoing transcatheter aortic valve replacement. Eur. Hear. J. 2017, 38, 2879–2887. [Google Scholar] [CrossRef]
- González-López, E.; Gallego-Delgado, M.; Guzzo-Merello, G.; de Haro-Del Moral, F.J.; Cobo-Marcos, M.; Robles, C.; Bornstein, B.; Salas, C.; Lara-Pezzi, E.; Alonso-Pulpon, L.; et al. Wild-type transthyretin amyloidosis as a cause of heart failure with preserved ejection fraction. Eur. Heart J. 2015, 36, 2585–2594. [Google Scholar] [CrossRef]
- Gilstrap, L.G.; Dominici, F.; Wang, Y.; El-Sady, M.S.; Singh, A.; Di Carli, M.F.; Falk, R.H.; Dorbala, S. Epidemiology of Cardiac Amyloidosis–Associated Heart Failure Hospitalizations Among Fee-for-Service Medicare Beneficiaries in the United States. Circ. Hear. Fail. 2019, 12, e005407. [Google Scholar] [CrossRef]
- Nitsche, C.; Scully, P.R.; Patel, K.P.; Kammerlander, A.A.; Koschutnik, M.; Dona, C.; Wollenweber, T.; Ahmed, N.; Thornton, G.D.; Kelion, A.D.; et al. Prevalence and Outcomes of Concomitant Aortic Stenosis and Cardiac Amyloidosis. J. Am. Coll. Cardiol. 2021, 77, 128–139. [Google Scholar] [CrossRef]
- Murtagh, B.; Hammill, S.C.; Gertz, M.A.; Kyle, R.A.; Tajik, A.J.; Grogan, M. Electrocardiographic findings in primary systemic amyloidosis and biopsy-proven cardiac involvement. Am. J. Cardiol. 2005, 95, 535–537. [Google Scholar] [CrossRef]
- Sperry, B.W.; Reyes, B.A.; Ikram, A.; Donnelly, J.P.; Phelan, D.; Jaber, W.A.; Shapiro, D.; Evans, P.J.; Maschke, S.; Kilpatrick, S.E.; et al. Tenosynovial and Cardiac Amyloidosis in Patients Undergoing Carpal Tunnel Release. J. Am. Coll. Cardiol. 2018, 72, 2040–2050. [Google Scholar] [CrossRef] [PubMed]
- Maurer, M.S.; Smiley, D.; Simsolo, E.; Remotti, F.; Bustamante, A.; Teruya, S.; Helmke, S.; Einstein, A.J.; Lehman, R.; Giles, J.T.; et al. Analysis of lumbar spine stenosis specimens for identification of amyloid. J. Am. Geriatr. Soc. 2022, 70, 3538–3548. [Google Scholar] [CrossRef] [PubMed]
- Rubin, J.; et al. Hip and knee arthroplasty are common among patients with transthyretin cardiac amyloidosis, occurring years before cardiac amyloid diagnosis: Can we identify affected patients earlier? Amyloid 2017, 24, 226–230. [Google Scholar] [CrossRef]
- Geller, H.I.; Singh, A.; Alexander, K.M.; Mirto, T.M.; Falk, R.H. Association Between Ruptured Distal Biceps Tendon and Wild-Type Transthyretin Cardiac Amyloidosis. JAMA 2017, 318, 962–963. [Google Scholar] [CrossRef]
- Eldhagen, P.; Berg, S.; Lund, L.; Sörensson, P.; Suhr, O.; Westermark, P. Transthyretin amyloid deposits in lumbar spinal stenosis and assessment of signs of systemic amyloidosis. J. Intern. Med. 2020, 289, 895–905. [Google Scholar] [CrossRef]
- McDonagh, T.A.; Metra, M.; Adamo, M.; Gardner, R.S.; Baumbach, A.; Böhm, M.; Burri, H.; Butler, J.; Čelutkienė, J.; Chioncel, O.; et al. 2021 ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure. Eur Heart J. 2021, 42, 3599–3726. [Google Scholar] [CrossRef]
- Liang, S.; Liu, Z.; Li, Q.; He, W.; Huang, H. Advance of echocardiography in cardiac amyloidosis. Hear. Fail. Rev. 2023, 28, 1345–1356. [Google Scholar] [CrossRef] [PubMed]
- Dorbala, S., S. Cuddy, and R. H. Falk, How to Image Cardiac Amyloidosis: A Practical Approach. JACC Cardiovasc Imaging, 2020, 13, 1368–1383. [Google Scholar]
- Cuddy, S.A.; Chetrit, M.; Jankowski, M.; Desai, M.; Falk, R.H.; Weiner, R.B.; Klein, A.L.; Phelan, D.; Grogan, M. Practical Points for Echocardiography in Cardiac Amyloidosis. J. Am. Soc. Echocardiogr. 2022, 35, A31–A40. [Google Scholar] [CrossRef]
- Martinez-Naharro, A.; Baksi, A.J.; Hawkins, P.N.; Fontana, M. Diagnostic imaging of cardiac amyloidosis. Nat. Rev. Cardiol. 2020, 17, 413–426. [Google Scholar] [CrossRef]
- Dorbala, S.; Ando, Y.; Bokhari, S.; Dispenzieri, A.; Falk, R.H.; Ferrari, V.A.; Fontana, M.; Gheysens, O.; Gillmore, J.D.; Glaudemans, A.W.J.M.; et al. ASNC/AHA/ASE/EANM/HFSA/ISA/SCMR/SNMMI Expert Consensus Recommendations for Multimodality Imaging in Cardiac Amyloidosis: Part 2 of 2—Diagnostic Criteria and Appropriate Utilization. Circ. Cardiovasc. Imaging 2021, 14. [Google Scholar] [CrossRef] [PubMed]
- Bashir, Z.; Chen, E.W.; Tori, K.; Ghosalkar, D.; Aurigemma, G.P.; Dickey, J.B.; Haines, P. Insight into different phenotypic presentations of heart failure with preserved ejection fraction. Prog. Cardiovasc. Dis. 2023, 79, 80–88. [Google Scholar] [CrossRef] [PubMed]
- Rapezzi, C.; Aimo, A.; Barison, A.; Emdin, M.; Porcari, A.; Linhart, A.; Keren, A.; Merlo, M.; Sinagra, G. Restrictive cardiomyopathy: Definition and diagnosis. Eur. Hear. J. 2022, 43, 4679–4693. [Google Scholar] [CrossRef] [PubMed]
- Bravo, P.E.; Fujikura, K.; Kijewski, M.F.; Jerosch-Herold, M.; Jacob, S.; El-Sady, M.S.; Sticka, W.; Dubey, S.; Belanger, A.; Park, M.-A.; et al. Relative Apical Sparing of Myocardial Longitudinal Strain Is Explained by Regional Differences in Total Amyloid Mass Rather Than the Proportion of Amyloid Deposits. JACC: Cardiovasc. Imaging 2018, 12, 1165–1173. [Google Scholar] [CrossRef] [PubMed]
- Quarta, C.C.; Solomon, S.D.; Uraizee, I.; Kruger, J.; Longhi, S.; Ferlito, M.; Gagliardi, C.; Milandri, A.; Rapezzi, C.; Falk, R.H. Left Ventricular Structure and Function in Transthyretin-Related Versus Light-Chain Cardiac Amyloidosis. Circulation 2014, 129, 1840–1849. [Google Scholar] [CrossRef] [PubMed]
- Kyrouac, D.; Schiffer, W.; Lennep, B.; Fergestrom, N.; Zhang, K.W.; Gorcsan, J.; Lenihan, D.J.; Mitchell, J.D. Echocardiographic and clinical predictors of cardiac amyloidosis: Limitations of apical sparing. ESC Hear. Fail. 2021, 9, 385–397. [Google Scholar] [CrossRef] [PubMed]
- Minamisawa, M.; Inciardi, R.M.; Claggett, B.; Cuddy, S.A.; Quarta, C.C.; Shah, A.M.; Dorbala, S.; Falk, R.H.; Matsushita, K.; Kitzman, D.W.; et al. Left atrial structure and function of the amyloidogenic V122I transthyretin variant in elderly African Americans. Eur. J. Hear. Fail. 2021, 23, 1290–1295. [Google Scholar] [CrossRef] [PubMed]
- Monte, I.P.; Faro, D.C.; Trimarchi, G.; de Gaetano, F.; Campisi, M.; Losi, V.; Teresi, L.; Di Bella, G.; Tamburino, C.; de Gregorio, C. Left Atrial Strain Imaging by Speckle Tracking Echocardiography: The Supportive Diagnostic Value in Cardiac Amyloidosis and Hypertrophic Cardiomyopathy. J. Cardiovasc. Dev. Dis. 2023, 10, 261. [Google Scholar] [CrossRef] [PubMed]
- Inoue, K.; Khan, F.H.; Remme, E.W.; Ohte, N.; García-Izquierdo, E.; Chetrit, M.; Moñivas-Palomero, V.; Mingo-Santos, S.; Andersen, S.; Gude, E.; et al. Determinants of left atrial reservoir and pump strain and use of atrial strain for evaluation of left ventricular filling pressure. Eur. Hear. J. - Cardiovasc. Imaging 2021, 23, 61–70. [Google Scholar] [CrossRef]
- Aimo, A.; Aimo, A.; Fabiani, I.; Fabiani, I.; Giannoni, A.; Giannoni, A.; Mandoli, G.; Mandoli, G.; Pastore, M.; Pastore, M.; et al. Multi-chamber speckle tracking imaging and diagnostic value of left atrial strain in cardiac amyloidosis. Eur Heart J Cardiovasc Imaging. 2022, 24, 130–141. [Google Scholar] [CrossRef]
- Bukhari, S.; Khan, S.Z.; Bashir, Z. Atrial Fibrillation, Thromboembolic Risk, and Anticoagulation in Cardiac Amyloidosis: A Review. J. Card. Fail. 2022, 29, 76–86. [Google Scholar] [CrossRef] [PubMed]
- Oike, F.; Usuku, H.; Yamamoto, E.; Yamada, T.; Egashira, K.; Morioka, M.; Nishi, M.; Komorita, T.; Hirakawa, K.; Tabata, N.; et al. Prognostic value of left atrial strain in patients with wild-type transthyretin amyloid cardiomyopathy. ESC Hear. Fail. 2021, 8, 5316–5326. [Google Scholar] [CrossRef] [PubMed]
- Cicco, S.; Solimando, A.G.; Buono, R.; Susca, N.; Inglese, G.; Melaccio, A.; Prete, M.; Ria, R.; Racanelli, V.; Vacca, A. Right Heart Changes Impact on Clinical Phenotype of Amyloid Cardiac Involvement: A Single Centre Study. Life 2020, 10, 247. [Google Scholar] [CrossRef] [PubMed]
- Palomero, V.M.; Durante-Lopez, A.; Sanabria, M.T.; Cubero, J.S.; González-Mirelis, J.; Lopez-Ibor, J.V.; Rico, S.M.N.; Krsnik, I.; Dominguez, F.; Mingo, A.M.; et al. Role of Right Ventricular Strain Measured by Two-Dimensional Echocardiography in the Diagnosis of Cardiac Amyloidosis. J. Am. Soc. Echocardiogr. 2019, 32, 845–853. [Google Scholar] [CrossRef] [PubMed]
- Korthals, D.; Chatzantonis, G.; Bietenbeck, M.; Meier, C.; Stalling, P.; Yilmaz, A. CMR-based T1-mapping offers superior diagnostic value compared to longitudinal strain-based assessment of relative apical sparing in cardiac amyloidosis. Sci. Rep. 2021, 11, 1–9. [Google Scholar] [CrossRef]
- Zhao, L.; Tian, Z.; Fang, Q. Diagnostic accuracy of cardiovascular magnetic resonance for patients with suspected cardiac amyloidosis: A systematic review and meta-analysis. BMC Cardiovasc. Disord. 2016, 16, 129. [Google Scholar] [CrossRef] [PubMed]
- Khedraki, R.; Robinson, A.A.; Jordan, T.; Grodin, J.L.; Mohan, R.C. A Review of Current and Evolving Imaging Techniques in Cardiac Amyloidosis. Curr. Treat. Options Cardiovasc. Med. 2023, 25, 43–63. [Google Scholar] [CrossRef]
- Dungu, J.N.; Valencia, O.; Pinney, J.H.; Gibbs, S.D.; Rowczenio, D.; Gilbertson, J.A.; Lachmann, H.J.; Wechalekar, A.; Gillmore, J.D.; Whelan, C.J.; et al. CMR-Based Differentiation of AL and ATTR Cardiac Amyloidosis. JACC: Cardiovasc. Imaging 2014, 7, 133–142. [Google Scholar] [CrossRef]
- Boynton, S.J.; Geske, J.B.; Dispenzieri, A.; Syed, I.S.; Hanson, T.J.; Grogan, M.; Araoz, P.A. LGE Provides Incremental Prognostic Information Over Serum Biomarkers in AL Cardiac Amyloidosis. JACC: Cardiovasc. Imaging 2016, 9, 680–686. [Google Scholar] [CrossRef]
- Yang, L.; Krefting, I.; Gorovets, A.; Marzella, L.; Kaiser, J.; Boucher, R.; Rieves, D. Nephrogenic Systemic Fibrosis and Class Labeling of Gadolinium-based Contrast Agents by the Food and Drug Administration. Radiology 2012, 265, 248–253. [Google Scholar] [CrossRef]
- Bukhari, S. Cardiac amyloidosis: State-of-the-art review. J. Geriatr. Cardiol. 2023, 20, 361–375. [Google Scholar] [CrossRef] [PubMed]
- Karamitsos, T.D.; Piechnik, S.K.; Banypersad, S.M.; Fontana, M.; Ntusi, N.B.; Ferreira, V.M.; Whelan, C.J.; Myerson, S.G.; Robson, M.D.; Hawkins, P.N.; et al. Noncontrast T1 Mapping for the Diagnosis of Cardiac Amyloidosis. JACC: Cardiovasc. Imaging 2013, 6, 488–497. [Google Scholar] [CrossRef] [PubMed]
- Banypersad, S.M.; Fontana, M.; Maestrini, V.; Sado, D.M.; Captur, G.; Petrie, A.; Piechnik, S.K.; Whelan, C.J.; Herrey, A.S.; Gillmore, J.D.; et al. T1 mapping and survival in systemic light-chain amyloidosis. Eur. Hear. J. 2014, 36, 244–251. [Google Scholar] [CrossRef] [PubMed]
- Martinez-Naharro, A.; Kotecha, T.; Norrington, K.; Boldrini, M.; Rezk, T.; Quarta, C.; Treibel, T.A.; Whelan, C.J.; Knight, D.S.; Kellman, P.; et al. Native T1 and Extracellular Volume in Transthyretin Amyloidosis. JACC: Cardiovasc. Imaging 2018, 12, 810–819. [Google Scholar] [CrossRef] [PubMed]
- Banypersad, S.M.; et al. Quantification of myocardial extracellular volume fraction in systemic AL amyloidosis: An equilibrium contrast cardiovascular magnetic resonance study. Circ Cardiovasc Imaging, 2013, 6, 34–39. [Google Scholar] [CrossRef] [PubMed]
- Martinez-Naharro, A.; Abdel-Gadir, A.; Treibel, T.A.; Zumbo, G.; Knight, D.S.; Rosmini, S.; Lane, T.; Mahmood, S.; Sachchithanantham, S.; Whelan, C.J.; et al. CMR-Verified Regression of Cardiac AL Amyloid After Chemotherapy. JACC: Cardiovasc. Imaging 2017, 11, 152–154. [Google Scholar] [CrossRef] [PubMed]
- Kotecha, T.; Martinez-Naharro, A.; Treibel, T.A.; Francis, R.; Nordin, S.; Abdel-Gadir, A.; Knight, D.S.; Zumbo, G.; Rosmini, S.; Maestrini, V.; et al. Myocardial Edema and Prognosis in Amyloidosis. J. Am. Coll. Cardiol. 2018, 71, 2919–2931. [Google Scholar] [CrossRef] [PubMed]
- O'Brien, A.T.; Gil, K.E.; Varghese, J.; Simonetti, O.P.; Zareba, K.M. T2 mapping in myocardial disease: A comprehensive review. J. Cardiovasc. Magn. Reson. 2022, 24, 33. [Google Scholar] [CrossRef] [PubMed]
- Williams, M.C. Improving the Diagnosis of Amyloidosis at Cardiac CT. Radiology 2023, 306, e222406. [Google Scholar] [CrossRef]
- Nacif, M.S.; Kawel, N.; Lee, J.J.; Chen, X.; Yao, J.; Zavodni, A.; Sibley, C.T.; Lima, J.A.C.; Liu, S.; Bluemke, D.A. Interstitial Myocardial Fibrosis Assessed as Extracellular Volume Fraction with Low-Radiation-Dose Cardiac CT. Radiology 2012, 264, 876–883. [Google Scholar] [CrossRef]
- Deux, J.-F.; Nouri, R.; Tacher, V.; Zaroui, A.; Derbel, H.; Sifaoui, I.; Chevance, V.; Ridouani, F.; Galat, A.; Kharoubi, M.; et al. Diagnostic Value of Extracellular Volume Quantification and Myocardial Perfusion Analysis at CT in Cardiac Amyloidosis. Radiology 2021, 300, 326–335. [Google Scholar] [CrossRef] [PubMed]
- Zimmerman, S.L. Strengthening the Case for Cardiac CT in Amyloidosis Evaluation. Radiology 2021, 300, 336–337. [Google Scholar] [CrossRef]
- Kidoh, M.; Oda, S.; Takashio, S.; Hirakawa, K.; Kawano, Y.; Shiraishi, S.; Hayashi, H.; Nakaura, T.; Nagayama, Y.; Funama, Y.; et al. CT Extracellular Volume Fraction versus Myocardium-to-Lumen Signal Ratio for Cardiac Amyloidosis. Radiology 2023, 306, e220542. [Google Scholar] [CrossRef]
- Gillmore, J.D.; Maurer, M.S.; Falk, R.H.; Merlini, G.; Damy, T.; Dispenzieri, A.; Wechalekar, A.D.; Berk, J.L.; Quarta, C.C.; Grogan, M.; et al. Nonbiopsy Diagnosis of Cardiac Transthyretin Amyloidosis. Circ. 2016, 133, 2404–2412. [Google Scholar] [CrossRef] [PubMed]
- Treglia, G.; Glaudemans, A.W.J.M.; Bertagna, F.; Hazenberg, B.P.C.; Erba, P.A.; Giubbini, R.; Ceriani, L.; Prior, J.O.; Giovanella, L.; Slart, R.H.J.A. Diagnostic accuracy of bone scintigraphy in the assessment of cardiac transthyretin-related amyloidosis: A bivariate meta-analysis. Eur. J. Nucl. Med. 2018, 45, 1945–1955. [Google Scholar] [CrossRef]
- Stats, M.A.; Stone, J.R. Varying levels of small microcalcifications and macrophages in ATTR and AL cardiac amyloidosis: Implications for utilizing nuclear medicine studies to subtype amyloidosis. Cardiovasc. Pathol. 2016, 25, 413–417. [Google Scholar] [CrossRef] [PubMed]
- Perugini, E.; et al. Noninvasive etiologic diagnosis of cardiac amyloidosis using 99mTc-3,3-diphosphono-1,2-propanodicarboxylic acid scintigraphy. J Am Coll Cardiol, 2005, 46, 1076–1084. [Google Scholar] [CrossRef]
- Bokhari, S.; Castaño, A.; Pozniakoff, T.; Deslisle, S.; Latif, F.; Maurer, M.S. 99m Tc-Pyrophosphate Scintigraphy for Differentiating Light-Chain Cardiac Amyloidosis From the Transthyretin-Related Familial and Senile Cardiac Amyloidoses. Circ. Cardiovasc. Imaging 2013, 6, 195–201. [Google Scholar] [CrossRef]
- Masri, A.; Bukhari, S.; Ahmad, S.; Nieves, R.; Eisele, Y.S.; Follansbee, W.; Brownell, A.; Wong, T.C.; Schelbert, E.; Soman, P. Efficient 1-Hour Technetium-99 m Pyrophosphate Imaging Protocol for the Diagnosis of Transthyretin Cardiac Amyloidosis. Circ. Cardiovasc. Imaging 2020, 13, e010249. [Google Scholar] [CrossRef]
- Falk, R.H.; Lee, V.W.; Rubinow, A.; Hood, W.B.; Cohen, A.S. Sensitivity of technetium-99m-pyrophosphate scintigraphy in diagnosing cardiac amyloidosis. Am. J. Cardiol. 1983, 51, 826–830. [Google Scholar] [CrossRef]
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