Copyright
©The Author(s) 2017.
World J Gastroenterol. Jan 7, 2017; 23(1): 25-41
Published online Jan 7, 2017. doi: 10.3748/wjg.v23.i1.25
Published online Jan 7, 2017. doi: 10.3748/wjg.v23.i1.25
Table 1 Descriptors used in harmonic contrast-enhanced endoscopic ultrasound examination
Descriptors | Enhancement | Pattern of distribution | Wash-out |
Hyper/iso/hypoenhancement | Homogenous/inhomogenous | Slow/Fast | |
Corresponding feature | Arteriolar density compared to the adjacent normal parenchyma | Vascularity architecture | Velocity of the venous blood flow |
Phase | Arterial | Arterial | Venous |
Table 2 Description of solid and cystic pancreatic lesions during harmonic contrast-enhanced endoscopic ultrasound examination
Enhancement | Pattern of distribution | Wash-out | ||
Solid pancreatic lesion | Adenocarcinoma | Hypoenhanced | Homogenous/non-homogenous | Fast |
NET | Hyperenhanced > hypoenhanced | Homogenous/non-homogenous | Slow > Fast | |
Chronic pancreatitis | Isoenhanced/hyperenhanced > hypoenhanced | Homogenous/non-homogenous | Fast | |
Autoimmune pancreatitis | Isoenhanced/hyperenhanced | Homogenous/non-homogenous | Fast | |
Cystic pancreatic lesion | SCA | Hyperenhancement of the vascularized septae, | Homogenous | Slow |
honeycomb aspect highlighted | ||||
MCN | Hyperenhanced thick walls, thick septa and nodules are predictive for malignancy | Fast | ||
Pseudocyst | Avascular wall + | - | ||
solid component without any contrast uptake | ||||
IPMN | Hyperenhanced septae and vascularized neoplastic nodules | Fast | ||
NET cystic | Hyperenhanced wall and vascularized nodules | Slow |
Table 3 Results of contrast-enhanced harmonics-endoscopic ultrasound assessment for solid pancreatic masses in various studies
Ref. | Type of study | Contrast agent | No. of patients | MI | Hypoenhancement as a sign of adenocarcinoma | EUS diagnostic rate | EUS-FNA diagnostic rate |
Napoleon et al[18] 2010 | Endoscopy | Sonovue | 35 | 0.4 | Sn = 89% | Sn = 79% | |
PC-18 | Sp = 88% | Sp = 100% | |||||
NET-9 | PPV = 89% | PPV = 100% | |||||
CP-7 | NPV = 88% | NPV = 54% | |||||
Acc = 88.5% | Acc = 83% | ||||||
Fusaroli et al[12] 2010 | Prospective | Sonovue | 90 | 0.36 radial | Sn = 96% | Sn = 86% | |
PC-51, NET-13, CP-13 | 0.28 linear | Sp = 64% | Sp = 18% | ||||
Ac = 82% | Ac = 57% | ||||||
Ang et al[19] 2011 | Definity | 29 (PC-16, CP-4, Other-9) | 0.3 | Better detection of vascular invasion and tumor margins | - | ||
Matsubara et al[20] 2011 | Retrospective | Sonazoid | 91 | 0.2 | Sn = 87.5% | - | - |
Sp = 77.8% | |||||||
Hocke et al[13] 2012 | Prospective | Sonovue | 58 | - | Sn = 84% | Sn = 73% | - |
Sp = 76% | Sp = 61% | ||||||
Kitano et al[15] 2012 | Prospective | Sonazoid | 277 (PC-204, NET-19, CrP-46, Other-8) | 0.3 | Sn = 95% | - | Sn = 92%1 |
Sp = 89% | Sp = 100% | ||||||
Lee et al[16] 2013 | Prospective | Sonovue | 37 (PC-28, NET-5, CP-2) | - | Sn = 93% | - | - |
Sp = 86% | |||||||
PPV = 93% | |||||||
NPV = 75% | |||||||
Acc = 92% | |||||||
Gincul et al[14] 2014 | Prospective | Sonovue | 100 | 0.4 | Sn = 96% | Sn = 95% | |
(PC-69, | Sp = 94% | Sp = 93% | |||||
NET-10, CP-13, | PPV = 94% | PPV = 100% | |||||
Other-8) | NPV = 97% | NPV = 100% | |||||
Acc = 91% | Acc = 86% | ||||||
Park et al[17] 2014 | Retrospective | Sonovue | 90 | - | Sn = 91.9% | - | Sn = 90% |
Sp = 67.8% | Sp = 100% | ||||||
Dietrich et al[21] 2016 | Retrospective | Sonovue | 394 | Sn = 92% | - | - | |
PC-146 | |||||||
NET-156 |
Table 4 Quantitative assessment studies for differentiating pancreatic masses
Ref. | Type of study | Type of mass | Contrast agent | Type of echoendoscope | MI | Quantitative assessment | Features useful for differentiation | Diagnostic rate |
Seicean et al[31], 2010 | Prospective | PC-15 | Sonovue | Radial | 0.36 | Hue histogram | Uptake index ratio | Sn = 80% |
CP-12 | Sp = 91% | |||||||
PPV = 92.8% | ||||||||
NPV = 78% | ||||||||
Matsubara et al[20], 2011 | Retrospective | PC-48 | Sonazoid | Linear | 0.20 | TIC | Echo intensity reduction rate relative to the peak at 1 min | Sn = 87.5% |
AIP-14 | Sp = 88.9% | |||||||
CP-13 | EUS + TIC | |||||||
NET-16 | Sn = 95.8% | |||||||
Sp = 92.6% | ||||||||
Gheonea et al[25], 2012 | Prospective | CP-19 | Sonovue | Linear | 0.20 | Postprocessing TIC | Peak intensity intensity | Sn = 93.7% |
PC-32 | TTP | Sp = 89.4% | ||||||
AUC | ||||||||
Imazu et al[32], 2014 | Prospective | AIP-8 | Sonazoid | Radial | 0.25-0.3 | TIC | Peak intensity | Sn = 100% |
PC-22 | Maximum intensity gain | Sp = 100% | ||||||
Săftoiu et al[33], 2015 | Prospective | PC-112 | Sonovue | Linear | 0.1-0.3 | TIC | Peak intensity | Sn = 87.5% |
CP-55 | Radial | Wash-in AUC | Sp = 92.72% | |||||
Wash-in rate | ||||||||
Wash-in perfusion index |
Table 5 Contrast-enhanced endoscopic ultrasound for use in characterizing mural nodules in cystic pancreatic lesions
Ref. | Type of study | MI | No. of patients | Type of cystic lesions | Contrast substance | Detection of mural nodules accuracy | Diagnosis of malignancy | Cut-off height for malignancy diagnosis(mm) |
Yamashita et al[40] 2013 | Retrospective | 0.36 | 17 | IPMN | Sonazoid | EUS-0 | ||
CT-71% | ||||||||
CH-EUS-94% | ||||||||
Hocke et al[37] 2014 | Retrospective | 0.02-0.18 | 125 | 1 MCN | Sonovue | Not defined | Not defined | - |
6 MD-IPMN | ||||||||
16 BD-IPMN | ||||||||
103 others | ||||||||
Harima et al[41] 2015 | Retrospective | - | 50 | IPMN BD | Sonazoid | CT-92% | 8.8 (AUROC = 0.93) | |
EUS-72% | ||||||||
CH-EUS-98% | ||||||||
Kamata et al[42] 2016 | Retrospective | 0.30 | 70 | 6 MCN 42 BD-IPMNs | Sonazoid | EUS-73% | EUS-64 | EUS-8 mm (AUROC = 0.84) |
4 SCN | CH-EUS-84% | CH-EUS-84 | CH-EUS-4 mm (AUROC = 0.93) | |||||
18 other | ||||||||
Yamamoto et al[43] 2016 | Retrospective | 0.20 | 30 | 6/18/2006 | Sonazoid | Echo intensity change-0.8 | No effect on malignancy rate | |
MD/BD/Mixt IPMN | Echo intensity reduction | |||||||
rate-0.9 | ||||||||
Nodule/pancreatic parenchyma contrast ratio-0.89 |
Table 6 Efficiency of E-endoscopic ultrasound for solid pancreatic mass assessment
Ref. | Type of study | Final diagnosis | No. of patients | E-EUS assessment | Main results |
Giovannini et al[58] 2006 | Prospective | Surgery | 24 | Color pattern | Sn = 100% |
Single center | EUS-FNA | Sp = 67% | |||
Janssen et al[75] 2007 | Prospective | Surgery | 73 | Color pattern | - |
Single center | EUS-FNA | ||||
Săftoiu et al[60] 2008 | Prospective | Surgery | 43 | Hue histogram cut-off value=175 | Sn = 91%, Sp = 87%, PPV = 88%. NPV = 90%, Acc = 89% |
Single center | EUS-FNA | ||||
Iglesias-Garcia et al[72] 2009 | Prospective | Surgery | 130 | Color pattern | Sn = 100%, Sp = 85%, PPV = 90%, NPV= 100%, Acc = 94% |
Single center | EUS-FNA | ||||
Giovannini et al[79] 2009 | Prospective | Surgery | 121 | Color pattern | Sn = 92% |
Multicenter | EUS-FNA | Sp = 80% | |||
Iglesias-Garcia et al[57] 2010 | Prospective | Surgical | 86 | SR = 4.62 | Sn = 100%, Sp = 92% |
Single center | FNA | ||||
Săftoiu et al[59] 2011 | Prospective | Surgery | 258 | Hue histogram cut-off value = 175 | Sn = 93%, Sp = 66%, PPV = 92%, NPV = 68%, Acc = 85% |
Multicenter | EUS-FNA | ||||
Itokawa et al[73] 2011 | Retrospective | 109 | SR=39.08 | - | |
Hocke et al[13] 2012 | Prospective | Surgical | 58 | Color pattern | Sn = 94.7% |
Single center | EUS-FNA | Sp = 33.4% | |||
Follow up | |||||
Figueiredo et al[71] 2012 | Prospective | Surgical | 47 | SR = 8 | Sn = 90% Sp = 75% |
Single center | EUS-FNA | ||||
Follow up | |||||
Dawwas et al[70] 2012 | Prospective | Surgical | 111 | SR = 4.69 (AUC = 0.69) | Sn = 100%, Sp = 16.7%, PPV = 86%, NPV = 100%, Acc = 86% |
Single center | EUS-FNA | Masks elasticity (AUC= 0.72) | Sn = 95%, Sp = 22%, PPV = 86%, NPV = 50%, Acc = 83% | ||
Lee et al[74] 2013 | Retrospective | - | 15 | Color pattern | - |
SR = 0.02% | |||||
Havre et al[54] 2014 | Prospective | Surgery | 48 | SR = 4.4 | Sn = 67%, Sp = 71% |
EUS-FNA | |||||
Follow-up | |||||
Rustemovic et al[93] 2014 | Prospective | Surgery | 149 | SR = 7.59 | Sn = 100% |
Single center | EUS-FNA | Sp = 45% | |||
Kongkam et al[69] 2015 | Prospective | Surgery | 38 | SR=3.17 | Sn = 86%, Sp = 66% |
Single center | EUS-FNA | ||||
Opačić et al[94] 2015 | Prospective | Surgery | 105 pancreatic mass | Hue histogram | Sn = 98%, Sp = 50%, PPV = 92%, NPV = 100%, Ac = 69% |
Single center | EUS-FNA | 44 controls | |||
Mayerle et al[68] 2016 | Prospective | Surgery | 85 | SR = 24.82 or 10 | Sn = 77%, Sp = 65% |
Single center | EUS-FNA | Sn = 96%, Sp = 43% | |||
Follow-up |
Table 7 Efficiency of E-endoscopic ultrasound for LN assessment
Ref. | Type of study | Final diagnosis | No. of patients | E-EUS assessment | Main results |
Giovannini et al[58] 2006 | Prospective | EUS-FNA | 31 | Color pattern | Sn = 100% |
Single center | Sp = 50% | ||||
Janssen et al[75] 2007 | Prospective | EUS-FNA | 66 | Color pattern | Hard - Acc = 81%-86% |
Single center | Soft - Acc = 84%-86% | ||||
Săftoiu et al[95] 2007 | Prospective Single center | Surgery | 78 | Hue histogram | Sn = 85% |
EUS-FNA | Sp = 91% | ||||
Giovannini et al[79] 2009 | Prospective | Surgery | 101 | Color pattern | Sn = 91.8% |
Multicenter | EUS-FNA | Sp = 82.5% | |||
Larsen et al[81] 2012 | Prospective Single center | Surgery | 56 | Color pattern | Sn = 55%-59% |
Sp = 82%-85% | |||||
Paterson et al[78] 2012 | Prospective | EUS-FNA | 53 | Strain ratio for malignancy = 7.5 | Sn = 83%, Sp = 96%, PPV = 95%, NPV = 86%, Acc = 90% |
Single center | |||||
Knabe et al[83] 2013 | Prospective | EUS-FNA | 40 | Color pattern | Sn = 100% |
Computed analysis | Sp = 64% | ||||
Computed analysis | |||||
Sn = 88.9% | |||||
Sp = 86.7% |
Table 8 Needle confocal laser endosonography features of different cystic lesions of the pancreas
Type of lesion | nCLE features | Diagnostic rate, references |
SCA | A vascular network of the cystic wall | Sn = 69%, Sp = 100%, PPV = 100%, NPV = 82%[100] |
MCN | A gray band delineated by a thin dark line | Sn = 80%, Sp = 100%[103] |
Sn = 67%, Sp = 96%[100] | ||
IPMN | Papillary projections: characterized by the alternation of vascular cores (white) and epithelial borders | Sn = 59%, Sp = 100%[102] |
Sn = 80%, Sp = 92%[100] | ||
Pseudocyst | Inflammatory cells bright, gray and black particles | Sn = 43%, Sp = 100%, Acc = 87%[100] |
Cystic NET | Dark irregular clusters of compact cells + gray tissue of fibrovascular stroma | Sn = 67%, Sp = 96%, Acc = 90%[100] |
- Citation: Seicean A, Mosteanu O, Seicean R. Maximizing the endosonography: The role of contrast harmonics, elastography and confocal endomicroscopy. World J Gastroenterol 2017; 23(1): 25-41
- URL: https://www.wjgnet.com/1007-9327/full/v23/i1/25.htm
- DOI: https://dx.doi.org/10.3748/wjg.v23.i1.25