Differentiation of hepatocellular adenoma and focal nodular hyperplasia using 18F-fluorocholine PET/CT.

The aim of this pilot study was to evaluate the use of PET/CT with (18)F-fluorocholine in the differentiation of hepatocellular adenoma (HCA) from focal nodular hyperplasia (FNH). Patients with liver lesions larger than 2 cm suspicious for HCA or FNH were prospectively included. All patients underwent PET/CT with (18)F-fluorocholine and histopathological diagnosis was obtained by either liver biopsy or surgery. The ratios between the maximum standardized uptake value (SUV) of the lesion and the mean SUV of normal liver parenchyma were calculated and a receiver operating characteristic (ROC) curve analysis was performed. Ten patients with FNH and 11 with HCA were included. The mean SUV ratio was 1.68±0.29 (±SD) for FNH and 0.88±0.18 for HCA (p<0.001). An SUV ratio cut-off value between 1.12 and 1.22 differentiated patients with FNH from those with HCA with 100% sensitivity and 100% specificity. This pilot study showed that PET/CT with (18)F-fluorocholine can differentiate HCA from FNH.

Introduction

Hepatocellular adenoma (HCA) and focal nodular hyperplasia (FNH) are benign hypervascular liver lesions that predominantly occur in young and middle-aged women. Differentiation of these two tumours using radiological imaging modalities may be difficult because of radiological features shared by both tumours [1]. The frequency with which the diagnosis is in question after routine radiological examination is unclear. Recently it has been reported that MRI with a hepatospecific contrast agent distinguishes HCA from FNH with a sensitivity and specificity of 96.9% and 100%, respectively. However, the diagnosis of most of these lesions was based solely on imaging results without histological confirmation [2]. Differentiation is crucial to decide on appropriate management because of the different therapeutic consequences. FNH is a strictly benign liver lesion and complications are very rare. Conservative treatment is therefore justified, in the absence of mechanical symptoms. On the other hand, HCA carries a risk of spontaneous bleeding [3] and malignant transformation, especially when the lesion is larger than 5 cm [4]. Therefore, resection of a HCA larger than 5 cm is usually advocated.

When radiological analysis remains inconclusive, a liver biopsy is required to establish the diagnosis. This is an invasive procedure with associated risks. Therefore, there is a need for accurate noninvasive diagnostic imaging techniques. In previous studies, the use of the 99Tc sulphur-colloid scan was found not to be helpful in diagnosis because many lesions showed atypical uptake of the tracer [5]. In our experience, the use of 99Tc mebrofenin is not accurate enough, probably due to inferior resolution of SPECT or biliary excretion on hepatobiliary scintigraphy masking smaller centrally located lesions. Bumsel and et al. recently suggested that PET/CT using the tracer 18F-fluoromethylcholine (18F-FCH) may be able to differentiate between FNH and HCA [6]. In this pilot study, we prospectively assessed the use of PET/CT with 18F-FCH with semiquantitative uptake measurements in patients in whom the diagnosis FNH or HCA was considered.

Materials and methods

Patients

This pilot study was part of a prospective, single-centre trial which aimed to develop a diagnostic algorithm for patients with suspicion of FNH or HCA. The study protocol was approved by the medical ethics committee of the Academic Medical Center Amsterdam. Patients over 18 years of age with suspicion of FNH or HCA larger than 2 cm in diameter based on radiological imaging modalities were included in the study after written informed consent had been obtained. When suspected of malignancy, based on clinical history, imaging studies or elevated plasma alpha-fetoprotein or CEA levels, the patient was excluded.

PET/CT procedure

An injection solution of 2,000–3,000 MBq of [18F]-fluorocholine with a radiochemical purity of 98% or more was synthesized. PET/CT was performed using a Philips Gemini TF-16 PET/CT scanner (Philips Medical Systems, Eindhoven, The Netherlands) with a spatial resolution near the centre of the field of view of 4.8 mm in transverse and axial directions. A CT transmission scan in the supine position was acquired from the mid-thorax to the mid-abdomen, encompassing the entire liver. The 12-channel helical CT scanning parameters were: 120 kVp, 50 mA/slice, rotation time 0.75 s, slice thickness/interval 5.0 mm. No intravenous contrast agent was used for the CT. At 15 min after intravenous injection of 150 MBq of 18F-FCH, emission scans were acquired from the mid-thorax to the mid-abdomen, encompassing the entire liver over three or four bed positions at 3 min per position. Images were reconstructed using a list-mode version of a maximum likelihood expectation maximization algorithm with a time-of-flight kernel applied in both the forward and back-projection operations. CT data were used for attenuation correction.

PET/CT evaluation

Images were analysed in consensus blinded for outcome on a Hermes workstation using Hybrid viewer software (Hermes Medical Solutions, Stockholm, Sweden). The standardized uptake value (SUV) was determined in the liver lesions and in surrounding nonaffected liver tissue volumes. Choline is normally continuously metabolized in the liver. The amount of choline used depends on the metabolic need, and therefore is not necessarily equal between patients. To allow for this different baseline choline consumption, we used the SUV ratio in our analysis. The SUV ratio was calculated by dividing the maximum SUV of the lesion (SUVmax tumour) by the mean SUV of the normal surrounding liver tissue (SUVmean liver).

Gold standard

The gold standard for the diagnosis of FNH and HCA is histopathological evaluation. A histological specimen was obtained by liver biopsy or liver surgery. If multiple lesions were present in the liver, only those with a histopathologically confirmed diagnosis were scored using the PET/CT scan. The outcome of the PET/CT scan was compared with the gold standard.

Statistical analysis

Statistical analysis was performed with Statistical Package for Social Sciences (SPSS, version 16.0.2.1). Continuous data were tested for normality of distribution and equality of variances using Levene’s test, and compared using an independent sample t-test, and are expressed as means ±SD. All statistical tests were two-tailed, and were evaluated at the 5% level of significance. A receiver operating characteristic (ROC) curve analysis was performed.

Results

Patient characteristics

Included in the study were 21 patients in the period between May 2009 and January 2010. All patients were female and their mean age was 39 years (range 22–52 years). Patient characteristics are shown in Table 1.

Table 1

Patient characteristics and PET/CT data

Patient	Gender	Age (years)	Tumour location (segment)	Tumour size (cm)	SUVmean liver	SUVmax tumour	SUV ratio	Histopathological diagnosis	Treatment
1	F	29	2	5.3×4.2	10.61	6.03	0.57	HCA	Segmental resection
2	F	45	7	5.0×6.0	8.77	5.49	0.63	HCA	Segmental resection
3	F	33	8	5.5×4.5	12.87	8.66	0.67	HCA	Right hemihepatectomy
4	F	35	2	6.0×7.5	8.86	7.57	0.85	HCA	Segmental resection
5	F	49	8	7.0×5.9	10.56	9.24	0.88	HCA	Right hemihepatectomy
6	F	40	3	2.3×1.9	12.47	11.52	0.92	HCA	Observation
7	F	41	7	2.3×1.4	8.45	7.93	0.94	HCA	Observation
8	F	51	8	8.5×6.5	10.95	10.55	0.96	HCA	Right hemihepatectomy
9	F	45	3	6.0×7.0	9.36	9.27	0.99	HCA	Observation
10	F	41	6	8.0×4.0	11.91	12.96	1.09	HCA	Segmental resection
11	F	40	1	11.4×9.3	11.48	12.90	1.12	HCA	Enucleation of the tumour
12	F	27	4	4.2×4.5	16.09	19.62	1.22	FNH	Observation
13	F	38	1	5.7×6.8	7.21	10.16	1.41	FNH	Enucleation of the tumour
14	F	38	4	2.4×2.2	7.08	10.29	1.45	FNH	Enucleation of the tumour
15	F	22	8	6.2×5.0	6.70	10.51	1.57	FNH	Right hemihepatectomy
16	F	41	5	7.8×7.2	10.68	17.25	1.62	FNH	Observation
17	F	52	7	6.4×6.3	8.89	15.15	1.70	FNH	Observation
18	F	44	5	3.1×2.7	10.00	18.38	1.84	FNH	Observation
19	F	45	8	7.1×7.4	6.82	12.76	1.87	FNH	Observation
20	F	40	2	3.7×3.1	8.43	16.29	1.93	FNH	Enucleation of the tumour
21	F	36	7/8	10.5×6.3	9.24	20.39	2.21	FNH	Observation

PET/CT performance

Ten patients had histologically proven FNH and 11 had HCA. There were no complications after the liver biopsies. The mean SUV ratios were 1.68±0.29 (range 1.22–2.21) for FNH and 0.88±0.18 (range 0.57–1.12) for HCA (p<0.001). All FNH therefore showed increased uptake and most HCAs showed similar or decreased uptake of the choline tracer in comparison to the surrounding liver tissue (Fig. 1). ROC curve analysis suggested that a SUV ratio cut-off value between 1.12 and 1.22 differentiated patients with FNH from those with HCA with 100% sensitivity and 100% specificity. The SUV ratios for each group are shown in Fig. 2.

Fig. 1

CT and PET/CT images of a patient with FNH (a) and HCA (b) 15 min after i.v. injection of 150 MBq 18F-FCH. The FNH clearly shows increased uptake of the choline tracer. The HCA is hardly distinguishable from, but relatively cold compared to normal liver tissue

Fig. 2

Boxplot differentiating FNH and HCA in terms of choline metabolic activity of the tumour. The cut-off value of the SUV ratio with 100% sensitivity and 100% specificity lies between 1.12 to 1.22

Discussion

This study shows that PET/CT with 18F-FCH can differentiate FNH from HCA. All HCAs showed an SUV ratio ≤1.12 and all FNH showed an SUV ratio ≥1.22. The 100% sensitivity and specificity based on visual interpretation are in accordance with the findings of Bumsel et al. [6]. They found an intense and early uptake of FCH by all FNH and no uptake by adenoma or telangiectatic FNH. The latter lesion has, however, recently been reclassified as HCA [7]. The results of both studies are promising, but must be considered carefully because of the small sample size. In our ongoing study we will further assess the accuracy of PET/CT with 18F-FCH in more patients.

The question arises as to the phenomenon that underlies the difference in choline uptake. Choline is used in the synthesis of phosphatidylcholine and sphingomyelin, two phospholipids that are structural components of all human cell membranes. Malignant tumour cells are known to show rapid cell duplication and therefore have a higher uptake of choline as a substrate for the cell membranes. However, HCA and especially FNH are slowly proliferating liver tumours making this duplication theory unlikely. Another theory is a difference in perfusion, since choline uptake is flow-dependent [8]. On hepatobiliary scintigraphy, FNH shows increased flow, in contrast to HCA. On contrast-enhanced ultrasonography, both FNH and HCA show rapid filling of the lesion, but an HCA also shows rapid wash-out of the contrast material [9]. Finally, there could be a difference in the metabolism of very low-density lipoproteins (VLDL) in the tumours. The membrane of VLDL particles mainly consists of phospholipids. Although less plausible, it could be that FNH has an increased synthesis of VLDL particles.

A drawback of the use of PET/CT using noncontrast-enhanced low-dose CT is that the tumours might be difficult to localize. In such cases image fusion with a contrast-enhanced CT or MRI scan is needed to locate the lesions.

Based on the findings of this study, we can conclude that PET/CT with 18F-fluorocholine is able to differentiate HCA from FNH with high sensitivity and specificity. Study of a larger patient series is, however, needed to confirm these results.