Contrast Media & Molecular Imaging
Volume 2019 (2019), Article ID 4325946, 7 pages
https://doi.org/10.1155/2019/4325946

Research Article

Prognostic Value of ¹⁸F-Fluorocholine PET Parameters in Metastatic Castrate-Resistant Prostate Cancer Patients Treated with Docetaxel

E. Quaquarini,1,2 D. D’Ambrosio,³ F. Sottotetti,¹ F. Gallivanone,⁴ M. Hodolic,5,6 P. Baiardi,⁷ R. Palumbo,¹ C. Vellani,⁸ C. Canevari,⁹ A. Bernardo,¹ I. Castiglioni,⁴ C. Porta,10,11 and G. Trifirò⁸

¹Medical Oncology Unit, ICS Maugeri SpA SB-IRCCS, Pavia 27100, Italy
²University of Pavia, Ph.D. in Experimental Medicine, Pavia 27100, Italy
³Medical Physics Unit, ICS Maugeri SpA SB-IRCCS, Pavia 27100, Italy
⁴Institute of Molecular Bioimaging and Physiology, National Research Council (IBFM-CNR), Milan 20090, Italy
⁵Nuclear Medicine Research Department, Iason, Graz, Austria
⁶Nuclear Medicine Department, Faculty of Medicine and Dentistry, Palacký University Olomouc, Olomouc, Czech Republic
⁷Scientific Direction, ICS Maugeri SpA SB-IRCCS, Pavia 27100, Italy
⁸Nuclear Medicine Unit, ICS Maugeri SpA SB-IRCCS, Pavia 27100, Italy
⁹Nuclear Medicine Unit, IRCCS San Raffaele Scientific Institute, Milan 20132, Italy
¹⁰Translational Oncology Unit, ICS Maugeri SpA SB-IRCCS, Pavia 27100, Italy
¹¹University of Pavia, Department of Internal Medicine, Pavia 27100, Italy

Correspondence should be addressed to E. Quaquarini; erica.quaquarini@icsmaugeri.it

Received 7 December 2018; Accepted 19 February 2019; Published 26 March 2019

Academic Editor: Gaurav Malviya

Copyright © 2019 E. Quaquarini et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract.

Background and Aim. The availability of new treatments for metastatic castrate-resistant prostate cancer (mCRPC) patients increases the need for reliable biomarkers to help clinicians to choose the better sequence strategy. The aim of the present retrospective and observational work is to investigate the prognostic value of ¹⁸F-fluorocholine (¹⁸F-FCH) positron emission tomography (PET) parameters in mCRPC. Materials and Methods. Between March 2013 and August 2016, 29 patients with mCRPC were included. They all received three-weekly docetaxel after androgen deprivation therapy, and they underwent ¹⁸F-FCH PET/computed tomography (CT) before and after the therapy. Semi-quantitative indices such as maximum standardized uptake value (SUVmax), mean standardized uptake value (SUVmean) with partial volume effect (PVC-SUV) correction, metabolically active tumour volume (MATV), and total lesion activity (TLA) with partial volume effect (PVC-TLA) correction were measured both in pre-treatment and post-treatment ¹⁸F-FCH PET/CT scans for each lesion. Whole-body indices were calculated as sum of values measured for each lesion (SSUVmax, SPVC-SUV, SMATV, and STLA). Progression-free survival (PFS) and overall survival (OS) were considered as clinical endpoints. Univariate and multivariate hazard ratios for whole-body ¹⁸F-FCH PET indices were performed, and was considered as significant. Results. Cox regression analysis showed a statistically significant correlation between PFS, SMATV, and STLA. No correlations between OS and ¹⁸F-FCH PET parameters were defined probably due to the small sample size. Conclusions. Semi-quantitative indices such as SMATV and STLA at baseline have a prognostic role in patients treated with docetaxel for mCRPC, suggesting a potential role of ¹⁸F-FCH PET/CT imaging in clinical decision-making.

1. Introduction

Prostate cancer (PC) is the first most common cancer in men worldwide, and its incidence is increasing in countries of higher socioeconomic development [1, 2].

The condition of metastatic castrate-resistant prostate cancer (mCRPC) has a poor outcome with a median overall survival (OS) of 20 months; thus, beyond palliation of symptoms and maintenance of a good quality of life, prolongation of survival remains largely an elusive goal [3, 4]. During the last decades and particularly in the past few years, chemotherapeutic agents (docetaxel and cabazitaxel) [5], antiandrogen drugs (abiraterone and enzalutamide) [6, 7], and radium-223 dichloride have been introduced for the treatment of mCRPC [8]. The optimal timing of the different treatments has not yet been established, due to the paucity of prognostic markers for sequence and clinical management decisions.

During treatment of mCRPC, the use of PSA, a glycoprotein mainly produced by prostate tissue, as a marker of response should be carefully evaluated. PSA fluctuations are well known and described during active treatments, often not due to a disease progression but to the effects of drugs on PSA production. In addition, conventional radiology has limitation in detecting tumour biology and behaviour during treatment. Positron emission tomography/computed tomography (PET/CT) has been widely used for the evaluation of PC by using several radiopharmaceuticals. A recent paper by Wallit and colleagues analyses the clinically available PET radiotracers for PC imaging and their mechanisms of actions: ¹⁸F-fluorodeoxyglucose (¹⁸F-FDG) for the evaluation of treatment response in metastatic bone disease; ¹⁸F-sodium fluoride (¹⁸F-NaF) for bone metastasis detection; ¹¹C-choline and ¹⁸F-choline (¹⁸F-FCH) for the staging of high-risk patients and in presence of biochemical relapse with high PSA levels; ⁶⁸Ga-labeled prostate-specific membrane antigen (⁶⁸Ga-PSMA) highly sensitive for biochemical relapse with low PSA levels; the novel ¹⁸F-fluciclovine (¹⁸F-FACBC) appearing superior to choline in the setting of biochemical relapse [9–11].

There are several data in literature regarding the use of ¹¹C-choline PET/CT in patients with PC treated with docetaxel both in neadjuvant and advance setting [12, 13], but its role for the assessment of the treatment response and for predicting patient outcome still remains unclear.

In comparison to CT, ¹⁸F-FDG PET/CT, and ¹¹C-choline PET/CT, ¹⁸F-FCH PET/CT showed higher sensitivity and specificity in detection of metastatic lesions in patients with PC [14]. Its role in treatment monitoring and outcome prediction beyond PSA response of patients with mCRPC treated with abiraterone and enzalutamide has been already described [15–18].

To our knowledge, there are no data available on the use of ¹⁸F-FCH PET parameters as prognostic markers in patients affected by PC and treated with docetaxel for advanced disease.

The aim of this study was to explore the prognostic role of ¹⁸F-FCH PET/CT in patients treated with three-weekly docetaxel for mCRPC by using accurate PET biomarkers corrected for partial volume effect (PVE) [19].

2. Materials and Methods

2.1. Patients and Study Design

The present study is a retrospective, monocentric, observational trial that involved consecutive patients with a histological diagnosis of prostate cancer fulfilling PCWG3 criteria [20] for CRPC (baseline serum testosterone <50 ng/dl, progressive disease to androgen deprivation therapy).

This study was approved by the institutional ethics committee, and all patients signed written informed consent. The research was conducted according to the principles of the Declaration of Helsinki.

We considered eligible patients who had not yet received chemotherapy for advance disease, had a measurable disease according to PET Response Criteria in Solid Tumours (PERCIST) version 1.0 [21], and had an Eastern Cooperative Oncology Group (ECOG) performance status (PS) ≤ 2 and appropriate cardiac, hepatic, renal, and bone marrow function.

All patients underwent ¹⁸F-FCH PET/CT before (PET1) and after (PET2) the programmed chemotherapy treatment. The study was conducted between March 2013 and August 2016. Data collection ended on 31st of December 2017 for analysis. The primary objective of this study is the identification of ¹⁸F-FCH PET parameters that can predict clinical outcome in patients with mCRPC. As secondary objective, we evaluated the correlations between patients’ clinical parameters and outcome.

2.1.1. Chemotherapy Protocol

Docetaxel was administered in three-weekly schedule (75 mg/m² day 1 every 21 days) as standard first-line chemotherapy for mCRCP according to the current guidelines [22]. The treatment was administered for a total of six cycles, and it was infused if clinical and biochemical parameters were permissive (conserved PS and no grade 3 or 4 adverse events according to Common Terminology Criteria for Adverse Events v4.03). Before the beginning of the therapy, patients underwent a baseline blood PSA assessment; PSA response and toxicity were evaluated before every dose administration. Dose adjustments and delays were planned to correspond with the type and grade of the observed toxicity. Concomitant medications such as antiemetic drug, granulocyte colony stimulating factors (G-CSF) for the secondary prevention of neutropenic fever, bisphosphonate treatments, and steroids were allowed.

2.1.2. ¹⁸F-FCH PET/CT Procedure

PET/CT was performed after intravenous injection of ¹⁸F-FCH (IASOcholine®, Graz, Austria), according to the body weight of the patient (about 3.5 MBq/kg). The mean radiopharmaceutical dose injected to the patients was 213 MBq (range: 176–346 MBq). ¹⁸F-FCH PET/CT images were acquired in median 22 days (range: 8–38) before starting the treatment with docetaxel and in median 26 days (range: 14–58) after the treatment.

Images’ acquisition was performed after an uptake time of approximately 60 min on a Discovery-690 VCT (General Electric Medical Systems, GEMS, Milwaukee, WI) scanner [23].

¹⁸F-FCH PET/CT data were acquired for 3 minutes per bed position and reconstructed by using OSEM algorithm (3 iterations, 18 subsets, full width at half maximum (FWHM) of smoothing filter equals to 5 mm) including time of flight and resolution recovery.

2.2. ¹⁸F-FCH PET/CT Image Analysis and Interpretation

A qualitative evaluation of ¹⁸F-FCH PET/CT images was firstly performed by two nuclear medicine physicians, and then an expert nuclear medicine physician selected the lesions easily identifiable and accurately evaluable on ¹⁸F-FCH PET/CT images before and after the chemotherapy in order to be semi-quantified. Too small lesions (volume < 1 cm) and lymph node clusters were excluded.

Semi-quantitative analysis of PET/CT lesions was performed by using a validated segmentation method [24]. ¹⁸F-FCH PET parameters were extracted considering partial volume effect correction (PVC) in order to get accurate PET biomarkers by using a validated method developed by Gallivanone and colleagues [25, 26]. More precisely, the following parameters were extracted from each segmented lesion on pre-treatment and post-treatment ¹⁸F-FCH PET images: maximum standardized uptake value (SUVmax), mean standardized uptake value (SUVmean) corrected for PVE (PVC-SUV), metabolically active tumour volume (MATV), and total lesion activity (TLA). TLA was calculated as MATV multiplied by the PVC-SUV (TLA = MATV × PVC-SUV), and thus, TLA was corrected for PVE.

In order to extract whole-body indices for each patient and each ¹⁸F-FCH PET parameter (SUVmax, PVC-SUV, MATV, and TLA), the sum of values measured for each lesion was calculated (SSUVmax, SPVC-SUV, SMATV, and STLA, respectively).

2.3. Statistical Analysis

The distributions of the categorical variables are described by counts and frequencies or by median and range, whereas those of continuous and count variables are described by median and interquartile range. PFS was defined as the time between the date of the beginning of docetaxel and the date of progression. OS was defined as the time between the date of the starting of docetaxel and the date of death or last follow-up.

Univariate and multivariate hazard ratios for selected potential predictors of PFS and OS were performed using a Cox proportional hazards regression model. PFS and OS were estimated using the Kaplan–Meier method. was considered as significant for all analyses. All statistical analyses were performed using SPSS version 24.

3. Results

3.1. Patients and Study Design

We enrolled 29 patients, whose baseline characteristics are reported in Table 1. Patients’ median age at the beginning of docetaxel treatment was 71 (range: 42–82). In a median follow-up period of six years, 14% () patients obtained a complete metabolic response (CMR); 52% () a partial metabolic response; 7% () a stable metabolic disease; 27% () a progressive metabolic disease (PMD) as best response to treatment. Median PFS was 13.5 months (range 2.3–37.6 months), and median OS was 37 months (range 4.7–66 months). A PSA increase compared to baseline was seen in 5 patients (17%), whereas a PSA decline ≥50% was seen in 14 patients (47%). At the time of the analysis, 15 patients were still alive.

Table 1: Demographic and clinical characteristics of patients with CRPC at baseline ().

Median (range) or no.
%

Age
71 (42–82)

ECOG

    0
18
62

    1
9
31

    2
2
7

Gleason score

    6-7
10
34

    8-9
17
59

    10
2
7

Baseline PSA

    Median (range) (ng/ML)
54.4 (0.93–361)

Type of metastatic sites

    Lung
2

    Liver
3

    Only bone
24

    Only lymph nodes
23

    Bone and lymph nodes
8

    Local
5

No. of previous treatment for CRPC disease

    None
5
17

    One
21
73

    Two or more
3
10

3.2. ¹⁸F-FCH PET/CT Image Analysis and Interpretation

Seventy-one metastatic lesions were analysed, and semi-quantitative parameters were measured. Whole-body indices calculated for each patient before and after treatment are summarized in Table 2. Overall, 10% of patients had an SPVC-SUV reduction <25%, 24% had 25–74% reduction, and 10.3% had ≥75% reduction; 14% had an SSUVmax reduction <25%, 34% had 25–74% reduction, and 17% had ≥75% reduction; 17% had an SMATV reduction <25%, 38% had 25–74% reduction, and 17% had ≥75% reduction; and 21% had an STLA reduction <25%, 35% had 25–74% reduction, and 17% had ≥75% reduction. Figures 1 and 2 represent an example of PET/CT images showing a typical ¹⁸F-FCH distribution in a patient with PMD and CMR, respectively.

Table 2: Whole-body semi-quantitative ¹⁸F-FCH PET parameters before (PET1) and after (PET2) treatment (median (IQR)).

PET1
PET2

SPVC-SUV (g/cc)
21.3 (10.8–31.2)
9.1 (4.2–26.5)

SSUVmax (g/cc)
26.2 (11.2–29.9)
8.8 (3.8–22.7)

SMATV (cc)
27.1 (12.1–48.0)
14.2 (1.4–32.3)

STLA (g)
253.5 (94.7–469.8)
118.9 (12.3–251.4)

(a)

(b)

(c)

(d)

(e)

(f)

Figure 1: ¹⁸F-FCH PET/CT images of a mCRPC patient (83 years old) with a PMD after docetaxel treatment. Baseline (a–c) and post-treatment (d–f) images. Maximum intensity projection images (a, d), transaxial slice of PET images (b, e), and PET/CT images (c, f) showing the prostate (arrows): pre-treatment SUVmax = 8.8 g/ml (c) and post-treatment SUVmax = 12.0 g/ml (f).

(a)

(b)

(c)

(d)

(e)

(f)

Figure 2: ¹⁸F-FCH PET/CT images of a mCRPC patient (73 years old) who underwent prostatectomy and obtained a CMR to docetaxel treatment. Baseline (a– c) and post-treatment (d–f) images. Maximum intensity projection images (a, d), transaxial slice of PET images (b, e), and PET/CT images (c, f) showing a metastasis in the left iliac bone (arrows) before docetaxel treatment: SUVmax = 14.6 g/ml (c); after treatment, metastasis disappeared.

3.3. Statistical Analysis

As concerning the primary objective, at Cox regression analysis, SMATV and STLA ¹⁸F-FCH PET parameters were significantly correlated with PFS (HR = 1.069, 95% CI: 1.06–1.09, and HR 1.04, 95% CI: 1.02–1.08, , respectively). No statistical significant correlations were found with OS (Table 3).

Table 3: Cox regression analysis for progression-free survival and overall survival according to PET parameters.

Cox regression analysis

Parameters
PFS
OS

HR
95% CI

HR
95% CI

SPVC-SUV ¹⁸F-FCH PET/CT
1.025
0.99–1.05
0.12
1.07
0.96–1.05
0.76

SSUVmax¹⁸F-FCH PET/CT
1.022
0.99–1.05
0.118
1.03
0.97–1.03
0.85

SMATV ¹⁸F-FCH PET/CT
1.069
1.06–1.09
0.005
1.01
0.99–1.02
0.09

STLA ¹⁸F-FCH PET/CT
1.04
1.02–1.08
0.012
1.0
0.99–1.01
0.38

Since there was a statistically significant association between SMATV and PFS, a ROC curve analysis was performed, and it showed that patients with an SMATV value >27 cc at PET1 have a 20% higher probability of having progression during docetaxel treatment (HR 1.19, range 0.56–2.53, ) with a sensibility value of 73%, a specificity value of 58%, and an AUC of 0.64 ().

As regarding the secondary objectives, a significant correlation between PSA and PFS was found since patients with a PSA decline ≥50% had a better outcome (median PFS 12.8 months, range 9.5–15.8) than patients with a PSA decline <50% (median PFS 9.7 months, range 9.5–13.7) (log rank test = ). Patients with a PSA increase of during docetaxel treatment had a poor outcome (median PFS 6.2 months, range 5.1–7.2, ).

PSA decline was also correlated with OS since patients with a PSA decline ≥50% had a median OS of 42 months (range 34–49.53), patients with a PSA decline <50% had a median OS of 29.6 months (range 26.7–32.4), and patients with a PSA increase of had a reduced OS (median OS 26.3 months, range 25.8–26.7). The overall log-rank test, however, resulted not significant () maybe due to the small number of analysed events.

Patients with an age ≥65 years at the time of the starting of docetaxel treatment had a better outcome than younger ones (PFS 10.9 months, range 7.7–14.2, vs 6.6 months, range 4.8–8.3, respectively, ; OS 42 months, range 33.2–50.7, vs 28.5 months, range 22.5–34.4, respectively, ).

Considering the metastatic sites, patients with bone and lymph node lesions had a better outcome than patients with visceral involvement (PFS 11.6 months, range 9.6–13.3, vs 9.1 months, range 5.2–12.9, respectively, ; OS 38.4 months, range 34.8–41.9, vs 29.4 months, range 5.2–53.9, respectively, ).

4. Discussion

To our knowledge, this is the first study that evaluated the role of ¹⁸F-FCH PET uptake before and after docetaxel treatment as a means of predicting long-term clinical outcomes in mCRPC.

Docetaxel is one of the treatment options in patients affected by metastatic PC; however, no approved biomarkers can predict the outcome to this therapy. ¹¹C-Choline and ¹⁸F-FCH PET/CT are widely used diagnostic techniques, and recent studies have evaluated the role of ¹⁸F-FCH PET indices in predicting treatment outcomes in CRPC patients [15–18, 27]. For the first time, Kwee and colleagues [28] assessed the potential usefulness of ¹⁸F-FCH PET parameters in mCRPC patients, quantifying whole-body tumour burden on the basis of SUVmax, metabolic tumour volume (MTV), and TLA. They found that MTV and TLA measurements proved to strongly correlate in the Kaplan–Meyer analysis.

Afterwards, Caroli and colleagues retrospectively evaluated ¹⁸F-FCH PET parameters in 94 patients treated with enzalutamide or abiraterone for mCRPC [16]. At univariate analysis, they described that the median sum of MTV (SMTV), SUVmax (SSUVmax), and TLA (STLA) resulted significant for OS and PFS, whereas, in multivariate analysis, only STLA remained statistically significant with an HR = 1.49 for PFS (95% CI 1.24–1.78, p < 0.001) and an HR = 1.46 for OS (95% CI 1.16–1.84, p = 0.001).

Another study by Maines and colleagues enrolled 30 patients treated with enzalutamide and demonstrated, in multivariate analysis, a statistically significant correlation between baseline mean SUVmax and PFS and between baseline mean SUVmax and OS: patients with higher baseline mean SUVmax experienced reduced PFS and OS than those with lower values (median PFS: 4 vs 8 months; HR: 1.22; 95% CI: 1.09–1.37; ; median OS: 12 months vs not reached, HR: 1.21; 95% CI: 1.01–1.44; ) [17].

De Giorgi and colleagues evaluated the utility of ¹⁸F-FCH PET parameters to detect an early response to abiraterone [15]. The authors concluded that a radiologic response to ¹⁸F-FCH PET/CT was associated to a better outcome compared to having obtained only a biochemical response.

Recently, Ceci and colleagues [29] have assessed the role of ¹¹C-choline PET/CT to determine the response to docetaxel in a cohort of 61 patients with metastatic PC. The authors compared the radiologic response obtained with ¹¹C-choline PET/CT and PSA response. The study had demonstrated incongruent results between the two methodologies since a radiologic progression was observed in 44% of patients with a biochemical response.

Another study by Schwarzenböck and collegues [13] evaluated the relationship between changes of SUVmax and SUVmean of ¹¹C-choline PET as a predictive biomarker of early and late response to docetaxel treatment in mCRCP. However, they did not find any significant correlation between the changes in choline uptake and the objective responses evaluated with RECIST and clinical criteria.

The results from our study suggest that ¹⁸F-FCH PET parameters could be used to predict the clinical outcome of patients with mCRPC treated with docetaxel after progressing to androgen-deprivation therapy. In particular, SMATV and STLA ¹⁸F-FCH PET parameters are the most promising imaging biomarkers, taking into account the metabolic tumour volume and activity. In fact, their mean baseline values seem to predict long-term clinical outcomes, thus suggesting that metabolic imaging may be useful to select the best treatment for individual patients and open new perspectives in clinical decision-making. Imaging biomarkers may help to tailor treatments as patients with higher levels of basal metabolic activity (and therefore a poorer prognosis) may benefit from more aggressive treatments. In this context, it is still uncertain whether pre-treatment metabolic imaging may also play a predictive role.

Our study benefits also from the use of a validated method to obtain tumour metabolic volume. As underlined in different publications and in particular in a work by Soret and colleagues [19], proper tumour active metabolic region assessment is paramount because it influences the measurement of different semi-quantitative indices to be evaluated as imaging biomarkers. In this study, we used a segmentation procedure that was validated on lesions that reliably simulate realistic tumour conditions (non-spherical and non-homogeneous), estimating volume with 92% of accuracy [24]. Furthermore, in order to obtain accurate quantitative indices of glucose consumption, a PVC method was applied to quantitative indices ensuring an accuracy for quantification up to 93% for lesions >1 cm as sphere-equivalent diameter.

We did not find any correlation between ¹⁸F-FCH PET parameters and survival. This is possibly due to the small sample size and the few number of events at the time of data analysis; as already well known from the literature, our findings demonstrated the prognostic role of visceral metastasis involvement.

5. Conclusions

Our findings suggest that ¹⁸F-FCH PET parameters, such as SMATV and STLA at baseline, have a prognostic role in patients treated with docetaxel for mCRPC and may be more useful than commonly used PET indices such as SUVmean and SUVmax. The study has some limitations due to the retrospective nature, the small sample size, and the single institution setting. Further investigation and larger studies are needed in order to find a significant correlation between ¹⁸F-FCH PET indices and OS.

Data Availability

The ¹⁸F-FCH PET/TC data used to support the findings of this study are available from the corresponding author upon request.

Conflicts of Interest

The authors declare that there are no conflicts of interest regarding the publication of this paper.

References

L. A. Torre, F. Bray, R. L. Siegel, J. Ferlay, J. Lortet-Tieulent, and A. Jemal, “Global cancer statistics, 2012,” CA: A Cancer Journal for Clinicians, vol. 65, no. 2, pp. 87–108, 2015.

M. C. S. Wong, W. B. Goggins, H. H. X. Wang et al., “Global incidence and mortality for prostate cancer: analysis of temporal patterns and trends in 36 countries,” European Urology, vol. 70, no. 5, pp. 862–874, 2016.

M. Kirby, C. Hirst, and E. D. Crawford, “Characterising the castration-resistant prostate cancer population: a systematic review,” International Journal of Clinical Practice, vol. 65, no. 11, pp. 1180–1192, 2011.

S. Halabi, C.-Y. Lin, W. K. Kelly et al., “Updated prognostic model for predicting overall survival in first-line chemotherapy for patients with metastatic castration-resistant prostate cancer,” Journal of Clinical Oncology, vol. 32, no. 7, pp. 671–677, 2014.

D. A. Loblaw, C. Walker-Dilks, E. Winquist, and S. J. Hotte, “Systemic therapy in men with metastatic castration-resistant prostate cancer: a systematic review,” Clinical Oncology, vol. 25, no. 7, pp. 406–430, 2013.

A. A. Azad, B. J. Eigl, R. Leibowitz-Amit et al., “Outcomes with abiraterone acetate in metastatic castration-resistant prostate cancer patients who have poor performance status,” European Urology, vol. 67, no. 3, pp. 441–447, 2015.

D. L. Suzman, B. Luber, M. T. Schweizer, R. Nadal, and E. S. Antonarakis, “Clinical activity of enzalutamide versus docetaxel in men with castration-resistant prostate cancer progressing after abiraterone,” The Prostate, vol. 74, no. 13, pp. 1278–1285, 2014.

O. Sartor, R. Coleman, S. Nilsson et al., “Effect of radium-223 dichloride on symptomatic skeletal events in patients with castration-resistant prostate cancer and bone metastases: results from a phase 3, double-blind, randomised trial,” The Lancet Oncology, vol. 15, no. 7, pp. 738–746, 2014.

K. L. Wallitt, S. R. Khan, S. Dubash, H. H. Tam, S. Khan, and T. D. Barwick, “Clinical PET imaging in prostate cancer,” RadioGraphics, vol. 37, no. 5, pp. 1512–1536, 2017.

E. E. Parent and D. M. Schuster, “Update on ¹⁸F-fluciclovine PET for prostate cancer imaging,” Journal of Nuclear Medicine, vol. 59, no. 5, pp. 733–739, 2018.

C. Nanni, L. Zanoni, C. Pultrone et al., “¹⁸F-FACBC (anti1-amino-3-¹⁸F-fluorocyclobutane-1-carboxylic acid) versus ¹¹C-choline PET/CT in prostate cancer relapse: results of a prospective trial,” European Journal of Nuclear Medicine and Molecular Imaging, vol. 43, no. 9, pp. 1601–1610, 2016.

S. M. Schwarzenböck, A. Knieling, M. Souvatzoglou et al., “[¹¹C]choline PET/CT in therapy response assessment of a neoadjuvant therapy in locally advanced and high risk prostate cancer before radical prostatectomy,” Oncotarget, vol. 7, no. 39, pp. 63747–63757, 2016.

S. M. Schwarzenböck, M. Eiber, G. Kundt et al., “Prospective evaluation of [¹¹C]choline PET/CT in therapy response assessment of standardized docetaxel first-line chemotherapy in patients with advanced castration refractory prostate cancer,” European Journal of Nuclear Medicine and Molecular Imaging, vol. 43, no. 12, pp. 2105–2113, 2016.

J. Liu, Z. Chen, T. Wang et al., “Influence of four radiotracers in PET/CT on diagnostic accuracy for prostate cancer: a bivariate random-effects meta-analysis,” Cellular Physiology and Biochemistry, vol. 39, no. 2, pp. 467–480, 2016.

U. De Giorgi, P. Caroli, S. L. Burgio et al., “Early outcome prediction on ¹⁸F-fluorocholine PET/CT in metastatic castration-resistant prostate cancer patients treated with abiraterone,” Oncotarget, vol. 5, no. 23, pp. 12448–12458, 2014.

P. Caroli, U. De Giorgi, E. Scarpi et al., “Prognostic value of ¹⁸F-choline PET/CT metabolic parameters in patients with metastatic castration-resistant prostate cancer treated with abiraterone or enzalutamide,” European Journal of Nuclear Medicine and Molecular Imaging, vol. 45, no. 3, pp. 348–354, 2018.

F. Maines, O. Caffo, D. Donner et al., “Serial ¹⁸F-choline-PET imaging in patients receiving enzalutamide for metastatic castration-resistant prostate cancer: response assessment and imaging biomarkers,” Future Oncology, vol. 12, no. 3, pp. 333–342, 2016.

U. De Giorgi, P. Caroli, E. Scarpi et al., “¹⁸F-fluorocholine PET/CT for early response assessment in patients with metastatic castration-resistant prostate cancer treated with enzalutamide,” European Journal of Nuclear Medicine and Molecular Imaging, vol. 42, no. 8, pp. 1276–1283, 2015.

M. Soret, S. L. Bacharach, and I. Buvat, “Partial-volume effect in PET tumor imaging,” Journal of Nuclear Medicine, vol. 48, no. 6, pp. 932–945, 2007.

H. I. Scher, M. J. Morris, W. M. Stadler et al., “Trial design and objectives for castration-resistant prostate cancer: updated recommendations from the prostate cancer clinical trials working group 3,” Journal of Clinical Oncology, vol. 34, no. 12, pp. 1402–1418, 2016.

J. H. O, M. A. Lodge, and R. L. Wahl, “Practical PERCIST: a simplified guide to PET response criteria in solid tumors 1.0,” Radiology, vol. 280, no. 2, pp. 576–584, 2016.

P. Cornford, J. Bellmunt, M. Bolla et al., “EAU-ESTRO-SIOG guidelines on prostate cancer. part II: treatment of relapsing, metastatic, and castration-resistant prostate cancer,” European Urology, vol. 71, no. 4, pp. 630–642, 2017.

V. Bettinardi, L. Presotto, E. Rapisarda, M. Picchio, L. Gianolli, and M. C. Gilardi, “Physical performance of the new hybrid PET/CT discovery-690,” Medical Physics, vol. 38, no. 10, pp. 5394–5411, 2011.

F. Gallivanone, M. Interlenghi, C. Canervari, and I. Castiglioni, “A fully automatic, threshold-based segmentation method for the estimation of the metabolic tumor volume from PET images: validation on 3D printed anthropomorphic oncological lesions,” Journal of Instrumentation, vol. 11, no. 1, Article ID C01022, 2016.

F. Gallivanone, C. Canevari, L. Gianolli et al., “A partial volume effect correction tailored for ¹⁸F-FDG-PET oncological studies,” BioMed Research International, vol. 2013, Article ID 780458, 12 pages, 2013.

F. Gallivanone, C. Canevari, I. Sassi et al., “Partial volume corrected ¹⁸F-FDG PET mean standardized uptake value correlates with prognostic factors in breast cancer,” Quarterly Journal of Nuclear Medicine and Molecular Imaging, vol. 58, no. 9, pp. 424–439, 2014.

O. Caffo, F. Maines, D. Donner, A. Veccia, F. Chierichetti, and E. Galligioni, “Impact of enzalutamide administration on primary prostate cancer volume: a metabolic evaluation by choline positron emission tomography in castration-resistant prostate cancer patients,” Clinical Genitourinary Cancer, vol. 12, no. 5, pp. 312–316, 2014.

S. A. Kwee, J. Lim, A. Watanabe, K. Kromer-Baker, and M. N. Coel, “Prognosis related to metastatic burden measured by ¹⁸F-fluorocholine PET/CT in castration-resistant prostate cancer,” Journal of Nuclear Medicine, vol. 55, no. 6, pp. 905–910, 2014.

F. Ceci, P. Castellucci, T. Graziani et al., “¹¹C-choline PET/CT in castration-resistant prostate cancer patients treated with docetaxel,” European Journal of Nuclear Medicine and Molecular Imaging, vol. 43, no. 1, pp. 84–91, 2015.