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Radiation Oncology (London, England) logoLink to Radiation Oncology (London, England)
. 2019 Aug 6;14:140. doi: 10.1186/s13014-019-1342-9

FDG-PET parameters predict for recurrence in anal cancer – results from a prospective, multicentre clinical trial

Michael Peter Jones 1,2,, George Hruby 3, Ur Metser 4, Swetha Sridharan 5, Anne Capp 5, Mahesh Kumar 5, Sarah Gallagher 5, Natalie Rutherford 6, Carl Holder 7, Christopher Oldmeadow 7, Jarad Martin 2,5
PMCID: PMC6685144  PMID: 31387597

Abstract

Background

To investigate the prognostic significance of positron emission tomography (PET) parameters from F-18 fluorodeoxyglucose (FDG) PET scans performed pre- and post- chemo-radiotherapy (CRT) for squamous cell carcinoma of the anal canal (AC).

Methods

From January 2013 to January 2017, 19 patients with non-metastatic AC enrolled on a prospective trial underwent FDG-PET/CT imaging before and 12 weeks following CRT. A computer-generated volume of interest (VOI) was snapped around the primary tumour using six different standard uptake value (SUV) thresholds and the following parameters were extracted: SUV max, mean, median, standard deviation and peak as well as metabolic tumour volume (MTV) and total lesion glycolysis. Exact logistic regression and ROC AUC analyses were performed for each metric at each timepoint.

Results

With a median follow up of 15.8 months, 3/19 patients had a local recurrence and 5/19 had any recurrence. On post-CRT PET, the median SUV within a VOI bounded by an SUV of 3 correlated with local recurrence (p < 0.01) and demonstrated excellent discrimination (ROC AUC 1.00, perfect separation was achieved at a median SUV of 3.38). The mean SUV at this threshold did not quite reach significance for prediction of local recurrence (p = 0.06) but demonstrated excellent discrimination (ROC AUC 0.91). The MTV bounded by a threshold of 41% SUVmax on the pre-CRT PET predicted for any recurrence (p = 0.03) and showed excellent discrimination (ROC AUC 0.89).

Conclusions

FDG-PET parameters are predictive of recurrence in AC. FDG-PET may represent a valuable tool for prognostication and response assessment in AC.

Trial registration

ANZCTR, ACTRN12614001219673. Registered 19 November 2014 - Retrospectively registered.

Keywords: Anal cancer, Positron emission tomography, Chemo-radiotherapy

Background

Squamous cell carcinoma of the anal canal (AC) is an uncommon tumour with increasing incidence [1]. Standard treatment is definitive chemo-radiotherapy which allows for organ preservation [2, 3], with abdomino-perineal resection (APR) reserved for salvage.

Fluorodeoxyglucose-positron emission tomography/computed tomography (FDG-PET/CT) is recommended for both staging and radiotherapy planning in AC [4]. It is also being used by some groups for response assessment. However, current evidence to support this practice is principally limited to retrospective studies using visual PET analysis of scans performed at widely variable time points [59]. As such, the role of post-CRT FDG-PET/CT imaging remains controversial with questions remaining over scan timing and their interpretation.

Quantitative analysis of PET parameters represents a more accurate, objective, and reproducible means of assessing PET images. Retrospective studies in AC patients extracting PET parameters from pre-CRT PET imaging have correlated maximum standardized uptake value (SUV) and metabolic tumour volume (MTV) with patient outcomes [1014]. Similar studies have not yet been performed on post-CRT PET imaging.

Clinical examination remains the cornerstone of local response assessment following definitive CRT [2]. Close regular follow-up is critical as patients who develop a local recurrence may be potential candidates for salvage APR. Thus, an imaging biomarker could help identify patients at increased risk of recurrence and allow for personalisation of follow-up schedules. We sought to determine whether PET parameters on pre- and/or post-CRT PET scans could predict for recurrence in a cohort of AC patients treated uniformly in a multi-centre prospective clinical trial.

Methods

Patients

Patients with histologically confirmed non-metastatic squamous cell carcinoma of the anal canal were enrolled into a prospective study at three Australian centres investigating the role of multi-parametric magnetic resonance imaging (MRI) as a biomarker in AC. The protocol has been previously published [15]. Patients were staged according to the AJCC Cancer Staging Manual, Seventh Edition. p16 testing was performed on all tumours. Informed consent was obtained from all participants. The study was approved by the Hunter New England Human Research Ethics Committee (reference: HREC/12/HNE/408) and prospectively registered (ACTRN12614001219673).

Chemo-radiotherapy

Patients were treated with Intensity Modulated Radiotherapy (IMRT) or Volumetric Modulated Arc Therapy (VMAT). Prescription dose, contouring, and radiotherapy planning were mandated as per the Australasian Gastrointestinal Trials Group (AGITG) guidelines [16]. Radiotherapy doses ranged from 50.4-54Gy, depending on tumour stage. Continuous infusional 5-Fluorouracil (5-FU) was delivered during the first and fourth weeks of radiation treatment at a dose of 800-1000 mg/m2/day over 5 days. Mitomycin-C at 10 mg/kg was delivered on day one only.

FDG-PET/CT imaging and analysis

FDG-PET/CT was performed at the time of staging (pre-CRT) and 12 weeks post-CRT. Images were acquired on a GE 690, GE 710 or Siemens Biograph mCT PET/CT. Patients were fasted for a minimum of 6 h prior to scanning to ensure a blood glucose level of < 10 mmol/L. Scanning was performed 1 h following FDG injection and extended from vertex of scalp to mid-thigh.

PET images were analysed utilising Mirada Medical workstation [Mirada Medical Ltd., Oxford, UK; software version Mirada XD3 (64-bit)]. A computer-generated volume of interest (VOI) was snapped around the primary tumour only (not involved lymph nodes) using six SUV thresholds from which seven PET parameters were extracted (Table 1).

Table 1.

FDG-PET/CT parameters extracted using absolute and relative SUV thresholds

SUV Parameter SUV Threshold
Maximum 3
Mean 5
Median 10
Standard deviation 41% maximum
Peak 65% maximum
Metabolic tumour volume 80% maximum
Total lesion glycolysis

SUV Standard uptake value

Statistics

Exact logistic regression models were used to assess the ability of the PET parameters to predict local and any recurrence; p-values and Receiver Operator Characteristic Area Under the Curve (ROC AUC) values are reported. A ROC AUC between 0.6–0.7, 0.7–0.8, 0.8–0.9, and 0.9–1.0 was considered to have poor, fair, good, and excellent discrimination performance, respectively. We also performed an elastic net LASSO logistic regression at each time point for all the PET parameters to determine if there was any combination of parameters that were predictive of recurrence. LASSO estimation is a method of constraining the parameter estimates such that they are less prone to over-fitting when the number of parameters is large relative to the number of events; variables that have no predictive ability have coefficients that are “shrunk” all the way to zero.

Results

Patients

Between January 2013 and January 2017, 19 patients were enrolled on the prospective study and underwent FDG-PET/CT imaging pre- and post- CRT. Patient and tumour characteristics are displayed in Table 2. All tumours were p16 positive.

Table 2.

Patient characteristics

No. %
Gender
 Male 3 15.8
 Female 16 84.2
Age
 Median 58.5
 Range 38–77
Clinical T stage
 T1 1 5.3
 T2 9 47.4
 T3 5 26.3
 T4 4 21.1
Clinical N stage
 N0 5 26.3
 N1 6 31.6
 N2 7 36.8
 N3 1 5.3

Outcomes

Medium follow-up was 15.8 months (range: 8.2–54.3). Three patients (15.8%) developed a local recurrence, one of whom also experienced regional and distant recurrence. Two patients developed distant metastatic disease without local recurrence for a total of five patients (26.3%) with any recurrence. At last follow-up, one patient had died of disease.

FDG-PET parameters

Post-CRT PET parameters extracted from a VOI bounded by an SUV of 3 demonstrated the most promise (Table 3). The median SUV was the only statistically significant parameter for local recurrence (p < 0.01) and showed excellent discrimination (ROC AUC 1.00). All patients who had a median SUV greater than 3.4 experienced a local relapse. Median SUV did not reach statistical significance for detection of any recurrence (p = 0.07) and showed only fair discrimination (ROC AUC 0.75). The mean SUV at this threshold did not quite reach significance for prediction of local recurrence (p = 0.06) but displayed excellent discrimination (ROC AUC 0.91). For prediction of any recurrence, the only parameter reaching statistical significance was the MTV bounded by 41% maximum SUV on the pre-CRT PET (p = 0.03) which also showed excellent discrimination (ROC AUC 0.89). None of the pre-CRT PET scan parameters correlated with local recurrence. On LASSO regression, the only parameter retained was the SUVmax on the post-CRT PET. Figure 1 shows example FDG-PET/CT imaging in a patient who did (a-b), and a patient who did not (c-d), subsequently experience a local recurrence.

Table 3.

Post-CRT FDG-PET/CT results for local recurrence using an SUV threshold of 3

SUV Parameter P-value AUC
Max 0.26 0.76
Mean 0.06 0.91
Median < 0.01 1.00
Standard deviation 0.32 0.73
Peak 0.38 0.67
Volume 0.17 0.66
Total lesion glycolysis 0.16 0.67

CRT Chemo-radiotherapy, SUV Standard uptake value, AUC Area under the curve

Fig. 1.

Fig. 1

Pre- (a) and post- (b) chemo-radiotherapy FDG-PET/CT of a patient who did not experience a local recurrence. Pre- (c) and post- (d) chemo-radiotherapy FDG-PET/CT of a patient who subsequently experienced a local recurrence

Discussion

Herewith we report the utility of both pre- and post-CRT PET parameters for outcome prediction in a cohort of AC patients. The patients were uniformly treated according to mandated contouring and dosing guidelines on a prospective multi-centre trial with FDG-PET/CT scans performed at the time of staging, and at 12 weeks post-completion of CRT.

Due to the small sample size, no definitive conclusions can be made regarding any particular parameter, but our findings provide several valuable insights. Firstly, post-CRT PET imaging appears to better predict for local recurrence than does pre-CRT imaging. Secondly, while a volumetric parameter (MTV) was more predictive of recurrence on pre-CRT PET imaging (in keeping with some previous studies), SUV parameters were more predictive on post-CRT imaging. Thirdly, PET parameters extracted from the primary tumour of post-CRT images better predict local than any recurrence, as may be expected, however this was not true for the pre-CRT images.

Quantitative PET imaging

SUVmax is the most commonly used PET parameter in clinical practice. It is simple and quick to measure but is subject to noise because its value is taken from a single voxel. Alternatively, SUV mean, median or standard deviation within a VOI bounded by a threshold SUV may be more robust [17]. SUV thresholds for bounding VOI may be absolute (e.g. 3, 5, or 10) or relative to the SUVmax of the tumour. Another PET parameter in use is the peak SUV which is the average SUV contained within a small VOI approximating 1 cm3 that encompasses the voxels surrounding the SUVmax.

Volumetric PET parameters include the MTV, a measure of metabolic tumour volume above a threshold SUV, and total lesion glycolysis (TLG), which is the product of the mean SUV and MTV. Many feel that MTV and TLG better reflect metabolic tumour burden [17] and studies that have correlated MTV and TLG with prognosis [1820] have included both cervical and head and neck cancer treated with CRT [21, 22].

Pre-treatment PET imaging in anal cancer

FDG-PET/CT is recommended for AC staging and radiotherapy planning [2, 4]. Retrospective studies have correlated staging PET parameters with outcome in AC. Kidd et al. reported that a higher SUVmax was associated with an increased risk of lymph node metastases and worse disease-free survival [10]. In a smaller study, Deantonio et al. also showed that higher SUVmax predicted for more advanced stage but were unable to demonstrate any correlation with survival [11].

Three other studies were unable to correlate SUVmax with outcome [1214]. They did however correlate MTV with outcome, although at different cut-off values. This is likely due to varying techniques used to calculate the MTV. Bazan et al. used a threshold of 50% SUVmax, included the primary and any nodal disease, and found a cut-point of 26 ml correlated with PFS [12]. Gauthe and colleagues also used a threshold of 50% SUVmax but only included the primary tumour. They found a cut-off of 7 ml correlated with overall survival [13]. Shali et al. included all metabolically active disease (primary, lymph nodes, and distant metastases) and used a threshold to define the volume of 30% of the SUVmax [14]. Not surprisingly, the MTV cut-off was higher (45 ml) than the others.

While these studies suffered from a retrospective design and heterogenous treatments, we too found that a volumetric parameter on the pre-treatment PET better correlated with recurrence than an SUV parameter. Our volume was bounded by 41% of the SUVmax and surrounded the primary tumour only. We chose to focus on the primary tumour as this is the most common site of recurrence [2325] and is more practical to measure in routine clinical practice. We also pre-determined which parameters to examine prior to performing our analysis in order to reduce the impact of multiple statistical testing.

Post-treatment PET imaging in anal cancer

Retrospective studies have investigated the predictive value of post-treatment PET scans in AC [59]. While most have reported that a complete response on PET correlated with improved survival, all suffered from heterogeneous treatment, variable timing of PET imaging, and visual assessment only. Following definitive treatment, the timing of PET imaging in particular can have a significant impact on the sensitivity and specificity.

This was highlighted in a thorough prospective study by Mistrangelo et al. who performed PET imaging and anal biopsies at 1- and 3-months post completion of CRT on 53 patients [26]. Again, treatment techniques varied and imaging assessment was qualitative, but compared to 1 month, PET imaging at 3 months was found to have both improved sensitivity (66.6 vs. 100%) and specificity (92.5 vs. 97.4%) for detection of persistent disease.

The timing of post treatment PET imaging in the published retrospective studies ranged from 0.9–5.4 months [5], 2-7 months [6], 1-8 months [7], 1-8 months [8], and 1-6 months [9]. This significantly undermines the ability to draw robust conclusions from their data and limits its application to clinical practice.

Cardenas et al. is the only published study to perform quantitative analysis of post-treatment PET imaging [27]. Treatment was non-standardised, the only parameter assessed was SUVmax and, unfortunately, they fail to report a range for the timing of PET imaging. In addition, their follow-up ranged from 3.6–94.1 months, which is less than the median time to PET imaging (3.8 months). As such, our analysis is both novel and lacks some of the weaknesses present in the current literature.

While our study has many strengths, its major limitation is the small sample size which reflects the scarcity of AC. We also acknowledge that extracting seven PET parameters at six SUV thresholds generated a large amount of data which increased the likelihood of finding significant outcomes. However, such an exploratory analysis is useful for identifying signals which warrant further investigation in larger patient cohorts, which was the aim of this preliminary study.

That FDG-PET/CT imaging was performed on three different PET/CT systems is both a strength and weakness. While it introduces more variables, our results are likely more robust, they reflect real world practice, and are hence more applicable in the community. Future studies could consider including all metabolically active disease (primary and nodes) which may (or may not) better predict for any recurrence.

Finally, the emergence of digital PET/CT with enhanced image quality, greater sensitivity, increased signal to noise ratio, faster time-of-flight resolution, and improved quantitative accuracy means that PET/CT will represent an increasingly attractive biomarker in the future [28].

Conclusions

PET-parameters extracted from the primary tumour on FDG-PET/CT scans performed pre- and at 12 weeks following completion of CRT for AC correlate with recurrence and warrant further investigation in larger patient cohorts.

Acknowledgements

We would like to acknowledge the important contribution of Joanne Smart, a trial coordinator, and the site leads at Liverpool and Royal Prince Alfred Hospitals: Drs Mark Lee, Karen Wong, and Sue Carroll. Funding was provided by a Hunter Translational Cancer Research Unit Grant and a Royal Australian and New Zealand College of Radiologists Research Grant.

Abbreviations

AC

Anal cancer

AGITG

Australasian Gastrointestinal Trials Group

APR

Abdomino-perineal resection

AUC

Area under the curve

CRT

Chemo-radiotherapy

CT

Computed tomography

FDG

Fluorodeoxyglucose

IMRT

Intensity modulated radiation therapy

MRI

Magnetic resonance imaging

MTV

Metabolic tumour volume

PET

Positron emission tomography

ROC

Receiver operating characteristics

SUV

Standardised uptake value

TLG

Total lesion glycolysis

VMAT

Volumetric modulated radiation therapy

VOI

Volume of interest

Authors’ contributions

JM conceived of the study and contributed to the protocol and manuscript. SG helped run the study and collect data. SS, AC, and MK recruited patients to the study and provided feedback on the protocol. GH recruited patients to the study and contributed to the manuscript. NR provided imaging support during the study. UM assisted with the imaging analysis. CH and CO performed the statistical analysis. MJ wrote the protocol, ran the study, performed the imaging analysis and wrote the manuscript. All authors read and approved the final manuscript.

Funding

Funding was provided by a Hunter Translational Cancer Research Unit Grant and a Royal Australian and New Zealand College of Radiologists Research Grant.

Availability of data and materials

The datasets analysed during the current study are available from the corresponding author on reasonable request.

Ethics approval and consent to participate

The study was approved by the Hunter New England Human Research Ethics Committee (reference: HREC/12/HNE/408).

Consent for publication

Informed consent was obtained from all participants.

Competing interests

The authors declare that they have no competing interests.

Footnotes

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Contributor Information

Michael Peter Jones, Phone: +61 3 6166 8000, Email: Michael.Jones@ths.tas.gov.au.

George Hruby, Email: George.Hruby@health.nsw.gov.au.

Ur Metser, Email: Ur.Metser@uhn.ca.

Swetha Sridharan, Email: Swetha.Sridharan@calvarymater.org.au.

Anne Capp, Email: Anne.Capp@calvarymater.org.au.

Mahesh Kumar, Email: Mahesh.Kumar@calvarymater.org.au.

Sarah Gallagher, Email: Sarah.Gallagher@calvarymater.org.au.

Natalie Rutherford, Email: Natalie.Rutherford@hnehealth.nsw.gov.au.

Carl Holder, Email: Carl.Holder@hmri.org.au.

Christopher Oldmeadow, Email: Christopher.Oldmeadow@hmri.org.au.

Jarad Martin, Email: Jarad.Martin@calvarymater.org.au.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The datasets analysed during the current study are available from the corresponding author on reasonable request.


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