Literature DB >> 31413633

Prognostic values of baseline, interim and end-of therapy 18F-FDG PET/CT in patients with follicular lymphoma.

Yeye Zhou1, Zixuan Zhao1, Yiwei Wu1, Jihui Li1, Bin Zhang1, Shibiao Sang1, Shengming Deng1.   

Abstract

PURPOSE: In the present study, we aimed to investigate the role of baseline, interim and end-of treatment positron emission tomography/computed tomography (PET/CT) in assessing the prognosis of follicular lymphoma (FL).
METHODS: A total of 84 FL patients were retrospectively analyzed in this study. Baseline (n=59), interim (n=24, after 2-4 cycles) and end-of treatment (n=43) PET/CT images were re-evaluated, and baseline maximum standardized uptake value (SUVmax), total metabolic tumor volume (tMTV) and total lesion glycolysis (TLG) were recorded. Interim (I-PET) and end-of treatment (E-PET) PET/CT responses were interpreted by Deauville five-point scale (D-5PS) and International Harmonization Project criteria (IHP). Survival curves were calculated by Kaplan-Meier curves, and differences between groups were compared by log-rank test.
RESULTS: The 2-year progression-free survival (PFS) of the high- and low-TLG groups was 57.14% and 95.56%, respectively (p=0.0001). The 2-year overall survival (OS) of the high- and low-TLG groups was 62.50% and 100%, respectively (p<0.0001). Multivariate analysis showed that TLG was an independent prognostic factor for PFS (p=0.001, HR=6.577, 95% CI=2.167-19.960) and OS (p=0.030, HR=19.291, 95% CI =2.689-137.947). Besides, Eastern Cooperative Oncology Group (ECOG) was the independent prognostic factor for OS (HR=8.924, 95% CI=1.273-62.559, p=0.028). Interim PET results based on D-5PS or IHP criteria were not significantly correlated with PFS (all p>0.05). However, E-PET results using D-5PS and IHP criteria were statistically significant (p=0.0001 and p=0.006). The D-5PS showed stronger prognostic value compared with IHP criteria. The optimal cutoff value of ΔSUVmax% was 66.95% according to I-PET and 68.97% according to E-PET. However, only the ΔSUVmax% from the baseline to the end-of therapy yielded statistically significant results in the prediction of PFS (p=0.0002).
CONCLUSION: Our findings indicated that the baseline TLG and E-PET results were significantly associated with prognosis in patients with FL.

Entities:  

Keywords:  D-5PS; IHP; MTV; PET/CT; TLG; follicular lymphoma

Year:  2019        PMID: 31413633      PMCID: PMC6662523          DOI: 10.2147/CMAR.S216445

Source DB:  PubMed          Journal:  Cancer Manag Res        ISSN: 1179-1322            Impact factor:   3.602


Introduction

Follicular lymphoma (FL) is the second most common subtype of non-Hodgkin lymphoma (NHL) in Western countries, accounting for approximately 20% to 25% of NHL.1 Although rituximab in combination with chemotherapy has improved the prognosis of FL patients, approximately 20% of patients have relapse within 2 years after first-line treatment, with a 5-year overall survival (OS) rate of only 50%.2,3 However, these patients are not easily identified by current clinical indices of risk, such as the Follicular Lymphoma International Prognostic Index (FLIPI) or FLIPI2 scores. Therefore, early identification of high-risk factors that have a strong prognostic value for progression is particularly important. The role of 18F-fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT) in the staging and response assessment of lymphoma has been widely established.4–6 The maximum standardized uptake value (SUVmax) is the most widely studied parameter for assessing disease activity in lymphoma.7 However, reliability is affected by partial volume effect, blood glucose level and time after injection.8 Recently, several studies have shown that metabolic tumor volume (MTV) and total lesion glycolysis (TLG) are promising prognostic indices in lymphoma, such as diffuse large B-cell lymphoma (DLBCL)4,9 and Hodgkin lymphoma (HL)10 However, only very few studies have investigated the prognostic value of baseline total MTV and TLG in FL patients. The International Harmonization Project criteria (IHP) and the Deauville five-point scale (D-5PS) are commonly used to assess treatment outcome during and after first-line therapy.11,12 However, the roles of interim PET/CT and end-of treatment PET/CT in determining the prognosis still remain controversial.11,13,14 In the present study, we aimed to investigate the prognostic value of semi-quantitative parameters, tMTV, TLG and SUVmax, measured at baseline 18F-FDG PET/CT in FL. We also compared the two different criteria (D-5PS and IHP) for exploring the prognostic value of interim and end-of treatment 18F-FDG PET/CT.

Materials and methods

Patients

A retrospective analysis was performed in the present study, which consisted of 84 FL patients (age 25–80 years, mean age of 51 years) who were diagnosed between March 2013 and December 2018. Inclusion criteria were as follows: (1) age ≥18 years, (2) histologically confirmed as FL, (3) patients who underwent baseline PET/CT (B-PET), or/and interim PET/CT (I-PET) after 2–4 cycles of chemotherapy, or/and end-of treatment PET/CT (E-PET) after all planned first-line therapy. Clinical pathological features of patients were also determined, including epidemiological features (gender, age), clinical information [B symptoms, FLIPI score, LDH (lactate dehydrogenase) level, hemoglobin level], Ann Arbor stage, histologic grade, bone marrow biopsy, Eastern Cooperative Oncology Group (ECOG) performance status and imaging data. The FLIPI score was determined according to age ≥60 years, Ann Arbor stage III–IV, hemoglobin level <120 g/L, elevated LDH and number of extranodal sites >4.15 Of the enrolled patients, 70 patients received (rituximab, cyclophosphamide, doxorubicin, vincristine, prednisone) R-CHOP/R-CHOP-like regimens, eight patients didn’t receive treatment due to lack of indications, and six patients were treated with other treatment regimens, including R-FM (rituximab, fludarabine and mitoxantrone), R-CVP (rituximab, cyclophosphamide, vincristine and prednisone) and rituximab alone. This study was approved by the institutional review board of the First Affiliated Hospital of Soochow University. Trial registration number: ChiCTR1900023183. Because the trial was a retrospective study, written informed consent for this study was waived by the ethics committee, and no personal information was disclosed. This study was in accordance with the Declaration of Helsinki.

PET/CT acquisition

All the FDG PET/CT images were obtained from the US GE Discovery STE 16 PET/CT scanner. The patients were fasted for at least 6 h prior to the intravenous injection of 18F-FDG (4.07–5.55 M Bq/kg), and the blood glucose level was lower than 11 mmol/L. After intravenous injection of 18F-FDG for an average of 60±10 min, imaging data were obtained using low-dose CT (140 kV, 120 mA, transaxial FOV 70 cm, pitch 1.75, rotation time 0.8 s, slice thickness 3.75 mm), followed by PET emission images, 2–3 min per bed position. Whole body CT and PET images were obtained on the Xeleris Functional Imaging workstation, and the coronal, axial and sagittal slices PET/CT fusion images were obtained by iterative reconstruction.

Image analysis

All PET/CT images were reviewed by two experienced nuclear medicine physicians using the Advantage Workstation 4.3_05 (AW4.3_05). In baseline PET, the highest FDG uptake was considered to be the SUVmax of the patient. For the interim PET/CT and end-of PET/CT images, SUVmax was measured in residual lesions. If the lesion was disappeared after treatment, a region of interest was drawn in the same area on the baseline PET. The percentage change of SUVmax was calculated using the following equation: ΔSUVmax% = [SUVmax (baseline)–SUVmax (post-therapy)]/SUVmax (baseline)×100. A threshold of 41% SUVmax was used to delineate the metabolic tumor volume (MTV), as recommended by the European Association of Nuclear Medicine.16 Total MTV (tMTV) referred to the sum of MTV of all lesions, and TLG was the sum of the product of MTV and its SUVmean in each lesion. Bone marrow involvement was considered in volume measurement only if there was focal uptake. Splenic involvement was considered if there was focal uptake or diffuse uptake higher than 150% of the liver background.17 The interim and end-of treatment PET/CT results were assessed according to the IHP18 and D-5PS19 criteria. For IHP criteria, FDG uptake greater than the uptake of the mediastinum in lesions greater than or equal to 2 cm and more than the adjacent background tissue in lesions less than 2 cm represented residual disease. The D-5PS scoring system was used to qualitatively evaluate the treatment response as follows: (1) no uptake; (2) uptake ≤ mediastinal blood pool; (3) uptake > mediastinal blood pool, but ≤ liver; (4) uptake moderately increased compared with the liver uptake at any site; (5) uptake markedly increased compared with the liver at any site. Scores of 4–5 were considered positive, while scores of 1–3 were considered negative.

Statistical analysis

All statistical analyses were performed using SPSS software (version 22, Chicago, IL). The Pearson chi-square test and Fisher’s exact test were used to analyze the relationships between the PET/CT results and clinical variables. Correlations between clinical characteristics and SUVmax, tMTV or TLG were assessed using the Spearman correlation test. The suitable cutoff points of SUVmax, tMTV, TLG and ΔSUVmax% were obtained using the receiver operating characteristic (ROC) curve, and the area under the curve (AUC) was calculated. Progression-free survival (PFS) was defined from diagnosis to disease progression (increased uptake of FDG-PET/CT, increased tumor volume, changes in laboratory examinations and clinical symptoms), death or last follow-up. OS was defined from diagnosis to the date of death or last follow-up. Survival curve was plotted by Kaplan-Meier curves, and differences between groups were compared by log-rank test. The multivariate survival analysis was performed using the Cox proportional hazards model. OS was only analyzed with baseline PET/CT due to the small number of events. Differences in sensitivity, specificity, accuracy, positive predictive value (PPV) and negative predictive value (NPV) were compared using McNemar’s test. Differences in ΔSUVmax% between different clinical outcomes were assessed using the Mann-Whitney U-test. A p-value of <0.05 was considered as statistically significant.

Results

Characteristics and outcomes of patients

A total of 84 patients were enrolled between March 2013 and December 2018. Table 1 lists the clinical characteristics of all patients. After a median follow-up of 34 months (range of 2–83 months), 22 patients showed relapse or disease progression at a median time of 18.5 months (range of 2–42 months), and six patients died at a median time of 19 months (2, 9, 14, 24, 34 and 36 months, respectively). The 1-year and 2-year PFS were 89.29% (75/84) and 83.33% (70/84), respectively, and the 1-year and 2-year OS were 97.62% (82/84) and 95.24% (80/84), respectively. The median PFS was 26.5 months (range of 2–75 months), and the median OS was 34 months (range of 2–84 months).
Table 1

Characteristics of FL patients

CharacteristicNo. of patients (n=84)
Sex (male)43 (51.19%)
Age median (range)51 (25–80)
B symptoms (Yes)29 (34.52%)
Ann Arbor stage (III/IV)63 (75.00%)
Histologic grade
 High23 (27.38%)
 Low52 (61.90%)
 Unknown9 (10.71%)
ECOG >113 (15.48%)
BM (+)21 (25.00%)
LDH (Increased)21 (25.00%)
FLIPI
 0–251 (60.71%)
 3–533 (39.29%)
 B-PET number59
 I-PET number24
 E-PET number43

Abbreviations: ECOG, Eastern Cooperative Oncology Group; BM: bone marrow; FLIPI, Follicular Lymphoma International Prognostic Index.

Characteristics of FL patients Abbreviations: ECOG, Eastern Cooperative Oncology Group; BM: bone marrow; FLIPI, Follicular Lymphoma International Prognostic Index.

Baseline PET/CT

Clinical characteristics of patients in relation to tMTV, TLG and SUVmax

A total of 59 patients underwent B-PET. After a median follow-up of 34 months (range of 2–75 months), 13 patients showed relapse or disease progression (Figures 1 and 2), with a median time of 24 months (range of 2–42 months), and five patients died with a median time of 24 months (range of 2–36 months).
Figure 1

The baseline 18F-FDG PET/CT (A) image showed hypermetabolic lesions with TLG of 2,366.61. I-PET (B) after four cycles of R-CHOP therapy, and E-PET (C) after end-of therapy showed no hyper-metabolic lesions. After 11 months of therapy, the patient experienced relapse. 18F-FDG PET/CT (D) showed increased 18F-FDG uptake in the liver, abdomen and right pelvic (arrows).

Figure 2

The baseline PET/CT (A) image showed hypermetabolic lesion in the left cervical lymph node (arrows) with a TLG of 65. E-PET (B) after end-of therapy did not show hypermetabolic lesions and no recurrence after the 49-month follow-up.

The baseline 18F-FDG PET/CT (A) image showed hypermetabolic lesions with TLG of 2,366.61. I-PET (B) after four cycles of R-CHOP therapy, and E-PET (C) after end-of therapy showed no hyper-metabolic lesions. After 11 months of therapy, the patient experienced relapse. 18F-FDG PET/CT (D) showed increased 18F-FDG uptake in the liver, abdomen and right pelvic (arrows). The baseline PET/CT (A) image showed hypermetabolic lesion in the left cervical lymph node (arrows) with a TLG of 65. E-PET (B) after end-of therapy did not show hypermetabolic lesions and no recurrence after the 49-month follow-up. Table 2 lists the differences in clinical characteristics among the dichotomized tMTV, TLG and SUVmax groups. Pearson chi-square test and Fisher’s exact test showed that the LDH level and FLIPI score were significantly associated with tMTV, TLG and SUVmax, whereas Ann Arbor stage, bone marrow biopsy, LodLIN (cm) and number of involved nodes were significantly associated with a higher tMTV and TLG, but not SUVmax. B symptoms and ECOG were significantly associated with a higher SUVmax, but not tMTV and TLG. Meanwhile, the number of extranodal sites was significantly associated with a higher tMTV and SUVmax, but not TLG.
Table 2

Comparison between low and high tMTV, TLG and SUVmax groups

Clinical Factors (n=59)tMTVTLGSUVmax
LowHighpLowHighpLowHighp
Sex
Female (26)1790.1512240.1521970.417
Male (33)16172310267
Age
>60 (18)990.3721350.4311260.205
≤60 (41)2417329338
B symptoms
Yes (18)8100.1861260.2051080.018*
NO (41)2516338356
Ann Arbor stage
I/II (18)1800.000*1800.003*1530.311
III/IV (41)152627143011
ECOG
0–1 (48)29190.13338100.2364080.015*
≥2 (11)477456
No. of extranodal sites
<1 (36)2790.000*3060.1013240.006*
≥1 (23)6171581310
BM
+ (18)6120.021*1080.018*1440.569
- (41)27143563110
LDH
Increased (16)5110.021*880.007*880.007*
- (43)2815376376
FLIPI
1–2 (36)2880.000*3420.000*3240.006*
3–5 (23)51811121310
LodLIN (cm)
>6cm (14)4100.020*680.002*950.196
<6cm (45)2916396369
No. of involved nodes
>4 (33)10230.000*19140.000*23100.152
≤4 (26)233360224

Note: *Statistically significant.

Abbreviations: tMTV, total metabolic tumor volume; TLG, total lesion glycolysis; SUVmax, maximum standardized uptake value; ECOG, Eastern Cooperative Oncology Group; BM, bone marrow; LDH, lactate dehydrogenase; FLIPI, Follicular Lymphoma International Prognostic Index.

Comparison between low and high tMTV, TLG and SUVmax groups Note: *Statistically significant. Abbreviations: tMTV, total metabolic tumor volume; TLG, total lesion glycolysis; SUVmax, maximum standardized uptake value; ECOG, Eastern Cooperative Oncology Group; BM, bone marrow; LDH, lactate dehydrogenase; FLIPI, Follicular Lymphoma International Prognostic Index.

Correlation between clinical characteristics with semi-quantitative parameters

Spearman correlation test showed that the Ann Arbor stage, number of extranodal sites, LDH level, FLIPI score, LodLIN (cm) and number of involved nodes were positively and significantly associated with SUVmax, tMTV or TLG, whereas bone marrow biopsy was positively and significantly associated with tMTV or TLG, but not SUVmax. On the other hand, there was a positive and significant association among SUVmax, tMTV and TLG. (Table 3)
Table 3

Correlation between clinical characteristics with semi-quantitative parameters

SUVmaxtMTVTLG
rprprp
Sex0.1090.410−0.0690.6030.0080.952
Age−0.0140.918−0.0590.656−0.0670.616
B symptoms0.2030.1230.1490.2600.1640.214
Ann Arbor stage0.2990.021*0.738<0.0001*0.687<0.0001*
ECOG0.1210.3600.1380.2970.0840.525
No. of extranodal sites0.473<0.0001*0.453<0.0001*0.533<0.0001*
BM0.0510.7020.486<0.0001*0.4000.002*
LDH0.3710.004*0.2960.023*0.3900.002*
FLIPI0.3150.015*0.628<0.0001*0.618<0.0001*
LodLIN (cm)0.3910.002*0.3800.003*0.512<0.0001*
No. of involved nodes0.3700.004*0.761<0.0001*0.740<0.0001*
SUVmax--0.3930.002*0.636<0.0001*
tMTV0.3930.002*--0.927<0.0001*
TLG0.636<0.0001*0.927<0.0001*--

Note: *Statistically significant.

Abbreviations: tMTV, total metabolic tumor volume; TLG, total lesion glycolysis; SUVmax, maximum standardized uptake value; ECOG, Eastern Cooperative Oncology Group; BM, bone marrow; LDH, lactate dehydrogenase; FLIPI, Follicular Lymphoma International Prognostic Index.

Correlation between clinical characteristics with semi-quantitative parameters Note: *Statistically significant. Abbreviations: tMTV, total metabolic tumor volume; TLG, total lesion glycolysis; SUVmax, maximum standardized uptake value; ECOG, Eastern Cooperative Oncology Group; BM, bone marrow; LDH, lactate dehydrogenase; FLIPI, Follicular Lymphoma International Prognostic Index.

Role of 18F-FDG PET/CT in predicting outcome

Table 4 summarizes the baseline PET/CT metabolic parameters for SUVmax, tMTV and TLG. According to the Kaplan-Meier curve and the log-rank test, patients with high levels of tMTV and TLG had poorer clinical survival compared with those with low levels of tMTV and TLG (Figure 3). Patients with a high level of tMTV had a 2-year PFS rate of 73.77%, while it became 96.97% in patients with a low level of tMTV (cutoff value 179.84 cm3, p=0.005). The 2-year OS rates of the low- and high-tMTV groups were 100% and 70%, respectively (cutoff value 353.04 cm3, p=0.003). Patients with a high level of TLG had a 2-year PFS rate of 57.14%, while it became 95.56% in patients with a low level of TLG (cutoff value 1,364.60, p=0.0001). The 2-year OS rates of the low- and high-TLG groups were 100% and 62.50%, respectively (cutoff value 2,398.00, p<0.0001).
Table 4

Baseline 18F-FDG PET/CT metabolic parameters

PFSOS
AUC (95 %CI)SensitivitySpecificityCutoffpAUC (95 %CI)SensitivitySpecificityCutoffp
tMTV0.727 (0.570–0.884)76.9%65.2%179.840.0130.759 (0.508–1.0)60%87%353.040.057
TLG0.712 (0.553–0.872)53.8%84.8%1364.600.0200.696 (0.419–0.973)60%90.7%2398.000.149
SUVmax0.602 (0.427–0.777)46.2%80.4%10.440.2650.552 (0.233–0.812)40%81.5%11.810.870

Abbreviations: tMTV, total metabolic tumor volume; TLG, total lesion glycolysis; SUVmax, maximum standardized uptake value.

Figure 3

Kaplan-Meier survival curves for the PFS (A, C, E) and OS (B, D, F) The baseline tMTV and TLG results were associated with PFS (A, C) and OS (B, D), and the baseline SUVmax result was associated with PFS (E), but not OS (F).

Baseline 18F-FDG PET/CT metabolic parameters Abbreviations: tMTV, total metabolic tumor volume; TLG, total lesion glycolysis; SUVmax, maximum standardized uptake value. Kaplan-Meier survival curves for the PFS (A, C, E) and OS (B, D, F) The baseline tMTV and TLG results were associated with PFS (A, C) and OS (B, D), and the baseline SUVmax result was associated with PFS (E), but not OS (F). By univariate analysis (Table 5), we found that Ann Arbor stage (p=0.015), SUVmax (p=0.043), tMTV (p=0.005), TLG (p=0.000), number of extranodal sites (p=0.035) and bone marrow biopsy (p=0.019) were significantly associated with PFS.
Table 5

Univariate analysis for survivals

2-years PFSχ2p2-years OSχ2p
B symptoms
Yes83.33%0.2620.60994.44%0.1160.773
No87.80%95.12%
Ann Arbor stage
I/II100.00%5.9740.015*92.68%3.3470.067
III/IV80.49%100.00%
SUVmax
High64.29%4.0930.043*83.33%0.8120.368
Low93.33%97.87%
tMTV
High73.77%7.8780.005*70.00%9.1390.003*
Low96.97%100.00%
TLG
High57.14%14.4980.0001*62.50%16.319<0.0001*
Low95.56%100.00%
FLIPI
1–291.67%1.4520.22897.22%0.1030.748
3–578.26%91.30%
ECOG
0–1 (48)89.58%1.8970.16897.92%6.7660.009*
≥2 (11)72.73%81.82%
No. of extranodal sites
<191.67%4.4310.035*97.22%1.3060.253
≥178.26%91.30%
BM
+72.22%5.4600.019*88.89%3.8270.050*
-92.68%97.56%
LDH
Increased81.25%0.2750.60087.5%0.4890.484
Normal88.37%97.67%
LodLIN (cm)
>6 cm84.44%1.1530.28392.86%0.0190.892
<6 cm92.86%95.56%
No. of involved nodes
>478.79%2.6560.10390.91%0.3080.579
≤496.15%100.00%
Histologic grade
High70.59%2.2570.32494.12%0.4250.809
Low91.67%94.44%
Unknown100.00%100.00%

Note: *Statistically significant.

Abbreviations: tMTV, total metabolic tumor volume; TLG, total lesion glycolysis; SUVmax, maximum standardized uptake value; FLIPI, Follicular Lymphoma International Prognostic Index; ECOG, Eastern Cooperative Oncology Group; BM, bone marrow; LDH, lactate dehydrogenase; PFS, progression- free survival; OS: Overall survival.

Univariate analysis for survivals Note: *Statistically significant. Abbreviations: tMTV, total metabolic tumor volume; TLG, total lesion glycolysis; SUVmax, maximum standardized uptake value; FLIPI, Follicular Lymphoma International Prognostic Index; ECOG, Eastern Cooperative Oncology Group; BM, bone marrow; LDH, lactate dehydrogenase; PFS, progression- free survival; OS: Overall survival. The tMTV (p=0.003), TLG (p<0.0001), ECOG (p=0.009) and bone marrow biopsy (p=0.050) were significantly associated with OS. Multivariate analysis showed (Table 6) that TLG was an independent prognostic factor for PFS (p=0.001, HR=6.577, 95% CI=2.167–19.960). TLG and ECOG were independent prognostic factors for OS (p=0.030, HR=19.291, 95% CI=2.689–137.947 and p=0.028, HR=8.924, 95% CI=1. 273–62.559).
Table 6

Multivariate analysis for survivals

PFSOS
pHR95 %CIpHR95 %CI
Ann Arbor stage0.112ECOG0.028*8.9241.273–62.559
SUVmax0.832tMTV0.615--
tMTV0.221TLG0.030*19.2912.689–137.947
TLG0.001*6.5772.167–19.960BM0.096--
BM0.090
No. of extranodal sites0.278

Note: *Statistically significant.

Abbreviations: tMTV, total metabolic tumor volume; TLG, total lesion glycolysis; SUVmax, maximum standardized uptake value; BM, bone marrow.

Multivariate analysis for survivals Note: *Statistically significant. Abbreviations: tMTV, total metabolic tumor volume; TLG, total lesion glycolysis; SUVmax, maximum standardized uptake value; BM, bone marrow.

Interim PET/CT

Prognostic impact of D-5PS and IHP criteria

A total of 24 patients underwent I-PET after 3–4 cycles of chemotherapy (median of four cycles), among which 15 patients underwent I-PET after four cycles of chemotherapy, and nine patients were imaged after three cycles of chemotherapy. Kaplan–Meier survival analysis demonstrated that I-PET, using any of the evaluation criteria (D-5PS or IHP), was not a prognostic factor for PFS (p>0.05, Figure 4). By using the D-5PS criteria, 10 (41.67%) patients were categorized as score 4 or 5, and 14 (58.33%) patients were categorized as score 1 to 3. Moreover, the 2-year PFS rate was 92.86% for patients with a score of 1–3, and it became 70% for those with a score of 4–5 (p=0.059, Table 7, Figure 5). According to IHP criteria, 12 (50%) patients achieved CR. IHP-negative patients showed a higher PFS rate compared with IHP-positive patients, while the difference was not statistically significant (91.67 vs 75%, p=0.186, Table 7, Figure 5).
Figure 4

Kaplan-Meier survival curves for the PFS of D-5PS criteria (A, B) and IHP criteria (C, D). The I-PET results according to D-5PS (A) and IHP criteria (C) were not associated with PFS; and the E-PET results according to D-5PS (B) and IHP criteria (D) were associated with PFS.

Table 7

Comparison of PFS between positive and negative groups using D-5PS and IHP criteria

Relapse/progression, n (%)2-years PFS
PFSχ2p
I-PET (n=24)D-5PS4–54/10 (40.00%)70.00%3.5520.059
1–31/14 (7.14%)92.86%
IHPPositive4/12 (33.33%)75.00%1.7470.186
Negative1/12 (8.33%)91.67%
E-PET (n=43)D-5PS4–510/14 (71.43%)35.71%15.470<0.0001*
1–34/29 (13.79%)93.10%
IHPPositive11/21 (52.38%)57.14%7.5940.006*
Negative3/22 (13.64%)95.45%

Note: *Statistically significant.

Abbreviations: D-5PS, Deauville five-point scale; IHP, International Harmonization Project criteria.

Figure 5

A patient with interim18F-FDG PET/CT showed increased 18F-FDG uptake in the neck, axilla, mediastinum, abdominal and pelvis. D-5PS and IHP criteria were considered positive for patient, and the patient experienced relapse after 7 months of follow-up. A patient with an interim18F-FDG PET/CT D-5PS (score 1) and negative IHP criteria did not show progression and survived at the end of the 28-month follow-up period (B).

Comparison of PFS between positive and negative groups using D-5PS and IHP criteria Note: *Statistically significant. Abbreviations: D-5PS, Deauville five-point scale; IHP, International Harmonization Project criteria. Kaplan-Meier survival curves for the PFS of D-5PS criteria (A, B) and IHP criteria (C, D). The I-PET results according to D-5PS (A) and IHP criteria (C) were not associated with PFS; and the E-PET results according to D-5PS (B) and IHP criteria (D) were associated with PFS. A patient with interim18F-FDG PET/CT showed increased 18F-FDG uptake in the neck, axilla, mediastinum, abdominal and pelvis. D-5PS and IHP criteria were considered positive for patient, and the patient experienced relapse after 7 months of follow-up. A patient with an interim18F-FDG PET/CT D-5PS (score 1) and negative IHP criteria did not show progression and survived at the end of the 28-month follow-up period (B). Table 8 illustrates the comparisons of the sensitivity, specificity, accuracy, PPV, NPV and AUC of D-5PS and IHP criteria. D-5PS criteria had a better specificity (68.4% vs 57.9%), accuracy (70.8% vs 62.5%), PPV (40% vs 33.3%) and NPV (92.9% vs 91.7%) compared with IHP criteria, while the sensitivity (80% vs 80%) was similar between two criteria (all p>0.05).
Table 8

Predictive values of interim and end-of treatment PET/CT

SensitivitySpecificityAccuracyPPVNPVAUC (95% CI)
I-PET (n=24)D-5PS80.00%68.42%70.83%40.00%92.86%0.742 (0.499–0.985)
IHP80.00%57.89%62.50%33.33%91.67%0.689 (0.436–0.943)
E-PET (n=43)D-5PS71.43%86.21%*81.40%*71.43%*86.21%0.788 (0.629–0.947)
IHP78.57%65.52%69.77%52.38%86.36%0.720 (0.557–0.884)

Note: *Statistically significant.

Abbreviations: PPV, positive predictive value; NPV, negative predictive value.

Predictive values of interim and end-of treatment PET/CT Note: *Statistically significant. Abbreviations: PPV, positive predictive value; NPV, negative predictive value.

Prognostic impact of ΔSUVmax%

Of the 24 patients, 15 patients underwent baseline and interim PET/CT scans, and the ΔSUVmax% between I-PET and B-PET was significantly different between the progression (n=4) and progression-free groups (n=11) (59.34% vs 76.22%, p=0.361). The ROC analysis showed that the optimal cutoff point was 66.95% (AUC: 0.659; sensitivity: 75%; specificity: 72.73%; accuracy: 73.33%; PPV: 50%; NPV: 88.89%) when using ΔSUVmax% as a predictor of progression. Patients with lower ΔSUVmax% (<66.95%) had low PFS compared with those with higher ΔSUVmax% (>66.95%), while the difference was not statistically significant (66.67% vs 88.89%, χ2=2.096, p=0.148, Figure 6).
Figure 6

Kaplan-Meier survival curves for the PFS of ΔSUVmax%. The I-PET results according to ΔSUVmax% (A) were not associated with PFS; and the E-PET results according to ΔSUVmax% (B) were associated with PFS.

Kaplan-Meier survival curves for the PFS of ΔSUVmax%. The I-PET results according to ΔSUVmax% (A) were not associated with PFS; and the E-PET results according to ΔSUVmax% (B) were associated with PFS.

End-of treatment PET/CT

A total of 43 patients underwent end-of treatment PET/CT after all planned first-line therapy. By using the D-5PS criteria, 14 (32.56%) patients were categorized as score 4–5, and 29 (67.44%) patients were categorized as score 1–3. According to IHP criteria, 22 (51.16%) patients showed CR. In patients with a negative PET/CT, the 2-year PFS rates for the D-5PS and IHP criteria were 93.10% and 95.45%, respectively, compared with the corresponding values of 35.71% and 57.14% in patients with a positive PET/CT, respectively (p=0.0001 for D-5PS, and p=0.006 for IHP, Figures 4 and 7).
Figure 7

A patient with end-of therapy 18F-FDG PET/CT showed increased 18F-FDG uptake in the abdomen (arrows). D-5PS and IHP criteria were considered positive for patient, and the patient experienced relapse after 7 months of follow-up (A). A patient with an end-of therapy 18F-FDG PET/CT D-5PS (score 1) and negative IHP criteria did not show progression and survived at the end of the 71-month follow-up period (B).

A patient with end-of therapy 18F-FDG PET/CT showed increased 18F-FDG uptake in the abdomen (arrows). D-5PS and IHP criteria were considered positive for patient, and the patient experienced relapse after 7 months of follow-up (A). A patient with an end-of therapy 18F-FDG PET/CT D-5PS (score 1) and negative IHP criteria did not show progression and survived at the end of the 71-month follow-up period (B). D-5PS criteria had a better specificity (86.21% vs 65.52%), accuracy (81.40% vs 69.77%) and PPV (71.43% vs 52.38%) compared with IHP criteria (all p<0.05), while its sensitivity (7 1.43% vs 78.57%) and NPV (86.21% vs 86.36%) were slightly lower (all p>0.05, Table 8). Of the 43 patients, 28 patients underwent both baseline and end-of treatment PET/CT scans, and the ΔSUVmax% between E-PET and B-PET was significantly different between the progression (n=14) and progression-free groups (n=14) (41.70% vs 82.34%, p=0.003). The ROC analysis showed that the optimal cutoff point was 68.97% (AUC: 0.848; sensitivity: 77.78%; specificity: 89.47%; accuracy: 85.71%; PPV: 77.78%; NPV: 89.47%) when using ΔSUVmax% as a predictor of progression. Patients with lower ΔSUVmax% (<68.97%) had significantly lower PFS compared with those with higher ΔSUVmax% (>68.97%) (22.2% vs 89.5%, χ2=13.774, p=0.0002, Figure 6).

Discussion

18F-FDG PET/CT is currently a standard imaging technology for diagnosis, staging and prediction of prognosis in patients with HL or NHL.6,20 Over 95% of FL is FDG uptake.21 PET/CT is recommended for initial evaluation, staging and response assessment of FL in the Lugano 2014 International Conference on Malignant Lymphoma imaging consensus guidelines.22 However, the data of PET/CT in the baseline, interim and end-of treatment of adult FL patients are very limited. In the present study, we demonstrated that both baseline tMTV and TLG had the potential to predict PFS and OS for FL patients. Ann Arbor stage, number of extranodal sites, LDH level, FLIPI score, LodLIN (cm), number of involved nodes and bone marrow biopsy were positively and significantly associated with tMTV or TLG. Furthermore, TLG was the independent prognostic factor of PFS and OS. MTV and TLG included both anatomical and metabolic features, and might be considered to be tumor invasive as well as expression of tumor volume. Recently, several studies have demonstrated the prognostic value of semi-quantitative parameters in lymphoma.9,23,24 Zhou et al9 have reported that higher TLG level is associated with a poorer survival in patients with DLBCL. Pak et al23 in a multicenter retrospective study have shown that high TLG is the only independent factor for predicting survival in extranodal nasal type NK/T cell lymphoma. Combination of early PET/CT response and baseline MTV or TLG improves the predictive power of interim PET in DLBCL.24 Other studies have also demonstrated the significant prognostic values of MTV and TLG in FL.1,25 Cottereau et al26 have found that MTV is an independent predictor of PFS and OS in patients with high-tumor burden FL. A pooled analysis consisting of 185 patients with high-tumor burden FL indicates that baseline tMTV is an independent predictor of PFS.1 Although we found the relationship between tMTV and prognosis in univariate analysis, the multivariate analysis indicated that TLG was an independent predictive factor of PFS and OS. This discrepancy might be attributed to many factors. First, TLG was not included in their study. Furthermore, PET/CT had low sensitivity when detecting bone marrow involvement, which might affect the calculation of tMTV.27 Last, the distributions of risk groups in patients were different. Recent studies have shown that the optimal cutoff points for total MTV are different.1,25,28 This variation can be explained by different characteristics of the patients and the marginal threshold methods. Patients with advanced stages, bulky disease and high FLIPI score had higher tMTV compared with the patients with earlier stage, less bulky disease and low FLIPI score. For example, Meignan et al1 have included patients from three prospective multicenter trials, most with stage III-IV (92%), with LodLIN >6 cm in 47% and two or more extra-nodal sites in 38%, and found an optimal cutoff of 510 cm3. Liang et al25 have found an optimal tMTV cutoff of 476.4 cm3 in patients, of which 75% have stage III-IV disease, 43.8% have FLIPI1 score of 3–5 and 20.8% have FLIPI2 score of 3–5. Song et al28 have found an optimal tMTV cutoff of 220 cm3 in patients with only stage II and III disease, 4.1% with bulky disease (>5 cm). Another factor affecting tMTV cutoff is the different ways used to measure the marginal threshold. In our study, the tMTV was measured using the 41% SUVmax threshold recommended by the European Association of Nuclear Medicine guidelines because of its high inter-observer reproducibility.16 However, tMTV is measured using absolute values (2.0, 2.5 and 3.0) as the threshold in Song28 and Liang25’s studies. As previously reported, absolute threshold, such as SUV ≥2.5, may underestimate the volume of lesions with low SUV, which is less than the threshold value.29 Although our cutoff value was different, tMTV and TLG were robust prognostic indicators of patient survival. Recently, the prognostic role of I-PET has been emphasized.30–32 Lu et al31 have conducted a retrospective analysis on 57 FL patients (grade 1, 2 and 3a), and demonstrated a poor prognostic value for the IHP criteria in mid-treatment PET scans for the prediction of PFS and OS. Bishu et al32 have shown similar results that no significant difference in PFS between I-PET positive and negative patients. However, in a prospective study consisting of 112 patients, Dupuis et al30 have shown that the D-5PS criteria of the PET after four cycles of chemotherapy have a strong predictive value for PFS. In the present study, we confirmed that I-PET had no predictive value for PFS in FL patients, regardless of D-5PS or IHP criteria. Therefore, the utility of I-PET still remains controversial in evaluating the response to FL. These controversies might be attributed to many factors. First of all, FL is an incurable disease, the absence of FDG-uptake lesions in I-PET imaging does not mean the absence of tumor cells, while most of the tumor cells have responded and 18F-FDG-PET/CT cannot detect these cells.18 In addition, the follow-up time, the patient population, the treatment regimen, and the number of chemotherapy cycles can all cause these controversies.33 The utility of PET/CT in assessing response after end-of treatment has been confirmed in several studies.6,11,19,32 In accordance with previous findings, our study confirmed that E-PET had predictive value for PFS in FL patients, and PFS in PET-positive patients was significantly lower compared with PET-negative patients. However, only very few studies have investigated the relationship between PET/CT results and OS at the end-of treatment.13 In our present study, a small number of patients died for progressive FL, and the OS was not analyzed. Therefore, the role of E-PET in FL remains controversial. Visual interpretation of D-5PS seems to be a better prognostic value than IHP criteria, with a higher referenced background (liver).12,34–36 In our study, we found that the D-5PS criteria had a higher specificity, PPV and accuracy compared with the IHP criteria in the interim and the end-of treatment. Interestingly, we also found that the specificity, accuracy and PPV of PET/CT at the end-of chemotherapy, regardless of D-5PS or IHP criteria, were significantly higher compared with interim PET/CT. This finding was consistent with previous conclusions,37 indicating that E-PET might have a stronger diagnostic value than I-PET. However, additional studies are still necessary. The percentage of ∆SUVmax is a semi-quantitative method with excellent inter-observer agreement and improved prognostic value of I-PET38,39 and E-PET.40,41 Rossi et al38 have performed an interim PET/CT after two cycles of chemotherapy in HL patients, and shown a promising prognostic value using the criteria of ΔSUVmax% >71%. Itti et al40 have found that ΔSUVmax% >72.9% is an important predictor of PFS at the end of treatment in DLBCL patients. In our study, we found that ΔSUVmax% using a cutoff of 68.97% had predictive value for FL patients after first-line chemotherapy. However, we failed to show a better predictive value for interim PET/CT when using a cutoff value of 66.95%. To the best of our knowledge, studies on the evaluation criteria of ΔSUVmax% in FL patients are limited, and a large number of prospective studies are required. There are some limitations and shortcomings in this study. This was a single-center retrospective study, in which only 59 patients underwent PET/CT scans before treatment, only 24 patients had 2–4 cycles of chemotherapy, and only 43 patients had all planned first-line therapy. Since a significant proportion of patients had a good therapeutic response after chemotherapy and a small number of patients died for progressive FL, the OS was not analyzed with I-PET and E-PET.

Conclusion

Collectively, we demonstrated that baseline TLG was an independent predictor of PFS and OS in FL. E-PET results using D-5PS and IHP criteria were significantly associated with PFS, whereas I-PET results were not associated with PFS. D-5PS criteria showed a better sensitivity, accuracy and PPV compared with IHP criteria in I-PET or E-PET. In addition, the ΔSUVmax% from the baseline to the end-of therapy could be used for precise prediction of patient prognosis.
  41 in total

1.  Optimisation of metabolic criteria in the prognostic assessment in patients with lymphoma. A multicentre study.

Authors:  M Del Puig Cózar-Santiago; J R García-Garzón; M Moragas-Freixa; M Soler-Peter; P Bassa Massanas; M Sánchez-Delgado; R Sanchez-Jurado; J E Aguilar-Barrios; R Sanz-Llorens; J Ferrer-Rebolleda
Journal:  Rev Esp Med Nucl Imagen Mol       Date:  2017-05-05       Impact factor: 1.359

2.  The prognostic role of post-induction FDG-PET in patients with follicular lymphoma: a subset analysis from the FOLL05 trial of the Fondazione Italiana Linfomi (FIL).

Authors:  S Luminari; I Biasoli; A Versari; S Rattotti; C Bottelli; C Rusconi; F Merli; M Spina; A J M Ferreri; P L Zinzani; A Gallamini; A Franceschetto; C Boccomini; S Franceschetti; F Salvi; F D Raimondo; A M Carella; Q Micol; M Balzarotti; P Musto; M Federico
Journal:  Ann Oncol       Date:  2014-01-10       Impact factor: 32.976

3.  Definitive radiotherapy for localized follicular lymphoma staged by 18F-FDG PET-CT: a collaborative study by ILROG.

Authors:  Jessica L Brady; Michael S Binkley; Carla Hajj; Monica Chelius; Karen Chau; Alex Balogh; Mario Levis; Andrea Riccardo Filippi; Michael Jones; Michael Mac Manus; Andrew Wirth; Masahiko Oguchi; Anders Krog Vistisen; Therese Youssef Andraos; Andrea K Ng; Berthe M P Aleman; Seo Hee Choi; Youlia Kirova; Sara Hardy; Gabriele Reinartz; Hans T Eich; Scott V Bratman; Louis S Constine; Chang-Ok Suh; Bouthaina Dabaja; Tarec C El-Galaly; David C Hodgson; Umberto Ricardi; Joachim Yahalom; Richard T Hoppe; N George Mikhaeel
Journal:  Blood       Date:  2018-11-16       Impact factor: 22.113

4.  Prognostic value of interim FDG PET-CT in patients older than 60 years with diffuse large B-cell lymphoma treated by PMitCEBO plus rituximab. Comparison between Deauville 5-point scale and International Harmonization Project criteria.

Authors:  Naelle Lombion; Philippe Robin; Adrian Tempescul; Pierre-Yves LE Roux; Ulrike Schick; Gaëlle Guillerm; Jean-Christophe Ianotto; Christian Berthou; Pierre-Yves Salaün; Ronan Abgral
Journal:  Q J Nucl Med Mol Imaging       Date:  2016-11-30       Impact factor: 2.346

5.  The prognostic value of mid- and post-treatment [(18)F]fluorodeoxyglucose (FDG) positron emission tomography (PET) in indolent follicular lymphoma.

Authors:  Zhou Lu; Michael Lin; Paul Downe; Shanley Chong; Silvia Ling
Journal:  Ann Nucl Med       Date:  2014-07-10       Impact factor: 2.668

6.  Clinical significance of metabolic tumor volume by PET/CT in stages II and III of diffuse large B cell lymphoma without extranodal site involvement.

Authors:  Moo-Kon Song; Joo-Seop Chung; Ho-Jin Shin; Sang-Min Lee; Su-Ee Lee; Ho-Sup Lee; Gyeong-Won Lee; Seong-Jang Kim; Seok-Mo Lee; Dong-Seop Chung
Journal:  Ann Hematol       Date:  2011-11-11       Impact factor: 3.673

7.  Prognostic Value of Baseline and Interim Total Metabolic Tumor Volume and Total Lesion Glycolysis Measured on 18F-FDG PET-CT in Patients with Follicular Lymphoma.

Authors:  Jin-Hua Liang; Yun-Ping Zhang; Jun Xia; Chong-Yang Ding; Wei Wu; Li Wang; Lei Cao; Hua-Yuan Zhu; Lei Fan; Tian-Nv Li; Jian-Yong Li; Wei Xu
Journal:  Cancer Res Treat       Date:  2019-03-12       Impact factor: 4.679

8.  Application of Quantitative Indexes of FDG PET to Treatment Response Evaluation in Indolent Lymphoma.

Authors:  Hyun Joo Kim; Reeree Lee; Hongyoon Choi; Jin Chul Paeng; Gi Jeong Cheon; Dong Soo Lee; June-Key Chung; Keon Wook Kang
Journal:  Nucl Med Mol Imaging       Date:  2018-08-30

Review 9.  Prognostic value of interim and end-of-treatment FDG-PET in follicular lymphoma: a systematic review.

Authors:  Hugo J A Adams; Rutger A J Nievelstein; Thomas C Kwee
Journal:  Ann Hematol       Date:  2015-11-18       Impact factor: 3.673

10.  Prognostic values of interim and post-therapy 18F-FDG PET/CT scanning in adult patients with Burkitt's lymphoma.

Authors:  Wen-Xiao Wei; Jia-Jia Huang; Wen-Yu Li; Xu Zhang; Yi Xia; Wen-Qi Jiang; Wei Fan; Zhi-Ming Li
Journal:  Chin J Cancer       Date:  2015-12-02
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Authors:  Zahra Kiamanesh; Narjess Ayati; Ramin Sadeghi; Eliza Hawkes; Sze Ting Lee; Andrew M Scott
Journal:  Eur J Nucl Med Mol Imaging       Date:  2022-08-06       Impact factor: 10.057

2.  Chemotherapy-induced Cardiac18F-FDG Uptake in Patients with Lymphoma: An Early Metabolic Index of Cardiotoxicity?

Authors:  Mayara L C Dourado; Luca T Dompieri; Glauber M Leitão; Felipe A Mourato; Renata G G Santos; Paulo J Almeida Filho; Brivaldo Markman Filho; Marcelo D T Melo; Simone C S Brandão
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Journal:  PLoS One       Date:  2022-08-04       Impact factor: 3.752

4.  Prediction of prognosis and pathologic grade in follicular lymphoma using 18F-FDG PET/CT.

Authors:  Hongyan Li; Min Wang; Yajing Zhang; Fan Hu; Kun Wang; Chenyang Wang; Zairong Gao
Journal:  Front Oncol       Date:  2022-07-28       Impact factor: 5.738

5.  Radiotherapy in Follicular Lymphoma Staged by 18F-FDG-PET/CT: A German Monocenter Study.

Authors:  Imke E Karsten; Gabriele Reinartz; Michaela Pixberg; Kai Kröger; Michael Oertel; Birte Friedrichs; Georg Lenz; Hans Theodor Eich
Journal:  Biomedicines       Date:  2021-05-17

6.  Prognostic Values of Baseline 18F-FDG PET/CT in Patients with Peripheral T-Cell Lymphoma.

Authors:  Yeye Zhou; Xiaoyi Zhang; Haifeng Qin; Zixuan Zhao; Jihui Li; Bin Zhang; Shibiao Sang; Yiwei Wu; Shengming Deng
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