Literature DB >> 26576560

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

Hugo J A Adams1, Rutger A J Nievelstein2, Thomas C Kwee2.   

Abstract

This study aimed to systematically review the prognostic value of interim and end-of-treatment (18)F-fluoro-2-deoxy-D-glucose positron emission tomography (FDG-PET) in follicular lymphoma during and after first-line therapy. The PubMed/MEDLINE database was searched for relevant original studies. Included studies were methodologically assessed, and their results were extracted and descriptively analyzed. Three studies on the prognostic value of interim FDG-PET and eight studies on the prognostic value of end-of-treatment FDG-PET were included. Overall, studies were of poor methodological quality. In addition, there was incomplete reporting of progression-free survival (PFS) and overall survival (OS) data by several studies, and none of the studies incorporated the Follicular Lymphoma International Prognostic Index (FLIPI) in the OS analyses. Two studies reported no significant difference in PFS between interim FDG-PET positive and negative patients, whereas one study reported a significant difference in PFS between the two groups. Two studies reported no significant difference in OS between interim FDG-PET positive and negative patients. Five studies reported end-of-treatment FDG-PET positive patients to have a significantly worse PFS than end-of-treatment FDG-PET negative patients, and one study reported a non-significant trend towards a worse PFS for end-of-treatment FDG-PET positive patients. Three studies reported end-of-treatment FDG-PET positive patients to have a significantly worse OS than end-of-treatment FDG-PET negative patients. In conclusion, the available evidence does not support the use of interim FDG-PET in follicular lymphoma. Although published studies suggest end-of-treatment FDG-PET to be predictive of PFS and OS, they suffer from numerous biases and failure to correct OS prediction for the FLIPI.

Entities:  

Keywords:  End-of-treatment; FDG-PET; Follicular lymphoma; Interim; Systematic review

Mesh:

Substances:

Year:  2015        PMID: 26576560      PMCID: PMC4700102          DOI: 10.1007/s00277-015-2553-2

Source DB:  PubMed          Journal:  Ann Hematol        ISSN: 0939-5555            Impact factor:   3.673


Introduction

Follicular lymphoma is the second most frequently occurring non-Hodgkin lymphoma subtype [1]. In contrast to the 2007 Revised Response Criteria for Malignant Lymphoma [2] that considered computed tomography (CT) as the standard method for therapy response assessment in follicular lymphoma, the recently published Lugano Classification recommends using 18F-fluoro-2-deoxy-d-glucose positron emission tomography (FDG-PET) in follicular lymphoma [3, 4]. Moreover, the current guidelines also advocate the use of interim FDG-PET during treatment, although they do no support changing therapeutic strategy on the basis of interim FDG-PET findings outside clinical trials [3, 4]. Despite the recommendations in the new guidelines, there is still considerable debate on the utility of FDG-PET for therapy response assessment in follicular lymphoma and, not surprisingly, wide variability in the use of FDG-PET in these settings among different institutions. This debate on and the variability in the application of FDG-PET in follicular lymphoma reflect the need for evidence-based data. Although individual studies can provide more insight, there may be variability among individual studies with regard to internal validity (i.e., risk of bias) and external validity (i.e., generalizability of the study results). To overcome the limitations of individual studies, a systematic review is required. The purpose of this study was therefore to systematically review published data on the prognostic value of interim and end-of-treatment FDG-PET in follicular lymphoma.

Materials and methods

Search strategy

A systematic literature search was performed in the PubMed/MEDLINE database using the search terms that are displayed in Table 1. The search covered the period from start date to March 20, 2015. The reference lists of all studies that were finally included were screened for potentially suitable articles that were not detected by the initial search.
Table 1

Search strategy and results as on March 20, 2015

No.Search stringPubMed/Medline
1.Fluorodeoxyglucose OR 2-fluoro-2-deoxy-d-glucose OR FDG OR 18F-FDG OR positron emission tomography OR PET86,557
2.Follicular OR indolent62,338
3.No. 1 AND No. 2651
Search strategy and results as on March 20, 2015

Study selection

Original studies that reported on the prognostic value of interim or end-of-treatment FDG-PET in indolent (grade 1-3A) follicular lymphoma during or after first-line therapy were included. Only studies written in English, German, Italian, French, Spanish, or Dutch were included. Studies without patient data (guidelines, reviews, meta-analyses, editorials, and letters), studies including less than ten patients with follicular lymphoma, duplicate studies, conference abstracts, studies that did not allow data extraction of patients with follicular lymphoma patients from patients with other lymphoma subtypes, studies that included patients with refractory disease, studies in which patients received second-line therapy, and studies that tailored the therapy on the basis of the interim or end-of-treatment FDG-PET result were excluded. Titles and abstracts of all studies that were obtained by the PubMed/MEDLINE search were scrutinized, and clearly ineligible studies were excluded at this stage. The full-text versions of the remaining articles were then evaluated, and a final decision was made as to whether or not a study met the criteria to be included in the systematic review.

Study quality

The Quality In Prognosis Studies (QUIPS) tool [5], which was developed to assess the risk of bias in prognostic studies, was used for the methodological quality assessment. The QUIPS tool assesses the risk of bias in six different domains: study participation (“does the study population adequately represent the population of interest?”), study attrition (“do the study data available [i.e., patients not lost to follow-up] adequately represent the study sample?”), prognostic factor measurement (“is the prognostic factor measured in a similar way for all participants?”), outcome measurement (“is the outcome of interest measured in a similar way for all participants?”), study confounding (“have important potential confounding factors appropriately been accounted for?”), and statistical analysis and reporting (“is the statistical analysis appropriate, and are all primary outcomes reported”) [5]. Risk of bias was scored “low,” “moderate,” or “high for these six domains.

Data analysis

Results of included studies were extracted and descriptively analyzed.

Results

Literature search

The literature search revealed a total of 651 articles (Table 1). After screening titles and abstracts, 41 potentially relevant articles remained and were retrieved and read in full-text format. Of these 41 articles, 16 were excluded because the prognostic value of interim or end-of-treatment FDG-PET status was not reported, 6 were excluded because of inclusion of less than 10 patients with follicular lymphoma, 4 were excluded because data of patients with follicular lymphoma could not be separated from patients with other lymphoma subtypes, 4 were excluded because of (partial) inclusion of patients with refractory disease, 1 was excluded because it only included patients with transformed lymphomas, 1 was excluded because it reported data that were also used in another (larger) study, and 1 was excluded because it was written in Japanese. Thus, eight studies remained. Of these eight studies, three reported data on the prognostic value of interim FDG-PET and eight studies reported data on the prognostic value of end-of-treatment FDG-PET. Characteristics and applied methodology of the eight included studies are displayed in Tables 2 and 3.
Table 2

Characteristics of included studies and patients

Study (year)CountryData acquisitionNo. of patientsa Age in years (range)Sex (M/F)Stage (no.)FLIPI scored Treatment regimes (no.)
Lu et al. [6] (2014)AustraliaRetrospective5759b (27–77)26/31I, 3II, 7III, 24IV, 210, 21, 92, 193, 114, 85, 4Unavailable, 46× R-CHOP, 57Additional maintenance R, 45
Luminari et al. [7] (2014)ItalyRetrospective20256b (33–75)98/104II, 16III/IV, 1860–2, 1313–5, 71R-CVP, 66 R-CHOP, 62 R-FM, 74
Zinzani et al. [8] (2013)ItalyRetrospective14263a (25–83)55/87III, 65IV, 77NRR-FM
Dupuis et al. [9] (2012)MultinationalProspective11957b (28–76)63/56I/II, 8III/IV, 1100–1, 172, 503–5, 496× R-CHOP, 1132× additional R, 106
Trotman et al. [10] (2011)MultinationalProspective12257b (26–82)67/55I/II, 14III/IV, 1080–1, 282, 473–5, 476× R-CHOP + 2× R, 1038× R-CVP, 19
Le Dortz et al. [11] (2010)FranceRetrospective4560a (47–78)22/23I/II, 5III, 15IV, 250–1, 92, 123–5, 246× R-CHOP
Bishu et al. [12] (2007)USARetrospective16NRNRII, 3III, 5IV, 8NRCHOP, R-CHOP, CNOP, CVP, R-monotherapy with/without additional RT
Zinzani et al. [13] (2007)ItalyRetrospective4555b (31–78)25/20III/IV, 402, 28 ≥3, 17R-FM or R-CHOP

CHOP cyclophosphamide, doxorubicin, vincristine, and prednisone; CNOP cyclophosphamide, mitoxantrone, vincristine, and prednisone; CVP cyclophosphamide, vincristine, and prednisone; FM rituximab, fludarabine, and mitoxantrone; ICE ifosfamide, carboplatin, etoposide; NR not reported; R rituximab; RT radiation therapy

aNumber of patients who were included in this study of whom baseline characteristics were available

bMedian

cMean

dFLIPI score [14]

Table 3

CT and FDG-PET acquisition/interpretation and patient follow-up methods

Study (year)Histological gradeFDG-PET imaging system(s)FDG doseTime between FDG administration and scanningTime between last therapy cycle and FDG-PET (range)InterpretersBaseline scan available (no.)Follow-up examinations to determine end of PFSDefinition of end of PFS
Lu et al. [6] (2014)1-3AStand-alone PET (n = 15) or hybrid PET/CT (n = 42)5.14 MBq/kg60 minNRExperienced PET physiciansYes (55/57 cases)NRRelapse or aggressive transformation
Luminari et al. [7] (2014)NRHybrid PET/CTNRNR36 daysa (10–92)Local nuclear medicine physician scan reportYes (155/202 cases)NRProgression, relapse, or death from any cause
Zinzani et al. [8] (2013)Grade 1-3ANRNRNRNRLocal nuclear medicine physician scan reportYesCT every 6 months for the first 2 years, annual imaging studies with CT or FDG-PET/CT up to 7 yearsProgression or death from any cause
Dupuis et al. [9] (2012)1-3ANR3.5–8 MBq/kg60 minNRCentral review by 3 experienced nuclear medicine physiciansYes (all)Clinical examination every 3 months and CT scan every 6 months during the first 2 yearsFirst documented evidence of progressive disease, relapse, or death resulting from any cause
Trotman et al. [10] (2011)NRHybrid PET/CTNRNR64 daysa (9–124)Local nuclear medicine physician scan reportNRClinical examination every 3 months and CT scans every 6 months for 3 yearsProgression/relapse (on the basis of the investigator's assessment) or death from any cause
Le Dortz et al. [11] (2010)1-3aHybrid PET/CT5 MBq/kg60 minNRTwo nuclear medicine specialistsYes (all)NRProgression, relapse or second-line therapy
Bishu et al. [12] (2007)1 or 2Stand-alone PET or hybrid PET/CT370–740 MBq60 minNRExperienced nuclear radiologistsYes (all)Conventional methods every 3–6 months for 1 year, every 6–12 months for 2 years, FDG-PET examination every 3–12 monthsHistologic, clinical or radiographic evidence of disease progression
Zinzani et al. [13] (2007)1 or 2Stand-alone PET370 MBq70–90 minApproximately 30 daysThree experienced readersYesCT and FDG-PET were performed every 6 months for the first 2 years and then every 12 monthsProgression or relapse

NR not reported, PFS progression-free survival

aMedian

Characteristics of included studies and patients CHOP cyclophosphamide, doxorubicin, vincristine, and prednisone; CNOP cyclophosphamide, mitoxantrone, vincristine, and prednisone; CVP cyclophosphamide, vincristine, and prednisone; FM rituximab, fludarabine, and mitoxantrone; ICE ifosfamide, carboplatin, etoposide; NR not reported; R rituximab; RT radiation therapy aNumber of patients who were included in this study of whom baseline characteristics were available bMedian cMean dFLIPI score [14] CT and FDG-PET acquisition/interpretation and patient follow-up methods NR not reported, PFS progression-free survival aMedian

Methodological quality assessment

Results of the methodological quality assessment using the QUIPS tool are shown in Table 4. There was high risk of bias in one study for both the domains study participation and study confounding because this study only included cases that were clearly positive or negative and excluded cases that were not unequivocally positive or negative [7]. There was high risk of bias for the domain prognostic factor measurement in four studies [7, 8, 10, 13] because these studies did not report clear criteria for FDG-PET positivity/negativity, and there was moderate risk of bias for the domain prognostic factor measurement in three other studies because one study [9] did not report which PET system (modern hybrid PET/CT or diagnostically inferior stand-alone PET) was used for FDG imaging and two studies [6, 12] reported that (some of) the included patients underwent stand-alone FDG-PET. Finally, there was high risk of bias for outcome measurement in all eight studies [6-13], because none of the eight studies reported clear and reproducible criteria for disease progression/relapse/end of progression-free survival (PFS), three studies [6, 7, 11] did not report whether follow-up visits/examinations were standardized or similar in both the FDG-PET negative and positive group, and five of eight studies [7, 8, 11–13] failed to provide data on the overall survival (OS).
Table 4

Quality assessment of included studies according to the QUIPS tool [5]

Study (year)Study participationStudy attritionPrognostic factor measurementOutcome measureStudy confoundingStatistical analysis
Lu et al. [6] (2014)LowLowModerateHighLowLow
Luminari et al. [7] (2014)HighLowHighHighHighLow
Zinzani et al. [8] (2013)LowLowHighHighLowLow
Dupuis et al. [9] (2012)LowLowModerateHighLowLow
Trotman et al. [10] (2011)LowLowHighHighLowLow
Le Dortz et al. [11] (2010)LowLowLowHighLowLow
Bishu et al. [12] (2007)LowLowModerateHighLowLow
Zinzani et al. [13] (2007)LowLowHighHighLowLow

Low low risk of bias, Moderate moderate risk of bias, High high risk of bias

Quality assessment of included studies according to the QUIPS tool [5] Low low risk of bias, Moderate moderate risk of bias, High high risk of bias

Interim FDG-PET

The results of the three studies reporting on the prognostic value of interim FDG-PET are shown in Table 5. The proportion of interim FDG-PET negative and positive patients ranged from 64 to 76 % and 24.3 to 36.4 %, respectively. All three studies investigated the association of the interim FDG-PET result with PFS, with two studies reporting no significant difference in PFS between FDG-PET positive and negative patients [6, 12], whereas one study [9] reported FDG-PET positive patients to have a significantly worse PFS than FDG-PET negative patients [9]. Only two of three studies investigated the association of the interim FDG-PET result with OS, with both studies reporting no significant difference in OS between FDG-PET positive and negative patients [6, 9]. Of interest, none of the studies corrected the interim FDG-PET result for the predictive value of the Follicular Lymphoma International Prognostic Index (FLIPI) in the OS analyses.
Table 5

Results of studies reporting on the prognostic value of interim FDG-PET

Study (year)Criteria for positivityFollow-up time in months (range)Number of therapy cycles before interim FDG-PETNo. of FDG-PET negative/positive patientsNumber of relapses/progressions/eventsPFSMedian/mean PFS (months)Hazard ratio PFSDeathsOSMedian/mean OS (months)Hazard ratio OS
Lu et al. [6] (2014)Cheson/Barrington 2014 [3]/Deauville 4 + 542.2a (7.8–103.8)Generally 3 cyclesNegative, 28/44 (63.6 %)Positive, 16/44 (36.4 %)NRNRNegative, 78.5Positive, 51.0 (P = 0.35)1.7 (95 % CI 0.5–5.5, P = 0.35)NRNRNegative, 89.9Positive, 76.6 (P = 0.92)1.1 (95 % CI, 0.2–4.9, P = 0.92)
Dupuis et al. [9] (2012)Cheson/Barrington 2014 [3]/Deauville 4 + 523a 4 cyclesNegative, 84/111 (75.7 %)Positive, 27/111 (24.3 %)NR2-year PFS:Negative, 86 %Positive, 61 % (P = 0.0046)NRNRNRNo significant differenceNRNR
Bishu et al. [12] (2007)Cheson/Juweid 2007 [2]/>MBP26b (6–58)NRNegative, 7/11 (63.6 %)Positive, 4/11 (36.4 %)NRNo significant differenceNegative, 30Positive, 17b NRNRNRNRNR

CI confidence interval, MBP mediastinal blood pool, NR not reported, PFS progression-free survival, OS overall survival

aMedian

bMean

Results of studies reporting on the prognostic value of interim FDG-PET CI confidence interval, MBP mediastinal blood pool, NR not reported, PFS progression-free survival, OS overall survival aMedian bMean

End-of-treatment FDG-PET

The results of the eight studies reporting on the prognostic value of end-of-treatment FDG-PET are displayed in Table 6. The proportion of end-of-treatment FDG-PET negative and positive patients ranged from 71.1 to 87.5 % and 12.5 to 28.9 %, respectively. Of the eight studies, six investigated the association of the end-of-treatment FDG-PET result with PFS, with five studies reporting FDG-PET positive patients to have a significantly worse PFS than FDG-PET negative patients [7-11] and one study reporting a non-significant trend towards a worse PFS for FDG-PET positive patients [6]. Yet, another two studies did not report whether there was any significant difference in PFS between FDG-PET positive and negative patients [12, 13]. Only four of eight studies investigated the association of the end-of-treatment FDG-PET result with OS, with three studies reporting FDG-PET positive patients to have a significantly worse OS than FDG-PET negative patients [6, 9, 10], whereas one study did not report whether there was any significant difference in OS between FDG-PET positive and negative patients [7]. Of interest, none of the studies corrected the end-of-treatment FDG-PET result for the predictive value of the FLIPI in the OS analyses.
Table 6

Results of studies reporting on the prognostic value of end-of-treatment FDG-PET

Study (year)Criteria for positivityFollow-up time in months (range)No. of FDG-PET negative/positive patientsNumber of relapses/progressions/eventsPFSMedian/mean PFS (months)Hazard ratio PFSDeathsOSMedian/mean OS (months)Hazard ratio OS
Lu et al. (2014) [6]Cheson/Barrington 2014 [3]/Deauville 4 + 542.2a (7.8–103.8)Negative, 39 (83.0 %)Positive, 8 (17.0 %)NR3-year PFSNegative, 72 %Positive, 30 %Negative, 74.4Positive, 38.2 (P = 0.083)b 2.6 (95 % CI, 0.7–9.1) (P = 0.083)NR3-year OS:Negative, 96 %Positive, 60 %Negative, 95.2Positive, 45.0 (P < 0.001)10.8 (95 % CI, 2.8–41.6, P < 0.001)
Luminari et al. (2014) [7]NR34a (7–66)Negative, 153 (75.7 %)Positive, 49 (24.3 %)NR3-year PFS:Negative, 66 %Positive, 35 % (P < 0.001)NRPFS, 2.59, 95 % CI, 1.59–4.24, P < 0.001)Negative, 3/153 (2.0 %) Positive, 3/49 (6.1 %)NRNRNR
Zinzani et al. (2013) [8]NR48a (6–145)NRNR5-year PFS:Negative, 75.5 %Positive, 42 % (P = 0.002)NRNRNRNRNRNR
Dupuis et al. [9] (2012)Cheson/Barrington 2014 [3]/Deauville 4 + 523b Negative 83/106 (78.3 %)Positive, 23/106 (21.7 %)NR2-year PFS:Negative, 87 %Positive, 51 % (P < 0.001)NRNRNR2-year OS, Negative, 100 %Positive, 88 % (P = 0.0128)NRNR
Trotman et al. 2011 [10]NR42b (6–57)Negative, 90 (73.8 %)Positive, 32 (26.2 %)NR42-month PFS:Negative, 70.7 %Positive, 32.9 % (P < 0.001)Negative, not reachedPositive, 20.5a 3.3 (95 % CI, 1.9–5.9)Negative, 3/90 (3.3 %)Positive, 7/32 (21.8 %)42-month OS:Negative, 96.5 %Positive, 78.5 % (P = 0.0011)NR7.0 (95 % CI, 1.8–27.0, P = 0.0011)
Le Dortz et al. [11] (2010)Cheson/Juweid 2007 [2]/>MBP36a (24–50)Negative, 32/45 (71.1 %)Positive, 13/45 (28.9 %)Negative, 5/32 (15.6 %)Positive, 11/13 (84.6 %) (5× second-line treatment initiation, 6× progression)NRNegative, 48Positive, 17.2 (P < 0.0001)NRNRNRNRNR
Bishu et al. [12] (2007)Cheson/Juweid 2007 [2]/>MBP28b (6–59)Negative, 14/16 (87.5 %)Positive, 2/16 (12.5 %)Negative, 1/14 (7 %)Positive, 2/2 (100 %)NRNegative, 29.5 monthsPositive, 5.8b NRNRNRNRNR
Zinzani et al. [13] (2007)NR25a (20–34)Negative, 34/45 (75.6 %)Positive, 11/45 (24.4 %)Negative, 2/34 (5.9 %)Positive, 10/11 (90.9 %)NRNRNRNRNRNRNR

CI confidence interval, MBP mediastinal blood pool, NR not reported, PFS progression-free survival, OS overall survival

aMedian

bMean

Results of studies reporting on the prognostic value of end-of-treatment FDG-PET CI confidence interval, MBP mediastinal blood pool, NR not reported, PFS progression-free survival, OS overall survival aMedian bMean

Discussion

This systematic review included three studies on the prognostic value of interim-FDG-PET and eight studies on the prognostic value of end-of-treatment FDG-PET in follicular lymphoma. The results show that there is a lack of data supporting the use of interim FDG-PET for the evaluation of first-line therapy in follicular lymphoma, given the fact that interim FDG-PET was reported to be not predictive of PFS in two of three studies and was not found to be predictive of OS in the two available studies on this topic. On the other hand, end-of-treatment FDG-PET seems to have some predictive value based on the available studies, with five studies reporting a significant and one study reporting a nearly significant association with PFS and three studies reporting a significant relationship between end-of-treatment FDG-PET status and OS. Importantly, however, these results should be interpreted very cautiously due to the overall poor methodological quality of included studies. There was high risk of bias with regard to study participation and confounding in one study (due to the exclusion of unequivocal FDG-PET cases), moderate and high risk of bias with regard to prognostic factor measurement in three and four studies, respectively (due to the [possible] use of diagnostically inferior stand-alone PET systems and lack of reporting of FDG-PET interpretation criteria, respectively), and high risk of bias with regard to outcome measurement in all eight studies. The latter is due to several important reasons, the first being the fact that the reference standard may have been different between FDG-PET positive and negative patients in three studies. This is of particular concern in retrospective studies, because it is not uncommon that patients with residual disease according to FDG-PET are monitored more closely, with more follow-up visits and more follow-up imaging and laboratory examinations, which will result in an earlier detection of (asymptomatic) progressions in this group compared to the FDG-PET negative group. This may have seriously biased the reported prognostic values of FDG-PET. Second, none of the included studies reported clear and reproducible criteria for disease progression/relapse/end of PFS. Various definitions are used for end of PFS in follicular lymphoma: first clinical/radiological evidence of disease after attaining complete remission (not applicable in end-of-treatment FDG-PET positive cases), increase in FDG avidity at follow-up FDG-PET, increase in tumor volume at follow-up CT, alterations in laboratory assessments, development of symptomatic disease, histological evidence of high-grade disease transformation, and initiation of second-line therapy or death. It should also be noted that the majority of included studies only reported the PFS and not the OS or the interval between end-of-treatment FDG-PET and initiation of the next therapy cycle. End of PFS, when defined as (asymptomatic) disease progression detected by radiological studies, is not a sufficient indication for second-line treatment initiation or changing patient management otherwise. None of the studies reported data on the value of FDG-PET in predicting the interval between end-of-treatment and (re)development of symptomatic disease or time interval between the end-of-treatment and the initiation of a subsequent second-line therapy, which can be regarded as perhaps more important outcome measures. Thus, it should be emphasized that the definition of PFS that is employed by many studies is not the most important outcome measure in this disease entity, and that although the results of this systematic review may suggest that a positive end-of-treatment FDG-PET may be associated with a worse PFS, it does not support the use of end-of-treatment FDG-PET in routine clinical practice. Overall, the subjectivity of the outcome measure PFS and the fact that the PFS do not provide very clinically relevant data underline that future studies should focus in particular on the OS or the time interval to develop subsequent symptomatic disease requiring second-line therapy. Finally, and surprisingly, none of the included studies corrected the end-of-treatment FDG-PET result for the predictive value of the FLIPI [14] in the OS analyses. Until end-of-treatment FDG-PET is proven to be predictive of OS, independently of the (less expensive) FLIPI, it cannot be recommended yet for routine use in clinical practice. There are several factors that make the role of FDG-PET in follicular lymphoma more devious in contrast to that in aggressive non-Hodgkin lymphomas and Hodgkin lymphoma. First, follicular lymphoma is an incurable disease as a result of which absence of viable tumor at FDG-PET never signifies absence of residual tumor cells but rather that the majority of the tumor bulk has responded and made the lymphoma undetectable by FDG-PET. Disappearance of lymphoma from the “FDG-PET radar”, may indicate a long-term (asymptomatic) remission, but not cure. Second, since viable tumor at FDG-PET in follicular lymphoma is not a direct indication for treatment initiation [1], detection of residual disease at end-of-treatment FDG-PET may be less relevant in follicular lymphoma than in aggressive non-Hodgkin lymphoma and Hodgkin lymphoma where residual disease after first-line therapy will often result in rapid additional diagnostic work-up with eventual consolidation radiation therapy or initiation of second-line therapies [3, 4, 15]. Third, in follicular lymphoma, bone marrow involvement is present in approximately 50 % of patients [14]. However, FDG-PET has proven to be inadequately sensitive for the detection of bone marrow involvement in follicular lymphoma [11, 16]. This in turn proves that FDG-PET cannot be used either for the evaluation of response to treatment of follicular lymphoma that lodges in the bone marrow. Fourth, in contrast to the more aggressive histologies, determination of the prognostic value of interim and end-of-treatment FDG-PET for predicting OS requires very long follow-up times, and results are not rarely biased by variations in the initiation, nature and intensity of post-first-line therapy, and other, non-lymphoma-related causes of death. The present systematic review had limitations. First, it was not possible to meta-analyze the results of individual studies, because there was considerable variation in data reporting, and hazard ratios for PFS and OS were not reported in the majority of included studies. Second, only a minority of studies reported the value of FDG-PET in predicting OS and no study reported data on the time to subsequent treatment initiation of second-line therapy or time interval to (re)develop asymptomatic disease after treatment. Third, applied treatment regimens among the included studies were heterogeneous, which affects interstudy comparisons. Fourth, the included studies reported follow-up times ranging between 6 and 104 months, which is insufficiently long considering the generally prolonged survival of patients with follicular lymphoma after first-line treatment. In conclusion, the available evidence does not support the use of interim FDG-PET in follicular lymphoma. Although published studies suggest end-of-treatment FDG-PET to be predictive of PFS and OS, they suffer from numerous biases and failure to correct OS prediction for the FLIPI.
  16 in total

1.  Diffuse large B-cell lymphoma (DLBCL): ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up.

Authors:  H Tilly; U Vitolo; J Walewski; M Gomes da Silva; O Shpilberg; M André; M Pfreundschuh; M Dreyling
Journal:  Ann Oncol       Date:  2012-10       Impact factor: 32.976

2.  Newly diagnosed and relapsed follicular lymphoma: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up.

Authors:  M Dreyling; M Ghielmini; R Marcus; G Salles; U Vitolo; M Ladetto
Journal:  Ann Oncol       Date:  2014-08-13       Impact factor: 32.976

3.  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

4.  Positron emission tomography-computed tomography (PET-CT) after induction therapy is highly predictive of patient outcome in follicular lymphoma: analysis of PET-CT in a subset of PRIMA trial participants.

Authors:  Judith Trotman; Marion Fournier; Thierry Lamy; John Francis Seymour; Anne Sonet; Andrea Janikova; Ofer Shpilberg; Emmanuel Gyan; Hervé Tilly; Jane Estell; Cecily Forsyth; Didier Decaudin; Bettina Fabiani; Jean Gabarre; Bruno Salles; Eric Van Den Neste; Danielle Canioni; Etienne Garin; Michael Fulham; Thierry Vander Borght; Gilles Salles
Journal:  J Clin Oncol       Date:  2011-07-11       Impact factor: 44.544

5.  Role of imaging in the staging and response assessment of lymphoma: consensus of the International Conference on Malignant Lymphomas Imaging Working Group.

Authors:  Sally F Barrington; N George Mikhaeel; Lale Kostakoglu; Michel Meignan; Martin Hutchings; Stefan P Müeller; Lawrence H Schwartz; Emanuele Zucca; Richard I Fisher; Judith Trotman; Otto S Hoekstra; Rodney J Hicks; Michael J O'Doherty; Roland Hustinx; Alberto Biggi; Bruce D Cheson
Journal:  J Clin Oncol       Date:  2014-09-20       Impact factor: 44.544

6.  The use of FDG-PET in the initial staging of 142 patients with follicular lymphoma: a retrospective study from the FOLL05 randomized trial of the Fondazione Italiana Linfomi.

Authors:  S Luminari; I Biasoli; L Arcaini; A Versari; C Rusconi; F Merli; M Spina; A J M Ferreri; P L Zinzani; A Gallamini; S Mastronardi; C Boccomini; G Gaidano; A M D'Arco; F Di Raimondo; A M Carella; A Santoro; P Musto; M Federico
Journal:  Ann Oncol       Date:  2013-04-12       Impact factor: 32.976

7.  Predictive value and diagnostic accuracy of F-18-fluoro-deoxy-glucose positron emission tomography treated grade 1 and 2 follicular lymphoma.

Authors:  Shrinivas Bishu; Joanna M Quigley; Shreenath R Bishu; Sarah M Olsasky; Richard A Stem; Valerie K Shostrom; Karen P Holdeman; Subash Paknikar; James O Armitage; Jordan H Hankins
Journal:  Leuk Lymphoma       Date:  2007-08

8.  Impact of [(18)F]fluorodeoxyglucose positron emission tomography response evaluation in patients with high-tumor burden follicular lymphoma treated with immunochemotherapy: a prospective study from the Groupe d'Etudes des Lymphomes de l'Adulte and GOELAMS.

Authors:  Jehan Dupuis; Alina Berriolo-Riedinger; Anne Julian; Pauline Brice; Christelle Tychyj-Pinel; Hervé Tilly; Nicolas Mounier; Andrea Gallamini; Pierre Feugier; Pierre Soubeyran; Philippe Colombat; Guy Laurent; Nathalie Berenger; Rene-Olivier Casasnovas; Pierre Vera; Gaetano Paone; Luc Xerri; Gilles Salles; Corinne Haioun; Michel Meignan
Journal:  J Clin Oncol       Date:  2012-10-29       Impact factor: 44.544

9.  Fludarabine-mitoxantrone-rituximab regimen in untreated intermediate/high-risk follicular non-Hodgkin's lymphoma: experience on 142 patients.

Authors:  Pier Luigi Zinzani; Cinzia Pellegrini; Alessandro Broccoli; Beatrice Casadei; Lisa Argnani; Stefano Pileri
Journal:  Am J Hematol       Date:  2013-08-30       Impact factor: 10.047

10.  Assessing bias in studies of prognostic factors.

Authors:  Jill A Hayden; Danielle A van der Windt; Jennifer L Cartwright; Pierre Côté; Claire Bombardier
Journal:  Ann Intern Med       Date:  2013-02-19       Impact factor: 25.391

View more
  7 in total

Review 1.  Current trends in diagnosis and management of follicular lymphoma.

Authors:  Gopila Gupta; Vikas Garg; Saumyaranjan Mallick; Ajay Gogia
Journal:  Am J Blood Res       Date:  2022-08-15

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

Authors:  Yeye Zhou; Zixuan Zhao; Yiwei Wu; Jihui Li; Bin Zhang; Shibiao Sang; Shengming Deng
Journal:  Cancer Manag Res       Date:  2019-07-23       Impact factor: 3.602

3.  Systematic review on the value of end-of-treatment FDG-PET in improving overall survival of lymphoma patients.

Authors:  Hugo J A Adams; Thomas C Kwee
Journal:  Ann Hematol       Date:  2019-12-07       Impact factor: 3.673

4.  Prognostic significance of interim PET/CT response for the treatment of advanced-stage marginal zone lymphoma in the post-rituximab era.

Authors:  Ho-Young Yhim; Deok-Hwan Yang; Ga-Young Song; Sang Eun Yoon; Seok Jin Kim; Jin Seok Kim; Youngil Koh; Joon-Ho Moon; Sung Yong Oh; Ho Sup Lee; Ho-Jin Shin; Young Rok Do; Won Sik Lee; Dae Sik Kim; Yong Park
Journal:  Sci Rep       Date:  2020-07-15       Impact factor: 4.379

5.  Clinical and biological prognostic factors in follicular lymphoma patients.

Authors:  Ádám Jóna; Anna Kenyeres; Sándor Barna; Árpád Illés; Zsófia Simon
Journal:  PLoS One       Date:  2022-08-04       Impact factor: 3.752

6.  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

Review 7.  Competitive Endogenous RNA Network Involving miRNA and lncRNA in Non-Hodgkin Lymphoma: Current Advances and Clinical Perspectives.

Authors:  Mara Fernandes; Herlander Marques; Ana Luísa Teixeira; Rui Medeiros
Journal:  Biomedicines       Date:  2021-12-17
  7 in total

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