Literature DB >> 35379187

18F-FDG-PET/CT in relapsed multiple myeloma: Are prognostic thresholds different from first-line therapy?

Romans Zukovs1, Christina Antke2, Eduards Mamlins2, Lino Morris Sawicki3, Annemarie Mohring4, David Lopez Y Niedenhoff4, Amelie Boquoi4, Mustafa Kondakci5, Gerald Antoch3, Hans-Wilhelm Müller2, Roland Fenk4, Rainer Haas4.   

Abstract

PURPOSE: While 18F-FDG PET/CT yields valuable prognostic information for patients in first-line therapy of multiple myeloma (MM), its prognostic relevance in relapse is not established. Available studies of relapsed MM describe prognostic thresholds for frequently used PET/CT parameters that are significantly higher than those identified in the first-line setting. The purpose of this study was to evaluate the prognostic role of PET/CT in relapsed MM, based on parameters used in the first-line setting.
METHODS: Our retrospective study included 36 patients with MM who had received autologous or allogeneic stem cell transplantation, suffered at least one relapse, and underwent FDG-PET/CT at relapse. Number of focal bone lesions (FL), maximal standardised uptake value (SUVmax), and presence of PET-positive extramedullary lesions (EMD) were analysed.
RESULTS: For the number of FLs, the prognostic value was demonstrated with a cut-off of > 3 (median OS 3.8 months vs. not reached, p = 0.003). Median OS of patients with SUVmax ≤ 4 was not reached, while it was 3.9 months in patients with SUVmax > 4 (p = 0.014). Presence of EMD was a significant prognostic parameter too, with median OS of 3.6 months versus not reached (p = 0.004). The above-mentioned parameters showed prognostic significance for PFS as well. Combination of higher ISS stage and PET/CT parameters identified patients with particularly short OS (3.7 months vs. not reached, p < 0.001) and PFS (3.6 vs. 11.7 months p < 0.001).
CONCLUSION: The PET/CT parameters SUVmax > 4, nFL > 3, and presence of EMD identify patients with poor prognosis not only in the first-line setting but also in relapsed MM.
© 2022. The Author(s).

Entities:  

Keywords:  18FDG PET-CT; Multiple myeloma; Prognostic factors; Relapse

Mesh:

Substances:

Year:  2022        PMID: 35379187      PMCID: PMC8981746          DOI: 10.1186/s12880-022-00788-4

Source DB:  PubMed          Journal:  BMC Med Imaging        ISSN: 1471-2342            Impact factor:   1.930


Background

Multiple myeloma (MM) is a malignant plasma cell disorder that is currently incurable in most cases. The introduction of novel therapeutic agents significantly improved the progression-free and overall survival, but the vast majority of patients will eventually experience disease progression [1, 2]. The multifaceted presentation and progressive nature of MM require complex assessment including detailed radiological examination. Whole-body computed tomography (CT), magnetic resonance imaging (MRI), and positron emission tomography—computed tomography (PET/CT) are the methods of choice, depending on the clinical setting and their availability [3]. The 18F-fluorodesoxyglucose (18F-FDG) PET/CT is particularly useful for differentiating between active and smoldering myeloma, assessing residual disease after therapy, or detecting extramedullary involvement [4, 5]. Disease activity assessed by PET/CT at diagnosis, after induction therapy, and after high-dose therapy is a useful predictor of progression-free survival (PFS) and overall survival (OS), as shown by multiple prospective and retrospective studies (Table 1). Moreover, comparative pre- and post-therapeutic PET/CT for evaluation of therapy response yields important prognostic information, too [6, 7]. The IMWG consensus statement on radiologic diagnostics in MM recommends the use of PET/CT at diagnosis when available, especially in studies, followed by PET/CT re-evaluation after 1st line treatment for assessment of residual disease [3].
Table 1

Overview of studies evaluating prognostic role of variable PET-CT parameters in multiple myeloma

StudyStudy designNumber of patientsTime of PET/CTThresholds for PET-CT parameters (relevant survival parameter)
Bartel et al. [15]Prospective239At diagnosis and before autologous SCTnFL > 3 (OS and EFS), SUVmax > 3.9 (EFS*), EMD-positivity (OS* and EFS*)
Zamagni et al. [8]Prospective192At diagnosisSUVmax > 4.2 (OS and PFS), EMD-positivity (OS and PFS), nFLs > 3 (PFS*)
Fonti et al. [21]Retrospective47At diagnosis, with subpopulation in relapseMTV (OS and PFS)
Usmani et al. [11]Prospective302At diagnosis and at induction day 7nFL > 3 on day 7 (OS and PFS)
Zamagni et al. [9]Retrospective282After first lineSUVmax > 4.2 (PFS and OS), nFL > 3 (OS* and PFS*), EMD-positivity (OS* and PFS*)
Patriarca et al. [10]Retrospective67Before allogeneic SCTSUVmax > 4.2 (OS and PFS*), EMD-positivity (OS* and PFS), nFL > 1 (OS* and PFS*),
Beksac et al. [12]Prospective139Before and after autologous SCTSUVmax > 3.35 (OS), SUVmax > 4.2 (PFS)
Moreau et al. [22]Prospective134After first line compared to PET at diagnosisPET-positive versus PET-normalization (PFS and OS)
Davies et al. [14]Retrospective (based on population of TT4-6 trials)596At diagnosis, during and after inductionnFL > 3 (OS, PFS) at diagnosis. Suppression of FL-signal beneficial
Wang et al. [16]Retrospective123At diagnosisSUVmax > 5.7 (OS*), EMD-positivity (OS and PFS)
Moon et al. [17]Retrospective76At diagnosisnFL > 3 (OS and PFS), EMD-positivity (OS and PFS)
Fonti et al. [23]Retrospective47At diagnosisMVT (OS and PFS), TLG (OS* and PFS*), SUVmax (OS*), nFL (OS* and PFS*)
Lapa et al. [18]Retrospective37At relapsenFL > 10 (TTP and OS), EMD (TTP and OS), SUVmax (ROC) > 18.5 (TTP)
Jamet et al. [19]Retrospective40At relapsenFL (appendicular skeleton) > 6 (OS, PFS), TLG (OS), SUVmax (ROC) > 15.9 (PFS), nFLs > 13 (PFS*)

SCT stem cell transplantation, OS overall survival, EFS event free survival, PFS progression free survival, CRD complete response duration, TTP time to progression, nFL number of focal lesions, EMD extramedullary disease, SUV-standardized uptake value, MTV metabolic tumor volume, TLG total lesion glycolysis. *Parameter was significant only on univariate analysis

Overview of studies evaluating prognostic role of variable PET-CT parameters in multiple myeloma SCT stem cell transplantation, OS overall survival, EFS event free survival, PFS progression free survival, CRD complete response duration, TTP time to progression, nFL number of focal lesions, EMD extramedullary disease, SUV-standardized uptake value, MTV metabolic tumor volume, TLG total lesion glycolysis. *Parameter was significant only on univariate analysis Most studies on the prognostic role of PET/CT in MM measured metabolic disease activity using standardized uptake values (SUV) and evaluated the number of FDG-avid focal intramedullary lesions (FL) as well as the presence of extramedullary disease (EMD) [4, 8–16]. Prospective studies during first line therapy identified cut-off values for PET/CT parameters with minor variability [8, 11, 12, 15]. These prognostically significant thresholds were reproduced in multiple smaller retrospective studies (Table 1). A maximal SUV (SUVmax) above 3.9–4.2, more than 3 FLs, and the presence of PET-positive EMD were repeatedly demonstrated to be negative predictors for OS and/or PFS [8–10, 14, 15, 17]. The role of PET/CT in relapsed or refractory MM is less clear, particularly in the post-transplantation setting [4]. The parameters and thresholds used in relapse studies are heterogeneous, which hampers the evaluation of the prognostic role of PET/CT. The prognostic thresholds proposed for SUVmax and number of focal lesions in patients with relapsed MM are 3–4 times higher and more variable than those identified in the first-line setting [18, 19] (Table 1). In our retrospective single center study, we analyzed patients with MM who underwent at least one HDT with autologous or allogeneic SCT and experienced disease relapse. We evaluated the prognostic role of 18F-FDG-PET-CT for OS and PFS, focusing on prognostic parameters that were mostly identified in larger prospective studies looking at baseline parameters and/or response to therapy.

Methods

We retrospectively evaluated patients with MM who underwent 18F-FDG-PET/CT in our center between 2012 and 2019. In this population, 36 pre-treated patients, who had received at least one autologous or allogeneic SCT and experienced disease relapse at the time of PET/CT investigation, were identified and included in the study. Relapse was defined according to IMWG-criteria [20]. Patients with relapse who had already started new therapy prior to the PET/CT were excluded. Clinical findings and laboratory results were integrated into our analysis (Table 2).
Table 2

Overview of patient’s data

ParameterNumber (%)
Patients, total36
 Age, years, median60
 Age, years, range44–76
 Sex, male20 (55.5%)
 Sex, female16 (44.5%)
MM subtype
 IgG Kappa/Lambda12 (33.3%)/7 (19.4%)
 IgA Kappa/Lambda3 (8.3%)/2 (5.6%)
 IgM Lambda1 (2.8%)
 Light chain only, Kappa5 (13.9%)
 Light chain only, Lambda3 (8.3%)
 Non-secretory3 (8.3%)
High-dose therapies with SCTs
 One autologous SCT17 (47.2%)
 Two autologous SCT12 (33.3%)
 Three autologous SCT1 (2.8%)
 Allogeneic SCT (following autologous)6 (16.7%) [5(13.9%)]
Therapy lines before current progress
 First line13 (36.1%)
 Second line9 (25%)
 Third line8 (22.2%)
 Fourth line4 (11.1%)
 Fifth line2 (5.6%)
 Median2
ISS2 stage at current progress
 I19 (52.8%)
 II13 (36.1%)
 III4 (11.1%)
Cytogenetics on FISH
 High-eisk6 (16.6%)
 Non-high-risk15 (41.7%)
 Cytogenetics not available15 (41.7%)
LDH
 Elevated (> 250 U/l)20 (55.5%)
 Normal (≤ 250 U/l)16 (44.5%)
Best response after last therapy line
 CR10 (27.7%)
 vgPR5 (13.9%)
 PR19 (52.8%)
 SD2 (5.6%)

SCT stem cell transplantation, ISS international staging system, FISH fluorescence in situ hybridization, CR complete remission, vgPR very good partial remission, PR partial remission, SD stable disease

Overview of patient’s data SCT stem cell transplantation, ISS international staging system, FISH fluorescence in situ hybridization, CR complete remission, vgPR very good partial remission, PR partial remission, SD stable disease

PET-CT Scans

All scans were performed as a non-contrast low-dose PET/CT (mCT, 128 slices, Siemens Healthineers). Scan range included whole body from the top of the head through the feet. The 18F-FDG-tracer dosing was adapted for body weight (3MBq 18F-FDG/kg). The visual evaluation of the PET was carried out using the Ultra-HD-3D mode reconstruction and the iterative 3D-mode reconstructions. The SUV measurements were conducted using the iterative 3D-mode reconstructions. The SUVmax was defined as maximal measured SUV value of the single most active intramedullary or extramedullary lesion on each scan using manually placed volumes of interest (VOI). Focal bone lesions were defined as FDG-avid focal areas within bone structure with tracer uptake intensity above median bone marrow activity (based on the prospective study by Bartel et al. [15]). The threshold of more than 3 focal lesions and the SUVmax cut-off value of 4 for survival analysis were based on prospective and larger retrospective studies of 18F-FDG-PET/CT prognostic role in first-line therapy (Table 1) and IMWG 2017 consensus statement [4]. The presence of PET-positive EMD was also evaluated. EMD was defined as FDG-avid lesion that was not contiguous to bone on CT-scan and arose in soft tissue.

Statistics

We used commercial software (SPSS ver. 23 by IBM Statistics) for statistical analysis. Kaplan–Meier survival analysis was performed to assess the time of OS and PFS with start-point at the moment of the PET/CT investigation. Survivors were censored at the time of the last clinical contact. In survival analysis, an event was defined as death of any reason for OS, and as next disease relapse or death for PFS. Log-rank tests were used to assess statistical significance. A significance level of p-value was set at 0.05. Besides PET parameters, clinical findings and laboratory results, as well as number of prior treatment lines, were evaluated as risk factors.

Results

Patient characteristics

Among 36 relapsed patients, 20 were male and 16 female (Table 2). Median age was 60 years (range 44–76). Seventeen patients previously underwent single autologous SCT, 12 patients received two autologous SCTs, and 1 patient had three autologous SCTs. Six patients underwent allogeneic SCT, five of them after previous autologous transplantation. Thirteen (36%) patients experienced first disease relapse, 9 (25%) had a second, 8 (22%) had a third, and 6 (17%) patients suffered a fourth or fifth relapse. With a median follow-up of 37.9 months, the median OS in the entire study population was 16.3 (SE 17.7) months. Median time of PFS of was 6.0 (SE 3.6) months. Five of 36 patients (14%) were lost to follow-up before reaching next progress or death.

PET parameters

At the time of relapse, 26/36 (72.2%) of our patients had a positive PET scan. Among those, 14/26 patients had only intramedullary disease, while 10/26 had both intra- and extramedullary FDG-avid lesions. Two patients had EMD only. Ten patients had a negative PET scan with no FDG-avid lesions detectable.

Maximal SUV

The median OS of the 16 patients with an SUVmax < 4 was not reached, while in the 20 patients with an SUVmax > 4 the estimated median survival was 3.9 (SE 8.01) months (p = 0.014, Fig. 1a). Using established first-line parameters, a significantly shorter time of PFS was observed in 20 patients with SUVmax > 4 (median of 4 (SE 0.17) vs. 15 (SE 4) months, p = 0.002) as well (Fig. 2a).
Fig. 1

Kaplan–Meier analysis of prognostic impact of PET-CT parameters for overall survival. a According to maximum SUV over 4. b According to number of focal lesions, threshold over 3. c According to presence of EMD

Fig. 2

Kaplan–Meier analysis of prognostic impact of PET-CT parameters for progression free survival. a According to maximum SUV over 4. b According to number of focal lesions, threshold over 3. c According to presence of EMD

Kaplan–Meier analysis of prognostic impact of PET-CT parameters for overall survival. a According to maximum SUV over 4. b According to number of focal lesions, threshold over 3. c According to presence of EMD Kaplan–Meier analysis of prognostic impact of PET-CT parameters for progression free survival. a According to maximum SUV over 4. b According to number of focal lesions, threshold over 3. c According to presence of EMD

Focal bone lesions

The presence of a single PET-positive focal lesion failed to achieve significance for OS in our population (p = 0.1). Looking at the established number of FL in first-line patients, the median survival of the 15 patients with more than 3 FLs was significantly shorter (3.8 months, SE 4.7) than in 21 patients with 3 or less FLs (median not reached, p = 0.003, Fig. 1b). Similarly, the presence of a single PET-positive focal lesion was not a significant predictor for shorter PFS (p = 0.08), while the threshold of > 3 focal lesions achieved significance as negative predictor for PFS (3.5 (SE 0.14) vs. 15 (SE 3.8) months, p < 0.001) (Fig. 2b). Interestingly, the presence of > 3 focal bone lesions on CT alone, without PET assessment of lesion activity, had no statistical significance as a negative predictor of OS or PFS (Table 3).
Table 3

The results of statistical analysis

ParameterPatients, nFor OSFor PFS
p-value, log-rankHazard ratio (CI 95%)p-value, log-rankHazard ratio (CI 95%)
PET/CT-parameters
SUVmax > 420/360.0143.19 (1.2–8.48)0.0023.01 (1.39–6.51)
n, FLs ≥ 123/360.102.29 (0.83–6.32)0.081.86 (0.88–3.93)
n, FLs > 315/360.0033.7 (1.48–9.27) < 0.0015.54 (2.25–13.6)
EMD Present versus not present12/360.0043.40 (1.39–8.30)0.0062.67 (1.23–5.83)
n, FLs > 3 on CT only*28/360.741.19 (0.39–3.59)0.541.31 (0.53–3.22)
Remission status
PR or worse versus at least vgPR21/360.3271.58 (0.63–3.97)0.3761.38 (0.67–2.83)
Prior therapy lines
 ≥ 223/360.2651.76 (0.64–4.87)0.1281.84 (0.83–4.07)
 ≥ 314/360.722.2 (0.91–5.4)0.0013.6 (1.59–8.13)
Clinical parameters
Age (≥ 65 years)11/360.1691.86 (0.75–4.58)0.0821.87 (0.86–4.07)
Elevated LDH (> 250 U/l)20/360.0063.86 (1.38–10.77)0.0032.89 (1.35–6.17)
ISS-Stage (I vs. II vs. III)19/13/40.0162.37 (1.26–4.44)0.0461.88 (1.09–3.24)

The statistically significant results with p-value below 0.05 are highlighted in bold

OS overall survival, PFS progression free survival, SUV standardized uptake value, FLs focal (bone) lesions, EMD extramedullary disease, PR partial remission, vgPR very good partial remission, FLC free light chains. *Over 3 bone lesions on CT without PET-positivity

The results of statistical analysis The statistically significant results with p-value below 0.05 are highlighted in bold OS overall survival, PFS progression free survival, SUV standardized uptake value, FLs focal (bone) lesions, EMD extramedullary disease, PR partial remission, vgPR very good partial remission, FLC free light chains. *Over 3 bone lesions on CT without PET-positivity

Extramedullary disease

FDG-avid EMD was present in 12/36 (33.3%) of our patients. In patients with EMD the median OS was 3.63 (SE 2.2) months, compared to not reached in patients with no EMD on PET/CT (p = 0.004, Fig. 1c). In patients with EMD the median PFS was 3.5 (SE 0.4) months, compared to 11 (SE 1.8) months in patients with no EMD on PET-CT (p = 0.006, Fig. 2c). In 9/12 cases the SUVmax was located in the extramedullary lesion and in 8 of those 9 cases it exceeded the threshold of 4. In 8 of 12 patients radiation therapy of PET-positive extramedullary lesions was initiated, demonstrating relevance for therapy planning.

Laboratory and clinical parameters

Laboratory parameters were assessed at the time of PET/CT investigation (Table 3). Thirteen patients had ISS stage II and four had stage III. The OS was significantly shorter in patients with higher ISS stage (3.9 and 13.6 months vs. not reached, p = 0.016, Fig. 3a). The ISS stage had somewhat weaker, but still significant negative predictive value for PFS as well (p = 0.046, Fig. 3b). In 15/36 patients cytogenetic analysis was not available, precluding determination of disease stage according to the revised ISS (R-ISS). The role of elevated LDH (> 250 U/l), as an element of R-ISS, was assessed separately. LDH was elevated in 20/36 patients and was predictive of significantly shorter OS (6 months vs. not reached, p = 0.006, Fig. 3c) and PFS (4 vs. 15 months, p = 0.003, Fig. 3d). Patients relapsing after third-line or later line of therapy had significantly shorter PFS (p = 0.001) and showed a strong trend to lower OS (p = 0.069).
Fig. 3

Kaplan–Meier analysis of prognostic impact of serum LDH levels and ISS-Stage for OS and PFS. a According to ISS—Stage (OS), b according to ISS—Stage (PFS), c according to LDH, threshold > 250 U/l (OS), d according to LDH, threshold > 250 U/l (PFS)

Kaplan–Meier analysis of prognostic impact of serum LDH levels and ISS-Stage for OS and PFS. a According to ISS—Stage (OS), b according to ISS—Stage (PFS), c according to LDH, threshold > 250 U/l (OS), d according to LDH, threshold > 250 U/l (PFS)

Combining PET and ISS

To identify the patients with the highest risk, we evaluated the combined value of PET and ISS. We selected the cases in which both higher ISS stage (II or III) and at least one of the predictive PET parameters (EMD, nFL > 3, or SUVmax > 4) was present. These “high-risk” patients (n = 11) had significantly shorter OS than the rest of the population (3.7 (SE 0.2) months vs. not reached, p < 0.001), with minimal variability. The PFS was significantly shorter in these patients, too (3.63 (SE 0.14) vs. 11.7 (SE 2.2), p < 0.001). In contrast, the “low-risk” patients with ISS stage I and none of the predictive PET parameters survived significantly longer (OS: not reached vs. 13.6 months, p = 0.028; PFS: 20.7 vs. 5.9 months, p = 0.007). The comparison of “high-risk” versus “low-risk” patients versus others in a single model is demonstrated in Fig. 4.
Fig. 4

Kaplan–Meier analysis of combined prognostic impact of ISS and PET-Parameters. a according to OS, b according to PFS. *negative PET—none of established predictive PET-parameters (SUVmax > 4, nFLs > 3, EMD) present. **positive PET—at least one of predictive PET-parameters (SUVmax > 4, nFLs > 3, EMD) present

Kaplan–Meier analysis of combined prognostic impact of ISS and PET-Parameters. a according to OS, b according to PFS. *negative PET—none of established predictive PET-parameters (SUVmax > 4, nFLs > 3, EMD) present. **positive PET—at least one of predictive PET-parameters (SUVmax > 4, nFLs > 3, EMD) present

Discussion

Evaluation of the prognostic role of PET/CT in the first line setting of myeloma treatment identified useful thresholds for certain parameters. For instance, Bartel et al. [15] showed in a large prospective study of 239 patients that the presence of more than 3 FDG-avid focal bone lesions at baseline was an independent prognostic factor for OS and event-free survival (EFS), while the presence of FDG-avid EMD and a SUVmax > 3.9 were significant on monovariate analysis. These findings were confirmed in a prospective study of 192 patients by Zamagni et al. in 2011. Presence of FDG-avid EMD and SUVmax > 4.2 at baseline were identified as independent negative prognostic factors for OS and PFS [8]. The presence of more than 3 PET-positive FLs at day 7 of induction therapy was an independent negative prognostic parameter for OS and PFS in the large prospective study of 302 patients by Usmani et al. [11]. In 2015, Zamagni et al. demonstrated the negative prognostic role of baseline SUVmax > 4.2 for PFS and OS in a retrospective evaluation of 282 patients [9]. Patriarca et al. [10] demonstrated the negative prognostic role of SUVmax > 4.2 in 67 patients prior to autologous SCT. Davies et al. [14] corroborated the presence of more than 3 PET-positive FLs at baseline as a negative prognostic parameter for OS and PFS in a retrospective evaluation of 596 cases. Wang et al. [16] demonstrated the negative prognostic role of EMD present at baseline for both OS and PFS. The IMWG 2017 consensus statement proposed a threshold of SUV > 4 for defining significant PET-positivity [4]. In comparison, retrospective analyses in patients with relapse after SCT identified significantly higher prognostic thresholds. A study of 40 patients by Jamet et al. selected relapsed patients after high-dose chemotherapy and SCT. A SUVmax > 15.9 and more than 13 FLs (or > 6 FLs in appendicular skeleton) were identified as negative prognostic predictors for PFS [19]. Earlier, Lapa et al. [18] had performed a retrospective analysis of 37 patients suffering relapse after at least one autologous and/or allogeneic SCT. A SUVmax > 18.57 was predictive of shorter time to progression (TTP), while more than 10 FLs and the presence of EMD predicted both shorter TTP and OS. In both studies, patients were heavily pre-treated prior to relapse, which is true for our study as well. We used a lower threshold of SUVmax > 4, based on the results of larger first line studies. In our relapse population, the SUVmax > 4 had a negative prognostic impact on both OS and PFS. A similar trend was seen regarding cut-offs for active FLs. Multiple pre-SCT studies of patients in first-line therapy identified a threshold of more than 3 FLs as a negative predictor for OS and/or PFS [8, 9, 14, 15, 17]. Similar to SUVmax, the threshold number of FLs with negative prognostic power was much higher (6 or 10 FLs) in retrospective studies of relapsed MM [18, 19]. However, the results of our analysis support the prognostic significance of the lower cut-off value of FL > 3 for OS and PFS in patients with relapsed MM. Furthermore, the presence of PET-positive EMD was a significant negative predictor of OS and PFS, in accordance with the results of multiple first line studies, and as demonstrated by Lapa et al. [18] for relapsed myeloma. While the comparison with previous relapse studies is hampered by small study populations and variability of pretreatment intensity, our findings still provide a basis for comparing prognostic thresholds of PET/CT parameters in the first-line and relapse settings. ISS stage is the most widely used tool for prognostic assessment and demonstrated prognostic significance for OS and PFS in our patient population. Combining ISS and PET-parameters allowed us to reliably identify patients with particularly short survival. We demonstrated that PET is an independent prognostic parameter, adding prognostic information to ISS stage. The combined use of PET thresholds and clinical parameters may enhance PET-based prognostic evaluation in the first-line and relapse setting. Our analysis has certain limitations. Similar to other studies of PET/CT in MM relapse after SCT, patients in our study were heterogeneous regarding their pretreatment history. 23 of 36 patients (63.8%) had received at least 2 lines of therapy before current relapse, and 18 of 36 (50%) had received more than one SCT. Since patient selection for our retrospective analysis covered a 7-year period (2012–2019), treatment protocols varied substantially. In addition, small patient numbers render multivariate models less informative and put more emphasis on univariate analysis. Still, the established clinical prognostic parameters, including elevated LDH and higher ISS proved themselves as significant negative predictors for both OS and PFS in our relatively small study population. The applicability of established clinical prognostic parameters suggests that our patient cohort is representative of a wider population of patients with MM and supports the conclusions drawn from this study population. Our results could contribute to the management of MM at relapse after SCT. Data up to now only showed that very high thresholds for PET-parameters, such as SUVmax of over 15 or 18 and nFLs of over 6 or 10 are prognostically relevant in relapse setting [18, 19]. We show that lower thresholds of FLs > 3 or SUVmax > 4 already identify patients with high risk and therefore should lead physicists to treat these patients more aggressively. The presence of extramedullary disease was a significant negative prognostic parameter both in our population and in previous studies.

Conclusions

We show that the same PET/CT parameter thresholds that are used in the first-line setting can also stratify patients with relapsed MM and identify those with particularly poor prognosis. Our findings demonstrate the prognostic yield of PET/CT in MM relapse independent of ISS stage and suggest that the same thresholds for PET prognostic parameters can be used at baseline and at later stages in the course of disease.Patients with relapsed MM who show unfavourable prognostic PET/CT parameters may survive only few months. The use of 18F-FDG-PET/CT, especially in combination with established clinical parameters, may thus help to select high-risk patients with MM relapse who may benefit from aggressive treatment approaches.
  22 in total

1.  Added prognostic value of FDG-PET/CT in relapsing multiple myeloma patients.

Authors:  Bastien Jamet; Clément Bailly; Thomas Carlier; Lucie Planche; Cyrille Touzeau; Françoise Kraeber-Bodéré; Philippe Moreau; Caroline Bodet-Milin
Journal:  Leuk Lymphoma       Date:  2018-05-02

2.  Clinical relevance of PET/CT in patients with newly diagnosed multiple myeloma.

Authors:  Chaoyu Wang; Ling Wu; Chengtao Sun; Yizhuo Zhang
Journal:  Int J Clin Exp Pathol       Date:  2019-02-01

Review 3.  International Myeloma Working Group updated criteria for the diagnosis of multiple myeloma.

Authors:  S Vincent Rajkumar; Meletios A Dimopoulos; Antonio Palumbo; Joan Blade; Giampaolo Merlini; María-Victoria Mateos; Shaji Kumar; Jens Hillengass; Efstathios Kastritis; Paul Richardson; Ola Landgren; Bruno Paiva; Angela Dispenzieri; Brendan Weiss; Xavier LeLeu; Sonja Zweegman; Sagar Lonial; Laura Rosinol; Elena Zamagni; Sundar Jagannath; Orhan Sezer; Sigurdur Y Kristinsson; Jo Caers; Saad Z Usmani; Juan José Lahuerta; Hans Erik Johnsen; Meral Beksac; Michele Cavo; Hartmut Goldschmidt; Evangelos Terpos; Robert A Kyle; Kenneth C Anderson; Brian G M Durie; Jesus F San Miguel
Journal:  Lancet Oncol       Date:  2014-10-26       Impact factor: 41.316

4.  Prognostic relevance of 18-F FDG PET/CT in newly diagnosed multiple myeloma patients treated with up-front autologous transplantation.

Authors:  Elena Zamagni; Francesca Patriarca; Cristina Nanni; Beatrice Zannetti; Emanuela Englaro; Annalisa Pezzi; Paola Tacchetti; Silvia Buttignol; Giulia Perrone; Annamaria Brioli; Lucia Pantani; Carolina Terragna; Francesca Carobolante; Michele Baccarani; Renato Fanin; Stefano Fanti; Michele Cavo
Journal:  Blood       Date:  2011-09-06       Impact factor: 22.113

Review 5.  Multiple myeloma.

Authors:  Christoph Röllig; Stefan Knop; Martin Bornhäuser
Journal:  Lancet       Date:  2014-12-23       Impact factor: 79.321

6.  F18-fluorodeoxyglucose positron emission tomography in the context of other imaging techniques and prognostic factors in multiple myeloma.

Authors:  Twyla B Bartel; Jeff Haessler; Tracy L Y Brown; John D Shaughnessy; Frits van Rhee; Elias Anaissie; Terri Alpe; Edgardo Angtuaco; Ronald Walker; Joshua Epstein; John Crowley; Bart Barlogie
Journal:  Blood       Date:  2009-05-14       Impact factor: 22.113

7.  Metabolic tumor volume assessed by 18F-FDG PET/CT for the prediction of outcome in patients with multiple myeloma.

Authors:  Rosa Fonti; Michele Larobina; Silvana Del Vecchio; Serena De Luca; Rossella Fabbricini; Lucio Catalano; Fabrizio Pane; Marco Salvatore; Leonardo Pace
Journal:  J Nucl Med       Date:  2012-10-15       Impact factor: 10.057

Review 8.  International Myeloma Working Group consensus criteria for response and minimal residual disease assessment in multiple myeloma.

Authors:  Shaji Kumar; Bruno Paiva; Kenneth C Anderson; Brian Durie; Ola Landgren; Philippe Moreau; Nikhil Munshi; Sagar Lonial; Joan Bladé; Maria-Victoria Mateos; Meletios Dimopoulos; Efstathios Kastritis; Mario Boccadoro; Robert Orlowski; Hartmut Goldschmidt; Andrew Spencer; Jian Hou; Wee Joo Chng; Saad Z Usmani; Elena Zamagni; Kazuyuki Shimizu; Sundar Jagannath; Hans E Johnsen; Evangelos Terpos; Anthony Reiman; Robert A Kyle; Pieter Sonneveld; Paul G Richardson; Philip McCarthy; Heinz Ludwig; Wenming Chen; Michele Cavo; Jean-Luc Harousseau; Suzanne Lentzsch; Jens Hillengass; Antonio Palumbo; Alberto Orfao; S Vincent Rajkumar; Jesus San Miguel; Herve Avet-Loiseau
Journal:  Lancet Oncol       Date:  2016-08       Impact factor: 41.316

Review 9.  PET Imaging for Initial Staging and Therapy Assessment in Multiple Myeloma Patients.

Authors:  Clément Bailly; Rodolphe Leforestier; Bastien Jamet; Thomas Carlier; Mickael Bourgeois; François Guérard; Cyrille Touzeau; Philippe Moreau; Michel Chérel; Françoise Kraeber-Bodéré; Caroline Bodet-Milin
Journal:  Int J Mol Sci       Date:  2017-02-18       Impact factor: 5.923

10.  Prognostic Value of Baseline 18F-Fluorodeoxyglucose PET/CT in Patients with Multiple Myeloma: A Multicenter Cohort Study.

Authors:  Seung Hwan Moon; Woo Hee Choi; Ie Ryung Yoo; Soo Jin Lee; Jin Chul Paeng; Shin Young Jeong; Sang-Woo Lee; Kihyun Kim; Joon Young Choi
Journal:  Korean J Radiol       Date:  2018-04-06       Impact factor: 3.500

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