Table 3.
Author | Year | Patient no. | Stage | Treatment | Events (follow-up cut-off) | Segmentation threshold | MTV/ TLG |
Suggested cut-off | Predictive univariate analysis HR (95% CI) |
Predictive multivariate analysis HR (95% CI), parameters included in multivariate analysis |
|||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
I/II | III/IV | PFS | OS | PFS | OS | ||||||||
Aide [10] | 2020 | 132 | NR | NR | R-CHOP, R-ACVBP |
Relapse/death: 102 (2-year) |
SUVmax of liver | MTV | 111 ml |
10.2 (1.4–75.5) (training data set) NS (Validation dataset) |
NR |
NS aa-IPI LZHGE |
NR |
Capobianco [15] | 2020 | 280 | 26 | 264 | R-CHOP |
Relapse: 86 Died: 51 (4-year) |
41% SUVmax | MTV | 242 ml | NR | 3.7 (1.9–7.2) | NR | NR |
CNN segmentation | MTV | 110 ml | NR | 2.8 (1.6–5.1) | NR | NR | |||||||
Decazes [23] | 2018 | 215 | 51 | 164 | R-CHOP, R-CHOP like, R-ACVBP |
Relapse: 92 Died: 74 (5-year) |
41% SUVmax | MTV | 487 ml | 3.10(1.95–4.95) | 4.09(2.32–7.21) | 2.20 (1.26–3.83) IPI, chemotherapy, TVSR | 2.78(1.41–5.48) IPI, chemotherapy, TVSR |
Ilyas [27] | 2018 | 147 | 46 | 101 | R-CHOP |
PFS: 65.4% OS: 73.7% (5-year) |
PETTRA 2.5 | MTV |
PFS:396.1 ml OS: 457.8 ml |
5.9 (2.9–12.2) | 5.5 (2.4–12.5) | NR | NR |
HERMES 2.5 | MTV |
PFS:401.4 ml OS: 401.4 ml |
5.9 (2.9–12.2 CI) |
5.5 (2.4– 12.5) |
NR | NR | |||||||
HERMES PERCIST | MTV |
PFS:327.4 ml OS: 669.8 ml |
4.8 (2.4–9.5 CI) | 3.7 (1.8–7.8) | NR | NR | |||||||
HERMES 41% | MTV |
PFS:165.7 ml OS: 189.3 ml |
4.2 (2.2–7.9 CI) for | 3.5 (1.8–7.0) | NR | NR | |||||||
Senjo [41] | 2019 | 150 (combined training and validation) | 66 | 84 | R-CHOP, R-THP-COP, R-CVP |
Relapse 21 Died 48 (5-year) |
>4.0 SUV | MTV | 150 ml | NR | NR | 2.49 (1.57–3.94) | 2.75 (1.72–4.38) |
Zhang [48] | 2019 | 85 | 32 | 53 | R-CHOP/R-CHOP-like |
Relapse: 23 Died: 6 (3-years) |
MTV | 80.74 ml | 10.32 (2.42–44.08) | NR |
NR Correlated with TLG |
NR | |
TLG | 1036.61 g | 10.39 (2.43–44.39) | NR | 10.42, (2.35–46.30) | NR | ||||||||
Toledano [45] | 2018 | 114 | 26 | 88 | R-CHOP/R-CHOP like |
Relapse: 52 Died: 43 (5-year) |
41% SUVmax | MTV | 261.4 ml | 2.91 (1.60–5.29) | 4.32 (2.07–8.99) |
2.05 (HR 1.02–4.15) GEP, IPI |
2.70 (1.16–6.33) GEP, IPI |
TLG | 1325.8 g | NS MC | 4.82 (2.67–8.71) | NR | NR | ||||||||
Chang [17] | 2017 | 118 | 48 | 70 | R-CHOP |
Relapse: 55 Died: 49 (5-year) |
≥2.5 SUV | MTV | 165.4 ml | 3.32 (1.78–6.20) | 4.05 (2.07–7.95) |
2.31 (1.16–4.60) IPI |
2.38 (1.12–5.04) Age, IPI |
TLG | 1204.9 ml | 2.57 (1.43–4.61) | 2.96 (1.61–5.45) | NR | NR | ||||||||
Cottereau [22] | 2016 | 81 | 16 | 65 | R-CHOP, R-ACVBP |
Relapse: 34 (5-year) |
41% SUVmax | MTV | 300 ml | 3.06 (1.43–6.54) | 3.01 (1.35–6.70) | 1.61 (0.70–3.69) | 3.0 (1.35–6.70) |
TLG | 3904 g | 2.92 (1.45–5.90) | 2.39 (1.16–4.92) | NS | NS | ||||||||
Song [42] | 2016 | 107* | 107 | R-CHOP | NR | ≥2.5 SUV | MTV | 601.2 ml | Sig. | Sig. |
5.21 (2.54–10.69) IPI, bulky disease, BMI, IM MTV, CAs |
5.33 (2.60–10.90) IPI, bulky disease, BMI, IM MTV, CAs |
|
IM MTV | 260.5 ml | Significant | Significant | NS | NS | ||||||||
Zhou [49] | 2016 | 91 | 34 | 57 | R-CHOP |
Relapse: 37 Died: 11 (5-year) |
SUVmean of liver +3 SD | MTV |
PFS: 70 ml OS: 78 ml |
88 vs. 37% | 98 vs. 60% | NS | NS |
TLG |
PFS: 826.5 g OS: 726 g |
83 vs. 34% | 92 vs. 67% |
5.21 (2.21–12.28) MTV, NCCN-IPI, Stage, B symptoms, LDH level Ki-67 |
9.1 (1.83–45.64) MTV, NCCN-IPI, Stage, B symptoms, LDH level Ki-67 |
||||||||
Mikhaeel [36] | 2016 | 147 | 46 | 101 | R-CHOP |
PFS5: 65.4% OS5: 73.7% (5-year) |
41% SUVmax | MTV | Terties |
Upper: 5.81 (2.38–14.14) Middle: 3.77 (1.49–9.51) |
Sig. |
Upper: 3.46 (1.10–10.86) Middle: 2.73 (0.89–8.40) |
NR |
TLG | Tertiles |
Upper: 4.90 (2.11- 11.38) Middle: (2.96 1.24 7.10) |
Sig. | NR | NR | ||||||||
Xie [47] | 2016 | 60 | 12 | 48 | R-CHOP |
Relapse: 17 Died: 3 (40 months) |
SUVmean of liver +2SD | MTV | Continuous | 1.030 (1.017–1.044) | NR |
1.028 (1.014–1.043) NCCN-IPI |
NR |
TLG | Continuous | 1.078 (1.042–1.116) | NR |
1.071 (1.032–1.112) NCCN-IPI |
NR | ||||||||
Adams [9] | 2015 | 73 | 11 | 62 | R-CHOP |
Relapse: 27 Death: 24 (No defined cut-off) |
40% SUVmax | MTV | 445 ml | NS | 2.40 (1.03–5.60) | NR |
NS NCCN-IPI |
TLG | 4897.5 g | NS | NS | NR | NR | ||||||||
Kim [30] | 2014 | 96 | 49 | 47 | R-CHOP |
PFS3: 69.5% OS3: 72.9% (No defined cut-off) |
≥2.5 SUV | MTV | 130.7 ml | 11.2 (1.4–88.1) | NR |
10.4 (1.3–83.4) IPI >/equal to 3 NS with IPI as individual parameters |
NR |
Gallicchio [25] | 2014 | 52 | 41 | 11 | R-CHOP like |
Relapse: 15 Death: 2 (18 months) |
42% SUVmax | MTV | 16.1 ml | NS | NR | NR | NR |
TLG | 589.5 g | NS | NR | NR | NR | ||||||||
Sasanelli [40] | 2014 | 114 | 20 | 94 | R-CHOP/R-ACVBP |
Relapse: 31 Died: 25 (3-year) |
41% SUVmax | MTV | 550 ml | 77 vs. 60% | 87% vs. 60%/59% vs. 78% vs. 84% vs. 93% | NS |
4.70 (1.82–12.18) Stage, LDH, Bulky disease 4.11 (1.67–10.16) aa-IPI, bulky disease |
TLG | 4576 g | NS | 64 vs. 85% | NR | NR | ||||||||
Esfahani [24] | 2013 | 20 | 8 | 12 | R-CHOP |
Relapse: 6 Died: 0 (No defined cut-off) |
50% SUVmax | MTV | 379.2 ml | NS | N/A | NR | n/A |
TLG | 704.8 g | 11.21 (1.29–97) | N/A | NR | N/A | ||||||||
Kim [31] | 2013 | 140 | 77 | 63 | R-CHOP |
Relapse: 21 Died: 16 (2-year) |
25, 50 and 75% SUVmax | TLG25 | 817.8 g | 2.8 (1.1–7.1) | NS | NR | NR |
TLG50 | 415.5 g | 3.6 (1.3–10.0) | 3.3 (1.0–10.0) |
3.6 (1.3–10.0) IPI (2 splits) |
3.1 (1.0–9.6) IPI(2 splits) |
||||||||
TLG75 | 102.0 g | 3.5 (1.3–9.5) | NS | NR | NR | ||||||||
Park [39] | 2012 | 100 | 55 | 45 | R-CHOP | NR | Blood Pool threshold | TLG | NR | NS | NR | NR | NR |
Song [44] | 2012 | 169 | 100 | 69 | R-CHOP |
PFS: 73.4% OS: 76.3 (3-year) |
≥2.5 SUV | MTV | 220 ml | 5.80 (2.79–12.06) | 8.10 (3.40–19.31) |
5.30 (2.51–11.16) Stage 3 |
7.01 (2.90–16.93) Stage 3 |
NR not reported; NS not significant; Sig. significant; HR hazard ratio; CI confidence interval; PFS progressive free survival; OS overall survival; R-CHOP rituximab cyclophosphamide, doxorubicin hydrochloride, vincristine (Oncovin) and prednisolone; R-ACVBP Rituximab, Doxorubicin, Cyclophosphamide, Vindesine, Bleomycin, prednisolone; R-THP-COP rituximab, pirarubicin, cyclophosphamide, vincristine and prednisolone; R-CVP rituximab, cyclophosphamide, vincristine, prednisolone; BMI bone marrow involvement; aa-IPI age-adjusted International Prognostic Index; NCCN-IPI National Comprehensive Cancer Network – International Prognostic Index; IM intramedullary; CAs cytogenetic abnormalities; LZHGE Long-Zone High Grey-level Emphasis