Table 5.
Effect of immune and metabolic markers on pathologic response (in the presence of 18F-FDG-PET/CT)
| Author | Total sample size | n pGR (TRG1–2)a | n pPR (TRG3–5)a | Correlation clinical biomarkers with pathologic tumor response | p-Value | |
|---|---|---|---|---|---|---|
| ΔSUVmax | ||||||
| Fang et al., 201732 b | 20 | 14 | 6 | ΔSUVmax was not correlated with pCR on interim and post-CRT scan |
0.508; 1.00 |
|
| Kukar et al., 201534 c | 77 | 22 | 55 | ΔSUVmax was higher in pGR | 0.03 | |
| Arnett et al., 201635 d | 193 | NM | NM | ΔSUVmax was not correlated with pCR | 0.25 | |
| Lee et al., 202138 e | 158 | 44 | 114 | ΔSUVmax did not differ between pCR and pPR | 0.201 | |
| Van Rossum et al., 201740 d | 70 | 27 | 43 | Higher ΔSUVmax was significantly related to a good response | 0.01 | |
| Li et al., 202121 d | 127 | 57 (TRG1) | 70 (TRG2–5) | ΔSUVmax was an independent predictor for pCR | 0.002 | |
| % reduction in SUVmax | ||||||
| Kukar et al., 201534 c | 77 | 22 | 55 | % reduction SUVmax was higher in pGR | 0.03 | |
| Lee et al., 202138 e | 158 | 44 | 114 | % reduction SUVmax did not differ between pCR and pPR | 0.071 | |
| Piessen et al., 201339 b | 60 | 21 | 25 | No significant difference in % reduction SUVmax between pGR and pPR | 0.310 | |
| Dewan et al., 201737 d | 70 | 24 (TRG1) | 46 (TRG2–5) | % reduction SUVmax of 72.32% predicts pCR (sensitivity 70.8%, specificity 67.4%) | 0.011 | |
| TLG | ||||||
| Choi et al., 202136 d | 275 | 75 (TRG1) | 200 (TRG2–5) | Higher pre-CRT TLG (> 205.67) was associated with a lower probability of pCR | 0.0318 | |
| Van Rossum et al., 201740 d | 70 | 27 | 43 | Higher post-TLG was associated with a higher chance of pPR | 0.01 | |
| MTV | ||||||
| Fang et al., 201732 b | 20 | 14 | 6 | MTV was not correlated with pCR on interim and post-CRT scan | 0.198; 0.6 | |
| Gillham et al., 200633 c | 32 | 9 | 23 | No correlation between MTV and TRG | 0.472 | |
| Choi et al., 202136 d | 275 | 75 (TRG1) | 200 (TRG2–5) | Higher post-MTV (> 4.99) was associated with a low probability of pCR | 0.0005 | |
| Van Rossum et al., 201740 d | 70 | 27 | 43 | Higher post-MTV was associated with a higher chance of pPR | 0.01 | |
| ΔSUVmean | ||||||
| Fang et al., 201732 b | 20 | 14 | 6 | No correlation between ΔSUVmean and TRG on interim and post-CRT scan | 0.424; 0.704 | |
| Gillham et al., 200633 c | 32 | 9 | 23 | No correlation between ΔSUVmean and TRG | 0.645 | |
| Kukar et al., 201534 c | 77 | 22 | 55 | ΔSUVmean was higher in pGR | 0.03 | |
| ΔSUVratio | ||||||
| Li et al., 202121 d | 127 | 57 (TRG1) | 70 (TRG2–5) | ΔSUVratio was an independent predictor for pCR | 0.007 | |
| Obesity | ||||||
| Wang et al., 201022 d | 405 | 85 (TRG1) | 121 (TRG2–5) | BMI is not a significant predictor for pCR | 0.9879 |
Bold values indicate the significant values (p < 0.05)
a In case studies that made different divisions in pathologic responders, the numbers and specific tumor regression grade were indicated in the table
b Mann–Whitney test
c Wilcoxon rank-sum test and Kruskal–Wallis
d Logistic regression
e Student’s t-test
18F-FDG-PET/CT F-18 fluorodeoxyglucose positron emission tomography/computed tomography, pGR pathologic good responders, pPR pathologic poor responders, TRG tumor regression grade according to Mandard, SUVmax maximum standardized uptake value, SUVmean mean standardized uptake value, TLG total lesion glycolysis, MTV metabolic tumor volume, SUVratio standardized uptake value ratio, NM not mentioned, pCR pathologic complete response, BMI body mass index