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FIGURE 1.

Flow-chart of including process of patients.CAP/TEM = capecitabine and temozolomide; DWI = diffusion-weighted imaging
Flow-chart of including process of patients.CAP/TEM = capecitabine and temozolomide; DWI = diffusion-weighted imaging

FIGURE 2.

A 72-year-old man with liver metastasis of pancreatic NET classified as responder with a PFS of 38 months. The baseline axial contrast-enhanced T1- weighted image (hepatobiliary phase) (A) shows hypointense lesions (arrows) in segment 8 and exophytic in segment 1. The metastases show (B) restricted diffusion (arrows) with high signal on axial DW-MR image b = 800 s/mm2 and dark signal (arrows) on ADC map (C). After initiation of CAPTEM, the metastases (arrows) exhibited a decrease in size (D) On the axial DW-MR image b = 800 s/mm2, the metastasis (arrow) (E) demonstrated less hyperintense signal to liver and predominantly hyperintense signal (circle) on the ADC map (F) indicating less restricted diffusion compared to the preinterventional image.ADC = apparent diffusion coefficient; CAPTEM = capecitabine and temozolomide; DW-MR = diffusion-weighted magnetic resonance; NET = neuroendocrine tumor; PFS = progression-free survival; PR =partial remission; TARE = transarterial radioembolization
A 72-year-old man with liver metastasis of pancreatic NET classified as responder with a PFS of 38 months. The baseline axial contrast-enhanced T1- weighted image (hepatobiliary phase) (A) shows hypointense lesions (arrows) in segment 8 and exophytic in segment 1. The metastases show (B) restricted diffusion (arrows) with high signal on axial DW-MR image b = 800 s/mm2 and dark signal (arrows) on ADC map (C). After initiation of CAPTEM, the metastases (arrows) exhibited a decrease in size (D) On the axial DW-MR image b = 800 s/mm2, the metastasis (arrow) (E) demonstrated less hyperintense signal to liver and predominantly hyperintense signal (circle) on the ADC map (F) indicating less restricted diffusion compared to the preinterventional image.ADC = apparent diffusion coefficient; CAPTEM = capecitabine and temozolomide; DW-MR = diffusion-weighted magnetic resonance; NET = neuroendocrine tumor; PFS = progression-free survival; PR =partial remission; TARE = transarterial radioembolization

FIGURE 3.

A 56-year-old man with liver metastasis of pancreatic NET classified as nonresponder with a PFS of 3 months. The baseline axial contrast-enhanced T1- weighted image (hepatobiliary phase) (A) shows a hypointense lesion (arrow) in segment 4A. The metastasis shows a strong artrerial enhancement (B) and restricted diffusion (arrow) with high signal on axial DW-MR image b = 800 s/mm2 (C) and dark signal (arrow) on ADC map (D). After 3 months under CAPTEM, the metastasis (arrow) (E) exhibited an increase in size; however, it shows less arterial enhancement (F). On the axial DW-MR image b = 800 s/mm2, the metastasis (arrow) demonstrated hyperintense signal to liver and increasing hypointense signal on the ADC map indicating increasing restricted diffusion compared to the baseline image ADC, apparent diffusion coefficient.ADC = apparent diffusion coefficient; CAPTEM = capecitabine and temozolomide; DW-MR = diffusion-weighted magnetic resonance; NET = neuroendocrine tumor; PFS = progression-free survival
A 56-year-old man with liver metastasis of pancreatic NET classified as nonresponder with a PFS of 3 months. The baseline axial contrast-enhanced T1- weighted image (hepatobiliary phase) (A) shows a hypointense lesion (arrow) in segment 4A. The metastasis shows a strong artrerial enhancement (B) and restricted diffusion (arrow) with high signal on axial DW-MR image b = 800 s/mm2 (C) and dark signal (arrow) on ADC map (D). After 3 months under CAPTEM, the metastasis (arrow) (E) exhibited an increase in size; however, it shows less arterial enhancement (F). On the axial DW-MR image b = 800 s/mm2, the metastasis (arrow) demonstrated hyperintense signal to liver and increasing hypointense signal on the ADC map indicating increasing restricted diffusion compared to the baseline image ADC, apparent diffusion coefficient.ADC = apparent diffusion coefficient; CAPTEM = capecitabine and temozolomide; DW-MR = diffusion-weighted magnetic resonance; NET = neuroendocrine tumor; PFS = progression-free survival

FIGURE 4.

(A) Survival analysis for ∆ size of NELM with a cut-off of ≤ 0% for responder. This cut-off revealed a slightly longer median PFS time of 12.2 vs. 3.6 month (p = 0.062). (B) The median cut-off for ∆ ADCmean/ADCmean liver showed a significantly longer median PFS time of 15.3 compared to 4.1 month (p = 0.024). Both the combination of ∆ size of NELM > 0% and ∆ ADCmin < − 2.9% and the combination of ∆ size of NELM > 0% and ∆ CgA > 12.6% could differentiate patients with a longer median PFS time. Median PFS of the group with ∆ size of NELM > 0% and ∆ ADCmin < −2.9% was 3.6 m compared to 12 months (p = 0.021) in the group not fulfilling these criteria or a maximum of one criterion. Median PFS of the group with ∆ size of NELM > 0% and ∆ CgA > 12.6% was 3.6 m compared to 11.3 months (p = 0.072) in the group not fulfilling these criteria or a maximum of one criterium.ADC = apparent diffusion coefficient; CgA = chromogranin A; NELM = neuroendocrine liver metastasis; PFS = progression-free survival
(A) Survival analysis for ∆ size of NELM with a cut-off of ≤ 0% for responder. This cut-off revealed a slightly longer median PFS time of 12.2 vs. 3.6 month (p = 0.062). (B) The median cut-off for ∆ ADCmean/ADCmean liver showed a significantly longer median PFS time of 15.3 compared to 4.1 month (p = 0.024). Both the combination of ∆ size of NELM > 0% and ∆ ADCmin < − 2.9% and the combination of ∆ size of NELM > 0% and ∆ CgA > 12.6% could differentiate patients with a longer median PFS time. Median PFS of the group with ∆ size of NELM > 0% and ∆ ADCmin < −2.9% was 3.6 m compared to 12 months (p = 0.021) in the group not fulfilling these criteria or a maximum of one criterion. Median PFS of the group with ∆ size of NELM > 0% and ∆ CgA > 12.6% was 3.6 m compared to 11.3 months (p = 0.072) in the group not fulfilling these criteria or a maximum of one criterium.ADC = apparent diffusion coefficient; CgA = chromogranin A; NELM = neuroendocrine liver metastasis; PFS = progression-free survival

ROC analysis of the previously selected imaging and clinical parameters

AUC Cut-off (Median) Sensitivity (%) Specificity (%) Youden-Index
Ki-67% 0.72 > 15 69 59 0.28
Hepatic tumor burden 0.73 < 10 84 72 0.56
∆ CgA 0.73 > 12.6 67 64 0.31
∆Size NELM 0.71 > 0 69 65 0.34
∆ Size PNET - > −2.7 100 50 0.50
∆ ADCmin 0.71 < −2.9 65 63 0.28
∆ ADCmean/ADCmean liver 0.76 < 6.9 76 75 0.51
∆ Size NELM+ ∆ CgA 0.79 > 0/> 12.6 78 60 0.38
∆ Size NELM+ ∆ ADCmin 0.70 > 0/< −2.9 88 60 0.48
∆ Size NELM+ ∆ ADCmean/ ADCmean liver 0.77 > 0/< 6.9 78 58 0.36

Patients characteristics

Baseline N = 44 Follow-Up N = 33
Age (years) 60.4 (50.5; 70.2)
Males 33 (75.0%)
Time initial diagnosis – therapy start 685 (199; 1230)
Clinical parameter
  Hepatic tumor burden (%) 10 (5 ;40)
  CgA (ng/ml) 610 (119; 2093) 647 (261; 2357)
  Bilirubin (mg/dl) 0.6 (0.4; 0.8) 0.7 (0.6; 0.9)
  Grading
    1 1 (2.4%)
    2 32 (76.2%)
    3 6 (14.3%)
    NEC = 4 3 (7.1%)
Ki-67 primary tumor (%) 15 (8;20)
Localization primary tumor
    Pancreas 37 (84.1%)
    Lung 7 (15.9%)
MRI parameter
NELM
    Size (mm) 28 (19;36) 24.5 (18;38.5)
    T1 non-contrast/T1 liver 0.62 (0.53;0.68) 0.68 (0.56;0.75)
    T2/T2 liver 1.63 (1.16;2.07) 1.66 (1.21;2.17)
    ADCmin 448.5 (242.5;628.5) 549 (341;848)
    ADCmean 903 (708.5;1069.5) 969 (764;1250)
    ADCmin/ADCmin liver 0.80 (0.60;0.93) 0.85 (0.51;1.32)
    ADCmean/ADCmean liver 0.82 (0.74;0.96) 0.99 (0.65;1.32)
    % arterial vascularization 42.5 (15;80) 22.5 (5;74.5)**
PNET
    Size (mm) 43 (32;70) 43 (29.5;52)
    T1 non-contrast /T1 pancreas 0.63 (0.59;0.76) 0.68 (0.61;0.84)
    T2/T2 pancreas 1.38 (0.85;1.67) 1.08 (0.83;1.34)
    ADCmin 604.5 (237;648) 628 (499.5;758.5)
    ADCmean 985 (810;1150) 1042.5 (939;1167)
    ADCmin/ADCmin pancreas 0.69 (0.41;1.11) 0.73 (0.58;0.85)
    ADCmean/ADCmean pancreas 1.01 (0.78;1.19) 0.89 (0.72;0.97)
    % arterial vascularization 15 (10;80) 7 (5;45)

Differences in change of clinical and imaging tumor parameters between responder and non-responder

Change between baseline and follow-up (%) Non-responder (< 6 months PFS) N = 17 Responder (≥ 6 months PFS) N = 16 p-value
Clinical parameter
  CgA 61.2 (−8.3;251.9) −1.5 (−69.3;19) 0.036
  Bilirubin 0 (−20;40) 8.3 (−15.3;133.3) 0.312
MRI parameter
NELM
  Size (mm) 20 (−4.7;50) −8.0 (−20.1;2.2) 0.038
  T1 non-contrast/T1 liver 5.4 (−3.8;32.6) −6.8 (−13.6;11.2) 0.078
  T2/T2 liver 1.6 (−9.2;24.1) −5.7 (−26.2;32.8) 0.589
  ADCmin −22.8 (−41.1;40.2) 49.7 (−6.7;146.4) 0.037
  ADCmean −3.5 (−18.4;14.1) 11.7 (−3.4;75.4) 0.056
  ADCmin/ADCmin liver −32.3 (−46.2;70.8) 47.5 (12.7;251.7) 0.113
  ADCmean/ADCmean liver −16.3 (−30.6;6.9) 30.0 (6.9;90.4) 0.011
  % arterial vascularization −16.7 (−75; −5.9) −16.7 (−50.0;11.8) 0.298
PNET
  Size (mm) 2.3 (−5.4;20) −55 (−60; −17.8) 0.013
  T1 non-contrast /T1 pancreas 7.4 (−3.8;36.7) −5 (−19.7;1.9) 0.116
  T2/T2 pancreas −16.6 (−22;1.2) −36.1 (−40.3; −10.1) 0.229
  ADCmin 14.4 (−13.7;260.8) 18.7 (−33.2;48.9) 0.782
  ADCmean 8.3 (−4.5;29.3) 4.0 (−26.3;4.6) 0.405
  ADCmin/ADCmin pancreas −3.6 (−29;76.6) 53 (−18.4;80.9) 0.518
  ADCmean/ADCmean pancreas −23.2 (−35.5;4.5) −5.7 (−14.3;0.2) 0.518
  % arterial vascularization −50 (−80;0) −50 (−80;0) 0.851

Differences in baseline clinical and imaging tumor parameters between responder and non-responder

Non-responder (< 6 months PFS) N = 23 Responder (≥ 6 months PFS) N = 21 p-value
Age 57.8 (44.1;71.1) 61.7 (55.8;68.8) 0.953
Males 16 (69.6%) 17 (81.0%) 0.494
Time ID – Therapy start (d) 851 (426;1552) 396 (153;1004) 0.115
Clinical parameter
  Hepatic tumor burden (%) 5 (5;20) 20 (10;40) 0.007
  CgA 592 (116;2031) 616 (156.5;2745) 0.706
  Bilirubin 0.6 (0.4;0.8) 0.6 (0.3;0.9) 0.859
  Grading 0.234
    1 0 (0%) 1 (5%)
    2 15 (68.2%) 17 (85%)
    3 4 (18.2%) 2 (10%)
    NEC = 4 3 (13.6%) 0 (0%)
  Ki-67 primary tumor (%) 16.5 (10;30) 10.0 (5;15) 0.013
  Localization primary tumor 0.232
    Pancreas 21 (91.3%) 16 (76.2%)
    Lung 2 (8.7%) 5 (23.8%)
MRI parameter
NELM
    Size (mm) 25.5 (17;33.5) 29.8 (21.8;37.5) 0.348
    T1 non-contrast/T1 liver 0.60 (0.53;0.68) 0.64 (0.54;0.74) 0.263
    T2/T2 liver 1.62 (1.2;2.07) 1.69 (1.12;2.06) 0.903
    ADCmin 506 (228;639) 424 (243;606) 0.827
    ADCmean 852.5 (674;1059) 911 (790.5;1082.5) 0.495
    ADCmin/ADCmin liver 0.80 (0.63;0.93) 0.74 (0.51;1.03) 0.846
    ADCmean/ADCmean liver 0.82 (0.68;0.93) 0.86 (0.78;1.02) 0.342
    % arterial vascularization 45 (15;85) 36.3 (15;72.5) 0.494
PNET
    Size (mm) 38 (30;44) 75.5 (65;85.5) 0.024
    T1 non-contrast /T1 pancreas 0.60 (0.58;0.71) 0.71 (0.63;0.8) 0.258
    T2/T2 pancreas 1.38 (0.84;1.67) 1.38 (1.11;1.5) 0.777
    ADCmin 604.5 (237;648) 527 (316.5;698) 1.000
    ADCmean 893 (789;1055) 1084 (996.5;1256) 0.157
    ADCmin/ADCmin pancreas 0.79 (0.41;1.18) 0.63 (0.44;0.8) 0.480
    ADCmean/ADCmean pancreas 1.09 (0.66;1.31) 0.97 (0.96;1.1) 0.888
    % arterial vascularization 10 (5;70) 65 (30;85) 0.130
eISSN:
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Language:
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Journal Subjects:
Medicine, Clinical Medicine, Internal Medicine, Haematology, Oncology, Radiology