Open Access

The value of 18F‑FDG PET/CT in the prediction of clinical outcomes of patients with acute leukemia treated with allogeneic hematopoietic stem cell transplantation

  • Authors:
    • Zixuan Zhao
    • Yeye Zhou
    • Jing Wang
    • Tongtong Zhang
    • Jihui Li
    • Bin Zhang
    • Qingru Li
    • Shengming Deng
  • View Affiliations

  • Published online on: August 31, 2020     https://doi.org/10.3892/ol.2020.12036
  • Article Number: 175
  • Copyright: © Zhao et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

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Abstract

The present study aimed to determine whether 18F‑FDG PET/CT performed before and/or after allogeneic hematopoietic stem cell transplantation (allo‑HSCT) can predict clinical outcomes in acute leukemia (AL). A total of 79 examinations comprising 72 patients with AL who underwent 18F‑FDG PET/CT before and/or after allo‑HSCT were retrospectively enrolled between January 2011 and January 2019. Outcomes were assessed using overall survival (OS) and disease‑free survival (DFS). A total of 63 examinations were PET‑positive, while 16 examinations were PET‑negative. Increased BM and splenic 18F‑FDG uptake were observed in 24 (19/79) and 14% (11/79) of examinations, respectively. 18F‑FDG‑avid lymph nodes were observed in 38% (30/79) of examinations. ENEMES involvement was detected in 44% (35/79) of examinations. The presence of ENEMES involvement [OS hazard ratio (HR), 6.399; 95% confidence interval (CI), 1.843‑22.224; P=0.003; post‑HSCT OS: HR, 7.203; 95% CI, 1.510‑34.369; P=0.013; DFS HR, 3.671; 95% CI, 1.145‑11.768; P=0.029], post‑transplantation minimal residual disease (DFS HR, 4.381; 95% CI, 1.594‑12.040; P=0.004; pre‑HSCT OS HR, 11.455; 95% CI, 1.336‑98.179; P=0.026) and disease status (OS HR, 0.330; 95% CI, 0.128‑0.848; P=0.021; post‑HSCT OS HR, 0.195; 95% CI, 0.050‑0.762; P=0.019; DFS: HR, 0.278; 95% CI, 0.091‑0.851; P=0.025) could serve as an adverse prognostic factor in patients with AL treated with allo‑HSCT. 18F‑FDG PET/CT before and/or after allo‑HSCT was a predictor for OS and DFS in patients with AL. ENEMES involvement detected using 18F‑FDG PET/CT may help identify patients with AL who are likely to have unfavorable clinical outcomes.

Introduction

As a type of hematopoietic system disease, acute leukemia (AL) is characterized by the malignant transformation of hematopoietic stem and precursor cells within the bone marrow (BM) or thymus (1). AL primarily comprises of acute lymphoblastic (ALL), myeloblastic (AML), undifferentiated (AUL) and mixed-lineage leukemia (AMLL) (2). AL has become a global health concern due to its increasing incidence over the past decade (3). The worldwide incidence of AML has gradually increased from 63.84×103 cases in 1990 to 119.57×103 cases in 2017, showing an increase of 87.3% (4). The USA has diagnosed approximately 5,960 new cases of ALL and reported 1,470 ALL-associated mortalities in 2018 (5). To date, allogeneic hematopoietic stem cell transplantation (allo-HSCT) is the only potentially curative treatment for AL (6). However, allo-HSCT is associated with high-risk of non-relapse-associated mortality and disease relapse, which are causes of mortality of patients with AL who receive allo-HSCT treatment (7). It has been reported that the incidence of relapse and risk of non-relapse mortality of core binding factor AML are 19.8 and 22.5% for relapse and 20.9 and 23.3% for non-relapse mortality, respectively (8). Therefore, reliable prognostic factors are necessary to predict patient outcomes at the time of transplantation.

Positron emission tomography (PET)/CT using the radio-labeled glucose analog 18F-2′-deoxy-2′-fluorodeoxyglucose (18F-FDG) has been widely used for diagnosis, staging and prognosis prediction of malignant disease, including hematological malignancy (9,10). Although a number of studies concerning the prognostic value of 18F-FDG PET/CT in patients with multiple myeloma or lymphoma undergoing HSCT have been published (1113), the prognostic value of 18F-FDG PET/CT imaging in patients with AL has yet to be established. The present study aimed to determine whether 18F-FDG PET/CT performed before and/or after allo-HSCT could be used to predict clinical outcomes in AL.

Materials and methods

Ethical approval

The present retrospective study (trial registration no. ChiCTR1900024823) was approved by the Ethics Committee of the First Affiliated Hospital of Soochow University (Suzhou, China; approval no. 2019055), with a waiver of informed consent.

Patients

From January 2011 to January 2019, patients with AL who underwent 18F-FDG PET/CT before or after allo-HSCT were retrospectively enrolled in the present study. The following inclusion criteria were used: Histologically confirmed as AL and patients who underwent 18F-FDG PET/CT before or after allo-HSCT. The following exclusion criteria were used: i) Patients with lymphoma cell leukemia, ii) digital image data unavailable for retrospective analysis, iii) patients who received granulocyte colony-stimulating factor (G-CSF) therapy <1 month before PET/CT scan and iv) time interval between day 0 of allo-HSCT and PET/CT scan >12 months. Patients were followed-up for ≥4 months after allo-HSCT. Follow-up data were collected through clinic or over the phone, with an average follow-up of 25.2 months.

A total of 96 patients with AL were retrospectively reviewed in the present study. A total of 24 patients were excluded from the final analysis. Among these, 15 patients had lymphoma cell leukemia, three received G-CSF therapy <1 month before PET/CT scan and six underwent PET/CT scan >12 months before or after allo-HSCT. A total of 72 patients [21 female, 51 male; mean age ± standard deviation (SD), 31±13 years; range, 7–60 years] were retrospectively enrolled in the final analysis.

Risk stratification of patients with AML was primarily assessed according to European Leukemia Net (ELN) 2017 (14) and risk stratification of patients with ALL was primarily assessed according to the NCCN Guidelines (15). For patients with insufficient information for NCCN 2019 and ELN 2017, risk stratification was independently evaluated by two experienced hematologists, and results were recorded by consensus. According to NCCN 2019 Guidelines, ALL was divided into high-risk and low-risk, while AML was divided into high-risk, intermediate-risk and low-risk according to ELN 2017. Therefore, in order to better analyze risk stratification, low-risk and intermediate-risk patients with AML were combined as low-risk ones.

Image acquisition

18F-FDG PET/CT imaging was performed using a standard whole-body protocol as previously described (15). All patients were fasted for ≥6 h before 18F-FDG PET/CT examination. The baseline blood glucose level was <11 mmol/l. At 60 min after administration of 18F-FDG (dose, 0.12 mCi/kg), 18F-FDG PET/CT was performed using a Discovery STE PET/CT scanner (General Electric Medical Systems, Milwaukee, WI, USA). Transmission data were acquired via whole-body CT (140 kV; 120 mA; pitch, 1.75; transaxial FOV, 700 mm; slice thickness, 3.75 mm; rotation time, 0.8 sec). PET emission data in 3D-mode were analyzed from the vertex of the skull to the proximal thigh, with 2–3 min per bed position. Transverse PET slices were reconstructed using a standard iterative algorithm (ordered-subset expectation maximization), with low-dose CT data utilized for image fusion and attenuation correction, using the Xeleris workstation software (GE Healthcare; ADW4.1).

Image analysis

18F-FDG PET/CT images were independently evaluated by two experienced nuclear medicine physicians who were blinded to the clinical information of all subjects, and the results were recorded by consensus. Increased 18F-FDG uptake in the BM and spleen was defined as diffuse and/or focal 18F-FDG uptake ≥ normal liver (16,17). The region of interest located in the right lobe of the liver served as the reference. Diffuse or focal 18F-FDG uptake above the mediastinal blood pool or background uptake excluding infectious, inflammatory or other neoplastic diseases was considered as other PET-positive (18).

Statistical analysis

GraphPad Prism (version 5.0; GraphPad Software, Inc.) and SPSS software (version 19.0; IBM, Corp.) were used for statistical analysis. In order to assess the prognostic value of 18F-FDG PET/CT imaging, overall survival (OS) and disease-free survival (DFS) were selected as the endpoints. OS was defined as the period from the date of allo-HSCT to the date of death. DFS was defined as the period from the date of allo-HSCT to the date of relapse or death. OS and DFS were estimated via the Kaplan-Meier method, and differences among groups were evaluated by a log-rank test. The relation between factors associated with OS and DFS was estimated using the Kaplan-Meier method, and the log-rank test was used for univariate analysis. For multivariate analysis, risk factors with statistical significance upon univariate analysis were introduced into a Cox proportional hazards model. P<0.05 was considered to indicate a statistically significant difference.

Results

Characteristics of patients

A total of 72 patients (21 females, 51 males; mean age ± SD, 31±13 years; range, 7–60 years) were enrolled between January 2011 and January 2019. Of these 72 patients, 33 had ALL, 36 had AML and three had AMLL. In addition, 19 patients underwent 18F-FDG PET/CT before allo-HSCT, 46 underwent 18F-FDG PET/CT after allo-HSCT and seven underwent 18F-FDG PET/CT both before and after allo-HSCT. Therefore, 79 examinations of 72 patients were enrolled in the study. The median follow-up was 21 months. The white blood cell count at diagnosis was >20×109/l in 27 patients. The lactate dehydrogenase levels (>245 U/L) were high in 42 patients (19). Detailed characteristics of patients are presented in Table I.

Table I.

Patient characteristics.

Table I.

Patient characteristics.

CharacteristicsN
Age, years
  ≤2020
  >2052
  Mean ± standard deviation (range)a31±13 (7–60)
Sex
  Female21
  Male51
Acute leukemia type
  Lymphoblastic33
  Myeloblastic36
  Mixed-lineage3
De novo or secondary
  De novo69
  Secondary3
Before or after allogeneic hematopoietic stem cell transplantation
  Before19
  After46
  Before and after7
Median follow-up21 months
Lactate dehydrogenase
  High42
  Normal30
White blood cell count at diagnosis, ×109/l
  ≤2045
  >2027
Risk stratification
  Good20
  Poor49
  Unknown3
Disease status
  Complete remission54
  Non-remission18
Pre-transplantation MRD
  Positive43
  Negative18
Post-transplantation MRD
  Positive22
  Negative20

a Presented as mean ± standard deviation (range). MRD, minimal residual disease.

PET/CT results

A total of 63 examinations were 18F-FDG PET positive, whereas 16 examinations were 18F-FDG PET negative. Increased BM 18F-FDG uptake was observed in 24% (19/79) of examinations, including a homogeneous/diffuse pattern throughout the body in 13 examinations and an inhomogeneous/focal pattern or co-existing inhomogeneous/focal and homogeneous/diffuse patterns in six examinations. Increased splenic 18F-FDG uptake was detected in 14% (11/79) of examinations, including a homogeneous/diffuse pattern in 10 examinations and an inhomogeneous/focal pattern in one examination. 18F-FDG-avid lymph nodes were observed in 38% (30/79) of examinations, including lymph nodes >1.5 cm in eight examinations and lymph nodes ≤1.5 cm in 22 examinations. One patient with lymph nodes <1.5 cm in short axis demonstrated inflammation.

ENEMES involvement was detected by PET/CT in 44% (35/79) of examinations. The most common 18F-FDG-avid site was bone [16% (13/79) of examinations]. Other 18F-FDG-avid sites included nasopharynx (eight, including two inflammations), soft tissue (seven), lung (five, including three inflammations), breast (four), testes (three), brain (three, including one abscess), kidney, heart, skin, pleura, parotid gland, liver (two each), adrenal, uterus, eyelid and submandibular gland (one examination each).

Prognosis prediction of all PET/CT examinations

Univariate and multivariate Cox regression analysis of all 79 examinations was used to assess the effect of 18F-FDG PET/CT variables and clinical parameters on OS and DFS (Tables II and III). In univariate analysis, 18F-FDG-avid lymph nodes >1.5 cm, ENEMES involvement, disease status and post-transplantation minimal residual disease (MRD) were significantly associated with OS and DFS. However, only ENEMES involvement [hazard ratio (HR), 6.399; 95% CI, 1.843–22.224; P=0.003] and disease status (HR, 0.330; 95% CI, 0.128–0.848; P=0.021) were significantly associated with OS in multivariate analysis and only post-transplantation MRD was significantly associated with DFS (HR, 4.381; 95% CI, 1.594–12.040; P=0.004).

Table II.

Univariate and multivariate analysis of OS of all PET/CT examinations.

Table II.

Univariate and multivariate analysis of OS of all PET/CT examinations.

A, Univariate analysis

ParametersP-valueHazard ratio (95% CI)
Sex, Male vs. Female0.85240.9200 (0.3840–2.2070)
Age, >21 years0.57711.3620 (0.4600–4.0390)
Risk stratification0.16421.8720 (0.7740–4.5270)
White blood cell count, >20×109/l0.07722.1740 (0.9190–5.1420)
Elevated lactate dehydrogenase, >245 U/l0.50770.7590 (0.3350–1.7170)
Acute leukemia type0.16901.8250 (0.7740–4.3000)
PET-positive0.12342.0900 (0.8182–5.3370)
Increased BM 18F-FDG uptake0.44060.6850 (0.2620–1.7910)
Focal BM 18F-FDG uptake0.38401.2950 (0.0360–4.3590)
Increased splenic 18F-FDG uptake0.69550.8480 (0.3720–1.9340)
18F-FDG-avid lymph nodes >1.5 cm0.01402.8710 (1.0950–7.5290)
ENEMES involvement0.00034.5450 (2.0080–10.2900)
Disease status0.00090.1930 (0.0726–0.5100)
Pre-transplantation MRD0.17372.1150 (0.7188–6.2240)
Post-transplantation MRD 0.0017a4.5940 (1.7740–11.9000)

B, Multivariate analysis

ParametersP-valueHazard ratio (95% CI)

ENEMES involvement0.00306.3990 (1.8430–22.2240)
18F-FDG-avid lymph nodes >1.5 cm0.6620
Disease status0.02100.3300 (0.1280–0.8480)
Post-transplantation MRD0.1180

[i] PET, positron emission tomography; BM: Bone marrow; 18F-FDG, 18F-2′-deoxy-2′-fluorodeoxyglucose; ENEMES, extranodal, extramedullary and extrasplenic; MRD, minimal residual disease.

Table III.

Univariate and multivariate analysis of disease-free survival of all PET/CT examinations.

Table III.

Univariate and multivariate analysis of disease-free survival of all PET/CT examinations.

A, Univariate analysis

ParametersP-valueHazard ratio (95% CI)
Sex, Male vs. Female0.80310.900 (0.398–2.038)
Age, >21 years0.55371.339 (0.510–3.520)
Risk stratification0.91730.958 (0.423–2.166)
White blood cell count, >20×109/l0.49901.307 (0.602–2.840)
Elevated lactate dehydrogenase, >245 U/l0.23260.632 (0.297–1.343)
Acute leukemia type0.36591.426 (0.661–3.078)
PET-positive0.29501.621 (0.656–4.004)
Increased BM 18F-FDG uptake0.85460.920 (0.376–2.249)
Focal BM 18F-FDG uptake0.56201.567 (0.470–5.226)
Increased splenic 18F-FDG uptake0.29110.661 (0.306–1.426)
18F-FDG-avid lymph nodes >1.5 cm0.00803.743 (1.515–9.245)
ENEMES involvement0.00053.793 (1.782–8.071)
Disease status0.00910.285 (0.111–0.732)
Pre-transplantation MRD0.38191.489 (0.610–3.634)
Post-transplantation MRD0.00164.171 (1.722–10.100)

B, Multivariate analysis

ParametersP-valueHazard ratio (95% CI)

ENEMES involvement0.0950
18F-FDG-avid lymph nodes >1.5 cm0.2190
Disease status0.2340
Post-transplantation MRD0.0040a4.381 (1.594–12.040)

a P<0.05. PET, positron emission tomography; BM, bone marrow; 18F-FDG, 18F-2′-deoxy-2′-fluorodeoxyglucose; ENEMES: Extranodal, extramedullary and extrasplenic; MRD, minimal residual disease.

Kaplan-Meier analysis for OS of all 79 examinations showed that patients with negative ENEMES involvement and complete remission (CR) had a better OS compared with patients with non-remission (NR) and positive ENEMES involvement (Fig. 1A and C, respectively). The median OS was 28 months in patients with ENEMES involvement; patients without ENEMES involvement did not reach the median OS (P<0.001). The median OS was 24 months in patients with CR; patients with NR did not reach the median OS (P<0.001). Kaplan-Meier analysis demonstrated that patients with positive ENEMES involvement and NR exhibited a shorter DFS compared with patients with negative ENEMES involvement and CR (Fig. 1B and D, respectively). Kaplan-Meier analysis for OS showed that the patients with positive post-transplantation MRD had a shorter OS (median OS, 24 months) compared with patients in the negative post-transplantation MRD group (median OS, not reached; P<0.01; Fig. 1E). Kaplan-Meier analysis for DFS showed that patients with positive post-transplantation MRD had a shorter DFS (median DFS, 29 months) compared with the patients in the negative post-transplantation MRD group (median DFS, not reached; P<0.01; Fig. 1F).

Prognosis prediction of examinations after or before allo-HSCT

For 53 examinations after allo-HSCT, 18F-FDG-avid lymph nodes >1.5 cm (OS, P=0.010; DFS, P=0.014), ENEMES involvement (OS, P=0.0044; DFS, P=0.0002) (Fig. 2C and D, respectively), disease status (OS, P=0.008; DFS, P=0.467) (Fig. 2A and B respectively) and post-transplantation MRD (OS, P=0.046; DFS, P=0.034) were all univariately associated with OS and DFS (Tables IV and V). In multivariate analysis, ENEMES involvement (OS: HR, 7.203; 95% CI, 1.510–34.369; P=0.013; DFS: HR, 3.671; 95% CI; 1.145–11.768; P=0.029) and disease status (OS: HR, 0.195; 95% CI, 0.050–0.762; P=0.019; DFS: HR, 0.278; 95% CI, 0.091–0.851; P=0.025) were significantly associated with OS and DFS (Tables IV and V). For 26 examinations before allo-HSCT, univariate analysis showed that ENEMES involvement (P=0.0332), post-transplantation MRD (P=0.0036) and disease status (P=0.0217) were significantly associated with OS (Table VI). Multivariate Cox regression analysis showed that only post-transplantation MRD was significantly associated with OS (HR, 11.455; 95% CI, 1.336–98.179; P=0.026) (Table VI). Post-transplantation MRD was significantly associated with DFS (P=0.0065) (Table VII).

Table IV.

Univariate and multivariate analysis of OS after allo-HSCT.

Table IV.

Univariate and multivariate analysis of OS after allo-HSCT.

A, Univariate analysis.

ParametersP-valueHazard ratio (95% CI)
Sex, Male vs. Female0.44271.48400 (0.54190–4.06200)
Age, >21 years0.98611.013000 (0.22840–4.49700)
Risk stratification0.18321.95600 (0.72830–5.25600)
White blood cell count, >20×109/l0.10703.33000 (1.24000–8.94500)
Elevated lactate dehydrogenase, >245 U/l0.62050.79020 (0.31100–2.00700)
Acute leukemia type0.37110.65000 (0.25300–1.67100)
Increased bone marrow 18F-FDG uptake0.83030.81620 (0.12750–5.22700)
Increased splenic 18F-FDG uptake0.78930.87170 (0.31830–2.38700)
18F-FDG-avid lymph nodes >1.5 cm0.0100a0.11100 (0.02100–0.57500)
ENEMES involvement0.00443.87800 (1.52600–9.85400)
Disease status0.0080a0.20440 (0.06316–0.66130)
Pre-transplantation MRD0.07432.83200 (0.90290–8.88200)
Post-transplantation MRD0.04633.24300 (1.01900–10.32000)

B, Multivariate analysis

ParametersP-valueHazard ratio (95% CI)

ENEMES involvement0.01307.20300 (1.51000–34.36900)
18F-FDG-avid lymph nodes >1.5 cm0.8920
Disease status0.01900.19500 (0.05000–0.76200)

a P<0.05. MRD, minimal residual disease; PET: Positron emission tomography; 18F-FDG: 18F-2′-deoxy-2′-fluorodeoxyglucose; ENEMES: Extranodal, extramedullary and extrasplenic.

Table V.

Univariate and multivariate analysis of disease-free survival after allo-HSCT.

Table V.

Univariate and multivariate analysis of disease-free survival after allo-HSCT.

A, Univariate analysis

ParametersP-valueHazard ratio (95% CI)
Sex, Male vs. Female0.29811.6600 (0.6391–4.3110)
Age, >21 years0.92430.9405 (0.2654–3.3320)
Risk stratification0.89121.0650 (0.4308–2.6340)
White blood cell count, >20×109/l0.30431.5590 (0.6680–3.6400)
Elevated lactate dehydrogenase, >245 U/l0.15860.5393 (0.2286–1.2720)
Acute leukemia type0.43950.7129 (0.3023–1.6810)
Increased bone marrow 18F-FDG uptake0.23943.6020 (0.4259–30.4600)
Increased splenic 18F-FDG uptake0.41040.6315 (0.2114–1.8870)
18F-FDG-avid lymph nodes >1.5 cm0.01430.1980 (0.0560–0.7060)
ENEMES involvement0.00025.03700 (2.1550–11.7700)
Disease status0.04670.3375 (0.1157–0.9842)
Pre-transplantation MRD0.51181.4060 (0.5081–3.8890)
Post-transplantation MRD0.03353.0720 (1.0920–8.6460)

B, Multivariate analysis

ParametersP-valueHazard ratio (95% CI)

ENEMES involvement0.02903.6710 (1.1450–11.7680)
18F-FDG-avid lymph nodes >1.5 cm0.0630
Disease status0.02500.2780 (0.0910–0.8510)

[i] MRD, minimal residual disease; PET, positron emission tomography; 18F-FDG, 18F-2′-deoxy-2′-fluorodeoxyglucose; ENEMES, extranodal, extramedullary and extrasplenic.

Table VI.

Univariate and multivariate analysis of OS before allo-HSCT.

Table VI.

Univariate and multivariate analysis of OS before allo-HSCT.

A, Univariate analysis

ParametersP-valueHazard ratio (95% CI)
Sex, Male vs. Female0.081400.21240 (0.037180–1.21300)
Age, >21 years0.540901.77200 (0.28310–11.10000)
Risk stratification0.621501.71400 (0.25320–11.61000)
White blood cell count, >20×109/l0.721500.69950 (0.09806–4.99100)
Elevated lactate dehydrogenase, >245 U/l0.863000.86450 (0.16540–4.51900)
Acute leukemia type0.337703.16700 (0.29990–33.45000)
Increased bone marrow 18F-FDG uptake0.458100.52100 (0.09307–2.91600)
Increased splenic 18F-FDG uptake0.902601.12300 (0.17450–7.23000)
18F-FDG-avid lymph nodes >1.5 cm0.774500.31300 (0.01500–6.40900)
ENEMES involvement 0.03320a6.16500 (1.15600–32.88000)
Disease status 0.02170a0.11280 (0.01750–0.72740)
Pre-transplantation MRD0.626300.50040 (0.03083–8.12000)
Post-transplantation MRD 0.00360a14.58000 (2.40600–88.37000)

B, Multivariate analysis

ParametersP-valueHazard ratio (95% CI)

ENEMES involvement0.32900
Disease status0.69100
Post-transplantation MRD 0.02600a11.45500 (1.33600–98.17900)

a Statistically significant. MRD, minimal residual disease; PET, positron emission tomography; 18F-FDG: 18F-2′-deoxy-2′-fluorodeoxyglucose; ENEMES: Extranodal, extramedullary and extrasplenic.

Table VII.

Univariate analysis of disease-free survival before allo-HSCT.

Table VII.

Univariate analysis of disease-free survival before allo-HSCT.

ParametersP-valueHazard ratio (95% CI)
Sex, Male vs. Female0.31850.42490 (0.07905–2.28400)
Age, >21 years0.47281.90700 (0.32730–11.11000)
Risk stratification0.75560.75070 (0.12340–4.56700)
White blood cell count, >20×109/l0.17860.26510 (0.03831–1.83500)
Elevated lactate dehydrogenase, >245 U/l0.81260.82120 (0.16100–4.18700)
Acute leukemia type0.95031.06000 (0.17150–6.54600)
Increased BM 18F-FDG uptake0.81131.22500 (0.23190–6.46900)
Increased splenic 18F-FDG uptake0.83970.84530 (0.16590–4.30600)
18F-FDG-avid lymph nodes >1.5 cm0.11300.17000 (0.01400–2.09100)
ENEMES involvement0.68531.40400 (0.27180–7.25700)
Disease status0.06330.14470 (0.01882–1.11300)
Pre-transplantation MRD0.61461.63900 (0.23960–11.21000)
Post-transplantation MRD0.006515.91000 (2.17100–116.60000)

[i] MRD, minimal residual disease; BM, bone marrow; 18F-FDG, 18F-2′-deoxy-2′-fluorodeoxyglucose; ENEMES, extranodal, extramedullary and extrasplenic.

An example of diffuse homogeneous BM uptake and co-existence of focal and diffuse BM uptake is shown in Fig. 3. Fig. 4 presents an example of 18F-FDG PET/CT examinations with splenic and lymph node uptake. Figs. 5 and 6 present examples of 18F-FDG PET/CT examinations with ENEMES site uptake.

Discussion

18F-FDG PET/CT is not regularly used in the assessment of leukemia (20). However, a number of clinical studies and case reports have demonstrated the potential of 18F-FDG PET/CT in the diagnosis of leukemic bone marrow infiltration and extramedullary disease (EMD), evaluation of granulocytic sarcoma, detection of Richter's syndrome and assessment of graft vs. host disease (2123). The present study aimed to investigate the prognostic value of 18F-FDG PET/CT in patients with AL treated with allo-HSCT. Although increased 18F-FDG uptake by BM, spleen and lymph nodes was observed in patients with AL, none of these factors were independent predictors of OS. Only ENEMES involvement was significantly associated with OS.

Since AL is a hematological malignancy that originates from BM, increased BM uptake of 18F-FDG can be observed in patients with AL (24). However, increased BM 18F-FDG uptake can also be observed in benign etiologies and other types of malignant infiltration (25,26). Jeong et al (27), performed a meta-analysis to evaluate the prognostic value of 18F-FDG BM uptake in patients with a number of types of solid tumor and found that patients with a low level of 18F-FDG BM uptake have a longer OS compared with those with high levels of 18F-FDG BM uptake. Abe et al (28) demonstrated that patients with peripheral T cell lymphoma with BM involvement detected by PET/CT exhibited a significantly shorter OS compared with those without BM involvement, even among patients with negative BM histology. However, certain studies have drawn the opposite conclusion that high levels of 18F-FDG BM uptake have no impact on survival, which is consistent with the results of the present study (29,30). However, none of the aforementioned studies investigated patients with AL. Elevated 18F-FDG BM uptake in patients with AL may be different from that in other patients, because BM is the source of leukemic cells and the primary site of leukemia. Moreover, elevated 18F-FDG BM uptake may be associated with reactive myelopoiesis and inflammation, which occurs more frequently in patients with AL (31).

The spleen is a primary location of extramedullary AL (10). In numerous studies involving patients with a different types of cancer, splenic 18F-FDG uptake has been demonstrated to be an independent prognostic factor for predicting recurrence of cancer or OS (32,33). However, the present study demonstrated that elevated splenic 18F-FDG uptake had no impact on prognosis of patients with AL. It is well known that the spleen functions as a coordinator of immune response, a filter of the circulating blood, and a reservoir for circulating cells and platelets (34). Additionally, the spleen has several responsibilities, including hemoglobin degradation, hematopoiesis and iron recovery and plasma volume regulation (35). For patients with solid tumors, splenic metabolism primarily reflects the systemic inflammatory response to cancer (36). However, splenic metabolism on 18F-FDG PET/CT may represent the complex processes of hematopoiesis, which reflects both systemic inflammation and hematological imbalance (32).

There is debate concerning the prognostic significance of EMD in AL. A number of studies involving patients with AL have reported that EMD is an independent prognostic factor for OS (37,38), whereas other studies have demonstrated that EMD has no impact on prognosis (39,40). EMD in these studies was diagnosed by clinical examination. Since not all extramedullary sites are easily detectable, EMD may have been under-diagnosed. 18F-FDG PET/CT is a sensitive imaging modality for diagnosing EMD in AL (7,19). Kumar et al (41) compared 18F-FDG PET/CT and CT in terms of response and prognosis of patients with AML with EMD and found that PET/CT can identify more lesions and cases of metabolically progressive disease compared with CT alone, thus affecting management. In accordance with these results, the present study demonstrated that ENEMES involvement detected by 18F-FDG PET/CT could serve as an adverse prognostic factor of patients with AL before and/or after allo-HSCT.

There are a number of limitations in the present study. First, it was a retrospective study with a relatively small number of patients. Further prospective studies with larger sample size are necessary to confirm the findings of the present study. Second, the time interval between allo-HSCT and PET/CT scans was heterogeneous, ranging from 0–12 months. PET/CT scans before and after allo-HSCT were only performed in seven patients. Since 18F-FDG PET/CT is not regularly used in the assessment of leukemia, there are no conclusive data on the optimum interval between allo-HSCT and PET/CT scans. Moreover, the retrospective nature of the present study did not permit regulation of the time interval between allo-HSCT and PET/CT evaluation. Further multiple time point studies are required to identify the optimum time point for PET/CT scans. Finally, not all positive ENEMES lesions, particularly EMD in lymph nodes, were confirmed by histopathology.

The present data indicated that 18F-FDG PET/CT imaging serves a key prognostic role in the evaluation of patients with AL before and/or after allo-HSCT. ENEMES involvement detected by 18F-FDG PET/CT may identify patients with AL with an unfavorable outcome. Prospective clinical studies with larger cohorts are required to conclusively define the prognostic role of 18F-FDG PET/CT in patients with AL treated with allo-HSCT.

Acknowledgements

Not applicable.

Funding

The present study was supported by National Natural Science Foundation of China (grant no. 81601522), Medical Youth Talent Project of Jiangsu Province (grant no. QNRC2016749) and Suzhou People's Livelihood Science and Technology Project (grant no. SYS2019038).

Availability of data and materials

The datasets used and/or analyzed during the present study are available from the corresponding author upon reasonable request.

Authors' contributions

ZXZ, YYZ and SMD conceived the study and wrote and revised the manuscript. JW, TTZ and JHL reviewed, collected and analyzed the data. BZ, QRL and SMD designed the study and acquired the data. All authors contributed to the drafting of the manuscript. All authors read and approved the final manuscript.

Ethics approval and consent to participate

The present retrospective study (trial registration no. ChiCTR1900024823) was approved by the Ethics Committee of the First Affiliated Hospital of Soochow University (Suzhou, China; approval no. 2019055), with a waiver of informed consent.

Patient consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

References

1 

Gacha-Garay MJ, Niño-Joya AF, Bolaños NI, Abenoza L, Quintero G, Ibarra H, Gonzalez JM, Akle V and Garavito-Aguilar ZV: Pilot study of an integrative new tool for studying clinical outcome discrimination in acute leukemia. Front Oncol. 9:2452019. View Article : Google Scholar : PubMed/NCBI

2 

Takahashi K, Wang F, Morita K, Yan Y, Hu P, Zhao P, Zhar AA, Wu CJ, Gumbs C, Little L, et al: Integrative genomic analysis of adult mixed phenotype acute leukemia delineates lineage associated molecular subtypes. Nat Commun. 9:26702018. View Article : Google Scholar : PubMed/NCBI

3 

Lennmyr E, Karlsson K, Ahlberg L, Garelius H, Hulegårdh E, Izarra AS, Joelsson J, Kozlowski P, Moicean A, Tomaszewska-Toporska B, et al: Survival in adult acute lymphoblastic leukaemia (ALL): A report from the Swedish ALL registry. Eur J Haematol. 103:88–98. 2019. View Article : Google Scholar : PubMed/NCBI

4 

Yi M, Li A, Zhou L, Chu Q, Song Y and Wu K: The global burden and attributable risk factor analysis of acute myeloid leukemia in 195 countries and territories from 1990 to 2017: Estimates based on the global burden of disease study 2017. J Hematol Oncol. 13:722020. View Article : Google Scholar : PubMed/NCBI

5 

Malard F and Mohty M: Acute lymphoblastic leukaemia. Lancet. 395:1146–1162. 2020. View Article : Google Scholar : PubMed/NCBI

6 

Hangai M, Urayama KY, Tanaka J, Kato K, Nishiwaki S, Koh K, Noguchi M, Kato K, Yoshida N, Sato M, et al: Allogeneic stem cell transplantation for acute lymphoblastic leukemia in adolescents and young adults. Biol Blood Marrow Transplant. 25:1597–1602. 2019. View Article : Google Scholar : PubMed/NCBI

7 

Tan J, Wang Y, Yu SJ, Ma YY, Lei HY and Liu QF: Prognostic factors on graft-versus-host disease-free and relapse-free survival after allogeneic hematopoietic stem cell transplantation for adults with acute leukemia. Leuk Res. 59:1–7. 2017. View Article : Google Scholar : PubMed/NCBI

8 

Halaburda K, Labopin M, Mailhol A, Socié G, Craddock C, Aljurf M, Beelen D, Cornelissen JJ, Bourhis JH, Labussière-Wallet H, et al: Allogeneic stem cell transplantation in second complete remission for core binding factor acute myeloid leukemia: A study from the acute leukemia working party of the European society for blood and marrow transplantation. Haematologica. 105:1723–1730. 2020. View Article : Google Scholar : PubMed/NCBI

9 

Panebianco M, Bagni O, Cenfra N, Mecarocci S, Ortu La Barbera E, Filippi L, Codacci-Pisanelli G, Biondi T, Laghi A and Cimino G: Comparison of 18F FDG PET-CT AND CECT in pretreatment staging of adults with Hodgkin's lymphoma. Leuk Res. 76:48–52. 2019. View Article : Google Scholar : PubMed/NCBI

10 

Zhou WL, Wu HB, Wang LJ, Tian Y, Dong Y and Wang QS: Usefulness and pitfalls of F-18-FDG PET/CT for diagnosing extramedullary acute leukemia. Eur J Radiol. 85:205–210. 2016. View Article : Google Scholar : PubMed/NCBI

11 

Stolzenburg A, Lückerath K, Samnick S, Speer M, Kneer K, Schmid JS, Grigoleit GU, Hofmann S, Beer AJ, Bunjes D, et al: Prognostic value of [18F]FDG-PET/CT in multiple myeloma patients before and after allogeneic hematopoietic cell transplantation. Eur J Nucl Med Mol Imaging. 45:1694–1704. 2018. View Article : Google Scholar : PubMed/NCBI

12 

Qiao W, Zhao J, Wang C, Wang T and Xing Y: Predictive value of (18)F-FDG hybrid PET/CT for the clinical outcome in patients with non-Hodgkin's lymphoma prior to and after autologous stem cell transplantation. Hematology. 15:21–27. 2010. View Article : Google Scholar : PubMed/NCBI

13 

Magnusson E, Cao Q, Linden MA, Frolich J, Anand V, Burns LJ and Bachanova V: Hematopoietic cell transplantation for mantle cell lymphoma: Predictive value of pretransplant positron emission tomography/computed tomography and bone marrow evaluations for outcomes. Clin Lymphoma Myeloma Leuk. 14:114–121. 2014. View Article : Google Scholar : PubMed/NCBI

14 

Döhner H, Estey E, Grimwade D, Amadori S, Appelbaum FR, Büchner T, Dombret H, Ebert BL, Fenaux P, Larson RA, et al: Diagnosis and management of AML in adults: 2017 ELN recommendations from an international expert panel. Blood. 129:424–447. 2017. View Article : Google Scholar : PubMed/NCBI

15 

Brown PA, Wieduwilt M, Logan A, DeAngelo DJ, Wang ES, Fathi A, Cassaday RD, Litzow M, Advani A, Aoun P, et al: Guidelines insights: Acute lymphoblastic leukemia, version 1.2019. J Natl Compr Canc Netw. 17:414–423. 2019. View Article : Google Scholar : PubMed/NCBI

16 

Alam MS, Fu L, Ren YY, Wu HB, Wang QS, Han YJ, Zhou WL, Li HS and Wang Z: 18F-FDG super bone marrow uptake: A highly potent indicator for the malignant infiltration. Medicine (Baltimore). 95:e55792016. View Article : Google Scholar : PubMed/NCBI

17 

St-Pierre F, Broski SM, LaPlant BR, Ristow K, Maurer MJ, Macon WR, Habermann TM, Ansell SM, Thompson CA, Micallef INM, et al: Detection of extranodal and spleen involvement by FDG-PET imaging predicts adverse survival in untreated follicular lymphoma. Am J Hematol. 94:786–793. 2019.PubMed/NCBI

18 

Papajík T, Mysliveček M, Urbanová R, Buriánková E, Kapitáňová Z, Procházka V, Turcsányi P, Formánek R, Henzlová L, Flodr P, et al: 2-[18F]fluoro-2-deoxy-D-glucose positron emission tomography/computed tomography examination in patients with chronic lymphocytic leukemia may reveal richter transformation. Leuk Lymphoma. 55:314–319. 2014. View Article : Google Scholar : PubMed/NCBI

19 

Albano D, Mazzoletti A, Spallino M, Muzi C, Zilioli VR, Pagani C, Tucci A, Rossetti C, Giubbini R and Bertagna F: Prognostic role of baseline 18F-FDG PET/CT metabolic parameters in elderly HL: A two-center experience in 123 patients. Ann Hematol. 99:1321–1330. 2020. View Article : Google Scholar : PubMed/NCBI

20 

Valls L, Badve C, Avril S, Herrmann K, Faulhaber P, O'Donnell J and Avril N: FDG-PET imaging in hematological malignancies. Blood Rev. 30:317–331. 2016. View Article : Google Scholar : PubMed/NCBI

21 

Zhou M, Chen Y, Liu J and Huang G: A predicting model of bone marrow malignant infiltration in 18F-FDG PET/CT images with increased diffuse bone marrow FDG uptake. J Cancer. 9:1737–1744. 2018. View Article : Google Scholar : PubMed/NCBI

22 

Michallet AS, Sesques P, Rabe KG, Itti E, Tordot J, Tychyj-Pinel C, Baseggio L, Subtil F, Salles G, Dupuis JM and Conte MJ: An 18F-FDG-PET maximum standardized uptake value >10 represents a novel valid marker for discerning Richter's Syndrome. Leuk Lymphoma. 57:1474–1477. 2016. View Article : Google Scholar : PubMed/NCBI

23 

Stölzel F, Röllig C, Radke J, Mohr B, Platzbecker U, Bornhäuser M, Paulus T, Ehninger G, Zöphel K and Schaich M: 18F-FDG-PET/CT for detection of extramedullary acute myeloid leukemia. Haematologica. 96:1552–1556. 2011. View Article : Google Scholar : PubMed/NCBI

24 

Arslan F, Yilmaz M, Cakir T and Mert A: Significant contribution of Fluorodeoxyglucose positron emission tomography/computed tomography (FDG PET/CT) in a case of acute lymphoblastic leukemia presenting with fever of unknown origin. Intern Med. 53:789–791. 2014. View Article : Google Scholar : PubMed/NCBI

25 

Su K, Nakamoto Y, Nakatani K, Kurihara K, Hayakawa N and Togashi K: Diffuse homogeneous bone marrow uptake of FDG in patients with acute lymphoblastic leukemia. ClinNucl Med. 38:e33–e34. 2013.

26 

Derlin T, Alchalby H, Bannas P, Veldhoen S, Apostolova I, Triviai I, Bengel FM and Kröger N: Assessment of bone marrow inflammation in patients with myelofibrosis: An 18F-fluorodeoxyglucose PET/CT study. Eur J Nucl Med Mol Imaging. 42:696–705. 2015. View Article : Google Scholar : PubMed/NCBI

27 

Jeong SY, Kim SJ, Pak K, Lee SW, Ahn BC and Lee J: Prognostic value of 18F-fluorodeoxyglucose bone marrow uptake in patients with solid tumors: A meta-analysis. Medicine (Baltimore). 97:e128592018. View Article : Google Scholar : PubMed/NCBI

28 

Abe Y, Kitadate A, Usui Y, Narita K, Kobayashi H, Miura D, Takeuchi M, O'uchi E, O'uchi T and Matsue K: Diagnostic and prognostic value of using 18F-FDG PET/CT for the evaluation of bone marrow involvement in peripheral T-cell lymphoma. Clin Nucl Med. 44:e336–e341. 2019. View Article : Google Scholar : PubMed/NCBI

29 

Khan AB, Barrington SF, Mikhaeel NG, Hunt AA, Cameron L, Morris T and Carr R: PET-CT staging of DLBCL accurately identifies and provides new insight into the clinical significance of bone marrow involvement. Blood. 122:61–67. 2013. View Article : Google Scholar : PubMed/NCBI

30 

Hong J, Lee Y, Park Y, Kim SG, Hwang KH, Park SH, Jeong J, Kim KH, Ahn JY, Park S, et al: Role of FDG-PET/CT in detecting lymphomatous bone marrow involvement in patients with newly diagnosed diffuse large B-cell lymphoma. Ann Hematol. 91:687–695. 2012. View Article : Google Scholar : PubMed/NCBI

31 

Chen Y, Zhou M, Liu J and Huang G: Prognostic value of bone marrow FDG uptake pattern of PET/CT in newly diagnosed diffuse Large B-cell lymphoma. J Cancer. 9:1231–1238. 2018. View Article : Google Scholar : PubMed/NCBI

32 

Yoon HJ, Kim BS, Moon CM, Yoo J, Lee KE and Kim Y: Prognostic value of diffuse splenic FDG uptake on PET/CT in patients with gastric cancer. PLoS One. 13:e01961102018. View Article : Google Scholar : PubMed/NCBI

33 

Kim SY, Moon CM, Yoon HJ, Kim BS, Lim JY, Kim TO, Choe AR, Tae CH, Kim SE, Jung HK, et al: Diffuse splenic FDG uptake is predictive of clinical outcomes in patients with rectal cancer. Sci Rep. 9:13132019. View Article : Google Scholar : PubMed/NCBI

34 

Mebius RE and Kraal G: Structure and function of the spleen. Nat Rev Immunol. 5:606–616. 2005. View Article : Google Scholar : PubMed/NCBI

35 

Sharma Poudel B and Karki L: Abnormal hepatic function and splenomegaly on the newly diagnosed acute leukemia patients. JNMA J Nepal Med Assoc. 46:165–169. 2007.PubMed/NCBI

36 

Nam HY, Kim SJ, Kim IJ, Kim BS, Pak K and Kim K: The clinical implication and prediction of diffuse splenic FDG uptake during cancer surveillance. Clin Nucl Med. 35:759–763. 2010. View Article : Google Scholar : PubMed/NCBI

37 

Sakellari I, Gavriilaki E, Batsis I, Mallouri D, Gavriilaki M, Apostolou C, Iskas M, Voutiadou G, Bouziana S, Bousiou Z, et al: Isolated extramedullary relapse as a poor predictor of survival after allogeneic hematopoietic cell transplantation for acute leukemia. Biol Blood Marrow Transplant. 25:1756–1760. 2019. View Article : Google Scholar : PubMed/NCBI

38 

Støve HK, Sandahl JD, Abrahamsson J, Asdahl PH, Forestier E, Ha SY, Jahnukainen K, Jónsson ÓG, Lausen B, Palle J, et al: Extramedullary leukemia in children with acute myeloid leukemia: A population-based cohort study from the nordic society of pediatric hematology and oncology (NOPHO). Pediatr Blood Cancer. 64:2017. View Article : Google Scholar

39 

Kobayashi R, Tawa A, Hanada R, Horibe K, Tsuchida M and Tsukimoto I; Japanese childhood AML cooperative study group, : Extramedullary infiltration at diagnosis and prognosis in children with acute myelogenous leukemia. Pediatr Blood Cancer. 48:393–398. 2007. View Article : Google Scholar : PubMed/NCBI

40 

Bisschop MM, Révész T, Bierings M, van Weerden JF, van Wering ER, Hählen K and van der Does-van den Berg A: Extramedullary infiltrates at diagnosis have no prognostic significance in children with acute myeloid leukaemia. Leukemia. 15:46–49. 2001. View Article : Google Scholar : PubMed/NCBI

41 

Kumar R, Harish N, Sharma A, Gupta RK, Sharma A, Bakhshi S, Patel C, Thankarajan AS and Bal C: Comparison of FDG PET/CT and CT in response assessment and prognosis of patients with extra medullary disease in acute myeloid leukemia. J Nucl Med. 60 (Suppl 1):S12512019.

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November-2020
Volume 20 Issue 5

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Zhao Z, Zhou Y, Wang J, Zhang T, Li J, Zhang B, Li Q and Deng S: The value of <sup>18</sup>F‑FDG PET/CT in the prediction of clinical outcomes of patients with acute leukemia treated with allogeneic hematopoietic stem cell transplantation. Oncol Lett 20: 175, 2020.
APA
Zhao, Z., Zhou, Y., Wang, J., Zhang, T., Li, J., Zhang, B. ... Deng, S. (2020). The value of <sup>18</sup>F‑FDG PET/CT in the prediction of clinical outcomes of patients with acute leukemia treated with allogeneic hematopoietic stem cell transplantation. Oncology Letters, 20, 175. https://doi.org/10.3892/ol.2020.12036
MLA
Zhao, Z., Zhou, Y., Wang, J., Zhang, T., Li, J., Zhang, B., Li, Q., Deng, S."The value of <sup>18</sup>F‑FDG PET/CT in the prediction of clinical outcomes of patients with acute leukemia treated with allogeneic hematopoietic stem cell transplantation". Oncology Letters 20.5 (2020): 175.
Chicago
Zhao, Z., Zhou, Y., Wang, J., Zhang, T., Li, J., Zhang, B., Li, Q., Deng, S."The value of <sup>18</sup>F‑FDG PET/CT in the prediction of clinical outcomes of patients with acute leukemia treated with allogeneic hematopoietic stem cell transplantation". Oncology Letters 20, no. 5 (2020): 175. https://doi.org/10.3892/ol.2020.12036