Literature DB >> 33552253

Predictive value of baseline 18F-FDG PET/CT and interim treatment response for the prognosis of patients with diffuse large B-cell lymphoma receiving R-CHOP chemotherapy.

Lili Zhu1,2, Yankai Meng3, Lili Guo2, Hanqing Zhao2, Yue Shi2, Shaodong Li3, Anming Wang2, Xiaojun Zhang2, Jing Shi2, Jie Zhu2, Kai Xu1,3.   

Abstract

The present study aimed to investigate the prognostic value of baseline 18F-FDG PET/CT quantitative parameters and interim treatment response, and to assess whether the combination of these could improve the predictive efficacy in patients with diffuse large B-cell lymphoma (DLBCL) receiving R-CHOP chemotherapy. PET/CT images and clinical data of 64 patients with DLBCL who had undergone 18F-FDG PET/CT scan before and after 3 or 4 cycles of R-CHOP chemotherapy were retrospectively reviewed. The quantitative parameters including standardized uptake value (SUV), metabolic tumor volume (MTV), total lesion glycolysis (TLG), and maximum diameter of the maximum lesion (Dmax) were measured on baseline PET/CT images. Cox proportional hazards model was used to evaluate the influence of baseline PET/CT parameters, clinical indicators and interim treatment response on prognosis. Survival analysis was performed using Kaplan-Meier method. Receiver operating characteristic (ROC) curve analysis was performed to estimate the predictive efficacy of the combination of baseline PET/CT parameters and interim treatment response. Ann Arbor stage, International Prognostic Index (IPI), lactate dehydrogenase (LDH), necrosis, MTVmax, TLGmax, Dmax and interim treatment response showed association with 2-year progression-free survival (PFS, P<0.05). LDH, necrosis, MTVmax, MTVsum, TLGmax, TLGsum, Dmax and interim treatment response showed association with 2-year overall survival (OS, P<0.05). Ann Arbor stage, Dmax and interim treatment response were found to be independent predictors of 2-year PFS (P<0.05), while Dmax and interim treatment response were found to be independent predictors of 2-year OS (P<0.05). The PFS and OS curves of Dmax <5.7 cm group and Dmax ≥5.7 cm group, complete response (CR) group and non-CR group were significantly different, respectively (P<0.05). The baseline 18F-FDG PET/CT parameters and interim treatment response have important prognostic values in DLBCL patients who received R-CHOP chemotherapy. Combined application of Dmax and interim treatment response improved the predictive efficacy of 2-year PFS. It may be helpful to identify patients who are at high-risk of relapse and to guide early clinical intervention of these patients. Copyright: © Zhu et al.

Entities:  

Keywords:  PET/CT imaging; R-CHOP chemotherapy; diffuse large B-cell lymphoma; disease prognosis; interim treatment response

Year:  2020        PMID: 33552253      PMCID: PMC7798034          DOI: 10.3892/ol.2020.12393

Source DB:  PubMed          Journal:  Oncol Lett        ISSN: 1792-1074            Impact factor:   2.967


Introduction

Diffuse large B-cell lymphoma (DLBCL) is a type of lymphoma with high heterogeneity in regards to immunophenotype, gene expression, morphology, clinical symptoms and prognosis (1). The International Prognostic Index (IPI) is the most commonly used prognostic index for predicting the outcome in clinics for patients with DLBCL. Prognostic evaluation and risk stratification are made by IPI based on 5 aspects, including age, Ann Arbor stage, lactate dehydrogenase (LDH) levels, physical condition score, and the number of extranodal organ involvement. However, DLBCL patients with the same IPI score might still have different outcomes after undergoing similar chemotherapy due to tumor heterogeneity. Furthermore, the prognostic value of an intermediate IPI score still remains to be unclear (2,3). With the introduction of rituximab into the first-line chemotherapy regimens (R-CHOP), the prognostic value of IPI still faced great challenges. Thus, more reliable prognostic indicators or evaluation models are urgently needed to identify patients who are more likely to relapse in clinical practice (4,5). Some scholars have carried out relevant basic research and proposed gene predictors such as cell origin, MYC and BCL2/BCL6 double expression, but their application value still requires further confirmation (6,7). According to previous studies, baseline 18F-FDG PET/CT parameters, such as metabolism of tumor volume (MTV) and total lesion glycolysis (TLG), could provide personalized information on metabolic activity and metabolic volume of the tumor, and have important prognostic value in patients with DLBCL (8,9). However, the results of these studies are not completely consistent, and this may be due to the distribution bias of enrolled cases, different threshold selection methods and standards for measurement of PET/CT parameters. Assessment of interim treatment response based on PET/CT has great prognostic value in DLBCL patients and it has been included in criteria for response assessment (10,11). Interim treatment response has attracted much clinical attention, but some patients with a good interim treatment response and negative interim PET/CT may still have recurrence and progression. Currently, there are relatively few studies that have discussed the prognostic value of the combination of baseline PET/CT quantitative parameters and interim treatment response in DLBCL patients (12,13). Hence, in the present study, the relationship between baseline PET/CT quantitative parameters, interim treatment response and prognostic survival of 64 patients with DLBCL receiving R-CHOP chemotherapy was analyzed, and the predictive efficacy of the combination of baseline PET/CT parameters and interim treatment response for survival was evaluated with the aim to guide the implementation of appropriate treatment and follow-up strategies for high-risk patients and to improve their long-term survival.

Patients and methods

Patient selection

The inclusion criteria were as follows: i) Patients with pathologically and immunohistochemically confirmed DLBCL after surgery or biopsy, ii) patients who received first-line R-CHOP (rituximab, cyclophosphamide, hydroxydaunomycin, oncovin and prednisone) chemotherapy, iii) patients who underwent 18F-FDG PET/CT scans before and after 3 or 4 cycles of R-CHOP chemotherapy, respectively, iv) patients no less than 18 years of age, and v) patients with complete clinical records. The exclusion criteria were as follows: i) Patients with primary central nervous system lymphoma, ii) patients with a history of malignancy or with other malignancies at present, iii) patients who received chemotherapy, radiotherapy or surgical resection before PET/CT scan prior to the study enrollment, iv) patients who dropped out during the treatment due to any reason, and v) patients with incomplete clinical records. Between July 2014 and December 2018, a total of 358 patients with DLBCL were admitted to our institution, and 294 patients of these were excluded, including those who did not receive rituximab treatment (n=67), did not undergo baseline and interim PET/CT scan (n=65), with primary central nervous system lymphoma (n=17), with a history of malignancy or with other malignancies at present (n=9), received other therapies before PET/CT scan (n=76), dropped out during the course of treatment or follow-up (n=29), or with incomplete clinical records (n=31). Finally, a total of 64 patients were enrolled in this study. Clinical data such as sex, age, B symptoms, Ann Arbor staging, IPI, LDH, β2-MG and immunohistochemical results were obtained according to the medical records. This study was approved by the Ethics Committee of the Affiliated Hospital of Xuzhou Medical University (XYFY2016-KL002-01), and patient informed consent was waived due to the retrospective nature of the present study.

PET/CT imaging

18F-FDG PET/CT image acquisition was performed with Discovery PET/CT Elite scanner (GE Healthcare). After fasting for at least 6 h, patients were intravenously injected with 18F-FDG (3.5 to 4.0 MBq/kg). The weight of the patients was obtained and the fasting blood glucose levels were controlled to less than 150 mg/dl before injection. Patients after injection were advised to rest for 1 h before initiating the PET/CT scan. Patients were placed in a supine position with quiet breathing. CT images were acquired from the skull vertex to proximal thigh initially and then the corresponding PET data were collected. CT data were used for attenuation correction and the standard protocol settings were as follows: 120 KV, 180 mA, slice thickness of 3.75 mm. PET scanning images were acquired in 7 to 8 bed positions and the acquisition time was 3 min per bed position. Image fusion was performed after reconstruction by iterative method.

PET/CT parameters

All PET/CT images were reconstructed and reviewed using Volume Viewer software on Workstation AW 4.5 (GE Healthcare) by two experienced radiologists and a nuclear medicine physician who were blinded to the clinical information. Visual assessment and semi-quantitative analysis were used for image analysis. Tumor contours covering the entire lesion volume in axial, coronal and sagittal images were delineated automatically or manually as and when necessary, and then the quantitative parameters such as maximum standardized uptake value (SUVmax), mean standardized uptake value (SUVmean), metabolic tumor volume of the maximum lesion (MTVmax), sum of the metabolic tumor volume (MTVsum), total lesion glycolysis of the maximum lesion (TLGmax), sum of total lesion glycolysis (TLGsum), maximum diameter of the maximum lesion (Dmax) were measured or calculated. MTV was measured with a threshold of 40% SUVmax. TLG was the product of MTV and SUVmean.

Interim treatment response evaluation

Response to 3 or 4 cycles of R-CHOP chemotherapy was assessed according to the Lugano criteria (11) and patients were categorized into four types: Complete remission (CR), partial remission (PR), stable disease (SD) and progressive disease (PD) as described here. CR: PET/CT-based response: Score 1, 2, or 3 with or without a residual mass on 5PS (1, no uptake above background; 2, uptake ≤ mediastinum; 3, uptake > mediastinum but ≤ liver; 4, uptake moderately > liver; 5, uptake markedly higher than liver and/or no new lesions; X, new areas of uptake unlikely to be related to lymphoma), no new lesions and no evidence of FDG-avid disease in marrow. PR: Score 4 or 5 with reduced uptake compared with baseline and residual mass(es) of any size, no new lesions, residual uptake higher than uptake in normal marrow but reduced compared with baseline. SD: Score 4 or 5 with no significant change in FDG uptake from baseline at interim or end of treatment, no new lesions, no change in marrow uptake from baseline. PD: Score 4 or 5 with an increase in intensity of uptake from baseline, new FDG-avid foci consistent with lymphoma rather than another etiology (eg. infection, inflammation), new or recurrent FDG-avid foci in marrow. In the present study, all patients were divided into two groups including CR group and non-CR group. Patients with CR were included in the CR group and patients with PR, SD or PD were included in the non-CR group.

Follow-up assessment

Follow-up was performed by conducting phone interview or reviewing of hospital records. Progression-free survival (PFS) was defined as the time from initial diagnosis until the first occurrence of disease recurrence, progression, death due to any cause or at the end of the follow-up period. Overall survival (OS) was defined as the time from initial diagnosis until death due to any cause or the end of follow-up period.

Statistical analysis

Non-normally distributed data are expressed as median (Q1 and Q3). Intraclass correlation coefficient (ICC) was used to assess interobserver consistency of PET/CT parameters. Cox proportional hazard models were used in the univariate and multivariate analyses. Survival curves were constructed using Kaplan-Meier method. Receiver operating characteristic (ROC) analysis was performed to evaluate the predictive efficacy of the indicators. A P-value of less than 0.05 was considered to be statistically significant. All statistical analyses were performed using SPSS software (version 21.0) (IBM Corp.).

Results

Patient characteristics

A total of 64 patients, including 33 men (51.6%) and 31 women (48.4%), were enrolled in this study. The median age at diagnosis was 57 years (range, 25–80 years). The clinical characteristics of the 64 patients with DLBCL are listed in Table I. Of the entire cohort, 39 (60.9%) patients achieved CR and 25 (39.1%) patients had non-CR after 3 or 4 cycles of R-CHOP chemotherapy. Follow-up time ranged from 6 to 62 months, and the median follow-up time was 25 months. Relapse and progression occurred in 23 patients, while 17 patients died within two years. The 2-year PFS rate and 2-year OS rate were 64.1 and 73.4%, respectively.
Table I.

Clinical characteristics of the 64 patients with DLBCL.

CharacteristicsNo. of patientsPercentage (%)
Sex
  Male3351.6
  Female3148.4
Age (years)
  ≤603453.1
  >603046.9
B symptoms
  Yes1726.6
  No4773.4
Ann Arbor stage
  I+II2234.4
  III+IV4265.6
IPI
  ≤24062.5
  >22437.5
LDH
  Normal3453.1
  Abnormal3046.9
β2-MG
  Normal3757.8
  Abnormal2742.2
Nln
  <21421.9
  ≥25078.1
Neo
  <24976.6
  ≥21523.4
BMI
  No5281.2
  Yes1218.8
Necrosis
  No4976.6
  Yes1523.4

DLBCL, diffuse large B-cell lymphoma; IPI, International Prognostic Index, LDH, lactate dehydrogenase; β2-MG, β2 microglobulin; Nln, number of lymph node area involvement; Neo, number of extranodal organ involvement; BMI, bone marrow involvement.

Interobserver agreement

Baseline PET/CT parameters were measured by two observers. Consistency test showed intraclass correlation coefficient (ICC) that ranged between 0.663 and 0.991, showing good agreement. ICC values are shown in Table SI and baseline PET/CT parameters of the patients are listed in Table SII.

Univariate analysis

The median SUVmax, SUVmean, MTVmax, MTVsum, TLGmax, TLGsum and Dmax of the entire population were 17.6, 10.6, 63.5 cm3, 132.6 cm3, 628.7 g, 1135.9 g and 5.7 cm, respectively. Of all the clinical indicators, baseline PET/CT parameters and interim treatment response evaluated, Ann Arbor stage, IPI, LDH, necrosis, MTVmax, TLGmax, Dmax and interim treatment response showed association with 2-year PFS (P<0.05). LDH, necrosis, MTVmax, MTVsum, TLGmax, TLGsum, Dmax and interim treatment response showed association with 2-year OS (P<0.05) (Tables II and III).
Table II.

Univariate analyses of the clinical characteristics for PFS and OS.

2-year PFS2-year OS


CharacteristicsRR95% CIP-valueRR95% CIP-value
Sex
  Male11
  Female0.4180.170–1.0280.0570.2740.090–0.8350.061
Age (years)
  ≤6011
  >600.5440.228–1.3000.1710.4390.163–1.1800.103
B symptoms
  Yes11
  No0.5130.214–1.2270.1340.4100.159–1.0620.066
Ann Arbor stage
  I+II11
  III+IV2.7541.013–7.4850.047[a]1.9270.686–5.4140.213
IPI score
  ≤211
  >22.5011.076–5.8160.033[a]2.3810.943–6.0120.066
LDH level
  Normal11
  Abnormal5.9261.986–17.6800.001[a]4.4951.469–13.7580.008[a]
β2-MG
  Normal11
  Abnormal1.2520.535–2.9300.6051.4690.579–3.7260.418
Nln
  <211
  ≥22.1390.723–6.3270.1702.3810.686–8.2560.172
Neo
  <211
  ≥22.1240.886–5.0920.0912.2020.850–5.7030.104
BMI
  No11
  Yes1.3070.442–3.8680.6290.9770.280–3.4010.970
Necrosis
  No11
  Yes3.5941.526–8.4650.003[a]4.0851.612–10.3560.003[a]

Statistically significant. PFS, progression-free survival; OS, overall survival; RR, relative risk; CI, confidence interval; IPI, International Prognostic Index; LDH, lactate dehydrogenase; β2-MG, β2 microglobulin; Nln, number of lymph node area involvement; Neo, number of extranodal organ involvement; BMI, bone marrow involvement.

Table III.

Univariate analyses of baseline PET/CT parameters and interim treatment response for PFS and OS.

2-year PFS2-year OS


VariablesRR95% CIP-valueRR95% CIP-value
SUVmax
  <17.611
  ≥17.61.5750.673–3.6900.2951.5310.591–3.9690.381
SUVmean
  <10.611
  ≥10.61.2080.522–2.7980.6591.5310.591–3.9690.381
MTVmax (cm3)
  <63.511
  ≥63.54.7161.722–12.9160.003[a]6.6831.924–23.2090.003[a]
MTVsum (cm3)
  <132.611
  ≥132.62.2670.946–5.4340.0673.5641.265–10.0430.016[a]
TLGmax (g)
  <628.711
  ≥628.74.7161.722–12.9160.003[a]6.4331.852–22.3500.003[a]
TLGsum (g)
  <1135.911
  ≥1135.92.0760.868–4.9680.1013.2671.159–9.2110.025[a]
Dmax (cm)
  <5.711
  ≥5.74.7161.722–12.9160.003[a]6.8951.982–23.9840.002[a]
Interim treatment response
  CR11
  Non-CR4.6421.699–11.6850.003[a]6.4961.855–21.1760.002[a]

Statistically significant. PFS, progression-free survival; OS, overall survival; RR, relative risk; CI, confidence interval; SUVmax, maximum standardized uptake value; SUVmean, mean standardized uptake value; MTVmax, metabolic tumor volume of the maximum lesion; MTVsum, sum of metabolic tumor volume; TLGmax, total lesion glycolysis of the maximum lesion; TLGsum, sum of total lesion glycolysis; Dmax, maximum diameter of the maximum lesion; CR, complete remission.

Multivariate analysis

The statistical significant indicators in univariate analysis were included in the multivariate analysis. Due to the close relationship between MTVmax and TLGmax, MTVsum and TLGsum, only TLGmax and TLGsum were included in multivariate analysis. Ann Arbor stage, Dmax and interim treatment response were considered as independent prognostic factors for 2-year PFS (P<0.05). Dmax and interim treatment response were shown to be independent prognostic factors for 2-year OS (P<0.05) (Table IV).
Table IV.

Multivariate analyses of clinical characteristics, baseline PET/CT parameters and interim treatment response for PFS and OS.

2-year PFS2-year OS


VariablesRR95% CIP-valueRR95% CIP-value
Ann Arbor stage2.4150.836–6.9760.043
Dmax2.8540.946–8.6090.0364.0161.103–14.6290.035
Interim treatment response11.4373.594–36.397<0.0017.6192.092–27.7420.002

PFS, progression-free survival; OS, overall survival; RR, relative risk; CI, confidence interval; Dmax, maximum diameter of the maximum lesion.

Survival curves

Kaplan-Meier survival curves showed that PFS and OS curves of the Dmax ≥5.7 cm group were shown to be significantly lower than that of the Dmax <5.7 cm group, respectively. The 2-year PFS rate of the Dmax <5.7 cm group and Dmax ≥5.7 cm group were 88.8 and 49.5%, respectively (P<0.001). The 2-year OS rate of the Dmax <5.7 cm group and Dmax ≥5.7 cm group were 89.5 and 51.1%, respectively (P<0.001) (Figs. 1 and 2).
Figure 1.

Kaplan-Meier survival analysis of PFS according to Dmax. PFS, progression-free survival; Dmax, maximum diameter of the maximum lesion.

Figure 2.

Kaplan-Meier survival analysis of OS according to Dmax. OS, overall survival; Dmax, maximum diameter of the maximum lesion.

The PFS and OS curves of the non-CR group were significantly lower than that of CR group, respectively. The 2-year PFS rate of the CR group and non-CR group were 87.6 and 23.7%, respectively (P<0.001). The 2-year OS rate of the CR group and non-CR group were 89.9 and 31.7%, respectively (P<0.001) (Figs. 3 and 4).
Figure 3.

Kaplan-Meier survival analysis of PFS according to interim treatment response. PFS, progression-free survival; CR, complete response.

Figure 4.

Kaplan-Meier survival analysis of OS according to interim treatment response. OS, overall survival; CR, complete response.

Prognostic value of the combination of two factors

The AUC, sensitivity and specificity of the combination of Dmax and interim treatment response for predicting the 2-year PFS were 0.801, 73.9 and 92.7%, respectively. Compared with single index Dmax, the predictive performance of the combination was found to be slightly improved, the specificity was significantly increased, while the sensitivity was slightly decreased (Fig. 5). The AUC, sensitivity and specificity of the combination of Dmax and interim treatment response for predicting the 2-year OS were found to be 0.689, 76.5 and 76.6%, respectively. Compared with single index Dmax, the predictive performance of the combination was decreased, the specificity was slightly improved, and the sensitivity was decreased (Fig. 6).
Figure 5.

ROC curves of baseline Dmax and the combination of baseline Dmax and interim treatment response for prediction of 2-year PFS. ROC, receiver operating characteristic; Dmax, maximum diameter of the maximum lesion; PFS, progression-free survival; CR, complete response.

Figure 6.

ROC curves of baseline Dmax and the combination of baseline Dmax and interim treatment response for prediction 2-year OS. ROC, receiver operating characteristic; Dmax, maximum diameter of the maximum lesion; CR, complete response; OS, overall survival.

Discussion

The prognostic factors associated with diffuse large B-cell lymphoma (DLBCL) patients receiving R-CHOP chemotherapy have been the main research focus of both domestic as well as foreign scholars. It is crucial to identify the patients who are at high-risk of relapse and to select proper treatment strategies for them. The International Prognostic Index (IPI), Revised R-IPI and an Enhanced International Prognostic Index (NCCN-IPI) are currently the internationally recognized prognostic indicators (14,15), and are widely used in risk stratification before treatment, but their prognostic value is challenged to some extent in the rituximab treatment era. The present study confirmed the correlation between IPI and 2-year progression-free survival (PFS) and overall survival (OS) in DLBCL patients receiving R-CHOP chemotherapy, while multivariate analysis showed that IPI is not an independent predictor. This is similar to the results obtained by Kwon et al (16). Clinical studies have also revealed that although IPI can accurately evaluate the prognosis in most of the patients with DLBCL, a part of patients with similar IPI score still have different rates of long-term survival (3,14). Therefore, individual characteristics and response to chemotherapy of each patient are regarded as the best indicators of prognosis. Compared with IPI, baseline PET/CT parameters can assist in quantifying the invasion and burden of tumors of individuals, which may in turn be more advantageous in predicting the prognosis and guiding personalized treatment plans. Of all the baseline PET/CT parameters, Dmax was the only independent predictor of 2-year PFS and OS in this study. This result suggests that the tumor burden of the largest lesion acts as a more important prognostic factor than the gross tumor burden. This is similar to the result put forwarded by the previous clinical study by Parvez et al (17). This study further confirmed that patients with large masses usually have a poor prognosis. Compared with other PET/CT parameters such as MTV and TLG, Dmax can be easily obtained, and measurement of the largest lesion might be the simplest and most feasible method for predicting patient prognosis. In the present study, although MTV and TLG were not found to be independent predictors of 2-year PFS and OS, they were shown to be significantly associated with 2-year PFS and OS. This further confirmed the prognostic value of baseline PET/CT quantitative parameters. Kim et al (18) found TLG to be a better prognostic indicator than IPI in DLBCL patients. A study conducted by Esfahani et al (19) demonstrated that TLG of the baseline PET/CT is the only independent risk factor for PFS. Parvez et al (17) studied 82 patients with invasive B-cell lymphoma and found that MTV with SUV=3 or 6 as the threshold showed an association with OS. Song et al (20) also suggest that MTV is a prognostic factor for DLBCL. Although it is not completely consistent with the results of our study, all the findings discussed above indicate that baseline PET/CT quantitative parameters are valuable for prognostic prediction and can assist clinicians in identifying patients who are at high risk for recurrence before treatment initiation. Yet, a few scholars have come to a negative conclusion (21). Gallicchio et al (22) demonstrated that SUVmax is the most influential factor of event-free survival (EFS) in DLBCL patients, while MTV and TLG are not related with EFS. Adams et al (23) studied 73 DLBCL patients and found that MTV and TLG were not associated with disease prognosis. The main reason for this inconsistency might include distribution bias of the enrolled patients, different methods and standards of threshold selection for measurement and calculation of MTV and TLG, different chemotherapy regimens and different predictive cut-off time of survival. In the present study, relative threshold method of 40% SUVmax was adopted as the threshold to measure MTV. For patients with higher SUVmax, the absolute value of the threshold remained relatively high, which may in turn lead to underestimation of the actual tumor burden. Currently, there is no clear consensus as to which threshold selection method is the most appropriate and there are few literature data available on this (24). In this study, Dmax was found to act as an independent predictor of 2-year PFS and OS, while MTV and TLG did not. We speculated that this might be due to necrosis in the large masses in some patients. In these patients, no uptake of 18F-FDG was observed in necrosis, and MTV and TLG might underestimate the true tumor burden. In addition, there was no significant correlation between SUVmax, SUVmean and PFS, OS in our study, which is consistent with the results obtained by Manohar et al (25). This indicates that the tumor metabolism level is not the key factor that affects prognosis. According to the results of this study, DLBCL patients with high Dmax, MTV and TLG, even if the IPI score was low and might have poor survival prospects, intensive treatment was considered to improve their prognosis. Previous literature has reported that interim treatment response to first-line chemotherapy acts as an important prognostic factor in DLBCL patients. Patients with poor interim treatment response and positive interim PET are more likely to have recurrence and progression, and the prognosis generally remains worsened (26–29). Poor interim treatment response is an indication for early clinical intervention, including salvage treatment, intensive treatment or autologous stem cell transplantation (30). The present study showed that the risk of recurrence, progression and death within 2 years in the non-CR patients were significantly higher than that in CR patients, and interim treatment response acted as an independent predictor of 2-year PFS and OS. This result is similar to that obtained by previous studies. Huntington et al (31) also believed that patients with interim negative PET/CT or those who reached interim CR had longer PFS and OS. Pregno et al (32) found that patients with interim negative PET generally had a better prognosis, while interim positive PET indicated no greater risk of recurrence. Interim treatment response evaluation based on PET/CT is regarded as an important prognostic factor in DLBCL patients. The prognosis of patients who fail to respond to mid-term chemotherapy was found to remain poor, but there is no clear evidence that the prognostic value is better than IPI (33). In clinical practice, even patients with a good interim treatment response and interim negative PET may still have the potential to recur or progress to a later stage. Therefore, it is not sufficient to judge prognosis based solely on interim response to chemotherapy. In the present study, we combined the two risk factors, baseline PET/CT parameters and interim treatment response, in order to identify high-risk patients with poor prognosis, aiming to provide valuable information for early intervention. At present, there are few scholars who have evaluated the prognosis of DLBCL patients with the combination of baseline PET/CT metabolic parameters and interim treatment response, and relevant reports are rare and the indicators adopted are different (12,13,34). Mikhaeel et al (12) demonstrated improvement in the prognostic value of interim PET and screened out the population with poor prognosis by combining the baseline MTV and interim PET results. Zhang et al combined baseline TLG >1036.61 g and ΔSUVmax <86.02% to predict the recurrence or progression, showing good screening ability (13). Recently, Islam et al (8) found that baseline and interim PET/CT parameters of MTV show important predictive value for PFS, and could be helpful for guiding further treatment strategies in DLBCL patients. In the present study, baseline PET/CT parameter Dmax was screened through univariate and multivariate analyses. Compared with single indicator Dmax, the combination of Dmax and interim treatment response showed improved predictive efficiency for 2-year PFS, but showed no improvement in the predictive efficiency of 2-year OS. The limitations of this study mainly include four aspects. Firstly, the sample size of this study is relatively small and the results of this study require external verification in the future. Secondly, we directly selected the median PET/CT parameters as the cutoff value for classification of patients in this study. Thus, the correlation of other cutoff points of variables with survival need to be discussed. Thirdly, DLBCL subgroup analysis was not performed in this study. The survival outcomes of DLBCL patients in different molecular subtypes and gene expression warrant further investigation. Finally, the follow-up time of some cases was relatively short. Most of the positive events such as recurrence, progression or death occur within 2 years after diagnosis. Therefore, this study only conducted univariate and multivariate analysis of 2-year PFS and OS. In future, follow-up of these patients will be continued and 3- or 5-year survival analysis will be conducted to further explore the prognostic value of baseline PET/CT parameters. In conclusion, baseline 18F-FDG PET/CT parameters and interim treatment response have important prognostic value in DLBCL patients receiving R-CHOP chemotherapy. Combined application of Dmax and interim treatment response assists in improving the predictive efficacy of 2-year PFS. It may be helpful to identify patients who are at high risk of relapse and to guide early clinical intervention for these patients.
  34 in total

1.  Predictive value of F-18 FDG PET/CT quantization parameters for progression-free survival in patients with diffuse large B-cell lymphoma.

Authors:  Mixue Xie; Weihao Zhai; Shiyu Cheng; Hongdi Zhang; Yanhui Xie; Wei He
Journal:  Hematology       Date:  2015-07-17       Impact factor: 2.269

2.  Interim FDG PET/CT as a prognostic factor in diffuse large B-cell lymphoma.

Authors:  Silvia Fuertes; Xavier Setoain; Armando Lopez-Guillermo; Josep-Lluis Carrasco; Sonia Rodríguez; Jordina Rovira; Francesca Pons
Journal:  Eur J Nucl Med Mol Imaging       Date:  2013-01-23       Impact factor: 9.236

3.  Prognostic superiority of the National Comprehensive Cancer Network International Prognostic Index over pretreatment whole-body volumetric-metabolic FDG-PET/CT metrics in diffuse large B-cell lymphoma.

Authors:  Hugo J A Adams; John M H de Klerk; Rob Fijnheer; Ben G F Heggelman; Stefan V Dubois; Rutger A J Nievelstein; Thomas C Kwee
Journal:  Eur J Haematol       Date:  2015-03-13       Impact factor: 2.997

4.  Recommendations for initial evaluation, staging, and response assessment of Hodgkin and non-Hodgkin lymphoma: the Lugano classification.

Authors:  Bruce D Cheson; Richard I Fisher; Sally F Barrington; Franco Cavalli; Lawrence H Schwartz; Emanuele Zucca; T Andrew Lister
Journal:  J Clin Oncol       Date:  2014-09-20       Impact factor: 44.544

5.  The revised International Prognostic Index (R-IPI) is a better predictor of outcome than the standard IPI for patients with diffuse large B-cell lymphoma treated with R-CHOP.

Authors:  Laurie H Sehn; Brian Berry; Mukesh Chhanabhai; Catherine Fitzgerald; Karamjit Gill; Paul Hoskins; Richard Klasa; Kerry J Savage; Tamara Shenkier; Judy Sutherland; Randy D Gascoyne; Joseph M Connors
Journal:  Blood       Date:  2006-11-14       Impact factor: 22.113

6.  Molecular Profile and FDG-PET/CT Total Metabolic Tumor Volume Improve Risk Classification at Diagnosis for Patients with Diffuse Large B-Cell Lymphoma.

Authors:  Anne-Ségolène Cottereau; Hélène Lanic; Sylvain Mareschal; Michel Meignan; Pierre Vera; Hervé Tilly; Fabrice Jardin; Stéphanie Becker
Journal:  Clin Cancer Res       Date:  2016-03-02       Impact factor: 12.531

7.  Impact of induction regimen and stem cell transplantation on outcomes in double-hit lymphoma: a multicenter retrospective analysis.

Authors:  Adam M Petrich; Mitul Gandhi; Borko Jovanovic; Jorge J Castillo; Saurabh Rajguru; David T Yang; Khushboo A Shah; Jeremy D Whyman; Frederick Lansigan; Francisco J Hernandez-Ilizaliturri; Lisa X Lee; Stefan K Barta; Shruthi Melinamani; Reem Karmali; Camille Adeimy; Scott Smith; Neil Dalal; Chadi Nabhan; David Peace; Julie Vose; Andrew M Evens; Namrata Shah; Timothy S Fenske; Andrew D Zelenetz; Daniel J Landsburg; Christina Howlett; Anthony Mato; Michael Jaglal; Julio C Chavez; Judy P Tsai; Nishitha Reddy; Shaoying Li; Caitlin Handler; Christopher R Flowers; Jonathon B Cohen; Kristie A Blum; Kevin Song; Haowei Linda Sun; Oliver Press; Ryan Cassaday; Jesse Jaso; L Jeffrey Medeiros; Aliyah R Sohani; Jeremy S Abramson
Journal:  Blood       Date:  2014-08-26       Impact factor: 22.113

8.  An enhanced International Prognostic Index (NCCN-IPI) for patients with diffuse large B-cell lymphoma treated in the rituximab era.

Authors:  Zheng Zhou; Laurie H Sehn; Alfred W Rademaker; Leo I Gordon; Ann S Lacasce; Allison Crosby-Thompson; Ann Vanderplas; Andrew D Zelenetz; Gregory A Abel; Maria A Rodriguez; Auayporn Nademanee; Mark S Kaminski; Myron S Czuczman; Michael Millenson; Joyce Niland; Randy D Gascoyne; Joseph M Connors; Jonathan W Friedberg; Jane N Winter
Journal:  Blood       Date:  2013-11-21       Impact factor: 22.113

9.  Genetic and Functional Drivers of Diffuse Large B Cell Lymphoma.

Authors:  Anupama Reddy; Jenny Zhang; Nicholas S Davis; Andrea B Moffitt; Cassandra L Love; Alexander Waldrop; Sirpa Leppa; Annika Pasanen; Leo Meriranta; Marja-Liisa Karjalainen-Lindsberg; Peter Nørgaard; Mette Pedersen; Anne O Gang; Estrid Høgdall; Tayla B Heavican; Waseem Lone; Javeed Iqbal; Qiu Qin; Guojie Li; So Young Kim; Jane Healy; Kristy L Richards; Yuri Fedoriw; Leon Bernal-Mizrachi; Jean L Koff; Ashley D Staton; Christopher R Flowers; Ora Paltiel; Neta Goldschmidt; Maria Calaminici; Andrew Clear; John Gribben; Evelyn Nguyen; Magdalena B Czader; Sarah L Ondrejka; Angela Collie; Eric D Hsi; Eric Tse; Rex K H Au-Yeung; Yok-Lam Kwong; Gopesh Srivastava; William W L Choi; Andrew M Evens; Monika Pilichowska; Manju Sengar; Nishitha Reddy; Shaoying Li; Amy Chadburn; Leo I Gordon; Elaine S Jaffe; Shawn Levy; Rachel Rempel; Tiffany Tzeng; Lanie E Happ; Tushar Dave; Deepthi Rajagopalan; Jyotishka Datta; David B Dunson; Sandeep S Dave
Journal:  Cell       Date:  2017-10-05       Impact factor: 41.582

10.  Metabolic tumor volume changes assessed by interval 18fluorodeoxyglucose positron emission tomography-computed tomography for the prediction of complete response and survival in patients with diffuse large B-cell lymphoma.

Authors:  Luis F Oñate-Ocaña; Violeta Cortés; Rodrigo Castillo-Llanos; Andrea Terrazas; Osvaldo Garcia-Perez; Quetzalli Pitalúa-Cortes; Mayra Ponce; Alfonso Dueñas-Gonzalez; Myrna Candelaria
Journal:  Oncol Lett       Date:  2018-05-25       Impact factor: 2.967

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  2 in total

1.  The Effect of hsa-miR-451b Knockdown on Biological Functions of Gastric Cancer Stem-Like Cells.

Authors:  Diba Borzabadi Farahani; Hassan Akrami; Behrouz Moradi; Kiumars Mehdizadeh; Mohammad Reza Fattahi
Journal:  Biochem Genet       Date:  2021-03-16       Impact factor: 1.890

2.  LncRNA SNHG5 can Regulate the Proliferation and Migration of Diffuse Large B Cell Lymphoma Progression via Targeting miR-181-5p/XIAP.

Authors:  Xiaojing Xing; Tonghong Xu; Bin Liu; Qianxue Guo
Journal:  J Cancer       Date:  2022-01-01       Impact factor: 4.207

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