Clinical pretreatment risk factors and prediction of outcome using gallium 67 scintigraphy in patients with Hodgkin's lymphoma

  • Authors:
    • Ignacio García Escobar
    • Ana López
    • Judit Rubio
    • David Pérez‑Callejo
    • Dolores Caballero Barrigón
    • Pilar Tamayo Alonso
    • Elena Almagro Casado
    • Mariano Provencio Pulla
  • View Affiliations

  • Published online on: November 9, 2015     https://doi.org/10.3892/mco.2015.670
  • Pages: 93-99
Metrics: Total Views: 0 (Spandidos Publications: | PMC Statistics: )
Total PDF Downloads: 0 (Spandidos Publications: | PMC Statistics: )


Abstract

This study was conducted to investigate the prognostic effect and implications of gallium 67 scintigraphy (gallium scan) at mid‑treatment and at the end of first‑line treatment in patients with early‑ and advanced‑stage Hodgkin's lymphoma (HL). A total of 216 HL patients were included in the study. Gallium scan was performed at mid‑treatment and at the end of first‑line treatment. The overall survival (OS) and event‑free survival (EFS) were calculated using the Kaplan‑Meier method. The log‑rank test was used to identify univariate predictors of EFS and OS. For early‑stage disease, bulky mediastinal involvement (yes vs. no, 98 vs. 79%, respectively; P=0.01), erythrocyte sedimentation rate (good vs. adverse, 98 vs. 88%, respectively; P=0.03), presence of B symptoms (no vs. yes, 94 vs. 78%, respectively; P=0.006), post‑chemotherapy disease status [complete response (CR) vs. unconfirmed CR (uCR) vs. partial response (PR) vs. progressive disease (PGR), 95 vs. 90 vs. 87 vs. 0%, respectively; P<0.01] and gallium scan at mid‑treatment and at the end of treatment (negative vs. positive, 88 vs. 20%, P<0.001; and 85 vs. 10%, P<0.001, respectively) significantly affected the EFS. In addition, age (<50 vs. ≥50 years, 96 vs. 78%, respectively; P=0.01), presence of B symptoms (no vs. yes, 97 vs. 87%, respectively; P=0.03), post‑chemotherapy disease status (CR vs. uCR vs. PR vs. PGR, 95 vs. 90 vs. 90 vs. 0%, respectively; P<0.01) and gallium scan results at mid‑treatment and at the end of treatment (negative vs. positive, 87 vs. 60%, P<0.001; and 95 vs. 0%, P<0.001, respectively) significantly affected the OS. For advanced‑stage disease, Hassenclever index (1-3 vs. 4-6, 80 vs. 57%, respectively; P=0.05) and gallium scan results at mid‑treatment and at the end of treatment (negative vs. positive, 84 vs. 18%, P<0.001; and 84 vs. 0%, P<0.001, respectively) significantly affected the EFS, whereas age at diagnosis (<50 vs. ≥50 years, 92 vs. 78%, respectively; P=0.04), Hassenclever index (1-3 vs. 4-6, 86 vs. 61%, respectively; P=0.04) and gallium scan results at mid‑treatment and at the end of treatment (negative vs. positive, 98 vs. 40%, P<0.001; and 97 vs. 23%, P<0.001, respectively) significantly affected the OS. On the multivariate analysis, gallium scan at the end of first‑line treatment retained statistical significance in terms of EFS and OS. In conclusion, post‑chemotherapy gallium scan is an important prognostic factor in patients with early‑ or advanced‑stage HL and a predictor of adverse outcome.

Introduction

The majority of the patients diagnosed with Hodgkin's lymphoma (HL) may be succesfully treated with radiotherapy (RT) or conventional-dose chemotherapy, with 70% remaining alive at 10 years following diagnosis (13).

For patients with relapsed and refractory HL, second-line chemotherapy followed by autologous stem cell transplantation (ASCT) and a non-myeloablative conditioning regimen followed by allogeneic transplantation are currently considered to be viable therapeutic options (4).

Clinical risk factors are an expression of disease sensitivity and may indicate the patient's ability to respond to treatment. There is a considerable amount of retrospective information available in this respect for patients with HL (510) and the response of lymphoma to chemotherapy is considered by several authors as one of the most significant factors (8,11,12). Functional imaging techniques, such as gallium 67 (67Ga) scintigraphy (gallium scan) or positron emission tomography (PET) with 2-(18F)-fluoro-2-deoxy-D-glucose, may be used to monitor the effect of treatment on lymphoma tissues (1316).

Strong evidence has been accumulating, indicating that assessment of response after 1 or 2 cycles of chemotherapy, or after the end of first-line therapy, particularly with metabolic imaging methods such as gallium scan and, more recently, with PET, may identify patients with poor prognosis, for whom early treatment intensification may be considered (1317). In this study, we present the results of a two-center retrospective study, in which we analyze the prognostic effect and implications of gallium scan at mid-treatment and at the end of first-line treatment in patients with early- and advanced-stage HL.

Patients and methods

Patient characteristics

This study included 216 HL patients who were treated between 1991 and 2004 at the University Hospital of Salamanca (Salamanca, Spain) and the Puerta de Hierro University Hospital (Madrid, Spain). The local Ethics Committees of the participating centers approved the study protocol, taking into consideration the existing regulations at that time. The patient characteristics are summarized in Table I. The patients included 117 (54.2%) men and 99 (45.8%) women, with a median age of 37 years (range, 11–80 years). All the patients had histological evidence of HL confirmed by hematopathologists at the treating hospital; 148 patients (68.5%) had nodular sclerosis, 53 (24.5%) mixed-cellularity and 7 (3.3%) lymphocyte-predominant types. A total of 79 patients (36.6%) presented with B sympthoms at diagnosis and 144 (67.0%) were diagnosed with stage I or II disease. As regards the extension of the lymphoma, 69.0% of the patients did not exhibit bulky disease, whereas only 35 patients (16.0%) exhibited extranodal disease.

Table I.

Clinical characteristics at diagnosis.

Table I.

Clinical characteristics at diagnosis.

CharacteristicsPatient no. (%) (n=216)
Age, years
  Median (range)     37 (11–80)
Gender
  Male117 (54.2)
  Female  99 (45.8)
Histological type
  Nodular sclerosis148 (68.5)
  Mixed-cellularity  53 (24.5)
  Lymphocyte-predominant  7 (3.3)
  Other  8 (3.7)
ECOG PS
  0, 1180 (84.0)
  2–5  36 (16.0)
B symptoms
  No  79 (36.6)
  Yes137 (63.4)
Ann Arbor stage
  I–II144 (67.0)
  III–IV  72 (33.0)
Bulky disease
  No149 (69.0)
  Yes  67 (31.0)
Bone marrow involvement
  No201 (93.0)
  Yes15 (7.0)
Extranodal disease
  No181 (84.0)
  Yes  35 (16.0)
Positive CT at diagnosis  216 (100.0)
Positive 67Ga scan at diagnosis  216 (100.0)

67 Ga, gallium 67; ECOG PS, Eastern Cooperative Oncology Group performance status; CT, computed tomography.

Treatment

The treatment details are described in Table II. Considering the 144 patients with early-stage disease who completed the induction therapy, 27 (18.7%) received RT alone, 82 (57.0%) 3 cycles of doxorubicin, bleomycin, vinblastine and dacarbazine (ABVD) followed by RT and 35 (24.3%) received mechlorethamine, vincristine, procarbazine and prednisone (MOPP) followed by RT. Among the 72 advanced-stage patients, 58 (80.6%) received 3–8 cycles of ABVD and 13 (18.0%) 6–8 cycles of MOPP and components of the ABVD regimen without dacarbazine (MOPP/ABV regimen). One patient received methotrexate, doxorubicin, cyclophosphamide, vincristine, prednisone and bleomycin (MACOP-B regimen). Finally, 55 patients (76.4%) received consolidation treatment with RT following chemotherapy.

Table II.

Induction treatment.

Table II.

Induction treatment.

First-line treatmentPatient no. (%)
Early stage (n=144)
  RT alone27 (18.7)
  ABVD × 2/3 + RT82 (57.0)
  MOPP × 2/3 + RT35 (24.3)
Advanced stage (n=72)
  ABVD × 6/858 (80.6)
  MOPP-ABV × 6/813 (18.0)
  MACOP-B1 (1.4)
  RT bulky55 (76.4)

[i] RT, radiotherapy; ABVD, doxorubicin, bleomycin, vinblastine and dacarbazine; MOPP, mechlorethamine, vincristine, procarbazine and prednisone; MACOP-B, methotrexate, doxorubicin, cyclophosphamide, vincristine, prednisone and bleomycin.

Restaging gallium

Patients were considered eligible for the study when they had a 67Ga-avid lymphoma established by a baseline gallium scan prior to treatment and a gallium scan for restaging performed midway through chemotherapy (114 patients, 52.7%) and/or at the end of the first-line treatment (204 patients, 94.4%). This cohort of patients were treated before PET was available at our institution; therefore, none of the patients underwent PET. Four patients (1.8%) underwent mid-chemotherapy gallium scan alone, 94 patients (43.5%) underwent end-first-line treatment gallium scan alone and 110 patients (51.0%) underwent both examinations. Apart from one, all patients with a positive restaging gallium scan at the end of treatment received additional chemotherapy or underwent high-dose therapy with stem-cell rescue.

Clinical response following chemotherapy

Clinical response following treatment was determined based on the computed tomography (CT) scan or physical examination findings at the end of chemotherapy or RT, using the guidelines developed by the International Workshop on Response Criteria for non-HL (18). A complete response (CR) was defined as negative physical examination and residual disease of ≤1 cm; an unconfirmed CR (uCR) was defined as >75% reduction in tumor volume, with residual disease of ≤2 cm; a partial response (PR) was defined as >50% reduction in tumor volume; stable disease was defined as <50% reduction in tumor volume; and progressive disease was defined as an increase in the size of initial disease or development of new foci. Relapsed disease was defined as further disease progression or appearance of new disease foci after a response had been achieved with the initial course of treatment.

67Ga imaging

For gallium scan studies, the patients received 7–10 mCi (259–370 MBq) intravenous injection of 67Ga citrate and imaging was performed at 72 h. Whole-body anterior and posterior planar images were acquired with a dual-head camera attached to a medium-energy collimator and 3 energy peaks of 93, 184 and 296 keV (20% window), using a 256×768 matrix and a scanning speed to achieve an information density of >1,500,000 counts for each view. In addition, single-photon emission CT (SPECT) of the chest, abdomen and pelvis was performed with the same camera at 3° intervals and 25 sec/stop using 64×64 matrix. Reconstruction of the SPECT data was performed using a low pass pre-filter (order 5.0, cut-off 0.31) and transverse reconstruction with a ramp filter. Attenuation correction was not applied and the files were reconstructed in transverse, sagittal and coronal planes. Additional delayed images were obtained in selected patients in whom the SPECT images failed to differentiate between normal and abnormal bowel activity. Nuclear medicine physicians did not have access to the CT images or results when evaluating the gallium scans. The gallium scan was considered positive for the presence of disease when abnormal focal or diffuse uptake of 67Ga was observed in a localization incompatible with normal structures and unexplained by other causes. Diffuse lung uptake (19) and bilateral perihilar uptake (20) were not considered to indicate the presence of lymphoma.

Statistical analysis

In order to identify the factors that affected outcome, the following clinical and biological characteristics were evaluated in univariate and multivariate analyses: Gender, age, Eastern Cooperative Oncology Group performance status, Ann Arbor stage, size of tumor, bulky disease, presence of B symptoms, bone marrow involvement, number of extranodal sites, erythrocyte sedimentation rate (ESR), lactate dehydrogenase, β2-microglobulin, copper and ceruloplasmin levels, number of leukocytes and lymphocytes and hemoglobin levels. Finally, CT and gallium scan results after 3 cycles of treatment and at the end of induction therapy were included.

Comparison of response rates was performed using the χ2 test. The patients were analyzed with respect to event-free survival (EFS) and overall survival (OS). OS was calculated from the day of diagnosis to the day of death or last follow-up. EFS was calculated from the day of diagnosis to the day of treatment failure (relapse, progression or no response to induction therapy). Probabilities were estimated using the Kaplan-Meier method. Differences between groups according to the different covariates were analyzed by the log-rank test. A forward stepwise Cox proportional hazards regression model was used for multivariate analysis. All the P-values reported were two-sided and P<0.05 was considered to indicate statistically significant differences.

Results

Follow-up and survival

The median follow-up time for the 216 patients was 107 months. The 5-year Kaplan-Meier OS and EFS estimates were 91 and 82%, respectively. The corresponding OS and EFS estimates for the 144 patients with stage I–II disease at diagnosis were 92 and 87%, respectively, whereas the corresponding OS and EFS for the 72 patients with stage III–IV disease were 86 and 77%, respectively.

Restaging gallium scan and clinical response following chemotherapy

The results of restaging gallium scanning are presented in Table III. Among the 114 patients who underwent a mid-chemotherapy gallium scan, 12 (10.5%) had a positive result. For the 204 patients who underwent a post-chemotherapy gallium scan, the results were positive in 10 (4.9%). Among the 110 patients who underwent both a mid- and a post-chemotherapy gallium scan, 5 patients (4.6%) had a positive scan midway through treatment and became negative after treatment; 2 patients (1.8%) had a negative gallium scan at mid-chemotherapy and became positive at the end of chemotherapy; and in 5 patients (4.6%), the results were positive in both mid- and post-chemotherapy gallium scans. The remaining 98 patients (89%), had negative results at both time points.

Table III.

Restaging gallium scan and clinical response following chemotherapy.

Table III.

Restaging gallium scan and clinical response following chemotherapy.

A, Gallium scan

Time pointPositive (%)Negative (%)
Mid-treatment (n=114)12 (10.5)102 (89.5)
End of treatment (n=204)10 (4.9)
Mid-end treament (n=110)aPositive to negative, 5 (4.6)Negative to positive, 2 (1.8)
Positive-positive, 5 (4.6)Negative-negative, 98 (89.0)

B, Clinical response to treatmentb

Type of response No. (%)

  CR/uCR 206 (94.0)
  PR   4 (2.0)
  PGR   6 (4.0)

a Conversion of gallium scan results during treatment: From positive at mid-treatment to negative at the end of first-line treatment; from negative to positive result after induction treatment; and those who maintained the same gallium scan results during the entire duration of the induction treatment.

b Clinical response based on computed tomograhy scan results and clinical examination findings. CR, complete response; uCR, unconfirmed CR; PR, partial response; PGR, progressive disease.

Based on the CT scan or physical examination findings, 206 patients (94%) achieved complete or uCR after first-line treatment, 4 patients (2%) had PR and 6 patients (4%) had progressive disease, without any patient achieving stable disease. All 10 patients with a positive gallium scan at the end of first-line treatment had progressive disease, 80% of whom succumbed due to disease progression and 20% were rescued with treatment. Of the 194 patients with negative gallium scan at the end of treatment, 23 (11.8%) suffered an event, whereas 141 of them exhibited CR (72.6%) and 53 uCR (27.3%).

Treatment outcome in patients with a positive restaging gallium scan

Of the 216 patients included in the series, 16 presented a positive gallium scan result and treatment was changed in 4 (25%) patients after 2 cycles of chemotherapy. The 4 patients were rescued with chemotherapy and ASCT. Another 3 patients (18.7%) continued with the first-line treatment despite the gallium scan findings at mid-treatment, with repeat positive results at the end of first-line treatment, and received rescue chemotherapy followed by TASPE. Of these 7 patients, 3 remained alive and disease-free at the last follow-up (2 of whom had positive gallium scan results at the end of first-line treatment). The remaining 4 patients succumbed to progressive lymphoma. Of the 9 patients with positive gallium scans and without change of treatment, 6 patients succumbed, 2 of whom due to secondary neoplasms. Of the remaining 3 cases, 1 should be considered a false-positive result secondary to RT, the second patient suffered a late relapse and remained lymphoma-free following conventional rescue treatment plus consolidation with RT, whereas the third patient became negative (after a mid-treatment positive result) following 4 more chemotherapy cycles and consolidation RT of bulky mediastinal disease, and remained disease-free at the last follow-up.

Univariate analysis of stage I–II patients. The significant variables in the univariate analysis are listed in Table IV. For stages I–II, the analysis was restricted to 144 patients. The variables included in the analysis were gender, age at diagnosis, bulky mediastinal involvement, B symptoms, ESR, post-chemotherapy status, and gallium scan at mid-treatment and at the end of first-line treatment.

Table IV.

Univariate analysis of prognostic factors.

Table IV.

Univariate analysis of prognostic factors.

Prognostic factorsPatient no.Cumulative EFS (%)P-valueCumulative OS (%)P-value
Stages I–II (n=144)
  Post-chemotherapy status   <0.001   <0.001
    Complete response11795 95
    Unconfirmed complete response  2090 90
    Partial response     487 90
    Progressive disease     3  0   0
  Age at diagnosis, years 0.9   0.01
    <5012886 96
    ≥50  1688 78
  Gender 0.9 0.9
    Male  7186 92
    Female  7385 94
  Bulky involvement   0.01   0.07
    Yes  5298 90
    No  9279 93
  B symptoms     0.006   0.03
    Yes  4978 87
    No  9594 97
  Erythrocyte sedimentation rate   0.03 0.6
    Good  8498 94
  Adversea  6088 92
  Mid-treatment gallium scan   <0.001   <0.001
    Negative  6788 87
    Positive     520 60
  End-treatment gallium scan   <0.001   <0.001
    Negative13685 95
    Positive     210   0
Stages III–IV (n=72)
  Gender 0.3   0.07
    Male  4679 82
    Female  2675 80
  Age at diagnosis, years 0.4   0.04
    <50  5282 92
    ≥50  2076 78
  Hassenclever indexb   0.05   0.04
    1–3  5780 86
    4–6  1557 61
  Mid-treatment gallium scan   <0.001   <0.001
    Negative  3584 98
    Positive     718 40
  End-treatment gallium scan   <0.001   <0.001
    Negative  5984 97
    Positive     7  0 23

a >50 without B symptoms or >30 with B symptoms.

b Hassenclever index classified in two groups according to prognosis. EFS, event-free survival; OS, overall survival; P-values in bold print denote statistically significant differences.

The factors found to significantly affect the EFS were bulky mediastinal involvement (yes vs. no, 98 vs. 79%, respectively; P=0.01), ESR [good vs. adverse (>50 without or >30 with B symptoms), 98 vs. 88%, respectively; P=0.03], presence of B symptoms (no vs. yes, 94 vs. 78%, respectively; P=0.006), post-chemotherapy disease status (CR vs. uCR vs. PR vs. PGR, 95 vs. 90 vs. 87 vs. 0%, respectively; P<0.01) and gallium scan results at mid-treatment and at the end of treatment (negative vs. positive, 88 vs. 20%, P<0.001; and 85 vs. 10%, P<0.001, respectively). As regards OS, the factors with statistical significance included age (<50 vs. ≥50 years, 96 vs. 78%, respectively; P=0.01), presence of B symptoms (no vs. yes, 97 vs. 87%, respectively; P=0.03), post-chemotherapy disease status (CR vs. uCR vs. PR vs. PGR, 95 vs. 90 vs. 90 vs. 0%, respectively; P<0.01) and gallium scan results at mid-treatment and at the end of treatment (negative vs. positive, 87 vs. 60%, P<0.001; and 95 vs. 0%, P<0.001, respectively).

Univariate analysis of stage III–IV patients

For stage III–IV disease, the analysis was restricted to 72 patients and the results are listed in Table IV. The variables included in the analysis were gender, age at diagnosis, Hassenclever index classified into two groups according to risk (1–3 vs. 4–6), and gallium scan at mid-treatment and at the end of first-line treatment.

The factors found to significantly affect the EFS were Hassenclever index (1–3 vs. 4–6, 80 vs. 57%, respectively; P=0.05) and gallium scan results at mid-treatment and at the end of treatment (negative vs. positive, 84 vs. 18%, P<0.001; and 84 vs. 0%, P<0.001, respectively). Age at diagnosis (<50 vs. ≥50 years, 92 vs. 78%, respectively; P=0.04), Hassenclever index (1–3 vs. 4–6, 86 vs. 61%, respectively; P=0.04) and gallium scan results at mid-treatment and at the end of treatment (negative vs. positive, 98 vs. 40%, P<0.001; and 97 vs. 23%, P<0.001, respectively) were the factors significantly affecting OS.

Multivariate analysis

Considering patients with stage I–II disease, only gallium scan results at the end of first-line treatment retained statistical significance in the Cox regression model [P<0.001, hazard ratio (HR)=2.1 and 95% confidence interval (CI): 1.91–7.9 for EFS; and P=0.03, HR=1.9 and 95% CI: 1.08–5.8 for OS]. Similarly, when considering stage III–IV patients, gallium scan at the end of treatment retained statistical significance (P=0.028, HR=3 and 95% CI: 1.07–3.4 for EFS; and P=0.003, HR=4 and 95% CI: 1.45–6.07 for OS) (data not shown).

Survival analysis

A total of 22 patients had succumbed to the disease at the time of the analysis. Of these, 9 patients succumbed to progressive HL, 7 secondary to infectious complications (3 of whom were under treatment with high-dose chemotherapy and stem cell transplantation), and 1 patient secondary to the bleomycin pulmonary toxicity. The remaining 5 patients developed secondary neoplasms (4 solid tumors and 1 myelodysplastic syndrome with a high-grade International Prognostic Scoring System score).

Discussion

This study reports the results of gallium scan and other prognostic factors in 216 patients with stage I–IV Hodgkin's disease following first-line treatment with chemotherapy and/or RT. Long-term treatment efficacy and predictors of relapse were included in the analysis. The 91 and 82% 5-year OS and EFS were in concordance with previous reports (2123). A variety of patient, disease and laboratory factors have been shown to affect the outcome of HL patients. For patients with early-stage disease, age, extranodal involvment, bulky disease and ESR among others have been associated with long-term prognosis (2426); for advance-stage cases, Hassenclever index has been found to be the most significant predictor of outcome (2629).

A number of these prognostic indicators lost their prognostic significance in the context of combined modality therapy with higher disease control rates. CT has been considered the gold standard for restaging patients with lymphoma (30). Considering the common finding of persistent masses on CT scan, the assessment of response and, consequently, the disease status, often represent a problem among patients diagnosed with HL due to the difficulties in distinguishing fibrotic tissue from active disease (31). In addition to PET scan, which is a technique based on tumor metabolic rate to distinguish fibrotic tissue from residual masses (32,33), gallium scan has been successfully used for several years for this purpose in patients with HL following standard chemotherapy and prior to autologous hematopoietic transplantation (34,35).

In the present study, the most important predictor for EFS and OS was gallium scan results during and after chemotherapy. Considering a global analysis of prognostic factors, only gallium scan at the end of the first-line treatment retained statistical significance in the multivariate analysis. Other authors have reported similar results in this respect (3638), although there is significant heterogeneity in the series and the majority refer to high-grade lymphomas, particularly non-HL. Ng et al (39) reported similar results in HL series with the limitation of the univariate analysis to early stages, including patients treated with ABVD alone and with a high proportion of RT-treated patients. Our series analyzed both groups and several described prognostic factors for early and advanced stages; according with our results, gallium scan at the end of treatment should be considered to be the strongest prognostic factor.

Considering the presence of residual gallium scan avidity as an adverse predictor of outcome, the optimal therapeutic approach for this group of patients who do not achieve CR at mid-treatment or at the end of first-line treatment has not yet been clearly determined.

In conclusion, the results of the present study confirm the significance of functional imaging techniques in the prognostic evalution of patients with HL. Post-chemotherapy restaging gallium scan results were highly predictive of treatment outcome, with more statistically significant implications compared with other classic established prognostic factors in patients with early- or advanced-stage disease. Considering patients with positive results at mid- or end-treatment, high-dose therapy with stem cell rescue is a viable rescue therapy option for refractory patients, although not necessarily for all patients, considering the clinical and biological characteristics of this type of lymphoma; each case should be considered individually, taking into consideration disease response, extension and biological activity. However, futher studies are required to obtain more solid conclusions. In the PET era, gallium scan remains a viable option for the accurate prognostic characterization of this group of patients.

References

1 

Sureda A, Arranz R, Iriondo A, Carreras E, Lahuerta JJ, García-Conde J, Jarque I, Caballero MD, Ferrà C, López A, et al: Grupo Español de Linformas/Transplante Autólogo de Médula Osea Spanish Cooperative Group: Autologous stem-cell transplantation for Hodgkin's disease: Results and prognostic factors in 494 patients from the Grupo Español de Linfomas/Transplante Autólogo de Médula Osea Spanish Cooperative Group. J Clin Oncol. 19:1395–1404. 2001.PubMed/NCBI

2 

Longo DL, Young RC, Wesley M, Hubbard SM, Duffey PL, Jaffe ES and De Vita VT Jr: Twenty years of MOPP therapy for Hodgkin's disease. J Clin Oncol. 4:1295–1306. 1986.PubMed/NCBI

3 

Prosnitz LR, Farber LR, Kapp DS, Scott J, Bertino JR, Fischer JJ and Cadman EC: Combined modality therapy for advanced Hodgkin's disease: 15-year follow-up data. J Clin Oncol. 6:603–612. 1988.PubMed/NCBI

4 

Reece DE, Barnett MJ, Connors JM, Fairey RN, Fay JW, Greer JP, Herzig GP, Herzig RH, Klingemann HG, LeMaistre CF, et al: Intensive chemotherapy with cyclophosphamide, carmustine, and etoposide followed by autologous bone marrow transplantation for relapsed Hodgkin's disease. J Clin Oncol. 9:1871–1879. 1991.PubMed/NCBI

5 

Abrahamsen AF, Hannisdal E, Nome O, Holte H, Hager B, Langholm R and Kvaløy S: Clinical stage I and II Hodgkin's disease: Long-term results of therapy without laparotomy. Experience at one institution. Ann Oncol. 7:145–150. 1996. View Article : Google Scholar : PubMed/NCBI

6 

Hughes-Davies L, Tarbell NJ, Coleman CN, Silver B, Shulman LN, Linggood R, Canellos GP and Mauch PM: Stage IA-IIB Hodgkin's disease: Management and outcome of extensive thoracic involvement. Int J Radiat Oncol Biol Phys. 39:361–369. 1997. View Article : Google Scholar : PubMed/NCBI

7 

Vlachaki MT, Hagemeister FB, Fuller LM, Besa PC, Hess MA, Brown B, Cabanillas F and Cox JD: Long-term outcome of treatment for Ann Arbor Stage I Hodgkin's disease: Prognostic factors for survival and freedom from progression. Int J Radiat Oncol Biol Phys. 38:593–599. 1997. View Article : Google Scholar : PubMed/NCBI

8 

Smolewski P, Robak T, Krykowski E, Blasiñska-Morawiec M, Niewiadomska H, Pluzanska A, Chmielowska E and Zambrano O: Prognostic factors in Hodgkin's disease: Multivariate analysis of 327 patients from a single institution. Clin Cancer Res. 6:1150–1160. 2000.PubMed/NCBI

9 

Amini RM, Enblad G, Gustavsson A, Ekman T, Erlanson M, Haapaniemi E and Glimelius B: Treatment outcome in patients younger than 60 years with advanced stages (IIB-IV) of Hodgkin's disease: The Swedish National Health Care Programme experience. Eur J Haematol. 65:379–389. 2000. View Article : Google Scholar : PubMed/NCBI

10 

Zapatero A, López MA, Cerezo L, De Vidales CM, MarIn A and Pérez-Torrubia A: Stage I–III Hodgkin's disease: Outcome and pattern of failure following treatment with radiation therapy and chemotherapy in a modern era. Hematology. 7:43–50. 2002. View Article : Google Scholar : PubMed/NCBI

11 

Bonfante V, Santoro A, Viviani S, Devizzi L, Balzarotti M, Soncini F, Zanini M, Valagussa P and Bonadonna G: Outcome of patients with Hodgkin's disease failing after primary MOPP-ABVD. J Clin Oncol. 15:528–534. 1997.PubMed/NCBI

12 

Bessell EM, Bouliotis G, Armstrong S, Baddeley J, Haynes AP, O'Connor S, Nicholls-Elliott H and Bradley M: Long-term survival after treatment for Hodgkin's disease (1973–2002): Improved survival with successive 10-year cohorts. Br J Cancer. 107:531–536. 2012. View Article : Google Scholar : PubMed/NCBI

13 

Front D, Bar-Shalom R, Mor M, Haim N, Epelbaum R, Frenkel A, Gaitini D, Kolodny GM and Israel O: Hodgkin disease: Prediction of outcome with 67Ga scintigraphy after one cycle of chemotherapy. Radiology. 210:487–491. 1999. View Article : Google Scholar : PubMed/NCBI

14 

Cooper DL, Neumann RD and Caride VJ: A critical assessment of the prognostic value of gallium-67 scintigraphy in lymphoma. Nuclear Medicine Annual. Freeman L: (Philadelphia, PA). Lippincott Williams and Wilkins. 211–232. 2000.

15 

Delbeke D: Oncological applications of FDG PET imaging: Brain tumors, colorectal cancer, lymphoma and melanoma. J Nucl Med. 40:591–603. 1999.PubMed/NCBI

16 

Kobe C, Kuhnert G, Kahraman D, Haverkamp H, Eich HT, Franke M, Persigehl T, Klutmann S, Amthauer H, Bockisch A, et al: Assessment of tumor size reduction improves outcome prediction of positron emission tomography/computed tomography after chemotherapy in advanced-stage Hodgkin lymphoma. J Clin Oncol. 32:1776–1781. 2014. View Article : Google Scholar : PubMed/NCBI

17 

Iltis A, Eder V, Blasco H, Colombat P and Sénécal D: Decisional Early Interim 18F-fluoro-2-deoxy-D-glucose positron emission tomography after two cycles of chemotherapy in de novo Hodgkin lymphoma. Acta Haematol. 133:172–178. 2015. View Article : Google Scholar : PubMed/NCBI

18 

Cheson BD, Horning SJ, Coiffier B, Shipp MA, Fisher RI, Connors JM, Lister TA, Vose J, Grillo-López A, Hagenbeek A, et al: NCI Sponsored International Working Group: Report of an international workshop to standardize response criteria for non-Hodgkin's lymphomas (Review). J Clin Oncol. 17:12441999.PubMed/NCBI

19 

Bar-Shalom R, Israel O, Haim N, Leviov M, Epelbaum R, Frenkel A, Ben-Haim S, Kolodny GM and Front D: Diffuse lung uptake of Ga-67 after treatment of lymphoma: Is it of clinical importance? Radiology. 199:473–476. 1996. View Article : Google Scholar : PubMed/NCBI

20 

Even-Sapir E, Bar-Shalom R, Israel O, Frenkel A, Iosilevsky G, Haim N, Epelbaum R, Gaitini D, Kolodny GM and Front D: Single-photon emission computed tomography quantitation of gallium citrate uptake for the differentiation of lymphoma from benign hilar uptake. J Clin Oncol. 13:942–946. 1995.PubMed/NCBI

21 

Eghbali H, Bonichon F, David B, Rojouan J, Audebert AA, Blanc CM, Zittoun R, Hoerni B and Najman A: Pierre and Marie Curie Group (GPMC): Combination of ABVD and radiotherapy in early stages of Hodgkin's disease: Analysis of a series of 94 patients. Radiother Oncol. 18:127–136. 1990. View Article : Google Scholar : PubMed/NCBI

22 

André M, Brice P, Cazals D, Hennequin C, Fermé C, Kerneis Y, Rousselot P, Zini JM, Lepage E and Gisselbrecht C: Results of three courses of adriamycin, bleomycin, vindesine, and dacarbazine with subtotal nodal irradiation in 189 patients with nodal Hodgkin's disease (stage I, II and IIIA). Hematol Cell Ther. 39:59–65. 1997. View Article : Google Scholar : PubMed/NCBI

23 

Brusamolino E, Lunghi F, Orlandi E, Astori C, Passamonti F, Baraté C, Pagnucco G, Baio A, Franchini P, Lazzarino M, et al: Treatment of early-stage Hodgkin's disease with four cycles of ABVD followed by adjuvant radio-therapy: Analysis of efficacy and long-term toxicity. Haematologica. 85:1032–1039. 2000.PubMed/NCBI

24 

Specht L, Nordentoft AM, Cold S, Clausen NT and Nissen NI: Tumor burden as the most important prognostic factor in early stage Hodgkin's disease. Relations to other prognostic factors and implications for choice of treatment. Cancer. 61:1719–1727. 1988. View Article : Google Scholar : PubMed/NCBI

25 

Bonfante V, Santoro A, Viviani S, Zucali R, Devizzi L, Zanini M, Tesoro Tess JD, Valagussa P, Banfi A and Bonadonna G: Early stage Hodgkin's disease: Ten-year results of a non-randomised study with radiotherapy alone or combined with MOPP. Eur J Cancer. 29A:24–29. 1992.PubMed/NCBI

26 

Ansell SM: Hodgkin lymphoma: 2014 update on diagnosis, risk-stratification and management. Am J Hematol. 89:771–779. 2014. View Article : Google Scholar : PubMed/NCBI

27 

Ranson MR, Radford JA, Swindell R, Deakin DP, Wilkinson PM, Harris M, Johnson RJ and Crowther D: An analysis of prognostic factors in stage III and IV Hodgkin's disease treated at a single centre with MVPP. Ann Oncol. 2:423–429. 1991.PubMed/NCBI

28 

Fermé C, Bastion Y, Brice P, Lederlin P, Diviné M, Gabarre J, Assouline D, Ferrant A, Berger F and Lepage E: Prognosis of patients with advanced Hodgkin's disease: Evaluation of four prognostic models using 344 patients included in the Group d'Etudes des Lymphomes de l'Adulte Study. Cancer. 80:1124–1133. 1997. View Article : Google Scholar : PubMed/NCBI

29 

Hasenclever D and Diehl V: A prognostic score for advanced Hodgkin's disease. International Prognostic Factors Project on Advanced Hodgkin's Disease. N Engl J Med. 339:1506–1514. 1998. View Article : Google Scholar : PubMed/NCBI

30 

Vose JM, Bierman PJ, Anderson JR, Harrison KA, Dalrymple GV, Byar K, Kessinger A and Armitage JO: Single-photon emission computed tomography gallium imaging versus computed tomography: Predictive value in patients undergoing high-dose chemotherapy and autologous stem-cell transplantation for non-Hodgkin's lymphoma. J Clin Oncol. 14:2473–2479. 1996.PubMed/NCBI

31 

Front D, Israel O and Ben-Haim S: The dilema of a residual mass in treated lymphoma: The role of gallium-67 scintigraphy. Nuclear Medicine Annual. 1991.Freeman LM: (New York, NY). Raven Press. 211–220, 1991.

32 

Markova J, Kahraman D, Kobe C, Skopalova M, Mocikova H, Klaskova K, Dedeckova K, Eich HT, Böll B, Dietlein M, et al: Role of [18F]-fluoro-2-deoxy-D-glucose positron emission tomography in early and late therapy assessment of patients with advanced Hodgkin lymphoma treated with bleomycin, etoposide, adriamycin, cyclophosphamide, vincristine, procarbazine and prednisone. Leuk Lymphoma. 53:64–70. 2012. View Article : Google Scholar : PubMed/NCBI

33 

Mocikova H, Pytlik R, Markova J, Steinerova K, Kral Z, Belada D, Trnkova M, Trneny M, Koza V, Mayer J, et al: Pre-transplant positron emission tomography in patients with relapsed Hodgkin lymphoma. Leuk Lymphoma. 52:1668–1674. 2011. View Article : Google Scholar : PubMed/NCBI

34 

Ionescu I, Brice P, Simon D, Guermazi A, Leblanc T, Rousselot P, Gossot D, Meignin V, Gisselbrecht C and Rain JD: Restaging with gallium scan identifies chemosensitive patients and predicts survival of poor-prognosis mediastinal Hodgkin's disease patients. Med Oncol. 17:127–134. 2000. View Article : Google Scholar : PubMed/NCBI

35 

Escobar IG, Barrigón DC, Tamayo P, et al: Prognostic impact of pretransplantation computed tomography and gallium scans in patients with Hodgkin lymphoma with poor prognosis undergoing hematopoietic stem cell transplantation. Clin Lymphoma Myeloma. 7:217–25. 2006. View Article : Google Scholar : PubMed/NCBI

36 

Hagemeister FB, Purugganan R, Podoloff DA, Hess M, Rodriguez MA, McLaughlin P, Swan F Jr, Romaguera JE and Cabanillas F: The gallium scan predicts relapse in patients with Hodgkin's disease treated with combined modality therapy. Ann Oncol. 5(Suppl 2): 59–63. 1994. View Article : Google Scholar : PubMed/NCBI

37 

Delcambre C, Reman O, Henry-Amar M, Peny AM, Macro M, Cheze S, Génot JY, Tanguy A, Switsers O, Van HL, et al: Clinical relevance of gallium-67 scintigraphy in lymphoma before and after therapy. Eur J Nucl Med. 27:176–184. 2000. View Article : Google Scholar : PubMed/NCBI

38 

King SC, Reiman RJ and Prosnitz LR: Prognostic importance of restaging gallium scans following induction chemotherapy for advanced Hodgkin's disease. J Clin Oncol. 12:306–311. 1994.PubMed/NCBI

39 

Ng AK, Bernardo MV, Silver B, Van Den Abbeele A, Stevenson MA, Fisher DC and Mauch PM: Mid- and post-ABVD gallium scanning predicts for recurrence in early-stage Hodgkin's disease. Int J Radiat Oncol Biol Phys. 61:175–184. 2005. View Article : Google Scholar : PubMed/NCBI

Related Articles

Journal Cover

January-2016
Volume 4 Issue 1

Print ISSN: 2049-9450
Online ISSN:2049-9469

Sign up for eToc alerts

Recommend to Library

Copy and paste a formatted citation
x
Spandidos Publications style
Escobar IG, López A, Rubio J, Pérez‑Callejo D, Barrigón DC, Alonso PT, Casado EA and Pulla MP: Clinical pretreatment risk factors and prediction of outcome using gallium 67 scintigraphy in patients with Hodgkin's lymphoma. Mol Clin Oncol 4: 93-99, 2016
APA
Escobar, I.G., López, A., Rubio, J., Pérez‑Callejo, D., Barrigón, D.C., Alonso, P.T. ... Pulla, M.P. (2016). Clinical pretreatment risk factors and prediction of outcome using gallium 67 scintigraphy in patients with Hodgkin's lymphoma. Molecular and Clinical Oncology, 4, 93-99. https://doi.org/10.3892/mco.2015.670
MLA
Escobar, I. G., López, A., Rubio, J., Pérez‑Callejo, D., Barrigón, D. C., Alonso, P. T., Casado, E. A., Pulla, M. P."Clinical pretreatment risk factors and prediction of outcome using gallium 67 scintigraphy in patients with Hodgkin's lymphoma". Molecular and Clinical Oncology 4.1 (2016): 93-99.
Chicago
Escobar, I. G., López, A., Rubio, J., Pérez‑Callejo, D., Barrigón, D. C., Alonso, P. T., Casado, E. A., Pulla, M. P."Clinical pretreatment risk factors and prediction of outcome using gallium 67 scintigraphy in patients with Hodgkin's lymphoma". Molecular and Clinical Oncology 4, no. 1 (2016): 93-99. https://doi.org/10.3892/mco.2015.670