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. 2024 Jun 25;14:14591. doi: 10.1038/s41598-024-64253-8

Hodgkin lymphoma: hypodense lesions in mediastinal masses

Adrian Damek 1, Lars Kurch 2, Friedrich Christian Franke 1, Andishe Attarbaschi 3,4, Auke Beishuizen 5,6, Michaela Cepelova 7, Francesco Ceppi 8, Stephen Daw 9, Karin Dieckmann 10, Ana Fernández-Teijeiro 11, Tobias Feuchtinger 12, Jamie E Flerlage 13, Alexander Fosså 14, Thomas W Georgi 2, Dirk Hasenclever 15, Andrea Hraskova 16, Jonas Karlen 17, Tomasz Klekawka 18, Regine Kluge 2, Dieter Körholz 19, Judith Landman-Parker 20, Thierry Leblanc 21, Christine Mauz-Körholz 19, Markus Metzler 22, Jane Pears 23, Jonas Steglich 1, Anne Uyttebroeck 24, Dirk Vordermark 25, William Hamish Wallace 26, Walter Alexander Wohlgemuth 1, Dietrich Stoevesandt 1,✉
PMCID: PMC11199705  PMID: 38918503

Abstract

Hypodense volumes (HDV) in mediastinal masses can be visualized in a computed tomography scan in Hodgkin lymphoma. We analyzed staging CT scans of 1178 patients with mediastinal involvement from the EuroNet-PHL-C1 trial and explored correlations of HDV with patient characteristics, mediastinal tumor volume and progression-free survival. HDV occurred in 350 of 1178 patients (29.7%), typically in larger mediastinal volumes. There were different patterns in appearance with single lesions found in 243 patients (69.4%), multiple lesions in 107 patients (30.6%). Well delineated lesions were found in 248 cases (70.1%), diffuse lesions were seen in 102 cases (29.1%). Clinically, B symptoms occurred more often in patients with HDV (47.7% compared to 35.0% without HDV (p = 0.039)) and patients with HDV tended to be in higher risk groups. Inadequate overall early-18F-FDG-PET-response was strongly correlated with the occurrence of hypodense lesions (p < 0.001). Patients with total HDV > 40 ml (n = 80) had a 5 year PFS of 79.6% compared to 89.7% (p = 0.01) in patients with HDV < 40 ml or no HDV. This difference in PFS is not caused by treatment group alone. HDV is a common phenomenon in HL with mediastinal involvement.

Keywords: Thymic cyst, Hypodense lesion, Hodgkin lymphoma, Tomography, X-ray computed

Subject terms: Cancer, Cancer imaging, Outcomes research

Introduction

Hodgkin lymphoma (HL) in childhood and adolescence is among the cancer entities with the highest 5 year survival rates, currently exceeding 90%1–3.

Long-term effects caused by tumor therapy limit the quality of life4,5 and survival in HL. Solid tumors are the main cause (other than HL itself) of death for long time survivors6. Relative risk of a coronary heart disease after mediastinal radiotherapy is also increased7. Therefore a lot of effort was directed towards decreasing side effects by avoiding radiotherapy8. In consequence, prognostic markers are needed to identify high risk patients in order to modify their treatment.

Hypodense volumes (HDV) in the thymus on contrast enhanced (CE) CT-scans were previously described as necrosis in mediastinal HL only in relatively small patient groups9,10. In 1990 Hopper et al. found no statistically significant correlation between the occurrence of hypodense lesions and progression free survival (PFS)9. In T-cell lymphomas hypodense lesions predicted a worse outcome11. Necrosis can be associated with hypoxia which is an adverse prognostic factor in solid tumors, as it is associated with tumor progression and resistance to therapy12,13.

Tumor volume is an established prognostic marker in HL. Tumor volume can be estimated as an ellipsoid (calculated by multiplying the horizontal length (a) with horizontal length (b) and vertical length (c) divided by two at initial staging)14,15.

In the EuroNet-PHL-C1 trial therapy was adjusted to tumor volume, B-symptoms and therapy response. Patients of Ann-Arbor stages I A/B and II A were assigned to therapy group-1 (TG1), stages IA/BE, IIAE, II B or III A to TG2 and stages IIBE, IIIA/BE, III B or IV A/B to TG3. All therapy groups received two intensive induction cycles (vincristine, etoposide, prednisone and doxorubicin; OEPA scheme). TG2 and TG3 received two or four additional cycles. These TG2 and TG3 patients were randomly assigned to a COPDAC (cyclophosphamide, vincristine, prednisone and dacarbazine) or COPP (cyclophosphamide, vincristine, prednisone, procarbazine) scheme to reduce gonadotoxicity. All patients received early response assessment (ERA) with a positron emission tomography (PET)/CT-scan after two cycles of chemotherapy. Early interim fluorodeoxyglucose (18F-FDG) PET-positivity after two cycles of chemotherapy strongly correlated with a poor PFS16. Therefore only 18F-FDG-PET-positive patients received radiotherapy in order to minimize long-term effects. Due to this individualized therapy there was a homogenization of PFS around 80–95% in all therapy groups3,17.

Objective

The aim of this study was to describe the incidence, factors contributing to the occurrence and characteristics of HDV as well as its possible value as a prognostic marker in a large group of CHL patients enrolled in the EuroNet-PHL-C1 trial.

Materials and methods

This study was based on images and clinical data of the prospective EuroNet-PHL-C1 trial (EudraCT: 2006-000995-33; Clinicaltrial.gov: NCT00433459) which recruited 2102 pediatric and adolescent patients with CHL between 2007-30-01 and 2013-29-013. Original imaging data (18F-FDG-PET, CT, MRI) of 1752 patients was available for central review.

According to national legislation, the EuroNet-PHL-C1 trial was approved by ethics committees, medical agencies, and institutional review boards of the participating countries and centers. All patients and/or their guardians gave written informed consent. The institutional review board of the EuroNet-PHL-C1 trial approved this retrospective imaging data analysis and waived the requirement for additional informed consent. The study was performed in accordance with good clinical practice and the Declaration of Helsinki. The datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.

A total of 1262 patients who received a CE CT scan on initial staging and had mediastinal lymphoma involvement were eligible for our study. We excluded 84 patients because of technical reasons like missing or incomplete DICOM-data, insufficient image quality (defined as: slice thickness of > 5 mm, incomplete imaging of the tumor, motion- ring- or beam-hardening-artifacts, low image resolution). Our final study population comprised 1178 patients (see Fig. 1).

Figure 1.

Figure 1

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Flowchart of patient inclusion and patient groups in the study.

The following parameters were recorded in the C1-database: age at registration, sex and occurrence of B symptoms (fever, drenching night sweats and weight loss), hemoglobin, serum albumin and erythrocyte sedimentation rate. The initial mediastinal tumor volume was calculated as a*b*c/2 (TVabc). Correspondingly the volume on ERA was assessed (TVERA). Morphologic ERA-response was defined as (1-(TVERA/TVabc)*100). Overall 18F-FDG-PET-positivity status on early response assessment was recorded as well as Ann-Arbor stages and TG. PFS status was also taken from the C1-data-base, median follow-up was 64 months.

Reading was preferably done on CT scans with a medium smooth reconstruction kernel and a slice thickness of 5 mm. This was done in only 49.4% of all 1178 cases. In the remaining cases, recalculated data from slice thicknesses between 0.5 and 4.0 mm were used. The computed tomography dose index (CTDI)vol strongly varied due to the multinational multicenter design of the study with patients from 152 study sites and was not documented in all cases. In the CT images used for this publication, the CDTIvol varied from 2.52 to 8.64 mGy.

Standardized preset values for observing the CT images were applied. For tumor measurements window level (WL) 50 Hounsfield units (HU) and window width (WW) 350 HU was chosen. For measurement of hypodense volumes two narrow window settings were used (WL: 100 WW: 300 and WL: 34 WW: 88) (see Fig. 2).

Figure 2.

Figure 2

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Hypodense lesion evaluation presets. (a) WL: 34 WW: 88, second hypodense lesion (arrowhead) ventromedial of the better visible larger lesion (arrow). (b) WL: 100 WW: 300, ventral lesion less visible. The hypodense lesions in this case have an average density of 21 HU, the rest of the tumor of 57 HU (CTDI 4.52 mGy).

HDV was defined as a clearly delineated area more than 30 HU below the surrounding tumor tissue attenuation. For measuring these were encircled in each slice and corresponding to Gossmann et al.18 measured as a volume (TV3D). For the measurement of the mediastinal tumor volume we compared the volumetric approach (TV3D) to the TVabc method used in the C1-trial.

Hypodense lesions were visually classified as well delineated or diffuse (see Fig. 4). Diffuse HDV was defined as tumor margins that blended into the surrounding tissue without a clear demarcation. Osirix MD Software by pixmeo (version 5.5-10) was used for measurements. All data analyses were performed using R version 4.0.2.

Figure 4.

Figure 4

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Variety of appearances of hypodense lesions. (a) Single lesion with enhancing wall (CTDI 2.52 mGy, average lesion density 29 HU), (b) multiple sharply delineated lesions (CTDI 6.56 mGy average lesion density 16 HU), (c) diffuse lesions (CTDI 8.64 mGy average lesion density 29 HU).

Results

There was no significant difference in sex (p = 0.54) or Ann Arbor stages (p = 0.457) between patients included in our subanalysis and the non-included C1 trial population, however there was a slight increase in patients older than 13 years in the included group (p = 0.0182).

We performed the TVabc and the TV3D measurement in all patients with more than 10% of HDV in the tumor and found the latter to be time consuming (45–75 min per patient). A Pearson correlation of mediastinal TV3D and mediastinal TVabc was 0.912 (95% CI [0.865; 0.943]) (see Fig. 3). The TV3D measurement is too time consuming in a routine clinical setting and the accurate TVabc method was solely used for patients with smaller HDV.

Figure 3.

Figure 3

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Strong correlation between TV3D and TVabc assessment of mediastinal volumes.

Therefore most of the other calculations were performed using mediastinal TVabc, because the method can be considered as valid. The hypodense ratio was defined as HDV divided by mediastinal TVabc.

1178 patients were included in this study. 350 patients (29.7%) had at least one HDV. There were different patterns in appearance. Single lesions were found in 243 patients (69.4%), multiple lesions in 107 patients (30.6%). Well delineated lesions were more common and found in 248 cases (70.1%) while diffuse lesions were seen in 102 cases (29.1%) (see Fig. 4).

HDV typically occurred in larger mediastinal volumes. Mediastinal TV3D and HDV correlated strongly (Pearson correlation was 0.908; 95% CI [0.859; 0.941]). Mediastinal TVabc also correlated with the HDV (Pearson correlation was 0.503; 95% CI [0.419; 0.578]).

B symptoms occurred in patients with HDV in 47.7% and in 35.0% of patients without HDV (Chi-Square-test, p = 0.039). If B symptoms were observed separately there was a significant difference between the HDV and non-HDV group (fever: p = 0.018; night sweats: p = 0.001; weight loss p < 0.001). HDV were not correlated to inflammatory parameters like serum albumin, hemoglobin, or erythrocyte sedimentation rate.

Patients with HDV were statistically significantly detectable in higher therapy groups (TG1: 27.4% vs. 40.1%, TG2: 20.3% vs. 20.8%, TG3: 52.3% vs. 39.1%; p = 0.021).

If corrected for B symptoms, other prognostic factors from the C1-trial (erythrocyte sedimentation rate, serum albumin and hemoglobin) partially correlated with mediastinal TVabc but not with HDV.

Overall ERA-18F-FDG-PET-response correlated with the occurrence of HDV (p-value < 0.001).

Patients with larger HDV showed slightly higher incidence of overall ERA-18F-FDG-PET-positivity in a binomial regression (p < 0.01). There was no correlation between the ERA volume response and HDV (HDV 81.3% vs. 80.8%; p = 0.88).

The presence of HDV was not significantly correlated to PFS (LogRank-test, p = 0.481).

In a next step the group of patients with a hypodense ratio ≥ 10% was defined as the high hypodense ratio and the rest as low hypodense ratio group. The high hypodense ratio group consisted of 78 (6.6%) patients. In this high hypodense group the ratio from 10 to ≤ 20% was present in 51 (65.4%) patients, between > 20% and ≤ 30% in 10 (12.8%), between > 30% and ≤ 40% in 11 (14%), between > 40% and ≤ 50% in 4 (5.1%), between > 50% and ≤ 60% in 1 (1.3%) and between > 60% and ≤ 70% in 1 (1.3%). There were no patients with a hypodense ratio of more than 70%.

The hypodense ratio did not correlate with mediastinal TVabc (Pearson correlation was 0.075 (95% CI [− 0.031, 0.180]).

There was also no significant correlation between high hypodense ratio and mediastinal TV3D, a Pearson correlation only showed a weak effect size with a coefficient of − 0.031 (95% CI [− 0.252, 0.193]).

There was no correlation between the high hypodense ratio and PFS (89.1% in the low and 87.2% in the high ratio group; p = 0.739).

In a third step the significance of large HDVs was analyzed.

Thus small volumes may be common and may have no influence on PFS, a cut-off value of 40 ml, roughly corresponding to the mean value plus one standard deviation on the log scale, was chosen. The group with volumes larger than 40 ml (n = 80) had a 5 year PFS of 79.6% (95% CI [71.2%; 89.1%]) instead of 89.3% (95% CI [87.4%; 91.2%]). This difference was significant (p = 0.017) (see Fig. 5).

Figure 5.

Figure 5

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Kaplan–Meier plot of the HDV > 40 ml group. Patients with volumes above 40 ml (n = 80) compared to all other patients with sufficient PFS data (n = 1098). LogRank Test p = 0.0172.

The size of this difference is robust when using 60 ml or 100 ml as cut-off. The 80 patients having 40 ml HDV or more were distributed to TGs as follows (16.2% TG1, 17.5% TG2, 66.2% TG3). 14 out of 16 relapses were from the TG3 group. In a subgroup analysis of only TG3 patients the difference in PFS persisted (see Fig. 6.) and was even more pronounced (p = 0.0008).

Figure 6.

Figure 6

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Kaplan–Meier plot of the HDV > 40 ml group in TG3 compared to all patients in TG3 with HDV < 40 ml. Patients with volumes above 40 ml (n = 53) compared to all other patients with sufficient PFS data (n = 454). LogRank test p = 0.0008.

Discussion/conclusion

Hopper et al.9 concluded that hypodense areas do not have an impact on PFS. In contrast, in our study larger HDV (> 40 ml) showed an impact on PFS. It has been postulated by Hopper et al. that HDV is the correlate of necrosis9. Also hypoxia is associated with tumor progression and resistance to therapy12,13. Necrosis and the resulting hypoxia would be a possible pathophysiological explanation for the negative impact of large HDV on patient prognosis.

Patients with HDV > 40 ml are enriched in advanced stages but the subgroup analysis of TG3 patients shows a persistent difference in PFS (p = 0.0008). Indicating that the difference in PFS is not caused by TG alone. Further research is needed to clarify whether HDV is an epiphenomenon in larger tumors or an independent prognostic indicator for lower PFS. Patients with HDV may require increased follow-up in future studies. The effects of radiotherapy on HDV also need to be further investigated.

The a*b*c/2-method as a surrogate 3D-measurement of volumes has been established for different settings14 and seems less time consuming than true 3D-measurements19. Since auto segmentation of mediastinal tumor volumes is more complicated than lung nodule volumetry20 algorithms for automated detection could not be used in our study. Therefore mediastinal TVabc has been used as the standard volume measurement method in EuroNet-PHL trials. The present sub-study showed that correlations of HDV and mediastinal TVabc were not as strong as HDV and mediastinal TV3D. The TVabc method assumes an ellipsoid mediastinal tumor shape, but this is not always reflecting true tumor shape. This may be due to limited mediastinal space, which influences tumor growth. Since the TV3D method is extremely time consuming and not feasible for clinical practice, mediastinal TVabc has also been used in this sub-study.

With increasing mediastinal tumor volume, there was a higher probability of HDV occurrence. If HDV was present, it strongly correlated with the mediastinal tumor volume. Therefore it can be postulated that their occurrence is a biological phenomenon in CHL. Hypodense lesions have been described in other tumor entities like nasopharyngeal carcinoma21. Yang et al. postulated that in NHL areas with reduced or missing contrast enhancement should be considered to represent intratumoral necrosis. This, as well as inhomogeneous density, proved to be a negative predictor for a “good outcome” defined as patients that survived for more than 24 months with no evidence of recurrence11.

Hopper et al. first described HDV in HL in 1990. They also considered low-attenuated areas on CT scans with an average of 10–27 HU to be nodal necrosis. In an adult HL population of 107 patients, 21% had necrosis of at least a portion of their nodal disease as shown by thoracic CT on initial staging9. Although it has been postulated by Hopper and Yang9,11 there are no larger studies that histologically correlate HDV to necrosis.

Overall 18F-FDG-PET-positivity on early interim staging is a unfavorable prognostic indicator with regard to PFS16. Therefore, this was used in the C1-trial to assign patients to radiotherapy after the end of chemotherapy. In this study 18F-FDG-PET response correlated with the presence and also the size of HDV. Therefore HDV might be a surrogate parameter for 18F-FDG-PET lymphoma treatment response where 18F-FDG-PET is not accessible.

In HL B symptoms correlate with poor PFS22. In our study the occurrence of hypodense lesions correlated with B symptoms but there was no correlation of HDV and PFS. The missing correlation could be explained by the fact that B symptoms led to an intensified therapy scheme in the C1-trial3.

Vecchi et al.22 and Lee et al.23 observed a worse therapy outcome for large mediastinal masses. Yang et al.11 showed a correlation between inhomogeneous density in the tumor pattern and a poor survival outcome in 51 NHL patients. Analogue changes in MRI associated with necrosis in nasopharyngeal carcinoma are an established prognostic factor21. HDV in HL and their correlation to PFS has rarely been surveyed. Hopper et al.9 investigated whether low-attenuation, complex cystic areas on CT scans in mediastinal nodal disease have an impact on remission and overall survival. Besides a difference in size (average diameter of the nodal mass: 9.5 cm tumor with necrotic part vs. 8.5 cm) and tumor volume (average volume of the nodal mass: 1274 cm3 tumor with necrotic part vs. 876 cm3), they found no difference between patients with HDV and without9. Our cohort consisted of 1178 pediatric and adolescent patients, whilst their cohort contained only 107 adult (18 years of age or older) patients and used a different scanning protocol (10 mm slices).

There are several limitations in our study. Due to its design as a multicenter study there was a wide range of different CT protocols with different contrast agent injection rates and doses. Low doses of contrast medium used may have caused some small HDVs to be missed. RSeveral patients with Non-CE-CT had to be excluded, although hypodense lesions were present. The threshold for the presence of small HDV was hard to define, because it was not always distinguishable from fatty tissue or trapped pericardial effusion. Since patients with HDV were more likely to receive intensified treatment and radiotherapy the prognostic value of HDV was possibly leveled out and therefore underestimated in this study.

Conclusion

Hypodense lesions are common in CHL, typically appearing in larger mediastinal masses. HDV are linked to higher stages of CHL and HDV larger than 40 ml are linked to a poor prognosis in children and adolescents. Further research with additional 18F-FDG-PET-data should be considered to clarify whether HDV is an epiphenomenon in larger tumors or an independent indicator for PFS.

Abbreviations

CE

Contrast enhanced

CHL

Classical Hodgkin lymphoma*

COPDAC

Cyclophosphamide, vincristine, prednisone and dacarbazine

COPP

Cyclophosphamide, vincristine, prednisone, procarbazine

CT

Computed tomography

CTDIvol

Computed tomography dose index in helical CT

DICOM

Digital imaging and communications in medicine

ERA

Early response assessment

EuroNet-PHL

European Network for Pediatric Hodgkin Lymphoma

18F-FDG

Fluorodeoxyglucose

HDV

Hypodense volumes

HL

Hodgkin lymphoma (including nodular type of lymphocyte predominant Hodgkin lymphoma and CHL)

HU

Hounsfield units

TV3D

Tumor volume measured slice by slice

TVabc

Tumor volume measured (a*b*c)/2

TVERA

Tumor volume at early response assessment

OEPA

Vincristine, etoposide, prednisone and Doxorubicin

PET

Positron emission tomography

PFS

Progression free survival

TG

Therapy group

WL

Window length

WW

Window width

Author contributions

Each author has made substantial contributions to the work, all authors reviewed the manuscript. Adrian Damek, Lars Kurch, Friedrich Christian Franke, Christine Mauz-Körholz, Dieter Körholz and Dietrich Stoevesandt were involved in the design and conception of the work. Adrian Damek, Dietrich Stoevesandt and Dirk Hasenclever were responsible for the analysis, Adrian Damek, Dietrich Stoevesandt, Dirk Hasenclever and Dieter Körholz for the interpretation of the data. Adrian Damek, Lars Kurch, Friedrich Christian Franke, Jonas Steglich and Dietrich Stoevesandt have drafted the work. The work was substantively revised by Andishe Attarbaschi, Auke Beishuizen, Michaela Cepelova, Francesco Ceppi, Stephen Daw, Karin Dieckmann, Ana Fernández-Teijeiro, Tobias Feuchtinger, Jamie E Flerlage, Alexander Fosså, Thomas W Georgi, Dirk Hasenclever, Andrea Hraskova, Jonas Karlen, Tomasz Klekawka, Regine Kluge, Dieter Körholz, Judith Landman-Parker, Thierry Leblanc, Christine Mauz-Körholz, Markus Metzler, Jane Pears, Anne Uyttebroeck, Dirk Vordermark, William Hamish Wallace and Walter Alexander Wohlgemuth. Andishe Attarbaschi, Auke Beishuizen, Michaela Cepelova, Francesco Ceppi, Stephen Daw, Karin Dieckmann, Ana Fernández-Teijeiro, Tobias Feuchtinger, Alexander Fosså, Thomas W Georgi, Andrea Hraskova, Jonas Karlen, Tomasz Klekawka, Regine Kluge, Dieter Körholz, Judith Landman-Parker, Thierry Leblanc, Christine Mauz-Körholz, Markus Metzler, Jane Pears, Anne Uyttebroeck, Dirk Vordermark, William Hamish Wallace and Walter Alexander Wohlgemuth were involved in patient acquisition. Christine Mauz-Körholz, Dieter Körholz, Dirk Hasenclever, Regine Kluge and William Hamish Wallace were also responsible for the planning and the execution of the EuroNet-PHL C1-trial.

Funding

Open Access funding enabled and organized by Projekt DEAL.

Data availability

The datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.

Competing interests

The authors declare no competing interests.

Footnotes

Publisher's note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.

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