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University of Groningen

Primary tumor volume measurements in Ewing sarcoma

Kasalak, Ömer; Overbosch, Jelle; Glaudemans, Andor W J M; Boellaard, Ronald; Jutte, Paul

C; Kwee, Thomas C

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ACTA ONCOLOGICA DOI:

10.1080/0284186X.2017.1398411

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Publication date: 2018

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Kasalak, Ö., Overbosch, J., Glaudemans, A. W. J. M., Boellaard, R., Jutte, P. C., & Kwee, T. C. (2018). Primary tumor volume measurements in Ewing sarcoma: MRI inter- and intraobserver variability and comparison with FDG-PET. ACTA ONCOLOGICA, 57(4), 534-540.

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ISSN: 0284-186X (Print) 1651-226X (Online) Journal homepage: http://www.tandfonline.com/loi/ionc20

Primary tumor volume measurements in Ewing

sarcoma: MRI inter- and intraobserver variability

and comparison with FDG-PET

Ömer Kasalak, Jelle Overbosch, Andor W. J. M. Glaudemans, Ronald

Boellaard, Paul C. Jutte & Thomas C. Kwee

To cite this article: Ömer Kasalak, Jelle Overbosch, Andor W. J. M. Glaudemans, Ronald

Boellaard, Paul C. Jutte & Thomas C. Kwee (2018) Primary tumor volume measurements in Ewing sarcoma: MRI inter- and intraobserver variability and comparison with FDG-PET, Acta Oncologica, 57:4, 534-540, DOI: 10.1080/0284186X.2017.1398411

To link to this article: https://doi.org/10.1080/0284186X.2017.1398411

Published online: 09 Nov 2017.

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ORIGINAL ARTICLE

Primary tumor volume measurements in Ewing sarcoma: MRI inter- and

intraobserver variability and comparison with FDG-PET

€Omer Kasalaka, Jelle Overboscha, Andor W. J. M. Glaudemansa, Ronald Boellaarda, Paul C. Jutteband Thomas C. Kweea

a

Department of Radiology, Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands;bDepartments of Orthopedics, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands

ABSTRACT

Background: Primary tumor volume is as an important and independent prognostic factor in Ewing sarcoma. However, the observer variability of magnetic resonance imaging (MRI)-based primary tumor volume measurements in newly diagnosed Ewing sarcoma has never been investigated. Furthermore, it is unclear how MRI-based volume measurements compare to 18F-fluoro-2-deoxy-D-glucose (FDG) positron emission tomography (PET)-based volume measurements. This study aimed to determine the observer variability of simplified MRI-based primary tumor volume measurements in newly diagnosed treatment-naive Ewing sarcoma and to compare them to the actual primary tumor volume at MRI and the FDG-PET-based metabolically active tumor volume (MATV).

Material and methods: Twenty-nine newly diagnosed Ewing sarcoma patients with pretreatment MRI (of whom 11 also underwent FDG-PET) were included. Both exact and dichotomized (according to the proposed threshold of 200 mL) primary tumor volume measurements were analyzed.

Results: Mean inter- and intraobserver differences of MRI-based simplified tumor volume ± limits of agreement varied between 15–42 ± 155–204 mL and between 9–16 ± 64–250 mL, respectively. Inter-and intraobserver agreements of dichotomized MRI-based simplified tumor volume measurements was very good (j ¼ 0.827–1.000). Mean difference between simplified and actual tumor volumes at MRI ± limits of agreement was 60 ± 381 mL. Agreement between dichotomized simplified and actual tumor volumes at MRI was very good (j ¼ 0.839). Mean difference between MRI-based simplified tumor volume and MATV ± limits of agreement was 181 ± 549 mL and almost significantly different (p ¼ .0581). Agreement between dichotomized MRI-based simplified tumor volume and MATV was moderate (j ¼ 0.560).

Conclusions: Exact MRI-based simplified primary tumor volume measurements in Ewing sarcoma suffer from considerable observer variability, but observer agreement of dichotomized measurements (200 mL vs. >200 mL) is very good and generally matches MRI-based actual volume measurements. MRI-based primary tumor volume measurements poorly-moderately agree with and tend to be higher than the MATV.

ARTICLE HISTORY Received 29 August 2017 Accepted 18 October 2017

Introduction

Ewing sarcoma is a high grade primary tumor of bone, most commonly with soft tissue extension [1]. In rare cases the lesion is purely in the soft tissue [1]. Its peak incidence is dur-ing adolescence and young adulthood [1]. The overall annual incidence of Ewing sarcoma is approximately 2.93 cases/ 1,000,000 [2]. Metastatic status at diagnosis is the strongest prognostic factor across different treatment strategies [1]. Five-year overall survival remains 30% for patients with ini-tially metastatic disease [1]. Accurate staging, for which imag-ing plays an important role, is thus important for correct prognostication and treatment planning. Primary tumor vol-ume has also been recognized as an important and inde-pendent prognostic factor, both in localized disease and primary disseminated multifocal Ewing sarcoma [1].

In Europe, primary tumor volume is even used to tailor main-tenance chemotherapy in patients with localized disease [1]. The optimal cutoff value for prognostic stratification is still underinvestigated, although a primary tumor volume of more than 200 mL has been proposed by authoritative experts to identify those patients with a worse outcome [1], which is based on several previous studies [3–6]. The imaging modality at which these measurements should be done is also unclear, although they are currently usually performed at magnetic resonance imaging (MRI), which is regarded as the optimal radiological modality for local evaluation of Ewing sarcoma, thanks to its high contrast resolution [7].

Importantly, the observer variability of MRI-based primary tumor volume measurements in newly diagnosed Ewing sar-coma has never been investigated. Such knowledge is crucial CONTACT Thomas C. Kwee thomaskwee@gmail.com Department of Radiology, Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Hanzeplein 1, P.O. Box 30.001, 9700 RB Groningen, The Netherlands

This article was originally published with errors. This version has been corrected. Please see Corrigendum (http://dx.doi.org/10.1080/0284186X.2017.1410288).

ß 2017 Acta Oncologica Foundation

ACTA ONCOLOGICA, 2018 VOL. 57, NO. 4, 534–540

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for reliable prognostic stratification. Another issue is that primary tumor volume at MRI is currently calculated in a simplified manner by multiplying measured tumor dimen-sions in three orthogonal directions with a conversion fac-tor [3–6]. However, it is unknown whether these MRI-based simplified tumor volume measurements are interchangeable with the actual tumor volume at MRI as measured by manual slice-by-slice segmentation. Another relevant issue is that signal abnormalities at MRI may not only reflect viable tumor, but are likely to represent a combination of viable tumor, necrotic tissue and non-neoplastic surround-ing tissue alterations due to phenomena such as tumor-induced inflammation, mechanical stress and compression. On the other hand, MRI may fail to detect tumor in dif-fusely involved tissue without structural or signal abnormal-ities. Meanwhile, 18F-fluoro-2-deoxy-D-glucose (FDG) positron emission tomography (PET) is increasingly used in Ewing sarcoma as an alternative to computed tomography (CT) alone and bone scintigraphy and as an adjunct to MRI, for staging, therapy response assessment and restag-ing [8]. An advantage of FDG-PET is its high tumor-to-background contrast and the availability of software to automatically measure metabolically active tumor volume (MATV) with proven high feasibility of tumor segmentation and scan-rescan repeatability [9,10]. A comparison of pri-mary tumor volume measurements at MRI to FDG-PET-based MATV measurements is relevant to understand to what extent the former appears to over- or underestimate the viable tumor volume.

The purpose of this study was therefore to determine the inter- and intraobserver agreement of simplified MRI-based primary tumor volume measurements in newly diagnosed treatment-naive Ewing sarcoma and to compare them to the actual primary tumor volume at MRI and the MATV as meas-ured at FDG-PET.

Material and methods

Study design and patients

The local institutional review board approved this retrospect-ive study and waretrospect-ived the requirement for written informed consent. The hospital's database was searched for all patients who were newly diagnosed with Ewing sarcoma between March 2009 and April 2017. The hospital is a university clinic and one of the four national designated centers for treat-ment of bone tumors. Inclusion criteria for this study were: histopathologically proven newly diagnosed treatment-naive Ewing sarcoma in bone and/or soft tissue and availability of a pretreatment MRI examination. Exclusion criteria for this study were: chemotherapy, radiation therapy or tumor resec-tion before MRI, recurrent Ewing sarcoma and MRI without gadolinium-enhanced sequences. For the subgroup analysis in which MRI was compared to FDG-PET, an FDG-PET scan had to be performed within 14 days of MRI, FDG-PET had to be performed with a resEARch 4 Life (EARL)-accredited scan-ner [11] and patients should have remained treatment-naive before the FDG-PET examination.

MRI acquisition

MRI scans were performed using different clinical 1.5-T MRI systems. MRI sequences were adapted to body region and local tumor extent. Therefore, MRI protocols were not uni-form. Nevertheless, all patients were scanned with both unenhanced T1-weighted, (fat-suppressed) T2-weighted and gadolinium-enhanced sequences. Applied slice thicknesses varied between 1–4 mm (three-dimensional isotropic acquisi-tion). Sequences or reconstructed images (in case a three-dimensional isotropic MRI sequence was acquired) were oriented axially and in at least one longitudinal direction with regard to the involved bone.

FDG-PET acquisition

Patients fasted for at least six hours and blood glucose levels were checked to be less than 11 mmol/L before 3 MBq FDG/kg body weight was administered intravenously. Approximately 60 min after FDG administration, PET scanning was performed using an EARL-accredited combined PET/CT system (Biograph mCT PET/CT, Siemens, Knoxville, TN, USA). Data acquisition and reconstruction were performed according to European Association of Nuclear Medicine guidelines [11].

MRI evaluation

Simplified primary tumor volume measurements at MRI were done by three different radiologists ( €O.K., T.C.K. and J.O), with four, six and nine years of experience in musculoskeletal MRI, respectively) using a PACS workstation (Carestream Vue PACS version 11.4.1.1102, Carestream Health, Inc, Rochester, NY, USA). All three readers were aware of the diagnosis of Ewing sarcoma, but were blinded to original MRI reports, FDG-PET findings and each other's measurements. Radiographs and other imaging tests, if available, were not reviewed during MRI evaluation. Each reader measured the maximum left-right (LR), anterior-posterior (AP) and cranio-caudal (CC) tumor dimensions (Figure 1). Tumor tissue at MRI was defined as all areas with increased contrast-enhancement relative to normal background on gadolinium-enhanced sequences [7]. The simplified tumor volume was then calcu-lated according to the formula LR AP  CC tumor dimensions 0.52, as published previously [3–6]. This simpli-fied determination of primary tumor volume is the currently used measurement method for Ewing sarcoma in clinical practice. Under the same conditions and while being blinded to their first series of measurements, each reader measured simplified tumor volume in each patient a second time. Time interval between these two series of measurements was at least two weeks to avoid recognition bias.

Yet another two weeks later and while being blinded to all previous measurements, one radiologist (T.C.K.) measured tumor areas on all axial gadolinium-enhanced slices on which each tumor was visible, using freehand regions of interest (Figure 1). The actual tumor volume at MRI in each patient was calculated by multiplying tumor area by the slice thick-ness for each slice and then summing the tumor volumes of the slices.

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All MRI-based tumor volumes were also dichotomized into 200 vs. >200 mL groups, which is the cutoff that was recently suggested by authoritative experts [1].

FDG-PET evaluation

Primary tumor locations were identified on the whole-body FDG-PET scans. Using in-house-developed software (ACCURATE), volumes of interest encompassing the primary tumors were automatically generated using a 50% threshold of the peak standardized uptake value (SUVpeak) adapted for local background, as described previously [9,10]. For each volume of interest, SUVpeak(1.2 cm3spheric region positioned to maximize its mean value) and MATV (50% threshold of SUVpeak corrected for local background) were calculated [9,10]. FDG-PET-based MATV was also dichotomized into 200 and >200 mL groups [1].

Statistical analysis

Inter- and intraobserver agreements of MRI-based simplified tumor volume measurements were determined as mean

absolute difference (bias) and 95% confidence interval of the mean difference (limits of agreement) according to the meth-ods of Bland and Altman [12]. Intra- and interobserver agree-ments of dichotomized MRI-based simplified tumor volume measurements (200 mL vs. > 200 mL) were analyzed using the unweightedj statistic, defined as poor (<0.2), fair (>0.2 to 0.4), moderate (>0.4 to 0.6), good (>0.6 to 0.8) and very good (>0.8 to 1) agreement.

The mean MRI-based simplified tumor volume in each patient was then calculated based on the average of the six measurements in each patient (three observers with two measurements) for further analyses. Agreement between MRI-based simplified tumor volume, MRI-based actual tumor volume and FDG-PET-based MATV was deter-mined using Bland-Atman analyses [12] and agreement between the three dichotomized volume metrics (200 vs. >200 mL) was analyzed using the unweighted j statistic. Kolmogorov-Smirnov tests were used to check whether MRI-based simplified tumor volume, MRI-based actual tumor volume, and FDG-PET-based MATV were normally distributed. Differences between MRI-based simplified tumor volume and FDG-PET-based MATV and between MRI-based actual tumor volume and FDG-PET-based MATV were then Figure 1. A 9-year-old boy with Ewing sarcoma in and around the right clavicle. Tumor dimension measurements (left-right [LR], anterior-posterior [AP] and cranio-caudal [CC]) are shown on axial (A) and coronal (B) gadolinium-enhanced images. Simplified MRI-based tumor volume was then calculated as LR AP  CC tumor dimensions 0.52 [3–6]. Actual MRI-based tumor volume was calculated by first drawing free-hand tumor regions of interest on each axial slice (two slice examples are shown (C), multiplying tumor area by the slice thickness for each slice and then summing the tumor volumes of the slices. Coronal FDG-PET/CT (D) shows the tumor to be FDG-avid relative to mediastinum and liver. Using in-house-developed software (ACCURATE), supervised automated tumor segmentation was per-formed and MATV (50% threshold of SUVpeakcorrected for local background) was calculated [9,10]. Segmentation results are shown on coronal (E) and sagittal (F)

maximum intensity projection images. 536 €O. KASALAK ET AL.

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assessed using two-tailed paired t-tests. p values < .05 were considered statistically significant.

Statistical analyses were executed using MedCalc version 17.2 Software (MedCalc, Mariakerke, Belgium).

Results

Patients

A total of 40 patients with newly diagnosed Ewing sarcoma were potentially eligible for inclusion. Of these 40 patients, five were excluded because no MRI was performed, three were excluded because gadolinium-enhanced sequences were not acquired and three more were excluded because primary tumor resection was done before MRI. Thus, 29 patients (17 males and 12 females, with mean age of 20.4 ± 15.6 years [range: 5–64 years]) were finally included. Twenty-four patients had skeletal involvement, with primary tumors located in the pelvic bone (n ¼ 5), femur (n ¼ 4), ribs (n ¼ 4), vertebrae (n ¼ 3), tibia (n ¼ 2), skull (n ¼ 1), clavicle (n ¼ 1), humerus (n ¼ 1), sacrum (n ¼ 1), fibula (n ¼ 1) and cal-caneus (n ¼ 1). Five patients only had extra-osseous involve-ment, with primary tumor locations in the maxillary sinus (n ¼ 1), intraspinal extradural at the cervical level (n ¼ 1), glu-teal muscles (n ¼ 1), quadriceps muscles (n ¼ 1) and ham-strings (n ¼ 1). Twenty-one patients had localized disease, whereas eight patients had metastatic disease.

Twelve of these 29 (41%) patients had also undergone FDG-PET, of whom one was not included for further analysis due to a time interval of 41 days between MRI and FDG-PET. In the remaining 11 patients (seven males and four females, with mean age of 11.8 ± 3.6 years [range: 5–17 years]), MRI was performed before PET in six patients and after FDG-PET in five patients, with a time interval of 3.6 ± 3.6 days (range: 0–10 days) between the two examinations. The tumors were located in the pelvic bone (n ¼ 3), femur (n ¼ 3), ribs (n ¼ 2), clavicle (n ¼ 1), vertebra (n ¼ 1) and humerus (n ¼ 1). Whole-body FDG-PET/CT (cranial vertex to toes) was performed in five patients, FDG-PET/CT from cranial vertex to knees was performed in three patients and FDG-PET/CT from cranial vertex to mid-thighs was performed in three patients. Ten patients had localized disease, whereas one patient had metastatic disease.

All measured primary tumor volumes are displayed inTable 1.

Inter- and intraobserver agreement MRI-based simplified tumor volume measurements

Mean interobserver differences in MRI-based simplified tumor volume ± limits of agreement were 27 ± 204 mL for observer 1 vs. observer 2, 42 ± 155 mL for observer 1 vs. observer 3 and 15 mL ± 186 mL for observer 2 vs. observer 3. Mean intra-observer differences in MRI-based simplified tumor Table 1. Measured primary volumes per patient.

Exact MRI-based simplified primary tumor volume for each observer (mL)

No. Age Sex

Primary tumor location Metastases 1A 1B 2A 2B 3A 3B MRI-based actual primary tumor volume (mL) MATV primary tumor (mL) 1 5 F Femur No 131 156 152 155 75 64 154 26 2 9 F Humerus No 94 108 97 76 43 41 86 48 3 9 M Clavicle No 40 40 48 53 33 52 108 24 4 10 M Pelvis No 71 68 54 60 104 98 91 34 5 12 F Rib No 403 353 337 367 448 467 369 235 6 13 M Pelvis No 635 604 431 539 467 451 594 69 7 15 M Rib Yes 2154 2154 1700 1987 1943 1293 1459 991 8 17 M Pelvis No 135 127 123 128 135 119 115 91 9 17 M Femur No 34 36 33 39 26 30 27 12 10 14 M Femur No 333 311 505 561 140 206 316 18 11 9 F Vertebra No 98 110 147 136 82 113 82 43 12 10 F Tibia No 124 125 87 121 65 118 125 NA 13 12 M Rib Yes 417 407 446 316 418 357 296 NA

14 26 M Quadriceps musclea Yes 73 72 67 68 76 72 82 NA

15 57 M Sacrum No 81 80 85 95 85 97 92 NA 16 27 M Vertebra No 77 58 57 61 68 57 138 NA 17 24 F Pelvis Yes 51 46 41 44 56 59 43 NA 18 64 F Maxillary sinusa No 12 10 12 8 8 10 13 NA 19 10 F Vertebra No 142 107 88 78 69 68 71 NA 20 17 F Femur No 177 171 161 165 179 187 126 NA 21 10 M Skull No 124 135 121 136 99 117 117 NA 22 15 M Tibia No 125 197 151 159 81 98 280 NA

23 6 M Cervical intraspinal extradurala No 8 10 11 13 8 7 13 NA

24 25 M Fibula Yes 186 187 221 204 231 226 192 NA

25 15 F Pelvis Yes 2157 2043 2157 2129 2104 2054 1478 NA

26 59 M Calcaneus No 13 11 10 14 11 14 10 NA

27 43 F Rib No 162 173 180 158 162 139 141 NA

28 15 F Gluteal musclea Yes 1420 1397 1287 1423 1130 1252 629 NA

29 27 M Hamstrings musclea Yes 912 832 788 758 829 904 734 NA

1A: Observer 1 first measurement; 1B: Observer 1 second measurement; 2A: Observer 2 first measurement; 2B: Observer 2 second measurement; 3A: Observer 3 first measurement; 3B: Observer 3 second measurement; NA: not available

a

Only extra-osseous involvement.

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volume ± limits of agreement were 9 ± 64 for observer 1, 16 ± 134 for observer 2 and 14 ± 250 mL for observer 3, respectively. Corresponding Bland-Altman plots for inter- and intraobserver agreement (Figures 2and3, respectively) show that measurement variations appear to depend to some degree on the magnitude of measurements. Inter- and intra-observer agreements of dichotomized MRI-based simplified tumor volume measurements (200 vs. >200 mL) was very good (j ¼ 0.827–1.000), with only four discrepancies among a

total of 174 interobserver (29 3) and intraobserver (29  3) comparisons.

MRI-based simplified tumor volume versus MRI-based actual tumor volume

Mean difference between MRI-based simplified tumor volume and MRI-based actual tumor volume ± limits of agreement was 60 ± 381 mL (Figure 4). Agreement between Figure 2. Interobserver agreement of MRI-based simplified tumor volume

measurements. Bland-Altman plots of difference of MRI-based simplified tumor volume measurements (y-axis) against mean volume (x-axis), with mean abso-lute difference (bias) (continuous line) and 95% confidence interval of the mean difference (limits of agreement) (dashed lines) for observer 1 vs. 2 (upper panel), observer 1 vs. 3 (middle panel) and observer 2 vs. 3 (lower panel).

Figure 3. Intraobserver agreement of MRI-based simplified tumor volume measurements. Bland-Altman plots of difference of MRI-based simplified tumor volume measurements (y-axis) against mean volume (x-axis), with mean abso-lute difference (bias) (continuous line) and 95% confidence interval of the mean difference (limits of agreement) (dashed lines) for observer 1 (upper panel), observer 2 (middle panel) and observer 3 (lower panel).

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dichotomized based simplified tumor volume and MRI-based actual tumor volume measurements (200 vs. >200 mL) was very good (j ¼ 0.839, two discrepancies). MRI-based tumor volumes versus FDG-PET-based MATV Mean difference between MRI-based simplified tumor volume and FDG-PET-based MATV ± limits of agreement was 181 ± 549 mL (Figure 4). Mean difference between MRI-based

actual tumor volume and FDG-PET-based MATV ± limits of agreement was 149 ± 348 mL (Figure 4). Agreement between dichotomized MRI-based simplified tumor volume and FDG-PET-based MATV measurements (200 vs. >200 mL) and agreement between dichotomized MRI-based actual tumor volume and FDG-PET-based MATV measurements were both moderate (j ¼ 0.560, two discrepancies).

Kolmogorov-Smirnov tests confirmed that MRI-based sim-plified tumor volume (p ¼ .271, 341 ± 551 mL), MRI-based actual tumor volume (p ¼ .296, 309 ± 417 mL), and FDG-PET-based MATV (p ¼ 0.163, 160 ± 285 mL) were normally distrib-uted, justifying comparison with two-tailed paired t-tests. MRI-based simplified tumor volume was nearly significantly higher than FDG-PET-based MATV (p ¼ .0581) and MRI-based actual tumor volume was significantly higher than FDG-PET-based MATV (p ¼ .0193).

Discussion

The results of this study show that the observer variability of exact MRI-based simplified tumor volume measurements is rather high (especially for larger tumors), but both inter- and intraobserver agreement of dichotomized measurements (200 vs. >200 mL) are very good. The same results apply to the agreement between MRI-based simplified tumor volume measurements and MRI-based actual tumor volume measure-ments according to manual slice-by-slice tumor segmenta-tion. Therefore, as long as exact measurements on a continuous scale are not required, MRI-based simplified pri-mary tumor volume measurements can be regarded as quite robust to stratify patients into good and poor prognostic groups according to the 200 mL threshold. Nevertheless, even dichotomized MRI-based simplified primary tumor vol-ume measurements are not perfect, given the fact that these did not agree with MRI-based actual tumor volume measure-ments in two of 29 (7%) cases in this study. The non-negli-gible observer variability in MRI-based simplified volume measurements may in part be explained by the limited speci-ficity of MRI acquisitions to depict tumor boundaries. Another important finding of the present study is that both exact and dichotomized (200 vs. >200 mL) MRI-based vol-ume measurements poorly to moderately agree with the FDG-PET-based MATV, with primary tumor volumes according to the former being (nearly) significantly higher than primary tumor volumes according to the latter. This may be explained by the fact that gadolinium-enhancement is not specific in that it may represent both tumor tissue and non-neoplastic surrounding tissue alterations. On the other hand, it has not been proven that the FDG-PET-based MATV more accurately reflects the true primary tumor volume due to a lack of histopathological correlation. It should be noted that FDG is not tumor-specific either and may also accumulate in surrounding inflammatory tissue [13].

Until now, there were no studies that addressed primary tumor volume measurement methodology in Ewing sarcoma. Before the routine availability of cross-sectional imaging, primary tumor volumes were assessed on conven-tional radiographs, based on the formula LR AP  CC tumor Figure 4. Agreement between MRI-based simplified tumor volume, MRI-based

actual tumor volumeand FDG-PET-based MATV measurements. Bland-Altman plots of difference of tumor volume measurements (y-axis) against mean vol-ume (x-axis), with mean absolute difference (bias) (continuous line) and 95% confidence interval of the mean difference (limits of agreement) (dashed lines) for MRI-based simplified tumor volume vs. MRI-based actual tumor volume (upper panel), MRI-based simplified tumor volume vs. FDG-PET-based MATV (middle panel) and MRI-based actual tumor volume vs. FDG-PET-based MATV (lower panel).

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dimensions 0.52 [3–6]. This formula was proposed for extremity tumors with extraosseous extensions or metaphy-seal sites, assuming an ellipsoidal tumor configuration [3–6]. For diaphyseal tumors without extraosseous extension, the formula LR AP  CC tumor dimensions  0.785 was pro-posed, assuming a cylindrical tumor configuration [3–6]. However, since an associated soft-tissue mass in seen in about 96% of Ewing sarcoma patients [7], the former formula can be used in virtually all patients, as was the case in the present study. MRI has nowadays replaced plain radiography for local tumor evaluation, but primary tumor volumes are still measured according to this simplified formula, in part due to the fact that manual slice-by-slice tumor segmenta-tion is too cumbersome and time-consuming to be clinically feasible and in part due to the fact that (validated) software for automatic tumor segmentation is not available at every institution. Given the disagreements between MRI and FDG-PET with regard to both exact and dichotomized primary tumor volume measurements, future studies are required to compare the prognostic value of MRI- and FDG-PET-based primary tumor volume measurements and to determine whether MRI should remain the method of choice for this purpose. These future studies should also aim to standardize imaging protocols to allow for more widespread clinical implementation.

This study had several limitations. First, advanced MRI sequences such as diffusion-weighted imaging [14], which may potentially more accurately discriminate viable tumor volume from surrounding non-neoplastic tissue than gadolin-ium-enhanced sequences, have not been investigated. Second, the software that was used for FDG-PET analysis (ACCURATE) [9,10] was developed in-house and a software like this may not be available in other institutions. Third, pathological assessment of tumor volume was impossible, because patients receive neoadjuvant chemotherapy before primary tumor resection. Note, however, that all included patients were still treatment-naive before MRI and FDG-PET were performed. Fourth, patients were dichotomized into groups according to the 200 mL primary tumor volume threshold [1]. This cutoff was proposed by an international working group on the management of Ewing sarcoma [1], which is based on several previous studies [3–6]. However, whether 200 mL is the best cutoff for prognostic stratification remains under investigated. Nevertheless, it is nowadays commonly used in clinical practice. In addition, the present study also provided measures of inter- and in intraobserver traobserver agreement on a continuous scale. Fifth, FDG-PET was not performed in all patients, since this was at the dis-cretion of the treating oncologist.

In conclusion, exact MRI-based simplified primary tumor volume measurements in Ewing sarcoma suffer from consid-erable inter- and intraobserver variability and moderately agree with MRI-based actual primary tumor volume measure-ments. However, inter- and intraobserver agreement of

dichotomized MRI-based simplified primary tumor volume measurements (200 mL vs. >200 mL) is very good and gen-erally matches MRI-based actual volume measurements. Finally, MRI-based primary tumor volume measurements poorly-moderately agree with and tend to be higher than the MATV.

Disclosure statement

The authors declare they have no potential conflict of interest.

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