ISSN: 1899-0967
Polish Journal of Radiology
Established by prof. Zygmunt Grudziński in 1926 Sun
Current issue Archive About the journal Editorial board Abstracting and indexing Contact Instructions for authors Ethical standards and procedures
SCImago Journal & Country Rank


 
1/2020
vol. 85
 
Share:
Share:
more
 
 
Head and neck radiology
Original paper

Gross tumour volume comparison in oropharynx carcinomas using different intelligent imaging software. A retrospective analysis

Sigmund Stuppner
1
,
Justyna Waskiewicz
2
,
Antonio Ruiu
1

1.
Department of Diagnostic and Interventional Radiology, Bolzano General Hospital of Bolzano, Bolzano, Italy
2.
Radiotherapy and Radiooncology Service, Bolzano Healthcare Centre, Bolzano, Italy
Pol J Radiol 2020; 85: e287-e292
Online publish date: 2020/06/05
Article file
- Gross tumour volume.pdf  [1.25 MB]
Get citation
ENW
EndNote
BIB
JabRef, Mendeley
RIS
Papers, Reference Manager, RefWorks, Zotero
AMA
APA
Chicago
Harvard
MLA
Vancouver
 
 

Introduction

Oropharyngeal squamous cell carcinoma (OPSCC) has shown increasing incidence in recent decades due to an increase of human papillomavirus (HPV) distribution, especially among younger people. HPV-positive OPSCC cases now account for 70% of newly diagnosed OPSCCs in the United States of America [1]. Patients with a first diagnosis of oropharynx carcinoma often present with a locally advanced and surgically unresectable disease. But can tumour volume be an important pre-treatment parameter, like traditional TNM staging? Not only can the gross tumor volume (GTV) of oropharynx carcinomas be a pre-treatment parameter, but also three-dimensional images of OPSCC. In a clinical study [2] more accurate tumour volume estimation was shown to be an additional predictor between conventional radiotherapy (RT) alone, modern, highly conformal RT techniques, or more aggressive, combined treatment. Despite the fact that the eighth version of American Joint Committee on Cancer – Union for International Cancer Control (AJCC – UICC) does not use the GTV, we think that radiologists should report tumour volume in their conclusions. The idea of correlation between the GTV and the radiotherapy outcome is not new. The eighth edition reviewed staging system of oropharyngeal squamous cell carcinoma (TNM-System) from 2017 distinguishes between HPV-16-negative and HPV-16-positive tumours of the oropharynx. Today oropharyngeal cancers are treated with chemoradiation or first with surgery followed by radiation or chemoradiation. However, in our institute the management of OPSCC is performed in a multidisciplinary tumour board setting. The choice of the right treatment can be complex. After an internal tumour board decision for radiation therapy, our patients are addressed to an external Institute of Radiotherapy, where patients underwent intensity-modulated radiation therapy (IMRT) or volumetric modulated arc therapy (VMAT). GTV can predict local control at different head and neck subsites, and local recurrence is higher in large-volume tumours than in low-volume lesions arising in the same anatomic subsite [3-7]. Tumour volume and tumour response to RT have a profound influence on the dose required to control a given type of tumour, as well as other factors: the large number of stem cells which must be sterilised, intrinsic radio sensitivity, repair, rate of repopulation/regeneration during therapy, reoxygenation, and redistribution. Tumour control can be influenced by other mechanisms such as biological heterogeneity as the number of clonogenic stem cells, tumour microenvironment, or inter-cellular communication and genetic factors. An important factor influencing the RT outcome of patients with various types of tumours, including head and neck cancers, is that the clonogen number increases linearly with the tumour volume (TV) [8]. The TNM classification system for head and neck cancer incorporate only linear dimensions for a few tumour localisations. In the past, a two-dimensional approach in daily clinical practice or in measurement of TV or variations of TV are in use. Today, modern radiation oncology can precisely sculpt the radiation dose to target volumes while sparing multiple critical normal tissues such as the brainstem, optic chiasm, optic nerves, and the spinal cord.

Material and methods

Patients

Our internal institutional review board approved this study. Written informed consent was obtained from each patient. In this retrospective study we analysed 32 patients (74% men and 26% women) with histopathologically confirmed OPSCC between June 2018 and August 2019. Exclusion criteria were only poor-quality images (motion artefacts and from dental implants). All patients are listed in Table 1.

Table 1

Volume data of the different software types and their corresponding histopathology

PatientSyngo Plaza CT volume3D ProSoma software volumesyngo.CT-Liver-Analysis volumeHistopathology
119.4 cm326.1 ml24.8 mlSquamous carcinoma poorly differentiated HPV 16 pos
225.3 cm330.0 ml28.2 mlSquamous carcinoma poorly differentiated HPV 16 pos
335.0 cm344.3 ml40.3 mlSquamous carcinoma poorly differentiated HPV 16 neg
439.6 cm339.3 ml39.0 mlSquamous carcinoma poorly differentiated HPV 16 pos
585.5 cm389.2 ml86.0 mlSquamous carcinoma well differentiated HPV 16 neg
630.2 cm332.2 ml32.0 mlSquamous carcinoma poorly differentiated HPV 16 neg
75.4 cm38.0 ml9.0 mlSquamous carcinoma poorly differentiated HPV 16 pos
89.7 cm312.0 ml11.7 mlSquamous carcinoma poorly differentiated HPV 16 pos
921.1 cm325.7 ml23.7 mlSquamous carcinoma poorly differentiated HPV 16 neg
101.21 cm32.8 ml1.8 mlSquamous carcinoma poorly differentiated HPV 16 neg
114.7 cm36.2 ml5.0 mlSquamous carcinoma poorly differentiated HPV 16 pos
128.2 cm311.5 ml10.0 mlSquamous carcinoma poorly differentiated HPV 16 pos
1327.2 cm332.3 ml30.0 mlSquamous carcinoma moderately differentiated HPV 16 neg
141.6 cm32.7 ml3.0 mlSquamous carcinoma poorly differentiated HPV 16 neg
156.7 cm39.4 ml7.0 mlSquamous carcinoma moderately differentiated HPV 16 pos
160.8 cm37.1 ml10.0 mlSquamous carcinoma poorly differentiated HPV 16 neg
1715.2 cm319.2 ml18.5 mlSquamous carcinoma well differentiated HPV 16 pos
181.2 cm32.3 ml2.0 mlSquamous carcinoma poorly differentiated HPV 16 neg
192.4 cm33.7 ml2.5 mlSquamous carcinoma poorly differentiated HPV 16 neg
208.2 cm311.3 ml12.0 mlSquamous carcinoma moderately differentiated HPV 16 pos
213.9 cm34.5 ml5.0 mlSquamous carcinoma well differentiated HPV 16 neg
221.8 cm32.0 ml2.0 mlSquamous carcinoma poorly differentiated HPV 16 neg
2338.2 cm340.0 ml40.5 mlSquamous carcinoma poorly differentiated HPV 16 neg
241.0 cm32.0 ml2.5 mlSquamous carcinoma moderately differentiated HPV 16 neg
250.3 cm30.5 ml0.6 mlSquamous carcinoma well differentiated HPV 16 pos
262.0 cm33.0 ml2.7 mlSquamous carcinoma poorly differentiated HPV 16 neg
278.5 cm311.0 ml12.0 mlSquamous carcinoma poorly differentiated HPV 16 neg
2810.5 cm312.0 ml12.3 mlSquamous carcinoma well differentiated HPV 16 neg
297.8 cm310.3 ml9.5 mlSquamous carcinoma poorly differentiated HPV 16 neg
301.0 cm32.0 ml2.1 mlSquamous carcinoma well differentiated HPV 16 pos
312.5 cm34.0 ml3.6 mlSquamous carcinoma moderately differentiated HPV 16 neg
324.0 cm35.2 ml4.6 mlSsquamous carcinoma well differentiated HPV 16 neg

Data acquisition and scan protocol

In our institute we used a dual-source CT scanner (Somatom Drive; Siemens Healthcare, Forchheim, Germany) with the patient lying supine on the table with their arms along their body. All CT examinations were obtained after intravenous administration of 100 ml of 350 mg iodine/ml iodinated contrast material (Iobitridol, Xenetix 350, Guerbet, France), at a flow rate of 2.5 ml/s, followed by a 50 ml saline flush, through an 18-gauge catheter placed in an antecubital vein using an automatic power injector (Medrad Stellant, Bayer). Scanning parameters are listed in Table 2.

Table 2

Scanning parameters

ParameterSomatom definition drive
Scanning techniqueSpiral
Scan directionCaudocranial
Care kV80
Rotation time1 s
Pitch0.8

Gross tumour volume calculation

One radiologist calculated the TV manually measuring tumour length (L) and width (W) on the axial plane (Figure 1) and the height (H) on the sagittal plane (Figure 2). Then he calculated the TV using the formula 0.5236 × L × W × H (ellipsoid formula: volume = length × width × height × 0.5236) [9]. The other radiologist used syngo.CT-Liver-Analysis software to calculate the TV by contouring the volume only on axial CT images (Figure 3A). The advantage of this method is that a 3D model of the tumour is obtained (Figure 3B). Both volume-measuring methods were compared with the results of GTV-contouring method using 3D ProSoma software (MedCom, Darmstadt, Germany). In our radiotherapy department we use this software for organs at risk (OARs) contouring. We can build more treatment plans, and faster, and have more time to focus on delineation of GTVs and more time for our patients. The program allows the identification and contouring of the target volume and the creation of the clinical target volume (CTV). We also compared the times of the two methods: the first radiologist who used the simple formula needed on average one minute to determine the volume, while the second radiologist needed between three and five minutes with the syngo.via method, depending on the volume. The radiotherapist, on the other hand, needed between 1.5 and 2 minutes per patient with the 3D ProSoma software.

Figure 1

Manual measurement of length and width

/f/fulltexts/PJR/40914/PJR-85-40914-g001_min.jpg
Figure 2

Manual measurement of thickness

/f/fulltexts/PJR/40914/PJR-85-40914-g002_min.jpg
Figure 3

Second method of tumour volume analysing with syngo.CT-Liver-Analysis software (A = anterior). The red line represents the delimitation line of a squamous cell carcinoma of the posterior base of tongue (white arrow). [11] means the 11th slice

/f/fulltexts/PJR/40914/PJR-85-40914-g003_min.jpg

Statistical analysis

Graphpad Prism software was used for statistical data. To compare the two-volume calculating software packages we used the paired sample t-test. First, we compared the results from the ProSoma 3D software with the syngo.CT-Liver-Analysis software (Figure 4) and obtained a p-value of 0.0254 (assuming that a p-value less than 0.05 is statistically significant) and a correlation coefficient of 0.9980. The next step was a comparison between the results from the ProSoma 3D software with the Syngo Plaza software (Figure 5). In this case we obtained a p-value of 0.0001 and a correlation coefficient of 0.9943. The interobserver variability was calculated using the Bland-Altman method, from which the standard deviation (SD) between Syngo Plaza software and ProSoma 3D software was 2.1 and between syngo.CT-Liver-Analysis software and the ProSoma 3D software it was 1.34.

Figure 4

Comparison between 3D ProSoma software and syngo.CT-Liver-Analysis software

/f/fulltexts/PJR/40914/PJR-85-40914-g004_min.jpg
Figure 5

Comparison between Syngo Plaza CT software and 3D ProSoma software

/f/fulltexts/PJR/40914/PJR-85-40914-g005_min.jpg

Results

Our study suggests that syngo.CT-Liver-Analysis software for GTV determination has a greater reliability than standard manual method with Syngo Plaza in comparison with the 3D ProSoma software, as used by radiotherapists.

Discussion

Traditionally syngo.CT-Liver-Analysis software is used for liver segmentation and for the identification of its vascular territories and subterritories, especially for liver surgery. Radiologists use this software to calculate and correct liver volumes, to compare resected and residual liver volume, for the segmentation of liver vessel tree structures, and to visualise tumour position in relation to vessels. Our goal was to find a new field of activity for this software. Radiotherapists and radiologists should communicate more with each other, especially because radiologists often have little knowledge about radiotherapeutic procedures. Limitations of this study are the small patient numbers and the use of only one radiological software package. In terms of time, we have seen that the method with the syngo.CT-Liver-Analysis software takes longer. The fastest method remains the simplest at present, although it must be said that the sensitivity decreases in comparison. Radiation therapy for head and neck cancer has evolved and has moved from 3-D conformal radiotherapy (3D-CRT) to intensity-modulated radiotherapy (IMRT). The main disadvantages of IMRT are the time-consuming treatment planning process and the larger number of multiple fixed-angle beams and monitor units (MUs), which increases the treatment delivery time. Volumetric modulated arc radiotherapy (VMAT) is a new radiation therapy technique in which treatment is delivered using a continuous arc motion of the gantry with simultaneous variation of the multi-leaf collimator (MLC) position, gantry speed, and dose rate with the ability to produce highly conformal plans in a short delivery time. In our institution oropharynx tumours are treated with sequential VMAT or VMAT-simultaneous integrated boost (SIB-VMAT) with Raystation software (Figure 6A and 6B). There are many fractionation schedules across institutions, but the most commonly prescribed doses are biologically equivalent to 70 Gy to gross disease and 60/54 Gy to suspicious nodes. At our institution we preferer a simultaneous integrated boost (SIB) with VMAT technique in which different dose levels are assigned to the various target volumes – dose 66/2.2 Gy to the GTV and a margin of protentional microscopic spread and positive neck nodes and 54/1.8 Gy to the clinically negative nodal regions. Thermoplastic masks are used to keep the patient in the exact position (Figure 7). The dose and fractionation may also be influenced by inclusion or exclusion of concurrent chemotherapy. Gross target volume (GTV-T) is defined by the radio-oncologist as the extent of the primary tumour, shown by imaging studies and physical examination, with margin of 5 mm around the obtained clinical target volume (CTV-T). Gross nodal disease is defined as focal nodal necrosis or heterogeneity, or as short-axial diameter > 10 mm (GTV-N) plus a margin of 10 mm for potential direct routes of microscopic spread (CTV-N) as reported in the DAHANCA guidelines [10]. Hence, the GTV and CTV are included in planning target volume (PTV) to account for patient setup errors. The CTV does not overlap uninvolved critical adjacent structures such the optic nerves or chiasm, even if the physician planned to minimise the dose to these structures. This is an issue for potential interobserver and intraobserver variability. Some problems in the tumour boundary definition on CT derives from the difficulty to separate the tumour from the peritumoral oedema area, which is excluded from the region of interest (ROI). For this reason, magnetic resonance imaging (MRI) is often used, which is more sensitive than CT in distinguishing tumours from normal adjacent structures. The use of MRI can reduce inter-observer variability [11]. Also, fluorine 18 fluorodeoxyglucose (18F-FDG) positron emission tomography (PET) provides not only anatomy but also noninvasive functional imaging and biological metabolism. FDG-PET is effective for defining GTV in radiotherapy planning for squamous cell carcinoma of the head and neck [12]. Tumour volume in HNC is often more strongly associated with local control than tumour stage. Variation in TV or GTV contouring are the greatest geometrical uncertainties in the entire treatment care process, and inadequate delineation can compromise the curative intent. In this context multidisciplinary collaboration between surgeons, radiologists, and radiation oncologists is mandatory to achieve improved tumour control via better TV definition.

Figure 6

Examples of treatment planning software (ProSoma 3D) for oropharynx carcinomas with VMAT: 6 arcs are implemented in order to avoid shoulders (from arc angle 186° to 235°, 270° to 90°, 125° to 174°, clockwise and anticlockwise), help structures as spine expanded of 5 cm subtracted with PTV lowdose expanded of 0.6 cm was defined to minimise low-dose distribution outside PTV and around the spine

/f/fulltexts/PJR/40914/PJR-85-40914-g006_min.jpg
Figure 7

Thermoplastic mask to keep patient in the exact position

/f/fulltexts/PJR/40914/PJR-85-40914-g007_min.jpg

Conclusions

Syngo.ct-Liver-Analysis software is, in our opinion, an important tool for GTV calculation, with a high correlation score and good standard deviation (SD), like that of radiotherapeutic 3D ProSoma software.

Conflict of interest

The authors report no conflict of interest.

References

1 

Golusiński WGolusińska-Kardach E. Current role of surgery in the management of oropharyngeal cancer. Front Oncol 2019; 9: 388.

2 

Rutkowski T. The role of tumor volume in radiotherapy of patients with head and neck cancer. Radiat Oncol 2014; 9: 23.

3 

Mancuso AAMukherji SKSchmalfuss Iet al.. Preradiotherapy computed tomography as a predictor of local control in supraglottic carcinoma. J Clin Oncol 1999; 17: 631-637.

4 

Chua DTSharn JSKwong DLet al.. Volumetric analysis of tumor extent in nasopharyngeal carcinoma and correlation with treatment outcome. Int J Radiat Oncol Biol Phys 1997; 39: 711-719.

5 

Johnson CRThames HDHuang DTet al.. The tumor volume and clonogen number relationship: tumor control predictions based upon tumor volume estimates derived from computed tomography. Int J Radiat Oncol Biol Phys 1995; 33: 281-287.

6 

Freeman DEMancuso AAParsons JTet al.. Irradiation alone for supraglottic larynx carcinoma: can CT findings predict treatment results? Int J Radiat Oncol Biol Phys 1990; 19: 485-490.

7 

Gilbert RWBirt DShulman Het al.. Correlation of tumor volume with local control in laryngeal carcinoma treated by radiotherapy. Ann Otol Rhinol Laryngol 1987; 96: 514-518.

8 

Rutkowski T. The role of tumor volume in radiotherapy of patients with head and neck cancer. Radiat Oncol 2014; 9: 23.

9 

Hun JKWoochul K. Method of tumor volume evaluation using magnetic resonance imaging for outcome prediction in cervical cancer treated with concurrent chemotherapy and radiotherapy. Radiation Oncol J 2012; 30: 70-77.

10 

Saksø MAndersen EBentzen Jet al.. A prospective, multicenter DAHANCA study of hyperfractionated, accelerated radiotherapy for head and neck squamous cell carcinoma. Acta Oncol 2019; 58: 10: 1495-1501.

11 

Bird DScarsbrook AFSykes Jet al.. Multimodality imaging with CT, MR and FDG-PET for radiotherapy target volume delineation in oropharyngeal squamous cell carcinoma. BMC Cancer 2015; 15: 844.

12 

Kajitani CAsakawa IUto Fet al.. Efficacy of FDG-PET for defining gross tumor volume of head and neck cancer. J Radiat Re 2013; 54: 671-678.

Copyright: © Polish Medical Society of Radiology This is an Open Access article distributed under the terms of the Creative Commons Attribution-Noncommercial-No Derivatives 4.0 International (CC BY-NC-ND 4.0). License allowing third parties to download articles and share them with others as long as they credit the authors and the publisher, but without permission to change them in any way or use them commercially.
 
Quick links
© 2020 Termedia Sp. z o.o. All rights reserved.
Developed by Bentus.
PayU - płatności internetowe