Literature DB >> 28052737

Changes in Tumor Volumes and Spatial Locations Relative to Normal Tissues During Cervical Cancer Radiotherapy Assessed by Cone Beam Computed Tomography.

Wenjuan Chen1, Penggang Bai1, Jianji Pan1, Yuanji Xu1, Kaiqiang Chen1.   

Abstract

PURPOSE: To assess changes in the volumes and spatial locations of tumors and surrounding organs by cone beam computed tomography during treatment for cervical cancer.
MATERIALS AND METHODS: Sixteen patients with cervical cancer had intensity-modulated radiotherapy and off-line cone beam computed tomography during chemotherapy and/or radiation therapy. The gross tumor volume (GTV-T) and clinical target volumes (CTVs) were contoured on the planning computed tomography and weekly cone beam computed tomography image, and changes in volumes and spatial locations were evaluated using the volume difference method and Dice similarity coefficients.
RESULTS: The GTV-T was 79.62 cm3 at prior treatment (0f) and then 20.86 cm3 at the end of external-beam chemoradiation. The clinical target volume changed slightly from 672.59 cm3 to 608.26 cm3, and the uterine volume (CTV-T) changed slightly from 83.72 cm3 to 80.23 cm3. There were significant differences in GTV-T and CTV-T among the different groups ( P < .001), but the clinical target volume was not significantly different in volume ( P > .05). The mean percent volume changes ranged from 23.05% to 70.85% for GTV-T, 4.71% to 6.78% for CTV-T, and 5.84% to 9.59% for clinical target volume, and the groups were significantly different ( P < .05). The Dice similarity coefficient of GTV-T decreased during the course of radiation therapy ( P < .001). In addition, there were significant differences in GTV-T among different groups ( P < .001), and changes in GTV-T correlated with the radiotherapy ( P < .001). There was a negative correlation between volume change rate (DV) and Dice similarity coefficient in the GTV-T and organs at risk ( r < 0; P < .05).
CONCLUSION: The volume, volume change rate, and Dice similarity coefficient of GTV-T were all correlated with increase in radiation treatment. Significant variations in tumor regression and spatial location occurred during radiotherapy for cervical cancer. Adaptive radiotherapy approaches are needed to improve the treatment accuracy for cervical cancer.

Entities:  

Keywords:  Dice similarity coefficient; cervical cancer; cone beam computed tomography; image-guided radiation therapy; volume change rate

Mesh:

Year:  2017        PMID: 28052737      PMCID: PMC5616038          DOI: 10.1177/1533034616685942

Source DB:  PubMed          Journal:  Technol Cancer Res Treat        ISSN: 1533-0338


Introduction

Cervical cancer is the most common female cancer worldwide. Most patients have locally advanced disease in which the standard treatment is chemotherapy with radiation followed by brachytherapy, and expected cure rates range from 30% to 90%, depending on the cancer stage.[1,2] Recent advances in radiotherapy treatment planning and delivery technology have enabled the formulation of highly accurate conformal radiotherapy treatment plans and low damage to organs at risk (OAR). Some studies have found that intensity-modulated radiation therapy (IMRT) is associated with less gastrointestinal and hematologic toxicity, relative to conventional techniques.[3] The IMRT has been increasingly accepted as a treatment for gynecologic cancer. The IMRT enables highly conformal uniform dose delivery to target volumes (eg, the cervix, uterus, parametrium, and pelvic lymph nodes) while reducing doses to OAR (bowel, bladder, rectum, and bone marrow) compared to the conventional 4-field box techniques.[3,4] A retrospective study showed that, with IMRT, late gastrointestinal toxicity was reduced from 50% to 11% for all grades, with favorable tumor control and survival.[5] However, tumor regression and organ motion can affect the dose received regardless of the method of delivery. Some studies have found that the uterus and cervix can move substantially during treatment.[6-8] Due to motion of the uterus and cervix, changes in the clinical target volume (CTV) can influence the exposure to radiation of adjacent organs, such as the intestine, bladder, and rectum. Therefore, it is necessary to evaluate these changes during radiotherapy to reduce errors. Image-guided radiotherapy was developed to detect anatomical motion and adjust radiation therapy accordingly. The motion has 2 major components—volumetric changes in targets (ie, tumors) and positional changes of the targets and surrounding organs. In clinical practice, we usually use center of mass or fiducial markers to evaluate target changes and motions.[9] However, this method is not comprehensive enough, so here, we introduce the method of Dice similarity coefficient (DSC) and volume change rate (ΔV) to compare fully the space location of 2 registration image spaces and the volumetric changes for targets. The purpose of the study was to use cone beam computed tomography (CBCT) to monitor the regression of volumes and changes in spatial location of the GTV-T, uterus (CTV-T), and the CTV in patients with cervical cancer during IMRT.

Methods and Materials

Patients

This prospective study comprised 16 patients with cervical cancers at stages IB2 to IIIB, based on the International Federation of Gynecology and Obstetrics classification.[10] Specifically, 3, 5, 2, and 6 patients had stage IB2, IIB, IIIA, and IIIB cervical cancer, respectively. This study was approved by our hospital institutional review board in September 2014. Patients underwent IMRT with concurrent cisplatin-based chemotherapy, followed by high-dose-rate intracavitary brachytherapy. Each patient was given an external beam radiation therapy dose of 48.6 Gy in 27 fractions of 1.8 Gy using 7 beams and 6 MV photons to the planning target volume. After this course, each patient received high-dose-rate intracavitary implants once per week that weekly delivered 28 Gy in 4 fractions. All patients received concurrent cisplatin (80 mg/m2) every 3 weeks per cycle (total 2-4 cycles).

Distinguishing Tumors From Normal Tissue

All patients were treated with IMRT, in accordance with the guidelines of the International Commission on Radiation Units and Measurements 50 and 62. The CTV consisted of the regional lymph nodes (common, internal and external iliac, obturator, and presacral), upper vagina, parametrium, cervix, and uterus. The CTV extended from the L4-5 interspace superiorly to 3 cm to the midobturator foramen. The CTV was expanded 0.8 to 1.0 cm uniformly to obtain the pelvic planning target volume. Cervix and fundus were contoured for each patient, as were bladder, rectum, intestine, and sigmoid.[11] We also contoured the gross tumor volume (GTV) and uterus (CTV-T) to evaluate the regression of the target and the movement of uterus and CTV. The CTV should comprise GTV, cervix, uterus, upper vagina, parametrium, and pelvic nodes (obturator, common, internal, and external iliac). We mainly used CBCT to contour the tumor target and OAR, and magnetic resonance imaging (MRI) and computed tomography (CT) were both taken as only subsidiary references. In order to measure the volume of GTV more precisely, weekly MRI images were obtained during radiotherapy.[12]

Imaging and Delivery

Patients in the supine position underwent simulations with a customized vacuum immobilization device using a CT simulator (Big Bore CT, Philips Brilliance Pinnacle) with a 5-mm slice thickness scan. To minimize organ motion, and in accordance with standard practice in our department, patients drank 200 mL of water and emptied their bowels 1 hour before the planning CT scan. Each patient had a pelvic CT and MRI (Philips Achieva 3.0 T X-Series MRI System) scan before radiotherapy. Each patient also had weekly CBCT scans performed in the treatment position throughout the course of the external-beam radiation treatment.[13] The serial images were acquired at the radiotherapy dose of 9 Gy/5f, 18 Gy/10f, 27 Gy/15f, 36 Gy/20f, and 48.6 Gy/27f in which every 5 fractions were followed by CBCT and once-weekly pelvic MRI scans. Therefore, the total serial images were 80 CBCTs and 80 MRIs. Each CBCT image was set at the same window/level (800/1200). In our daily practice, each CBCT data set was reconstructed and transferred electronically to a Pinnacle3 treatment planning workstation. Then image fusion was achieved by using CT–CT mutual information.

Volumetric Analysis

The CTV-T and GTV-T were separately contoured using diagnostic imaging information and descriptions from the physical examination. The cervix, uterus, lymph nodes, and structures were contoured on each CT scan using the Pinnacle software suite.[14] We used CT–CT normalized mutual information to proceed with fusion (Pinnacle version 9.2s), and the window/level was 400/800. To ensure that the uterus and cervix were accurately differentiated, the uterus volumes were calculated independently. In addition, cervical volumes were contoured based on T2-weighted MRI images.

Positional Analysis and Evaluation Method

To determine the change in position of the cervix during treatment, DSCs were evaluated between the target and spatial position changes.[15] The DSC similarity method has been widely used for deformation in image segmentation and registration assessment and is defined by Equation 1. Dice similarity coefficients range from 0 to 1, and no overlap indicates agreement. The volumetric changes for targets were calculated using Equation 2. For Equations 1 and 2, V 0f is the volume of the target before radiotherapy and V f is the volume of the nth fraction during IMRT treatment. Greater ΔV values represent greater difference.

Statistics Analysis

Paired t tests were used to compare differences in volumetric changes of organs during treatment. Mixed effects were used to test correlations between bladder and rectal volumes with CTV motion.

Results

Cervical Regression and Evaluation

The cervical contours and measurements of interfraction variation showed dramatic tumor regression and significant positional changes during the course of treatment (Figure 1). The mean GTV-T volume of 79.62 cm3 (range: 42.3-180.3 cm3) at the start of treatment (0f) was reduced to 0.86 cm3 (range: 15.9-31.3 cm3) by the end of treatment (Table 1). On average, the cervical volume was significant different in GTV-T at all treatment points (P < .001).
Figure 1.

Volumetric changes in GTV-T, CTV-T, and clinical target volume (CTV) during therapy.

Table 1.

Tumor Volumes (GTV-T, CTV-T, and CTV) During Therapy (cm3).

FractionMean GTV-T (Range)Mean CTV-T (Range)Mean CTV (Range)
0f79.62 (42.3-180.3)83.72 (36.9-126.2)672.59 (516.3-854.3)
5f61.93 (29.9-149.2)82.01 (31.3-131.3)632.24 (491.4-803.2)
10f45.96 (25.1-97.4)80.65 (25.5-119.8)625.16 (470.3-844.7)
15f33.00 (19.9-55.1)80.72 (27.5-120.7)616.64 (493.6-805.3)
20f26.41 (17.7-40.8)81.08 (35.6-118.9)607.92 (489.5-822.2)
27f20.86 (15.9-31.3)80.23 (28.4-123.5)608.26 (470.9-853.5)

Abbreviation: CTV, clinical target volume.

Volumetric changes in GTV-T, CTV-T, and clinical target volume (CTV) during therapy. Tumor Volumes (GTV-T, CTV-T, and CTV) During Therapy (cm3). Abbreviation: CTV, clinical target volume. The CTV and CTV-T decreased slightly over the course of treatment. The mean CTV went from 672.59 cm3 (range: 516.3-854.3 cm3) to 608.26 cm3 (range: 470.9-853.5 cm3); The CTV-T changed slightly from 83.72 cm3 (range: 36.9-126.2 cm3) to 80.23 cm3 (range: 28.4-123.5 cm3). There were significant differences in the CTV-T volume among the different treatment points (P < .001), but the CTV did not significantly change in volume (P > .05).

Motion of the Cervix and CTV

The location of the cervix in the pelvis varied greatly during treatment (Tables 2 and 3). The volume change rates of GTV-T and CTV gradually increased throughout the treatment course. The mean volume change rate (ΔV) ranged from 23.05% to 70.85% for the GTV-T, 4.71% to 6.78% for the CTV-T, and 5.84% to 9.59% for the CTV (Figure 2). There were significant differences between different treatment points (P < .05).
Table 2.

The Volume Change of Target During Therapy.

FractionMean ΔV GTV-T (Range)Mean ΔV CTV-T (Range)Mean ΔV CTV (Range)
5f23.05 (8.8-46.7)4.71 (0.4-15.2)5.84 (0.3-13.5)
10f40.35 (10.3-57.0)6.08 (0.4-20.0)7.47 (0.1-17.0)
15f55.57 (25.2-76.6)6.12 (0.6-25.4)7.67 (0.4-15.0)
20f64.06 (46.9-82.0)5.14 (0.9-19.5)9.52 (1.0-17.8)
27f70.85 (54.2-87.4)6.78 (1.5-23.1)9.59 (0.1-16.6)

Abbreviation: CTV, clinical target volume.

Table 3.

DSC Changes of GTV-T, CTV-T, and CTV.

FractionMean DSC GTV-T (Range)Mean DSC CTV-T (Range)Mean DSC CTV (Range)
5f0.65 (0.32-0.86)0.48 (0.0-0.92)0.86 (0.75-0.96)
10f0.59 (0.38-0.73)0.59 (0.24-0.85)0.87 (0.76-0.94)
15f0.54 (0.31-0.67)0.56 (0.18-0.89)0.86 (0.75-0.95)
20f0.48 (0.30-0.66)0.50 (0.01-0.88)0.85 (0.77-0.96)
27f0.37 (0.15-0.58)0.46 (0.04-0.77)0.84 (0.77-0.94)

Abbreviations: CTV, clinical target volume; DSC, Dice similarity coefficient.

Figure 2.

The volume change rates of GTV-T, CTV-T and CTV during therapy.

The Volume Change of Target During Therapy. Abbreviation: CTV, clinical target volume. DSC Changes of GTV-T, CTV-T, and CTV. Abbreviations: CTV, clinical target volume; DSC, Dice similarity coefficient. The volume change rates of GTV-T, CTV-T and CTV during therapy.

Positional Analyses

Changes in position of the cervix during treatment, represented by the DSC of the GTV-T, decreased during treatment from 0.65 to 0.37. The mean DSC of the CTV went from 0.46 to 0.59 and the CTV-T went from 0.84 to 0.87. DSC5f was significantly different from DSC15f, DSC20f, and DSC27f (P < .05) but was not significantly different from DSC10f (P > .05; Table 3). The DSC values for CTV-T and CTV did not significantly change during radiotherapy (P > .05). There was a significant correlation between volume and volume change rate (DV) of the GTV among different time points during the radiotherapy (r < 0; P < .001). The ΔV of the bladder negatively correlated with GTV-T (r = −.349), CTV (−.300), and DSC (−.344; P < .05). The ΔV of the GTV-T negatively correlated with the DSC of both bladder (r = −.295) and rectum (−.231; P < .05). The ΔV of the CTV negatively correlated with the DSC of the bladder (r = −.306), rectum (−.357), and small intestine (−.376; P < .05). There was no significant difference or correlation among CTV-T, CTV, and OAR during radiotherapy (P > .05; Figure 3).
Figure 3.

Dice similarity coefficient (DSC) changes of GTV-T, CTV-T, clinical target volume (CTV) during therapy.

Dice similarity coefficient (DSC) changes of GTV-T, CTV-T, clinical target volume (CTV) during therapy.

Discussion

The MRI and the integration of CT can accurately determine the tumor and adjacent normal tissues and organs while a clinically automatic fusion method can avoid the error between the subjective factors and the operator. In this study, we show that the volume and location of the cervix changed significantly during the course of treatment. These anatomical changes must be taken into account when planning radiation therapy, particularly when image-based inverse planning (image-guided radiotherapy) is used to design highly conformal radiation therapy. Tumor volume is an important prognostic factor for local control and survival in cervical cancer. The MRI has been reported to be more precise than any other imaging modality for uterine tumors. It has been previously shown that tumor volume can be measured more precisely using MRI, and tumor regression can be accurately evaluated by sequential MRI obtained during radiotherapy.[16] In our study, there was a significant difference in GTV-T volume during the treatment fractions (P < .001). Tumor regression was obvious during the 10 fraction (10f) and 15 fraction (15f) treatments, so the best time to change the radiotherapy plan is between the second and third week. We found that the CTV and uterus volumes decreased slightly over the course of treatment (Figure 2). There were significant differences in the uterus volume among the different treatment points (P < .001), but the CTV did not significantly change in volume (P > .05). Our study, based on the images of serial CT scans, showed cervical regression and motion in patients during treatment. Our results are consistent with the findings of other studies. Lee et al [17] documented rapid involution of the cervix during chemotherapy/radiation therapy, based on physical examinations. van de Bunt et al [18] observed rapid tumor regression by MRI, after radiation treatment with 30 Gy: a 50% reduction in tumor diameter was achieved after a median of 21 days. We also observed an average 10% regression in CTV, similar to that observed by van de Bunt et al [19] who estimated the average change in CTV to be 18%, based on pre- and posttreatment MRI in 14 patients during radiotherapy. Tumor regression during radiotherapy can cause increased uterine activity and dramatic changes in tumor position.[19,20] Most studies showed that the position of cervix shifted less than uterus. In our study, we showed that the volume change rate of GTV-T and CTV gradually increased with the increase in the fraction of radiotherapy. The DSC was only used for the evaluation of internal positional change in our study. In addition, ΔV was taken as reference for tumor volume change. Concretely, DSC was used to compare volumes of interest in the reference image to the corresponding volumes in the moving image after deformation. The DSC indicates the overlapping ratio between the 2 volumes of interest. It has been shown that the use of the DSC is appropriate for comparing image registrations that range from 0 to 1, the latter indicating overlap and perfect agreement,[21] with MRI studies. This suggests that DSC values >0.70 represent good agreement.[22] If the DSC is smaller, the greater the difference in the original target space position, the less the IMRT isodose line surrounding the target. Therefore, a change in the DSC can be used to predict whether IMRT plans need to be modified, and ΔV can be used to predict tumor volume change. Our results show that the DSC of GTV gradually decreased and correlated with increasing fractions of radiotherapy. There was a significant correlation between the volume and volume change rate (DSC) of the GTV among different time points during the radiotherapy (P < .001). There was no significant difference or correlation among CTV-T, CTV, and OAR during radiotherapy. In fact, DSC was used for the evaluation of spatial motion, and the less of DSC value, the more the change in spatial motion. Thus, the tumor target will be inevitably spared by IMRT. In this study, we observed that tumor regression and spatial location changes were the most obvious during the second and third weeks. This was also observed in previous studies using MRI, which suggests that the best time to modify radiation treatment planning is in the second or third week,[23] and online adaptive radiotherapy might be necessary to manage interfraction motion and volume regression of targets.[24]

Conclusion

There are large variations in GTV and CTV position in patients with cervical cancer. Dramatic tumor regression and significant positional changes during the course of treatment were observed. The best time to change the radiotherapy plan is at 2-3 weeks. The primary tumor volume, volume change rate, and DSC correlate with greater treatment fractions. Therefore, our study supports the need to develop adaptive therapy approaches to improve therapeutic efficacy and outcomes of radiotherapy for cervical cancer.
  22 in total

1.  Daily online cone beam computed tomography to assess interfractional motion in patients with intact cervical cancer.

Authors:  Neelam Tyagi; John H Lewis; Catheryn M Yashar; Daniel Vo; Steve B Jiang; Arno J Mundt; Loren K Mell
Journal:  Int J Radiat Oncol Biol Phys       Date:  2010-11-23       Impact factor: 7.038

2.  Consensus guidelines for delineation of clinical target volume for intensity-modulated pelvic radiotherapy for the definitive treatment of cervix cancer.

Authors:  Karen Lim; William Small; Lorraine Portelance; Carien Creutzberg; Ina M Jürgenliemk-Schulz; Arno Mundt; Loren K Mell; Nina Mayr; Akila Viswanathan; Anuja Jhingran; Beth Erickson; Jennifer De los Santos; David Gaffney; Catheryn Yashar; Sushil Beriwal; Aaron Wolfson; Alexandra Taylor; Walter Bosch; Issam El Naqa; Anthony Fyles
Journal:  Int J Radiat Oncol Biol Phys       Date:  2010-05-14       Impact factor: 7.038

Review 3.  A systematic review of organ motion and image-guided strategies in external beam radiotherapy for cervical cancer.

Authors:  R Jadon; C A Pembroke; C L Hanna; N Palaniappan; M Evans; A E Cleves; J Staffurth
Journal:  Clin Oncol (R Coll Radiol)       Date:  2014-02-22       Impact factor: 4.126

4.  Conventional, conformal, and intensity-modulated radiation therapy treatment planning of external beam radiotherapy for cervical cancer: The impact of tumor regression.

Authors:  Linda van de Bunt; Uulke A van der Heide; Martijn Ketelaars; Gerard A P de Kort; Ina M Jürgenliemk-Schulz
Journal:  Int J Radiat Oncol Biol Phys       Date:  2005-06-22       Impact factor: 7.038

5.  Inter- and intrafractional tumor and organ movement in patients with cervical cancer undergoing radiotherapy: a cinematic-MRI point-of-interest study.

Authors:  Philip Chan; Robert Dinniwell; Masoom A Haider; Young-Bin Cho; David Jaffray; Gina Lockwood; Wilfred Levin; Lee Manchul; Anthony Fyles; Michael Milosevic
Journal:  Int J Radiat Oncol Biol Phys       Date:  2007-12-31       Impact factor: 7.038

6.  Rapid involution and mobility of carcinoma of the cervix.

Authors:  Christopher M Lee; Dennis C Shrieve; David K Gaffney
Journal:  Int J Radiat Oncol Biol Phys       Date:  2004-02-01       Impact factor: 7.038

7.  Comparison of 12 deformable registration strategies in adaptive radiation therapy for the treatment of head and neck tumors.

Authors:  Pierre Castadot; John Aldo Lee; Adriane Parraga; Xavier Geets; Benoît Macq; Vincent Grégoire
Journal:  Radiother Oncol       Date:  2008-05-22       Impact factor: 6.280

8.  Predicting outcomes in cervical cancer: a kinetic model of tumor regression during radiation therapy.

Authors:  Zhibin Huang; Nina A Mayr; William T C Yuh; Simon S Lo; Joseph F Montebello; John C Grecula; Lanchun Lu; Kaile Li; Hualin Zhang; Nilendu Gupta; Jian Z Wang
Journal:  Cancer Res       Date:  2010-01-12       Impact factor: 12.701

9.  Cervix regression and motion during the course of external beam chemoradiation for cervical cancer.

Authors:  Beth M Beadle; Anuja Jhingran; Mohammad Salehpour; Marianne Sam; Revathy B Iyer; Patricia J Eifel
Journal:  Int J Radiat Oncol Biol Phys       Date:  2008-05-29       Impact factor: 7.038

10.  Retrospective feasibility study of simultaneous integrated boost in cervical cancer using Tomotherapy: the impact of organ motion and tumor regression.

Authors:  Fernanda G Herrera; Sharon Callaway; Ela Delikgoz-Soykut; Mehtap Coskun; Laetitia Porta; Jean-Yves Meuwly; Joao Soares-Rodrigues; Leonie Heym; Raphael Moeckli; Mahmut Ozsahin
Journal:  Radiat Oncol       Date:  2013-01-03       Impact factor: 3.481

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  3 in total

Review 1.  Problems and solutions in IGRT for cervical cancer.

Authors:  Iván Ríos; Ilse Vásquez; Elsa Cuervo; Óscar Garzón; Johnny Burbano
Journal:  Rep Pract Oncol Radiother       Date:  2018-05-26

2.  Comparative evaluation of image registration methods with different interest regions in lung cancer radiotherapy.

Authors:  Xiaohui Cao; Ming Liu; Fushan Zhai; Nan Li; Feng Li; Chaoen Bao; Yinliang Liu; Gang Chen
Journal:  BMC Med Imaging       Date:  2019-12-26       Impact factor: 1.930

3.  A model to guide the management and decision of re-planning during radiotherapy for cervical cancer.

Authors:  Wei Zhang; Xiuhua Li; Tingting Lin; Fang Ma; Xiaoyu Ma; Xiaoli Wu; Yingming Sun; Xiaoge Sun
Journal:  Transl Cancer Res       Date:  2021-12       Impact factor: 1.241

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