This article attempts to employ Ktrans obtained from dynamic contrast-enhanced MR studies as a biomarker to establish prognosis in patients with squamous cell carcinomas of the head and neck. The authors measured the period of disease-free survival in 57 patients from the end date of chemoradiation therapy (either death or last clinical visit were taken as end points). Pretreatment Ktrans and nodal volume were computed from the largest metastatic node, and median pretreatment Ktrans and volume were used to divide patients into 2 groups. Thirteen of 57 patients had died by the last follow-up. Patients with higher pretreatment Ktrans values had prolonged disease-free survival compared with patients with lower Ktrans values. However, there was no significant difference in disease-free survival when nodal volume was used as a predictor. The conclusion: pretreatment Ktrans may be a useful prognostic marker in head and neck SCC.
Abstract
BACKGROUND AND PURPOSE:
Patients with HNSCC have a poor prognosis and development of imaging biomarkers that predict long-term outcome might aid in planning optimal treatment strategies. Therefore, the purpose of the present study was to predict disease-free survival in patients with HNSCC by using pretreatment Ktrans measured from dynamic contrast-enhanced MR imaging.
MATERIALS AND METHODS:
Sixty-six patients with HNSCC were recruited from January 2005 to October 2008. Three patients were excluded because they underwent upfront neck dissection, and 6 patients were excluded due to suboptimal MR imaging data or being lost to follow-up. Disease-free survival was measured in the remaining 57 patients from the end date of chemoradiation therapy. In patients who died, the end point was the date of death, while in surviving patients the date of last clinical follow-up was used as the end point. Pretreatment Ktrans and nodal volume were computed from the largest metastatic node, and median pretreatment Ktrans and volume were used to divide patients into 2 groups (at or above the threshold value [group I] and below the threshold value [group II]. Disease-free survival was analyzed by the Kaplan-Meier method, and the results were compared by using a logrank test with Ktrans and nodal volume as predictors. A P value < .05 was considered significant.
RESULTS:
Thirteen of 57 patients had died of HNSCC by the last follow-up period (March 31, 2009). Patients with higher pretreatment Ktrans values had prolonged disease-free survival compared with patients with lower Ktrans values (P = .029). However, there was no significant difference in disease-free survival when nodal volume was used as a predictor (P = .599).
CONCLUSIONS:
Pretreatment Ktrans may be a useful prognostic marker in HNSCC.
HNSCC remain a significant cause of mortality.1 Despite advances in multidisciplinary management, the 5-year survival rate of patients with HNSCC has only improved marginally. A meta-analysis reported only 5% improvement in survival with induction chemotherapy compared with patients treated with surgery and/or radiation therapy alone.2,3 The presence of metastatic cervical lymph nodes is considered a negative prognostic indicator in the treatment of HNSCC.3,4 It has been reported that the presence of a single neoplastic neck node reduces the disease-free survival by 50% and that the presence of bilateral nodes further reduces the survival rate.3,4 Consequently, assessment of the biology of nodal metastases is of prime importance and may aid in improving the clinical management of these patients. Development of noninvasive imaging biomarkers before initiation of treatment of HNSCC might assist in planning optimal treatment strategies, which may lead to a more favorable therapeutic outcome.
Patients with HNSCC with elevated tumor blood flow/blood volume respond more favorably to chemoradiation therapy than patients with low blood flow/volume.5–9 DCE-MRI studies yield a parameter called Ktrans, which is a measure of the first-order bidirectional volume transfer constant of contrast agent exchange between the intravascular plasma and tumor interstitium compartments. The pretreatment Ktrans, which reflects tumor perfusion/permeability, has been shown to predict nodal treatment response to chemoradiation therapy in patients with HNSCC.10 These studies imply that tumor vascularity may be an important predictor of local treatment response and disease control in HNSCC because elevated blood flow may permit improved delivery of therapeutic agents to the tumor. While other imaging modalities such as CT and PET have also been proposed for predicting prognosis and survival in patients with HNSCC,6,11–13 lower soft tissue contrast and exposure to radiation associated with these modalities14 call for an alternate imaging technique. Since DCE-MRI provides high temporal- and spatial-resolution maps of tissue perfusion/permeability, we evaluated the potential of pretreatment Ktrans values from the metastatic lymph node in predicting disease-free survival (patients who survived a definite period of time without evidence of disease after chemoradiation therapy) in patients with HNSCC in this study.
Materials and Methods
Patients
This retrospective study was approved by the institutional review board, and written informed consent was obtained from each patient enrolled in the study. Patients were included in the study if they had prior CT/MR imaging examinations and biopsies confirming the presence of HNSCC on histopathology and had a metastatic cervical lymph node. Patients were excluded from the study if they had received any chemotherapy or radiation therapy previously, had any prior history of cancer other than HNSCC, had undergone upfront selective neck dissection, or had a major medical disorder such as poorly controlled diabetes mellitus or hypertension. On the basis of physical examinations and CT/MR imaging reports, all patients were assessed for the presence of metastatic cervical lymph nodes by a trained neuroradiologist and a radiation oncologist. In accordance with our inclusion criteria, the study initially comprised a cohort of 66 patients (mean age, 59.65 ± 10.37 years; 54 men and 12 women) newly diagnosed with HNSCC and recruited from January 2005 to October 2008. Tumor location and staging from these patients at initial presentation are summarized in the Table. The most common locations were the base of the tongue (40%), tonsil (25%), and larynx (14%). In 21% of patients, tumors were located on other less common sites or unknown sites. Three patients who underwent upfront neck dissection were excluded from the study. In addition, 6 patients were excluded from the data analysis because either the MR imaging data were corrupted from dental artifacts or these patients were lost to follow-up.
Characteristics | No. of Patients (N = 66) |
---|---|
Tumor location | |
Base of tongue | 26 |
Tonsil | 16 |
Larynx | 9 |
Vallecula | 2 |
Nasopharynx | 2 |
Oropharynx | 2 |
Hypopharynx | 1 |
Unknown primary | 8 |
TNM staging | |
TxN2M0 | 10 |
TxN3M0 | 3 |
T0N2M0 | 1 |
T1N2M0 | 2 |
T2N1M0 | 1 |
T2N2M0 | 17 |
T2N3M0 | 2 |
T3N2M0 | 10 |
T4N1M0 | 2 |
T4N2M0 | 16 |
T4N3M0 | 2 |
All patients were treated with chemoradiation therapy except for the 3 patients who elected to have upfront neck dissection. Patients were treated with a total dose of 7040 cGy in 32 fractions at a daily dose of 220 cGy per fraction, which was delivered for 44 days to the areas of gross disease. The chemotherapy regimen included either concurrent chemotherapy alone or induction chemotherapy followed by concurrent chemotherapy. Induction chemotherapy comprised 1–3 cycles of cisplatin (75 mg/m2), docetaxol (75 mg/m2), and 5-florouracil (1000 mg/m2) or 8 cycles of cetuximab (400 mg), paclitaxel (90 mg), and carboplatin (155.1–239.8 mg). Concurrent chemotherapy comprised cisplatin (100 mg/m2) or immunotherapy with 400 mg/m2 of cetuximab 3–7 days before radiation therapy followed by weekly 250 mg/m2 cetuximab on days 1, 8, 15, 22, 29, 36, and 43 of the radiation treatment.
Of the 57 patients who were finally included in the study, 33 (57.89%) did not undergo neck dissection, while 24/57 (42.11%) underwent neck dissection within 6 months after the end of chemoradiation therapy. Of these 24 patients, only 5 had viable lymph nodes on histopathology and 19 patients had biopsies negative for the presence of any viable carcinoma cells from the surgically removed lymph nodes.
Data Acquisition
All patients underwent MR imaging before surgery, radiation, or chemotherapy. The MR imaging study was performed by using a 1.5T Sonata scanner (Siemens, Erlangen, Germany) (n = 37) or a 3T Magnetom Trio scanner (Siemens) (n = 29). A neck array coil or a neurovascular coil was used for 1.5T and 3T scanners, respectively. The diagnostic and structural imaging protocol on both MR imaging systems included axial T2-weighted images (TR/TE = 4000/131 ms, FOV = 260 × 260 mm2, matrix size = 384 × 512, section thickness = 5 mm, FA = 120°, BW = 130 Hz, NEX = 1), and axial T1-weighted images (TR/TE = 600/10 ms, FOV = 260 × 260 mm2, matrix size = 384 × 512, section thickness = 5 mm, FA = 90°, BW = 130 Hz, NEX = 1). Eight axial sections with FOV = 260 × 260 mm2 and section thickness = 5 mm were selected to cover the largest metastatic cervical lymph node for measurement with T1 and DCE-MRI.
The DCE-MRI protocol used in this study was described previously.10,15 Briefly, DCE-MRI was performed by using a fast 3D spoiled gradient-echo sequence, which was modified to acquire 8 angle-interleaved subaperture images from the full-echo radial data.16 Imaging parameters included the following: 256 readout points/view, 256 views (32 views/subaperture, 8 subapertures), FOV = 260 × 260 mm2, 8 axial sections, section thickness = 5 mm, FA = 20°, receiver BW = 510 Hz/pixel, TR/TE = 5.0/4.2 ms. Fat saturation was applied once every 8 excitations. Spatial saturation was applied once every 32 excitations to minimize the flow effect while minimizing the scanning time. The scanning time of full-resolution data was approximately 20 seconds with fat and spatial saturations. This data-acquisition scheme resulted in a temporal resolution of 2.5 seconds for each subaperture image with full spatial resolution of 256 × 256 by using a dynamic k-space−weighted image reconstruction contrast algorithm. Baseline preinjection images were acquired for 1 minute. A single dose of gadodiamide (Gd-DTPA) (Omniscan; Nycomed, Oslo, Norway) at a concentration of 0.1 mmol/kg body weight was injected at the rate of 1 mL/s into the antecubital vein, followed by a saline flush with a power injector (Spectris; Medrad, Indianola, Pennsylvania), during which scanning was continued for another 9 minutes.
Image Processing
All images (T2, T1, postcontrast T1-weighted images, and DCE-MRI-derived Ktrans maps) were coregistered by using a 2-step nonrigid image registration technique before data analysis based on the algorithms described previously.15,17 Regions of interest were drawn on the solid-appearing portion of the nodal mass by a trained neuroradiologist by using T2-weighted, T1-weighted, or postcontrast T1-weighted images, avoiding necrotic/cystic or hemorrhagic parts as well as surrounding blood vessels on all imaging sections encompassing the node. Pharmacokinetic analysis of the DCE-MRI data was performed for each voxel in the selected region of interest by using the shutter-speed model reported earlier.10,15 These regions of interest were also used for the volumetric analysis.
Median pretreatment Ktrans values were computed from the largest metastatic nodal mass by using only the central 4 sections to avoid erroneous results from wrap-around artifacts, typically observed on the end sections of the 3D images. Representative pretreatment structural MR images and a color-coded pharmacokinetic parametric Ktrans map, overlaid on a postcontrast T1-weighted image from a patient, are shown in Fig 1.
Clinical Follow-Up and Data Analysis
The follow-up period was measured in 57 patients from the end date of chemoradiation therapy. Visits to physicians and laboratory, radiologic, or nuclear medicine reports were evaluated to find the date of last contact, and clinical records were studied to ascertain the cause of death. The clinical end point was the date of death from any cause in case of deceased patients and the time of last contact or date of last observation (March 31, 2009) in surviving patients. By the end of the last follow-up period, 17 of 57 (29.82%) patients had died. Of these 17 patients, 4 died of diseases unrelated to HNSCC (cardiac arrest, n = 2; respiratory failure, n = 1; and broken neck, n = 1) and were thus censored from the disease-free survival analysis. The remaining 13 patients died of HNSCC. The median follow-up for the surviving patients (n = 40) was 30 months (range, 13–48 months).
In the absence of an established cutoff value, the median pretreatment Ktrans and volume from the metastatic nodal mass were considered as threshold values to separate the patients into 2 groups (at or above the threshold value [group I] and below the threshold value [group II]). Using Ktrans and nodal volume as predictors, we estimated disease-free survival for the 2 groups by the Kaplan-Meier method and compared it by using a logrank test. A P value <.05 was considered significant. Hazard ratio and 95% CI were calculated for each parameter.
A subanalysis was performed to assess the bias introduced by neck dissection on disease-free survival. In this analysis, we separated the patients into 2 categories: 1 without neck dissection and another with neck dissection. Using neck dissection as an analytical parameter, we estimated disease-free survival between these 2 categories by the Kaplan-Meier method and compared it by using a logrank test. A P value < .05 was considered significant. Hazard ratio and 95% CI were calculated. All data analyses were performed by using a statistical tool (Statistical Package for the Social Sciences for Windows, Version 15.0; SPSS, Chicago, Illinois).
Results
The median pretreatment Ktrans from 57 patients was 0.41 minutes−1 and was used as the threshold Ktrans value. Of these 57 patients, 29 had Ktrans values at or higher than the median Ktrans, and 3 patients died in this group during follow-up. The mean Ktrans value of these 29 patients was 0.79 ± 0.39 minutes−1 with a median of 0.68 minutes−1. On the other hand, Ktrans values lower than the median Ktrans were observed in 28 patients, and 10 patients died in this group, with a mean Ktrans value of 0.17 ± 0.09 minutes−1 and a median of 0.15 minutes−1. Univariate analysis revealed that patients with higher Ktrans values had significantly prolonged disease-free survival compared with patients with lower Ktrans values (P = .029, Fig 2). The hazard ratio was 3.81 (95% CI, 1.04–13.87).
The median pretreatment nodal volume was 13.45 cm3, and 7 of 29 patients died in the group that had nodal volumes at or higher than the threshold value (mean volume = 32.13 ± 19.2 cm3, median = 28.25 cm3). In patients with lower than threshold nodal volumes (n = 28), 6 patients died during the follow-up period. The mean nodal volume in this group was 6.41 ± 3.60 cm3, with a median volume of 6.83 cm3. The disease-free survival for patients with lower nodal volumes was not significantly different from that in the patients with higher pretreatment nodal volumes (P = .599, Fig 2). The hazard ratio was 0.747 (95% CI, 0.25–2.22).
When a subanalysis was performed to evaluate the bias introduced by neck dissection, no significant difference in the disease-free survival between the patients who underwent neck dissection and patients who did not undergo neck dissection following chemoradiation therapy was observed (P = .092). The hazard ratio was 0.365 (95% CI, 0.109–1.22). Of the 24 patients who had neck dissection, 4 patients died, whereas of the 33 patients who did not undergo neck dissection, 9 patients died of HNSCC.
Discussion
Our data indicate that high pretreatment perfusion/permeability of the metastatic HNSCC nodes is significantly associated with better disease-free survival in this patient population. It is often difficult to predict treatment outcome in patients at the time of initial presentation, when critical decisions about selection of the optimal treatment strategy are made. Therefore, identification of risk factors predictive of treatment outcome, as reported in the present study, may aid in identification of high-risk patients who are unlikely to benefit from chemoradiation therapy. These patients can then be considered for alternative experimental therapies.
Several imaging modalities have been proposed for prognosis of treatment response and survival outcome in patients with HNSCC. An earlier study using dynamic CT perfusion parameters did not observe any prognostic significance of tumor perfusion in predicting the cause-specific survival in patients with HNSCC.6 FDG-PET has shown promising results in predicting the survival rate.11–13 Using a threshold pretreatment SUV of 9.0 from the primary tumor, Minn et al11 reported significantly lower survival rates in patients with HNSCC and higher SUVs. These findings have been replicated by several other investigators with a general consensus that elevated baseline SUV of the primary tumor indicates poor local control along with shorter survival.12,13 However, nodal SUV has not been extensively studied for prediction of survival outcome due to smaller size and complex biologic characteristics responsible for development, growth, and invasiveness of the metastatic nodal masses.18
A decrease in FDG uptake from the metastatic node did not correlate with positive survival outcome in patients with HNSCC.12,13 Moreover, lower spatial resolution of images and problems with discriminating neoplastic processes from inflammation, reactive lymph nodes, obstructive glands, brown fat, or vascular abnormalities lead to false-positive SUVs from the nodal neck region,14 limiting the use of FDG-PET in evaluating nodal masses. Therefore, alternative imaging methods that can evaluate nodal tumor physiology should be considered.
The relatively higher resolution obtained by DCE-MRI promises to be a powerful tool in assessing tumor hemodynamics with higher sensitivity and specificity. The Ktrans parameter reflects a combination of tumor blood flow and microvascular permeability.19 Several studies have reported the use of DCE-MRI in patients with HNSCC for assessment of local treatment response, indicating that tumors with elevated baseline blood flow/blood volume demonstrate a favorable response to therapy.7,9,10 Hoskin et al9 reported a good correlation between local tumor control and maximum tumor enhancement following accelerated radiation therapy in patients with advanced head and neck cancer. In a related study, Zima et al7 reported that patients with higher pretreatment blood volume and blood flow measurements from the primary tumor demonstrated better response and reduction in tumor volume after induction chemotherapy. Cao et al8 observed a significant increase in tumor blood volume during the early course of chemoradiation therapy in patients who exhibited local control but there was no change in blood volume in patients who demonstrated local failure from chemoradiation. These studies focused only on prediction of short-term local therapeutic response, and there is no evidence to support the prognostic value of DCE-MRI in predicting long-term survival in HNSCC, which may be different from the short-term response.
DCE-MRI has also been used to predict long-term survival in patients with high-grade gliomas, small cell lung cancer, and breast and cervical cancer.20–23 Loncaster et al24 reported that patients with cervical cancer with high pretreatment contrast enhancement had significantly improved disease-free survival after radiation therapy. In a recent study, higher baseline Ktrans values were reported to have a significant association with progression-free survival in patients with renal cell carcinoma undergoing sorafenib therapy.25 These studies indicate that higher pretreatment tumor Ktrans values may predict prolonged survival. Our results are in agreement with these studies in that we also observed that higher pretreatment Ktrans of the nodal mass predicted longer survival in patients with HNSCC.
The biologic basis for any tumor with a high baseline perfusion to exhibit better prognosis or response to radiation therapy remains largely speculative. Because tumor oxygenation has been shown to influence the radiosensitivity of HNSCC,26 it can be intuitively postulated that poor baseline nodal perfusion is associated with nodal radioresistance and poor survival as observed in the present study. Tumor vasculature and oxygenation are critical factors that markedly influence the efficacy of chemoradiation therapies, particularly those depending on cell cycle and free radical formation.27 It is hypothesized that higher tumor blood flow will result in better oxygenation and drug delivery to the target site.28 On the other hand, hypoxia (decreased blood flow) enhances chemoresistance and impedes delivery of therapeutic agents.29
However, the relationship between HNSCC perfusion and hypoxia may be complex as recently described by several investigators30,31 who used dynamic [18F]luoromisonidazole PET to assess the perfusion of the primary tumor while simultaneously assessing tumor hypoxia through misonidazole binding. These investigators demonstrated that HNSCC tumors might have significant heterogeneous regions characterized by various perfusion-oxygenation relationships. These include regions characterized by poor perfusion with high levels of hypoxia, regions with high perfusion with very little detectable hypoxia, and even areas of good tumor perfusion along with hypoxia. Tumors with high perfusion can be associated with functionally hypoxic regions, suggesting that these areas may not significantly contribute to an adverse prognosis through a stress response. Alternatively, these regions have been shown to represent areas that may be more apt to undergo successful radiation therapy−induced reoxygenation.32
Increased disease-free survival in patients with higher Ktrans, as observed in the present study, may be explained by the fact that a tumor with elevated blood flow and permeable vasculature has higher oxygenation levels, resulting in better access to chemotherapeutic drugs28 and radiosensitivity.33 On the other hand, lower Ktrans values indicate a heterogeneous blood supply and poor survival. The insufficient blood flow and inadequate oxygen supply result in stabilization and overexpression of hypoxia-inducible factor-1α.34 These tumors may also exhibit high interstitial fluid pressure and sluggish perfusion with regions of hypoxia, fibrosis, and acidosis.35 The abnormal hemodynamic environment of such tumors may render them less sensitive to cancer therapies.35 It has also been reported that hypoxic squamous carcinoma cells show resistance to radiation therapy, cytostatic drugs, and conventional surgery.36 Taken together, these observations provide evidence that the higher degree of hypoxia and lower perfusion rate, as reflected by low pretreatment Ktrans from the nodal mass, may indicate an adverse tumor microenvironment and, subsequently, poor survival, as observed in the present study.
Preclinical studies in animal tumor models suggest that improvement in blood flow and pruning of immature functionally abnormal vessel sprouts may enhance the delivery of cytotoxic agents, with subsequent increases in the efficacy of chemotherapy and radiation therapy.37,38 Initial clinical trials in patients with advanced-stage head and neck cancers treated with bevacizumab reported improved survival.39 These early results substantiate the hypothesis that vascular normalization and improvement in the blood supply to the tumor can result in an improvement in therapeutic efficacy and survival outcome.
We did not observe a significant relationship between initial nodal volume and disease-free survival, though patients with larger nodal masses tended to show lower disease-free survival. Typically, large and bulky nodal masses are heterogeneous, with a higher degree of necrosis. Thus, it may be more difficult to deliver chemotherapeutic agents to these masses because they might have outstretched their blood supply. Some studies have indicated that the volume of the primary tumor correlates with treatment outcome in patients with advanced HNSCC with the exception of oropharyngeal tumors.40,41 However, it is unclear whether nodal volume predicts survival in patients with head and neck cancers. While some studies suggested deteriorating regional control42,43 and worse disease-specific survival44 in patients with large nodes, other studies did not find any relationship between nodal volume and disease-specific survival.45,46 These contradictory studies indicate that measurement of tumor volume may not be sensitive in predicting the long-term prognosis and survival in patients with HNSCC. On the other hand, physiologically sensitive parameters such as Ktrans might be more useful.
Lymphadenopathy in the neck is a well-established and most significant determinant of prognosis in patients with HNSCC; therefore, we focused on the Ktrans value of the metastatic node for prediction of disease-free survival in patients with HNSCC. However, a similar analysis of tumors at the primary site would also be important, and future studies may be needed to assess the utility of Ktrans values from the primary tumor in predicting survival in patients with HNSCC. In the present study, we did not assess the potential of nodal staging, performance status, or molecular markers in predicting survival outcome in patients with HNSCC although these parameters could also affect survival. In the present study, >90% of the patients had an N2 stage; thus, we did not have the variance and power to assess the role of nodal staging as a predictor of survival. Some studies have reported patients with similar clinical prognostic features exhibiting variable responses and survival rates.47,48 Therefore, alternate parameters that can stratify patients for optimal treatment protocol are desirable, and we believe that Ktrans derived from DCE-MRI can be 1 such parameter.
In clinical settings, assessment of treatment strategy is made with the curative intent of patients in mind. In the present study, even though all patients received the same dose and regimen of radiation therapy, some patients underwent neck dissection within 6 months after chemoradiation therapy, while others were treated with chemoradiation therapy alone and did not undergo neck dissection. Also the patients underwent different chemotherapy doses and regimens. These differences in treatment may play a confounding role in disease-free survival analysis. To test the bias of neck dissection in predicting disease-free survival, we performed a subanalysis of patients without neck dissection and with neck dissection. When neck dissection was used to predict disease-free survival between patients who underwent neck dissection and patients who did not undergo dissection, irrespective of pretreatment Ktrans and nodal volume values, no significant difference in disease-free survival between the 2 groups of patients was observed (P = .092). This finding indicates that neck dissection does not have an influence on the disease-free survival in our cohort of patients.
Conclusions
Our data suggest that patients with HNSCC with higher pretreatment Ktrans values from the metastatic lymph nodes respond well to chemoradiation therapy, leading to better disease-free survival; thus, this parameter may be used for better stratification of nonresponsive patients for alternative treatment strategies.
Acknowledgments
The support of MR imaging coordinator Alex Kilger and technologists Doris Cain, Tonya Kurtz, and Patricia O' Donnell is gratefully acknowledged. We also thank Mark Rosen, MD, Department of Radiology, University of Pennsylvania, for his invaluable and helpful suggestions during the preparation of this manuscript.
Abbreviations
- BW
bandwidth
- CI
confidence interval
- DCE-MRI
dynamic contrast-enhanced MR imaging
- FA
flip angle
- FDG
fluorodeoxyglucose
- HNSCC
squamous cell carcinomas of the head and neck
- Ktrans
volume transfer constant
- PET
positron-emission tomography
- SUV
standard uptake value
- TNM
Tumor, Node, Metastases
Footnotes
This work was funded by the National Institutes of Health, grant R01-CA102756.
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