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Diagnostic value of retrospective PET-MRI fusion in head-and-neck cancer

BMC Cancer volume 14, Article number: 846 (2014) Cite this article

Abstract

Background

To assess the diagnostic value of retrospective PET-MRI fusion and to compare the results with side-by-side analysis and single modality use of PET and of MRI alone for locoregional tumour and nodal staging of head-and-neck cancer.

Methods

Thirty-three patients with head-and-neck cancer underwent preoperative contrast-enhanced MRI and PET/CT for staging. The diagnostic data of MRI, PET, side-by-side analysis of MRI and PET images and retrospective PET-MRI fusion were systematically analysed for tumour and lymph node staging using receiver operating characteristic (ROC) analysis. The results were correlated to the histopathological evaluation.

Results

The overall sensitivity/specificity for tumour staging for MRI, PET, side-by-side analysis and retrospective PET-MRI fusion was 79%/66%, 82%/100%, 86%/100% and 89%/100%, respectively. The overall sensitivity/specificity for nodal staging on a patient basis for MRI, PET, side-by-side analysis and PET-MRI fusion was 94%/64%, 94%/91%, 94%/82% and 94%/82%, respectively. MRI, PET, side-by-side analysis and retrospective image fusion were associated with correct diagnosis/over-staging/under-staging of N-staging in 70.4%/18.5%/11.1%, 81.5%/7.4%/11.1%, 81.5%/11.1%/7.4% and 81.5%/11.1%/7.4%, respectively.

ROC analysis showed no significant differences in tumor detection between the investigated methods. The Area Under the Curve (AUC) for MRI, PET, side-by-side analysis and retrospective PET-MRI fusion were 0.667/0.667/0.702/0.708 (p > 0.05). The most reliable technique in detection of cervical lymph node metastases was PET imaging (AUC: 0.95), followed by side-by-side analysis and retrospective image fusion technique (AUC: 0.941), which however, was not significantly better then the MRI (AUC 0.935; p > 0.05).

Conclusions

We found a beneficial use of multimodal imaging, compared with MRI or PET imaging alone, particular in individual cases of recurrent tumour disease. Side-by-side analysis and retrospective image fusion analysis did not perform significantly differently.

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Background

Clinical examination and imaging is routinely performed for the staging of head-and-neck cancer (HNC) in order to establish the tumour extent and size, to assess nodal involvement, to evaluate detailed tumour spread, e.g. bone infiltration and perineural infiltration, and to identify distant metastasis [1]. Accurate imaging is essential for staging, treatment planning and follow-up, since surgical intervention and neo- or adjuvant therapy modalities depend on the outcome of the diagnostic results [2]. For head-and-neck tumours, magnetic resonance imaging (MRI) and computed tomography (CT) provide accurate anatomical information with good resolution but have well-known limitations, especially in the staging of the nodal involvement of the neck [3, 4] and recurrent disease [5, 6]. Furthermore, the differentiation between malignant bone infiltration and infectious bone reaction is also of poor accuracy [7]. An advantage of MRI is that fewer artefacts occur from (dental) metallic implants, which often interfere with CT interpretation [8].

Nowadays multimodal imaging by using positron emission tomography/computed tomography (PET/CT) has gained a wide acceptance as a powerful imaging tool, especially in recurrent tumour disease. The combination of morphological and functional imaging (multimodal imaging) has been shown to reduce false positive or false negative results [9, 10]. Driven by the success of PET/CT in HNC treatment [11, 12], hybrid PET/MRI scanners are now available to combine the high soft-tissue contrast of MRI with the molecular and/or metabolic information of PET. Previous reports have described the development of reliable PET/MR imaging protocols [10, 13–15] for HNC staging. However, to date, only a few sequential or fully integrated PET/MRI scanners are in clinical use. Most departments can still only offer the use of the two modalities (PET/CT and MRI) each as a single device. The separately gained images can be additionally analysed in two different ways: 1) side-by-side analysis and 2) retrospective software-based image fusion. The latter can be performed manually by shifting and rotating the images by using landmarks as reference [16, 17] or fully automatically [18]. Retrospective image fusion is, because of its complexity, time-consuming, hardware- and software-dependent and thus problematic in clinical routine. Furthermore, differences in the patient’s position during each imaging process limit the accuracy of the retrospective fusion. On the other hand, this method has been shown to lead to a more precise evaluation and treatment of HNC in complex cases [14, 19].

The purpose of this retrospective study was to assess the clinical value of retrospective PET-MRI fusion and to compare the diagnostic accuracy with side-by-side analysis MRI and 18F-FDG PET alone.

Methods

Ethics statement

The study has been performed in accordance with the Declaration of Helsinki and has been approved from an ethical and legal point of view by the ethical committee of the medical faculty of the Technische Universität München (registration number: 366/14).

Patient population

Thirty-three patients (21 men and 12 women; age range 27–72 years; mean age 57 years) with primary malignant neoplasm (n = 23), recurrent tumour disease (n = 6) and lymph node metastasis in the framework of CUP (cancer of unknown primary) (n = 4) in the head-and-neck region were included in the study. All patients underwent clinically indicated preoperative contrast-enhanced MR imaging and 18F-FDG PET/CT imaging within 14 days (mean three days).

The suspicious lesions/tumours were localised in the oropharynx (n = 5), tongue (n = 5), floor of the mouth (n = 4), hypopharnyx (n = 4), buccal mucosa (n = 2), valleculla (n = 1), tonsil (n = 1) and salivary gland (n = 1). The recurrent tumours were localised in the floor of the mouth (n = 2), tongue (n = 1), parotid gland (n = 1), tonsil (n = 1) and oropharynx (n = 1) (Table 1).

Table 1 Demographic data of the thirty-three enrolled patients, information concerning tumour location and study-relevant information as an overview
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Surgical treatment included the resection of the tumour and uni- or bilateral neck dissection in 28 cases. In five cases with recurrent tumour disease, only the tumour was resected.

18F-FDG PET/CT imaging

PET/CT imaging was performed by using a Siemens Biograph Sensation 64 PET/CT scanner (Siemens Healthcare, Erlangen, Germany) equipped with lutetium oxy-orthosilicate (LSO) crystals. The spatial resolution was 4.4 mm at 1 cm and 5.0 mm at 10 cm from the centre of the transverse FOV (field of view) and the sensitivity was 8.1 kcps/MBq at the centre of the FOV. After at least four hours of fasting, the patients received a weight-dependent intravenous injection of 350–500 MBq of 18F-FDG. Blood glucose levels were checked in all patients, before injection, to be below 150 mg/dl. For attenuation-correction purposes and anatomical correlation, a low-dose CT scan (120 keV, 20 mAs, no i.v.-contrast) was acquired in shallow expiration. When clinically indicated, a diagnostic CT (120 kV, 240 mAs, 0.5 s per rotation, 5 mm slice thickness, portal venous phase 80 s after the injection of 80–120 ml i.v. contrast agent [Imeron 300]) was performed. In patients with a diagnostic CT scan, this scan was used for attenuation correction.

PET scan was performed immediately after CT, with a 3-min acquisition per bed position (6–8), by using a three-dimensional acquisition mode.

MR imaging

Patients underwent MRI in a Magnetom Verio 3 Tesla MRI Scanner (Siemens Medical Solutions, Erlangen, Germany). We obtained unenhanced axial T1-weighted images, enhanced axial T1-weighted and coronal T1-weighted fat-saturated images after gadolinium DTPA injection (Gadolinium-DTPA 0,1 mmol/kg body weight) and T2-weighted fat-suppressed fast-spin-echo (T2-STIR-sequence) images in axial, sagittal and coronal planes in all patients.

Data processing and retrospective PET-MR image fusion

All attenuation-corrected PET and enhanced T1-weighted MRI series were retrospectively fused by using a commercially available software program (3D Fusion, Siemens Medical Solutions, Erlangen, Germany) on a separate Siemens Workstation (Syngo MMWP, Siemens Medical Solutions, Erlangen, Germany). The software allows retrospective interactive fusion of two different tomographical imaging modalities (datasets) acquired at different time points. After initial loading of the MR dataset in the 3D card, the PET dataset was included using the fusion tool. Hereby, a first initial orientation manual alignment has to be performed in order to roughly match prominent anatomical landmarks (cerebellum, spine tonsils) of the two datasets. After that, the software automatically aligns the two datasets (MR and PET) based on mutual information using the anatomical contours of the loaded datasets (e.g. head, neck etc.). Lastly, fused images were examined and - if necessary - manually fine adjusted for correct alignment by using landmarks such as the cerebellum, the tonsils, the vocal cords and the spine.

Image analysis

Two observers, namely an experienced head-and-neck imaging radiologist and an experienced nuclear medicine physician, retrospectively reviewed all 33 image sets of the enrolled patients independently. According to a structured protocol, they evaluated the images for whether a tumour was benign or malignant, tumour localisation, bone infiltration (T-staging) and metastases to cervical lymph nodes (N-staging) by using a five-point-scaling system: 1 = most likely benign, 2 = probably benign, 3 = equivocal/indeterminate, 4 = probably malignant and 5 = most likely malignant.

Metastases to locoregional lymph nodes were analysed separately with regard to the ipsi- or contralateral side and the presence of metastases was recorded according to the classification described by Robins et al. [20]. In an attempt to imitate a normal clinical set-up, none of the observers was aware of the histopathological findings or follow-up but was fully informed of the clinical history and actual clinical findings of the patients.

In the analysis of MRI, the primary tumour was assessed for loss of symmetry, tissue shifting, abnormal tissue enhancement, inhomogeneity in tissue architecture, bony infiltration or other infiltration of neighbouring structures and abnormal focal-contrast enhancement (T-staging). A lymph node was considered as positive for metastasis if the short-axis axial diameter was >10 mm. If lymph nodes were smaller than 10 mm but showed signs of central necrosis and rim contrast enhancement, extra-capsular extension or obliteration of surrounding fat planes, they were also counted as positive neck nodes (N-staging).

The analysis of the PET images was performed visually. The corresponding CT images were only used for anatomical orientation and were not analysed separately or as PET/CT. For the visual analysis all PET images were scaled at a SUV (standardised uptake value) of five. All non-physiological focally increased 18F-FDG uptake in the head-and-neck region were analysed in detail, according to the five-point-scaling system (see above).

After the separate analysis of PET and MR images, both observers reviewed the imaging data concurrently in a side-by-side fashion on two adjacent screens. Both observers had to agree to a mutual score with regard to T-staging (including bone infiltration) and N-staging according to the five-point-scaling system.

In the third assessment round, both observers analysed the fused PET-MR images and had to again agree to a mutual score regarding the T-staging (including bone infiltration) and N-staging according to the five-point-scaling system.

Histopathological reference

The type and extent of surgical resection of the tumour and the type of the neck dissection was determined by our head-and-neck surgical team on the basis of staging results and estimated risk of occult metastases [21]. An experienced anatomical pathologist performed the histopathological evaluation of the resected tissue. The assessment was based on the TNM-classification system presented by Weber et al. [22]. All patients were rated as Mx as the M-status had no influence on the study design and analysis. Bony infiltration was analysed by direct histological evaluation of the resected bone. If no bone resection was performed and/or the soft tissue specimen next to the tumour was rated as R0, the adjacent bony structures next to the tumour were also rated as being not infiltrated.

Statistical analysis

The results of the histopathological evaluation were correlated with the diagnostic graduation of MRI, PET, side-by-side analysis and retrospective PET-MR image fusion by using receiver operating characteristic (ROC) curve in combination with Area Under the Curve (AUC). For this analysis the scores of the five-point-scaling system were binary-coded (1–3 were rated as benign and 4–5 were rated as malignant). The binary score of the different imaging techniques and the histopathological analysis of specimen were used as variables.

The Youden-Index was used to determine the cut-off point at which both tumor and lymph node involvement scores had the highest correlation with the histopathological specimen.

Correct positive, false positive, correct negative and false negative rates were calculated and the sensitivity and specificity were determined for T-staging and N-staging. With regard to N-staging, differentiation between positive (N+) and negative (N0) cervical lymph nodes was performed at the patient level. Because of the low patient count, we could not differentiate between primary or recurrent tumour diseases or between CUP syndromes.

The data was analyzed with the "Statistical Package for the Social Sciences" (SPSS for Windows, release 21.0.0. 2013, SPSS Inc). The figures were generated with SPSS.

Results

Technique of image fusion

The semi-automatically image registration with manually adjustment for correct alignment took about 10–20 minutes per case before the analysis started. PET-MRI fusions could be performed in all cases with no obvious limitations, even though fine manual readjustments had to be done in some cases after automatic fusion was completed.

Results of T-staging

Thirty-one (n = 31) suspected tumour lesions were considered for analysis, since, in one patient of the four CUP syndrome cases, a primary tumour had been detected in the tonsil (case 2). In case 26, an additional metachronous tumour became evident in the analysis and was also accounted for the following analysis. Malignant tumours were detected in 28 tissue sections and three were benign in nature.

The overall sensitivity and specificity of T-staging for MRI, PET, side-by-side analysis and PET-MRI fusion are presented in Table 2.

Table 2 Diagnostic results of tumour staging (T-staging) in thirty-one patients
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Out of the seven falsely rated MRI analyses, one benign lesion was falsely rated as malignant and six malignant lesions were falsely rated as benign. Therefore, MRI alone was associated with a positive predictive value of 96% and a negative predictive value of 25%.

In the analysis of PET alone, five actually malignant lesions were falsely rated as benign. Out of these, three lesions had not been detected and two moderately increased up-takes were rated as nonspecific activity. Therefore, PET alone was associated with a positive predictive value of 100% and a negative predictive value of 38%.

In the simultaneous analysis of MRI and PET in a side-by-side fashion, two additional malignant lesions than in MRI alone were detected and one suspicion of malignancy was rejected. Side-by-side analysis was associated with a positive predictive value of 100% and a negative predictive value of 43%.

The analysis of retrospectively fused PET-MR images detected one additional malignancy in a case after tongue reconstruction. Because of the altered anatomical structures, MRI alone was rated as "indeterminate", whereas in the side-by-side analysis, it was rated as probably benign, with only the evaluation of the fused images confirming the malignancy of the suspicious lesion. Retrospective PET-MRI fusion was associated with a positive predictive value of 100% and a negative predictive value of 50%.

However, three malignant tumours remained undetected in all evaluation rounds. One small tumour of the oropharynx (pT1) and one tumour of the buccal mucosa (pT1) were not seen at all. One carcinoma in situ of the left tonsil was rated as 2 = probably benign in MRI and as 1 = most likely benign in PET/CT and in side-by-side analysis and image fusion. Biopsy by panendoscopy revealed these three tumours histologically.As a summary statistic the ROC-curve is illustrated in Figure 1. The cut-off point for the different methods investigating tumor evidence was at a score of 3.5 in all methods described. Retrospective image fusion technique (AUC: 0.708, Youden-Index: 0.524) was the most reliable technique, followed by side-by-side analysis (AUC: 0.702, Youden-Index: 0.488) and both the MRI and PET imaging (AUC: 0.667, Youden-Index: 0.453). There were no significant differences in tumor detection between the investigated methods (p > 0.05).

Figure 1
figure 1

ROC-curves to compare the accuracy of the different techniques for detection of malignant lesions.

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The analysis of mandibular bone infiltration was impaired in single case because of susceptibility artefacts in MRI (n = 2) or because of motion artefacts (n = 1). In PET/CT imaging, the analysis of potentially involved bone was complicated by beam-hardening artefacts in four cases (n = 4), caused by metallic implants. In two out of 28 malignant tumour resections, bony infiltration was established in histological work-up. MRI and PET analysis alone were each able to detect these bone infiltrations but were also associated with one false positive diagnosis each in other cases. Finally, the PET-MRI fusion was able to exclude bone infiltration by matching the suspicious tracer uptake of the PET-scan to the soft tissue tumour site next to the bone and not to the probably periodontal inflamed mandible. In the side-by-side analysis, this case was also rated as "probably infiltrated" because of insufficient virtual matching of the two modalities.

Results of N-staging

In total, twenty-seven cases (27/33) were analysed for lymph node metastases to the neck (N-staging). No neck dissection had been performed in five cases of recurrent tumour disease and in one case of fibroxanthoma. Histopathological specimens showed metastases to the cervical lymph nodes (N+) in 16 patients, whereas eleven cases were free of metastases to cervical lymph nodes (N0).

The overall sensitivity and specificity of N-staging on a "per patient" basis for MRI, PET, side-by-side analysis and PET-MRI fusion is represented in Table 3.

Table 3 Diagnostic results of nodal staging of the neck (N-staging) in twenty-seven patients on a "per patient" basis (positive vs. negative neck; N + vs. N0)
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In the analysis of MRI or PET data alone, 15 out of 16 cases were correctly diagnosed with metastatic spread to the cervical lymph nodes. MRI analysis alone detected seven N0 necks (7/11) correctly; PET detected ten N0 necks (10/11) correctly. Therefore, MRI and PET analysis alone were associated with a positive predictive value of 79% and 94% and a negative predictive value of 88% and 91%, respectively.

In side-by-side analysis of MRI and PET data, two more N0 necks were detected than in MRI alone. In the first case, a missing increased up-take of 18F-FDG in MRI-diagnosed enlarged lymph nodes led to the correct diagnosis. In another case, an "unsure increased up-take" of 18F-FDG led to the wrong PET-diagnosis but could be overruled by a clear MRI diagnosis of non-pathological lymph nodes. The side-by-side analysis detected nine N0 necks (9/11) correctly and was associated with a positive and negative predictive value of 88% and 90%.

Retrospective PET-MRI fusion achieved the same results as the side-by-side analysis.

On an N-staging basis, MRI, PET, side-by-side analysis and retrospective image fusion were associated with the displayed correct diagnosis/over-staging/under-staging rates in Table 4. All pathological malign lymph nodes that were not detected by imaging had a maximal diameter smaller than 10 mm.The ROC-curve is illustrating the performance of all imaging modalities in detection of lymph node metastases to the neck as a summary statistic (Figure 2). The cut-off point for the different methods investigating lymph node evidence was at a score of 4.5 in all methods described. The most reliable technique was PET imaging (Youden-Index: 0.882, AUC: 0.95), directly followed by side-by-side analysis and retrospective image fusion technique (Youden-Index each: 0.882, AUC: 0.941), which however, were not significantly better then the MRI (Youden-Index each: 0.882, AUC 0.935; p > 0.05).

Table 4 Diagnostic results of nodal staging of the neck (N-staging) in twenty-seven patients by using MRI, PET/CT, side-by-side analysis and retrospective PET-MRI fusion as clinical N-staging with imaging (cN) and correlation to the histopathological results (pN)
Full size table
Figure 2
figure 2

ROC-curves to compare the accuracy of the different techniques for detection of cervical lymph node metastases.

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Discussion

In order to determine the clinical benefit of PET-MRI fusion in HNC, we have analysed the value of retrospective PET-MRI fusion and compared the results with side-by-side analysis and PET or MRI alone. Although in our small patient population no statistically significant differences in the performance of each technique could be determined for local tumour assessment or lymph node staging, there was a trend towards a better performance of multimodal imaging (side by side analysis or retrospective image fusion) especially in the diagnosis of recurrent HNC and inconclusive findings in the single modality. Based on these data, this finding now has to be confirmed in larger prospective studies.

To our knowledge, no previous study has compared the value between retrospective image fusion and side-by-side analysis up to now. A diagnostic benefit has to be proven for multimodal imaging, since morphological imaging by using MRI or CT alone has nowadays reached a high accuracy in patient follow-up and even allows the detailed analysis of structures such as mucosal invasion [3, 23]. Accurate assessment of the local tumour extent is important for the surgeon, as the imaging results will determine the extent of tumour resection, the type of reconstruction and the adjuvant therapy.

In several studies, the beneficial use of PET data in primary T-staging has been reported [24, 25] and has led to the assumption that PET and MRI analysis further complement each other [6, 15]. In our study, one false negative and one false positive rating in MRI could be changed to the correct diagnosis through side-by-side analysis and elevated the sensitivity/specificity to 85%/100%. Retrospective image fusion had the highest sensitivity/specificity rates in T-staging of 89%/100%. It was shown to be of evident value in a suspected recurrent tumour (Figure 3). As is well-known, morphological imaging alone (MRI or CT) in previously operated regions is challenging due to sometimes difficult differentiation between non-neoplastic and neoplastic change. The reasons are scar tissue, loss of symmetry, side shift and unspecific contrast enhancement [5]. PET has gained wide acceptance in staging of suspected recurrent tumour disease, because of its high negative predictive values of up to 95%. On the other hand, it is also associated with false positive findings shortly after operation and should therefore be combined with CT or MRI and should be performed at a time interval of 10–12 weeks after surgery [26–28].

Figure 3
figure 3

Beneficial use of retrospective image fusion in a case of recurrent tumour disease. The presented case (no. 27, rpT2 pNx pMx) has suspected recurrent disease after resection of a squamous cell carcinoma of the floor of the mouth and tongue and reconstruction with a microvascular radial forearm flap and adjuvant radiation. A: The tissue by MRI alone was rated as probably malign, attributable to the abnormal contrast enhancement in the right posterior site of the floor of the mouth (red arrow). The region near the midline of the residual tongue (white arrow) was interpreted as an anatomical alteration after surgery and irradiation. B: PET alone showed a moderate increase of tracer up-take near the midline and both PET alone and the side-by-side analysis were rated as "probably benign". C: Retrospective image fusion provided the correct diagnosis of recurrent tumour disease through the correct alignment of morphological and functional imaging data; however, the disease was present not in the dorso-lateral region (histology: scar fibrosis) but near the midline in the residual tongue (histology: SCC recurrent disease).

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In our analysis, retrospective PET-MRI fusion in initial tumour staging of primary lesions was of minor advantage compared with a single modality or to the side-by-side analysis with regard to T-staging. No significant benefit of retrospective image fusion was seen compared with side-by-side analysis. However, multimodal imaging (fusion and side-by-side analysis) had a tendency for higher sensitivity compared to MRI or PET alone, although the difference was not significant.

Another important aspect of HNC staging is the recognition of tumour invasion of neighbouring structures, such as maxilla or mandible. As described earlier, additional PET data might be beneficial in the detection of bone infiltration compared with MR images alone [29]. In one case of our present study, retrospective PET-MRI fusion could also reduce false positive diagnoses for bone infiltration and correspondingly could reduce surgical over-treatment.

Staging for metastases to cervical lymph nodes (N-staging) plays an important role and correlates directly with the survival of the patient [30, 31]. Correct diagnoses are still associated with difficulties, especially when only morphological imaging technique is performed [32]. The reported sensitivity/specificity ranges between 78-88%/75-86% for MRI alone [4, 33]. The differentiation between benign and malignant lymph node enlargement in morphological imaging alone (CT or MRI) mainly relies on size-based evaluation. However, the sizes of lymph nodes, whether benign or malignant, vary and previously studies have shown that up to 21% of nodes smaller than 10 mm can be malignant and up to 40% of nodes larger than 10 mm can be benign [32, 34]. Our high sensitivity for MRI (94%) can be explained by only differentiating between N0 or N+ staging and no node-by-node comparison. PET/CT is able to raise the specificity up to 97% but is still accompanied with a low sensitivity of 50-84% [33, 34]. In our results, PET analysis alone achieved the highest sensitivity and specificity rates (94% and 91%) and was higher than that reported in the literature. Our small patient population might well be the reason for these findings.

On a "N-staging per patient basis", MRI only achieved correct staging in 70.4%, whereas PET alone, side-by-side analysis and PET-MRI fusion achieved correct staging in 81.5% (Table 4). Furthermore, side-by-side analysis and retrospective image fusion achieved the lowest under-staging rates compared with PET and MRI alone (7.4% vs. 11.1%). On the other hand, MRI had the highest rates of over-staging (18.5%) compared with multimodal imaging (11.1%). Both retrospective image fusion and side-by-side analysis corrected two initial false positive ratings to N0 staging. PET analysis alone was associated with the lowest rate of over-staging (7.4%). As shown in our results, even with retrospective PET-MRI fusion or side-by-side analysis, malignant neck lymph nodes smaller than 10 mm remained undetected and were associated with a lower specificity than by PET analysis alone (82% vs. 91%), as caused by the false positive influence of the MRI. Ng et al. also reported a superiority of PET analysis for nodal staging compared with MRI alone. By analysing the nodal status in a side-by-side fashion, they showed a trend of increased diagnostic accuracy over the single modalities [35].

Our study has some limitations. The main limitations are its retrospective design, the inhomogeneous patient population including patients with primary and recurrent disease and the relatively small number of patients included. However, these limitations do not decisively influence the results of our study. As the observers were not aware of the histopathology report, the retrospective nature of the study should not have influenced the diagnostic performance of image fusion. Furthermore, the aim of our study was to evaluate performance of image fusion of PET and MRI in the head and neck region. We therefore chose to include patients with diseases in this region, independently of the primary or the recurrent disease. Despite the relatively small number of patients included in the study, our results confirmed the known superiority of combining morphological and functional imaging in diagnostic accuracy. However there were no beneficial gains for the image fusion in this aspect compared to side-by-side analysis.

In summary, we found positive trends of multimodal imaging in T- and N-staging of HNC cancer. Nevertheless, the proof of cost-effectiveness of an initial multimodal imaging (PET/CT or PET/MRI) for primary staging of HNC and also any evident and significant advantages in diagnoses of bone infiltration are still pending and must be analysed systematically. Another question to be answered is, whether it is contemporary to perform time consuming and in some cases difficult retrospective image fusion or side-by-side analysis when it is possible to use fully integrated PET/MRI scanners in primary staging of HNC.

Conclusion

Our study has shown the beneficial use of multimodal imaging by using retrospective PET-MRI fusion in selected HNC cases only. Compared with morphological MRI alone, we have seen advantages in single cases of recurrent diseases and in the ambiguous diagnosis of suspected lymphatic spread to the neck. However, the complex and time-consuming nature of retrospective image fusion hardly justifies the routine use in light of the only slight advantages compared to side-by-side analysis. However this technical limitation can be overcome by fully integrated PET/MRI scanners, which have recently become available. Their clinical value for HNC has not as yet been fully defined [14, 36, 37] and must be analysed systematically in future studies.

References

  1. Rumboldt Z, Gordon L, Bonsall R, Ackermann S: Imaging in head and neck cancer. Curr Treat Opt Oncol. 2006, 7 (1): 23-34. 10.1007/s11864-006-0029-2.

    Article  Google Scholar 

  2. Argiris A, Karamouzis MV, Raben D, Ferris RL: Head and neck cancer. Lancet. 2008, 371 (9625): 1695-1709. 10.1016/S0140-6736(08)60728-X.

    Article  CAS  PubMed  Google Scholar 

  3. Lwin CT, Hanlon R, Lowe D, Brown JS, Woolgar JA, Triantafyllou A, Rogers SN, Bekiroglu F, Lewis-Jones H, Wieshmann H, Shaw RJ: Accuracy of MRI in prediction of tumour thickness and nodal stage in oral squamous cell carcinoma. Oral Oncol. 2012, 48 (2): 149-154. 10.1016/j.oraloncology.2011.11.002.

    Article  PubMed  Google Scholar 

  4. King AD, Tse GM, Yuen EH, To EW, Vlantis AC, Zee B, Chan AB, van Hasselt AC, Ahuja AT: Comparison of CT and MR imaging for the detection of extranodal neoplastic spread in metastatic neck nodes. Eur J Radiol. 2004, 52 (3): 264-270. 10.1016/j.ejrad.2004.03.004.

    Article  PubMed  Google Scholar 

  5. Offiah C, Hall E: Post-treatment imaging appearances in head and neck cancer patients. Clin Radiol. 2011, 66 (1): 13-24. 10.1016/j.crad.2010.09.004.

    Article  CAS  PubMed  Google Scholar 

  6. Ng SH, Chan SC, Yen TC, Liao CT, Lin CY, Tung-Chieh Chang J, Ko SF, Wang HM, Chang KP, Fan KH: PET/CT and 3-T whole-body MRI in the detection of malignancy in treated oropharyngeal and hypopharyngeal carcinoma. Eur J Nucl Med Mol Imaging. 2011, 38 (6): 996-1008. 10.1007/s00259-011-1740-1.

    Article  PubMed  Google Scholar 

  7. Kim SK, Choi HJ, Park SY, Lee HY, Seo SS, Yoo CW, Jung DC, Kang S, Cho KS: Additional value of MR/PET fusion compared with PET/CT in the detection of lymph node metastases in cervical cancer patients. Eur J Cancer. 2009, 45 (12): 2103-2109. 10.1016/j.ejca.2009.04.006.

    Article  PubMed  Google Scholar 

  8. Goerres GW, Hany TF, Kamel E, von Schulthess GK, Buck A: Head and neck imaging with PET and PET/CT: artefacts from dental metallic implants. Eur J Nucl Med Mol Imaging. 2002, 29 (3): 367-370. 10.1007/s00259-001-0721-1.

    Article  CAS  PubMed  Google Scholar 

  9. Loeffelbein DJ, Mielke E, Buck AK, Kesting MR, Holzle F, Mucke T, Muller S, Wolff KD: Impact of nonhybrid 99mTc-MDP-SPECT/CT image fusion in diagnostic and treatment of oromaxillofacial malignancies. Mol Imaging Biol. 2010, 12 (1): 71-77. 10.1007/s11307-009-0231-2.

    Article  PubMed  Google Scholar 

  10. Nakamoto Y, Tamai K, Saga T, Higashi T, Hara T, Suga T, Koyama T, Togashi K: Clinical value of image fusion from MR and PET in patients with head and neck cancer. Mol Imaging Biol. 2009, 11 (1): 46-53. 10.1007/s11307-008-0168-x.

    Article  PubMed  Google Scholar 

  11. Czernin J, Allen-Auerbach M, Schelbert HR: Improvements in cancer staging with PET/CT: literature-based evidence as of September 2006. J Nucl Med. 2007, 48 (Suppl 1): 78S-88S.

    CAS  PubMed  Google Scholar 

  12. Iyer NG, Clark JR, Singham S, Zhu J: Role of pretreatment 18FDG-PET/CT in surgical decision-making for head and neck cancers. Head Neck. 2010, 32 (9): 1202-1208. 10.1002/hed.21319.

    Article  PubMed  Google Scholar 

  13. Eiber M, Souvatzoglou M, Pickhard A, Loeffelbein DJ, Knopf A, Holzapfel K, Martinez-Moller A, Nekolla SG, Scherer EQ, Schwaiger M, Rummeny EJ, Beer AJ: Simulation of a MR-PET protocol for staging of head-and-neck cancer including Dixon MR for attenuation correction. Eur J Radiol. 2012, 81 (10): 2658-2665. 10.1016/j.ejrad.2011.10.005.

    Article  PubMed  Google Scholar 

  14. Loeffelbein DJ, Souvatzoglou M, Wankerl V, Martinez-Moller A, Dinges J, Schwaiger M, Beer AJ: PET-MRI fusion in head-and-neck oncology: current status and implications for hybrid PET/MRI. J Oral Maxillofac Surg. 2011, 70 (2): 473-483.

    Article  PubMed  Google Scholar 

  15. Kanda T, Kitajima K, Suenaga Y, Konishi J, Sasaki R, Morimoto K, Saito M, Otsuki N, Nibu K, Sugimura K: Value of retrospective image fusion of (18) F-FDG PET and MRI for preoperative staging of head and neck cancer: comparison with PET/CT and contrast-enhanced neck MRI. Eur J Radiol. 2013, 82 (11): 2005-2010. 10.1016/j.ejrad.2013.06.025.

    Article  PubMed  Google Scholar 

  16. Maza S, Taupitz M, Taymoorian K, Winzer KJ, Ruckert J, Paschen C, Raber G, Schneider S, Trefzer U, Munz DL: Multimodal fusion imaging ensemble for targeted sentinel lymph node management: initial results of an innovative promising approach for anatomically difficult lymphatic drainage in different tumour entities. Eur J Nucl Med Mol Imaging. 2007, 34 (3): 378-383. 10.1007/s00259-006-0223-2.

    Article  PubMed  Google Scholar 

  17. Somer EJ, Marsden PK, Benatar NA, Goodey J, O'Doherty MJ, Smith MA: PET-MR image fusion in soft tissue sarcoma: accuracy, reliability and practicality of interactive point-based and automated mutual information techniques. Eur J Nucl Med Mol Imaging. 2003, 30 (1): 54-62. 10.1007/s00259-002-0994-z.

    Article  PubMed  Google Scholar 

  18. Pechlivanis I, Scholz M, Harders A, Schmieder K: Occult sacral meningocele–a diagnostic challenge. Z Orthop Unfall. 2008, 146 (4): 468-470.

    Article  CAS  PubMed  Google Scholar 

  19. Seiboth L, Van Nostrand D, Wartofsky L, Ousman Y, Jonklaas J, Butler C, Atkins F, Burman K: Utility of PET/neck MRI digital fusion images in the management of recurrent or persistent thyroid cancer. Thyroid. 2008, 18 (2): 103-111. 10.1089/thy.2007.0135.

    Article  PubMed  Google Scholar 

  20. Robbins KT: Classification of neck dissection: current concepts and future considerations. Otolaryngol Clin N Am. 1998, 31 (4): 639-655. 10.1016/S0030-6665(05)70077-3.

    Article  CAS  Google Scholar 

  21. Wolff KD, Follmann M, Nast A: The diagnosis and treatment of oral cavity cancer. Deutsches Arzteblatt Int. 2012, 109 (48): 829-835.

    Google Scholar 

  22. Weber A, Schmid KW, Tannapfel A, Wittekind C: Changes in the TNM classification of head and neck tumors. Pathologe. 2010, 31 (5): 339-343. 10.1007/s00292-010-1302-5.

    Article  CAS  PubMed  Google Scholar 

  23. Rivelli V, Luebbers HT, Weber FE, Cordella C, Gratz KW, Kruse AL: Screening recurrence and lymph node metastases in head and neck cancer: the role of computer tomography in follow-up. Head Neck Oncol. 2011, 3: 18-10.1186/1758-3284-3-18.

    Article  PubMed  PubMed Central  Google Scholar 

  24. Kim SY, Roh JL, Kim JS, Ryu CH, Lee JH, Cho KJ, Choi SH, Nam SY: Utility of FDG PET in patients with squamous cell carcinomas of the oral cavity. Eur J Surg Oncol. 2008, 34 (2): 208-215. 10.1016/j.ejso.2007.03.015.

    Article  CAS  PubMed  Google Scholar 

  25. Roh JL, Yeo NK, Kim JS, Lee JH, Cho KJ, Choi SH, Nam SY, Kim SY: Utility of 2-[18F] fluoro-2-deoxy-D-glucose positron emission tomography and positron emission tomography/computed tomography imaging in the preoperative staging of head and neck squamous cell carcinoma. Oral Oncol. 2007, 43 (9): 887-893. 10.1016/j.oraloncology.2006.10.011.

    Article  PubMed  Google Scholar 

  26. Gupta T, Master Z, Kannan S, Agarwal JP, Ghsoh-Laskar S, Rangarajan V, Murthy V, Budrukkar A: Diagnostic performance of post-treatment FDG PET or FDG PET/CT imaging in head and neck cancer: a systematic review and meta-analysis. Eur J Nucl Med Mol Imaging. 2011, 38 (11): 2083-2095. 10.1007/s00259-011-1893-y.

    Article  PubMed  Google Scholar 

  27. Isles MG, McConkey C, Mehanna HM: A systematic review and meta-analysis of the role of positron emission tomography in the follow up of head and neck squamous cell carcinoma following radiotherapy or chemoradiotherapy. Clin Otolaryngol. 2008, 33 (3): 210-222. 10.1111/j.1749-4486.2008.01688.x.

    Article  CAS  PubMed  Google Scholar 

  28. Ishikita T, Oriuchi N, Higuchi T, Miyashita G, Arisaka Y, Paudyal B, Paudyal P, Hanaoka H, Miyakubo M, Nakasone Y, Negishi A, Yokoo S, Endo K: Additional value of integrated PET/CT over PET alone in the initial staging and follow up of head and neck malignancy. Ann Nucl Med. 2010, 24 (2): 77-82. 10.1007/s12149-009-0326-5.

    Article  PubMed  Google Scholar 

  29. Gu DH, Yoon DY, Park CH, Chang SK, Lim KJ, Seo YL, Yun EJ, Choi CS, Bae SH: CT, MR, (18) F-FDG PET/CT, and their combined use for the assessment of mandibular invasion by squamous cell carcinomas of the oral cavity. Acta Radiol. 2010, 51 (10): 1111-1119. 10.3109/02841851.2010.520027.

    Article  PubMed  Google Scholar 

  30. Le Tourneau C, Velten M, Jung GM, Bronner G, Flesch H, Borel C: Prognostic indicators for survival in head and neck squamous cell carcinomas: analysis of a series of 621 cases. Head Neck. 2005, 27 (9): 801-808. 10.1002/hed.20254.

    Article  PubMed  Google Scholar 

  31. Mücke T, Wagenpfeil S, Kesting MR, Holzle F, Wolff KD: Recurrence interval affects survival after local relapse of oral cancer. Oral Oncol. 2009, 45 (8): 687-691. 10.1016/j.oraloncology.2008.10.011.

    Article  PubMed  Google Scholar 

  32. Fasunla AJ, Greene BH, Timmesfeld N, Wiegand S, Werner JA, Sesterhenn AM: A meta-analysis of the randomized controlled trials on elective neck dissection versus therapeutic neck dissection in oral cavity cancers with clinically node-negative neck. Oral Oncol. 2011, 47 (5): 320-324. 10.1016/j.oraloncology.2011.03.009.

    Article  PubMed  Google Scholar 

  33. Seitz O, Chambron-Pinho N, Middendorp M, Sader R, Mack M, Vogl TJ, Bisdas S: 18F-Fluorodeoxyglucose-PET/CT to evaluate tumor, nodal disease, and gross tumor volume of oropharyngeal and oral cavity cancer: comparison with MR imaging and validation with surgical specimen. Neuroradiology. 2009, 51 (10): 677-686. 10.1007/s00234-009-0586-8.

    Article  PubMed  Google Scholar 

  34. Krabbe CA, Dijkstra PU, Pruim J, van der Laan BF, van der Wal JE, Gravendeel JP, Roodenburg JL: FDG PET in oral and oropharyngeal cancer. Value for confirmation of N0 neck and detection of occult metastases. Oral Oncol. 2008, 44 (1): 31-36. 10.1016/j.oraloncology.2006.12.003.

    Article  PubMed  Google Scholar 

  35. Ng SH, Yen TC, Liao CT, Chang JT, Chan SC, Ko SF, Wang HM, Wong HF: 18F-FDG PET and CT/MRI in oral cavity squamous cell carcinoma: a prospective study of 124 patients with histologic correlation. J Nucl Med. 2005, 46 (7): 1136-1143.

    PubMed  Google Scholar 

  36. Platzek I, Beuthien-Baumann B, Schneider M, Gudziol V, Langner J, Schramm G, Laniado M, Kotzerke J, van den Hoff J: PET/MRI in head and neck cancer: initial experience. Eur J Nucl Med Mol Imaging. 2013, 40 (1): 6-11. 10.1007/s00259-012-2248-z.

    Article  PubMed  Google Scholar 

  37. Boss A, Stegger L, Bisdas S, Kolb A, Schwenzer N, Pfister M, Claussen CD, Pichler BJ, Pfannenberg C: Feasibility of simultaneous PET/MR imaging in the head and upper neck area. Eur Radiol. 2011, 21 (7): 1439-1446. 10.1007/s00330-011-2072-z.

    Article  PubMed  Google Scholar 

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Acknowledgements

All persons who have contributed to the study are listed as authors, since everyone has met the listed criteria for authorship. There exist no current funding sources for this study.

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    1. Department of Oral and Maxillofacial Surgery, Technische Universität München, Ismaningerstr. 22, D-82675, München, Germany

      Denys J Loeffelbein, Veronika Wankerl, Lucas M Ritschl & Thomas Mücke

    2. Department of Nuclear Medicine, Technische Universität München, Munich, Germany

      Michael Souvatzoglou, Julia Dinges, Matthias Eiber, Markus Schwaiger & Ambros J Beer

    3. Department of Otolaryngology, Head and Neck Surgery, Technische Universität München, Munich, Germany

      Anja Pickhard

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    1. Denys J Loeffelbein
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    Authors’ contributions

    DJL: conception and design; acquisition of data; drafting and revising the manuscript MS: conception and design; acquisition of data; drafting and revising the manuscript VW: conception and design; acquisition of data; drafting and revising the manuscript JD: analysis and interpretation of data; drafting and revising the manuscript LMR: analysis and interpretation of data; drafting and revising the manuscript TM: analysis and interpretation of data; drafting and revising the manuscript AP: analysis and interpretation of data; drafting and revising the manuscript ME: analysis and interpretation of data; drafting and revising the manuscript MS: conception and design; acquisition of data; drafting and revising the manuscript AJB: conception and design; acquisition of data; drafting and revising the manuscript All authors read and approved the final manuscript and agree to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved.

    Denys J Loeffelbein, Michael Souvatzoglou contributed equally to this work.

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    Loeffelbein, D.J., Souvatzoglou, M., Wankerl, V. et al. Diagnostic value of retrospective PET-MRI fusion in head-and-neck cancer. BMC Cancer 14, 846 (2014). https://doi.org/10.1186/1471-2407-14-846

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    BMC Cancer

    ISSN: 1471-2407

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