Abstract
The surgical treatment of head and neck malignancies relies on the complete removal of tumoral tissue, while inadequate margins necessitate the use of adjuvant therapy. However, most positive margins are identified postoperatively as deep margins, and intraoperative identification of the deep positive margins could help achieve adequate surgical margins and decrease adjuvant therapies. To improve deep-margin identification, we investigated whether the use of high-resolution preclinical PET and CT could increase certainty about the surgical margins in three dimensions. Patients with a malignancy of the head and neck planned for surgical resection were administered a clinical activity of 4MBq/kg 18F-FDG approximately one hour prior to surgical initiation. Subsequently, the resected specimen was scanned with a micro-PET-CT imaging device, followed by histopathological assessment. Eight patients were included in the study and intraoperative PET/CT-imaging of 11 tumoral specimens and lymph nodes of three patients was performed. As a result of the increased resolution, differentiation between inflamed and dysplastic tissue versus malignant tissue was complicated in malignancies with increased peritumoral inflammation. The current technique allowed the three-dimensional delineation of 18F-FDG using submillimetric PET/CT imaging. While further optimization and patient stratification is required, clinical implementation could enable deep margin assessment in head and neck resection specimens.
Keywords: head and neck cancer, PET/CT, margin assessment, deep margins, molecular imaging
1. Introduction
In times when systemic and radiotherapeutic approaches are constantly renewing, the surgical resection of solid malignancies remains the standard therapeutic approach, particularly in early stage malignancies of the head and neck [1]. Oncological surgeries in the head and neck are characterized by complex and invasive procedures, often requiring the excision of functional regions to ensure full oncologic removal. Dependent on the type and location of the tumor, a margin of ≥5mm needs to be obtained to ensure full oncological removal, regularly necessitating immediate reconstruction [2]. However, assessing the surgical margins in these malignancies still relies on the surgeon’s visual and tactile feedback, often supplemented with frozen sections of the regions at risk [3]. Unfortunately, the lack of the current sensitivity and specificity to distinguish malignant and benign tissue during surgery results in a limited 15–26% of oral squamous cell carcinomas (SCC) having adequate margins after surgery [4]. When close or positive margins <5mm are identified on histopathological analysis postoperatively, completion surgeries are often obsolete because of the need for immediate reconstructive surgery after tumor resection. Therefore, adjuvant therapies including radiotherapy, whether or not associated with concomitant systemic therapies, are required, as a positive surgical margin is associated with a significantly worse survival [5]. Moreover, these often preventable adjuvant therapies can result in important esthetic, social and functional deficits, severely impacting the quality of life for the patient [6,7].
While recent advances have been proposed to increase the accuracy of margin assessment in a multitude of tumor types, assessing the deep margins with sufficient accuracy remains an important limitation in most proposed techniques [8]. Over the last decade, several techniques that could potentially enable intraoperative margin assessment, such as fluorescence, hyperspectral imaging, spectroscopy and radioguided surgery, have been and still are being evaluated, with varying success [9,10,11,12]. More specifically, the use of fluorescent tumor-targeting tracers to delineate malignancies has become a growing topic of interest, with an expanding number of clinical trials in different malignancy types [13]. While preliminary results show that these techniques are able to visualize the malignancies in situ, their limited penetration depth remains a major limitation in visualizing the deep margins [3,14]. These limitations are especially important in malignancies of the head and neck, where 71.4–87% of all positive margins are deep surgical margins [2,15,16]. Increasing certainty about the deep margins is therefore of major importance to increase survival in this patient group.
As 18F-fluorodesoxyglucose (18F-FDG) remains the most accurate radiotracer in solid malignancies of the head and neck on clinical PET/CT, we hypothesized that 18F-FDG could be used as a contrast agent for the identification of a solid malignancy in resected specimens [17,18]. Fortunately, while even the best state-of-the-art clinical PET devices remain limited to a spatial resolution of approximately 3 mm, advances in preclinical imaging have resulted in the development of small high-resolution PET- and CT-imaging devices with a near five-fold optimization in spatial resolution as opposed to the standard clinical PET/CT devices [19,20]. Consequently, by using these small benchtop high-resolution PET/CT-imaging devices with tumor-specific radiotracers on resected specimens intraoperatively, the deep surgical margins could be visualized with an increased certainty, hence adapting the surgical approach resulting in a decrease in postoperative invaded margins.
In the current proof-of-concept study, we used a high-resolution benchtop preclinical PET/CT-imaging device to assess the margin status on surgically derived specimens from patients diagnosed with a malignancy of the head and neck.
2. Materials and Methods
The current prospective study was performed at a single tertiary reference center and was approved by the local committee for medical ethics (registration number 2019/1135) and the Belgian Federal Agency for Nuclear Control (FANC) prior to initiation. Patients were eligible for the study when they included all of the following criteria: (1) the patient is diagnosed with a histopathological-proven malignancy of the head and neck; (2) the patient was planned for surgical removal of this malignancy (3) the patient was not pregnant, nor breastfeeding at the time of injection (4) the patient has given informed consent to participate in the trial.
2.1. Study Flow
Patients were recruited at the department of Head and Neck surgery by a member of the study team. On the day of surgery, patients were brought to the department of Nuclear Medicine, where glycemia was measured prior to administering a clinical activity of 4MBq/kg 18F-FDG to the patient. The patient was brought to the operating room immediately after administration. In the operating room, surgery was performed as standard of care. To ensure safety for the health personnel, all members present in the operating room were obliged to wear a personal dosimeter during the full duration of the surgery. When a sample was excised by the surgeon, the sample was oriented using surgical sutures to ensure correct positioning. Afterwards, the sample was moved into a lead container to ensure safety for accidental passengers and brought to the PET/CT room.
2.2. Scanning
Prior to scanning the sample, the residual activity in the individual samples was measured using a VDC-404 dose calibrator (Veenstra Instruments, Joure, The Netherlands). After measuring the sample’s activity, the specimen was positioned on an imaging bed using the specimen’s surgical suture to guide orientation and a photo was taken of the sample. High-resolution PET and CT images were acquired using a Molecubes β-CUBE and X-CUBE (MOLECUBES NV, Belgium), respectively. First, a 30-min PET-acquisition was performed, followed by a (5-min) high-resolution CT-scan protocol. PET-CT images were reconstructed using MOLECUBES software. CT images were reconstructed with 200 µm voxel size using the Image Space Reconstruction Algorithm (ISRA). PET images were reconstructed using the Ordered Subset Expectation Maximization (OSEM) algorithm using 1 subset, 20 iterations, a voxel size of 800 μm, and an energy window of 50% around the 511 keV photopeak. In order to simulate a shortened PET acquisition time and lower administered 18F-FDG activity, a time frame of only the first few minutes of the original 30 min PET acquisition was reconstructed. A time frame of 7.5 min was used to simulate 1/4th of the administered dose acquired for 30 min, a time frame of 5 min was used to simulate an acquisition time of 5 min using the full dose, and a time frame of 1.25 min was used to simulate PET-scan with 1/4th of the administered dose and 5 min acquisition time. Data-analysis and post-processing were performed using A Medical Imaging Data Examiner (AMIDE), a Linux-based open source image data examiner [21].
2.3. Pathology
After imaging, the samples were brought to the department of Pathology, where a clinical pathologist inked the section margins as per local protocol. Slicing of the tissue was performed prior to specimen fixation, when possible. Specimens were fixed for 12–72 h in a 10% neutral buffered formalin solution. In order to correlate the pathological sections to the imaging, every slice was given a number and a photo was taken. Lymph nodes and samples derived from neck dissections were processed as standard of care. All samples were fixed for 12–72 h in a 10% neutral buffered formalin solution prior to tissue processing. Pathological assessment was performed using the in-house standard procedure and hematoxylin-eosin staining was performed on 4 µm slices. Additional immunohistochemical staining was performed, when required. In order to correlate the results of the imaging, these pathological reports were taken as gold standard and section margins on the pathological slices were correlated with the position of the section margins on PET/CT-imaging.
3. Results
Between August 2020 and June 2021, we included a total of 8 patients into the trial, resulting in a total removal of 11 different tumor-containing specimens. A summary of the patient and tumor characteristics is found in Table 1. A figurative overview with results of patient 7 is given in Figure 1.
Table 1.
Patient Number | Age | Gender | Tumor Location | Tumor Type | Administered Activity (MBq) | Specimen Activity (kBq) |
---|---|---|---|---|---|---|
1 | 60 | Male | Floor of mouth | SCC | 297 | 3482 |
2 | 54 | Male | Tongue | SCC | 300 | 137 |
3 | 78 | Male | Scalp | SCC | 479 | 310 |
4 | 62 | Male | Nose | Angiosarcoma | 306 | 215 |
5 | 79 | Male | Scalp | SCC | 377 | 90 |
Preauricular | SCC | |||||
Preauricular | BCC | |||||
6 | 85 | Male | Ear | SCC | 340 | 94 |
Preauricular | SCC | |||||
7 | 28 | Female | Thyroid | Medullary Carcinoma |
257 | 85 |
8 | 60 | Female | Tongue | SCC | 221 | 48 |
SCC: Squamous cell carcinoma; BCC: Basocellular carcinoma.
3.1. (Pre)Surgical Flow
After giving written informed consent, all included patients received an activity of 18F-FDG prior to surgical initiation. The average administered activity was 322 ± 74 MBq (range 221–478 MBq), which was administered on average 48 ± 20 min (range 20–99 min) prior to the start of the patient’s anesthesia (see Table 2). Surgical dissection and PET/CT scanning of the tumor specimen were performed on average 130 ± 22 min (range 74–169 min) and 139 ± 23 min (range 92–183 min) after 18F-FDG administration, respectively (see Table 2). This range in time was associated with the different surgical techniques required for the different malignancies, and the logistical challenges associated with the study protocol requiring a multidisciplinary cohesion of the study team. All surgeries were performed as standard of care.
Table 2.
Patient Number | Specimen Number | Time of Anesthesia after Injection (min) A | Time of Resection (min) B | Time of PET/CT (min) C |
---|---|---|---|---|
1 | 1 | 32 | 132 | 146 |
2 | 2 | 20 | 129 | 135 |
3 | 3 | 77 | 137 | 179 |
4 | 4 | 34 | 74 | 92 |
5 | 5 | 99 | 139 | 183 |
6 | 159 | |||
7 | 169 | |||
6 | 8 | 40 | 80 | 98 |
9 | 165 | |||
7 | 10 | 50 | 130 | 140 |
8 | 11 | 33 | 115 | 137 |
Average | 48 | 130 | 139 |
A: The time between the administration of the 18F-FDG at the department of Nuclear Medicine, and anesthetic initiation. B: The time between the administration of the 18F-FDG at the department of Nuclear Medicine and full resection of the respective specimen. C: The time between the administration of the 18F-FDG at the department of Nuclear Medicine, and the start of PET-scanning of the specimen has started.
3.2. Ex Vivo Specimen PET/CT
As already mentioned, primary tumor specimens were scanned on average 139 min after initial injection of the patient using high-resolution PET/CT. One specimen (specimen 3) was cut by the responsible pathologist in two halves to fit on the imaging bed of the device. Prior to scanning the samples, specimen activity was measured in a dose calibrator and ranged from 48 to 3482 kBq (average 558 ± 1108 kBq). The exceptionally high activity measured in specimen one was found to be the result of the sentinel node procedure where 99mTc that was injected peritumorally. Lymph nodes had a significantly lower residual activity with an average of 25 ± 12 kBq (range 10–47 kBq). Clear regions of increased 18F-FDG uptake could be identified in all specimens (Supplementary Material S1). Three-dimensional volume rendering of the PET/CT images resulted in a clear localization of the metabolic regions within the sample (Figure 2 and Supplementary Material S2).
3.3. Pathology and Correlation with the Imaging Results
All resected specimens were cut in parallel slices prior to pathological assessment. This enabled the macroscopic pathological identification of the 18F-FDG high-uptake regions. While coregistration was not fully accurate, this allowed a rough colocalization of the centrals slides of the tumor specimen and the PET/CT images. All macroscopic malignant regions could be correlated with regions of increased 18F-FDG uptake, displaying an excellent sensitivity for the technique. However, in two patients receiving the resection of a SCC of the oral cavity (patient 1 & patient 2), regions with increased 18F-FDG were associated with regions of inflammation (Figure 3A), salivary glands (Figure 3B) and dysplasia (Figure 3C). These regions of increased uptake were however not visible in the resected tongue tumor from patient 9 (Supplementary Material S1.11). Moreover, in patient 4, who received a total nasal resection for an angiosarcoma, diffuse 18F-FDG uptake could be identified (Figure 3D). Interestingly, besides the malignancy, the uptake could be correlated with an increased uptake in the sebaceous glands. In contrast, patient 3, who received the resection of a SCC of the scalp, was identified with a pathological close margin between the invasive tumor and the resection margin that was calculated to be 145 µm. As displayed in Figure 4, when correlating PET/CT-imaging and pathology, this region could be located on the imaging as a small region where the deep margin shows an increased 18F-FDG uptake.
As displayed in Supplementary Material S3, a 1/4th administered activity of 18F-FDG or a reduced scanning time of 5 min allow imaging with sufficient contrast to delineate high metabolic and low metabolic regions in the specimen in most specimens. However, the amount of noise increases with decreasing acquisition time or administered activity. Consequentially, emulating the imaging with 1MBq/kg of 18F-FDG and 5 min of PET-acquisition severely decreases contrast in most specimens.
3.4. Lymph Nodes
In patients 1, 2, and 9, lymph nodes were resected and scanned separately from the tumor specimen. Patient 1 received a sentinel lymph node procedure with preoperative administration of 99mTc-nanocoll, followed by Single Photon Emission Computed Tomography (SPECT), CT and intraoperative node identification using a gamma probe (Neoprobe, Devicor Medical Products, Inc., Cincinnati, USA). The 18F-FDG was administered after SPECT/CT-imaging, which resulted in a significant amount of background noise on the gamma probe as a result of the gamma-radiation of the 18F-FDG. This made intraoperative identification of the nodes cumbersome, and surgical guidance with the SPECT/CT was required to identify the nodes (n = 3), which were scanned using the high-resolution PET/CT system prior to pathological assessment (Figure 5). Two of the three specimens displayed a clear 18F-FDG uptake, while one displayed nearly no 18F-FDG uptake. Interestingly, during pathological assessment, the 18F-FDG negative specimen (Figure 5C) included only fat tissue, while the two other specimens included one (Figure 5A) and two (Figure 5B) lymph nodes without identifiable malignancy. Patients 2 and 9 received an elective unilateral functional neck dissection. The resected neck regions were also scanned following the tumor resection. Figure 5D displays the PET/CT results for the resected lymphadenectomy from patient 2. On these images, a high 18F-FDG uptake in multiple delineated regions could be identified, that also appear denser on the CT images (Figure 5E). On pathological assessment these high-uptake regions were found to be lymph nodes, which were all negative for malignancy. In the same resected specimen, a large region of heterogeneous uptake without a single peak was imaged (Figure 5D). This region of heterogeneous 18F-FDG uptake delineates the submandibular salivary gland.
4. Discussion
There is an urgent need for novel techniques that improve intraoperative decision making by obtaining the margin status with sufficient reliability and robustness, while remaining feasible for implementation in a clinical routine. To fulfill these requirements, we proposed the use of a small benchtop preclinical PET/CT scanner to image the malignant tissue within the resected specimen sample using a patient dose of 4 MBq/kg 18F-FDG as the tumor-targeting tracer. 18F-FDG was chosen for this purpose, as it remains the most sensitive clinically-available PET-tracer in head and neck SCC to date [22]. In our results, all scanned samples displayed an increased 18F-FDG uptake on the macroscopically confirmed malignant regions, enabling the intra-operative three-dimensional visualization of the malignancy within the resected tissue. Consequentially, we here display an important proof-of-concept that displays the feasibility of using high-resolution PET/CT on excised tumoral tissue to assess both superficial and deep margins in resected malignancies of the head and neck.
In contrast to modern clinical-grade PET-devices that have a spatial resolution of approximately 3–5 mm, dependent on the type and brand, the preclinical PET device used for this trial has a spatial resolution below 1 mm [23]. Because of this previously unprecedented resolution, we were able to visualize an important heterogeneity in two patients with mucosal SCC (patients 1 & 2) and one patient with nasal angiosarcoma (patient 4) on this submillimetric scale. The two patients with mucosal SCC were p16-negative, proposedly co-initiated by tobacco and alcohol consumption. The heterogeneous uptake was assumed to be the result of false-positive peri-tumoral inflammation, premalignant dysplasia and sebaceous glands, that were confirmed during histopathological analysis [24]. Interestingly, we also included a rare case of a 28-year-old female without any risk factors with a p16-negative SCC of the tongue. On PET/CT-imaging, this specimen displayed much less uptake on the normal epithelia of the tongue. However, we were unable to divide inflammatory tissue and malignant tissue with absolute certainty by solely using the PET/CT-imaging. Similarly, in cutaneous SCC, basocellular carcinoma (BCC) and the thyroid carcinoma, less heterogeneity was obtained. These results could indicate an important difference in peri-tumoral 18F-FDG uptake, dependent on the tumor type, origin and location. Further research on the correlation between the uptake of 18F-FDG uptake and its corresponding histology will increase our understanding of (peri-)tumoral 18F-FDG distribution, and could hence help in correctly identifying and staging malignancies in head and neck and the thyroid on clinical PET/CT [25,26].
Interestingly, the heterogeneity of submillimetric 18F-FDG assessment is continued in the physiological uptake of benign lymph nodes. All analyzed lymph nodes were easily identifiable on high-resolution PET, but none eventually contained malignant tumor. Because no samples of invaded lymph nodes were scanned, we were unable to compare uptake in malignant and benign lymph nodes. While 18F-FDG PET/CT is one of the best staging methods in SCC of the head and neck (HNSCC), these results contain important information on the uptake of 18F-FDG in benign cervical lymph nodes [27]. This important physiological uptake is a typical pitfall in clinical PET/CT and hence stresses the important ambiguity in differentiating between benign and malignant cervical lymph nodes in patients diagnosed with head and neck cancer based on their PET/CT [24]. This ambiguity is emphasized by the results of a recent large multicenter study where, on visual reading of 18F-FDG PET/CT in the clinically N0 neck of patients with HNSCC, a negative predictive value of 0.87 was associated with a limited positive predictive value of only 0.44 [28]. More in depth research on the specific uptake in benign and malignant cervical lymph nodes could help in the future clinical staging of patients with HNSCC.
The proposed technique to assess tumoral margins is one of many novel techniques that have been proposed to increase the intraoperative identification of malignant tumor [29]. However, these techniques are characterized by inherent limitations, of which one recurring limitation is the limited penetration depth resulting in a limited assessment of the deep resection margins [8]. This lack of three-dimensional insight results in a difficult identification of the malignant tumor with sufficient accuracy and certainty. While the here-described methodology has no impact on the in situ identification of malignant tumor, it does demonstrate a possible solution to assess the malignant tumor within the resected specimen ex vivo with increased certainty. In contrast to e.g., breast cancers, where a negative margin is defined as no tumor on the inked specimen edge, multiple cancers, including HNSCC, require a margin of preferably five millimeters around the tumor [2,30]. To assess these deep margins, a thorough understanding of the signal depth is required, which might be missed using superficial imaging-techniques, but could be visualized using high resolution PET/CT.
Optimizing the correlation of the PET imaging with histopathology could increase our current understanding of 18F-FDG distribution in and around human malignancies. After all, it is known that 18F-FDG might be suboptimal in identifying margin status with sufficient certainty in mucosal malignancies of the head and neck. Our results display the low specificity and consequential uncertainty of using a metabolic tracer such as 18F-FDG for margin assessment in HNSCC. Using more tumor-specific PET-tracers, such as the prostate specific membrane antigen (PSMA) in prostate cancer [31], or more recently fibroblast activation protein inhibitor (FAPI)-targeting agents [32], could significantly increase both the specificity and sensitivity of the technique. Moreover, recent evolutions in translational nuclear medicine resulted in the development of repurposed hybrid fluorescent and radionuclide tracers which are revolutionizing the sentinel node procedure [33,34], and novel tumor-targeting hybrid tracers are being developed in preclinical and ex vivo clinical trials [35,36,37]. These hybrid tracers display the possible synergistic value of using both radionuclides and fluorescence intraoperatively to assess the margins in situ, using fluorescent imaging to plan and perform the surgery, supplemented with ex vivo PET/CT of the resected specimen to image the margins in three dimensions. Not only can positive section margins be visualized, the complete tumor is visualized within the resected specimen.
However, an important requirement for possible clinical implementation is the technique’s logistic feasibility. As this is a rather complex and inherent multidisciplinary technique, efficient communication between all medical departments needs to be guaranteed. The current study protocol takes over 40 min from excision to completion of scanning, not including the time needed to deliver the sample from the operating theater to the scanner room. As the current study protocol did not require immediate feedback to the surgeon, we used a rather long scanning protocol to ensure sufficient data, but as displayed in Supplementary Material S3, activity reduction and decreased scanning time allow sufficient imaging contrast when balanced correctly. Protocol optimization for clinical settings by reducing PET-acquisition time and relocating the PET/CT devices closer to the operating room could decrease the necessary time to finish the protocol. Moreover, with an optimized protocol, the PET/CT images could be available during the surgical procedure. While the proposed technique will not immediately replace the gold standard of histopathology, it could potentially enable the intra-operative identification of both superficial and close margins at risk, hence guiding the surgeon to these regions at risk for further pathological analysis.
We do acknowledge some limitations in the current trial. Because this was a proof-of-concept study, we included only a limited and heterogeneous group of patients, making statistical analysis impossible. Further investigation in specific tumor types could verify our results. While we were able to visualize 18F-FDG uptake in all scanned specimens, we acknowledge the inherent limitations of the tracer itself. Moreover, the difficulty to co-register the PET-images with the histopathology limits the exact correlation between PET-imaging and the pathological results with sufficient accuracy. Improving the co-registration between PET-imaging and histopathology would ensure the direct correlation between the imaging and pathological results. When direct co-registration could be obtained, the accurate values for sensitivity and specificity of 18F-FDG PET/CT could be obtained on this submillimetric scale.
5. Conclusions
In the current proof-of-concept study, we analyzed the capacity of a submillimetric PET/CT to assess 18F-FDG distribution in resected surgical samples from patients diagnosed with cancers of the head and neck. To the best of our knowledge, the current study is the first to use high-resolution 18F-FDG-PET/CT for assessing tumoral margins in resected tissue of the head and neck. These results display the feasibility and proof-of-concept of high-resolution PET to image 18F-labelled radionuclides in resected surgical samples in the head and neck. The findings of the current trial show the potential of ex vivo PET-imaging in margin assessment of head and neck resection specimens, but also in a more in-depth understanding of 18F-FDG uptake in malignancies.
Acknowledgments
The authors would like to thank Eva Kint for ensuring radioprotection during the course of the study, Sasha Libbrecht for assisting in sample preparations and Benedicte Descamps for assisting in sample imaging.
Supplementary Materials
The following are available online at https://www.mdpi.com/article/10.3390/jcm10163737/s1, Supplementary Material S1: PET/CT-imaging of the surgical specimens, Supplementary Material S2: 3D video render of the PET/CT-imaging of specimen 2, Supplementary Material S3: Simulation of PET-acquisition with lower administered 18F-FDG and shorter scanning protocol.
Author Contributions
Conceptualization, V.K.; W.H. and J.M.D.; methodology, J.M.D., V.S., D.C., Y.D., V.K., C.V. and W.H.; Investigation, J.M.D., L.B., D.C., Y.D., P.D., K.V.d.V., C.V. and W.H. formal analysis, J.M.D., D.C., V.K., K.V.d.V. and W.H.; resources, V.S., V.K. and C.V.; data curation, J.M.D. and C.V.; writing—original draft preparation, J.M.D.; writing—review and editing, V.S., L.B., D.C., Y.D., P.D., V.K., K.V.d.V., C.V. and W.H.; visualization, J.M.D., C.V.; supervision, P.D., V.K. and W.H.; project administration, J.M.D. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Institutional Review Board Statement
The study was conducted according to the guidelines of the Declaration of Helsinki, and approved by Ethics Committee of the Ghent University Hospital (registration number 2019/1135; initial approval on 1 July 2019).
Informed Consent Statement
Informed consent was obtained from all subjects involved in the study.
Conflicts of Interest
V.K. is a board member of XEOS Medical and holds shares in Molecubes NV. The other authors have no financial or personal relationship with other people or organizations that could inappropriately influence or bias the currently submitted work.
Footnotes
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.
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