==== Front Clin Transl Radiat OncolClin Transl Radiat OncolClinical and Translational Radiation Oncology2405-6308Elsevier S2405-6308(18)30041-710.1016/j.ctro.2018.07.003ArticleVerification of HE-based CTV in laryngeal and hypopharyngeal cancer using pan-cytokeratin Ligtenberg Hans h.ligtenberg@umcutrecht.nla⁎Willems Stefan M. s.m.willems-4@umcutrecht.nlbRuiter Lilian N. l.n.ruiter-5@umcutrecht.nlbJager Elise Anne e.a.jager@umcutrecht.nlaTerhaard Chris H.J. c.h.j.terhaard@umcutrecht.nlaRaaijmakers Cornelis P.J. c.p.j.raaijmakers@umcutrecht.nlaPhilippens Marielle E.P. m.philippens@umcutrecht.nlaa Department of Radiotherapy, University Medical Center Utrecht, PO Box 85500, 3508 GA Utrecht, The Netherlandsb Department of Pathology, University Medical Center Utrecht, PO Box 85500, 3508 GA Utrecht, The Netherlands⁎ Corresponding author at: Department of Radiotherapy, Q00.3.11, University Medical Center Utrecht, PO Box 85500, 3508 GA Utrecht, The Netherlands. h.ligtenberg@umcutrecht.nl11 7 2018 8 2018 11 7 2018 12 21 27 17 5 2018 6 7 2018 9 7 2018 © 2018 The Authors2018This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).Highlights • Currently clinical CTV margins lack evidence and need (histopathological) validation. • Tumor outline on HE and pan-cytokeratin staining are comparable for laryngeal cancer. • HE-based delineations can be used for histopathology based CTV-margin definition. Background For accurate target definition, we determined margins for the clinical target volume (CTV) for laryngeal and hypopharyngeal cancer in computed tomography (CT, 4.3 mm), magnetic resonance imaging (MR, 6.1 mm) and fluorodeoxyglucose (FDG)-positron emission tomography (PET, 5.2 mm). Previously, we used Hematoxylin-eosin (HE) stained whole-mount sections of total laryngectomy specimens as gold standard to define CTV margins. In the present study, we verified the HE-based tumor delineation with staining for pan-cytokeratin, specific for squamous cell carcinoma. Methods Twenty-seven patients with a T3/T4 laryngeal hypopharyngeal tumor were included. From each patient, a total laryngectomy specimen was obtained. Four subsequent 3-mm thick slices containing tumor were selected of which 4-µm thick whole-mount sections were obtained and stained with HE and for pan-cytokeratin CK-AE1/3. Tumors were microscopically delineated on both sections by an experienced head-and-neck pathologist. Tumor delineations were compared using the conformity index (CI) and the distance between both contours. Results The CI between HE-based and CK-AE1/3-based tumor delineations was 0.87. The maximum and 95th percentile (p95) extent of the HE-based tumor delineations from the CK-AE1/3-based tumor delineations were 1.7 mm and 0.7 mm, respectively. The maximum and p95 extent of the CK-AE1/3-based tumor delineations from the HE-based tumor delineations was 1.9 mm and 0.8 mm, respectively. Conclusions Histopathological assessment of tumor outline on standard HE-stained sections is comparable to microscopic tumor extent based on squamous cell specific pan-cytokeratin staining. Therefore, CTV margins based on HE based tumor contour will be adequate. Abbreviations HE, hematoxylin-eosinCTV, clinical target volumeCT, computed tomographyMRI, magnetic resonance imagingFDG-PET, fluoro-deoxyglucose positron emission tomographyCI, conformity indexp95, 95th percentileGTV, gross tumor volumeSCC, squamous cell carcinomaCK-AE1/3, cytokeratin AE1/3 antibodiesTLE, total laryngectomyHIER, heat-induced epitope retrievalPBS, phosphate-buffered salineDAB, diaminobenzidineTME, tumor microenvironmentKeywords Head and neckSquamous cell carcinomaHistopathologyPan-cytokeratinTarget definitionHE ==== Body Introduction In radiotherapy, accurate target definition is a crucial step to perform optimal radiation treatment of the tumor [1]. Inaccurate target definition might result in reduced local tumor control or increased side effects in case of overestimation of tumor size [2], [3], [4]. Currently, clinical CTV margins lack evidence and are mostly based on clinical experience. Therefore, further validation is needed using histopathology or detailed recurrence localization [5], [6]. In current clinical practice, various imaging modalities such as computed tomography (CT), magnetic resonance imaging (MRI), and fluorodeoxyglucose positron-emission tomography (FDG-PET) can be used for gross tumor volume (GTV) delineation [7], [8]. Due to the limited resolution of the images and partial volume effects, some microscopic tumorous tissue will not be visible using these imaging modalities. This microscopic tumor tissue, however, needs to be incorporated in the treatment for effective radiotherapy, which is achieved by expansion of the GTV to a clinical target volume (CTV). Expansion of the GTV can be done either by including anatomical regions with high risk of microscopic spread or by concentric geometric expansion using CTV margins. Geometric expansion might be preferable, as a recent study indicated that this method is less prone to treatment plan variations between different radiotherapy departments [9]. CTV margins have been estimated based on either post hoc evaluation of local recurrences or on examination of the microscopic tumor extent in histopathological specimens [6], [10], [11], [12], [13], [14], [15], [16]. The literature on the microscopic spread of primary head and neck tumors is sparse [17], but studies by Campbell et al. [10] and Fleury et al. [11] demonstrated that microscopic disease was mainly limited within 5 mm of the GTV defined macroscopically on whole-mount sections. For laryngeal and hypopharyngeal squamous cell carcinomas (SCCs) we concluded, in a previous study, that concentric geometric expansion of the GTV with these CTV margins should be 4–7 mm, dependent on the imaging modality used for GTV delineation [12]. These margins were derived by comparison of the GTVs delineated on CT, MRI and PET with the delineations of the microscopic tumor on whole-mount histopathological sections stained with hematoxylin-eosin (HE). These HE-based delineations were used as gold standard for CTV definition. The assumption was made that all microscopic tumor is visible on the HE stained sections as HE-staining is clinically used to assess excision adequacy by evaluating the presence of tumor at the margins of resection. Furthermore, HE-based tumor delineations show a low interobserver variation among pathologists, which indicates high precision of these delineations [18]. However, the question remained whether HE staining is sensitive enough for detecting all microscopic tumor growth. Therefore, verification of the HE-based tumor delineations is needed using another, more specific staining. Squamous cells and accordingly SCCs are characterized by the expression of cytokeratins which can be immunohistochemically demonstrated using a pan-cytokeratin staining, such as cytokeratin-AE1/3 (CK-AE1/3), a cocktail of multiple antibodies directed against the epitopes of the most common keratins. Because of the high sensitivity of squamous cells for cytokeratin staining, it is particularly useful in clinical practice to identify or confirm the diagnosis SCC [19]. Therefore, the microscopic tumor visible on HE-stained sections might be intrinsically different from the microscopic tumor visible on sections stained for CK-AE1/3. In this original study we use pan-cytokeratin CK-AE1/3 staining to investigate whether microscopic tumor delineations essentially differ from HE-staining in inclusion of all microscopic tumor tissue. This addresses the question whether HE based delineations adequately indicate the tumor for CTV margin definition. Material and methods Patient and tissue selection In this study, 24 patients out of 27 patients included from an imaging-validation study were used in the present study [12]. These patients had primary cT3 (N = 4) or cT4 (N = 23) laryngeal or hypopharyngeal squamous cell carcinoma and were imaged with CT, MRI and FDG-PET prior to total laryngectomy (TLE). Tumor stage changed after pathology for one patient from cT3 to pT2, another patient from cT3 to pT4, and another patient from cT4 to pT3. The exclusion criteria for this study were contraindications for CT and for MRI contrast administration and insulin-dependent diabetes mellitus. Three patients were excluded after inclusion, because a tumor biopsy was performed between imaging and surgery, the tumor was fragmented during surgery, and one tumor was too large to fit on the whole-mount slides used for histopathology. The optimization of the specimen preparation process was completed in six patients prior to inclusion of the here reported 27 patients. From the laryngectomy specimens of these patients, the complete tumor was sliced in axial histological tissue blocks of three millimeter thickness. For each patient, four successive tissue blocks containing tumor and the first cranial and first caudal tissue blocks without tumorous tissue (if available) were selected based on the corresponding HE-stained sections obtained for the imaging validation study [12]. In total, 108 central tissue blocks and 26 cranial and caudal tissue blocks were selected for further analysis, 28 cranial or caudal tissue blocks were missing. Staining procedure Microscopic slices were obtained from the selected paraffin-embedded tissue blocks. Per tissue block 10 consecutive 4 µm whole-mount sections were obtained, of which two were used in this study: one stained with HE and another one for CK-AE1/3. The HE-staining was performed manually according to our clinical staining protocol. The sections were first deparaffinized and rehydrated, then stained with hematoxylin and eosin (Dako, Agilent Technologies, Santa Clara, California) and finally dehydrated and mounted. For immunohistochemical CK-AE1/3 staining, the sections were deparaffinized in xylene and rehydrated in 70% ethanol. Subsequently, the endogenous peroxidase activity was blocked by incubation in 5% solution of 30% hydrogen peroxidase in phosphate buffered saline (PBS) for 15 min. Heat induced epitope retrieval (HIER) was performed in 10 mM sodium citrate buffer (pH 6.0) at 80 °C in a stove for 30 min to reduce cartilage detachment. After HIER, the sections were rinsed with PBS and incubated in the primary antibodies CK-AE1/3 (1:250, Thermo Fisher Scientific Inc., Waltham, Massachusetts) for 60 min. After careful rinsing with PBS, the secondary antibody was applied for 30 min. After applying the secondary antibody and rinsing with PBS, diaminobenzidine (DAB) staining was applied for 10 min. The sections were counterstained with hematoxylin, air-dried and mounted in ClearVueTM (Thermo Fisher Scientific Inc.) (Fig. 1).Fig. 1 CK-AE1/3 DAB-staining of a part of the tumor of patient 18 at different magnifications. The salivary gland is an internal positive control for the staining. *: salivary gland; T: tumor. Analysis An experienced head-and-neck pathologist microscopically delineated tumorous tissue on both the HE and CK-AE1/3 stained sections (Fig. 2). The manual delineations with a 0.6-mm thick permanent marker pen were performed independently and separately. The available cranial and caudal sections were checked for presence of tumor deposits by systematic evaluation of these sections using a microscope.Fig. 2 A comparison of tumor delineations based on CK-AE1/3 (a,c) and HE staining (b,d) for a histology section of patient 7 (a,b) and patient 24 (c,d). The CI for between the HE-based delineation (red contour) and the CK-AE1/3-based delineations (blue contour) of the shown tumor is 0.89 and 0.88 for patient 7 and patient 24, respectively. For patient 24, the main difference is due to inclusion or exclusion of desmoplasia (arrow). After the first contouring session, the sections were digitized and rigidly registered to each other by selecting manually 3–5 corresponding anatomical landmarks close to or in the tumor on both sections. The delineations were digitized by manually tracing the delineation of the tumor contour using an in-house developed software package [20]. If cartilage was lost during the staining process, resulting in discrepancies between the delineations on both stained sections, the delineations in the cartilage were adapted to either one of the stainings. The maximum distance between the two delineations was determined. As the goal was to find intrinsic difference between the tumor contour on HE and CK-AE1/3, the larger distances (>2 mm) between the HE-based and the CK-AE1/3 based delineations were re-evaluated. If discrepancies were due to sample and human errors, i.e. tissue displacements, tissue loss or inattentiveness, these delineations were corrected. The revised delineations were used for further analysis. The conformity of both delineations was measured by the conformity index: (1) ConformityIndex=AHEACKAEAHEACKAE;0⩽CI⩽1 with:A[staining]=Areaofstaining, with AHE and ACKAE the total delineated area per patient on HE and CK-AE1/3 stained section. A conformity of 1 indicates a perfect overlap of both delineations, and a conformity of 0 indicates no overlap between both delineations. The CIs were compared with the expected variation of the CI due to the marker thickness for several tumor volumes. To assess the effect of the marker thickness on CI, the uncertainty on the CI was modeled as (2) CIexpected=Acircle(r)Acircle(r+Δr) with Asphere(r) the area of a circle with radius r and Δr the marker thickness. In this model we assume a circular shaped tumor delineation with an area that might vary between the inner and outer contour of the marker delineation. The correlation between the CI and the delineated tumor area was determined per patient. Furthermore, a distance analysis was performed to describe the difference between the tumor delineations on both histological stained sections. The shortest distances from the contour of one staining to each position on the extending contour of the other staining were calculated per patient using the Hausdorff distance. This distance calculation was done for both the extent of the HE-based delineation to the CK-AE1/3-based delineation (HE-CKAE extent) and vice versa. From these distances the 95th percentile distance (p95-distance) and the maximum distance were determined. To account for tissue shrinkage between the macroscopic 3 mm thick slices and the histological sections, a 12% scaling factor was applied for the distance analysis, as a similar shrinkage was determined by Caldas-Magalhaes et al. [21]. Statistics The Wilcoxon paired signed-rank test was used in all comparisons to determine significant differences, defined as a p-value lower than 0.05. To determine the correlation between tumor volume and CI, the Spearman rank correlation was determined. All statistical analyzes were performed using the statistics software package GraphPad Prism® 6.07 (GraphPad Software Inc., La Jolla, California). Results In total, 134 sections of 27 patients were examined after staining for HE and CK-AE1/3 They consisted of 108 sections containing tumor tissue and 26 cranial/caudal sections. The median CI quantifying the conformity between the HE-based delineations and the CK-AE1/3-based delineations, was 0.87 (range 0.82–0.95) (Table 1). This result shows that the HE-delineation and CK-AE1/3 delineation agree in 87% of the delineated area (Fig. 3). A correlation of 0.71 (p < 0.0001) between delineated tumor area and CI existed. Frequently, variations between the delineation of both stainings could be attributed to inclusion or exclusion of tumor microenvironment (TME) containing no neoplastic tumor cells, but cancer associated fibroblast, tumor induced neo-vasculature and inflammatory cells attracted by the tumor (Fig. 3, Fig. 4).Table 1 Conformity parameters between HE-based and CK-AE1/3-based tumor delineations. Patnr. Tumor vol. [ml] CI HE-CKAE1/3 extent [mm] CKAE1/3-HE extent [mm] P95 Maximum P95 Maximum 1 14.2 0.88 0.7 2.7 0.7 2.1 2 6.7 0.86 0.6 1.4 1.1 2.1 3 3.4 0.86 0.8 1.5 0.6 1.3 4 8.7 0.90 0.7 2.2 0.8 1.6 5 17.7 0.93 0.4 1.4 0.9 1.7 6 5.9 0.85 0.6 2.0 1.5 2.7 7 5.2 0.85 0.3 1.5 1.2 2.1 8 3.4 0.85 0.7 1.4 0.7 1.3 9 7.3 0.85 1.0 2.4 0.9 2.7 10 4.7 0.82 0.3 1.3 1.4 2.8 11 23.0 0.92 0.7 1.7 1.0 1.9 12 5.6 0.86 0.6 2.7 0.9 1.6 13 12.9 0.83 1.0 2.4 0.7 2.5 14 10.5 0.88 0.5 1.5 1.0 2.2 15 7.3 0.87 0.4 1.2 1.1 2.0 16 39.6 0.91 1.3 3.4 0.7 1.6 17 16.1 0.87 0.9 2.2 0.8 2.2 18 15.8 0.91 0.8 1.6 0.8 1.7 19 7.7 0.89 0.8 1.7 0.7 1.6 20 29.0 0.95 0.8 1.6 0.6 1.8 21 8.5 0.84 1.0 1.9 1.2 2.8 22 15.2 0.93 1.0 2.9 0.6 1.4 23 13.6 0.86 0.6 1.3 0.6 1.4 24 47.6 0.91 0.7 1.7 1.0 2.6 25 10.6 0.93 0.7 1.5 0.8 2.9 26 7.9 0.87 0.8 1.9 0.7 1.6 27 68.6 0.94 1.1 2.2 0.7 1.8 Median 0.87 0.7 1.7 0.8 1.9 CI: conformity index; HE-CKAE1/3 extent: the distance from the contour of tumor delineation on hematoxylin-eosin (HE) stained sections to the closest point on the contour of the tumor delineation on sections stained for pan-cytokeratine (CK-AE1/3). CKAE1/3-HE extent: the distance from the contour of the tumor delineation on sections stained for pan-cytokeratine (CK-AE1/3) to the closest point on the contour of the tumor delineation on hematoxylin-eosin (HE) stained sections; P95: 95th percentile of the measured distances from one contour to the other contour. Tumor volumes were published earlier in Ligtenberg et al. Radiother. Oncol. (2017). Fig. 3 The conformity index (CI) between the CK-AE1/3-based tumor delineation and the HE-based tumor delineation for 27 laryngeal carcinomas. The dashed line shows the simulated CI resulting from the marker thickness of 0.6 mm. Fig. 4 The extent of both tumor delineations from each other. (a) The extent of the HE-delineation from the CK-AE1/3-delineation and (b) the extent of the CK-AE1/3-delineation from the HE-delineation. The maximum and 95th percentile (p95) extent for each patient are represented by an open square and a closed dot respectively. The expected CI due to the thickness of the marker on the overlap ranged from 0.76–0.94 (Fig. 3). The p95-distance and the maximum distance between both contours were calculated to determine how far the delineations deviate from each other (Fig. 4, Table 1). The median p95-distance of the extent of the HE-based delineations from the CK-AE1/3 based delineations (HE-CKAE extent) was 0.7 mm (range 0.3–1.3 mm) and the extent of the CK-AE1/3-based delineations from the HE-based delineations (CKAE-HE extent) was 0.8 mm (range 0.6–1.5 mm). The p95-distances were comparable for both stainings (p = 0.19) and were close to the pencil thickness used for delineation. The maximum extent was 1.7 mm (range 1.2–3.4 mm) for the HE-based delineation and 1.9 mm (range 1.3–2.9 mm) for the CK-AE1/3-based delineation and were not significantly different (p = 0.31) from each other. In one of the sections of patient 22, an isolated microscopic tumor deposit, with a maximum diameter of 1.0 mm, was observed in both the CK-AE1/3 and the HE sections, at a distance of 4.3 mm from the main tumor bulk in the neighboring histological section (Fig. 5). This microscopic tumor deposit was surrounded by a layer of endothelial cells, indicating lymphogenic or hematogenous spread. The previously developed CTV margins of 4–6 mm incorporated this tumor deposit.Fig. 5 The only section with a tumor deposit, observed both on the whole-mount sections stained for CK-AE1/3 and HE. (A) The delineation of the tumor on the CK-AE1/3 section (black line) and the delineation of the tumor on a neighboring section 3 mm apart (blue dashed line) are shown. The isolated tumor deposit is located closer to the main tumor delineated in the neighboring section than to the main tumor delineated in the section where the tumor deposit is detected. The tumor deposit (red dashed rectangle) is shown at larger magnification on the (B) CK-AE1/3 and (C) HE sections. The cranial and caudal sections were microscopically examined for the existence of tumorous deposits, but no tumor deposits were observed in these sections. Discussion In this study, we evaluated the HE-based tumor delineations, used as a gold standard for CTV-margin definition, by comparison with CK-AE1/3-based tumor delineations. The CTV-margins for laryngeal and hypopharyngeal squamous cell carcinoma derived in our previous study were based on tumor delineations on histological sections stained with HE [12]. This is the first study which investigated the differences between HE-based tumor delineations and these based on immunohistochemical staining for cytokeratin. We observed that the HE-based tumor delineations were comparable to the CK-AE1/3-based tumor delineations within two millimeters. The variation between both tumor delineations, quantified using the conformity index (CI), was comparable to the interobserver variation on HE-based tumor delineations as determined by Jager et al. who reported a CI of 0.87 [18]. These results show that the added value of pan-cytokeratin staining for microscopic tumor definition was negligible and did not dictate adjustment of the previously developed CTV margins. Therefore, HE-based tumor delineations can be used in validation studies as gold standard target definition for laryngeal and hypopharyngeal carcinoma in radiotherapy. No isolated microscopic tumor spread was observed near the main tumor bulk except for one lymphogenic-/hematogenous micrometastasis located within 4 mm from the main tumor bulk, which was visible on both HE and CK-AE1/3 stained sections. The differences between CK-AE1/3 and HE based tumor delineations were small compared to the differences between HE based and clinical imaging based GTV delineations asfor CT and MRI the CI was 0.47 and 0.55, and the maximum extent was 4.6 mm and 4.3 mm [7], [12], [22], respectively. Effectively, the observer variations on imaging and histology were both part of these microscopic tumor extents, and thus taken into account in the derived CTV margins. Therefore, an additional margin for the pathological inter/intra-observer variation was unnecessary. As generally, a correlation between CI and tumor volume was observed in our study, which is caused by the inherently higher sensitivity of the CI for variations in small volumes than for larger volumes. The tumor stage of the patients included in this study was predominantly T4, whereas usually patients treated with radiotherapy have lower stage tumors (T1b-T3). The lower stage tumors are typically smaller than the high stage tumors, and thus, this study might show higher CI than for tumors indicated for radiotherapy. The measured CI for the two types of tumor delineations was closely following the simulated CI calculated for a marker thickness of 0.6 mm. This suggests that the tumor delineations were similar and that delineation variation can partially be attributed to the physical marker thickness. Delineations of the tumor boundary can be considered to be different when the distance between the digitized delineations is larger than twice the marker thickness. It is known that tumor delineation and even diagnosis of invasion into cartilage or bone is difficult on CT and MRI data [23], [24]. We also found these discrepancies between HE and cytokeratin based delineations. The discrepancy in delineations for tumor invaded cartilage is in correspondence with the high interobserver variation for delineation of cartilage invasion on HE stained sections [18]. We observed that the tumor tissue was sometimes discontinuously infiltrating the bone marrow and that background staining was high in this area for CK-AE1/3; both might have resulted in the variation between HE and CK-AE1/3 based delineations in the cartilage. Dissimilarities in delineation contour between HE and CK-AE1/3 might be attributed to varying inclusion and exclusion of TME at the border of the tumor. Whether TME should be included in the CTV, and thus needs to be irradiated, is subject of an ongoing debate. Currently the TME is seen as an important protector of malignant cells [25]; irradiation of the TME might therefore affect tumor proliferation. Clear delineation guidelines to include or exclude TME might have reduced the variation between HE based and CK-AE1/3 based tumor delineations, as the inclusion of TME was inconsistent, both on HE and CK-AE1/3 stained sections. In several cases, staining for CK-AE1/3 was weak, which might be caused by dedifferentiation of tumors, which can reduce the amount of cytokeratin expressed in the tumor tissue, as was shown for cytokeratin-17 in oral SCCs [26], [27]. As such, some dedifferentiated regions of the tumor were detected more easily on HE than on CK-AE1/3 stained sections. In our study, we observed that when two dimensional (2D) sections were inspected, apparent isolated tumor deposits seemed to exist. However, when adjacent sections were taken into account, they appeared connected to the main tumor. Therefore, in general, to determine the existence of isolated tumor deposits, taking into account the three-dimensional tumor shape is of utmost importance in radiotherapy. However, when comparing tumor contours based on two different staining methods on sections less than 40 µm apart, small differences can be expected in tissue structure. Therefore, in this study, distance analysis was performed in the sectional plane only. In this study, only patients with larynx and hypopharynx tumors indicated for surgery were included with a relatively high stage (T3/T4) compared to patients with T1b, T2 or T3 tumors who are typically indicated for radiotherapy. These tumors with a lower T stage as well as squamous cell carcinoma in other head-and-neck regions may present different tumor characteristics. We expect that the comparison of tumor contours on CK-AE1/3 and HE sections would be comparable to the higher T stage cases in the present study. Additionally, the question rises whether the CTV margins defined on the current study population might be transferred to other head-and-neck regions. As pattern of invasion and perineural growth in laryngeal cancer might be different from cancer in other head-and neck regions, transferring the CTV margins to these regions should be handled with caution [28]. Only a rigid registration of the stained section was performed in this study. However, deformable registration does not appear to be required, as the contours after rigid registration showed a high conformity. Although we observed only one isolated tumor deposit in our study, single isolated tumor cells or very small tumor deposits might be below our detection level. However, it is questionable whether these very small tumor deposits and isolated tumor cells should be included in the primary tumor CTV, an elective radiation dose might be enough. Another question is which dose level is adequate for the CTV. As is discussed by Gregoire et al. [5] a two-level dose for the CTV might be implemented. For the near tumor CTV a high dose to adequately irradiate tumor tissue that is not included in the GTV, while at larger distance a lower dose level might be sufficient. Conclusion In conclusion, HE-based tumor delineations are comparable to CK-AE1/3-based tumor delineations in laryngeal and hypopharyngeal squamous cell carcinoma. Therefore, HE-based tumor delineations are a reliable standard to determine microscopic tumor extent for clinical target volume definition. Consequently, additional CK-AE1/3 staining is not necessary to accurately determine the microscopic tumor extent in validation studies. Acknowledgement This work was supported by the Dutch Cancer Society Grant UU 2011-5152 and UU 2011-5216. Disclosure statement No potential conflict of interest was reported by the authors. Conflict of interest statement None. ==== Refs References 1 Rasch C. Steenbakkers R. van Herk M. Target definition in prostate, head, and neck Semin Radiat Oncol 15 2005 136 145 15983939 2 Vinod S.K. Jameson M.G. Min M. Holloway L.C. Uncertainties in volume delineation in radiation oncology: a systematic review and recommendations for future studies Radiother Oncol 121 2016 169 179 27729166 3 Vugts C.A.J.M. Terhaard C.H.J. Philippens M.E.P. Pameijer F.A. Kasperts N. Raaijmakers C.P.J. Consequences of tumor planning target volume reduction in treatment of T2-T4 laryngeal cancer Radiat Oncol 9 2014 195 25190181 4 Samuels S.E. Eisbruch A. Vineberg K. Lee J. Lee C. Matuszak M.M. Methods for reducing normal tissue complication probabilities in oropharyngeal cancer: dose reduction or planning target volume elimination Int J Radiat Oncol 96 2016 645 652 5 Grégoire V. Evans M. Le Q.-T. Bourhis J. Budach V. Chen A. Delineation of the primary tumour Clinical Target Volumes (CTV-P) in laryngeal, hypopharyngeal, oropharyngeal and oral cavity squamous cell carcinoma: AIRO, CACA, DAHANCA, EORTC, GEORCC, GORTEC, HKNPCSG, HNCIG, IAG-KHT, LPRHHT, NCIC CTG, NCRI, NRG Oncolog Radiother Oncol 126 2018 3 24 29180076 6 Apolle R. Rehm M. Bortfeld T. Baumann M. Troost E.G.C. The clinical target volume in lung, head-and-neck, and esophageal cancer: lessons from pathological measurement and recurrence analysis Clin Transl Radiat Oncol 3 2017 1 8 29658006 7 Jager E.A. Ligtenberg H. Caldas-Magalhaes J. Schakel T. Philippens M.E. Pameijer F.A. Validated guidelines for tumor delineation on magnetic resonance imaging for laryngeal and hypopharyngeal cancer Acta Oncol 55 2016 1305 1312 27607138 8 Leclerc M. Lartigau E. Lacornerie T. Daisne J.-F. Kramar A. Grégoire V. Primary tumor delineation based on 18FDG PET for locally advanced head and neck cancer treated by chemo-radiotherapy Radiother Oncol 116 2015 87 93 26088157 9 Hansen C.R. Johansen J. Samsøe E. Andersen E. Petersen J.B.B. Jensen K. Consequences of introducing geometric GTV to CTV margin expansion in DAHANCA contouring guidelines for head and neck radiotherapy Radiother Oncol 126 2018 43 47 28987748 10 Campbell S. Poon I. Markel D. Vena D. Higgins K. Enepekides D. Evaluation of microscopic disease in oral tongue cancer using whole-mount histopathologic techniques: Implications for the management of head-and-neck cancers Int J Radiat Oncol Biol Phys 82 2012 574 581 21300463 11 Fleury B. Thariat J. Barnoud R. Buiret G. Lebreton F. Bancel B. Approche anatomopathologique de l’extension microscopique des carcinomes épidermoïdes ORL: implications pour la définition du volume cible anatomoclinique Cancer/Radiothérapie 18 2014 666 671 12 Ligtenberg H. Jager E.A. Caldas-Magalhaes J. Schakel T. Pameijer F.A. Kasperts N. Modality-specific target definition for laryngeal and hypopharyngeal cancer on FDG-PET, CT and MRI Radiother Oncol 123 2017 63 70 28259450 13 Yuen P.W. Lam K.Y. Chan A.C.L. Wei W.I. Lam L.K. Clinicopathological Analysis of Local Spread of Carcinoma of the Tongue 11The study was supported by a research grant from the University of Hong Kong, grant number 337/048/0014 and 335/048/0081 Am J Surg 175 1998 242 244 9560130 14 Ferreira B. Marques R. Khouri L. Santos T. Sá-Couto P. do Carmo Lopes M. Assessment and topographic characterization of locoregional recurrences in head and neck tumours Radiat Oncol 10 2015 41 25889988 15 Due A.K. Vogelius I.R. Aznar M.C. Bentzen S.M. Berthelsen A.K. Korreman S.S. Recurrences after intensity modulated radiotherapy for head and neck squamous cell carcinoma more likely to originate from regions with high baseline [18F]-FDG uptake Radiother Oncol 111 2014 360 365 24993331 16 Bayman E. Prestwich R.J.D. Speight R. Aspin L. Garratt L. Wilson S. Patterns of failure after intensity-modulated radiotherapy in head and neck squamous cell carcinoma using compartmental clinical target volume delineation Clin Oncol 26 2014 636 642 17 Zukauskaite R. Hansen C.R. Grau C. Samsøe E. Johansen J. Petersen J.B.B. Local recurrences after curative IMRT for HNSCC: effect of different GTV to high-dose CTV margins Radiother Oncol 126 2018 48 55 29248171 18 Jager E.A. Willems S.M. Schakel T. Kooij N. Slootweg P.J. Philippens M.E.P. Interobserver variation among pathologists for delineation of tumor on H&E-sections of laryngeal and hypopharyngeal carcinoma. How good is the gold standard? Acta Oncol 55 2016 391 395 26073449 19 Schweinzer K. Kofler L. Bauer J. Metzler G. Breuninger H. Häfner H.-M. Cytokeratin AE1/AE3 immunostaining and 3D-histology: improvement of diagnosis in desmoplastic squamous cell carcinoma of the skin Arch Dermatol Res 309 2017 43 46 27864629 20 Bol G.H. Kotte A.N.T.J. van der Heide U.A. Lagendijk J.J.W. Simultaneous multi-modality ROI delineation in clinical practice Comput Methods Programs Biomed 96 2009 133 140 19443076 21 Caldas-Magalhaes J. Kasperts N. Kooij N. Van Den Berg C.A.T. Terhaard C.H.J. Raaijmakers C.P.J. Validation of imaging with pathology in laryngeal cancer: Accuracy of the registration methodology Int J Radiat Oncol Biol Phys 82 2012 289 298 22 Caldas-Magalhaes J. Kooij N. Ligtenberg H. Jager E.A. Schakel T. Kasperts N. The accuracy of target delineation in laryngeal and hypopharyngeal cancer Acta Oncol (Madr) 54 2015 1181 1187 23 Van Cann E.M. Rijpkema M. Heerschap A. van der Bilt A. Koole R. Stoelinga P.J.W. Quantitative dynamic contrast-enhanced MRI for the assessment of mandibular invasion by squamous cell carcinoma Oral Oncol 44 2008 1147 1154 18485797 24 Becker M. Zbären P. Laeng H. Stoupis C. Porcellini B. Vock P. Neoplastic invasion of the laryngeal cartilage: comparison of MR imaging and CT with histopathologic correlation Radiology 194 1995 661 669 7862960 25 Relation T. Dominici M. Horwitz E.M. Concise review: an (im)penetrable shield: how the tumor microenvironment protects cancer stem cells Stem Cells 35 2017 1123 1130 28207184 26 Kitamura R. Toyoshima T. Tanaka H. Kawano S. Kiyosue T. Matsubara R. Association of cytokeratin 17 expression with differentiation in oral squamous cell carcinoma J Cancer Res Clin Oncol 138 2012 1299 1310 22466643 27 Van der Velden L.A. Schaafsma H.E. Manni J.J. Ruiter D.J. Ramaekers F.C.S. Kuijpers W. Cytokeratin and vimentin expression in normal epithelium and squamous cell carcinomas of the larynx Eur Arch Oto-Rhino-Laryngology 254 1997 376 383 28 Woolgar J.A. Histopathological prognosticators in oral and oropharyngeal squamous cell carcinoma Oral Oncol 42 2006 229 239 16150633