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Prognostic value of 18F-FDG PET/CT parameters and histopathologic variables in head and neck cancer
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"apellidos" => "Islek" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">c</span>" "identificador" => "aff0015" ] ] ] 7 => array:3 [ "nombre" => "Ibrahim" "apellidos" => "Aladag" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] ] ] 8 => array:3 [ "nombre" => "Ismail Semih" "apellidos" => "Oncel" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] ] ] ] "afiliaciones" => array:3 [ 0 => array:3 [ "entidad" => "Katip Celebi University School of Medicine, Department of Otolaryngology Head and Neck Surgery, Izmir, Turkey" "etiqueta" => "a" "identificador" => "aff0005" ] 1 => array:3 [ "entidad" => "Katip Celebi University School of Medicine, Department of Nuclear Medicine, Izmir, Turkey" "etiqueta" => "b" "identificador" => "aff0010" ] 2 => array:3 [ "entidad" => "Mardin Nusaybin State Hospital, Mardin, Turkey" "etiqueta" => "c" "identificador" => "aff0015" ] ] "correspondencia" => array:1 [ 0 => array:3 [ "identificador" => "cor0005" "etiqueta" => "⁎" "correspondencia" => "Corresponding author." ] ] ] ] "resumenGrafico" => array:2 [ "original" => 0 "multimedia" => array:8 [ "identificador" => "fig0005" "etiqueta" => "Figure 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 1834 "Ancho" => 3263 "Tamanyo" => 313036 ] ] "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at0035" "detalle" => "Figure " "rol" => "short" ] ] "descripcion" => array:1 [ "en" => "<p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">Survey analysis of <span class="elsevierStyleSup">18</span>F-FDG PET/CT metabolic parameters.</p>" ] ] ] "textoCompleto" => "<span class="elsevierStyleSections"><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0040">Introduction</span><p id="par0005" class="elsevierStylePara elsevierViewall">Head and neck carcinomas are an important cause of mortality in humans. Head and neck carcinomas are clinically heterogeneous entities that show disparities in natural course or clinical behaviour depends on the tumor location and histopathologic variables such as, tumor size, stage, lymph node metastases, surgical margin and lymphovascular invasion.<a class="elsevierStyleCrossRefs" href="#bib0005"><span class="elsevierStyleSup">1,2</span></a> However, despite careful evaluation of these factors, it is not possible to reliably predict the outcome of treatment inpatients.</p><p id="par0010" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleSup">18</span>F-FDG PET/CT is based on tumour glucose metabolism and serves as a marker of tumour metabolic activity in terms of cell viability and proliferation. It has been successfully applied in pre-treatment staging, treatment response assessment and post treatment follow-up. It is superior to computed tomography and magnetic resonance imaging in the detection of carcinomas of unknown primary, cervical lymph node or distant metastasis.<a class="elsevierStyleCrossRefs" href="#bib0015"><span class="elsevierStyleSup">3,4</span></a></p><p id="par0015" class="elsevierStylePara elsevierViewall">Recently, <span class="elsevierStyleSup">18</span>F-FDG Metabolic Tumor Volume (MTV) and Total Lesion Glycolysis (TLG), combining the tumour volume and metabolic activity of the entire tumur have been introduced as prognostic biomarkers in various solid malignancies, however their prognostic values are not well established.<a class="elsevierStyleCrossRefs" href="#bib0025"><span class="elsevierStyleSup">5,6</span></a> The value of MTV was already identified in patients with HNSCC who received radiotherapy.<a class="elsevierStyleCrossRef" href="#bib0035"><span class="elsevierStyleSup">7</span></a> In particular, the question of which is the better parameter to predict outcome remains unresolved.</p><p id="par0020" class="elsevierStylePara elsevierViewall">We performed this retrospective study to determine the yield of pretreatment quantitative <span class="elsevierStyleSup">18</span>F-FDG PET/CT parameters and histopathologic variables for the prediction of OS, DFS and lymph node metastasis.</p></span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0045">Methods</span><p id="par0025" class="elsevierStylePara elsevierViewall">This retrospective study was approved by the institutional review board (19-12-2018/423).</p><span id="sec0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0050">Patients</span><p id="par0030" class="elsevierStylePara elsevierViewall">The population of this retrospective study consisted of patients with locally advanced head and neck squamous cell carcinoma involving oropharnyx, hypopharynx, oral cavity and larynx who had FDG PET/CT for initial staging between January 2015 and June 2016. Exclusion criteria were non- squamous cell carcinoma histology, previous treatment, and evidence of distant metastasis. Cancers originating in the salivary gland, thyroid and paranasal sinuses were also excluded. 47 patients were included in this study. All patients underwent surgical resection of primary tumour with cervical neck dissection, followed by radiotherapy with or without concurrent chemotherapy. Indications for postoperative adjuvant therapy relied on postoperative pathologic features. All patients were followed at least two years.</p></span><span id="sec0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0055">F-FDG PET/CT</span><p id="par0035" class="elsevierStylePara elsevierViewall">Patients with glucose level lower than 200<span class="elsevierStyleHsp" style=""></span>mg/dL fasted for 6<span class="elsevierStyleHsp" style=""></span>h prior to intravenous infusion of 0.1<span class="elsevierStyleHsp" style=""></span>mCi/kg <span class="elsevierStyleSup">18</span>F-FDG. PET/CT was performed on GE Discovery 710. CT (50 mAs, 120<span class="elsevierStyleHsp" style=""></span>kV, 3.75<span class="elsevierStyleHsp" style=""></span>mm section thickness) was performed without intravenous contrast administration. PET scan was performed immediately after CT and whole body images from skull base to upper thigh were scanned on average 7–8 bed positions (2<span class="elsevierStyleHsp" style=""></span>min per bed position).</p></span><span id="sec0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0060">Image analysis</span><p id="par0040" class="elsevierStylePara elsevierViewall">Volumetric region of interest were placed over areas of abnormal <span class="elsevierStyleSup">18</span>F-FDG uptake. Standardized uptake values (SUV<span class="elsevierStyleInf">max</span> and SUV<span class="elsevierStyleInf">mean</span>), Metabolic Tumor Volume (MTV) and Total Lesion Glycolysis (TLG) of primary tumor and neck lymph nodes were evaluated for each patient. A threshold of 42 % of maximum signal intensity was used to delineate the MTV. TLG was calculated as the product of lesion means standardized uptake value and MTV. FDG uptake was defined to be positive qualitatively when a focal FDG uptake was higher than the normal biodistribution of background FDG activity. After correlating abnormal CT findings, increased focal FDG uptake was accepted pathological diseases. When the positive lymph nodes were evaluated, its size and metabolic activity were described. In the presence of more than one lymph node, anatomically the largest one and the most active lymph nodes were described.</p></span><span id="sec0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0065">Statistical analysis</span><p id="par0045" class="elsevierStylePara elsevierViewall">All statistical analysis was performed using the SPSS windows 15.0 software (SPSS, Chicago, Illionis). Univariate analysis was used to identify clinical factors and imaging parameters predictive of Disease-Free Survival (DFS) and Overall Survival (OS) by using the ×2 or Fisher’s exact test. We determined the cut-off values for various FDG-uptake parameters (SUV<span class="elsevierStyleInf">max</span>, MTV, TLG). Disease free survival and overall survival curves were calculated using the Kaplan-Meier method. The log-rank test was used to compare survival rates according to imaging parameters. In the univariate analysis, all patients were separated into 2 groups based on the SUV<span class="elsevierStyleInf">max</span>, MTV and TLG. The relationships between the two groups of each FDG-uptake parameters with survival and lymph node metastases were compared using χ<span class="elsevierStyleSup">2</span> test. A value of <span class="elsevierStyleItalic">p</span> less than 0.05 was considered significant.</p></span></span><span id="sec0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0070">Results</span><span id="sec0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0075">Patient characteristics</span><p id="par0050" class="elsevierStylePara elsevierViewall">47 patients were included in this study. The study group was composed of 40 male and 7 female patients with the mean age of 63 years (range 43–89 years). All patients included in this study were diagnosed with locally HNSCC, including 16 TNM stage IV, 15 Stage III and 16 Stage II. The larynx was the most common site of primary tumour, observed in 31 patients (65.9 %). Poor differentiation were observed in 20 patients (42.5 %). The tumour progression was identified in 8 patients (17 %): in a local site in 2 (4 %) patients, in a regional site in 3 patients and distant sites in 3 patients in the follow-up. 39 patients were alive without disease for 3 years.</p><p id="par0055" class="elsevierStylePara elsevierViewall">The median MTV, TLG and SUV<span class="elsevierStyleInf">max</span> were 7.63<span class="elsevierStyleHsp" style=""></span>cm<span class="elsevierStyleSup">3</span> (0.6–34.3), 68.9<span class="elsevierStyleHsp" style=""></span>g (2.58–524.5<span class="elsevierStyleHsp" style=""></span>g), 13.89 (4.89–33.03<span class="elsevierStyleHsp" style=""></span>g/mL), respectively. There was no significant relationship between PET parameters and survival. Only lateral lymph node metastases and tumor differentiation reached significance (<a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>). SUV<span class="elsevierStyleInf">max</span>, MTV and TLG values did not reach significance for patients with lymph node metastasis. TNM stage and perineural or perivascular invasion were significantly associated wilt lymph node metastases (<a class="elsevierStyleCrossRef" href="#tbl0010">Table 2</a>). From the ROC curve analysis, the SUV<span class="elsevierStyleInf">max</span>, MTV and TLG cut-off values for patients with survival relationship were shown in <a class="elsevierStyleCrossRef" href="#fig0005">Fig. 1</a>.</p><elsevierMultimedia ident="tbl0005"></elsevierMultimedia><elsevierMultimedia ident="tbl0010"></elsevierMultimedia><elsevierMultimedia ident="fig0005"></elsevierMultimedia></span></span><span id="sec0045" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0080">Discussion</span><p id="par0060" class="elsevierStylePara elsevierViewall">FDG PET/CT simultaneously providing anatomical and functional information is useful for the detection of primary tumor metastases, synchronous primary tumor, RT planning, assessment of treatment response and surveillance for tumor recurrence and metastases after treatment.<a class="elsevierStyleCrossRef" href="#bib0005"><span class="elsevierStyleSup">1</span></a> Functional imaging of FDG PET/CT can provide metabolic information on malignant tissues and make it possible to reflect the tumor burden more accurately. Various F-FDG PET parameters have been investigated in solid tumours, MTV, which is a measure of the volume of the tumour displaying F-FDG uptake and quantifies the overall tumour burden, is a better predictor of outcome than SUV<span class="elsevierStyleInf">max</span>. TLG have been developed to measure metabolic activity in an entire tumor mass.<a class="elsevierStyleCrossRefs" href="#bib0040"><span class="elsevierStyleSup">8–10</span></a> Therefore, volume-based parameters such as MTV and TLG may reflect the metabolic burden of the active tumour more accurately than SUV<span class="elsevierStyleInf">max</span>.</p><p id="par0065" class="elsevierStylePara elsevierViewall">Many studies have shown that elevated MTV,TLG and SUV<span class="elsevierStyleInf">max</span> values is associated with worse prognosis.<a class="elsevierStyleCrossRefs" href="#bib0035"><span class="elsevierStyleSup">7,11,12</span></a> Pretreatment SUV<span class="elsevierStyleInf">max</span> has been used to evaluate the aggressiveness of disease, response to therapy, early detection of recurrence and outcome, however, previous studies and the present study showed that elevated MTV,TLG and SUV<span class="elsevierStyleInf">max</span> values were not significantly associated with lymph node metastasis and survival.<a class="elsevierStyleCrossRefs" href="#bib0065"><span class="elsevierStyleSup">13,14</span></a> The risk of lymph node metastasis and decreased OS and DFS was not higher in patients with high MTV, TLG and SUV<span class="elsevierStyleInf">max</span> values. High FDG uptake correlated with advanced pT and pN stages. However, the SUV<span class="elsevierStyleInf">max</span> of primary tumor, including metastatic lymph nodes was not confirmed as a significant factor predicting clinical outcome in HNSCC patients. In our study, lower SUV<span class="elsevierStyleInf">max</span> values did not demonstrate higher rates of OS and DFS with a statistical significance.</p><p id="par0070" class="elsevierStylePara elsevierViewall">TNM stage, histopathologic parameters are important prognostic factors in HNSCC.<a class="elsevierStyleCrossRef" href="#bib0005"><span class="elsevierStyleSup">1</span></a> Pathologic T and N stages were significant predictive factors of clinical outcome in the study by Le Tourneau et al.<a class="elsevierStyleCrossRef" href="#bib0075"><span class="elsevierStyleSup">15</span></a> On the contrary, other studies showed different results and pT and pN stages did not predict treatment outcome and survival.<a class="elsevierStyleCrossRefs" href="#bib0080"><span class="elsevierStyleSup">16,17</span></a> In this study, stage and perineural or perivascular invasion was significantly associated with lymph node metastases. Only lymph node metastases and tumour differentiation was associated with decreased OS and DFS.<a class="elsevierStyleCrossRef" href="#bib0035"><span class="elsevierStyleSup">7</span></a></p><p id="par0075" class="elsevierStylePara elsevierViewall">Our study had several limitations, including its retrospective design, small number of patients and lack of 5 years OS and DFS. Head and neck cancers show a disparity in natural course or clinical behavior depending on primary location and histopathologic properties.</p></span><span id="sec0050" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0085">Conclusion</span><p id="par0080" class="elsevierStylePara elsevierViewall">In conclusion, pretreatment MTV, TLG and SUV<span class="elsevierStyleInf">max</span> did not predict poor prognosis in our study. Only tumour differentiation and lymph node metastases were associated with lower survival. Perineural and perivascular invasion and TNM stage were the predictors of lymph node metastases. Additional prospective studies with a larger number of patients are needed to validate the prognostic predictors of these functional biomarkers derived from PET/CT.</p></span><span id="sec0055" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0090">Conflicts of interest</span><p id="par0085" class="elsevierStylePara elsevierViewall">The authors declare no conflicts of interest.</p></span></span>" "textoCompletoSecciones" => array:1 [ "secciones" => array:9 [ 0 => array:3 [ "identificador" => "xres1550539" "titulo" => "Abstract" "secciones" => array:5 [ 0 => array:2 [ "identificador" => "abst0005" "titulo" => "Introduction" ] 1 => array:2 [ "identificador" => "abst0010" "titulo" => "Objective" ] 2 => array:2 [ "identificador" => "abst0015" "titulo" => "Methods" ] 3 => array:2 [ "identificador" => "abst0020" "titulo" => "Results" ] 4 => array:2 [ "identificador" => "abst0025" "titulo" => "Conclusion" ] ] ] 1 => array:2 [ "identificador" => "xpalclavsec1400280" "titulo" => "Keywords" ] 2 => array:2 [ "identificador" => "sec0005" "titulo" => "Introduction" ] 3 => array:3 [ "identificador" => "sec0010" "titulo" => "Methods" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "sec0015" "titulo" => "Patients" ] 1 => array:2 [ "identificador" => "sec0020" "titulo" => "F-FDG PET/CT" ] 2 => array:2 [ "identificador" => "sec0025" "titulo" => "Image analysis" ] 3 => array:2 [ "identificador" => "sec0030" "titulo" => "Statistical analysis" ] ] ] 4 => array:3 [ "identificador" => "sec0035" "titulo" => "Results" "secciones" => array:1 [ 0 => array:2 [ "identificador" => "sec0040" "titulo" => "Patient characteristics" ] ] ] 5 => array:2 [ "identificador" => "sec0045" "titulo" => "Discussion" ] 6 => array:2 [ "identificador" => "sec0050" "titulo" => "Conclusion" ] 7 => array:2 [ "identificador" => "sec0055" "titulo" => "Conflicts of interest" ] 8 => array:1 [ "titulo" => "References" ] ] ] "pdfFichero" => "main.pdf" "tienePdf" => true "fechaRecibido" => "2019-09-20" "fechaAceptado" => "2019-10-28" "PalabrasClave" => array:1 [ "en" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Keywords" "identificador" => "xpalclavsec1400280" "palabras" => array:3 [ 0 => "Head and neck cancer <span class="elsevierStyleSup">18</span>F-FDG PET/CT" 1 => "Prognosis" 2 => "Metabolic parameters" ] ] ] ] "tieneResumen" => true "resumen" => array:1 [ "en" => array:3 [ "titulo" => "Abstract" "resumen" => "<span id="abst0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0010">Introduction</span><p id="spar0040" class="elsevierStyleSimplePara elsevierViewall"><span class="elsevierStyleSup">18</span>F-fluorodeoxyglucose positron emission tomography/computed tomography parameters such as; maximum standardized uptake values, standard metabolic tumor volume and otal lesion glycosis are important prognostic biomarkers in cancers.</p></span> <span id="abst0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0015">Objective</span><p id="spar0045" class="elsevierStyleSimplePara elsevierViewall">To investigate the prognostic value of these parameters in patients with head and neck cancers.</p></span> <span id="abst0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0020">Methods</span><p id="spar0050" class="elsevierStyleSimplePara elsevierViewall">We performed a retrospective study including 47 patients with head and neck cancer who underwent<span class="elsevierStyleSup">18</span>F-fluorodeoxyglucose positron emission tomography/computed tomography prior to treatment. Standard metabolic tumor volume, otal lesion glycosis and standardized uptake were measured for each patient. The prognostic value of quantitative <span class="elsevierStyleSup">18</span>F-fluorodeoxyglucose positron emission tomography/computed tomography parameters and clinicopathologic variables on disease free survival and overall survival were analyzed.</p></span> <span id="abst0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0025">Results</span><p id="spar0055" class="elsevierStyleSimplePara elsevierViewall">The median (range) standard metabolic tumor volume and otal lesion glycosis and standardized uptake were 7.63<span class="elsevierStyleHsp" style=""></span>cm<span class="elsevierStyleSup">3</span> (0.6–34.3), 68.9<span class="elsevierStyleHsp" style=""></span>g (2.58–524.5<span class="elsevierStyleHsp" style=""></span>g), 13.89 (4.89–33.03<span class="elsevierStyleHsp" style=""></span>g/mL), respectively. Lymph node metastases and tumour differentiation were significant variables for disease free survival and overall survival, however, all <span class="elsevierStyleSup">18</span>F-fluorodeoxyglucose positron emission tomography/computed tomography parameters were not associated with disease- free survival and overall survival.</p></span> <span id="abst0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0030">Conclusion</span><p id="spar0060" class="elsevierStyleSimplePara elsevierViewall">Pretreatment quantities positron emission tomography parameters did not predict survival in head and neck cancer.</p></span>" "secciones" => array:5 [ 0 => array:2 [ "identificador" => "abst0005" "titulo" => "Introduction" ] 1 => array:2 [ "identificador" => "abst0010" "titulo" => "Objective" ] 2 => array:2 [ "identificador" => "abst0015" "titulo" => "Methods" ] 3 => array:2 [ "identificador" => "abst0020" "titulo" => "Results" ] 4 => array:2 [ "identificador" => "abst0025" "titulo" => "Conclusion" ] ] ] ] "NotaPie" => array:1 [ 0 => array:1 [ "nota" => "<p class="elsevierStyleNotepara" id="npar0005">Peer Review under the responsibility of Associação Brasileira de Otorrinolaringologia e Cirurgia Cérvico-Facial.</p>" ] ] "multimedia" => array:3 [ 0 => array:8 [ "identificador" => "fig0005" "etiqueta" => "Figure 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 1834 "Ancho" => 3263 "Tamanyo" => 313036 ] ] "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at0035" "detalle" => "Figure " "rol" => "short" ] ] "descripcion" => array:1 [ "en" => "<p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">Survey analysis of <span class="elsevierStyleSup">18</span>F-FDG PET/CT metabolic parameters.</p>" ] ] 1 => array:8 [ "identificador" => "tbl0005" "etiqueta" => "Table 1" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at0040" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:2 [ "leyenda" => "<p id="spar0015" class="elsevierStyleSimplePara elsevierViewall">Assessed using the two-sided Fisher’s exact test or the χ<span class="elsevierStyleSup">2</span> test.</p><p id="spar0020" class="elsevierStyleSimplePara elsevierViewall">PN, Perineural Invasion; PV, Perivascular Invasion.</p>" "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Variables \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">3 year DFS (%) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">p-value \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">3 year OS (%) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">p</span>-value \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Lateral LN \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.051 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.044 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Metastatic \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">68 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">56 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Reactive \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">82 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">78 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">TNM \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.0473 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.291 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Stage 1‒2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">92 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">92 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Stage 3‒4 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">79 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">71 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Differantiation \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">00.5 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.012 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Poor dif \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">95 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">88 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Mild dif \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">83 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">82 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Well dif \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">67 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">47 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Tm size \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.769 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.477 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0‒2 cm \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">80 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">100 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2‒4 cm \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">82 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">73 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Up to 4 cm \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop