scholarly journals Quantitative dynamic contrast-enhanced MR imaging can be used to predict the pathologic stages of lingual squamous cell carcinoma

2020 ◽  
Author(s):  
Na Guo ◽  
Weike Zeng ◽  
Huijun Hu ◽  
Hong Deng ◽  
Ziliang Cheng ◽  
...  

Abstract Background To investigate whether quantitative DCE-MRI pharmacokinetic parameters can be used to predict the pathologic stages of lingual squamous cell carcinoma (LSCC). Methods For this prospective study, DCE-MRI was performed in participants with LSCC from May 2016 to June 2017. The pharmacokinetic parameters, including Ktrans, Kep, Ve, and Vp, were derived from DCE-MRI by utilizing a two-compartment extended Tofts model and a three-dimensional volume of interest. The postoperative pathologic stage was determined in each patient based on the 8th AJCC cancer staging manual. The quantitative DCE-MRI parameters were compared between stage I-II and stage III-IV lesions. Logistic regression analysis was used to determine independent predictors of tumor stages, followed by receiver operating characteristic (ROC) analysis to evaluate the predictive performance. Results The mean Ktrans, Kep and Vp values were significantly lower in stage III-IV lesions compared with stage I-II lesions (P = 0.013, 0.005 and 0.011, respectively). Kep was an independent predictor for the advanced stages as determined by univariate and multivariate logistic analysis. ROC analysis showed that Kep had the highest predictive capability, with a sensitivity of 64.3%, a specificity of 82.6%, a positive predictive value of 81.8%, a negative predictive value of 65.5%, and an accuracy of 72.5%. Conclusion The quantitative DCE-MRI parameter Kep can be used as a biomarker for predicting pathologic stages of LSCC.

2020 ◽  
Author(s):  
Na Guo ◽  
Weike Zeng ◽  
Hong Deng ◽  
Huijun Hu ◽  
Ziliang Cheng ◽  
...  

Abstract Background: To investigate whether quantitative dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) pharmacokinetic parameters can be used to predict the pathologic stages of oral tongue squamous cell carcinoma (OTSCC). Methods: For this prospective study, DCE-MRI was performed in participants with OTSCC from May 2016 to June 2017. The pharmacokinetic parameters, including K trans , K ep , V e , and V p , were derived from DCE-MRI by utilizing a two-compartment extended Tofts model and a three-dimensional volume of interest. The postoperative pathologic stage was determined in each patient based on the 8th AJCC cancer staging manual. The quantitative DCE-MRI parameters were compared between stage I-II and stage III-IV lesions. Logistic regression analysis was used to determine independent predictors of tumor stages, followed by receiver operating characteristic (ROC) analysis to evaluate the predictive performance. Results: The mean K trans , K ep and V p values were significantly lower in stage III-IV lesions compared with stage I-II lesions ( p = 0.013, 0.005 and 0.011, respectively). K ep was an independent predictor for the advanced stages as determined by univariate and multivariate logistic analysis. ROC analysis showed that K ep had the highest predictive capability, with a sensitivity of 64.3%, a specificity of 82.6%, a positive predictive value of 81.8%, a negative predictive value of 65.5%, and an accuracy of 72.5%. Conclusion: The quantitative DCE-MRI parameter K ep can be used as a biomarker for predicting pathologic stages of OTSCC.


2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Na Guo ◽  
Weike Zeng ◽  
Hong Deng ◽  
Huijun Hu ◽  
Ziliang Cheng ◽  
...  

Abstract Background To investigate whether quantitative dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) pharmacokinetic parameters can be used to predict the pathologic stages of oral tongue squamous cell carcinoma (OTSCC). Methods For this prospective study, DCE-MRI was performed in participants with OTSCC from May 2016 to June 2017. The pharmacokinetic parameters, including Ktrans, Kep, Ve, and Vp, were derived from DCE-MRI by utilizing a two-compartment extended Tofts model and a three-dimensional volume of interest. The postoperative pathologic stage was determined in each patient based on the 8th AJCC cancer staging manual. The quantitative DCE-MRI parameters were compared between stage I–II and stage III–IV lesions. Logistic regression analysis was used to determine independent predictors of tumor stages, followed by receiver operating characteristic (ROC) analysis to evaluate the predictive performance. Results The mean Ktrans, Kep and Vp values were significantly lower in stage III–IV lesions compared with stage I–II lesions (p = 0.013, 0.005 and 0.011, respectively). Kep was an independent predictor for the advanced stages as determined by univariate and multivariate logistic analysis. ROC analysis showed that Kep had the highest predictive capability, with a sensitivity of 64.3%, a specificity of 82.6%, a positive predictive value of 81.8%, a negative predictive value of 65.5%, and an accuracy of 72.5%. Conclusion The quantitative DCE-MRI parameter Kep can be used as a biomarker for predicting pathologic stages of OTSCC.


2020 ◽  
Author(s):  
Na Guo ◽  
Weike Zeng ◽  
Hong Deng ◽  
Huijun Hu ◽  
Ziliang Cheng ◽  
...  

Abstract Background: To investigate whether quantitative dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) pharmacokinetic parameters can be used to predict the pathologic stages of oral tongue squamous cell carcinoma (OTSCC). Methods: For this prospective study, DCE-MRI was performed in participants with OTSCC from May 2016 to June 2017. The pharmacokinetic parameters, including K trans , K ep , V e , and V p , were derived from DCE-MRI by utilizing a two-compartment extended Tofts model and a three-dimensional volume of interest. The postoperative pathologic stage was determined in each patient based on the 8th AJCC cancer staging manual. The quantitative DCE-MRI parameters were compared between stage I-II and stage III-IV lesions. Logistic regression analysis was used to determine independent predictors of tumor stages, followed by receiver operating characteristic (ROC) analysis to evaluate the predictive performance. Results: The mean K trans , K ep and V p values were significantly lower in stage III-IV lesions compared with stage I-II lesions ( p = 0.013, 0.005 and 0.011, respectively). K ep was an independent predictor for the advanced stages as determined by univariate and multivariate logistic analysis. ROC analysis showed that K ep had the highest predictive capability, with a sensitivity of 64.3%, a specificity of 82.6%, a positive predictive value of 81.8%, a negative predictive value of 65.5%, and an accuracy of 72.5%. Conclusion: The quantitative DCE-MRI parameter K ep can be used as a biomarker for predicting pathologic stages of OTSCC.


2020 ◽  
Author(s):  
Na Guo ◽  
Weike Zeng ◽  
Hong Deng ◽  
Huijun Hu ◽  
Ziliang Cheng ◽  
...  

Abstract Background: To investigate whether quantitative dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) pharmacokinetic parameters can be used to predict the pathologic stages of oral tongue squamous cell carcinoma (OTSCC).Methods: For this prospective study, DCE-MRI was performed in participants with OTSCC from May 2016 to June 2017. The pharmacokinetic parameters, including Ktrans, Kep, Ve, and Vp, were derived from DCE-MRI by utilizing a two-compartment extended Tofts model and a three-dimensional volume of interest. The postoperative pathologic stage was determined in each patient based on the 8th AJCC cancer staging manual. The quantitative DCE-MRI parameters were compared between stage I-II and stage III-IV lesions. Logistic regression analysis was used to determine independent predictors of tumor stages, followed by receiver operating characteristic (ROC) analysis to evaluate the predictive performance. Results: The mean Ktrans, Kep and Vp values were significantly lower in stage III-IV lesions compared with stage I-II lesions (p = 0.013, 0.005 and 0.011, respectively). Kep was an independent predictor for the advanced stages as determined by univariate and multivariate logistic analysis. ROC analysis showed that Kep had the highest predictive capability, with a sensitivity of 64.3%, a specificity of 82.6%, a positive predictive value of 81.8%, a negative predictive value of 65.5%, and an accuracy of 72.5%. Conclusion: The quantitative DCE-MRI parameter Kep can be used as a biomarker for predicting pathologic stages of OTSCC.


Head & Neck ◽  
2010 ◽  
Vol 33 (5) ◽  
pp. 668-672 ◽  
Author(s):  
Christian Freudlsperger ◽  
Sandra E. Rohleder ◽  
Siegmar Reinert ◽  
Juergen Hoffmann

2019 ◽  
Vol 12 (4) ◽  
pp. 102
Author(s):  
Rasha Hamdy ◽  
Amal Halim

Background: Egyptian hospital–based statistics showed that head & neck carcinomas represent 18% of all cancers and mostly diagnosed at advanced stages. Our Clinical Oncology & Nuclear Medicine Department of Mansoura Faculty of Medicine serves a large rural area of the Delta region of Egypt. There is no previous study in our institution that focused on oral tongue carcinoma alone. This study aims in establishing the demographics, treatment outcome and prognostic factors of oral tongue squamous cell carcinoma (SCC).Methods: We retrospectively reviewed data of 50 cases with oral tongue SCC treated in our department from January 2014 to December 2016 to evaluate the demography, pathological characteristics, and therapeutic modalities. We estimated the survival rates during the entire follow-up period by the Kaplan–Meier method. The univariate and multivariate Cox proportional hazards analysis were performed for prognostic factors determination.Results: The median follow-up was 30 months (range: 4-45 months). The 3-year overall survival (OS) and disease-free survival (DFS) rates were 68% and 60% respectively. By univariate analysis, both advanced stages (III, IVA) and depth of invasion >0.5 cm were statistically significant as prognostic factors for 3-year DFS and OS rates. DFS rates were 34% vs. 98% for stage III and IVA vs. stage I and II respectively (p = 0.001); 52% vs. 78% for >0.5 cm vs. ≤0.5 cm depth of invasion (p = 0.003). OS rates were 36% vs. 99% for stage III and IVA vs. stage I and II respectively (p = 0.002); 52% vs. 80% for >0.5 cm vs. ≤0.5 cm depth of invasion (p = 0.001). Multivariate analysis of prognostic factors affecting 3-year DFS and OS rates confirmed the statistical significance of the same 2 factors.Conclusions: The majority of our patients were males below 60 years. Tumors were mainly found at stage III and were moderately differentiated. Vascular invasion and lymphatic permeation were uncommon. Staging and tumor invasion depth significantly affected the outcome. The 3-year OS and DFS were 68% and 60% respectively.


2019 ◽  
pp. 102
Author(s):  
Rasha Hamdy ◽  
Amal Halim

Background: Egyptian hospital–based statistics showed that head & neck carcinomas represent 18% of all cancers and mostly diagnosed at advanced stages. Our Clinical Oncology & Nuclear Medicine Department of Mansoura Faculty of Medicine serves a large rural area of the Delta region of Egypt. There is no previous study in our institution that focused on oral tongue carcinoma alone. This study aims in establishing the demographics, treatment outcome and prognostic factors of oral tongue squamous cell carcinoma (SCC). Methods: We retrospectively reviewed data of 50 cases with oral tongue SCC treated in our department from January 2014 to December 2016 to evaluate the demography, pathological characteristics, and therapeutic modalities. We estimated the survival rates during the entire follow-up period by the Kaplan–Meier method. The univariate and multivariate Cox proportional hazards analysis were performed for prognostic factors determination. Results: The median follow-up was 30 months (range: 4-45 months). The 3-year overall survival (OS) and disease-free survival (DFS) rates were 68% and 60% respectively. By univariate analysis, both advanced stages (III, IVA) and depth of invasion >0.5 cm were statistically significant as prognostic factors for 3-year DFS and OS rates. DFS rates were 34% vs. 98% for stage III and IVA vs. stage I and II respectively (p = 0.001); 52% vs. 78% for >0.5 cm vs. ≤0.5 cm depth of invasion (p = 0.003). OS rates were 36% vs. 99% for stage III and IVA vs. stage I and II respectively (p = 0.002); 52% vs. 80% for >0.5 cm vs. ≤0.5 cm depth of invasion (p = 0.001). Multivariate analysis of prognostic factors affecting 3-year DFS and OS rates confirmed the statistical significance of the same 2 factors. Conclusions: The majority of our patients were males below 60 years. Tumors were mainly found at stage III and were moderately differentiated. Vascular invasion and lymphatic permeation were uncommon. Staging and tumor invasion depth significantly affected the outcome. The 3-year OS and DFS were 68% and 60% respectively.


2007 ◽  
Vol 25 (18_suppl) ◽  
pp. 4591-4591
Author(s):  
B. L. Brücher ◽  
F. Pühringer-Oppermann ◽  
M. Sarbia

4591 Background: The evaluation of the prevalence of TGF-β1-pathway gene expressions (TGF-β1, Smad7 and Smad4) and its predictive value for histopathological response in patients with esophageal squamous cell carcinoma and neoadjuvant radiochemotherapy. Methods: RNA was prepared from pretherapeutic taken formalin-fixed and paraffin-embedded biopsies of 98 patients with histological proven locally advanced ESCC (cT3, cN0/+, cM0), who underwent preoperative combined simultaneous RTx/CTx with consecutive esophagectomy. All tumor biopsies underwent tumor-cell-microdissection, RNA-extraction and real-time TaqMan reverse transcriptase- polymerase chain reaction. RT-PCR-measurements were made by doublet measuring. Quantitative mRNA expression of TGFβ1 and its downstream effectors Smad4 and Smad7 was correlated with histopathological response by the percentage of residual tumor cells. Analysis was performed by dichotomized calculation and for determination of a cut-off by ROC-analysis. Results: Dichotomized analysis revealed the following median values: Smad4=0.098± 0.7 (CI: 0.024–0.396), Smad7=1.9250±1.7 (CI: 0.4–16.1) and TGFβ1=6.427±4.86 (CI: 0- 25.7). Cross-tabs-analysis for histopathological response disclosed the following correlations: TGFβ1 (p=0.671), Smad7 (p=0.672) and Smad4 (p=0.038). ROC-analysis revealed a Smad4-cut-off of 0.0635 by an area-under-curve of 6280 (p=0.038). Consecutive re-cross-tabs-analysis of histopathological response revealed a sensitivity of 80% (p=0.013). The pretherapeutic predictive value of Smad4 was 73%. Medians in survival was not reached during follow-up, whether TGFβ1 (p=0.519), Smad7 (p=0.5728) nor Smad4 (p=0.552). Histopathological responders showed a significant better survival compared to nonresponders (p<0.0001). Conclusions: High levels of Smad4 gene expression are significantly correlated with histopathological response. ROC-Analysis identified a cut-off of Smad4 with a sensitivity of 80% and a predictive value of 73%. No significant financial relationships to disclose.


2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Sarah A. Hakim ◽  
Nermine M. Abd Raboh ◽  
Lobna S. Shash

Sinonasal inverted papilloma (IP) has a propensity for malignant transformation. Although the IP-associated squamous cell carcinoma (SCC) is rare, it has a poor prognosis. To the best of our knowledge, this is the first study to assess IMP3 immunohistochemical (IHC) expression in sinonasal tumors and to compare it to the Ki-67 IHC expression and to other established clinicopathological parameters. A retrospective study was conducted on three groups which consisted of 72 cases of sinonasal IP, 20 age-matched samples of normal respiratory epithelium, and 15 cases of sinonasal SCC associated with IP, which were obtained from the archives of the Pathology Lab of Ain Shams University Specialized and Ain Shams University Hospitals during the period from January 2012 to December 2019. An IHC study was performed to evaluate IMP3 and Ki-67 expression in the three groups, with correlation of IMP3 expression to established clinicopathological parameters of sinonasal SCC on top of IP. Both IMP3 and Ki-67 showed a sharp rise in expression in the sinonasal SCC group. In addition, there were statistically significant differences in expression values between the 3 groups ( P = 0.001 ). Receiver Operating Characteristic (ROC) analysis revealed that IMP3 and Ki-67 could be used to discriminate sinonasal SCC from control and IP lesions, with sensitivity and specificity of 100% and 81.5% for IMP3, respectively, and 100% and 62.5% for Ki-67, respectively. Spearman’s rho revealed that both IMP3 and Ki-67 were significantly related to the lymph node and tumor stages but not to the tumor grade. ROC analysis was performed to select cut-off scores for progression and survival for IMP3, and accordingly, Kaplan-Meier analysis showed correlation between IMP3 and overall survival, local recurrence-free survival, and metastasis-free survival in sinonasal SCC cases at the selected cut-off values. Based on our results, IMP3 could serve as a promising diagnostic, prognostic, and therapeutic marker for IP-associated sinonasal SCC.


2015 ◽  
Vol 17 (1) ◽  
pp. 46
Author(s):  
Theresia Indah Budhy

AbstrakLatar Belakang: Sekitar 95% dari tumor ganas diklasifikassikan secara histologis sebagai Oral Squamous Cell Carcinoma (OSCC). Secara mikroskopis OSCC diklasifikasikan berdasarkan pada metode yang mempehitungkan penilaian subjektif, tingkat keratinisasi, pleomorfik nukleus dan seluler, dan aktivitas mitosis. Tingkatan tersebut meliputi well differentiated (grade I-II), moderately differentiated (grade III), dan poorly differentiated (grade IV). Well dan moderately differentiated dapat dikelompokkan sebagai low grade sedangkan poorly differentiated tumor sebagai high grade. Standar yang paling baik untuk menegakkan diagnosis OSCC adalah pemeriksaan histopatologis dan biopsi jaringan lesi tersebut. Tujuan: Penelitian ini bertujuan untuk menentukan grading tumor ganas OSCC berdasarkan gambaran histopatologi. Metode: Sampel terdiri dari 6 jenis OSCC kemudian dilakukan pembuatan sediaan jaringan tumor ganas OSCC kedalam blok paraffin dan dilakukan pengecatan menggunakan hematoxilin eosin (HE). Gambaran histopatologi dari keenam sampel diamati dibawah mikroskop cahaya dengan pembesaran 100x dan 400x.   Hasil: Dari 6 kasus yang ditemukan satu terdiagnosa sebagai well differentiated (stage I), dua kasus terdiagnosa well differentiated(sstage II),  dua kasus terdiagnosa moderately differentiated (stage III), dan poorly differentiated (stage IV). Kesimpulan: OSCC diklasifikasikan berdasarkan gambaran histopatologi kedalam well differentiated (stage I-II), moderately differentiated (stage III), dan poorly differentiated (stage IV)Kata Kunci : OSCC, well differentiated, moderately differentiated, poorly differentiated


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