scholarly journals Esophageal Squamous Cell Carcinoma in a Spotted Seal (Phoca largha) upon Examination by Contrast-Enhanced Computed Tomography

2021 ◽  
Vol 26 (1) ◽  
pp. 11-16
Author(s):  
Koji ONO ◽  
Daisuke FUKUI
Keyword(s):  
Computed Tomography ◽  
Squamous Cell Carcinoma ◽  
Esophageal Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Spotted Seal ◽  
Phoca Largha ◽  
Contrast Enhanced ◽  
Enhanced Computed Tomography ◽  
Contrast Enhanced Computed Tomography

scholarly journals Primary Intraparenchymal Squamous Cell Carcinoma of the Kidney: A Rare and Unique Entity

2014 ◽  
Vol 2014 ◽  
pp. 1-3 ◽  
Author(s):  
Prithwijit Ghosh ◽  
Kaushik Saha
Keyword(s):  
Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Renal Parenchyma ◽  
Contrast Enhanced ◽  
Well Differentiated ◽  
The Right ◽  
Enhanced Computed Tomography ◽  
Upper Abdomen ◽  
Contrast Enhanced Computed Tomography

Primary squamous cell carcinoma (SCC) of the renal parenchyma is a very unusual entity which needs to be differentiated from primary SCC of renal pelvis, SCC from another primary site, and urothelial carcinoma with extensive squamous differentiation. We are most probably describing the second case of primary SCC of the renal parenchyma in a 51-year-old male who presented with heaviness of right upper abdomen with intermittent pain in right flank. Contrast-enhanced computed tomography (CECT) revealed a mass in the right lower pole of the kidney and histopathology following nephrectomy displayed the features of well-differentiated squamous cell carcinoma without urothelial involvement.

scholarly journals Deep Learning for the Preoperative Diagnosis of Metastatic Cervical Lymph Nodes on Contrast-Enhanced Computed ToMography in Patients with Oral Squamous Cell Carcinoma

Cancers ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 600
Author(s):  
Hayato Tomita ◽  
Tsuneo Yamashiro ◽  
Joichi Heianna ◽  
Toshiyuki Nakasone ◽  
Tatsuaki Kobayashi ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Squamous Cell Carcinoma ◽  
Deep Learning ◽  
Oral Squamous Cell Carcinoma ◽  
Lymph Nodes ◽  
Cell Carcinoma ◽  
Cervical Lymph Nodes ◽  
Contrast Enhanced ◽  
Enhanced Computed Tomography ◽  
Contrast Enhanced Computed Tomography

We investigated the value of deep learning (DL) in differentiating between benign and metastatic cervical lymph nodes (LNs) using pretreatment contrast-enhanced computed tomography (CT). This retrospective study analyzed 86 metastatic and 234 benign (non-metastatic) cervical LNs at levels I–V in 39 patients with oral squamous cell carcinoma (OSCC) who underwent preoperative CT and neck dissection. LNs were randomly divided into training (70%), validation (10%), and test (20%) sets. For the validation and test sets, cervical LNs at levels I–II were evaluated. Convolutional neural network analysis was performed using Xception architecture. Two radiologists evaluated the possibility of metastasis to cervical LNs using a 4-point scale. The area under the curve of the DL model and the radiologists’ assessments were calculated and compared at levels I–II, I, and II. In the test set, the area under the curves at levels I–II (0.898) and II (0.967) were significantly higher than those of each reader (both, p < 0.05). DL analysis of pretreatment contrast-enhanced CT can help classify cervical LNs in patients with OSCC with better diagnostic performance than radiologists’ assessments alone. DL may be a valuable diagnostic tool for differentiating between benign and metastatic cervical LNs.

scholarly journals Predictive value of neck imaging reporting and data system (NIRADS) in CECT/CEMRI of laryngeal and oral cavity squamous cell carcinoma

2020 ◽  
Vol 51 (1) ◽  
Author(s):  
Ahmed S. Abdelrahman ◽  
Manar Maamoun Mohamed Ashour ◽  
Tougan Taha Abdelaziz
Keyword(s):  
Squamous Cell Carcinoma ◽  
Oral Cavity ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Predictive Value ◽  
Tumor Recurrence ◽  
Data System ◽  
Contrast Enhanced ◽  
Management Recommendations ◽  
Enhanced Computed Tomography

Abstract Background The neck imaging reporting and data system (NI-RADS) is a structured reporting algorithm linked with further patient management recommendations. This study was conducted to assess the overall and time point predictive value of the NI-RADS in laryngeal and oral cavity squamous cell carcinoma (SCC) using contrast-enhanced magnetic resonance imaging (CEMRI) and contrast-enhanced computed tomography (CECT). Results The rate of tumor recurrence was statistically different among the NI-RADS 1-3 categories with recurrence trend for higher NI-RADS scores. The overall negative predictive value (NPV) of the NI-RADS 1 and 2 were 94.3%, 74.3% respectively, and the positive predictive value (PPV) of the NI-RADS 3 was 80.8%. The overall recurrence rate of NI-RADS 3 was higher in oral cavity SCC (87.5%) compared to the laryngeal SCC (70%). The PPV of overall NI-RADS 3 in the follow-up scans (77.8%) was higher than in the first scan (70.6%). The odd ratio of tumor recurrence in NI-RADS 3 primary lesion was 19.6. Conclusion The predictive value of NI-RADS was significantly different among its categories. Increasing NI-RADS score is associated with increased recurrence among the treated laryngeal and oral cavity SCC. The morphological and enhancement lexicon features equally assign the NI-RADS 3 score.

scholarly journals Dynamic contrast-enhanced computed tomography to assess early activity of cetuximab in squamous cell carcinoma of the head and neck

2015 ◽  
Vol 49 (1) ◽  
pp. 17-25 ◽  
Author(s):  
Sandra Schmitz ◽  
Denis Rommel ◽  
Nicolas Michoux ◽  
Renaud Lhommel ◽  
François-Xavier Hanin ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Squamous Cell Carcinoma ◽  
The Other ◽  
Time Points ◽  
Dynamic Contrast Enhanced ◽  
Contrast Enhanced ◽  
Vascular Markers ◽  
Enhanced Computed Tomography ◽  
Contrast Enhanced Computed Tomography ◽  
Early Activity

Abstract Background. Cetuximab, a monoclonal antibody targeting the Epidermal Growth Factor Receptor (EGFR), has demonstrated activity in various tumor types. Using dynamic contrast-enhanced computed tomography (DCE-CT), we investigated the early activity of cetuximab monotherapy in previously untreated patients with squamous cell carcinoma of the head and neck (SCCHN). Methods. Treatment-naïve patients with SCCHN received cetuximab for 2 weeks before curative surgery. Treatment activity was evaluated by DCE-CT at baseline and before surgery. Tumor vascular and interstitial characteristics were evaluated using the Brix two-compartment kinetic model. Modifications of the perfusion parameters (blood flow Fp, extravascular space ve, vascular space vp, and transfer constant PS) were assessed between both time points. DCE data were compared to FDG-PET and histopathological examination obtained simultaneously. Plasmatic vascular markers were investigated at different time points. Results. Fourteen patients had evaluable DCE-CT parameters at both time points. A significant increase in the extravascular extracellular space ve accessible to the tracer was observed but no significant differences were found for the other kinetic parameters (Fp, vp or PS). Significant correlations were found between DCE parameters and the other two modalities. Plasmatic VEGF, PDGF-BB and IL-8 decreased as early as 2 hours after cetuximab infusion. Conclusions. Early activity of cetuximab on tumor interstitial characteristics was detected by DCE-CT. Modifications of plasmatic vascular markers are not sufficient to confirm anti-angiogenic cetuximab activity in vivo. Further investigation is warranted to determine to what extent DCE-CT parameters are modified and to evaluate whether they are able to predict treatment outcome.

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