Spectroscopic optical coherence tomography for early detection of colorectal cancer in a mouse model

2021 ◽  
Author(s):  
Wesley Y. Kendall ◽  
Julianna Bordas ◽  
Evan T. Jelly ◽  
Babak Mirminachi ◽  
Abel Joseph ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Optical Coherence Tomography ◽  
Early Detection ◽  
Mouse Model ◽  
Optical Coherence

scholarly journals Time-serial Assessment of Drug Combination Interventions in a Mouse Model of Colorectal Carcinogenesis Using Optical Coherence Tomography

2015 ◽  
Vol 8s1 ◽  
pp. CGM.S21216 ◽  
Author(s):  
Susan LeGendre-McGhee ◽  
Photini S. Rice ◽  
R. Andrew Wall ◽  
Kyle J. Sprute ◽  
Ramireddy Bommireddy ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Growth Rate ◽  
Optical Coherence Tomography ◽  
Mouse Model ◽  
Tumor Burden ◽  
Colorectal Carcinogenesis ◽  
Optical Coherence ◽  
Ki 67 ◽  
Tumor Number ◽  
Cox 2

Optical coherence tomography (OCT) is a high-resolution, nondestructive imaging modality that enables time-serial assessment of adenoma development in the mouse model of colorectal cancer. In this study, OCT was utilized to evaluate the effectiveness of interventions with the experimental antitumor agent α-difluoromethylornithine (DFMO) and a nonsteroidal anti-inflammatory drug sulindac during early [chemoprevention (CP)] and late stages [chemotherapy (CT)] of colon tumorigenesis. Biological endpoints for drug interventions included OCT-generated tumor number and tumor burden. Immunochistochemistry was used to evaluate biochemical endpoints [Ki-67, cleaved caspase-3, cyclooxygenase (COX)-2, β-catenin]. K-Ras codon 12 mutations were studied with polymerase chain reaction-based technique. We demonstrated that OCT imaging significantly correlated with histological analysis of both tumor number and tumor burden for all experimental groups ( P < 0.0001), but allows more accurate and full characterization of tumor number and burden growth rate because of its time-serial, nondestructive nature. DFMO alone or in combination with sulindac suppressed both the tumor number and tumor burden growth rate in the CP setting because of DFMO-mediated decrease in cell proliferation (Ki-67, P < 0.001) and K-RAS mutations frequency ( P = 0.04). In the CT setting, sulindac alone and DFMO/sulindac combination were effective in reducing tumor number, but not tumor burden growth rate. A decrease in COX-2 staining in DFMO/sulindac CT groups (COX-2, P < 0.01) confirmed the treatment effect. Use of nondestructive OCT enabled repeated, quantitative evaluation of tumor number and burden, allowing changes in these parameters to be measured during CP and as a result of CT. In conclusion, OCT is a robust minimally invasive method for monitoring colorectal cancer disease and effectiveness of therapies in mouse models.

scholarly journals FRI0226 OPTICAL COHERENCE TOMOGRAPHY OF THE SKIN DETECTS SCLERODERMA CHANGES IN CLINICALLY UNAFFECTED SKIN: AN OPPORTUNITY FOR EARLY DETECTION OF SYSTEMIC SCLEROSIS

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 696.2-696
Author(s):  
G. Abignano ◽  
D. Temiz Karadağ ◽  
O. Gundogdu ◽  
G. Lettieri ◽  
M. C. Padula ◽  
...  
Keyword(s):  
At Risk ◽  
Clinical Trials ◽  
Optical Coherence Tomography ◽  
Systemic Sclerosis ◽  
Early Detection ◽  
Classification Criteria ◽  
Healthy Controls ◽  
Optical Coherence ◽  
Risk Patients ◽  
Unaffected Skin

Background:The Very Early Diagnosis Of Systemic Sclerosis (VEDOSS) study has shown that 82% of patients with Raynaud’s Phenomenon, specific ANA positivity and scleroderma pattern at nail fold videocapillaroscopy will fulfil classification criteria within 5 years. This is suggesting that there is a subclinical window of opportunity to diagnose systemic sclerosis (SSc) before clinical manifestations occur. In this scenario, a non-invasive tool to diagnose SSc in clinically unaffected skin might improve the early detection of disease in at risk-patients. Optical coherence tomography (OCT) of the skin has been shown to be a sensitive and accurate biomarker of skin fibrosis in SSc.Objectives:Here we aimed to assess the ability of skin OCT to “detect” SSc in clinically unaffected skin from a multicentre cohort.Methods:Dorsal forearm skin of SSc patients and matched-healthy controls (HC) was evaluated using VivoSight scanner (Michelson Diagnostics). Mean A-scans (mean OCT signal plotted against depth-in-tissue) were derived as previously described. Minimum Optical Density (MinOD), Maximum OD (MaxOD) and OD at 300 micron-depth (OD300) were calculated. Clinical involvement was assessed by an operator blinded to OCT findings using the mRSS. Receiver-operating characteristic (ROC) curve analysis was carried out for MinOD, MaxOD, and OD300 to evaluate their ability to discriminate between SSc and HC. Statistical analysis was performed using GraphPad Prism software V.7.0.Results:One hundred seventy four OCT images were collected from 87 subjects [43 SSc (39 Female, mean age 49.7±9.1 years) and 44 gender/age-matched healthy controls (HC) (36 Female, mean age 50.2±8.3 years)] in two different SSc centres. All patients fulfilled classification criteria for SSc. OCT measures demonstrated discriminative ability in SSc skin detection with any clinical skin involvement (0-3 at site of analysis) with an AUC of 0.73 (MinOD, 95%CI 0.64-0.81), 0.77 (MaxOD, 95%CI 0.7-0.85) and 0.82 (OD300, 95%CI 0.76-0.89); p<0.0001 for all as previously indicated. Most importantly, all three measures showed comparable performance in detecting scleroderma also in clinically unaffected skin (mRss=0 at site of analysis), with an AUC of 0.7 (95%CI 0.6-0.81, p=0.001), 0.72 (95%CI 0.61-0.83, p=0.0003) and 0.72 (95%CI 0.61-0.83, p=0.0003) for MinOD, MaxOD and OD300 respectively.Conclusion:Virtual biopsy by OCT recognises clinically unaffected skin of SSc patients from the HC skin. This is consistent with gene array data showing that scleroderma specific signatures are consistent in affected and clinically unaffected skin. These results inform future studies on at risk patients with clinically unaffected skin which may define a role for OCT in detecting subclinical SSc.Disclosure of Interests:Giuseppina Abignano: None declared, Duygu Temiz Karadağ: None declared, Ozcan Gundogdu: None declared, Giovanni Lettieri: None declared, Maria Carmela Padula: None declared, Angela Padula: None declared, Paul Emery Grant/research support from: AbbVie, Bristol-Myers Squibb, Merck Sharp & Dohme, Pfizer, Roche (all paid to employer), Consultant of: AbbVie (consultant, clinical trials, advisor), Bristol-Myers Squibb (consultant, clinical trials, advisor), Lilly (clinical trials, advisor), Merck Sharp & Dohme (consultant, clinical trials, advisor), Novartis (consultant, clinical trials, advisor), Pfizer (consultant, clinical trials, advisor), Roche (consultant, clinical trials, advisor), Samsung (clinical trials, advisor), Sandoz (clinical trials, advisor), UCB (consultant, clinical trials, advisor), Salvatore D’Angelo: None declared, Francesco Del Galdo: None declared

scholarly journals In vivo optical coherence tomography of a mouse model of spontaneous ovarian cancer

2019 ◽  
Author(s):  
Travis W. Sawyer ◽  
Jennifer Watson-Koevary ◽  
Photini F. S. Rice ◽  
Jennifer K. Barton
Keyword(s):  
Ovarian Cancer ◽  
Optical Coherence Tomography ◽  
Mouse Model ◽  
Optical Coherence

scholarly journals Short wave–automated perimetry (SWAP) versus optical coherence tomography in early detection of glaucoma [Corrigendum]

2018 ◽  
Vol Volume 12 ◽  
pp. 2313-2314
Author(s):  
Adel Galal Zaky ◽  
Ahmed Tarek Yassin ◽  
Saber Hamed El Sayid
Keyword(s):  
Optical Coherence Tomography ◽  
Early Detection ◽  
Short Wave ◽  
Automated Perimetry ◽  
Optical Coherence
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