Abstract
Background
Radiofrequency ablation (RFA) is effective for treating Barrett's esophagus (BE) but often involves multiple endoscopy sessions over several months to achieve complete response.
Objective
Identify structural markers using three-dimensional optical coherence tomography (3D-OCT) that correlate with treatment response.
Design
Cross-sectional.
Setting
Single teaching hospital.
Patients
Thirty-two male and one female Caucasians with short-segment BE (<3cm) undergoing RFA treatment.
Interventions
Patients were treated with focal RFA and 3D-OCT was performed at the gastroesophageal junction before and immediately after the RFA treatment. Patients were re-examined with standard endoscopy 6-8 weeks later and biopsied to rule out BE if not visibly evident.
Main outcome measurement
The thickness of BE epithelium before RFA and the presence of residual-gland-like structures immediately after RFA were determined using 3D-OCT. The presence of BE at follow-up was assessed endoscopically.
Results
BE mucosa was significantly thinner in patients who achieved complete eradication of intestinal metaplasia (CE-IM) than in patients who did not achieve CE-IM at follow-up [257±60μm vs. 403±86μm, p<0.0001]. A threshold thickness of 333μm derived from receiver-operator characteristics corresponds to a 92.3% sensitivity, 85% specificity and 87.9% accuracy in predicting the presence of BE at follow-up. The presence of OCT-visible glands immediately after RFA also correlated with the presence residual BE at follow-up (83.3% Sensitivity, 95% specificity, and 90.6% accuracy).
Limitations
Single center, cross sectional study and only patients with short-segment BE were examined.
Conclusions
3D-OCT assessment of BE thickness and residual glands during RFA sessions correlated with treatment response. 3D-OCT may predict response to RFA or make real-time RFA retreatment decisions in the future.
Keywords: Optical Coherence Tomography, Optical Biopsy, Barrett's Esophagus, Radiofrequency Ablation, Epithelial depth
Introduction
Radiofrequency ablation (RFA) is an emerging endoscopic therapy for treating Barrett's esophagus (BE).1-5 Utilizing electrode arrays, RFA catheters deliver radiofrequency energy to the surface of esophageal tissues to ablate BE with a low stricture rate.6, 7 Recent studies have shown that at one year follow-up from the initial RFA treatment, complete eradication of dysplasia (CE-D) was achieved in 90.5% of patients with low grade dysplasia (LGD) and in 81% of patients with high grade dysplasia (HGD).4 At two year follow-up, CE-D was achieved in 98% and 93% of patients with LGD and HGD, respectively.8 Complete eradication of intestinal metaplasia (CE-IM) was achieved in 93% of the patients with dysplasia after two years8 and in 92% of patients with non-dysplastic BE (NDBE) at 5-year follow-up.9 However, recurrence of intestinal metaplasia (IM) was observed in 13%8 and even 25.9%10 of patients at 1 year after CE-IM was achieved. It is unclear what risk factors are associated with the recurrence of IM.
Repeated RFA treatments are generally required to achieve complete eradication of aberrant tissues.11-13 On average, CE-IM was achieved after 3.4 RFA sessions for patients with NDBE9 and over 3.5 sessions for patients with dysplasia.4, 8 Considering the follow up time between RFA procedures (usually 6-8 weeks), the entire treatment process can easily span half a year or longer. In addition, the cost to achieve complete eradication mounts with each esophagogastroduodenoscopy (EGD) and RFA procedure, and has tempered the enthusiasm to treat all NDBE using RFA.14, 15 Therefore, improving the effectiveness of each RFA procedure would reduce the number of treatment sessions, improve cost effectiveness, reduce patient anxiety and make this therapy available to a wider patient population.
Optical coherence tomography (OCT) is a volumetric imaging technique that generates cross-sectional and 3D images of tissue microstructures with micron scale resolution.16 Endoscopic OCT techniques have been developed to image the human gastrointestinal (GI) tract with over 1 mm imaging depth.17-26 Two-dimensional OCT has been used to evaluate specialized intestinal metaplasia, dysplasia, and adenocarcinoma in the esophagus and has achieved a high sensitivity and specificity to differentiate different pathologies.22, 27 Recently, endoscopic 3D-OCT has become possible due to dramatic increases in imaging speed.23-26 3D-OCT provides a powerful combination of high resolution, large field of view, and rapid data acquisition. 3D-OCT has been used to image patients with upper and lower GI diseases.23, 26 Recent studies demonstrated that 3D-OCT can identify buried glands before and after CE-IM from RFA treatment.23, 28 The objective of this investigation was to identify possible structural markers that predict RFA treatment response using endoscopic 3D-OCT.
Methods
Patient Enrollment and Study Protocol
This study was conducted at the Veterans Affairs Boston Healthcare System (VABHS), Jamaica Plain Campus over the past 2 years. The study protocol was approved by the VABHS, Harvard Medical School and Massachusetts Institute of Technology. Patients were diagnosed with standard white light endoscopy and the length of visible BE was recorded based on the Prague C&M criteria.29 Thirty-three patients with short-segment BE (<3 cm), including one female, were recruited for this study. The study also included patients who initially presented with long segment BE that were reduced to less than 3 cm segment by prior circumferential RFA treatment using the BARRX Halo360™ catheter. Informed consent was obtained from each patient. Only patients with short-segment BE were imaged in order to ensure consistent OCT imaging catheter placement at the gastroesophageal junction (GEJ) and ascertaining presence of BE, thickness, and residual glands relative to the GEJ within the OCT pullback image. This study focused on patients receiving ablation with the Halo90™ catheter. For each RFA treatment, the patient received two sets of ablations using the BARRX Halo90™ catheter (300 Watts at 12 J/cm2 for each set of ablations), with rigorous scraping to remove desquamated epithelium between the two ablations, per standard protocol set by the manufacture. Patients with circumferential short-segment BE were also treated using Halo90™ catheter in order to maintain consistent procedure and ablation energy level. After the RFA, patients received a proton pump inhibitor (PPI), i.e., 40 mg of esomeprazole or omeprazole bid. At 6-8 weeks follow-up, the presence of residual BE was evaluated using white light endoscopy and narrow band imaging (NBI), as well as random 4-quandrant pinch biopsies. If no visible BE was observed endoscopically and no IM was found from biopsies at the GEJ the patient was classified as CE-IM. There were 13 patient in the CE-IM Group and 20 patients in the Non-CE-IM Group in this study.
Endoscopic 3D-OCT Imaging
A prototype endoscopic 3D-OCT system,25, 30 developed by LightLab Imaging - St Jude Medical (Westford, Massachusetts, USA), was used for this study. The system had a lateral resolution of 15 μm, an axial resolution of 5 μm and imaging depth of ∼2 mm in tissue. 3D-OCT imaging was performed with the OCT catheter introduced through the biopsy channel of the endoscope (GIF Q180; Olympus, Tokyo, Japan), enabling simultaneous video endoscopy. Volumetric OCT data was acquired at 60,000 axial lines per second and 60 frames per second. The imaging catheter scanned a helical pull back pattern with an 8 mm circumference and 20 mm pullback length within 20 seconds. The endoscope was at the neutral position with the imaging catheter placed at 6 o'clock in the endoscopic field. The imaging catheter was in contact with the esophagus and the pull back imaging spanned the GEJ. The esophagus was deflated and naturally wrapped around the OCT catheter during imaging acquisition to maintain a consistent catheter contact for all patients. Multiple 3D-OCT datasets were acquired at the GEJ before and immediately after the RFA treatment.
Image Analysis
Each 3D-OCT data set was reviewed and analyzed using 3D rendering software (Amira, Visage Imaging, Inc.). The BE epithelium thickness was measured from cross-sectional OCT images obtained prior to the RFA treatment. As indicated in Figure 1, the BE thickness was measured as the vertical distance from the top of the lamina propria (LP) / muscularis mucosa (MM) layer to the surface of the BE epithelium at the center position where the OCT catheter had the best contact with the esophagus. Multiple BE thickness measurements were obtained from each 3D data set every 1 mm along the entire BE length. The average and maximum BE thickness were recorded for each patient for statistical comparison between the CE-IM and Non-CE-IM groups.
In addition, two types of residual glandular structures were observed by reviewing 3D-OCT images obtained immediately after the second RFA. The first type of glandular structure was unburned BE epithelium that was likely missed by RFA and showed similar epithelial structure as that of regular BE. The second type of glandular structure consisted of hyposcattering glandular structures above the LP/MM layer at the RFA treatment site, representing residual glands. The presence or absence of these residual glands was recorded for each patient.
Statistical Analysis
The primary study outcome was to determine the accuracy of using BE thickness measured with OCT prior to RFA to predict the treatment response (presence or absence of endoscopically visible residual BE at follow-up). A Student's t-test was used to compare the average and maximum BE thickness from the CE-IM and Non-CE-IM groups. To evaluate whether BE thickness can be used to predict the RFA treatment response, receiver operator characteristic (ROC) curves were plotted by using a discrimination threshold ranging from 100 μm to 800 μm for average and maximum BE thickness, respectively. A decision threshold was determined from the ROC curves to achieve maximum overall accuracy. Sensitivity, specificity, positive predicting value (PPV), negative predicting value (NPV) and accuracy of the prediction was then calculated.
The secondary study outcome was to evaluate the correlation between the presence or absence of residual glands on OCT imaging immediately after RFA versus RFA treatment response assessed endoscopically on follow up. In addition, we also evaluated the correlation between the BE thickness prior to RFA versus the presence or absence of residual glands immediately after RFA. The sensitivity, specificity, PPV, NPV and the accuracy were calculated.
All statistical analyses were performed using MATALB software (Mathworks Inc.). All tests were two-sided and a p value of < 0.05 was considered statistically significant.
Results
Table 1 lists demographic information of the patients enrolled in this study. The average age for the CE-IM and Non-CE-IM groups were comparable (p=0.86). The CE-IM group consisted of 13 patients (4 patients had BE without dysplasia, 2 BE with low-grade dysplasia and 7 BE with high-grade dysplasia at presentation). The Non-CE-IM group consisted of 20 patients (10 patients had BE without dysplasia, 4 BE with low-grade dysplasia and 6 BE with high-grade dysplasia at presentation). Patients in the Non-CE-IM group are presumed to eventually have a treatment response with additional RFA treatments and convert to the CE-IM group and investigation of this group is ongoing. The number of prior RFA treatments and the length of BE was not statistically different between the two groups. There were no adverse events after RFA treatment.
Table 1. Subject demographic information.
CE-IM Group | Non-CE-IM Group | P Value | |
---|---|---|---|
| |||
Enrollment | 13 | 20 | |
| |||
Gender, male/female | 12/1 | 20/0 | |
| |||
Race | 13 Caucasian | 20 Caucasian | |
| |||
Age [years] | |||
Mean (SD) | 64.9 (7.7) | 65.6 (15.8) | 0.86 |
Range | 51-77 | 33-92 | |
| |||
Initial Diagnosis | |||
BE w/o dysplasia | 4 | 10 | |
LGD | 2 | 4 | |
HGD | 7 | 6 | |
| |||
Prior RFA Treatments | |||
Mean (SD) | 2.4 (1.9) | 1.7 (1.6) | 0.34 |
Range | 0-7 | 0-6 | |
| |||
Length of BE [cm] | |||
Mean (SD) | 1.3 (0.8) | 1.0 (0.7) | 0.29 |
Range | 0.5-3 | 0.5-3 |
Figure 1A shows an example endoscopic image of the GEJ before applying focal RFA treatment. 3D-OCT imaging was performed at the GEJ over the area of BE (pink colored). Figure 1B shows a representative cross-sectional OCT image obtained at the GEJ prior to the RFA treatment, together with histology obtained from the same site (Figure 1C). The thickness of the BE epithelium was measured from the OCT image as distance between the BE surface to the top of the LP / MM layer.
Figure 2A shows an example endoscopic image of the GEJ immediately after focal RFA treatment with scraping to remove desquamated epithelium between first and second RFA application. The RFA treated area was covered with blood and burned tissue, making it difficult to identify residual BE patches on white light endoscopy or NBI. Figure 2B shows a representative cross-sectional OCT image obtained immediately after RFA. Similar epithelium structure was observed compared to Figure 1B, indicating the presence of residual BE that was missed by the RFA treatment. A video of cross-sectional OCT images scanning through the unburned BE area is provided in the Supplemental Materials (Video S1). Another type of residual glandular structure usually can be observed after insufficient power delivery on the tissue, leading to hyposcattering features above the LP/MM layer at the RFA treated site in OCT images. Figure 2C shows residual glands (red arrows) above the MM layer, suggesting these glands were not effectively removed by the RFA treatment. A biopsy was taken from the same site immediately after the OCT imaging and confirmed the presence of residual BE glands immediately after the RFA treatment (Figure 2D). A video of cross-sectional OCT images scanning through these residual BE glands is provided in the Supplemental Materials (Video S2). Figure 2E shows a representative OCT image demonstrating effective RFA treatment, where the MM layer was on top of the tissue surface with no epithelial structures above it. A video of cross-sectional OCT images scanning through the effectively treated area is provided in the Supplemental Materials (Video S3).
The BE thickness measured with OCT prior to RFA was found to be a predictor of the RFA treatment response. Both the average and maximum BE thickness prior to RFA were significantly thinner for the CE-IM group compared to the Non-CE-IM group [Average BE thickness, 257±60 μm versus 403±86 μm, p<0.0001; Maximum BE thickness, 293±64 μm versus 471±107 μm, p<0.0001]. The scatter plot in Figure 3A shows the difference between the average BE thickness for the two groups. Figure 3B shows ROC curves using average and maximum BE thickness to predict RFA treatment response. The area-under-the-curve (AUC) was 0.942 (p<0.001) and 0.934 (p<0.001) using the average and maximum BE thickness, respectively. An average BE thickness of 333 μm was determined from the ROC curve to achieve the best prediction accuracy. Using this decision threshold, a sensitivity of 92.3% (12/13), specificity of 85% (17/20), PPV of 80%, NPV of 94.4% and an accuracy of 87.9% (29/33) was obtained for predicting treatment response evaluated by the presence or absence of endoscopically visible residual BE at follow-up visit using the average BE thickness measured with OCT prior to the RFA treatment (Table 2). Considering only the patients with dysplastic BE (19/33), a sensitivity of 100% (9/9), specificity of 90% (9/10), PPV of 90%, NPV of 100% and an accuracy of 94.7% (18/19) was obtained for predicting treatment response evaluated by the presence or absence of endoscopically visible residual BE at the follow-up visit using the average BE thickness measured with OCT prior to RFA treatment. The BE thickness measured with OCT was not correlated with the length of the BE (p=0.88) or the number of prior RFA treatments (p=0.24).
Table 2. Average BE thickness measured by OCT before RFA predicts the presence or absence of endoscopically visible residual BE at follow-up visit.
Absence of Residual BE at Follow-up | Presence of Residual BE at Follow-up | Total | ||
---|---|---|---|---|
Average BE Thickness < 333 μm | 12 | 3 | 15 | PPV = 80% |
Average BE Thickness ≥ 333 μm | 1 | 17 | 18 | NPV = 94.4% |
Total | 13 | 20 | 33 | |
Sensitivity = 92.3% | Specificity = 85% | Accuracy = 87.9% |
A BE thickness of over 333 μm was also found to correlate with the presence of residual glands immediately after RFA [Table 3, sensitivity: 91.7% (11/12), specificity: 85% (17/20), PPV: 78.6%, NPV: 94.4%, and accuracy: 87.5% (28/32)]. Note that one subject was excluded from this analysis due to the lack of OCT images immediately after RFA. Finally, the presence of residual glands observed with OCT immediately after RFA was found to be another predictor of the RFA treatment response (Table 4). Sensitivity of 83.3% (10/12), specificity of 95% (19/20), PPV of 90.9%, NPV of 90.5% and an accuracy of 90.6% (29/32) was achieved when using the presence of residual glands visible on OCT immediately after RFA to predict the presence of endoscopically visible residual BE at follow-up.
Table 3. Average BE thickness measured by OCT before RFA predicts the presence or absence of residual glands measured by OCT immediately after RFA.
Absence of Residual Glands Immediately after RFA | Presence of Residual Glands Immediately after RFA | Total | ||
---|---|---|---|---|
Average BE Thickness < 333 μm | 11 | 3 | 14 | PPV = 78.6% |
Average BE Thickness ≥ 333 μm | 1 | 17 | 18 | NPV = 94.4% |
Total | 12 | 20 | 32 | |
Sensitivity = 91.7% | Specificity = 85% | Accuracy = 87.5% |
Table 4. Presence or absence of residual glands measured by OCT immediately after RFA predicts the presence or absence of endoscopically visible residual BE at follow-up visit.
Absence of Residual BE at Follow-up | Presence of Residual BE at Follow-up | Total | ||
---|---|---|---|---|
Absence of Residual Glands Immediately after RFA | 10 | 1 | 11 | PPV = 90.9% |
Presence of Residual Glands Immediately after RFA | 2 | 19 | 21 | NPV = 90.5% |
Total | 12 | 20 | 32 | |
Sensitivity = 83.3% | Specificity = 95% | Accuracy = 90.6% |
Discussion
While endoscopic 3D-OCT does not possess the same magnification or contrast as conventional histopathology, it can visualize tissue microstructure in vivo over a large field of view and provides real-time, depth-resolved information with micron scale resolution. Each 3D-OCT dataset in our study covers ∼160 mm2 in the distal esophagus. Although this is only a fraction of the field observed with white light endoscope it is many times larger than the field covered by pinch biopsy and 3D-OCT provides complementary information about BE thickness as well as tissue morphology. This is especially important immediately after the RFA treatment, when the endoscopic imaging field is covered with blood and tissue debris. Due to the limited visibility immediately after the RFA treatment, it is difficult to evaluate the presence of residual glands or unburned BE using white light endoscopy or NBI. Similarly, imaging modalities that require contrast agents such as confocal endomicroscopy have limited use since extravasation of the contrast obliterates the viewing area after RFA. However, as demonstrated, residual glandular structures can be observed using 3D-OCT.
In this study, 3D-OCT identified structural markers, including the thickness of the BE epithelium prior to RFA and the presence of residual glands immediately after RFA, which might be used to predict RFA treatment response at follow-up with high accuracy. We found that patients with an average BE thickness of over 333 μm were likely to have endoscopically visible residual BE at the follow-up visit 6-8 weeks after the RFA treatment. This result was not surprising, however, since the dosage of the RFA treatment has been set to achieve best efficacy with minimum injury depth.6, 31 The energy delivery of a standard RFA application might not reach deep enough when the BE epithelium is thick. There are other possible confounding variables that may contribute to depth variation or incompleteness of the ablation, including variation of the RFA electrode contact with the esophagus and coagulated/sloughing debris building up on the electrode surface with repeated ablations in a patient.31 Indeed, we found a correlation between the BE epithelium thickness and the presence of residual glands immediately after RFA, suggesting not all RFA applications were effective. Insufficient energy delivery at the treatment sites or leaving BE unburned may be factors that lead to endoscopically visible residual BE at follow-up.
The efficacy of ablation therapies is generally assessed by follow-up endoscopy 6-8 weeks after RFA,11-13 and patients undergo repeated ablation if residual BE is observed. Our results suggest that patient response rate may be stratified based on the BE thickness measured before RFA. Using this structural marker, it may be possible to adjust RFA treatment for each patient to optimize response. For patients with thicker BE epithelium, a more rigorous ablation may be required. This may involve a thorough cleaning of the ablation catheter and treatment areas to remove debris between the two sets of ablations, and if indicated, increased dosage for the RFA treatment. The ability of OCT to differentiate residual glands from normal tissue structures and debris caused by the ablation may also provide immediate information about the RFA treatment for the endoscopist. This may enable real-time evaluation of ablation depth and identification of regions requiring further treatment. The RFA treatment might be guided to further improve the efficacy of each ablation procedure. As a result, the number of treatment sessions might be reduced to reduce overall treatment time, patient anxiety and health care cost.
Fourteen non-dysplasia patients were enrolled in the current study. However, RFA treatment for patients with non-dysplastic BE is still debatable. According to the clinical guidelines for the management of Barrett's esophagus,32, 33 endoscopic ablation therapies are only recommended for patients with high-grade dysplasia. Two recent large cohort studies from Northern Ireland and Denmark showed that the annual risk for adenocarcinoma in non-dysplastic BE was less than 0.2%, suggesting RFA treatment for patients with non-dysplastic BE holds no benefit.34, 35 However, an earlier study performed in the U.S. Veteran population, and perhaps better reflective of this study population, showed a relatively higher annual risk for adenocarcinoma in non-dysplastic BE patients.36 The National Cancer Institute estimates that the incidence of esophageal cancer in the general population of the United States (all races, both sexes, all ages) is approximately 4.5 per 100,000 (0.0045%).37 Hence the incidence of esophageal cancer for patients with non-dysplastic BE still appears to be much higher than the general population.
Surveillance endoscopy with biopsy is recommended for patients with low-grade dysplasia or non-dysplastic BE. However, due to the recognized limitations of the surveillance strategy, such as biopsy sampling errors, lack of compliance with surveillance protocols, cost-utility considerations, and failure to avert cancer in many cases, endoscopic therapies intended to completely remove low-grade dysplasia and non-dysplastic BE can be considered as alternative strategies.9 Indeed, recent studies have shown that complete eradication of intestinal metaplasia (CE-IM) can be achieved in 92% of patients with non-dysplastic BE at 5-year follow-up after RFA treatment.9 In this study, the BE epithelial thickness was found to be a strong predictor for RFA treatment response in all patients with or without dysplastic BE, indicating that this structural marker can be useful regardless of the dysplasia status of the patients.
There are several limitations in the current study. First, the study was limited to a cohort of patients with short-segment BE. This was done because the OCT system had a limited pull back imaging length and it was desirable to image the GEJ in each data set in order to enable consistent placement of the OCT imaging catheter. Future OCT systems will be able to acquire larger data sizes and we plan to extend the study to patients with long segment BE and evaluate the efficacy of circumferential RFA treatment. The study was also focused on patients receiving Halo90 ablation rather than Halo360, to be consistent with the actual ablation method. In addition, the dysplasia status of the patients was evaluated before the patients went through the initial RFA treatment. As presented in Table 1, on average 2.4 and 1.7 RFA procedures were performed before the time of OCT imaging for patients in the CE-IM and non-CE-IM groups, respectively. Biopsies were generally not performed at time of RFA and OCT imaging to confirm the dysplasia status. Variations in disease severity of the patients at the time of treatment may be a cofounding variable for treatment response. Future studies will be conducted to investigate the relation between the BE mucosal thickness and treatment response in patients with different dysplasia status.
Secondly, the thickness of BE epithelium may vary if the contact pressure of the OCT catheter on the tissue changes. An ex vivo study using human colon tissues reported that the epithelium thickness was reduced when the contact pressure is increased.38 This effect may induce variability in the BE thickness measurement. In the current study, the OCT catheter was in contact with the esophagus with the endoscope at the neutral position and the esophagus was deflated during imaging acquisition. The esophagus naturally wrapped around the OCT catheter to maintain a consistent catheter contact for all patients. More detailed quantitative investigations are needed to understand the influence of catheter contact pressure on the BE thickness measurement.
Thirdly, while OCT structural markers may predict RFA treatment response, the current study does not address whether the RFA treatment efficacy can be improved and the number of treatments reduced using structural information provided by 3D-OCT. A rigorous longitudinal study is needed to further establish the utility of endoscopic 3D-OCT for guiding RFA treatment of BE in clinical practice.
Finally, although the imaging coverage of the current 3D-OCT catheter is significantly larger than standard biopsy, a single 3D-OCT scan only covered about one sixth of the circumference of the distal esophagus. If unburned BE or residual glands were missed by 3D-OCT immediately after RFA, the patient might fail to achieve CE-IM at follow-up even though OCT imaging may still predict complete response. To overcome these potential sampling errors, multiple 3D-OCT sets will need to be acquired to achieve comprehensive coverage over different quadrants of the distal esophagus. Other OCT probe designs, such as balloon probes, may also be employed to improve coverage and reduce potential sampling errors in the future.
Conclusion
Endoscopic 3D-OCT can identify structural markers, including the thickness of the BE epithelium prior to RFA and the presence of residual glands immediately after RFA. These markers are promising predictors of RFA treatment response at follow up in patients with short-segment BE. 3D-OCT may provide valuable information which will enable endoscopists to make real-time treatment decisions improving the efficacy of RFA treatment and reducing the number of required treatments in the future.
Supplementary Material
Take-home Message.
Thicker BE epithelium measured by 3D-OCT prior to ablation is associated with reduced treatment response of RFA assess at follow up. The presence of residual glands immediately after RFA is also correlated with thicker BE prior to RFA as well as with treatment response at follow up. 3D-OCT provides a useful tool for for identifying factors are associated with RFA treatment response and may improve the effectiveness of therapy to reduce the number of treatments required to achieve complete response in the future.
Acknowledgments
The authors acknowledge the facility support from VA Boston Healthcare System. This work was supported by the MIT/CIMIT Medical Engineering Fellowship (THT), the VA Boston Healthcare System and NIH grants R01-CA75289-15 (JGF and HM), R44CA101067-06 (JGF), K99-EB010071-01A1 (CZ), Air Force Office of Scientific Research FA9550-10-1-0063 (JGF) and Medical Free Electron Laser Program FA9550-10-1-0551 (JGF).
Acronyms
- 3D
three dimensional
- AUC
area under the curve
- BE
Barrett's esophagus
- CE
complete eradication
- CE-D
complete eradication of dysplasia
- CE-IM
complete eradication of intestinal metaplasia
- EGD
esophagogastroduodenoscopy
- GEJ
gastroesophageal junction
- GI
gastrointestinal
- HGD
high grade dysplasia
- IM
intestinal metaplasia
- LGD
low grade dysplasia
- LP
lamina propria
- MM
muscularis mucosa
- NBI
narrow band imaging
- NDBE
non-dysplastic Barrett's esophagus
- NPV
negative predicting value
- OCT
optical coherence tomography
- PPI
proton pump inhibitor
- PPV
positive predicting value
- RFA
radiofrequency ablation
- ROC
receiver operator characteristic
- SD
standard deviation
- VABHS
Veterans Affairs Boston Healthcare System
Footnotes
Author contributions: THT, CZ, JGF and HM designed the study; DCA, CZ, THT, HCL and JMS developed the instrumentation; THT, CZ, HCL, YKT, OOA and HM collected data; THT, CZ, HCL, TK, MF and QH analyzed data; JGF and HM obtained funding for the study; THT, CZ, JGF and HM wrote the manuscript; All authors read the manuscript; HM and JGF are principal investigators for this study.
Contributor Information
Tsung-Han Tsai, Department of Electrical Engineering & Computer Science, Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA, USA.
Chao Zhou, Department of Electrical Engineering & Computer Science, Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA, USA.
Yuankai K. Tao, Department of Electrical Engineering & Computer Science, Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA, USA.
Hsiang-Chieh Lee, Department of Electrical Engineering & Computer Science, Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA, USA.
Osman O. Ahsen, Department of Electrical Engineering & Computer Science, Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA, USA.
Marisa Figueiredo, VA Healthcare System Boston, Boston, MA, USA; Harvard Medical School, Boston, MA, USA.
Tejas Kirtane, VA Healthcare System Boston, Boston, MA, USA; Harvard Medical School, Boston, MA, USA.
Desmond C. Adler, LightLab Imaging Inc. - St Jude Medical, Inc., Westford, MA, USA.
Joseph M. Schmitt, LightLab Imaging Inc. - St Jude Medical, Inc., Westford, MA, USA.
Qin Huang, VA Healthcare System Boston, Boston, MA, USA; Harvard Medical School, Boston, MA, USA.
James G. Fujimoto, Department of Electrical Engineering & Computer Science, Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA, USA.
Hiroshi Mashimo, VA Healthcare System Boston, Boston, MA, USA; Harvard Medical School, Boston, MA, USA.
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