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Файл:Ординатура / Хирургия / Библиотека им академика М.И. Перельмана / Книга_5528_Библиотеки_им_академика_М_И_Перельмана.pdf
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- •Contents
- •Preface
- •About the Editor
- •References
- •2. Eye, Posterior
- •Optical Coherence Tomography: Background and Principles
- •1. Eye, Anterior
- •Corneal Topography and Tomography
- •Ultrasound Biomicroscopy
- •Anterior Segment Optical Coherence Tomography
- •Confocal Microscopy
- •Specular Microscopy
- •Optical Coherence Tomography: Clinical Applications
- •Normal retinal anatomy
- •Retinal vascular disease: Diabetes, retinal vein, and artery occlusions
- •Choroidal disease: Age-related macular degeneration, myopic degeneration, and central serous chorioretinopathy (CSR)
- •Macular pucker and hole
- •Hereditary retinal dystrophies: Retinitis pigmentosa, Stargardt’s disease
- •Medication toxicity
- •Retinal detachment
- •Tumors (choroidal nevus, choroidal melanoma, and lymphoma)
- •References
- •3. Coronary Arteries
- •Introduction
- •Normal vessel wall, intimal thickening, and intimal xanthoma (fatty streak)
- •Pathological intimal thickening
- •Fibroatheroma
- •Ruptured plaques
- •Plaque erosion
- •Healed lesions
- •Imaging of Plaque Instability
- •Pathology of plaque instability
- •OCT imaging of plaque instability
- •Conclusion
- •References
- •4. Skin
- •Introduction
- •Optical Coherence Tomography (OCT)
- •Electrical Impedance Spectroscopy (EIS)
- •Future Directions
- •References
- •5. Upper Gastrointestinal Tract
- •Introduction
- •Esophagus
- •Stomach
- •Disclosures
- •References
- •6. Lower Gastrointestinal Tract
- •Introduction
- •Normal Microanatomy
- •Endoscopy
- •Confocal Laser Endomicroscopy
- •CLE of normal lower gastrointestinal tract
- •Limitations of CLE
- •Optical Coherence Tomography
- •Endocytoscopy
- •Enteropathy
- •Pouchitis
- •Celiac disease
- •Crohn’s disease
- •Ulcerative colitis
- •Pseudomembranous colitis
- •Intestinal spirochetosis
- •Microscopic colitis
- •Collagenous colitis
- •Lymphocytic colitis
- •Graft-versus-host disease (GVHD)
- •Neoplasia
- •Morphology
- •Molecular imaging
- •Computer-aided diagnosis (CAD)
- •References
- •7. Pancreaticobiliary System
- •Introduction
- •Pancreatic Cystic Lesions
- •EUS-nCLE image acquisition
- •Characteristics of in vivo microscopy of PCLs
- •Serous cystadenomas
- •Intraductal papillary mucinous neoplasm
- •Mucinous cystic neoplasms
- •Pseudocysts
- •Cystic neuroendocrine tumor
- •Squamous lined cysts (Lymphoepithelial cyst)
- •Differentiation of mucinous and non-mucinous PCLs
- •Future research in EUS-nCLE
- •Conclusion
- •Solid Pancreatic Lesions
- •Endomicroscopy characteristics of SPLs
- •Endomicroscopy of the Bile Duct
- •CLE image acquisition in the bile duct
- •Probe-based CLE patterns in biliary stenosis
- •Correlation of pCLE imaging of the bile duct with representative histology
- •Conclusion
- •References
- •8. Lungs
- •Introduction
- •Principle of optical imaging techniques
- •Role of ex vivo optical imaging techniques in lung cancer
- •FFOCT, MPM, and FCM can identify normal ex vivo lung tissue
- •FFOCT, MPM, and FCM can diagnose lung cancers in ex vivo tissue
- •In vivo application of optical imaging techniques in normal human lung and lung cancer
- •Conclusion
- •References
- •9. Breast
- •Introduction
- •Optical Mammography
- •Photoacoustic Imaging
- •Raman Spectroscopy
- •Future Directions
- •References
- •10. Central Nervous System
- •Introduction
- •Technique
- •Histopathology of Optical Images
- •Normal brain, dura, blood vessels, and blood
- •CNS Tumors
- •Artifacts
- •Limitations
- •Future Directions
- •Disclosures
- •Financial Support
- •Acknowledgments
- •Abbreviations
- •References
- •11. Head and Neck
- •Introduction
- •Applications
- •Diagnosis and evaluation
- •Surgical treatment
- •Current Limitations
- •Conclusion
- •References
- •12. Genitourinary System
- •Introduction
- •Bladder
- •Upper Urinary Tracts
- •Kidney
- •Prostate
- •Testis
- •Future Perspectives
- •References
- •13. Gynecologic Tract
- •Overview
- •IVM Applications in the Cervix
- •Optical spectroscopy and spectroscopic imaging
- •Spectroscopic imaging
- •Confocal microscopy
- •Optical coherence tomography
- •IVM detection of cervical neoplasia in resource-poor setting
- •Vulva
- •Histopathologic overview
- •IVM features of normal vulva
- •IVM features of vulvar pathology
- •Squamous dysplasia and carcinoma
- •Melanoma
- •Basal cell carcinoma
- •Extramammary Paget disease (EMPD)
- •Vagina
- •Histopathologic overview
- •IVM features of normal vagina
- •IVM features of vaginal pathology
- •Squamous dysplasia and carcinoma
- •Vaginal atrophy
- •Uterine Corpus
- •Ovary
- •Histopathologic overview
- •IVM features of normal ovary
- •IVM features of pathologic ovary
- •Fallopian Tube
- •Histopathologic overview
- •IVM features of normal fallopian tube
- •IVM features of pathologic fallopian tube
- •Peritoneum
- •Histopathologic overview
- •IVM features of normal peritoneum
- •IVM features of pathologic peritoneum
- •References
- •14. Hepatobiliary System
- •Introduction
- •Optical Coherence Tomography (OCT)
- •Conventional Confocal Microscopy and Confocal Endomicroscopy
- •Representative Human Confocal Laser Endomicroscopic Studies
- •Future Directions
- •Conclusion
- •References
- •15. Molecular Applications
- •References
- •Introduction
- •Intraoperative Evaluation of Surgical Margins
- •Applications in breast conservation surgery
- •Optical spectroscopy
- •Raman spectroscopy
- •Optical coherence tomography
- •Applications in Mohs micrographic surgery
- •Rapid lump examination
- •Confocal microscopy
- •Optical coherence tomography
- •Intraoperative Evaluation of Sentinel Lymph Nodes
- •Rapid Evaluation of Biopsy Adequacy
- •Conclusion
- •References
- •Index

120 S. Sherwani
et al.
have been tested to support immediate automated diagnosis from microscopic images.
For CLE, content-based image retrieval protocols based on an
algorithm for automatic feature extraction in CLE images have been tested
preliminarily.
104
Similarly, a retrospective analysis of a series of 1035
artifact-free CLE images used fractal analysis of glandular structures for
CAD. Of the seven geometric parameters that were tested, contrast, homogeneity, and feature number were significantly different between normal
and cancer samples and were found useful to complement conventional
diagnosis of microscopic images.
105
With ongoing improvement of computer performance, novel devel-
opments have become available for on-site use: for endocytoscopy, a CAD
106
system was trained on 5543 images from 238 lesions.
Validation showed
188 of 200 images to be assessable with CAD. Accuracy was 94.1% for
the diagnosis of invasive cancer. The same group published a trial on CAD
in one white light and one endocytoscopic image of small colorectal polyps
107
from 123 patients.
CAD accurately identified neoplasia in 89%. Such
on-site imaging protocols may become even more interesting in the near
future when resect-and-discard strategies might be incorporated into clinical practice.
108
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https://doi.org/10.1142/9789813206984_0007
Pancreaticobiliary System Chapter
7
Somashekar G. Krishna∗and
Anjuli K. Luthra
Introduction
†
Confocal Laser Endomicroscopy (CLE) is a real-time laser-assisted microscopic imaging of tissue where the system provides tissue sequences with a
high resolution facilitating in vivo histopathology. The CLE probes that are
utilized for imaging the pancreaticobiliary epithelium are shown in Table 1.
Intravenous fluorescein is the most commonly used contrast agent for CLE
imaging. Fluorescein is a contrast agent used to visualize the blood vessels
and surrounding tissue microstructures. By providing in vivo microscopicresolution images, it has the potential to complement or replace the role
of biopsies in specimen acquisition. The CholangioFlex probe (Cellvizio,
Mauna Kea Technologies, Paris, France) is utilized for imaging the biliary
epithelium and the device is introduced through a standard sphincterotome
∗
Division of Gastroenterology, Hepatology and Nutrition, The Ohio State University
Wexner Medical Center, Columbus, OH, USA.
†
Division of Gastrointestinal Oncology, Moffitt Cancer Center, Tampa, FL, USA.
129
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