Indocyanine green utility in sentinel node detection for cervical cancer patients

With wide implementation of screening tests for the Human Papilloma Virus, the number of diagnosed cases of premalignant or early stages of cervical cancer has increased considerably. As a consequence, surgeons’ attention has focused on determining how best to limit the surgical procedure so the benefits of the procedure will not be surpassed by postoperative morbidity. In this respect, extended lymph node dissection, routinely associated so far with cervical cancer patients, has in the last decades been replaced with sentinel node detection and biopsy. Initially performed through radiocolloid injection, this method has undergone permanent changes in order to maximize its efficacy and safety. Although the laparoscopic approach had been widely used in the past, a new method has been proposed, i.e., the use of indocyanine green injection, which has yielded promising results for sentinel node detection in the early stages of cervical carcinoma. This paper reviews the literature of the most relevant studies conducted on this topic

Recent advances in optical diagnosis of oral cancers: review and future perspectives

Optical diagnosis techniques offer several advantages over traditional approaches, including objectivity, speed and cost, and these label-free, non-invasive methods have the potential to change the future work-flow of cancer management. The oral cavity is particularly accessible and thus such methods may serve as alternate/adjunct tools to traditional methods. Recently, in vivo human clinical studies have been initiated with a view to clinical translation of such technologies. A comprehensive review of optical methods in oral cancer diagnosis is presented. Following an introduction to the epidemiology and aetiological factors associated with oral cancers currently employed diagnostic methods and their limitations are presented. A thorough review of fluorescence, infrared absorption and Raman spectroscopic methods in oral cancer diagnosis is presented. The applicability of minimally invasive methods based on serum/saliva is also discussed. The review concludes with a discussion on future demands and scope of developments from a clinical point of view

Medical image computing and computer-aided medical interventions applied to soft tissues. Work in progress in urology

Until recently, Computer-Aided Medical Interventions (CAMI) and Medical Robotics have focused on rigid and non deformable anatomical structures. Nowadays, special attention is paid to soft tissues, raising complex issues due to their mobility and deformation. Mini-invasive digestive surgery was probably one of the first fields where soft tissues were handled through the development of simulators, tracking of anatomical structures and specific assistance robots. However, other clinical domains, for instance urology, are concerned. Indeed, laparoscopic surgery, new tumour destruction techniques (e.g. HIFU, radiofrequency, or cryoablation), increasingly early detection of cancer, and use of interventional and diagnostic imaging modalities, recently opened new challenges to the urologist and scientists involved in CAMI. This resulted in the last five years in a very significant increase of research and developments of computer-aided urology systems. In this paper, we propose a description of the main problems related to computer-aided diagnostic and therapy of soft tissues and give a survey of the different types of assistance offered to the urologist: robotization, image fusion, surgical navigation. Both research projects and operational industrial systems are discussed

Towards screening Barrett’s Oesophagus: current guidelines, imaging modalities and future developments

Barrett’s oesophagus is the only known precursor to oesophageal adenocarcinoma (OAC). Although guidelines on the screening and surveillance exist in Barrett’s oesophagus, the current strategies are inadequate. Oesophagogastroduodenoscopy (OGD) is the gold standard method in screening for Barrett’s oesophagus. This invasive method is expensive with associated risks negating its use as a current screening tool for Barrett’s oesophagus. This review explores current definitions, epidemiology, biomarkers, surveillance, and screening in Barrett’s oesophagus. Imaging modalities applicable to this condition are discussed, in addition to future developments. There is an urgent need for an alternative non-invasive method of screening and/or surveillance which could be highly beneficial towards reducing waiting times, alleviating patient fears and reducing future costs in current healthcare services. Vibrational spectroscopy has been shown to be promising in categorising Barrett’s oesophagus through to high-grade dysplasia (HGD) and OAC. These techniques need further validation through multicentre trials

Biomedical Applications of Vibrational Spectroscopy: Oral Cancer Diagnostics

Vibrational spectroscopy, based on either infrared absorption or Raman scattering, has attracted increasing attention for biomedical applications. Proof of concept explorations for diagnosis of oral potentially malignant disorders and cancer are reviewed, and recent advances critically appraised. Specific examples of applications of Raman microspectroscopy for analysis of histological, cytological and saliva samples are presented for illustrative purposes, and the future prospects, ultimately for routine, chairside in vivo screening are discussed

Focal Spot, Spring 2004

https://digitalcommons.wustl.edu/focal_spot_archives/1096/thumbnail.jp

A YOLOv5-based network for the detection of a diffuse reflectance spectroscopy probe to aid surgical guidance in gastrointestinal cancer surgery

PURPOSE: A positive circumferential resection margin (CRM) for oesophageal and gastric carcinoma is associated with local recurrence and poorer long-term survival. Diffuse reflectance spectroscopy (DRS) is a non-invasive technology able to distinguish tissue type based on spectral data. The aim of this study was to develop a deep learning-based method for DRS probe detection and tracking to aid classification of tumour and non-tumour gastrointestinal (GI) tissue in real time. METHODS: Data collected from both ex vivo human tissue specimen and sold tissue phantoms were used for the training and retrospective validation of the developed neural network framework. Specifically, a neural network based on the You Only Look Once (YOLO) v5 network was developed to accurately detect and track the tip of the DRS probe on video data acquired during an ex vivo clinical study. RESULTS: Different metrics were used to analyse the performance of the proposed probe detection and tracking framework, such as precision, recall, mAP 0.5, and Euclidean distance. Overall, the developed framework achieved a 93% precision at 23 FPS for probe detection, while the average Euclidean distance error was 4.90 pixels. CONCLUSION: The use of a deep learning approach for markerless DRS probe detection and tracking system could pave the way for real-time classification of GI tissue to aid margin assessment in cancer resection surgery and has potential to be applied in routine surgical practice

Interstitial diagnosis and treatment of breast tumours

This thesis exploits the interaction of light with breast tissue for diagnosis and therapy. Optical biopsy is an experimental technique, based on Elastic Scattering Spectroscopy (ESS), being developed for characterising breast tissue. An optical probe interrogates tissue with a white light pulse, with spectral analysis of the reflected light. 264 spectral measurements (50 patients) were obtained from a range of breast tissues and axillary lymph nodes and correlated with conventional histology of biopsies from the same sites. Algorithms for spectral analysis were developed using ANN (Artificial Neural Network), HCA (Hierarchical Cluster Analysis) and MBA (Model Based Analysis). The sensitivity and specificity for cancer detection in breast and lymph nodes were: [diagram]. Interstitial Laser Photocoagulation (ILP) involves image guided, thermal coagulation of lesions within the breast using laser energy delivered via optical fibres positioned percutaneously under local anaesthetic. Two groups were studied: 1) Nineteen patients with benign fibroadenomas underwent ILP and the results compared with 11 treated conservatively. Thirteen ILP patients (14 fibroadenomas) and 6 controls (11 fibroadenomas) have reached their one-year review: [diagram]. These differences are statistically significant (P<0.001). 2)Six patients with primary breast cancers underwent ILP (with pre- and post-ILP contrast enhanced MRI) within 3 weeks of diagnosis and were then treated with Tamoxifen. Four underwent surgery at 3 months, two showing complete tumour ablation. MRI was reasonably accurate at detecting residual tumour. In conclusion: a) optical biopsy is a promising 'real time' diagnostic tool for breast disease. b) ILP could provide a simple and safe alternative to surgery for fibroadenomas. c) ILP with MRI monitoring may be an alternative to surgery in the management of some patients with localised primary breast cance