Fluorescence Imaging In Surgery Research Articles

Assessment of the Quality of Patient-Oriented Internet Information on Fluorescence Imaging in Surgery.

In the digital age, patients are increasingly turning to the Internet to seek medical information to aid in their decision-making process before undergoing medical treatments. Fluorescence imaging is an emerging technological tool that holds promise in enhancing intra-operative decision-making during surgical procedures. This study aims to evaluate the quality of patient information available online regarding fluorescence imaging in surgery and assesses whether it adequately supports informed decision-making. The term "patient information on fluorescence imaging in surgery" was searched on Google. The websites that fulfilled the inclusion criteria were assessed using 2 scoring instruments. DISCERN was used to evaluate the reliability of consumer health information. QUEST was used to assess authorship, tone, conflict of interest and complementarity. Out of the 50 websites identified from the initial search, 10 fulfilled the inclusion criteria. Only two of these websites were updated in the last twoyears. The definition of fluorescence imaging was stated in only 50% of the websites. Although all websites mentioned the benefits of fluorescence imaging, none mentioned potential risks. Assessment by DISCERN showed that 30% of the websites were rated low and 70% were rated moderate. With QUEST, the websites demonstrated an average score of 62.5%. This study highlights the importance of providing patients with accurate and balanced information about medical technologies and procedures they may undergo. Fluorescence imaging in surgery is a promising technology that can potentially improve surgical outcomes. However, patients need to be well-informed about its benefits and limitations in order to make informed decisions about their healthcare.

Intraprocedural Artificial Intelligence for Colorectal Cancer Detection and Characterisation in Endoscopy and Laparoscopy.

In this article, we provide an evidence-based primer of current tools and evolving concepts in the area of intraprocedural artificial intelligence (AI) methods in colonoscopy and laparoscopy as a ‘procedure companion’, with specific focus on colorectal cancer recognition and characterisation. These interventions are both likely beneficiaries from an impending rapid phase in technical and technological evolution. The domains where AI is most likely to impact are explored as well as the methodological pitfalls pertaining to AI methods. Such issues include the need for large volumes of data to train AI systems, questions surrounding false positive rates, explainability and interpretability as well as recent concerns surrounding instabilities in current deep learning (DL) models. The area of biophysics-inspired models, a potential remedy to some of these pitfalls, is explored as it could allow our understanding of the fundamental physiological differences between tissue types to be exploited in real time with the help of computer-assisted interpretation. Right now, such models can include data collected from dynamic fluorescence imaging in surgery to characterise lesions by their biology reducing the number of cases needed to build a reliable and interpretable classification system. Furthermore, instead of focussing on image-by-image analysis, such systems could analyse in a continuous fashion, more akin to how we view procedures in real life and make decisions in a manner more comparable to human decision-making. Synergistical approaches can ensure AI methods usefully embed within practice thus safeguarding against collapse of this exciting field of investigation as another ‘boom and bust’ cycle of AI endeavour.

Optical innovations in surgery.

In the past decade, there has been a major drive towards clinical translation of optical and, in particular, fluorescence imaging in surgery. In surgical oncology, radical surgery is characterized by the absence of positive resection margins, a critical factor in improving prognosis. Fluorescence imaging provides the surgeon with reliable and real-time intraoperative feedback to identify surgical targets, including positive tumour margins. It also may enable decisions on the possibility of intraoperative adjuvant treatment, such as brachytherapy, chemotherapy or emerging targeted photodynamic therapy (photoimmunotherapy). This article reviews the use of optical imaging for intraoperative guidance and decision-making. Image-guided cancer surgery has the potential to be a powerful tool in guiding future surgical care. Photoimmunotherapy is a theranostic concept (simultaneous diagnosis and treatment) on the verge of clinical translation, and is highlighted as an effective combination of image-guided surgery and intraoperative treatment of residual disease. Multispectral optoacoustic tomography, a technique complementary to optical image-guided surgery, is currently being tested in humans and is anticipated to have great potential for perioperative and postoperative application in surgery. Significant advances have been achieved in real-time optical imaging strategies for intraoperative tumour detection and margin assessment. Optical imaging holds promise in achieving the highest percentage of negative surgical margins and in early detection of micrometastastic disease over the next decade.

Fluorescence imaging in surgery.

Although the modern surgical era is highlighted by multiple technological advances and innovations, one area that has remained constant is the dependence of the surgeon's vision on white-light reflectance. This renders different body tissues in a limited palette of various shades of pink and red, thereby limiting the visual contrast available to the operating surgeon. Healthy tissue, anatomic variations, and diseased states are seen as slight discolorations relative to each other and differences are inherently limited in dynamic range. In the upcoming years, surgery will undergo a paradigm shift with the use of targeted fluorescence imaging probes aimed at augmenting the surgical armamentarium by expanding the "visible" spectrum available to surgeons. Such fluorescent "smart probes" will provide real-time, intraoperative, pseudo-color, high-contrast delineation of both normal and pathologic tissues. Fluorescent surgical molecular guidance promises another major leap forward to improve patient safety and clinical outcomes, and to reduce overall healthcare costs. This review provides an overview of current and future surgical applications of fluorescence imaging in diseased and nondiseased tissues and focus on the innovative fields of image processing and instrumentation.