Endoscopy and Histopathology

Geboes, Karel; Geboes, Karen; Jouret‐Mourin, Anne

doi:10.5772/52739

Cited by 4 publications

(5 citation statements)

References 78 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…According to World Health Organization (WHO) [ 1 ], in 2020 nearly 10 million cancer deaths have been accounted worldwide while the most common cancer cases pertain breast cancer (2.26 million cases); lung cancer (2.21 million cases); and colon and rectum cancer (1.93 million cases) [ 2 , 3 , 4 ]. Therefore, the early and accurate diagnosis as well as the precise and adequate surgical removal of a malignancy can lead to the reduction of cancer’s high mortality rates [ 5 , 6 , 7 ]. Since the differentiation among benign tumors, premalignant, early-stage malignant and healthy tissue is challenging, repeated biopsies are often necessary.…”

Section: Introductionmentioning

confidence: 99%

Raman Spectroscopy: A Personalized Decision-Making Tool on Clinicians’ Hands for In Situ Cancer Diagnosis and Surgery Guidance

Kouri

Spyratou

Karnachoriti

et al. 2022

Cancers

View full text Add to dashboard Cite

Accurate in situ diagnosis and optimal surgical removal of a malignancy constitute key elements in reducing cancer-related morbidity and mortality. In surgical oncology, the accurate discrimination between healthy and cancerous tissues is critical for the postoperative care of the patient. Conventional imaging techniques have attempted to serve as adjuvant tools for in situ biopsy and surgery guidance. However, no single imaging modality has been proven sufficient in terms of specificity, sensitivity, multiplexing capacity, spatial and temporal resolution. Moreover, most techniques are unable to provide information regarding the molecular tissue composition. In this review, we highlight the potential of Raman spectroscopy as a spectroscopic technique with high detection sensitivity and spatial resolution for distinguishing healthy from malignant margins in microscopic scale and in real time. A Raman spectrum constitutes an intrinsic “molecular finger-print” of the tissue and any biochemical alteration related to inflammatory or cancerous tissue state is reflected on its Raman spectral fingerprint. Nowadays, advanced Raman systems coupled with modern instrumentation devices and machine learning methods are entering the clinical arena as adjunct tools towards personalized and optimized efficacy in surgical oncology.

show abstract

Section: Introductionmentioning

confidence: 99%

Raman Spectroscopy: A Personalized Decision-Making Tool on Clinicians’ Hands for In Situ Cancer Diagnosis and Surgery Guidance

Kouri

Spyratou

Karnachoriti

et al. 2022

Cancers

View full text Add to dashboard Cite

show abstract

“…Endoscopic biopsy of the colon is commonly performed in humans to diagnose intestinal diseases such as intestinal tuberculosis (Kim et al, 1998) and cancer (e.g., Lieberman et al, 2000;Schoenfeld et al, 2005) as well as in companion animals (e.g., cats, dogs) to diagnose intestinal diseases (Washabau et al, 2010). Histology is also used to examine the tissue samples obtained via endoscopy because it allows for a more precise diagnosis, especially in inflammatory and neoplastic diseases in humans (Geboes et al, 2013) and companion animals (Washabau et al, 2010). However, currently no data or literature exist around endoscopic biopsying of the colon of ruminants to investigate development throughout time.…”

Section: Technical Note: the Development Of A Methodology For Ruminal And Colon Tissue Biopsying Of Young Holstein Dairy Calves 7213mentioning

confidence: 99%

“…The distal part of the colon was the targeted site of sampling, although it is possible to sample various parts of the lower GIT. For example, in human medicine, sampling of the terminal ileum is frequently used to provide information regarding inflammatory diarrhea in patients (Geboes et al, 2013). The instrument channel and endoscope were washed as described above.…”

Section: Technical Note: the Development Of A Methodology For Ruminal And Colon Tissue Biopsying Of Young Holstein Dairy Calves 7213mentioning

confidence: 99%

“…From the colon tissue samples obtained, 45 out of 60 contained muscularis mucosa, which indicates that samples were viable for histological measurements of the outer mucosa (Figure 2C). In human medicine, the average diameter of forceps used is 2.4 mm, and 60% of these samples contain muscularis mucosa (and upper submucosa;Geboes et al, 2013). Additionally, the larger forceps have a diameter of 3.4 mm, meaning that the tissues obtained are larger but usually do not contain increased submucosa.…”

Section: Technical Note: the Development Of A Methodology For Ruminal And Colon Tissue Biopsying Of Young Holstein Dairy Calves 7213mentioning

confidence: 99%

See 1 more Smart Citation

Technical note: The development of a methodology for ruminal and colon tissue biopsying of young Holstein dairy calves

Niekerk

Middeldorp

Steele

2018

Journal of Dairy Science

View full text Add to dashboard Cite

The objectives of this study were to develop a methodology for biopsying the rumen and colon of young dairy calves and to collect suitable quality tissue samples for microscopic and gene expression analysis. Six Holstein dairy bull calves (45.0 ± 1.5 kg birth weight) were ruminally cannulated during the second week of life and weaned at the end of wk 6. Ruminal and colon tissue samples were collected at the end of wk 5, 6, 7, 8, and 12. Calves were not sedated but were restrained in a chute for sampling. The endoscope (100 cm length, 9.8 mm diameter) was introduced through the rumen cannula to harvest ruminal tissue. Endoscopic biopsies of the rumen with endoscopic biopsy forceps were unsuccessful 85% of the time because they were unable to shear the ruminal tissue. Thereafter, an Allis clamp was used to retrieve the blind sac through the rumen cannula to perform direct tissue biopsying with surgical scissors. To biopsy the colon, the lubricated distal tip of an endoscope was slowly inserted into the calf's anus. A total of 6 colon tissue samples (12.6 ± 0.74 mg) were collected per calf per time point from the distal colon 30 to 40 cm from the calf's anus using endoscopic biopsy forceps, which were inserted through the instrument channel. A new forcep was used between sites and calves. Between calves, the outside of the endoscope was washed with 4% chlorohexidine and rinsed with water and the instrument channel was washed with distilled water and 70% ethanol. Colon and ruminal samples were processed for histological measurements, and RNA was isolated and sequenced. High-quality RNA (RNA integrity number 8.8 ± 0.08) was collected from samples, and light and electron microscopy was performed on samples. In conclusion, endoscopic biopsying can be used for tissue harvest in the colon of young calves. However, it was found that collecting ruminal tissue by retracting the rumen from the cannula and taking samples with surgical scissors was more successful than an endoscopic biopsy. This method allows for tissue collection of the same animal throughout time, which can help the research community investigate the effect of weaning regimens, feed rations, and age on the structure and function of the gastrointestinal tract.

show abstract

“…With routine screening being an important step for the reduction in mortality rates of this disease, colonoscopy (an endoscopic method) is considered a primary and straightforward clinical diagnosis method of choice for CRC [4]. Aside from this method, medical imaging techniques such as CT colonography, a complementary imaging method for polyp detection in CRC, and the histological evaluation of hematoxylin and eosin (H&E) slides remain indispensable approaches to subtle inspections for CRC.…”

Section: Introductionmentioning

confidence: 99%

Deep Learning Approaches to Colorectal Cancer Diagnosis: A Review

Tamang

Kim

2021

Applied Sciences

View full text Add to dashboard Cite

Unprecedented breakthroughs in the development of graphical processing systems have led to great potential for deep learning (DL) algorithms in analyzing visual anatomy from high-resolution medical images. Recently, in digital pathology, the use of DL technologies has drawn a substantial amount of attention for use in the effective diagnosis of various cancer types, especially colorectal cancer (CRC), which is regarded as one of the dominant causes of cancer-related deaths worldwide. This review provides an in-depth perspective on recently published research articles on DL-based CRC diagnosis and prognosis. Overall, we provide a retrospective synopsis of simple image-processing-based and machine learning (ML)-based computer-aided diagnosis (CAD) systems, followed by a comprehensive appraisal of use cases with different types of state-of-the-art DL algorithms for detecting malignancies. We first list multiple standardized and publicly available CRC datasets from two imaging types: colonoscopy and histopathology. Secondly, we categorize the studies based on the different types of CRC detected (tumor tissue, microsatellite instability, and polyps), and we assess the data preprocessing steps and the adopted DL architectures before presenting the optimum diagnostic results. CRC diagnosis with DL algorithms is still in the preclinical phase, and therefore, we point out some open issues and provide some insights into the practicability and development of robust diagnostic systems in future health care and oncology.

show abstract

Endoscopy and Histopathology

Cited by 4 publications

References 78 publications

Raman Spectroscopy: A Personalized Decision-Making Tool on Clinicians’ Hands for In Situ Cancer Diagnosis and Surgery Guidance

Raman Spectroscopy: A Personalized Decision-Making Tool on Clinicians’ Hands for In Situ Cancer Diagnosis and Surgery Guidance

Technical note: The development of a methodology for ruminal and colon tissue biopsying of young Holstein dairy calves

Deep Learning Approaches to Colorectal Cancer Diagnosis: A Review

Contact Info

Product

Resources

About