Visual probing of rectal neoplasia: near-infrared interrogation of primary tumors and secondary lymph nodes

Khokhar, Haseeb Anwar; Loughman, Eamon; Khogali, Moataz; Mulligan, Niall; O’Shea, Donal F.; Ra, Chisei

doi:10.23736/s0026-4733.18.07642-3

Cited by 6 publications

(7 citation statements)

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“…Within the cancer microenvironment, cell organization is chaotic, with apoptosis, angiogenesis, increased interstitial pressure, abnormal extracellular matrix, and inflammatory/immune cell infiltrates. Cumulatively these anomalies dictate agent perfusion through tissues, causing temporal variations between cancerous and normal tissues during the first-pass wash-in phase 18 .…”

Section: Discussionmentioning

confidence: 99%

Artificial intelligence indocyanine green (ICG) perfusion for colorectal cancer intra-operative tissue classification

O’Shea

Khan

et al. 2020

British Journal of Surgery

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A new concept in intraoperative decision support for tumour delineation is proposed showing that artificial intelligence provides categorising information and interpretation from the images captured during fluorescence-guided colorectal cancer operations. This is potentially applicable to all cancer subtypes and is pertinent to new fluorophore development.A new concept in intraoperative decision support for tumour delineation is proposed showing that artificial intelligence provides categorising information and interpretation from the images captured during fluorescence-guided colorectal cancer operations. This is potentially applicable to all cancer subtypes and is pertinent to new fluorophore development. A new concept in intraoperative decision support for tumour delineation is proposed showing that artificial intelligence provides categorising information and interpretation from the images captured during fluorescence-guided colorectal cancer operations. This is potentially applicable to all cancer subtypes and is pertinent to new fluorophore development. Shows promise

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Section: Discussionmentioning

confidence: 99%

Artificial intelligence indocyanine green (ICG) perfusion for colorectal cancer intra-operative tissue classification

O’Shea

Khan

et al. 2020

British Journal of Surgery

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“…Early reports have shown robotic‐TAMIS to have similar short‐term outcomes but at a higher cost 51 . Other innovations which may improve this technique are real‐time intraoperative assessment of tissue and margins with mass spectrometry 52 or immunofluorescence 53 …”

Section: Future Directionmentioning

confidence: 99%

“…51 Other innovations which may improve this technique are real-time intraoperative assessment of tissue and margins with mass spectrometry 52 or immunofluorescence. 53…”

Section: Future D Irec Ti Onmentioning

confidence: 99%

Transanal minimally invasive surgery for rectal cancer

Devane

Burke

Kelly

et al. 2020

Annals of Gastroent Surgery

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Due to the increased uptake of rectal cancer screening and the increasing rates of complete clinical response to chemoradiotherapy, more early‐stage and down‐staged rectal cancers are being treated. This has triggered surgeons to question the necessity for proctectomy and its associated morbidity and consider local excision and organ preservation in selected cases. Transanal minimally invasive surgery (TAMIS) has evolved as an oncologically safe yet cost‐effective platform for local excision of rectal tumors using traditional laparoscopic instruments. This review highlights the recent advances and current role of TAMIS in the treatment of rectal cancer.

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“…Intraoperative use of fluorescent dyes (typically ICG) makes multispectral endoscopic video a frequently encountered source of data, as in e.g. [4,16,13]. While in laboratory settings the specimens can be immobilized completely, in a clinical setting, imaging devices are commonly handheld and the imaged tissue is subject to constant motion, deformation, and occlusions through instruments, reflections, and fluid.…”

Section: Introductionmentioning

confidence: 99%

“…This task can be addressed manually, e.g. [13], by averaging [16], or by using a more sophisticated computer vision algorithm -the approach followed in this contribution.…”

Section: Introductionmentioning

confidence: 99%

A Real-Time Region Tracking Algorithm Tailored to Endoscopic Video with Open-Source Implementation

Epperlein¹,

Zhuk²

2022

Preprint

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With a video data source, such as multispectral video acquired during administration of fluorescent tracers, extraction of timeresolved data typically requires the compensation of motion. While this can be done manually, which is arduous, or using off-the-shelf object tracking software, which often yields unsatisfactory performance, we present an algorithm which is simple and performant. Most importantly, we provide an open-source implementation, with an easy-to-use interface for researchers not inclined to write their own code, as well as Python modules that can be used programmatically.

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Visual probing of rectal neoplasia: near-infrared interrogation of primary tumors and secondary lymph nodes

Cited by 6 publications

References 0 publications

Artificial intelligence indocyanine green (ICG) perfusion for colorectal cancer intra-operative tissue classification

Artificial intelligence indocyanine green (ICG) perfusion for colorectal cancer intra-operative tissue classification

Transanal minimally invasive surgery for rectal cancer

A Real-Time Region Tracking Algorithm Tailored to Endoscopic Video with Open-Source Implementation

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