ArticleSurgical endoscopy2021
Hyperspectral enhanced reality (HYPER) for anatomical liver resection.
Article in Surgical endoscopy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
21 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.
- Medical hyperspectral imaging: an updated review of technology advancements and biomedical applications.Journal of biomedical optics · 2026Pooled it
- Intraoperative Hyperspectral Imaging for Perfusion Assessment and Emerging Decision Support in Abdominal Surgery: A Systematic Review of Clinical Studies.Diagnostics (Basel, Switzerland) · 2026Review
- Surgical optomics: hyperspectral imaging and deep learning towards precision intraoperative automatic tissue recognition-results from the EX-MACHYNA trial.Surgical endoscopy · 2024Article
- Intra-abdominal laparoscopic assessment of organs perfusion using imaging photoplethysmography.Surgical endoscopy · 2023Article
- In Vitro Antibody Quantification with Hyperspectral Imaging in a Large Field of View for Clinical Applications.Bioengineering (Basel, Switzerland) · 2023Article
- Quantification of bowel ischaemia using real-time multispectral Single Snapshot Imaging of Optical Properties (SSOP).Surgical endoscopy · 2023Article
- A High-Speed Hyperspectral Laparoscopic Imaging System.Proceedings of SPIE--the International Society for Optical Engineering · 2023Article
- Hyperspectral Imaging for Viability Assessment of Human Liver Allografts During Normothermic Machine Perfusion.Transplantation direct · 2022Article
- Hyperspectral Imaging in Major Hepatectomies: Preliminary Results from the Ex-Machyna Trial.Cancers · 2022Article
- Intraoperative bowel perfusion quantification with hyperspectral imaging: a guidance tool for precision colorectal surgery.Surgical endoscopy · 2022Article
- Computer-Assisted Differentiation between Colon-Mesocolon and Retroperitoneum Using Hyperspectral Imaging (HSI) Technology.Diagnostics (Basel, Switzerland) · 2022Article
- Hyperspectral Evaluation of the Human Liver During Major Resection.Annals of surgery open : perspectives of surgical history, education, and clinical approaches · 2022Article
- Article
- Intraoperative Guidance Using Hyperspectral Imaging: A Review for Surgeons.Diagnostics (Basel, Switzerland) · 2021Review
- Prediction of In Vivo Laser-Induced Thermal Damage with Hyperspectral Imaging Using Deep Learning.Sensors (Basel, Switzerland) · 2021Article
- Quantitative serosal and mucosal optical imaging perfusion assessment in gastric conduits for esophageal surgery: an experimental study in enhanced reality.Surgical endoscopy · 2021Article
- Automatic Liver Viability Scoring with Deep Learning and Hyperspectral Imaging.Diagnostics (Basel, Switzerland) · 2021Article
- Interpatient heterogeneity in hepatic microvascular blood flow during vascular inflow occlusion (Pringle manoeuvre).Hepatobiliary surgery and nutrition · 2021Article
- Hyperspectral Imagery for Assessing Laser-Induced Thermal State Change in Liver.Sensors (Basel, Switzerland) · 2021Article
- Intraoperative Perfusion Assessment in Enhanced Reality Using Quantitative Optical Imaging: An Experimental Study in a Pancreatic Partial Ischemia Model.Diagnostics (Basel, Switzerland) · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundClinical evaluation of the demarcation line separating ischemic from non-ischemic liver parenchyma may be challenging. Hyperspectral imaging (HSI) is a noninvasive imaging modality, which combines a camera with a spectroscope and allows quantitative imaging of tissue oxygenation. Our group developed a software to overlay HSI images onto the operative field, obtaining HSI-based enhanced reality (HYPER). The aim of the present study was to evaluate the accuracy of HYPER to identify the demarcation line after a left vascular inflow occlusion during an anatomical left hepatectomy. MATERIALS AND
methodsIn the porcine model (n = 3), the left branches of the hepatic pedicle were ligated. Before and after vascular occlusion, HSI images based on tissue oxygenation (StO
resultsAfter ligation, HSI demonstrated a significantly lower oxygenation (NIR index) in the left medial lobe (LML) (0.27% ± 0.21) when compared to the right medial lobe (RML) (58.60% ± 12.08; p = 0.0015). Capillary lactates were significantly higher (3.07 mmol/L ± 0.84 vs. 1.33 ± 0.71 mmol/L; p = 0.0356) in the LML versus RML, respectively. Concordantly, confocal videos demonstrated the absence of blood flow in the LML and normal perfusion in the RML.
conclusionsHYPER has made it possible to correctly identify the demarcation line and quantify surface liver oxygenation. HYPER could be an intraoperative tool to guide perfusion-based demarcation line assessment and segmentation.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.