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Related Concept Videos

Imaging Studies I: Kidney, Ureter, and Bladder Studies01:28

Imaging Studies I: Kidney, Ureter, and Bladder Studies

437
Kidney, Ureter, and Bladder (KUB) StudiesKidney, Ureter, and Bladder (KUB) studies are standard diagnostic imaging procedures used to assess the anatomy of the urinary system. They are commonly utilized for patients experiencing abdominal pain or urinary symptoms. By using a simple X-ray of the abdomen, KUB studies can reveal structural and pathological abnormalities within the kidneys, ureters, and bladder. These studies are particularly valuable in diagnosing kidney stones, urinary...
437

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Related Experiment Video

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Using 2-Photon Microscopy to Quantify the Effects of Chronic Unilateral Ureteral Obstruction on Glomerular Processes
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Partial nephrectomy margin imaging using structured illumination microscopy.

Mei Wang1, David B Tulman2, Andrew B Sholl3

  • 1Department of Biomedical Engineering, Tulane University, New Orleans, Louisiana.

Journal of Biophotonics
|August 24, 2017
PubMed
Summary
This summary is machine-generated.

Video-rate structured illumination microscopy (VR-SIM) offers a rapid, non-destructive method for detecting positive surgical margins during partial nephrectomy. This technology may improve patient outcomes by enabling real-time margin assessment, supporting nephron-sparing surgery.

Keywords:
cancermargin imagingpartial nephrectomyrenal cell carcinomastructured illumination microscopy

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Area of Science:

  • Urology
  • Surgical Pathology
  • Medical Imaging

Background:

  • Partial nephrectomy (PN) is preferred for small renal masses (T1a), but risks positive surgical margins (PSM).
  • Current intraoperative margin assessment is limited by time and sample destruction.
  • PSM are linked to adverse clinical outcomes, necessitating improved detection methods.

Purpose of the Study:

  • To investigate video-rate structured illumination microscopy (VR-SIM) for intraoperative PSM detection during PN.
  • To evaluate VR-SIM's efficacy in real-time margin assessment compared to standard histopathology.

Main Methods:

  • Developed a clinical image atlas of kidney tissue for VR-SIM analysis.
  • Utilized VR-SIM to image entire parenchymal margins of ex vivo renal biopsies.
  • Compared VR-SIM findings with standard postoperative histopathology for PSM identification.

Main Results:

  • VR-SIM generated diagnostically useful images comparable to permanent histopathology.
  • VR-SIM imaged significantly larger margin surface areas (>1800x) than traditional methods.
  • Pathologists accurately classified all margins as negative for PSM using VR-SIM with the aid of the image atlas.

Conclusions:

  • VR-SIM shows potential as an intraoperative tool for PSM detection during PN.
  • Rapid, extensive margin evaluation with VR-SIM could serve as a safety net, promoting PN over radical nephrectomy.