Repository logo
Log in(current)
Repository logoMIT Open ScholarshipDSpace@MIT
  1. Home
  2. MIT Open Access Articles
  3. MIT Open Access Articles
  4. Dual modal spectroscopic tissue scanner for colorectal cancer diagnosis
This is not the latest version of this item. The latest version can be found here.

Dual modal spectroscopic tissue scanner for colorectal cancer diagnosis

Thumbnail Image
Download
Name

464_2020_7929_ReferencePDF.pdf

Size

1.22 MB

Format

Adobe PDF

Checksum (MD5)

d7871f08374e9baf1ea6b048a5299d7e

Download all files submitted through automated deposit
art_6992912018113002916.zip (1.11 MB)
Author(s)
Yoon, Hong M.
•
Kim, Hongrae
•
Sohn, Dae K.
•
Park, Sung C.
•
Chang, Hee J.
•
Oh, Jae H.
•
Dasari, Ramachandra R.
•
So, Peter T. C.
•
Kang, Jeon W.
Date Issued
September 1, 2020
Publisher
Springer US
Version
Author's final manuscript
Abstract
Abstract Background Margin status is an important prognostic factor for treating colorectal cancer. This study aimed to investigate the usefulness of a multimodal spectroscopic tissue scanner for real-time cancer diagnosis without tissue staining. Patients and methods Diffuse reflectance spectra (DRS) and fluorescence spectra (FS) of < 1-mm-sized paired cancer and normal mucosa tissue were acquired using custom-built spectroscopic tissue scanners. For FS, we analyzed wavelengths and intensities at peaks and highest intensities near (± 1.25 nm) the known fluorescence spectral peaks of collagen (380 nm), reduced nicotinamide adenine dinucleotide (NADH, 460 nm), and flavin adenine dinucleotide (FAD, 550 nm). For DRS, we performed a similar analysis near the peaks of strong absorbers, oxyhemoglobin (oxyHb; 414 nm, 540 nm, and 576 nm) and deoxyhemoglobin (deoxyHb; 432 nm and 556 nm). Logistic regression analysis for these parameters was performed in the testing set. Results We acquired 17,735 spectra of cancer tissues and 9438 of normal tissues from 30 patients. Intensity peaks of representative normal spectra for FS and DRS were higher than those of representative cancer spectra. Logistic regression analysis showed wavelength and intensity at peaks, and the intensities of the peak wavelength of NADH, FAD, deoxyHb, and oxyHb had significant coefficients. The area under the receiver operating characteristic curve was 0.927. The scanner had 100%, 64.3%, and 85.3% sensitivity, specificity, and accuracy, respectively. Conclusions The spectroscopic tissue scanner has high sensitivity and accuracy and provides real-time intraoperative resection margin assessments and should be further investigated as an alternative to frozen section.
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
http://creativecommons.org/licenses/by-nc-sa/4.0/
Persistent DSpace Link
https://hdl.handle.net/1721.1/136908
DOI of Published Version
https://doi.org/10.1007/s00464-020-07929-2
Repository logo
PrivacyPermissionsAccessibilityContact us
Repository logo
Notify us about copyright concerns.