Evidence map›Paper›PMID 30338678›Full record

ArticleJournal of biomedical optics2018

Tissue oxygen saturation predicts response to breast cancer neoadjuvant chemotherapy within 10 days of treatment.

Jeffrey M Cochran, David R Busch, Anaïs Leproux, Zheng Zhang, Thomas D O'Sullivan, Albert E Cerussi, Philip M Carpenter, Rita S Mehta, Darren Roblyer, Wei Yang and 13 more

Open access · goldAbstract read
In one paragraph

Article in Journal of biomedical optics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
6.5field-weighted citation impact, top 3% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

26 citing papers in PubMed, 60 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

23 authors at 10 institutions in 1 country.

Jeffrey M CochranUniversity of Pennsylvania, Department of Physics and Astronomy, Philadelphia, Pennsylvania, United States.
David R BuschUniversity of Texas Southwestern, Department of Anesthesiology and Pain Management, Dallas, Texas, United States.
Anaïs LeprouxUniversity of California, Beckman Laser Institute and Medical Clinic, Irvine, California, United States.
Zheng ZhangBrown University School of Public Health, Department of Biostatistics and Center for Statistical Sci, United States.
Thomas D O'SullivanUniversity of California, Beckman Laser Institute and Medical Clinic, Irvine, California, United States.
Albert E CerussiUniversity of California, Beckman Laser Institute and Medical Clinic, Irvine, California, United States.
Philip M CarpenterUniversity of Southern California, Keck School of Medicine, Department of Pathology, Los Angeles, Ca, United States.
Rita S MehtaUniversity of California Irvine, Department of Medicine, Irvine, California, United States.
Darren RoblyerBoston University, Department of Biomedical Engineering, Boston, Massachusetts, United States.
Wei YangUniversity of Texas MD Anderson Cancer Center, Department of Diagnostic Radiology, Houston, Texas, United States.
Keith D PaulsenThayer School of Engineering, Dartmouth College, Hanover, New Hampshire, United States.
Brian PogueThayer School of Engineering, Dartmouth College, Hanover, New Hampshire, United States.
Shudong JiangThayer School of Engineering, Dartmouth College, Hanover, New Hampshire, United States.
Peter A KaufmanDartmouth-Hitchcock Medical Center, Department of Hematology and Oncology, Lebanon, New Hampshire, United States.
So Hyun ChungUniversity of Pennsylvania, Department of Physics and Astronomy, Philadelphia, Pennsylvania, United States.
Mitchell SchnallUniversity of Pennsylvania, Department of Radiology, Philadelphia, Pennsylvania, United States.
Bradley S SnyderBrown University School of Public Health, Center for Statistical Sciences, Providence, Rhode Island, United States.
Nola HyltonUniversity of California, Department of Radiology, San Francisco, California, United States.
Stefan A CarpMassachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging, Department of R, United States.
Steven J IsakoffMassachusetts General Hospital, Department of Hematology and Oncology, Boston, Massachusetts, United States.
David MankoffUniversity of Pennsylvania, Division of Nuclear Medicine, Department of Radiology, Philadelphia, Pen, United States.
Bruce J TrombergUniversity of California, Beckman Laser Institute and Medical Clinic, Irvine, California, United States.
Arjun G YodhUniversity of Pennsylvania, Department of Physics and Astronomy, Philadelphia, Pennsylvania, United States.
Beckman Laser Institute and Medical Clinic · USUniversity of Pennsylvania · USCalifornia University of Pennsylvania · USDartmouth College · USBrown University · USBoston University · USThe University of Texas MD Anderson Cancer Center · USThe University of Texas Southwestern Medical Center · USUniversity of California, Irvine · USUniversity of Southern California · US

Funding

ARRA - ADOPT New Technologies for RDC/CDMSU01CA080098 · NCI · AMERICAN COLLEGE OF RADIOLOGY · PI SCHNALL, MITCHELL D. · 1999 to 2011
$182.7M
Project-006U10CA180820 · NCI · ECOG-ACRIN MEDICAL RESEARCH FOUNDATION · PI Peter J ODwyer · 2014 to 2026
$167.6M
Statistics CoreU10CA180794 · NCI · DANA-FARBER CANCER INST · PI PAUL J CATALANO · 2014 to 2026
$111.2M
Univ.of Calif., Irvine Cancer Center Support GrantP30CA062203 · NCI · UNIVERSITY OF CALIFORNIA-IRVINE · PI Melanie Funes · 1994 to 2026
$57.9M
BIOSTATISTICS DATA MANAGEMENT CENTER FOR ACROINU01CA079778 · NCI · BROWN UNIVERSITY · PI GATSONIS, CONSTANTINE A. · 1999 to 2011
$48.6M
University of California Health Participation in the National COVID Cohort Collaborative (N3C)UL1TR001414 · NCATS · UNIVERSITY OF CALIFORNIA-IRVINE · PI COOPER, DAN M, VILAIN, ERIC J. · 2015 to 2023
$35.1M
Training in Molecular Therapeutics for Pediatric CardiologyT32HL007915 · NHLBI · CHILDREN'S HOSP OF PHILADELPHIA · PI Robert J Levy, JOSEPH W ROSSANO · 1999 to 2026
$13.4M
Training and DisseminationP41EB015893 · NIBIB · UNIVERSITY OF PENNSYLVANIA · PI REDDY, RAVINDER · 2012 to 2019
$11.3M
Virtual Photonocs TechnologiesP41EB015890 · NIBIB · UNIVERSITY OF CALIFORNIA-IRVINE · PI DURKIN, ANTHONY · 2012 to 2017
$7.0M
Diffuse Optics for Acute Stroke ManagementR01NS060653 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI YODH, ARJUN G. · 2008 to 2018
$5.5M
Developing DOSI Technology for Monitoring Response To Breast Cancer ChemotherapyR01CA142989 · NCI · UNIVERSITY OF CALIFORNIA-IRVINE · PI DURKIN, ANTHONY J · 2010 to 2017
$4.1M
Multi-Spectral Parallel-Plate Diffuse Optical Breast TomographyR01EB002109 · NIBIB · UNIVERSITY OF PENNSYLVANIA · PI YODH, ARJUN G. · 2003 to 2012
$3.9M
NCATS NIH HHS UL1 TR001414NCI NIH HHS P30 CA062203NCI NIH HHS R01 CA142989NCI NIH HHS U01 CA079778NCI NIH HHS U01 CA080098NCI NIH HHS U10 CA180794NCI NIH HHS U10 CA180820NCI NIH HHS U54 CA136400NHLBI NIH HHS T32 HL007915NIBIB NIH HHS P41 EB015890NIBIB NIH HHS P41 EB015893NIBIB NIH HHS R01 EB002109NINDS NIH HHS R01 NS060653NINDS NIH HHS R01 NS072338NINDS NIH HHS R01 NS082309
6 · The paper itself

Abstract

Ideally, neoadjuvant chemotherapy (NAC) assessment should predict pathologic complete response (pCR), a surrogate clinical endpoint for 5-year survival, as early as possible during typical 3- to 6-month breast cancer treatments. We introduce and demonstrate an approach for predicting pCR within 10 days of initiating NAC. The method uses a bedside diffuse optical spectroscopic imaging (DOSI) technology and logistic regression modeling. Tumor and normal tissue physiological properties were measured longitudinally throughout the course of NAC in 33 patients enrolled in the American College of Radiology Imaging Network multicenter breast cancer DOSI trial (ACRIN-6691). An image analysis scheme, employing z-score normalization to healthy tissue, produced models with robust predictions. Notably, logistic regression based on z-score normalization using only tissue oxygen saturation (StO2) measured within 10 days of the initial therapy dose was found to be a significant predictor of pCR (AUC  =  0.92; 95% CI: 0.82 to 1). This observation suggests that patients who show rapid convergence of tumor tissue StO2 to surrounding tissue StO2 are more likely to achieve pCR. This early predictor of pCR occurs prior to reductions in tumor size and could enable dynamic feedback for optimization of chemotherapy strategies in breast cancer.

Indexed as

Neoadjuvant TherapyAdultAntineoplastic AgentsBiomarkersBreast NeoplasmsChemotherapy, AdjuvantFemaleHumansLogistic ModelsMiddle AgedOxygen ConsumptionPoint-of-Care TestingROC CurveSpectroscopy, Near-InfraredSurvival AnalysisAntineoplastic AgentsBiomarkersbiomedical opticsbreast cancerdiffuse optical spectroscopyneoadjuvant chemotherapytherapy monitoringtranslational imaging

Identifiers

PMID30338678
PMCPMC6194199
OpenAlexW2896726508

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.