Evidence map›Paper›PMID 25294916›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2014

Predicting breast tumor response to neoadjuvant chemotherapy with diffuse optical spectroscopic tomography prior to treatment.

Shudong Jiang, Brian W Pogue, Peter A Kaufman, Jiang Gui, Michael Jermyn, Tracy E Frazee, Steven P Poplack, Roberta DiFlorio-Alexander, Wendy A Wells, Keith D Paulsen

Open access · bronzeAbstract read
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
9.7field-weighted citation impact, top 2% 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

44 citing papers in PubMed, 81 citations in OpenAlex.

  1. Article
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  14. Biomedical optics express · 2021
    Article
  15. Oncotarget · 2021
    Article
  16. Article
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  19. Oncotarget · 2019
    Article
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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

10 authors at 1 institution in 1 country.

Shudong JiangThayer School of Engineering, Dartmouth College, Hanover, New Hampshire. shudong.jiang@dartmouth.edu.
Brian W PogueThayer School of Engineering, Dartmouth College, Hanover, New Hampshire.
Peter A KaufmanDepartment of Medicine, Giesel School of Medicine, Hanover, New Hampshire.
Jiang GuiDepartment of Community and Family Medicine, Giesel School of Medicine, Hanover, New Hampshire.
Michael JermynThayer School of Engineering, Dartmouth College, Hanover, New Hampshire.
Tracy E FrazeeDepartment of Diagnostic Radiology, Giesel School of Medicine, Hanover, New Hampshire.
Steven P PoplackDepartment of Diagnostic Radiology, Giesel School of Medicine, Hanover, New Hampshire.
Roberta DiFlorio-AlexanderDepartment of Diagnostic Radiology, Giesel School of Medicine, Hanover, New Hampshire.
Wendy A WellsDepartment of Pathology, Giesel School of Medicine, Hanover, New Hampshire.
Keith D PaulsenThayer School of Engineering, Dartmouth College, Hanover, New Hampshire. Department of Diagnostic Radiology, Giesel School of Medicine, Hanover, New Hampshire.
Dartmouth College · US

Funding

Translational Engineering in Cancer (TEC)P30CA023108 · NCI · DARTMOUTH COLLEGE · PI Steven D Leach · 1985 to 2026
$91.3M
Near Infrared Spectroscopy and ImagingP01CA080139 · NCI · DARTMOUTH COLLEGE · PI POPLACK, STEVEN P · 1999 to 2010
$13.6M
FREQUENCY DOMAIN OPTICAL IMAGING OF BREAST CANCERR01CA069544 · NCI · DARTMOUTH COLLEGE · PI PAULSEN, KEITH D. · 1996 to 2012
$2.4M
Monitoring Neoadjuvant Chemotherapy Responses with NIR TomographyR01CA176086 · NCI · DARTMOUTH COLLEGE · PI JIANG, SHUDONG · 2014 to 2018
$2.0M
NIRFASTR01CA132750 · NCI · DARTMOUTH COLLEGE · PI POGUE, BRIAN WILLIAM · 2009 to 2012
$1.2M
NIR Hypoxia Imaging of Breast Tumor Response to Neoadjuvant Chemotherapy in VivoR21CA135303 · NCI · DARTMOUTH COLLEGE · PI JIANG, SHUDONG · 2009 to 2010
$373k
NCI NIH HHS P01 CA080139NCI NIH HHS P01 CA80139NCI NIH HHS P30 CA023108NCI NIH HHS R01 CA069544NCI NIH HHS R01CA069544NCI NIH HHS R01 CA132750NCI NIH HHS R01 CA176086NCI NIH HHS R01CA176086NCI NIH HHS R21 CA135303
6 · The paper itself

Abstract

purposeTo determine whether pretreatment biomarkers obtained from diffuse optical spectroscopic tomographic (DOST) imaging predicts breast tumor response to neoadjuvant chemotherapy (NAC), which would have value to potentially eliminate delays in prescribing definitive local regional therapy that may occur from a standard complete 6- to 8-month course of NAC. EXPERIMENTAL

designNineteen patients undergoing NAC were imaged with DOST before, during, and after treatment. The DOST images of total hemoglobin concentration (HbT), tissue oxygen saturation (StO2), and water (H2O) fraction at different time points have been used for testing the abilities of differentiating patients having pathologic complete response (pCR) versus pathologic incomplete response (pIR).

resultsSignificant differences (P < 0.001, AUC = 1.0) were found between pCR patients versus pIR in outcome, based on the percentage change in tumor HbT within the first cycle of treatment. In addition, pretreatment tumor HbT (pretreatment HbT) relative to the contralateral breast was statistically significant (P = 0.01, AUC = 0.92) in differentiating pCR from pIR.

conclusionsThis is the first clinical evidence that DOST HbT may differentiate the two groups with predictive significance based on data acquired before NAC even begins. The study also demonstrates the potential of accelerating the validation of optimal NAC regimens through future randomized clinical trials by reducing the number of patients required and the length of time they need to be followed by using a validated imaging surrogate as an outcome measure.

Indexed as

AdultAgedAntineoplastic Combined Chemotherapy ProtocolsBreast NeoplasmsFemaleHumansMagnetic Resonance ImagingMiddle AgedNeoadjuvant TherapyPrognosisRisk FactorsROC CurveTomography, OpticalTreatment OutcomeTumor Burden

Identifiers

PMID25294916
PMCPMC4254218
OpenAlexW2002273636

What OpenQuestion holds

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LicenceTDM
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.