Evidence map›Paper›PMID 28190249›Full record

ArticleBreast cancer research and treatment2017

Diffuse optical tomography changes correlate with residual cancer burden after neoadjuvant chemotherapy in breast cancer patients.

Emerson A Lim, Jacqueline E Gunther, Hyun K Kim, Molly Flexman, Hanina Hibshoosh, Katherine Crew, Bret Taback, Jessica Campbell, Kevin Kalinsky, Andreas Hielscher and 1 more

Abstract read
In one paragraph

Article in Breast cancer research and treatment, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Emerging Breast Imaging Technologies on the Horizon.Seminars in ultrasound, CT, and MR · 2018
    Article
  12. 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

11 authors.

Emerson A LimDivision of Hematology/Oncology, Department of Medicine, Columbia University Medical Center, 161 Fort Washington Avenue, 9th Floor, New York, NY, 10032, USA. el2342@cumc.columbia.edu.ORCID 0000-0001-7269-349X
Jacqueline E GuntherDepartment of Biomedical Engineering, Columbia University, 500 West 120th Street, 341 Mudd Bldg, New York, NY, 10027, USA.
Hyun K KimDepartment of Radiology, Columbia University, 650 West 168th Street, Black Building, Rm 1727, New York, NY, 10032, USA.
Molly FlexmanPhilips Research Americas, 2 Canal Park, 3rd Floor, Cambridge, MA, 02141, USA.
Hanina HibshooshDepartment of Pathology and Cell Biology, Columbia University Medical Center, 630 West 168th Street, VC 14-215, New York, NY, 10032, USA.
Katherine CrewDivision of Hematology/Oncology, Department of Medicine, Department of Epidemiology, Columbia University Medical Center, 161 Fort Washington Avenue, 10th Floor, New York, NY, 10032, USA.
Bret TabackDepartment of Surgery, Columbia University Medical Center, 161 Fort Washington Avenue, 10th Floor, New York, NY, 10032, USA.
Jessica CampbellHerbert Irving Comprehensive Cancer Center, 161 Fort Washington Avenue, Mezzanine, New York, NY, 10032, USA.
Kevin KalinskyDivision of Hematology/Oncology, Department of Medicine, Department of Epidemiology, Columbia University Medical Center, 161 Fort Washington Avenue, 10th Floor, New York, NY, 10032, USA.
Andreas HielscherDepartment of Biomedical Engineering, Columbia University, Engineering Terrace 351, Mail Code 8904, New York, NY, 10027, USA.
Dawn L HershmanDivision of Hematology/Oncology, Department of Medicine, Department of Epidemiology, Columbia University Medical Center, 161 Fort Washington Avenue, 10th Floor, New York, NY, 10032, USA.

Funding

Clinical and Translational Science AwardKL2TR000081 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GINSBERG, HENRY N · 2012 to 2015
$3.3M
NCATS NIH HHS KL2 TR000081
6 · The paper itself

Abstract

purposeBreast cancer (BC) patients who achieve a favorable residual cancer burden (RCB) after neoadjuvant chemotherapy (NACT) have an improved recurrence-free survival. Those who have an unfavorable RCB will have gone through months of ineffective chemotherapy. No ideal method exists to predict a favorable RCB early during NACT. Diffuse optical tomography (DOT) is a novel imaging modality that uses near-infrared light to assess hemoglobin concentrations within breast tumors. We hypothesized that the 2-week percent change in DOT-measured hemoglobin concentrations would associate with RCB.

methodsWe conducted an observational study of 40 women with stage II-IIIC BC who received standard NACT. DOT imaging was performed at baseline and 2 weeks after treatment initiation. We evaluated the associations between the RCB index (continuous measure), class (categorical 0, I, II, III), and response (RCB class 0/I = favorable, RCB class II/III = unfavorable) with changes in DOT-measured hemoglobin concentrations.

resultsThe RCB index correlated significantly with the 2-week percent change in oxyhemoglobin [HbO

conclusionThe 2-week percent change in DOT-measured hemoglobin concentrations was associated with the RCB index, class, and response. DOT may help guide NACT for women with BC.

Indexed as

Tomography, OpticalAdultAntineoplastic Combined Chemotherapy ProtocolsBiomarkers, TumorBreast NeoplasmsFemaleHumansMagnetic Resonance ImagingMammographyMiddle AgedNeoadjuvant TherapyNeoplasm, ResidualNeoplasm StagingSensitivity and SpecificityTumor BurdenBiomarkers, TumorBreast cancerDiffuse optical tomographyImagingNeoadjuvant chemotherapy

Identifiers

PMID28190249
PMCPMC9434699

What OpenQuestion holds

Textmetadata
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.