Evidence map›Paper›PMID 36686407›Full record

ArticleJournal of breast imaging

Quantitative Changes in Intratumoral Habitats on MRI Correlate With Pathologic Response in Early-stage ER/PR+ HER2- Breast Cancer Treated With Preoperative Stereotactic Ablative Body Radiotherapy.

R Jared Weinfurtner, Mahmoud Abdalah, Olya Stringfield, Dana Ataya, Angela Williams, Blaise Mooney, Marilin Rosa, Marie C Lee, Nazanin Khakpour, Christine Laronga and 8 more

Open access · greenAbstract read
In one paragraph

Article in Journal of breast imaging. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 31% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. MRI-based habitat imaging in cancer treatment: current technology, applications, and challenges.Cancer imaging : the official publication of the International Cancer Imaging Society · 2024
    Review
  5. 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

18 authors at 1 institution in 1 country.

R Jared WeinfurtnerMoffitt Cancer Center, Department of Radiology, Tampa, FL, USA.ORCID 0000-0002-4245-8744
Mahmoud AbdalahMoffitt Cancer Center, Quantitative Imaging Core, Tampa, Fl, USA.
Olya StringfieldMoffitt Cancer Center, Quantitative Imaging Core, Tampa, Fl, USA.
Dana AtayaMoffitt Cancer Center, Department of Radiology, Tampa, FL, USA.
Angela WilliamsMoffitt Cancer Center, Department of Radiology, Tampa, FL, USA.
Blaise MooneyMoffitt Cancer Center, Department of Radiology, Tampa, FL, USA.
Marilin RosaMoffitt Cancer Center, Department of Pathology, Tampa, FL, USA.
Marie C LeeMoffitt Cancer Center, Department of Surgery, Tampa, FL, USA.
Nazanin KhakpourMoffitt Cancer Center, Department of Surgery, Tampa, FL, USA.
Christine LarongaMoffitt Cancer Center, Department of Surgery, Tampa, FL, USA.
Brian CzernieckiMoffitt Cancer Center, Department of Surgery, Tampa, FL, USA.
Roberto DiazMoffitt Cancer Center, Department of Radiation Oncology, Tampa, FL, USA.
Kamran AhmedMoffitt Cancer Center, Department of Radiation Oncology, Tampa, FL, USA.
Iman WashingtonMoffitt Cancer Center, Department of Radiation Oncology, Tampa, FL, USA.
Kujtim LatifiMoffitt Cancer Center, Department of Radiation Oncology, Tampa, FL, USA.
Bethany L NiellMoffitt Cancer Center, Department of Radiology, Tampa, FL, USA.
Michael MontejoMoffitt Cancer Center, Department of Radiation Oncology, Tampa, FL, USA.
Natarajan RaghunandMoffitt Cancer Center, Department of Cancer Physiology, Tampa, FL, USA.ORCID 0000-0002-8893-7687
Moffitt Cancer Center · US

Funding

TRANSLATIONAL RESEARCHP30CA076292 · NCI · UNIVERSITY OF SOUTH FLORIDA · PI Christine O'Connell · 1998 to 2026
$93.5M
NCI NIH HHS P30 CA076292
6 · The paper itself

Abstract

Objective: To quantitatively evaluate intratumoral habitats on dynamic contrast-enhanced (DCE) breast MRI to predict pathologic breast cancer response to stereotactic ablative body radiotherapy (SABR). Methods: Participants underwent SABR treatment (28.5 Gy x3), baseline and post-SABR MRI, and breast-conserving surgery for ER/PR+ HER2- breast cancer. MRI analysis was performed on DCE T1-weighted images. MRI voxels were assigned eight habitats based on high (H) or low (L) maximum enhancement and the sequentially numbered dynamic sequence of maximum enhancement (H1-4, L1-4). MRI response was analyzed by percent tumor volume remaining (%VR = volume post-SABR/volume pre-SABR), and percent habitat makeup (%HM of habitat X = habitat X voxels/total voxels in the segmented volume). These were correlated with percent tumor bed cellularity (%TC) for pathologic response. Results: Sixteen patients completed the trial. The %TC ranged 20%-80%. MRI %VR demonstrated strong correlations with %TC (Pearson R = 0.7-0.89). Pre-SABR tumor %HMs differed significantly from whole breasts ( Conclusion: In patients undergoing preoperative SABR treatment for ER/PR+ HER2- breast cancer, quantitative MRI habitat analysis of %VR and %HM change correlates with pathologic response.

Indexed as

breast cancerbreast MRIneoadjuvant therapy responsestereotactic ablative body radiotherapytumor habitats

Identifiers

PMID36686407
PMCPMC9851176
OpenAlexW4226340152

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.