Evidence map›Paper›PMID 30225621›Full record

ArticleBreast cancer research and treatment2018

Micro-computed tomography enables rapid surgical margin assessment during breast conserving surgery (BCS): correlation of whole BCS micro-CT readings to final histopathology.

David M McClatchy, Rebecca A Zuurbier, Wendy A Wells, Keith D Paulsen, Brian W Pogue

2 registry-linked trialsAbstract read
In one paragraph

Article in Breast cancer research and treatment, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–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.

NCT04478669 completednot on this mapstarted 2020, after this paper: background citation

Optimal Imaging Methods to Reduce Repeat Surgery in Invasive Breast Cancer

TypeobservationalSponsorAarhus University HospitalRan2020 to 2022Enrolled250ConditionsInvasive Breast Cancer, Mastectomy, Segmental, Margins of Excision
NCT07131735 recruitingnot on this mapstarted 2023, after this paper: background citation

Intraoperative Detection of Breast Cancer by Electrosurgical Gas Analysis and Artificial Intelligence

Typeobservational_patient_registrySponsorPontificia Universidad Catolica de ChileRan2023 to 2025Enrolled30ConditionsBreast Cancer
3 · Its place in the literature

Who cites it

20 citing papers in PubMed.

  1. Article
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  5. Engineering the future of 3D pathology.The journal of pathology. Clinical research · 2024
    Article
  6. Review
  7. Article
  8. Article
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  11. Intraoperative imaging in pathology-assisted surgery.Nature biomedical engineering · 2022
    Review
  12. Article
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  15. 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

5 authors.

David M McClatchyThayer School of Engineering, Dartmouth College, 14 Engineering Drive, Hanover, NH, 03755, USA. dmcclatchy@mgh.harvard.edu.ORCID http://orcid.org/0000-0003-0879-5779
Rebecca A ZuurbierDepartment of Radiology, Geisel School of Medicine, Dartmouth College, 1 Rope Ferry Road, Hanover, NH, 03755, USA.
Wendy A WellsDepartment of Pathology, Geisel School of Medicine, Dartmouth College, 1 Rope Ferry Road, Hanover, NH, 03755, USA.
Keith D PaulsenThayer School of Engineering, Dartmouth College, 14 Engineering Drive, Hanover, NH, 03755, USA.
Brian W PogueThayer School of Engineering, Dartmouth College, 14 Engineering Drive, Hanover, NH, 03755, USA.

Funding

Optical Scatter Imaging System for Surgical Specimen Margin Assessment during Breast Conserving SurgeryR01CA192803 · NCI · DARTMOUTH COLLEGE · PI PAULSEN, KEITH D., POGUE, BRIAN WILLIAM · 2015 to 2019
$2.7M
Structured Light Scatteroscopy for Intraoperative Breast Tumor Margin AssessmentF31CA196308 · NCI · DARTMOUTH COLLEGE · PI MCCLATCHY III, DAVID · 2016 to 2018
$94k
National Cancer Institute F31CA196308National Cancer Institute R01CA192803NCI NIH HHS F31 CA196308NCI NIH HHS R01 CA192803
6 · The paper itself

Abstract

backgroundRoughly 23% of breast conserving surgery (BCS) patients undergo a second re-excision procedure due to pathologically positive surgical margins. We investigated the feasibility and potential value of micro-Computed Tomography (micro-CT) as a surgical margin guidance tool during BCS.

methodsA cohort of 32 BCS specimens was prospectively imaged with a pre-clinical micro-CT system upon arrival in the surgical pathology laboratory. Reconstructed micro-CT scans were evaluated retrospectively by an experienced breast radiologist, who provided binary determinations whether lesions extended to the specimen margin. These readings were then compared to the final pathological diagnosis and to 2D specimen radiography readings.

resultsOf the 32 specimens imaged, 28 had malignant and four had benign pathological diagnoses. Overall five (four malignant, one benign) of the 32 specimens had lesion tissue extending to the margin. For all 32 specimens, micro-CT reconstructions were calculated (< 4 min. acquisition + reconstruction time) and each specimen was volumetrically analyzed by a radiologist. Of the 28 malignant specimen readings, 18 matched the final pathological diagnosis [64%, 95 CI (47%-81%)], with a negative predictive value of 89% [95 CI (74%-96%)]. Micro-CT readings revealed changes in the tumor location and margin status as compared to single-projection radiography readings.

conclusionsMicro-CT scanning of BCS specimens enabled margin status assessment over the entirety of the surgical surface in a clinically relevant time frame, provided additional spatial information over single-projection radiography, and may be a potentially useful BCS guidance tool.

Indexed as

Breast NeoplasmsCarcinoma, Intraductal, NoninfiltratingFemaleHumansMammographyMastectomy, SegmentalX-Ray MicrotomographyBreast conserving surgeryIntraoperativeMicro-computed tomographySurgical margin assessment

Identifiers

PMID30225621
PMCPMC6245085

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Registered trials

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.