Evidence map›Paper›PMID 26576784›Full record

ReviewJournal of medical ultrasonics (2001)2015

The lobar approach to breast ultrasound imaging and surgery.

Dominique Amy, Enzo Durante, Tibor Tot

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of medical ultrasonics (2001), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

7 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Article
  3. Breast Imaging Physics in Mammography (Part II).Diagnostics (Basel, Switzerland) · 2023
    Review
  4. Review
  5. Review
  6. Review
  7. 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

3 authors at 3 institutions in 3 countries.

Dominique AmyBreast Center, 21 Avenue Victor Hugo, Aix-en-Provence, 13100, France. domamy@wanadoo.fr.
Enzo DuranteInstitute of General Surgery, University of Ferrara, via C.Contini n° 19, 44123, Ferrara, Italy. drn@unife.it.
Tibor TotDepartment of Clinical Pathology and Cytology, Central Hospital Falun, 79182, Falun, Sweden. tibor.tot@ltdalarna.se.
Centre Paul Albert-Février · FRFalun Hospital · SEUniversity of Ferrara · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer is a lobar disease in the sense that, at the earliest stages, the cancer is structurally confined to a single sick lobe. The subgross morphology of breast carcinoma is often complex, as multiple invasive foci are frequently present and the ductal system often contains an extensive in situ component. Adequate preoperative visualization of all of the malignant structures within the affected breast and preoperative mapping of the lesions in relation to the surrounding normal structures are essential for successful image-guided breast surgery and therefore are key factors in assuring adequate local control of the disease. We advocate use of the lobar approach in ultrasound imaging (ducto-radial echography) and breast-conserving surgery based on the lobar anatomy of the breast, the sick lobe theory, our extensive clinical experience with the approach, and favorable long-term patient outcomes. Despite abundant evidence demonstrating the advantages of the lobar approach, the number of breast centers using it in practice is still limited. In this review, we aim to call attention to the advantages of the lobar approach from the theoretical, imaging, and surgical points of view.

Indexed as

BreastBreast NeoplasmsFemaleHumansUltrasonography, MammaryBreast anatomyBreast cancerBreast-conserving surgeryLobar ultrasoundSick lobe theory

Identifiers

PMID26576784
OpenAlexW2023913444

What OpenQuestion holds

Textmetadata
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.