International Journal of Breast Cancer

Large-format Histology in Diagnosing Breast Carcinoma


Publishing date
30 Nov 2012
Status
Published
Submission deadline
07 Sep 2012

Lead Editor

1Department of Pathology and Clinical Cytology, Falun Central Hospital, 791 82 Falun, Sweden

2Section of Anatomic and Cytopathology “Marcello Malpighi”, Ospedale Bellaria, University of Bologna 40139 Bologna, Italy

3Memorial Care Breast Center (OCMMC), University of California at Irvine, 9920 Talbert Avenue, Fountain Valley, CA 92708, USA


Large-format Histology in Diagnosing Breast Carcinoma

Description

Proper assessment of tumor size, lesion distribution, and disease extent is essential for adequate morphologic characterization of breast carcinoma. These parameters are of prognostic significance and are also important for therapeutic decision making, not only in advanced cases, but also in tumors at early stage of their natural history as a considerable proportion of these cases are multifocal or diffused and extensive. Modern imaging methods (modern ultrasound and magnetic resonance imaging) detect multiple foci with high-accuracy challenging breast pathologists to apply diagnostic methods matching the sensitivity of the improved imaging. On the other hand, identification of small additional tumor foci is difficult because they are often hardly visible on macroscopic examination of the tissue and are regularly missed during the traditional histological workup characterized by fragmenting the specimen into 1-2 cm tissue blocks and sampling the visible tumor(s). This is especially true if such sampling is carried out without radiological guidance. Embedding 3-4 mm thick slices of the specimen into large paraffin blocks without fragmentation allows visualization of cross-sections of the entire specimen with most of these tumor foci included and with their interrelation preserved for proper assessment of the above-mentioned parameters. In addition, the method allows adequate characterization of the in situ component of the tumors, which also carries prognostic information. Despite these facts, large-format histology is used routinely for diagnosing breast carcinoma in only a few laboratories around the world.

We invite authors with experience in using large-format histology to submit review articles or original research articles to this special issue to illustrate the advantages of the method for the wide professional community and to stimulate practicing pathologist to explore these advantages in their everyday clinical practice. Potential topics include, but are not limited to:

  • Accurate assessment of subgross histological prognostic parameters
  • The impact of using large-format histology on management of the patients with special focus on individual tailored surgery
  • Radiological-pathological correlation in assessing the subgross prognostic parameters, especially regarding magnetic resonance imaging and other modern imaging methods
  • Multifocality in breast carcinoma and its clinical significance
  • Three-dimensional reconstruction of breast lesions
  • Large-format histology in diagnosing cancers of other organs
  • Methodological issues
  • Cost-benefit analysis of using large-format histology

Before submission authors should carefully read over the journal's Author Guidelines, which are located at http://www.hindawi.com/journals/ijbc/guidelines/. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at http://mts.hindawi.com/submit/journals/ijbc/dbc/ according to the following timetable:


Articles

  • Special Issue
  • - Volume 2012
  • - Article ID 618796
  • - Editorial

Large-Format Histology in Diagnosing Breast Carcinoma

Tibor Tot | Vincenzo Eusebi | Julio A. Ibarra
  • Special Issue
  • - Volume 2012
  • - Article ID 691205
  • - Research Article

3D Pathology Volumetric Technique: A Method for Calculating Breast Tumour Volume from Whole-Mount Serial Section Images

G. M. Clarke | M. Murray | ... | M. J. Yaffe
  • Special Issue
  • - Volume 2012
  • - Article ID 171792
  • - Review Article

Imaging-Assisted Large-Format Breast Pathology: Program Rationale and Development in a Nonprofit Health System in the United States

F. Lee Tucker
  • Special Issue
  • - Volume 2012
  • - Article ID 785947
  • - Review Article

The Value of Large Sections in Surgical Pathology

Maria P. Foschini | Chiara Baldovini | ... | Vincenzo Eusebi
  • Special Issue
  • - Volume 2012
  • - Article ID 395415
  • - Review Article

The Role of Large-Format Histopathology in Assessing Subgross Morphological Prognostic Parameters: A Single Institution Report of 1000 Consecutive Breast Cancer Cases

Tibor Tot
  • Special Issue
  • - Volume 2012
  • - Article ID 361707
  • - Clinical Study

The Value of Combined Large Format Histopathology Technique to Assess the Surgically Removed Breast Tissue following Neoadjuvant Chemotherapy: A Single Institution Study of 40 Cases

Julio A. Ibarra
  • Special Issue
  • - Volume 2012
  • - Article ID 436141
  • - Research Article

Comparison of the Subgross Distribution of the Lesions in Invasive Ductal and Lobular Carcinomas of the Breast: A Large-Format Histology Study

Syster Hofmeyer | Gyula Pekár | ... | Tibor Tot
  • Special Issue
  • - Volume 2012
  • - Article ID 489345
  • - Review Article

The Ongoing Revolution in Breast Imaging Calls for a Similar Revolution in Breast Pathology

L. Tabár | P. B. Dean | ... | M. Ingvarsson
  • Special Issue
  • - Volume 2012
  • - Article ID 532547
  • - Clinical Study

Large Format Histology May Aid in the Detection of Unsuspected Pathologic Findings of Potential Clinical Significance: A Prospective Multiyear Single Institution Study

Matthew R. Foster | Lauren Harris | Karl W. Biesemier
  • Special Issue
  • - Volume 2012
  • - Article ID 932784
  • - Review Article

Handling of Radical Prostatectomy Specimens: Total Embedding with Large-Format Histology

Rodolfo Montironi | Antonio Lopez Beltran | ... | Marina Scarpelli
International Journal of Breast Cancer
 Journal metrics
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Acceptance rate8%
Submission to final decision122 days
Acceptance to publication25 days
CiteScore2.400
Journal Citation Indicator0.330
Impact Factor1.9
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