Literature DB >> 20382020

Cost-benefit analysis of using large-format histology sections in routine diagnostic breast care.

Tibor Tot1.   

Abstract

Large-format histopathology allows correct documentation of tumor size, lesion distribution, disease extent, and surgical margins, and facilitates better understanding of the complex morphology of breast carcinoma. Large-format histology slides are optimal tools for radiology-pathology correlations. Adapted to the needs of diagnostic routine, this method has the advantages of the conventional small block techniques while being able to analyze large contiguous pieces of breast tissue. The costs connected to implementing and utilizing this technique, analyzed in detail in this paper, exceed those of conventional histopathology only if the conventional sampling is limited and specimen work-up is insufficient. Documenting equally large tissue surfaces with thorough conventional sampling is much more expensive and laborious than when using large-format sections. Thus, large-format histopathology is the only cost-effective histotechnology method that meets the needs of modern multidisciplinary diagnostic breast care. 2010 Elsevier Ltd. All rights reserved.

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Year:  2010        PMID: 20382020     DOI: 10.1016/j.breast.2010.03.015

Source DB:  PubMed          Journal:  Breast        ISSN: 0960-9776            Impact factor:   4.380


  8 in total

1.  Which factors influence MRI-pathology concordance of tumour size measurements in breast cancer?

Authors:  M Rominger; D Berg; T Frauenfelder; A Ramaswamy; N Timmesfeld
Journal:  Eur Radiol       Date:  2015-08-14       Impact factor: 5.315

Review 2.  The role of radiological-pathological correlation in diagnosing early breast cancer: the pathologist's perspective.

Authors:  Tibor Tot; László Tabár
Journal:  Virchows Arch       Date:  2010-11-03       Impact factor: 4.064

Review 3.  A Survey on Coronary Atherosclerotic Plaque Tissue Characterization in Intravascular Optical Coherence Tomography.

Authors:  Alberto Boi; Ankush D Jamthikar; Luca Saba; Deep Gupta; Aditya Sharma; Bruno Loi; John R Laird; Narendra N Khanna; Jasjit S Suri
Journal:  Curr Atheroscler Rep       Date:  2018-05-21       Impact factor: 5.113

Review 4.  Progress on deep learning in digital pathology of breast cancer: a narrative review.

Authors:  Jingjin Zhu; Mei Liu; Xiru Li
Journal:  Gland Surg       Date:  2022-04

5.  Large format histology may aid in the detection of unsuspected pathologic findings of potential clinical significance: a prospective multiyear single institution study.

Authors:  Matthew R Foster; Lauren Harris; Karl W Biesemier
Journal:  Int J Breast Cancer       Date:  2012-09-20

6.  Disease Extent ≥4 cm Is a Prognostic Marker of Local Recurrence in T1-2 Breast Cancer.

Authors:  D Lindquist; D Hellberg; T Tot
Journal:  Patholog Res Int       Date:  2011-08-10

7.  The role of large-format histopathology in assessing subgross morphological prognostic parameters: a single institution report of 1000 consecutive breast cancer cases.

Authors:  Tibor Tot
Journal:  Int J Breast Cancer       Date:  2012-10-21

8.  The value of large sections in surgical pathology.

Authors:  Maria P Foschini; Chiara Baldovini; Yuko Ishikawa; Vincenzo Eusebi
Journal:  Int J Breast Cancer       Date:  2012-11-21
  8 in total

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