Evidence map›Paper›PMID 37109630›Full record

ReviewMedicina (Kaunas, Lithuania)2023

The Approach of Artificial Intelligence in Neuroendocrine Carcinomas of the Breast: A Next Step towards Precision Pathology?-A Case Report and Review of the Literature.

Diana Maria Chiorean, Melinda-Ildiko Mitranovici, Maria Cezara Mureșan, Corneliu-Florin Buicu, Raluca Moraru, Liviu Moraru, Titiana Cornelia Cotoi, Ovidiu Simion Cotoi, Adrian Apostol, Sabin Gligore Turdean and 7 more

Abstract readReviewCase Reports
In one paragraph

Review in Medicina (Kaunas, Lithuania), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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.

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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

17 authors.

Diana Maria ChioreanDepartment of Pathology, County Clinical Hospital of Targu Mures, 540072 Targu Mures, Romania.ORCID 0000-0002-7024-2916
Melinda-Ildiko MitranoviciDepartment of Obstetrics and Gynecology, Emergency County Hospital Hunedoara, 14 Victoriei Street, 331057 Hunedoara, Romania.ORCID 0000-0003-1596-6353
Maria Cezara MureșanDepartment of Obstetrics and Gynecology, "Victor Babes" University of Medicine and Pharmacy, 2 Eftimie Murgu Sq., 300041 Timisoara, Romania.
Corneliu-Florin BuicuPublic Health and Management Department, "George Emil Palade" University of Medicine, Pharmacy, Science and Technology of Targu Mures, 540139 Targu Mures, Romania.ORCID 0000-0002-7378-5756
Raluca MoraruFaculty of Medicine, "George Emil Palade" University of Medicine, Pharmacy, Sciences and Technology, 540142 Targu Mures, Romania.
Liviu MoraruDepartment of Anatomy, "George Emil Palade" University of Medicine, Pharmacy, Sciences and Technology, 540142 Targu Mures, Romania.
Titiana Cornelia CotoiDepartment of Pharmaceutical Technology, "George Emil Palade" University of Medicine, Pharmacy, Sciences and Technology, 540142 Targu Mures, Romania.
Ovidiu Simion CotoiDepartment of Pathology, County Clinical Hospital of Targu Mures, 540072 Targu Mures, Romania.
Adrian ApostolDepartment of Cardiology, "Victor Babes" University of Medicine and Pharmacy, 2 Eftimie Murgu Sq., 300041 Timisoara, Romania.
Sabin Gligore TurdeanDepartment of Pathology, County Clinical Hospital of Targu Mures, 540072 Targu Mures, Romania.ORCID 0000-0001-7085-4755
Claudiu MărgineanDepartment of Obstetrics and Gynecology, "George Emil Palade" University of Medicine, Pharmacy, Sciences and Technology, 540142 Targu Mures, Romania.
Ion PetreDepartment of Medical Informatics and Biostatistics, "Victor Babes" University of Medicine and Pharmacy, 2 Eftimie Murgu Sq., 300041 Timisoara, Romania.
Ioan Emilian OalăDepartment of Obstetrics and Gynecology, Emergency County Hospital Hunedoara, 14 Victoriei Street, 331057 Hunedoara, Romania.
Zsuzsanna Simon-SzaboDepartment of Pathophysiology, "George Emil Palade" University of Medicine, Pharmacy, Science, and Technology of Targu Mures, 38 Gheorghe Marinescu Street, 540142 Targu Mures, Romania.ORCID 0000-0002-6655-5987
Viviana IvanDepartment of Obstetrics and Gynecology, "Victor Babes" University of Medicine and Pharmacy, 2 Eftimie Murgu Sq., 300041 Timisoara, Romania.ORCID 0000-0003-4304-4911
Ancuța Noela RoșcaDepartment of Surgery, "George Emil Palade" University of Medicine, Pharmacy, Sciences and Technology, 540142 Targu Mures, Romania.
Havva Serap ToruDepartment of Pathology, Akdeniz University School of Medicine, Antalya Pınarbaşı, Konyaaltı, 07070 Antalya, Turkey.ORCID 0000-0002-4438-0434

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Primary neuroendocrine tumors (NETs) of the breast are considered a rare and undervalued subtype of breast carcinoma that occur mainly in postmenopausal women and are graded as G1 or G2 NETs or an invasive neuroendocrine carcinoma (NEC) (small cell or large cell). To establish a final diagnosis of breast carcinoma with neuroendocrine differentiation, it is essential to perform an immunohistochemical profile of the tumor, using antibodies against synaptophysin or chromogranin, as well as the MIB-1 proliferation index, one of the most controversial markers in breast pathology regarding its methodology in current clinical practice. A standardization error between institutions and pathologists regarding the evaluation of the MIB-1 proliferation index is present. Another challenge refers to the counting process of MIB-1's expressiveness, which is known as a time-consuming process. The involvement of AI (artificial intelligence) automated systems could be a solution for diagnosing early stages, as well. We present the case of a post-menopausal 79-year-old woman diagnosed with primary neuroendocrine carcinoma of the breast (NECB). The purpose of this paper is to expose the interpretation of MIB-1 expression in our patient' s case of breast neuroendocrine carcinoma, assisted by artificial intelligence (AI) software (HALO-IndicaLabs), and to analyze the associations between MIB-1 and common histopathological parameters.

Indexed as

Breast NeoplasmsCarcinoma, NeuroendocrineNeuroendocrine TumorsAgedArtificial IntelligenceBreastFemaleHumansbreast neuroendocrine tumors (NETs)deep learningearly breast carcinomaexplainable artificial intelligence (AI)histopathologypattern recognitionwhole slide image (WSI)

Identifiers

PMID37109630
PMCPMC10141693

What OpenQuestion holds

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Registered trials

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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.