Evidence map›Paper›PMID 40034927›Full record

ArticleIranian journal of pathology2024

International Academy of Cytology Yokohama System for Reporting Breast Cytology and the ACR Breast Imaging Reporting and Data System (BIRADS): Are they Concordant?

Alka Yadav, Aparna Singh, Sonali Madaan, Mukta Pujani, Sujata Raychaudhuri, Charu Agarwal, Varsha Chauhan, Dipti Sidam, Jyoti Rajpoot, Garima Dhull and 1 more

Abstract read
In one paragraph

Article in Iranian journal of pathology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

11 authors.

Alka YadavDepartment of Pathology, The Uttar Pradesh University of Medical Sciences, Saifai, Etawah, UP, India.
Aparna SinghDepartment of Pathology, ESIC Medical College & Hospital, Faridabad, India.
Sonali MadaanDepartment of Radiodiagnosis, ESIC Medical College & Hospital, Faridabad, India.
Mukta PujaniDepartment of Pathology, ESIC Medical College & Hospital, Faridabad, India.
Sujata RaychaudhuriDepartment of Pathology, ESIC PGIMSR, Basaidarapur, New Delhi, India.
Charu AgarwalDepartment of Pathology, ESIC Medical College & Hospital, Faridabad, India.
Varsha ChauhanDepartment of Pathology, ESIC Medical College & Hospital, Faridabad, India.
Dipti SidamDepartment of Pathology, ESIC Medical College & Hospital, Faridabad, India.
Jyoti RajpootDepartment of Pathology, ESIC Medical College & Hospital, Faridabad, India.
Garima DhullDepartment of Pathology, ESIC Medical College & Hospital, Faridabad, India.
Cherry BansalDepartment of Pathology, Dr. SS Tantia Medical College, Sriganganagar, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background & Objective: Breast cancer is the leading cause of cancer deaths among women worldwide. Fine needle aspiration cytology (FNAC) and breast sonography have played a pivotal role in the characterization of a breast lump. The main objective of this study was to analyze the correlation between the International Academy of Cytology (IAC) Yokohama for Reporting Breast Fine Needle Aspiration Biopsies (FNAB) and breast imaging reporting and data system (BIRADS) for sonography along with histopathological correlation. Methods: A total of 135 FNAC specimens were categorized according to the IAC Yokohama system and BIRADS reporting system and their correlation with histopathology wherever possible to calculate the risk of malignancy (ROM). Results: According to IAC Yokohama categorization, the cases in categories I, II, III, IV, and V were 1,78,8,6 and 42, respectively. Akin to cytology, most of the cases were assigned BIRADS score two followed by score 6, with the Pearson's correlation coefficient between the IAC Yokohama system for reporting breast cytology and BIRADS scoring system of 1.957 with a P-value < 0.001 (strong correlation). The sensitivity, specificity, PPV, NPV, and DA of FNAC with category III assumed as malignant were 98.9%, 85%, 76.1%, 99.3%, and 89.5%, respectively. Histopathological correlation was available for 90 cases. The ROM for categories II, III, IV, and V was 5.6%,37.5%,100%, and 100%, respectively. Conclusion: IAC Yokohama system of reporting breast cytopathology and BIRADS serves as a common language of communication between pathologists and clinicians and aid in better stratification of the lesions. Both FNAC (minimally invasive) and ultrasound (non-invasive imaging technique) are diagnostic tools that complement each other for patient diagnosis and management.

Indexed as

BIRADSbreast cytologyFNACIAC YokohamaROM

Identifiers

PMID40034927
PMCPMC11872029

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.