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“Journal of Ultrasonography” in Scopus!


We are pleased to announce that Scopus Content Selection and Advisory Board decided to include “Journal of Ultrasonography” in their database – the largest abstract and citation service of peer-reviewed literature covering scientific journals, books and conference proceedings.
That means that our articles are available to even greater number of readers.
I cordially invite you to publish in the “Journal of Ultrasonography” and kindly ask to quote our articles to support us in our efforts to get IF for J Ultrason.



Iwona Sudoł-Szopińska

Explaining a deep learning based breast ultrasound image classifier with saliency maps

Deep neural networks have achieved good performance in breast mass classification in ultrasound imaging. However, their usage in clinical practice is still limited due to the lack of explainability of decisions conducted by the networks. In this study, to address the explainability problem, we generated saliency maps indicating ultrasound image regions important for the network’s classification decisions. 

Michał Byra, Katarzyna Dobruch-Sobczak, Hanna Piotrzkowska-Wróblewska, Ziemowit Klimonda, Jerzy Litniewski
J Ultrason 2022; 22: e70–e75
Ultrasound-guided biopsy of musculoskeletal soft-tissue tumors: basic principles, usefulness and limitations

The aim of this article is to provide a short review of the literature concerning the basic principles, usefulness and limitations of ultrasound-guided biopsy of musculoskeletal softtissue tumors, with particular focus on core needle biopsies. 

Violeta Vasilevska Nikodinovska, Slavcho Ivanoski, Slavica Kostadinova-Kunovska, Milan Samardziski
J Ultrason 2022; 22: e109–e116
Summary of meta-analyses of studies involving TIRADS classifications (EU-TIRADS, ACR-TIRADS, and K-TIRADS) in evaluating the malignant potential of focal lesions of the thyroid gland

In this publication, the three most popular TIRADS classifications, European – EU-TIRADS, Korean – K-TIRADS, and developed by the American Society of Radiology – ACR-TIRADS, are presented and discussed based on a literature review. The results of available head-to-head statistical analyses comparing the classifications are also presented. 

Katarzyna Dobruch-Sobczak, Zbigniew Adamczewski, Marek Dedecjus, Andrzej Lewiński, Bartosz Migda, Marek Ruchała, Anna Skowrońska-Szcześniak, Ewelina Szczepanek-Parulska, Klaudia Zajkowska, Agnieszka Żyłka
J Ultrason 2022; 22: e121–e129