Diagnostic image legend quality in the oral and maxillofacial radiology published literature: a pilot study

被引：0

作者：

Mupparapu, Mel ^{[1
]}

Ahuzaini, Anwar A. ^{[2
]}

Hong, Derek J. ^{[1
]}

Hong, Brad M. ^{[1
]}

Singer, Steven R. ^{[3
]}

Kim, Irene H. ^{[1
]}

机构：

[1] Univ Penn, Sch Dent Med, Dept Oral Med, Div Radiol, Philadelphia, PA 19104 USA

[2] Minist Hlth, Kuwait, Kuwait

[3] Rutgers Sch Dent Med, Dept Diagnost Sci, Newark, NJ USA

来源：

QUINTESSENCE INTERNATIONAL | 2025年 / 56卷 / 02期

关键词：

cone-beam computed tomography; dentistry; publications; radiography; radiology; ULTRASOUND; HEAD;

D O I：

10.3290/j.qi.b5907061

中图分类号：

R78 [口腔科学];

学科分类号：

1003 ;

摘要：

Objectives: This pilot study aimed to evaluate the quality of legends associated with diagnostic images in the published oral and maxillofacial radiology literature using a novel rating scale. Method and materials: Images and their corresponding legends were randomly selected from published manuscripts over the last 10 years in the Oral Radiology journals, namely Oral Radiology, and Oral Surgery Oral Medicine Oral Pathology Oral Radiology. An Image Legend Quality Scale (ILQS) was introduced to assess the quality of the legends associated with images. A program was developed for the rating scale form using Google Apps Script API to gather and analyze the data. The rating scale ranged from 1 to 5, with 5 as the highest rating. Results: The highest average ILQS rating for one journal was 3.04. The overall ILQS rating average across all four journals was 2.87, which is a 2.13 rating score lower than the ideal score of 5. Conclusions: There is room for improvement in the legends that accompany diagnostic images and figures in the oral and maxillofacial radiology literature. A proper legend provides an excellent diagnostic teaching opportunity for the reader and enhances the quality of a publication.

引用

页码：144 / 152

页数：9

共 36 条

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