Histopathological Osteomyelitis Evaluation Score (HOES): Pioneering precision for diagnosing jaw osteomyelitis

HOES serves as a systematic and precise method for classification and differentiation of different stages of osteomyelitis which aids in the stratification of patients for their treatment needs, preventing and halting the progression of disease at an early stage.

Authors

Institutions

Publication Details

Journal
Journal of Oral and Maxillofacial Pathology
Published
2025-01-01
DOI
https://doi.org/10.4103/jomfp.jomfp_160_24
Primary Topic
Orthopedic Infections and Treatments
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Histopathological Osteomyelitis Evaluation Score (HOES): Pioneering precision for diagnosing jaw osteomyelitis

P. Jayasankar, Sanjay Yadav, Sajid Ali, Sima Odedra et al.
Journal of Oral and Maxillofacial Pathology
Orthopedic Infections and Treatments
article

Histopathological Osteomyelitis Evaluation Score (HOES): Pioneering precision for diagnosing jaw osteomyelitis

P. Jayasankar, Sanjay Yadav, Sajid Ali, Sima Odedra, Piyush Asnani, Namrata Jayasheel
article en

Abstract

HOES serves as a systematic and precise method for classification and differentiation of different stages of osteomyelitis which aids in the stratification of patients for their treatment needs, preventing and halting the progression of disease at an early stage.

Journal of Oral and Maxillofacial PathologyVol. 29(1)
Government Dental College and Hospital (IN)
Openalex Percentile: Top 89%
Orthopedic Infections and Treatments
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.