Z-CLAM: Zadake’s Clinical Linear and Angular Measurement Analog for Facial Analysis

Accurate evaluation of facial proportions and soft tissue relationships is fundamental to orthodontic diagnosis and treatment planning. Although cephalometric analysis remains a standard diagnostic aid, it is primarily dependent on radiographic evaluation. With increasing emphasis on soft tissue esthetics and clinical facial analysis, the need for a simple, chairside, and noninvasive method for direct assessment of facial linear and angular parameters continues to exist. A structured clinical approach capable of translating cephalometric concepts into extraoral soft tissue measurements may enhance routine facial analysis, improve diagnostic applicability, and serve as a useful adjunct in orthodontic evaluation. Z-CLAM (Zadakes’s Clinical, Linear and Angular Measurement Analog for Facial Analysis) is a novel chairside clinical diagnostic analog designed for extraoral assessment of facial linear and angular parameters using standardized soft tissue landmarks. The system facilitates clinical evaluation of facial thirds, facial fifths, nasolabial angle, mentolabial angle, and mandibular plane inclination, along with other cephalometric measurements relevant to orthodontic diagnosis. Z-CLAM provides a structured clinical framework for facial analysis with potential comparison to corresponding cephalometric parameters.

Authors

Institutions

Publication Details

Journal
The Journal of Indian Orthodontic Society
Published
2026-08-14
DOI
https://doi.org/10.1177/03015742261472327
Primary Topic
Orthodontics and Dentofacial Orthopedics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Z-CLAM: Zadake’s Clinical Linear and Angular Measurement Analog for Facial Analysis

Pravinkumar Marure, Sujit Navnath Zadake, Yatishkumar Joshi, Suresh Kangane et al.
The Journal of Indian Orthodontic Society
Orthodontics and Dentofacial Orthopedics
article

Z-CLAM: Zadake’s Clinical Linear and Angular Measurement Analog for Facial Analysis

Pravinkumar Marure, Sujit Navnath Zadake, Yatishkumar Joshi, Suresh Kangane, Sumit Honrao, Soundarya Shrivastav
article en

Abstract

Accurate evaluation of facial proportions and soft tissue relationships is fundamental to orthodontic diagnosis and treatment planning. Although cephalometric analysis remains a standard diagnostic aid, it is primarily dependent on radiographic evaluation. With increasing emphasis on soft tissue esthetics and clinical facial analysis, the need for a simple, chairside, and noninvasive method for direct assessment of facial linear and angular parameters continues to exist. A structured clinical approach capable of translating cephalometric concepts into extraoral soft tissue measurements may enhance routine facial analysis, improve diagnostic applicability, and serve as a useful adjunct in orthodontic evaluation. Z-CLAM (Zadakes’s Clinical, Linear and Angular Measurement Analog for Facial Analysis) is a novel chairside clinical diagnostic analog designed for extraoral assessment of facial linear and angular parameters using standardized soft tissue landmarks. The system facilitates clinical evaluation of facial thirds, facial fifths, nasolabial angle, mentolabial angle, and mandibular plane inclination, along with other cephalometric measurements relevant to orthodontic diagnosis. Z-CLAM provides a structured clinical framework for facial analysis with potential comparison to corresponding cephalometric parameters.

The Journal of Indian Orthodontic Society
MNR Dental College and Hospital (IN)
Openalex Percentile: Top 8%
Orthodontics and Dentofacial Orthopedics
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.