Validation of the International Medullary Thyroid Carcinoma Grading System in a Multicenter Cohort: Digital Image Analysis-Based Evaluation of Ki-67 Cutoffs and Assessment Methods

Abstract Although the International Medullary Thyroid Carcinoma Grading System (IMTCGS) was proposed to standardize the histologic grading of medullary thyroid carcinoma (MTC), the validity of its 5% Ki-67 index cutoff and the optimal assessment method remain to be fully established. This multicenter study aimed to validate the Ki-67 index component of the IMTCGS in a Korean cohort using digital image analysis (DIA) and to determine the most clinically relevant evaluation method. We retrospectively analyzed 187 surgically resected MTC cases across 16 institutions. Ki-67 indices were evaluated via DIA using two approaches: the hotspot method (highest proliferative area) and the average method (across three representative regions). Prognostic values of various Ki-67 cutoffs (5%, 3%, and ROC curve-derived thresholds) were evaluated independently and within the IMTCGS framework. IMTCGS high-grade status incorporating the 5% hotspot Ki-67 index emerged as an independent prognostic factor for recurrence-free survival (RFS), along with male sex, elevated postoperative serum calcitonin levels, and pN1b status. IMTCGS grading using the 5% average Ki-67 index failed to retain independent significance. While the composite high-grade IMTCGS classification remained an independent predictor of RFS in multivariate analysis, none of its constituent components (tumor necrosis, mitotic count, or Ki-67 index) retained independent prognostic significance when evaluated separately. This multicenter study validates the prognostic utility of the IMTCGS in Korean MTC patients. DIA-based hotspot Ki-67 assessment provides superior prognostic stratification compared to the average method, supporting its preference for routine clinical IMTCGS implementation.

Authors

Institutions

Publication Details

Journal
Endocrine Pathology
Published
2026-11-11
DOI
https://doi.org/10.1007/s12022-026-09940-0
Primary Topic
Thyroid Cancer Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
article

Validation of the International Medullary Thyroid Carcinoma Grading System in a Multicenter Cohort: Digital Image Analysis-Based Evaluation of Ki-67 Cutoffs and Assessment Methods

Hee Young Na, Chan Kwon Jung, Lucia Kim, Ji-Young Park et al.
Endocrine Pathology
Thyroid Cancer Diagnosis and Treatment
article

Validation of the International Medullary Thyroid Carcinoma Grading System in a Multicenter Cohort: Digital Image Analysis-Based Evaluation of Ki-67 Cutoffs and Assessment Methods

Hee Young Na, Chan Kwon Jung, Lucia Kim, Ji-Young Park, So Yeon Park, Hee Jung Kwon, In Ho Choi, Jee Yeon Kim, Ju Yeon Pyo, Jang-Hee Kim, Jae Kyung Won, Milim Kim, Hyeongchan Shin, Soo Jin Jung, Yeseul Kim, Su-Jin Shin, Jin-Man Kim
article en

Abstract

Abstract Although the International Medullary Thyroid Carcinoma Grading System (IMTCGS) was proposed to standardize the histologic grading of medullary thyroid carcinoma (MTC), the validity of its 5% Ki-67 index cutoff and the optimal assessment method remain to be fully established. This multicenter study aimed to validate the Ki-67 index component of the IMTCGS in a Korean cohort using digital image analysis (DIA) and to determine the most clinically relevant evaluation method. We retrospectively analyzed 187 surgically resected MTC cases across 16 institutions. Ki-67 indices were evaluated via DIA using two approaches: the hotspot method (highest proliferative area) and the average method (across three representative regions). Prognostic values of various Ki-67 cutoffs (5%, 3%, and ROC curve-derived thresholds) were evaluated independently and within the IMTCGS framework. IMTCGS high-grade status incorporating the 5% hotspot Ki-67 index emerged as an independent prognostic factor for recurrence-free survival (RFS), along with male sex, elevated postoperative serum calcitonin levels, and pN1b status. IMTCGS grading using the 5% average Ki-67 index failed to retain independent significance. While the composite high-grade IMTCGS classification remained an independent predictor of RFS in multivariate analysis, none of its constituent components (tumor necrosis, mitotic count, or Ki-67 index) retained independent prognostic significance when evaluated separately. This multicenter study validates the prognostic utility of the IMTCGS in Korean MTC patients. DIA-based hotspot Ki-67 assessment provides superior prognostic stratification compared to the average method, supporting its preference for routine clinical IMTCGS implementation.

Endocrine PathologyVol. 37(1)
Seoul National University (KR), Inha University (KR), Yonsei University (KR), Soonchunhyang University (KR), Severance Hospital (KR), Soonchunhyang University Hospital Seoul (KR), Seoul National University Hospital (KR), Seoul National University Bundang Hospital (KR), Kyungpook National University Medical Center (KR), Inje University Busan Paik Hospital (KR), Chungnam National University Hospital (KR), Gangnam Severance Hospital (KR), Pusan National University Yangsan Hospital (KR), Catholic Kwandong University International St. Mary's Hospital (KR), Inha University Hospital (KR), The Catholic University of Korea Seoul St. Mary's Hospital (KR), Yeungnam University College (KR), Korea University Anam Hospital (KR), Keimyung University Dongsan Hospital (KR), Yeungnam University (KR), Ajou University (KR)
Thyroid Cancer Diagnosis and Treatment
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.

Laika access coming soon