A novel classification system for patients with PTC: addition of the new variables of large (3 cm or greater) nodal metastases and reclassification during the follow-up …

I Sugitani, N Kasai, Y Fujimoto, A Yanagisawa - Surgery, 2004 - Elsevier
BACKGROUND: Several factors have been proven to be useful for classifying patients with
papillary thyroid carcinoma (PTC) into either low-or high-risk groups. However, the relative …

A novel classification system for patients with PTC: addition of the new variables of large (3 cm or greater) nodal metastases and reclassification during the follow-up …

I Sugitani, N Kasai, Y Fujimoto, A Yanagisawa - Surgery, 2004 - surgjournal.com
Background Several factors have been proven to be useful for classifying patients with
papillary thyroid carcinoma (PTC) into either low-or high-risk groups. However, the relative …

[引用][C] A novel classification system for patients with PTC: Addition of the new variables of large (3 cm or greater) nodal metastases and reclassification during the …

I SUGITANI, N KASAI, Y FUJIMOTO… - Surgery, 2004 - pascal-francis.inist.fr
A novel classification system for patients with PTC: Addition of the new variables of large (3 cm
or greater) nodal metastases and reclassification during the follow-up period CNRS Inist …

[引用][C] A novel classification system for patients with PTC: addition of the new variables of large (3 cm or greater) nodal metastases and reclassification during the …

I SUGITANI - Surgery, 2004 - cir.nii.ac.jp
A novel classification system for patients with PTC : addition of the new variables of large (3 cm
or greater) nodal metastases and reclassification during the follow-up period | CiNii Research …

[引用][C] A novel classification system for patients with PTC: addition of the new variables of large (3 cm or greater) nodal metastases and reclassification during the …

I Sugitani, N Kasai, Y Fujimoto, A Yanagisawa - Surgery, 2004 - infona.pl
A novel classification system for patients with PTC: addition of the new variables of large (3 cm
or greater) nodal metastases and reclassification during the follow-up period × Close The …

A novel classification system for patients with PTC: addition of the new variables of large (3 cm or greater) nodal metastases and reclassification during the follow-up …

I Sugitani, N Kasai, Y Fujimoto, A Yanagisawa - Surgery, 2004 - europepmc.org
Background Several factors have been proven to be useful for classifying patients with
papillary thyroid carcinoma (PTC) into either low-or high-risk groups. However, the relative …

A novel classification system for patients with PTC: addition of the new variables of large (3 cm or greater) nodal metastases and reclassification during the follow-up …

I Sugitani, N Kasai, Y Fujimoto, A Yanagisawa - Surgery, 2004 - pubmed.ncbi.nlm.nih.gov
Background Several factors have been proven to be useful for classifying patients with
papillary thyroid carcinoma (PTC) into either low-or high-risk groups. However, the relative …

[引用][C] A novel classification system for patients with PTC: addition of the new variables of large (3 cm or greater) nodal metastases and reclassification during the …

I Sugitani, N Kasai, Y Fujimoto, A Yanagisawa - Surgery, 2004 - infona.pl
A novel classification system for patients with PTC: addition of the new variables of large (3 cm
or greater) nodal metastases and reclassification during the follow-up period × Close The …

[引用][C] A novel classification system for patients with PTC: addition of the new variables of large (3 cm or greater) nodal metastases and reclassification during the …

I SUGITANI - Surgery, 2004 - cir.nii.ac.jp
A novel classification system for patients with PTC : addition of the new variables of large (3 cm
or greater) nodal metastases and reclassification during the follow-up period | CiNii Research …

[引用][C] A novel classification system for patients with PTC: Addition of the new variables of large (3 cm or greater) nodal metastases and reclassification during the …

I SUGITANI, N KASAI, Y FUJIMOTO, A YANAGISAWA - Surgery, 2004 - Elsevier