The significance of deep learning model based on CT images in the diagnosis of PTC with lateral neck lymph nodes metastasis: a prospective study.

Status

Active, not recruiting

Phases

Early Phase 1

Study type

Observational

Source

ChiCTR

Registry ID

ChiCTR2100041645

Enrollment

Unknown

Registered

2021-01-01

Start date

2021-02-01

Completion date

Unknown

Last updated

2023-05-29

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Papillary thyroid cancer

Interventions

Gold Standard:Lymph node metastasis: FNAB indicated that metastasis or wash-out TG level was significantly higher than its serum level, which was finally redetermined by postoperative pathology. Benig

Index test:The diagnosis of suspected lateral neck lymph node metastasis by CT imaging based deep learning model.

Eligibility

Sex/Gender

All

Age

10 Years to 80 Years

Inclusion criteria

Inclusion criteria: 1.Patients with papillary thyroid cancer; 2.Preoperative enhanced CT indicated lateral neck lymph nodes with suspicious signs of metastasis, or preoperative ultrasound lateral neck lymph nodes with suspicious signs of metastasis and could be located on enhanced CT; 3.The suspected lymph nodes were examined by fine needle aspiration biopsy and wash-out thyroglobulin (Tg) test.

Exclusion criteria

Exclusion criteria: 1.Other types of thyroid cancer; 2.Lateral neck lymph nodes were clinically positive and FNAB is not needed.

Design outcomes

Primary

Measure	Time frame
The diagnosis of lateral neck lymph nodes;SEN, SPE, ACC, AUC of ROC;	—

Countries

China

Contacts

Public ContactSong Xicheng

The Affiliated Yantai Yuhuangding Hospital of Qingdao University

songxicheng@126.com+86 18605350607

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026