Construction of a spleen volume database by three-dimensional measurement using CT images: Search for factors defining normal spleen volume and redefinition of splenomegaly.

Construction of a spleen volume database by three-dimensional measurement using CT images: Search for factors defining normal spleen volume and redefinition of splenomegaly. - Construction of a spleen volume database by three-dimensional measurement using CT images: Search for factors defining normal spleen volume and redefinition of splenomegaly.

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-UMIN000047855

Enrollment

3000

Registered

2025-04-01

Start date

2022-07-01

Completion date

Unknown

Last updated

2026-06-29

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

Conditions

Patients who underwent CT including abdomen at Iwate Medical University from April 1, 2011 to April 1, 2022

Interventions

None listed

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: Patients who have undergone CT scan including abdomen at Iwate Medical University from April 1, 2011 to April 1, 2022 and meet the following conditions. Age is 20 years or older. Gender is not limited. No limitation of contrast media use.

Exclusion criteria

Exclusion criteria: Examination for patients who are unconscious or in urgent and life-threatening situations Cases with a history of contrast media side effects Cases of suspected pregnancy Patients with a history of the following Underlying disease causing splenomegaly (hypersplenism, hypersplenism, congenital heart disease, liver cirrhosis, idiopathic portal hypertension, EB virus infection, acute leukemia, chronic myelogenous leukemia, chronic lymphocytic leukemia, true polycythemia vera, essential thrombocythemia, myelofibrosis, hemolytic anemia, pernicious anemia, thalassemia, sarcoidosis, SLE, Felty syndrome, etc.) syndrome, amyloidosis, etc.) Translated with www.DeepL.com/Translator (free version)

Design outcomes

Primary

Measure	Time frame
To clarify the normal distribution of spleen volume in a healthy adult population, we will accumulate spleen volume data using automated organ segmentation technology for a set patient population and examine factors that determine patient-specific spleen volume based on age, sex, height, weight, and body surface area.	—

Countries

Japan

Contacts

Public ContactAKIO TAMURA

Iwate Medical University Department of Radiology

a.akahane@gmail.com0196515111

Outcome results