亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Quantitative and qualitative assessment of a pituitary neuroendocrine tumor’s T2-signal intensity in acromegaly – a call for unification

医学 肢端肥大症 垂体腺瘤 置信区间 白质 优势比 内科学 核医学 磁共振成像 病理 放射科 腺瘤 胃肠病学 内分泌学 激素 生长激素
作者
Magdalena Godlewska-Nowak,Aneta Grochowska,Grzegorz Zieliński,Anna Bogusławska,Dariusz Adamek,Maria Maksymowicz,Alicja Hubalewska‐Dydejczyk,Aleksandra Gilis‐Januszewska
出处
期刊:Frontiers in Endocrinology [Frontiers Media]
卷期号:15
标识
DOI:10.3389/fendo.2024.1441745
摘要

Introduction The T2-signal intensity (SI) of somatotroph pituitary neuroendocrine tumors (sPitNET) is associated with treatment response and granulation pattern. Our aim was to evaluate SI assessment methods and their clinical implications, including responsiveness to preoperative first-generation somatostatin analogs (SSA). Methods This single-center, observational study included unselected, consecutive patients with newly diagnosed acromegaly. Out of 109 treatment-naïve patients, 69 were eligible. The qualitative Visual Method involved a visual comparison of the sPitNET with the temporal gray matter. The Three Tissue Method compared the quantified SI of the sPitNET, temporal white matter, and gray matter. The signal intensity ratio of the sPitNET vs. gray matter (GM-SIR) was calculated. Tumors were divided into three groups: hyperintense (HYPER), isointense (ISO), and hypointense (HYPO) according to the Visual Method, Three Tissue Method, and GM-SIR. These groups were compared in terms of demographic, radiological, and biochemical features. The SI assessment methods were investigated for their ability to predict preoperative SSA responsiveness. Results SI assessment methods classified SI type correspondingly in 58-75.4% of cases. ISO constituted 39-49% of the analyzed sPitNETs. All methods identified significant differences in tumor volume between the SI groups, with HYPO being more biochemically active per tumor volume unit. According to the Three Tissue Method, patients with ISO had the youngest age at diagnosis and onset. According to the Visual Method, ISO had a lower chance of achieving insulin-like growth factor 1 (IGF1) normalization compared to HYPO (odds ratio (OR) 0.089, confidence interval (CI) 0.015-0.538, p= 0.008)), with no differences between HYPER and HYPO. Only the Visual Method predicted the IGF1 normalization after SSA. HYPER and ISO sPitNETs were classified in electron microscopy as both densely and sparsely granulated. Bihormonal tumors presented only as HYPO and ISO. According to the Three Tissue Method, no HYPO was diagnosed with sparse granulation. Discussion We demonstrated discrepancies between the SI assessment methods. The Visual Method predicted the outcome of preoperative treatment with SSA. Clinically, ISO behaved similarly to HYPER. Further studies are needed to unify SI assessment and improve its clinical applicability in acromegaly.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
学术蠢驴完成签到 ,获得积分10
6秒前
元元完成签到,获得积分10
9秒前
剑剑完成签到,获得积分10
14秒前
18秒前
夏月虚闲完成签到,获得积分10
22秒前
25秒前
zsh发布了新的文献求助10
30秒前
41秒前
44秒前
林风完成签到,获得积分10
48秒前
48秒前
59秒前
斯文的访烟完成签到,获得积分10
1分钟前
1分钟前
1分钟前
赘婿应助科研通管家采纳,获得10
1分钟前
Kao应助科研通管家采纳,获得30
1分钟前
Lvhao应助科研通管家采纳,获得10
1分钟前
Hillson完成签到,获得积分10
1分钟前
小芒果发布了新的文献求助10
2分钟前
爆米花应助小芒果采纳,获得10
2分钟前
2分钟前
2分钟前
Autumn完成签到 ,获得积分10
2分钟前
fabius0351完成签到 ,获得积分0
3分钟前
3分钟前
思源应助科研通管家采纳,获得10
3分钟前
Kao应助科研通管家采纳,获得10
3分钟前
Kao应助科研通管家采纳,获得150
3分钟前
molihuakai应助科研通管家采纳,获得10
3分钟前
科研通AI6.4应助一种信仰采纳,获得100
3分钟前
DrSong完成签到 ,获得积分10
3分钟前
3分钟前
3分钟前
3分钟前
123发布了新的文献求助10
3分钟前
小嚣张完成签到,获得积分10
3分钟前
123完成签到,获得积分10
3分钟前
4分钟前
一种信仰完成签到,获得积分10
4分钟前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
日本現代怪異事典 副読本 700
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 650
Machine Learning for Asset Management and Pricing 600
Numerical analysis of the coupled atmosphere-ocean models (CAO II). II 600
Models for the coupled atmosphere and ocean 600
Évora na Idade Média 555
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7384028
求助须知:如何正确求助?哪些是违规求助? 8990909
关于积分的说明 19125778
捐赠科研通 7022060
什么是DOI,文献DOI怎么找? 3227375
关于科研通互助平台的介绍 2390384
邀请新用户注册赠送积分活动 2208497