Rapid diagnosis and tumor margin assessment during pancreatic cancer surgery with the MasSpec Pen technology.

医学 边距(机器学习) 转移 胰腺肿瘤 手术切缘 胰腺 放射科 胰腺切除术
作者
Mary E. King,Jialing Zhang,John Q. Lin,Kyana Y. Garza,Rachel J. DeHoog,Clara L. Feider,Alena Bensussan,Marta Sans,Anna Krieger,Sunil Badal,Michael F Keating,Spencer Woody,Sadhna Dhingra,Wendong Yu,Christopher Pirko,Kirtan A. Brahmbhatt,George Van Buren,William E. Fisher,James W. Suliburk,Livia S. Eberlin
出处
期刊:Proceedings of the National Academy of Sciences of the United States of America [National Academy of Sciences]
卷期号:118 (28) 被引量:3
标识
DOI:10.1073/pnas.2104411118
摘要

Intraoperative delineation of tumor margins is critical for effective pancreatic cancer surgery. Yet, intraoperative frozen section analysis of tumor margins is a time-consuming and often challenging procedure that can yield confounding results due to histologic heterogeneity and tissue-processing artifacts. We have previously described the development of the MasSpec Pen technology as a handheld mass spectrometry-based device for nondestructive tissue analysis. Here, we evaluated the usefulness of the MasSpec Pen for intraoperative diagnosis of pancreatic ductal adenocarcinoma based on alterations in the metabolite and lipid profiles in in vivo and ex vivo tissues. We used the MasSpec Pen to analyze 157 banked human tissues, including pancreatic ductal adenocarcinoma, pancreatic, and bile duct tissues. Classification models generated from the molecular data yielded an overall agreement with pathology of 91.5%, sensitivity of 95.5%, and specificity of 89.7% for discriminating normal pancreas from cancer. We built a second classifier to distinguish bile duct from pancreatic cancer, achieving an overall accuracy of 95%, sensitivity of 92%, and specificity of 100%. We then translated the MasSpec Pen to the operative room and predicted on in vivo and ex vivo data acquired during 18 pancreatic surgeries, achieving 93.8% overall agreement with final postoperative pathology reports. Notably, when integrating banked tissue data with intraoperative data, an improved agreement of 100% was achieved. The result obtained demonstrate that the MasSpec Pen provides high predictive performance for tissue diagnosis and compatibility for intraoperative use, suggesting that the technology may be useful to guide surgical decision-making during pancreatic cancer surgeries.

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
和谐完成签到 ,获得积分10
1秒前
XJ完成签到,获得积分10
3秒前
4秒前
田様应助LX采纳,获得10
5秒前
迷路的忆之完成签到,获得积分10
8秒前
huahua完成签到 ,获得积分10
13秒前
13秒前
朴素的松完成签到,获得积分10
15秒前
Rainlistener完成签到,获得积分10
16秒前
123完成签到,获得积分10
17秒前
17秒前
17秒前
阳光海云完成签到,获得积分10
18秒前
DNE发布了新的文献求助30
18秒前
yueh发布了新的文献求助10
20秒前
hhy发布了新的文献求助10
20秒前
LX发布了新的文献求助10
20秒前
脸小呆呆发布了新的文献求助10
21秒前
urologywang发布了新的文献求助10
21秒前
Anoxra完成签到 ,获得积分10
22秒前
arniu2008发布了新的文献求助10
23秒前
JOY完成签到 ,获得积分10
24秒前
洁净艳一完成签到,获得积分10
26秒前
Yingqilin完成签到,获得积分10
27秒前
29秒前
一一完成签到 ,获得积分10
29秒前
追寻的纸鹤完成签到 ,获得积分10
30秒前
32秒前
DNE完成签到,获得积分10
32秒前
maun222完成签到,获得积分10
33秒前
呆一起完成签到 ,获得积分10
33秒前
体贴凌寒完成签到,获得积分10
33秒前
小黑猫跑酷完成签到 ,获得积分10
33秒前
lyncee完成签到,获得积分10
34秒前
巴巴塔完成签到,获得积分10
34秒前
雪12229发布了新的文献求助10
34秒前
大方百招完成签到,获得积分10
34秒前
spz发布了新的文献求助10
34秒前
Qiancheng完成签到,获得积分10
35秒前
hhy完成签到,获得积分10
35秒前
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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Various Faces of Animal Metaphor in English and Polish 800
Signals, Systems, and Signal Processing 610
Photodetectors: From Ultraviolet to Infrared 500
On the Dragon Seas, a sailor's adventures in the far east 500
Yangtze Reminiscences. Some Notes And Recollections Of Service With The China Navigation Company Ltd., 1925-1939 500
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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6348495
求助须知:如何正确求助?哪些是违规求助? 8163481
关于积分的说明 17173853
捐赠科研通 5404922
什么是DOI,文献DOI怎么找? 2861804
邀请新用户注册赠送积分活动 1839623
关于科研通互助平台的介绍 1688936