Abstract library

8 results for "Callahan".
#897 A Molecular Multi-Transcript Gene Blood Signature Significantly Outperforms Chromogranin A (CgA) in the Detection of Gut Neuroendocrine Tumors (NETs)
Introduction: A key issue in NET management is the need for a specific and sensitive biomarker to detect disease and assess treatment. CgA is widely utilized but has limitations.
Conference: 11th Annual ENETS Conference (2014)
Category: Biomarkers
Presenting Author: Professor Irvin M Modlin
Authors: Modlin I M, Kidd M, Drozdov I, Alaimo D, ...
Keywords: biomarker, CgA, NET, PCR
#913 A PCR-Based Multigene Transcript Analysis Blood Test Outperforms Chromogranin A in the Detection of Gastrointestinal and Pancreatic Neuroendocrine Tumors and is Unaffected by PPI Use or Hypertension
Introduction: A critical requirement in the management of gut NETs is a blood biomarker test that is sensitive, specific and reproducible.
Conference: 11th Annual ENETS Conference (2014)
Category: Biomarkers
Presenting Author: Professor Irvin M Modlin
Keywords: biomarker, CgA, NET, PCR
#1195 Neuroendocrine Gene Transcript Analysis of Blood Identifies Stable or Progressive NET Disease Treated with Somatostatin Analogs.
Introduction: An issue in NET management is defining stable or progressive disease and effective treatment. An alternative to RECIST criteria is a sensitive, reproducible blood biomarker test. Somatostatin analogs (SSA) are a chief therapy but efficacy is subjective and based on symptom control and imaging.
Conference: 12th Annual ENETS Conference (2015)
Category: Biomarkers
Presenting Author: Daniele Alaimo
Keywords: Biomarker, SSA
#1212 Circulating Gene Transcript Analysis of Pancreatic NETs
Introduction: PNETs are aggressive with poor survival. Therapeutic agents are available but efficacy determination is limited by imaging insensitivity and the lack of effective blood biomarkers.
Conference: 12th Annual ENETS Conference (2015)
Category: Biomarkers
Presenting Author: Daniele Alaimo
Authors: Kidd M, Modlin I, Drozdov I, Alaimo D, ...
Keywords: PNET, NETest, PCR
#1228 Measurement of Blood Gene Transcripts Defines PRRT Therapeutic Efficacy
Introduction: PRRT is an effective therapy for NETs since the majority over-express SSRs. Typically, well or moderately differentiated NETs (G1/G2) are treated. Imaging and CgA are used to evaluate response but both RECIST criteria and CgA have limitations.
Conference: 12th Annual ENETS Conference (2015)
Category: Biomarkers
Presenting Author: MD, PhD Lisa Bodei
Authors: Bodei L, Paganelli G, Kidd M, Severi S, ...
#1391 Favourable responses in Patients with Bulky Neuroendocrine Tumours (NET) - A Personalised Approach Using 90Y-DOTA-Octreotate Sequenced with 177Lu-DOTA-Octreotate Induction Peptide Receptor Chemoradionuclide Therapy (PRCRT)
Introduction: Bulky disease from NET is an adverse prognostic factor for response to 177Lu-DOTA-octreotate (LuTate) PRCRT. 90Y-DOTA-octreotate (YTate) has more penetrating particulate emissions.
Conference: 13th Annual ENETS conference (2016)
Category: PRRT-Ablative therapies-Endoscopic treatment
Presenting Author: Dr Grace Kong
Keywords: PRRT, Y-90
#1784 Peptide Receptor Radionuclide Therapy (PRRT) for Treatment of Functional and Metastatic Phaeochromocytoma (PCC) and Paraganglioma (PGL)
Introduction: Treatment options for metastatic PCC/PGL and related hypertension (HTN) are limited. Experiences in PRRT suggest favourable disease control, but lack of data on HTN response.
Conference: 14th Annual ENETS conference (2017)
Category: PRRT-Ablative therapies- Endoscopic treatment, surgical treatment
Presenting Author: Dr Grace Kong
Keywords: PRRT
#2842 Transformation to High Grade 3 (G3) Neuroendocrine Neoplasia (NEN) – Molecular Imaging, Pathologic Features and Patient Outcomes
Introduction: Transformation of lower grade to Grade 3 (G3) NEN potentially impacts prognosis & treatment options.
Conference: 17th Annual ENETS Conference (2020)
Category: Nuclear Medicine - Imaging and Therapy (PRRT)
Presenting Author: Dr Grace Kong
Authors: Kong G, Callahan J, Prall O, Michael M, ...
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