Trial reportAJR. American journal of roentgenology2020
Assessment of Response to Neoadjuvant Therapy Using CT Texture Analysis in Patients With Resectable and Borderline Resectable Pancreatic Ductal Adenocarcinoma.
Abstract readRandomized Controlled Trial
In one paragraph
Trial report in AJR. American journal of roentgenology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.
0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
–field-weighted citation impact
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
24 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pancreas image mining: a systematic review of radiomics.European radiology · 2021Pooled it
- A nomogram based on CT texture features to predict the response of patients with advanced pancreatic cancer treated with chemotherapy.BMC gastroenterology · 2023Trial
- Impact of image reconstruction algorithms on histogram analysis of iodine concentration for assessing chemotherapy response in pancreatic ductal adenocarcinoma.Abdominal radiology (New York) · 2026Article
- Development of a radiomics-3D deep learning fusion model for prognostic prediction in pancreatic cancer.BMC cancer · 2025Article
- Radiomics analysis using machine learning to predict perineural invasion in pancreatic cancer.BMC cancer · 2025Article
- AI-Driven insights in pancreatic cancer imaging: from pre-diagnostic detection to prognostication.Abdominal radiology (New York) · 2025Review
- Article
- CT Imaging Assessment of Pancreatic Adenocarcinoma Resectability after Neoadjuvant Therapy: Current Status and Perspective on the Use of Radiomics.Journal of clinical medicine · 2023Review
- Developments and challenges in neoadjuvant therapy for locally advanced pancreatic cancer.World journal of gastroenterology · 2023Review
- Radiological parameters to predict pancreatic texture: Current evidence and future perspectives.World journal of radiology · 2023Review
- Texture Analysis Identifies Distinct Radiomic Signals Associated with Survival in Hispanic Patients with Pancreatic Cancer.Annals of surgical oncology · 2023Article
- Comprehensive multimodal management of borderline resectable pancreatic cancer: Current status and progress.World journal of gastrointestinal surgery · 2023Review
- The value of enhanced CT features and texture-signatures in assessing the inflammatory infiltration of pancreatic ductal adenocarcinoma.Frontiers in oncology · 2023Article
- Liver metastases in pancreatic ductal adenocarcinoma: a predictive model based on CT texture analysis.La Radiologia medica · 2022Article
- Update on quantitative radiomics of pancreatic tumors.Abdominal radiology (New York) · 2022Review
- Review
- Computed tomography-based radiomic to predict resectability in locally advanced pancreatic cancer treated with chemotherapy and radiotherapy.World journal of gastrointestinal oncology · 2022Article
- Identifying Outcomes of Patients With Advanced Pancreatic Adenocarcinoma and RECIST Stable Disease Using Radiomics Analysis.JCO precision oncology · 2022Article
- Baseline CT-based Radiomic Features Aid Prediction of Nodal Positivity after Neoadjuvant Therapy in Pancreatic Cancer.Radiology. Imaging cancer · 2022Article
- Deep learning image reconstruction algorithm for pancreatic protocol dual-energy computed tomography: image quality and quantification of iodine concentration.European radiology · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Amir A BorhaniDepartment of Radiology, Division of Abdominal Imaging, University of Pittsburgh Medical Center, Ste 200 E Wing, 200 Lothrop St, Pittsburgh, PA 15213.
Rohit DewanDepartment of Radiology, Division of Abdominal Imaging, University of Pittsburgh Medical Center, Ste 200 E Wing, 200 Lothrop St, Pittsburgh, PA 15213.
Alessandro FurlanDepartment of Radiology, Division of Abdominal Imaging, University of Pittsburgh Medical Center, Ste 200 E Wing, 200 Lothrop St, Pittsburgh, PA 15213.
Natalie SeiserDepartment of Surgery, Division of Gastrointestinal Surgical Oncology, University of Pittsburgh School of Medicine, Pittsburgh, PA.
Amer H ZureikatDepartment of Surgery, Division of Gastrointestinal Surgical Oncology, University of Pittsburgh School of Medicine, Pittsburgh, PA.
Aatur D SinghiDepartment of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, PA.
Brian BooneDepartment of Surgery, Division of Gastrointestinal Surgical Oncology, University of Pittsburgh School of Medicine, Pittsburgh, PA.
Nathan BaharyDepartment of Medicine, Division of Hematology/Oncology, University of Pittsburgh School of Medicine, Pittsburgh, PA.
Melissa E HoggDepartment of Surgery, Division of Gastrointestinal Surgical Oncology, University of Pittsburgh School of Medicine, Pittsburgh, PA.
Michael LotzeDepartment of Surgery, University of Pittsburgh School of Medicine, Pittsburgh, PA.
Herbert J ZehDepartment of Surgery, Division of Gastrointestinal Surgical Oncology, University of Pittsburgh School of Medicine, Pittsburgh, PA.
Mitchell E TublinDepartment of Radiology, Division of Abdominal Imaging, University of Pittsburgh Medical Center, Ste 200 E Wing, 200 Lothrop St, Pittsburgh, PA 15213.
Funding
University of Pittsburgh Clinical and Translational Science InstituteUL1TR001857 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E · 2016 to 2025
$129.3MWest Virginia IDEA-CTRU54GM104942 · NIGMS · WEST VIRGINIA UNIVERSITY · PI JUDITH FEINBERG · 2012 to 2026
$81.0MPancreatic Ductal Adenocarcinoma is a disease of constitutive autophagyR01CA181450 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LOTZE, MICHAEL T, ZEH, HERBERT J · 2014 to 2018
$1.6MNCATS NIH HHS UL1 TR001857NCI NIH HHS R01 CA181450NIGMS NIH HHS U54 GM104942
Abstract
PubMed holds no abstract for this paper.
Indexed as
Radiographic Image Interpretation, Computer-AssistedTomography, X-Ray ComputedAdultAgedAged, 80 and overCarcinoma, Pancreatic DuctalContrast MediaDisease-Free SurvivalFemaleHumansIopamidolMaleMiddle AgedNeoadjuvant TherapyNeoplasm GradingPancreatic NeoplasmsContrast MediaIopamidolCTneoadjuvant chemotherapypancreatic adenocarcinomapancreatic cancertexture analysis
Identifiers
What OpenQuestion holds
Textmetadata
LicenceTDM
Read underepoch 390
Registered trials
None linked
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.