Evidence map›Paper›PMID 27446494›Full record

ArticleTheranostics2016

Holographic Assessment of Lymphoma Tissue (HALT) for Global Oncology Field Applications.

Divya Pathania, Hyungsoon Im, Aoife Kilcoyne, Aliyah R Sohani, Lioubov Fexon, Misha Pivovarov, Jeremy S Abramson, Thomas C Randall, Bruce A Chabner, Ralph Weissleder and 2 more

Abstract read
In one paragraph

Article in Theranostics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
  2. Review
  3. Multiplexed imaging in oncology.Nature biomedical engineering · 2022
    Review
  4. Computational Optics for Point-of-Care Breast Cancer Profiling.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Holography applications toward medical field: An overview.The Indian journal of radiology & imaging
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Divya Pathania1. Center for Systems Biology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114;; 2. Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114;
Hyungsoon Im1. Center for Systems Biology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114;; 2. Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114;
Aoife Kilcoyne1. Center for Systems Biology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114;; 2. Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114;
Aliyah R Sohani3. Department of Pathology, Massachusetts General Hospital, Boston, MA, 02114;
Lioubov Fexon1. Center for Systems Biology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114;
Misha Pivovarov1. Center for Systems Biology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114;; 2. Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114;
Jeremy S Abramson4. Center for Lymphoma, Massachusetts General Hospital, Boston, MA, 02114;; 5. Massachusetts General Hospital Cancer Center, Boston, MA 02114;; 6. Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114;
Thomas C Randall5. Massachusetts General Hospital Cancer Center, Boston, MA 02114;; 7. Global Oncology Initiative, Dana-Farber / Harvard Cancer Center, Boston, MA, 02115;; 8. Department of Obstetrics, Gynecology and Reproductive Biology, Massachusetts General Hospital, Boston, MA 02114;
Bruce A Chabner5. Massachusetts General Hospital Cancer Center, Boston, MA 02114;; 6. Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114;
Ralph Weissleder1. Center for Systems Biology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114;; 2. Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114;; 9. Department of Systems Biology, Harvard Medical School, Boston, MA 02115.
Hakho Lee1. Center for Systems Biology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114;; 2. Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114;
Cesar M Castro1. Center for Systems Biology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114;; 5. Massachusetts General Hospital Cancer Center, Boston, MA 02114;; 6. Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114;

Funding

Dana Farber/Harvard Cancer Consortium Career Development Program in Clinical OncologyK12CA087723 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI David Tsai Ting · 2002 to 2026
$17.9M
Training Grant in Molecular Imaging Research (MGH/HMS)T32CA079443 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI WEISSLEDER, MD, PHD, RALPH · 2000 to 2025
$10.1M
Novel Clickdyes for Biomedical SensingR01EB010011 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI WEISSLEDER, MD, PHD, RALPH · 2010 to 2017
$3.1M
MAGNETIC NANOSENSORS FOR BIOMEDICAL ANALYSES OF MICROVESICLESR01HL113156 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI LEE, HAKHO · 2012 to 2016
$2.1M
Smartphone for molecular cancer diagnostic in AfricaUH2CA202637 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI CHABNER, BRUCE ALLAN, WEISSLEDER, MD, PHD, RALPH · 2016 to 2017
$983k
Novel nano-plasmonic technology for quantitative analysis of cancer exosomesK99CA201248 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI IM, HYUNGSOON · 2015 to 2016
$329k
NCI NIH HHS K12 CA087723NCI NIH HHS K99 CA201248NCI NIH HHS T32 CA079443NCI NIH HHS UH2 CA202637NHLBI NIH HHS R01 HL113156NIBIB NIH HHS R01 EB010011
6 · The paper itself

Abstract

Low-cost, rapid and accurate detection technologies are key requisites to cope with the growing global cancer challenges. The need is particularly pronounced in resource-limited settings where treatment opportunities are often missed due to the absence of timely diagnoses. We herein describe a Holographic Assessment of Lymphoma Tissue (HALT) system that adopts a smartphone as the basis for molecular cancer diagnostics. The system detects malignant lymphoma cells labeled with marker-specific microbeads that produce unique holographic signatures. Importantly, we optimized HALT to detect lymphomas in fine-needle aspirates from superficial lymph nodes, procedures that align with the minimally invasive biopsy needs of resource-constrained regions. We equipped the platform to directly address the practical needs of employing novel technologies for "real world" use. The HALT assay generated readouts in <1.5 h and demonstrated good agreement with standard cytology and surgical pathology.

Indexed as

SmartphoneBiopsy, Fine-NeedleHolographyLymph NodesLymphomaMicrospheresMolecular Diagnostic TechniquesOptical ImagingStaining and LabelingTime FactorsCancer diagnosticsglobal oncology.Point-of-care diagnosticsSmartphone testing

Identifiers

PMID27446494
PMCPMC4955059

What OpenQuestion holds

Textmetadata
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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.