Evidence map›Paper›PMID 39606180›Full record

ArticleJournal of the Endocrine Society2024

High Diagnostic Accuracy of Arterial Phase CT in Differentiating Pheochromocytoma in Good/Poor Washout Adrenal Masses.

Aditya Phadte, Brijesh Krishnappa, Saba Samad Memon, Virendra Patil, Anurag Lila, Padma Vikram Badhe, Vijaya Sarathi, Gwendolyn Fernandes, Sameer Rege, Gagan Prakash and 6 more

Abstract read
In one paragraph

Article in Journal of the Endocrine Society, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 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

16 authors.

Aditya PhadteDepartment of Endocrinology, Seth G.S Medical College & KEM Hospital, Mumbai, Maharashtra 4000012, India.ORCID https://orcid.org/0009-0006-5111-0949
Brijesh KrishnappaDepartment of Endocrinology, Seth G.S Medical College & KEM Hospital, Mumbai, Maharashtra 4000012, India.
Saba Samad MemonDepartment of Endocrinology, Seth G.S Medical College & KEM Hospital, Mumbai, Maharashtra 4000012, India.
Virendra PatilDepartment of Endocrinology, Seth G.S Medical College & KEM Hospital, Mumbai, Maharashtra 4000012, India.
Anurag LilaDepartment of Endocrinology, Seth G.S Medical College & KEM Hospital, Mumbai, Maharashtra 4000012, India.ORCID https://orcid.org/0000-0002-9623-4471
Padma Vikram BadheDepartment of Radiology, Seth G.S Medical College & KEM Hospital, Mumbai, Maharashtra 4000012, India.
Vijaya SarathiDepartment of Endocrinology, Vydehi Institute of Medical Sciences and Research Centre, Bangalore, Karnataka 560066, India.
Gwendolyn FernandesDepartment of Pathology, Seth G.S Medical College & KEM Hospital, Mumbai, Maharashtra 4000012, India.
Sameer RegeDepartment of General Surgery, Seth G.S Medical College & KEM Hospital, Mumbai, Maharashtra 4000012, India.
Gagan PrakashDepartment of Uro-Oncology, Tata Memorial Hospital and Advanced Centre for Treatment Research and Education in Cancer, Homi Bhabha National Institute, Mumbai, Maharashtra 400012, India.
Santosh MenonDepartment of Pathology, Tata Memorial Hospital and Advanced Centre for Treatment Research and Education in Cancer, Homi Bhabha National Institute, Mumbai, Maharashtra 400012, India.
Manjiri KarlekarDepartment of Endocrinology, Seth G.S Medical College & KEM Hospital, Mumbai, Maharashtra 4000012, India.ORCID https://orcid.org/0000-0001-7277-7052
Rohit BarnabasDepartment of Endocrinology, Seth G.S Medical College & KEM Hospital, Mumbai, Maharashtra 4000012, India.
Nalini ShahDepartment of Endocrinology, Seth G.S Medical College & KEM Hospital, Mumbai, Maharashtra 4000012, India.ORCID https://orcid.org/0000-0002-2295-0475
Hemangini ThakkarDepartment of Radiology, Seth G.S Medical College & KEM Hospital, Mumbai, Maharashtra 4000012, India.
Tushar BandgarDepartment of Endocrinology, Seth G.S Medical College & KEM Hospital, Mumbai, Maharashtra 4000012, India.ORCID https://orcid.org/0000-0002-6902-4639

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Differentiating pheochromocytomas from other adrenal masses based on computed tomography (CT) characteristics remains challenging, particularly in lipid-poor lesions with variable washout patterns. This study evaluated CT features for distinguishing pheochromocytomas in good and poor washout subcohorts. Methods: We prospectively analyzed 72 patients with unilateral lipid-poor adrenal masses. CT protocol included basal, bolus-tracked arterial, early venous (45 seconds postarterial), and delayed (15 minutes postarterial) phases. Masses were categorized into good and poor washout groups. Histopathology provided the final diagnosis. CT characteristics and calculated indices were compared between pheochromocytomas and other masses in each washout category. Results: The cohort included pheochromocytomas (n = 35), adrenocortical carcinoma (ACC; n = 15), lipid-poor adenomas (n = 13), and metastatic infiltration/infection (n = 9). In the good washout group, pheochromocytomas (n = 15) showed larger diameters (6.00 vs 3.45 cm, Conclusion: Arterial phase attenuation on CT has good diagnostic accuracy for differentiating pheochromocytomas from other adrenal masses in both good and poor washout categories, potentially guiding hormonal workup.

Indexed as

arterial attenuationbolus trackedlipid poor adrenal masspheochromocytomawashout

Identifiers

PMID39606180
PMCPMC11590661

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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.