Channel
@RadiationOncology
On this record: Growth · Engagement · Reactions · Posts · Cite this entry
3,257subscribers
+1 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001232325862 |
|---|---|
| Type | Channel |
| Username | @RadiationOncology |
| Created | Between 1 March 2018 and 31 August 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 6 September 2026 |
| Measurements held | 12 |
| Confirmed unchanged | 1 time, most recently 6 September 2026 |
| On Telegram | t.me/RadiationOncology |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 6 Sept 2026, 18:16 | 3,257 | +3 |
| 2 Sept 2026, 09:52 | 3,254 | -2 |
| 29 Aug 2026, 23:56 | 3,256 | -5 |
| 26 Aug 2026, 19:23 | 3,261 | +1 |
| 23 Aug 2026, 11:55 | 3,260 | -2 |
| 20 Aug 2026, 02:47 | 3,262 | +1 |
| 16 Aug 2026, 18:16 | 3,261 | -2 |
| 12 Aug 2026, 23:36 | 3,263 | +1 |
| 9 Aug 2026, 21:12 | 3,262 | +7 |
| 6 Aug 2026, 13:50 | 3,255 | -1 |
| 6 Aug 2026, 09:01 | 3,256 | no change |
| 6 Aug 2026, 08:55 | 3,256 | first reading |
26 posts held, back to 23 July 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 3 pages of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 26 posts for this entry, the most recent from 7 August 2026. An engagement rate over an empty window would be a number about nothing.
1 reaction across 1 post, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 1 | 100.0% |
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 1 of the 26 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 1 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 26 most recent posts we hold, published 23 July 2026 to 7 August 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Prognostic Value of Psoas Muscle Index Improvement in Patients Undergoing Transjugular Intrahepatic Portosystemic Shunt https://www.jvir.org/article/S1051-0443(26)01013-4/fulltext?rss=yes To evaluate the prognostic value of early psoas muscle index (PMI) improvement after transjugular intrahepatic portosystemic shunt (TIPS) placement in patients with cirrhosis and sarcopenia.
Percutaneous Extraluminal Arterial Bypass Versus Surgical Arterial Bypass: A Comparative Study in a Porcine Model https://www.jvir.org/article/S1051-0443(26)01016-X/fulltext?rss=yes To compare the four-week patency and degree of intra-graft stenosis of a percutaneously created extraluminal arterial bypass using a stent graft to a surgically created prosthetic bypass in a porcine carotid artery model.
Therapy Outcomes and Healthcare Resource Utilization in Computer Assisted Vacuum Thrombectomy Versus Open Embolectomy: The THRIVE Study https://www.jvir.org/article/S1051-0443(26)01017-1/fulltext?rss=yes To evaluate resource use and clinical outcomes in patients with lower extremity acute limb ischemia (LE-ALI) managed with computer-assisted vacuum thrombectomy (CAVT), embolectomy alone (EA), or embolectomy with adj…
Spinal Cord Injury Following Two-Stage Embolization and Cryoablation for a Cervical Aneurysmal Bone Cyst: Mechanism, Thermal Characterization, and Practice Recommendations https://www.jvir.org/article/S1051-0443(26)01018-3/fulltext?rss=yes
Delayed Inferior Thyroid Artery Pseudoaneurysm and Arteriovenous Fistula after Microwave Ablation of a Benign Thyroid Nodule https://www.jvir.org/article/S1051-0443(26)01006-7/fulltext?rss=yes
Percutaneous Gun-sight Reentry from an Occluded Femoral-Popliteal Bypass Stump to the Native Superficial Femoral Artery for Limb Salvage https://www.jvir.org/article/S1051-0443(26)01015-8/fulltext?rss=yes
Medical Imaging is joining HospiMedica https://www.medimaging.net/radiography/articles/294812365/medical-imaging-is-joining-hospimedica.html Medical Imaging is joining HospiMedica as a dedicated channel, bringing trusted coverage of imaging advances, applications, products, and technologies together...
Trajectory-Based Trauma Index and Pleural Infiltration Predict Pneumothorax After CT-Guided Lung Cryoablation https://www.jvir.org/article/S1051-0443(26)01010-9/fulltext?rss=yes To evaluate associations of a newly developed trajectory-based trauma index (TTI) and tumor-related pleural infiltration with pneumothorax after CT-guided lung cryoablation.
Medical Imaging is joining HospiMedica. https://www.medimaging.net/nuclear-medicine/articles/294812368/medical-imaging-is-joining-hospimedica.html Medical Imaging is joining HospiMedica as a dedicated channel, bringing trusted coverage of imaging advances, applications, products, and technologies together...
Medical Imaging is joining HospiMedica. https://www.medimaging.net/industry-news/articles/294812371/medical-imaging-is-joining-hospimedica.html Medical Imaging is joining HospiMedica as a dedicated channel, bringing trusted coverage of imaging advances, applications, products, and technologies together...
Prediction Models for Infection Severity after Thermal Ablation of Liver Malignant Tumors https://www.jvir.org/article/S1051-0443(26)01008-0/fulltext?rss=yes To identify predictors and develop models for predicting infection severity following percutaneous thermal ablation for liver malignancies.
Standardizing Triage in Interventional Radiology: Results of a Delphi Consensus Process https://www.jvir.org/article/S1051-0443(26)01007-9/fulltext?rss=yes Prioritization of emergency cases with risk-stratification tools can improve patient care and decrease morbidity. No triage system yet exists for Interventional Radiology (IR). In this study, IR attendings were anonymously surveyed using the Delphi method with th…
Showing the 12 most recent of 26 posts we hold for @RadiationOncology. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 6 September 2026 — this entry's latest reading, not the date you are reading this.
“Radiation Oncology | Articles preview” (@RadiationOncology), 3,257 subscribers as measured 6 September 2026. Telegram Register, tgregister.com/channel/RadiationOncology.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.