Evidence map›Paper›PMID 42433550›Full record

ArticleQuantitative imaging in medicine and surgery2026

Comparison between

Rongqin Zhang, Huiting Yang, Yan Zou, Yong Zhao, Rongfang Shen, Zhanwen Zhang

Abstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Rongqin Zhang *Department of Nuclear Medicine, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Huiting Yang *Department of Nuclear Medicine, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Yan Zou *Department of Nuclear Medicine, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Yong ZhaoDepartment of Nuclear Medicine, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Rongfang ShenDepartment of Nuclear Medicine, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Zhanwen ZhangDepartment of Nuclear Medicine, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.ORCID https://orcid.org/0009-0003-7583-9126

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Accurate imaging evaluation of remnant thyroid tissue (RTT) is particularly important for precise radioiodine remnant ablation (RRA). However, the optimal imaging method to guide its management remains a subject of debate. This study compared the diagnostic value of Methods: A total of 505 patients undergoing radioactive iodine (RAI) therapy were enrolled and had no cervical lymph node metastases or distant metastasis in postablation Results: Per-patient analysis showed that Dx scan had significantly higher sensitivity (95.3%) and NPV (34.3%) than Tc-99m scan (66.1% and 6.7%, respectively). Both modalities achieved 100% specificity and PPV. Rx SPECT/CT detected 1,057 radioiodine-uptake foci in 493 patients, with the majority of RTT situated in the superior anterior region (SAR) and posterolateral regions. In the per-site analysis, the overall sensitivity, specificity, PPV, and NPV of Tc-99m scan for detecting RTT were 47.3%, 100%, 100%, and 84.3%, respectively, compared with 86.7%, 100%, 100%, and 95.5% for Dx scan. sTg levels were significantly higher in both Tc-99m scan-positive and Dx scan-positive patients than those in negative patients (2.12 Conclusions: The Dx scan is superior to the Tc-99m scan for RTT assessment. To optimize RAI management, a Dx scan using 74 MBq

Indexed as

diagnostic radioiodine scanDifferentiated thyroid cancer (DTC)radioactive iodine therapy (RAI therapy)single photon emission computed tomography/computed tomography (SPECT/CT)Tc-99m pertechnetate scintigraphy

Identifiers

PMID42433550
PMCPMC13350534

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Registered trials

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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.