Evidence map›Paper›PMID 32072391›Full record

ArticleLa Radiologia medica2020

Differentiation between nasopharyngeal carcinoma and lymphoma at the primary site using whole-tumor histogram analysis of apparent diffusion coefficient maps.

Shanshan Lian, Cheng Zhang, Jun Chi, Yingyi Huang, Feng Shi, Chuanmiao Xie

Abstract read
PubMed Publisher
In one paragraph

Article in La Radiologia medica, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. [A deep learning method for differentiating nasopharyngeal carcinoma and lymphoma based on MRI].Lin chuang er bi yan hou tou jing wai ke za zhi = Journal of clinical otorhinolaryngology head and neck surgery · 2025
    Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Review
  7. Review
  8. Review
  9. Review
  10. Review
  11. Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. Review
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.

Shanshan LianState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, ADD: 651 Dongfeng East Road, Guangzhou, 510060, People's Republic of China.
Cheng ZhangState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, ADD: 651 Dongfeng East Road, Guangzhou, 510060, People's Republic of China.
Jun ChiState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, ADD: 651 Dongfeng East Road, Guangzhou, 510060, People's Republic of China.
Yingyi HuangState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, ADD: 651 Dongfeng East Road, Guangzhou, 510060, People's Republic of China.
Feng ShiDepartment of Interventional Radiology, Guangdong Province People's Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan Second Rd, Guangzhou, 510080, People's Republic of China.
Chuanmiao XieState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, ADD: 651 Dongfeng East Road, Guangzhou, 510060, People's Republic of China. xiechm1@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionTo determine the value of whole-tumor histogram analysis of apparent diffusion coefficient (ADC) maps in differentiating nasopharyngeal carcinoma (NPC) from lymphoma (NPL) at the primary site METHOD AND MATERIALS: One hundred forty-seven patients with nasopharyngeal tumors (89 NPCs and 38 NPLs) who had undergone magnetic resonance imaging (MRI) and diffusion-weighted imaging were retrospectively analyzed. ADC histogram-derived parameters were compared between the NPC and NPL groups by using the Mann-Whitney U test. Receiver operating characteristic (ROC) curves of the histogram parameters were plotted for diagnostic accuracy. Sensitivity and specificity were calculated for each histogram parameter.

resultsIn whole-tumor histogram analysis, the mean, median, and 10th and 25th percentiles of ADC were all significantly higher in NPC than NPL (P = 0.045, P = 0.035, P = 0.005, and P = 0.016, respectively). Uniformity was significantly higher in NPC than NPL (P = 0.001). Skewness was significantly lower in NPC than NPL (P = 0.039). For the conventional ROI-based method, ADC

conclusionWhole-tumor histogram analysis of ADC maps could be helpful for differentiating NPC from NPL.

Indexed as

AdultAgedAged, 80 and overDiagnosis, DifferentialDiffusion Magnetic Resonance ImagingFemaleHumansLymphomaMaleMiddle AgedNasopharyngeal CarcinomaNasopharyngeal NeoplasmsRetrospective StudiesSensitivity and SpecificityDWIHistogram analysisLymphomaMRINasopharyngeal carcinoma

Identifiers

What OpenQuestion holds

Textmetadata
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.