| Literature DB >> 27725771 |
Yi Wei1,2, Sen Wu3,4, Dapeng Shi1,2, Shewei Dou1,2, Tingyi Sun5,6, Peigang Ning1,2, Cuihua Zhao1,2, Ziyuan Li1,2, Xiaodong Li1,2, Feifei Gao1,2, Linlin Li1,2, Dandan Zheng7, Shaocheng Zhu1,2.
Abstract
High-resolution magnetic resonance (MR) images clearly depict the normal oesophageal wall as consisting of eight layers, which correlates well with histopathological findings. In 56 (91.8%) of 61 lesions, the depth of oesophageal wall invasion determined through MR imaging was consistent with histopathological staging (r = 0.975, P < 0.001). The sensitivity, specificity and accuracy for the mucosa were 71.4%, 98.1%, and 95.1%, respectively, and the corresponding values for the submucosa were 82.4%, 95.5%, and 91.8%; for the muscularis propria, the sensitivity, specificity and accuracy were 100%, 95.7%, and 96.7%, respectively, and for the adventitia, these values were 100%, 100%, and 100%. The Cohen k values for interobserver agreement were excellent: K = 0.839, P < 0.001 (observer 1 vs. observer 2); K = 0.908, P < 0.001 (observer 1 vs. observer 3); and K = 0.885, P < 0.01 (observer 2 vs. observer 3). High-resolution ex vivo MR images obtained with a 3.0 T scanner can be used to precisely evaluate oesophageal carcinoma invasion and provide good diagnostic sensitivity, specificity and accuracy.Entities:
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Year: 2016 PMID: 27725771 PMCID: PMC5057120 DOI: 10.1038/srep35109
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
The Signal Intensity Characteristics of the Normal Oesophageal Layers in High-resolution T1- and T2- weighted MR Images.
| Histopathological layers | Signal intensity characteristics of the oesophageal wall | |
|---|---|---|
| T1-weighted MR images | T2-weighted MR images | |
| Epithelium | isointense | hypointense |
| Lamina propria mucosae | isointense | iso- to hyperintense |
| Muscularis mucosae | isointense | iso- to hypointense |
| Submucosa | isointense | mixed-intense |
| Inner circular muscle | isointense | isointense |
| Intermuscular connective tissue | isointense | iso-to hyperintense |
| Outer longitudinal muscle | isointense | hypointense |
| Adventitia | isointense | hyperintense |
Note: High-resolution T1-weighted MR images show the oesophageal layers as similarity isointense. Highresolution T2-weighted images depict the oesophageal wall as consisting of 8 layers, which corresponds well to histopathological findings.
Figure 1Normal oesophageal wall.
(a) Transverse ex vivo T2-weighted image depicting the normal oesophageal wall as having 8 layers (white arrow): epithelium (Epi; hypointense), lamina propria mucosae (LPM; iso- to hyperintense), muscularis mucosae (MM; iso- to hypointense), submucosa (SM; mixed intensity), inner circular muscle (ICM; isointense), intermuscular connective tissue (IMCT; iso-to hyperintense), outer longitudinal muscle (OLM; hypointense), and adventitia (Adv; hyperintense). (b) Transverse histologic section of the normal oesophageal wall depicting the epithelium, lamina propria mucosae, muscularis mucosae, submucosa, inner circular muscle, intermuscular connective tissue, outer longitudinal muscle, and adventitia (hematoxylin-eosin stain; original magnification, ×10).
Figure 2Oesophageal carcinoma that has invaded the mucosa.
(a) Transverse ex vivo T2-weighted image demonstrating that the carcinoma has invaded into the mucosa (white arrow), and the iso- to hypointense muscularis mucosae is still intact (white arrow). (b) Transverse histologic section showing that the muscularis mucosae is intact (white arrow) (hematoxylin-eosin stain; original magnification, ×10).
Figure 3Oesophageal carcinoma invading the submucosa.
(a) Transverse ex vivo T2-weighted image demonstrating that the carcinoma has invaded into the submucosa (white arrow), and the inner circular muscle is still intact. (b) Transverse histologic section showing that the tumour has invaded the submucosa (white arrow) (hematoxylin-eosin stain; original magnification, ×10).
Figure 4Oesophageal carcinoma invading the muscularis propria.
(a) Transverse ex vivo T2-weighted image showing that the slightly higher signal intensity carcinoma has compressed the inner circular muscle (white arrow) without clear delineation, and the inner circular muscle is obviously thinner. (b) Corresponding histologic section showing carcinoma invading the inner circular muscle (white arrow), and the submucosa has been infiltrated. (hematoxylin-eosin stain; original magnification, ×10).
Figure 5Oesophageal carcinoma that has invaded the adventitia.
(a) Transverse ex vivo T2-weighted image showing that the tumour has invaded the adventitia (white arrow). (b) Transverse histologic section showing that the tumour has invaded the adventitia (white arrow). (hematoxylin-eosin stain; original magnification, ×10).
Comparison of High-resolution MR Images and Histopathological Findings for Evaluation of the Depth of Carcinoma Invasion.
| MR findings | Histopathological findings | |||
|---|---|---|---|---|
| Mucosa (n = 7) | Submucosa (n = 17) | Muscularis propria (n = 14) | Adventitia (n = 23) | |
| Mucosa | 5 | 1 | 0 | 0 |
| Submucosa | 2 | 14 | 0 | 0 |
| Muscularis propria | 0 | 2 | 14 | 0 |
| Adventitia | 0 | 0 | 0 | 23 |
Note: The invasion of individual layers is based on the TNM classification of the American Joint Committee on Cancer (seventh edition)27.
Diagnostic Accuracy of High-resolution Images for Evaluating Oesophageal Carcinoma Invasion.
| Group | Mucosa (%) | Submucosa (%) | Muscularis Propria (%) | Adventitia (%) |
|---|---|---|---|---|
| SE | 5/7 (71.4) | 14/17 (82.4) | 14/14 (100) | 23/23 (100) |
| SP | 53/54 (98.1) | 42/44 (95.5) | 45/47 (95.7) | 38/38 (100) |
| AC | 58/61 (95.1) | 56/61 (91.8) | 59/61 (96.7) | 61/61 (100) |
| FPR | 1/54 (1.9) | 2/44 (4.5) | 2/47 (4.3) | 0/38 (0) |
| FNR | 2/7 (28.6) | 3/17 (17.6) | 0/14 (0) | 0/23 (0) |
| PPV | 5/6 (83.3) | 14/16 (87.5) | 14/16 (87.5) | 23/23 (100) |
| NPV | 53/55 (96.4) | 42/45 (93.3) | 45/45 (100) | 38/38 (100) |
Note: SE: sensitivity; SP: specificity; AC: accuracy; FPR: false positive rate; FNR: false negative rate; PPV: positive predictive value; NPV: negative predictive value.