Radiomics Based on T2-Weighted Imaging and Apparent Diffusion Coefficient Images for Preoperative Evaluation of Lymph Node Metastasis in Rectal Cancer Patients

Li, Chunli; Yin, Jiandong

doi:10.3389/fonc.2021.671354

Cited by 23 publications

(22 citation statements)

References 45 publications

(78 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This study confirmed that "MaximumProbability", "MaximumProbability" and "MaximumProbability" were the most meaningful among all the GLCM features, showing differences in the regional signal intensity distribution, gray level skewness, uniformity and linear dependency within PDAC tissues with LNM or nLNM tendency (47). The value of some of the wavelet features we obtained has also been confirmed in recent studies on LNM of rectal cancer and cervical cancer, especially the features based on T2WI (21,24,48). We also found that only six features from T2WI were retained-fewer than those retained from PVP (eight features).…”

Section: Discussionsupporting

confidence: 86%

“…T2-weighted imaging (T2WI) and the dynamic enhanced portal venous phase (PVP) of MRI can better depict the biological characteristics of pancreatic lesions and have therefore been applied to radiomics studies of pancreatic cancer (18)(19)(20), including for differential diagnosis, prognosis evaluations, and treatment response predictions. Although studies have shown that radiomics can be used for the preoperative prediction of LNM of malignant tumors (21)(22)(23)(24), few radiomics studies based on MRI image texture analysis have been conducted for the preoperative prediction of LNM of PDAC. Therefore, this study aimed to explore whether the use of T2WI and PVP features was feasible for predicting LNM of PDAC.…”

mentioning

confidence: 99%

See 1 more Smart Citation

Preoperative Prediction of Lymph Node Metastasis of Pancreatic Ductal Adenocarcinoma Based on a Radiomics Nomogram of Dual-Parametric MRI Imaging

Shi

Wei³

et al. 2022

Front. Oncol.

View full text Add to dashboard Cite

PurposeThis study aims to uncover and validate an MRI-based radiomics nomogram for detecting lymph node metastasis (LNM) in pancreatic ductal adenocarcinoma (PDAC) patients prior to surgery.Materials and MethodsWe retrospectively collected 141 patients with pathologically confirmed PDAC who underwent preoperative T2-weighted imaging (T2WI) and portal venous phase (PVP) contrast-enhanced T1-weighted imaging (T1WI) scans between January 2017 and December 2021. The patients were randomly divided into training (n = 98) and validation (n = 43) cohorts at a ratio of 7:3. For each sequence, 1037 radiomics features were extracted and analyzed. After applying the gradient-boosting decision tree (GBDT), the key MRI radiomics features were selected. Three radiomics scores (rad-score 1 for PVP, rad-score 2 for T2WI, and rad-score 3 for T2WI combined with PVP) were calculated. Rad-score 3 and clinical independent risk factors were combined to construct a nomogram for the prediction of LNM of PDAC by multivariable logistic regression analysis. The predictive performances of the rad-scores and the nomogram were assessed by the area under the operating characteristic curve (AUC), and the clinical utility of the radiomics nomogram was assessed by decision curve analysis (DCA).ResultsSix radiomics features of T2WI, eight radiomics features of PVP and ten radiomics features of T2WI combined with PVP were found to be associated with LNM. Multivariate logistic regression analysis showed that rad-score 3 and MRI-reported LN status were independent predictors. In the training and validation cohorts, the AUCs of rad-score 1, rad-score 2 and rad-score 3 were 0.769 and 0.751, 0.807 and 0.784, and 0.834 and 0.807, respectively. The predictive value of rad-score 3 was similar to that of rad-score 1 and rad-score 2 in both the training and validation cohorts (P > 0.05). The radiomics nomogram constructed by rad-score 3 and MRI-reported LN status showed encouraging clinical benefit, with an AUC of 0.845 for the training cohort and 0.816 for the validation cohort.ConclusionsThe radiomics nomogram derived from the rad-score based on MRI features and MRI-reported lymph status showed outstanding performance for the preoperative prediction of LNM of PDAC.

show abstract

Section: Discussionsupporting

confidence: 86%

mentioning

confidence: 99%

Preoperative Prediction of Lymph Node Metastasis of Pancreatic Ductal Adenocarcinoma Based on a Radiomics Nomogram of Dual-Parametric MRI Imaging

Shi

Wei³

et al. 2022

Front. Oncol.

View full text Add to dashboard Cite

show abstract

“…Conversely, benign tumors have relatively low cell density and a large tissue gap, so the free diffusion movement of water molecules is relatively free, manifested by a high apparent diffusion coefficient. The apparent diffusion coefficient has been confirmed to have high value in identifying various malignant tumors (16)(17)(18)(19). Zheng et al found that the apparent diffusion coefficient had a high predictive value for the response to chemotherapy in gastrointestinal cancer patients with liver metastases (20).…”

Section: Discussionmentioning

confidence: 99%

Apparent diffusion coefficient is a good marker in predicting the prognosis in colorectal cancer liver metastases: a diagnostic study

Zheng¹,

Lu²,

Zhang³

et al. 2022

J Gastrointest Oncol

View full text Add to dashboard Cite

Background: Colorectal cancer (CRC) is one of the most common malignant tumors. Up to 10% CRC patients can have liver metastases at the first diagnosis. At present, clinical diagnosis of CRC liver metastasis (CRCLM) is mostly based on imaging, and there is a certain false-positive rate and false-negative rate.Improving the diagnostic accuracy of imaging for CRCLM is highly significant. Apparent diffusion coefficients showed high predicting value in other cancers. The aim of the present study was to explore the diagnostic value of apparent diffusion coefficients based on magnetic resonance diffusion weighted imaging for CRCLM.Methods: Fifty patients with CRCLM admitted to Hebei Yanda Hospital from January 2018 to December 2018 were retrospectively collected, and the data of 50 patients with benign liver nodules were collected at the same time. The diagnostic value of apparent diffusion coefficients on liver metastatic cancer was analyzed using receiver operating characteristic curve. The correlation between apparent diffusion coefficients and clinical pathological features of patients with CRCLM was also analyzed. The diagnosis of liver metastatic cancer was based on pathological biopsy. Three-year follow up after surgery was conducted in clinic or via phone.Results: Compared with the benign liver nodule group, the apparent diffusion coefficients of patients in the CRCLM group were significantly decreased [(1.14±0.26 vs. 2.06±0.57)×10−3 mm 2 /s, P<0.001]. The apparent diffusion coefficient was of high value in differentiating between benign liver nodules and liver metastatic cancer. The area under the curve was 0.927 [95% confidence interval (CI): 0.879-0.975, P<0.001]. Compared with patients with highly differentiated tumors, the apparent diffusion coefficients of patients with moderately and poorly differentiated tumors were significantly reduced [(1.08±0.26 vs. 1.29±0.22)×10−3 mm 2 /s, P=0.010]. Compared with patients who survived 3 years after operation, the apparent diffusion coefficients of patients who died were significantly lower [(1.05±0.26 vs. 1.23±0.23)×10−3 mm 2 /s, P=0.011]. The apparent diffusion coefficients of liver nodules in patients with CRCLM is a good marker in predicting postoperative 3-year survival, and the area under the curve was 0.728 (95% CI: 0.580-0.876, P=0.006). Conclusions:The apparent diffusion coefficient can sever as a marker in diagnosing CRCLM and predicting prognosis.

show abstract

“…Although the D* and f values of IVIM‐DWI performed well in assessing the N‐LNM of primary lesion of rectal adenocarcinoma, the diagnostic efficiency was not enough high in the study. Recently, a prior study demonstrated that the radiomics nomogram, incorporating Rads‐score based on features from the T 2 WI and ADC images, has potential for the preoperative identification of LN status in patients with rectal cancer 26 . Perhaps, it is because DWI with ADC is a functional MRI sequence that can reflect the varying cellularity within a tumor, 27 the AUCs of ADC images were higher than the AUCs of T 2 WI.…”

Section: Discussionmentioning

confidence: 99%

“…Recently, a prior study demonstrated that the radiomics nomogram, incorporating Rads-score based on features from the T 2 WI and ADC images, has potential for the preoperative identification of LN status in patients with rectal cancer. 26 Perhaps, it is because DWI with ADC is a functional MRI sequence that can reflect the varying cellularity within a tumor, 27 the AUCs of ADC images were higher than the AUCs of T 2 WI. Liu et al constructed a radiomics model based on VOIs of T 2 WI and DWI (b = 1000 sec/mm 2 ), which also achieved good diagnostic performance in the validation cohort.…”

Section: Discussionmentioning

confidence: 99%

A Nomogram of Combining IVIM‐DWI and MRI Radiomics From the Primary Lesion of Rectal Adenocarcinoma to Assess Nonenlarged Lymph Node Metastasis Preoperatively

Jia

Jiang

Zhang

et al. 2022

Magnetic Resonance Imaging

View full text Add to dashboard Cite

Background: Lymph node (LN) staging plays an important role in treatment decision-making. Current problem is that preoperative detection of LN involvement is always highly challenging for radiologists. Purpose: To explore the value of the nomogram model combining intravoxel incoherent motion diffusion-weighted imaging (IVIM-DWI) and radiomics features from the primary lesion of rectal adenocarcinoma in assessing the non-enlarged lymph node metastasis (N-LNM) preoperatively. Study Type: Retrospective. Population: A total of 126 patients (43% female) comprising a training group (n = 87) and a validation group (n = 39) with pathologically confirmed rectal adenocarcinoma. Field Strength/Sequence: A 3.0 Tesla (T); T 2 Àweighted imaging (T 2 WI) with fast spin-echo (FSE) sequence; IVIM-DWI spin-echo echo-planar imaging sequence. Assessment: Based on pathological analysis of the surgical specimen, patients were classified into negative LN (LNÀ) and positive LN (LN+) groups. Apparent diffusion coefficient (ADC), diffusion coefficient (D), pseudo diffusion coefficient (D*) and microvascular volume fraction (f) values of primary lesion of rectal adenocarcinoma were measured. Three-dimensional (3D) radiomics features were measured on T 2 WI and IVIM-DWI. A nomogram model including IVIM-DWI and radiomics features was developed. Statistical Tests: General_univariate_analysis and multivariate logistic regression were used for radiomics features selection. The performance of the nomogram was assessed by the receiver operating characteristic (ROC) curve, calibration, and decision curve analysis (DCA). Results: The LN+ group had a significantly lower D* value ([13.20 AE 13.66 vs. 23.25 AE 18.71] Â 10 À3 mm 2 /sec) and a higher f value (0.43 AE 0.12 vs. 0.34 AE 0.10) than the LNÀ group in the training cohort. The nomogram model combined D*, f, and radiomics features had a better evaluated performance (AUC = 0.864) than any other model in the training cohort. Date Conclusion:The nomogram model including IVIM-DWI and MRI radiomics features in the primary lesion of rectal adenocarcinoma was associated with the N-LNM.

show abstract

Radiomics Based on T2-Weighted Imaging and Apparent Diffusion Coefficient Images for Preoperative Evaluation of Lymph Node Metastasis in Rectal Cancer Patients

Cited by 23 publications

References 45 publications

Preoperative Prediction of Lymph Node Metastasis of Pancreatic Ductal Adenocarcinoma Based on a Radiomics Nomogram of Dual-Parametric MRI Imaging

Preoperative Prediction of Lymph Node Metastasis of Pancreatic Ductal Adenocarcinoma Based on a Radiomics Nomogram of Dual-Parametric MRI Imaging

Apparent diffusion coefficient is a good marker in predicting the prognosis in colorectal cancer liver metastases: a diagnostic study

A Nomogram of Combining IVIM‐DWI and MRI Radiomics From the Primary Lesion of Rectal Adenocarcinoma to Assess Nonenlarged Lymph Node Metastasis Preoperatively

Contact Info

Product

Resources

About