Evaluation of the diagnostic performance of apparent diffusion coefficient (ADC) values on diffusion-weighted magnetic resonance imaging (DWI) in differentiating between benign and metastatic lymph nodes in cases of cholangiocarcinoma

Promsorn, Julaluck; Soontrapa, Wannaporn; Somsap, Kulyada; Chamadol, Nittaya; Limpawattana, Panita; Harisinghani, Mukesh G.

doi:10.1007/s00261-018-1742-6

Cited by 19 publications

(12 citation statements)

References 42 publications

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“…Calculating the ADC value of the tumor can quantitatively reflect its intrinsic biological features [6]. To date, the pretreatment ADC value of tumor lesion was reported to be helpful in differential diagnosis [7, 8], tumor staging [9, 10], predicting treatment response of malignancies [11–15]. With regard to NPC, high pretreatment ADC of the primary lesion has been shown to predict poor outcomes and poor response to radio-sensitivity [16, 17].…”

Section: Introductionmentioning

confidence: 99%

The primary lesion apparent diffusion coefficient is a prognostic factor for locoregionally advanced nasopharyngeal carcinoma: a retrospective study

Huang

Lian

et al. 2019

BMC Cancer

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Background To explore prognostic value of the pre-treatment primary lesion apparent diffusion coefficient (ADC) in locoregionally advanced nasopharyngeal carcinoma (LA-NPC). Methods A total of 843 patients with newly diagnosed LA-NPC were enrolled from January 2011 to April 2014 and divided into two groups based on ADC values: the low-ADC group and high-ADC group. The 3-year local relapse-free survival (LRFS), distant metastasis free survival (DMFS), disease-free survival (DFS) and overall survival (OS) rates between two groups were compared using Kaplan-Meier curve, and Cox regression analyses were performed to test prognostic value of the pretreatment ADC in LA-NPC. Results The cut-off value of the pretreatment ADC for predicting local relapse was 784.5 × 10 − 6 mm 2 /s (AUC [area under curve] = 0.604; sensitivity = 0.640; specificity = 0.574), thus patients were divided into low-ADC (< 784.5 × 10 − 6 ; n = 473) group and high-ADC (≥784.5 × 10 − 6 ; n = 370) group. The low-ADC group had significantly higher 3-year LRFS rate and DFS rate than the high-ADC group (LRFS: 96.2% vs. 91.4%, P = 0.003; DFS: 81.4% vs. 73.0%, P = 0.0056). Multivariate analysis showed that the pretreatment ADC is an independent prognostic factor for LRFS (HR, 2.04; 95% CI, 1.13–3.66; P = 0.017) and DFS (HR, 1.41; 95% CI, 1.04–1.89; P = 0.024). Conclusions The pretreatment ADC of the primary lesion is an independent prognostic factor for LRFS and DFS in LA-NPC patients. Electronic supplementary material The online version of this article (10.1186/s12885-019-5684-3) contains supplementary material, which is available to authorized users.

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Section: Introductionmentioning

confidence: 99%

The primary lesion apparent diffusion coefficient is a prognostic factor for locoregionally advanced nasopharyngeal carcinoma: a retrospective study

Huang

Lian

et al. 2019

BMC Cancer

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“…MRI has the additional advantages of using no ionizing radiation, offering a high-quality soft-tissue contrast and tumor evaluation, as well as precise visualization of bile ducts and adjacent structures. These improvements are achieved through the combination of multiple sequences, including T1-weighted imaging [66], T2-weighted imaging [67], diffusion-weighted imaging (DWI) [21], MRCP [19], and dynamic contrast-enhanced MRI (DCE-MRI) [20, 65]. MRI techniques excel at visualizing malignant stricture with or without an associated mass, permit accurate lesion characterization, improve sensitivity in the evaluation of tumor extent along the bile duct and liver invasion, and provide staging information regarding vascular, ductal and lymph node status [68].…”

Section: Preoperative Imaging Evaluation Of Ccamentioning

confidence: 99%

“…To date, multiple imaging techniques have been utilized for preoperative evaluation of CCA, including ultrasonography (US) [11-13], computerized tomography (CT) [14-16], positron emission tomography (PET) [17, 18], magnetic resonance imaging (MRI) [19-21], and cholangioscopy [22, 23]. Meanwhile, artificial intelligence (AI) techniques have influenced changes across healthcare and have been used in many biomedical areas, especially oncology [24].…”

Section: Introductionmentioning

confidence: 99%

Cholangiocarcinoma Evaluation via Imaging and Artificial Intelligence

Yang

Shu²

2020

Oncology

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Background: Cholangiocarcinoma (CCA) is a relatively rare malignant biliary system tumor, and yet it represents the second most common primary hepatic neoplasm, following hepatocellular carcinoma. Regardless of the type, location, or etiology, the survival prognosis of these tumors remains poor. The only method of cure for CCA is complete surgical resection, but part of patients with complete resection are still subject to local recurrence or distant metastasis. Summary: Over the last several decades, our understanding of the molecular biology of CCA has increased tremendously, diagnostic and evaluative techniques have evolved, and novel therapeutic approaches have been established. Key Messages: This review provides an overview of preoperative imaging evaluations of CCA. Furthermore, relevant information about artificial intelligence (AI) in medical imaging is discussed, as well as the development of AI in CCA treatment.

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“…Magnetic resonance imaging (MRI) examination plays an important role in patients with NPC due to its excellent resolution [9], and diffusion-weighted imaging (DWI) has been widely applied to the NPC detection, staging, characterization, and treatment response prediction [10][11][12][13]. However, image quality of single-shot echo-planer imaging (SS-EPI) DWI is unsatisfactory due to the complex anatomic structure with a lot of cavity around the nasopharynx, which might cause motion and magnetic sensitive artifacts [14,15], leading to geometric distortion, signal intensity dropouts [16,17].…”

Section: Introductionmentioning

confidence: 99%

High resolution diffusion weighted imaging for neoadjuvant chemotherapy assessment of nasopharyngeal carcinoma

Meng

Wang

Liu

et al. 2020

Preprint

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Background To evaluate the feasibility of high resolution diffusion weighted imaging (DWI) for the prediction about the response of neoadjuvant chemotherapy (NAC) in patients. Methods 119 NPC patients who underwent magnetic resonance imaging (MRI) including readout-segmented diffusion weighted imaging (RESOLVE-DWI) before treatment enrolled in this study from September 2017 to December 2019, and all patients underwent follow-up MRI at 3 month after two cycles of NAC. Patients were classified into stable disease (SD), partial response (PR) or completed response (CR) based on Response Evaluation Criteria in Solid Tumors (RECIST). Apparent diffusion coefficient (ADC) values were measured from RESOLVE-DWI in the first MRI examination. The ADC values were compared between responders (CR and PR) and non-responders (SD) using Independent samples t-test, and the receiver operating characteristic curve (ROC) was calculated to assess the diagnostic efficacy. Results The ADC value of responders was significantly higher than that of non-responders (719.73 ± 100.44 × 10− 3 mm2/s and 583.28 ± 53.15 × 10− 3 mm2/s, p < 0.001, respectively). The area under the curve (AUC) was 0.879 with a sensitivity at 82.8%, and specificity at 84.6%. Conclusions The ADC value obtained by RESOLVE-DWI, with a high diagnostic accuracy for NAC assessment, could be used as a pretreatment imaging biomarker to predict the early response to NAC in NPC patients.

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Evaluation of the diagnostic performance of apparent diffusion coefficient (ADC) values on diffusion-weighted magnetic resonance imaging (DWI) in differentiating between benign and metastatic lymph nodes in cases of cholangiocarcinoma

Abstract: There was no difference in terms of ADC value between benign lymph nodes and those with metastatic cholangiocarcinoma. Isolated measurement of the ADC value does not contribute to a diagnosis of lymph node metastasis.

Cited by 19 publications

References 42 publications

The primary lesion apparent diffusion coefficient is a prognostic factor for locoregionally advanced nasopharyngeal carcinoma: a retrospective study

The primary lesion apparent diffusion coefficient is a prognostic factor for locoregionally advanced nasopharyngeal carcinoma: a retrospective study

Cholangiocarcinoma Evaluation via Imaging and Artificial Intelligence

High resolution diffusion weighted imaging for neoadjuvant chemotherapy assessment of nasopharyngeal carcinoma

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