MCO Molecular and Clinical Oncology 2049-9450 2049-9469 D.A. Spandidos MCO-18-4-02629 10.3892/mco.2023.2629 Articles Whole‑body MRI for metastatic workup in patients diagnosed with cancer RashidRezheen J. 1 2 TahirSoran H. 2 3 KakamadFahmi H. 2 3 4 OmarSami S. 4 5 SalihAbdulwahid M. 2 3 AhmedShaho F. 2 AbdallaShalaw H. 1 NaqarSharo 1 3 SalihRawezh Q. 2 4 KakamadSuhaib H. 4 MohammedKarukh K. 4 MustafaShevan M. 4 5 6 HassanMarwan N. 2 3 4 MohammedShvan H. 4 Department of Oncology, Hiwa Cancer Hospital Centre, Sulaimani Directorate of Health, Sulaimani, Kurdistan 46000, Iraq Smart Health Tower, Sulaimani, Kurdistan 46000, Iraq Department of Surgery, College of Medicine, University of Sulaimani, Sulaimani, Kurdistan 46000, Iraq Kscien Organization, Sulaimani, Kurdistan 46000, Iraq Rizgary Oncology Center, Erbil, Kurdistan 44000, Iraq Medical Laboratory Technician Department, Al Qalam University College, Kirkuk, Kurdistan 46000, Iraq Correspondence to: Dr Fahmi H. Kakamad, Department of Surgery, College of Medicine, University of Sulaimani, 129 Madam Mitterrand Street, Sulaimani, Kurdistan 46000, Iraq huangna213@163.com NULL 04 2023 01 03 2023 18 4 33 14 09 2022 17 01 2023 Copyright: © Rashid et al. 2020 This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.

Early diagnosis and appropriate staging workup are crucial for cancer patients. Whole-body magnetic resonance imaging (WB-MRI) has been proposed as another practical whole-body approach for assessing local invasiveness and distant metastases in patients newly diagnosed with cancer. The current study aimed to evaluate the efficacy of WB-MRI in assessing metastasis in patients newly diagnosed with cancer using histopathologic data as the reference method. A prospective observational study was performed from April 2018 to July 2020. MRI sequences were utilized to acquire anatomical and functional images in three orthogonal planes. The discovery was classified as nodal, skeletal and visceral metastases. Patient-based analysis was used for visceral metastasis and region-based for skeletal, systemic and lymph node metastases. A total of 43 consecutive patients (mean age, 56±15.2 years) were assessed successively. In 41 patients, there was a concordance between the WB-MRI and histological confirmation. The most prevalent site of metastasis was the skeletal system (18 patients). There were 12 individuals with liver metastasis, 10 with lung metastasis and 4 with peritoneal metastasis, with just one brain metastatic lesion found. On WB-MRI, 38 lymph node groups were deemed positive. Out of the total, 66 skeletal locations contained metastases. The accuracy of WB-MRI for nodal, skeletal and visceral metastases was (98.45, 100 and 100%, respectively). In conclusion, WB-MRI in three orthogonal planes, including the diffusion-weighted MRI with background body signal suppression sequence, may be utilized efficiently and accurately for assessing metastasis staging and may thus be utilized in patients with newly diagnosed cancer.

 WB-MRI WB-DWI DWIBS cancer metastasis bone scan Funding: No funding was received. Introduction

Metastasis is the leading cause of morbidity and mortality in patients with cancer, accounting for ~90% of cancer-associated deaths. However, the survival rate has recently increased, owing to earlier detection of cancers and developments in treatments (1). Particular cancers tend to metastasize to specific organs, e.g., breast and prostate cancers prominently develop skeletal metastases (2). Regarding visceral metastasis, the liver is the most common site for metastasis, followed by the lung (3).

Early diagnosis, proper staging and an accurate metastatic workup are critical in oncology. The type and stage of cancer are both crucial variables in the prognosis. As tumors may spread to different anatomical locations, a reliable method to detect distant metastases of malignancies is part of a project for guiding future staging and appropriate treatment (4). Cancer care is highly dependent on accurate information on individual tumor spread. For this reason, early diagnosis and assessment of metastatic workup in individual patients require several imaging modalities. However, this method is time-consuming, costy and unpleasant for the patient (5). In high-risk patients, occult metastases are evaluated during staging using chest X-rays, abdominal ultrasounds and bone scintigraphy, while computed tomography (CT), positron emission tomography with CT (PET/CT) and magnetic resonance imaging (MRI) are increasingly being used as they are more advanced and comprehensive in the detection of both primary and metastatic lesions (6). Previous clinical studies have indicated that 18F-fluorodeoxyglucose (18FDG) PET/CT has significantly higher sensitivity and specificity in the diagnosis and staging of certain cancers than CT alone, even though it is more expensive and uses radioactive ions, i.e. 18FDG (6). Whole-body MRI (WB-MRI) has been proposed as another effective whole-body approach for assessing both local invasiveness and distant metastases in patients with newly diagnosed cancers in recent years (7,8). WB-MRI provides several advantages, including the absence of ionizing radiation, high soft-tissue contrast, low cost, the absence of radioactive substances, improved availability and its safe use in patients with renal impairment (6,9). WB-MRI primarily provides structural information (revealing a detailed image of the pathology or lesion) on tumor spread; however, the absence of functional datasets has been resolved by incorporating WB-DWI into medical practice (10). WB-DWI shortens examination interpretation times by directing the radiologist's attention to abnormalities, which may then be investigated on anatomic sequences (11,12). In addition, WB-DWI with background body signal suppression (DWIBS) enables volumetric capture of DWIs of the entire body. This idea differs from traditional DWI, which has been demonstrated to be effective during free breathing and has a crucial role in WB imaging in oncology patients (13). Initial studies on TNM staging of lung cancer using WB-MRI vs. PET/CT reveal that both modalities give adequate accuracy and effectiveness. Whole-body MRI tends to be more effective in identifying brain and liver metastases, whereas PET/CT appears to be more effective in detecting lymph node (LN) and soft tissue metastases (14).

The present study aimed to determine the efficacy of WB-MRI in assessing metastasis in patients with newly diagnosed cancers using histopathologic data as the reference method.

 Patients and methods <sec> <title>Study design

This prospective study was conducted at a single center (Shahid Hemn Teaching Hospital; Sulaimani, Iraq) from April 2018 to July 2020. It was performed on patients newly diagnosed with cancers who have had a whole-body MRI scan.

 Inclusion and exclusion criteria

Only patients with malignancies proven by histology and patients with metastatic lesions proven by histopathology or cytology were included. Patients whose MRI sequences were incomplete, low-quality and/or had no histopathological evidence of metastatic lesions were eliminated from the study. Low-quality or incomplete MRI included MRI exams with incomplete sequence(s), which is particularly common in elderly patients who are unable to tolerate the scan, or uncooperative patients who do not obey breathing instructions and motion artifacts that may impair images and lead to lower accuracy.

 Measurements

Sensitivity is the proportion of true-positive tests out of all patients with a condition. It was calculated as follows: Sensitivity=(True Positives)/(True Positives + False Negatives).

Specificity is the percentage of true negatives out of all subjects who do not have a disease or condition. Calculation: Specificity=(True Negatives)/(True Negatives + False Positives).

Accuracy measures how correct a diagnostic test identifies and excludes a given condition. Calculation: Accuracy=(True Negatives + True Positives)/(True Negatives + True Positives + False Negatives + False Positives).

 Radiological evaluation

In the current study, five sequences were used, including anatomical and functional data between three orthogonal planes (coronal, axial and sagittal). A surface body coil (Philips ACHIEVA; 1.5 Tesla; Philips Medical Systems); was used to acquire the WB-MRI images. The same MR platform was used to scan all patients without giving contrast material. The evaluation lasted for ~1 h. Table I lists the MRI parameters in detail. For improved lesion detection, the DWIBS images were inverted black-and-white grayscale. Conventional sequences were employed to confirm positive DWIBS results or artifacts. On a workstation, two board-certified radiologists with 10 years of expertise in WB-MRI evaluated the findings. Imaging data were categorized based on nodal and distant metastasis and stored in an Excel sheet. The histopathology sample was ordered by a multidisciplinary team or the treating physician for clinical purposes. If histological examination of the samples provided an outcome, no further follow-up was performed. In the case of involvement of just one organ, a sample was taken from the suspicious lesion. In multi-organ metastases, only one lesion was confirmed and all other lesions were considered positive.

To simplify the process, the WB-MRI was divided into three categories: Nodal, skeletal and visceral metastases. Patient-based analysis was used for visceral metastases, whereas region-based analysis was used for skeletal systems and LN groups.

 Statistical analysis

To strengthen the identification of the collected datasets, statistical analysis using two softwares, SPSS (version 25; IBM Corporation) and Excel 2016 (Microsoft Corporation), was performed. The presence or absence of metastasis was used to classify the findings. Using 2x2 cross-tabulation data, the sensitivity, specificity and accuracy of WB-MRI were estimated.

 Results <sec> <title>Patient characteristic

A WB-MRI scan was performed on 153 patients diagnosed with primary cancers. Only 43 individuals with distant metastatic lesions, confirmed by histology, were included. WB-MRI was used to evaluate a total of 43 consecutive patients (24 males and 19 females) who had just been diagnosed with cancer, with a mean age of 56±15.2 (range, 18-83) years. Histopathological confirmation was used as the gold standard. The present study included a variety of primary tumors. Breast cancer was the most prevalent primary tumor, accounting for 16.2%. Breast cancer was the most common primary tumor in seven cases followed by prostate cancer in six cases. Table II provides an account of the locations/types of primary tumors within the cohort.

 Efficacy

According to the patient-based method, there was a concordance between the WB-MRI and histological confirmation in 41 of 43 cases (95.3%). The skeletal system was the most prevalent location of metastasis. There was a concordance between WB-MRI and histological confirmation of visceral metastases. There were no false-positive or false-negative outcomes recorded. On WB-MRI, 12 patients had hepatic metastasis, 10 had pulmonary metastasis, 4 had peritoneal metastasis and only one had brain metastasis.

For the LNs, a region-based analysis was performed. A total of 258 areas were evaluated on 43 individuals. Lymphadenopathy was defined as any LN measuring >10 mm in the short axis diameter or any abnormal LN of any size that had newly appeared. WB-MRI verified 38 of the 258 LNs as positive, whereas histology confirmed 36. Two LN areas were first considered to be negative on imaging but turned out to be positive on histology. The presence or absence of metastases was determined in all skeletal areas. WB-MRI was used to evaluate 301 regions of the 43 patients, with 66 sites considered positive. The accuracy for detecting bone metastases was 100%. There were no false-positive or false-negative results for skeletal and visceral metastases. The sagittal plane is strongly recommended in oncology because spine curvatures may be responsible for partial volume effects that conceal certain lesion on coronal plane. In the current study, the accuracy for bone metastasis was 100%; this high result is explained by the efficacy of DWBIS and the provision of images in three orthogonal planes (Fig. 1).

The study found that WB-MRI was 100% accurate in diagnosing skeletal and visceral metastases but only 98.45% accurate in diagnosing LN metastases. The sensitivity, specificity and accuracy of visceral, skeletal and nodal metastases are all provided in Table III.

 Discussion

A proper staging work-up and monitoring are required for assessing prognosis and management strategies in patients with cancer (15). Bone scans and PET scans are commonly utilized in the initial work-up in patients with cancer to evaluate metastases. These techniques expose the cancer-affected patient to potentially hazardous radiation (16). A previous study has been performed to demonstrate the utility of WB-MRI in resolving this dilemma, as MRI is generally more readily available and is a radiation-free technique. Adding to that, MRI may detect metastatic lesions in bone before the occurrence of changes in bone metabolism, making them visible on bone scans (16). WB-MRI has been used for both primary staging and monitoring of different malignancies, particularly cancers that commonly metastasize to the bone, brain and abdominal organs, such as breast cancer and colorectal cancer (17). WB-MRI has also been used as a diagnostic tool for imaging of various hematologic malignancies and bone marrow pathologies, such as lymphoma and multiple myeloma (17).

False-positive results, particularly in enlarged LNs due to inflammatory processes or normal-sized LNs carrying micro-metastases, may decrease MRI or CT sensitivity and specificity. Comparison of WB-MRI to other imaging modalities, such as PET-CT, bone scintigraphy and conventional cross-sectional imaging, has been performed in numerous studies (18-20). Barchetti et al (21) compared WB-MRI to PET-CT and discovered that it had a sensitivity, specificity and accuracy of 99, 98 and 98%, respectively. Regarding visceral metastasis, a recent meta-analysis reported that DWI had a sensitivity of 82.8% and specificity of 80.1% for detecting lung nodules (22). MRI sensitivity and specificity are reduced when pulmonary nodules are <10 mm in size. Regier et al (23)observed a sensitivity of 97% for nodules with a diameter of >10 mm, while it dropped to 86% for nodules 6-9 mm in size and 43.8% for lesions 5 mm or less. Goda et al (24) discovered a sensitivity, specificity and accuracy of 64, 88 and 76%, respectively, and an accuracy of 100% for hepatic lesions. DWIBS was used in the present study instead of DWI, which is more sensitive than DWI, as demonstrated in a recent study published by Eissawy et al (25). In the current study, WB-MRI demonstrated 100% accuracy for visceral metastases. The high percentages obtained in the current study, notably in detecting lung lesions, may be attributed to the use of DWIBS, which allows for free-breathing scanning of moving visceral organs and lesions. In metastatic cancer, there is a limited indication that the lesions detected by WB-MRI contain pathologically viable tumor cells (26). However, in the present study, histology confirmed the radiological findings.

The DWIBS sequence increases the detection of pulmonary lesions. Usuda et al (27) performed a study on 55 patients with lung cancer, concluding that the DWIBS sequence may identify multiple metastatic lesions across the body and differentiate malignancy from benignity in only one examination. Although DWIBS alone may be somewhat sensitive, characterization of lesions is not always achievable due to impeded diffusion in both malignant and nonmalignant processes. To avoid false-positive and false-negative outcomes, correlation with morphologic imaging data is required. Another factor that improves diagnostic accuracy in the present study is the use of a surface coil rather than a main magnet coil, which considerably improves the pulmonary spatial resolution, as indicated by Paruthikunnan et al (28).

Primary malignancies frequently metastasize to LNs, and LN involvements have an impact on patient management (29). WB-DWI offers a functional imaging component that may enhance LN characterization by providing information on tissue characteristics over a wide field at appropriate acquisition times, making it a practical staging and screening method (30). WB-DWI was suggested as an alternative to conventional 18FDG PET/CT for lymphoma staging (31). DWI reveals microstructural and cellular changes in malignant vs. normal LNs. Goda et al (24) determined that the sensitivity, specificity and accuracy for LN detection were 77, 85 and 83%, respectively. Changing the size parameters to bigger or smaller cut-offs may affect sensitivity and specificity, as a low cut-off value would increase sensitivity but reduce specificity (24). This may explain why the sensitivity of WB-DWI-MRI varies from 60 to 90% in different trials (32,33). Schmidt et al (17) reported that WB-MRI detected 92% of LNs with diameters >12 mm. However, the detection accuracy decreased to 67% for LNs sized 6-12 mm. The findings of Sigovan et al (34)indicated that DWI had high sensitivity, specificity and accuracy (91, 83 and 85%, respectively) in distinguishing benign from malignant enlarged mediastinal LNs. The present study found that WB-MRI has 98.45% accuracy in diagnosing LN metastases. Porta-hepatis LNs had the maximum precision. The lowest precision was recorded in mediastinal LNs, where image quality may be compromised by pulsation artifacts (24). Compared with WB-MRI, PET/CT appears to have an increased sensitivity for neoplastic axillary and mediastinal LNs (18).

The most prevalent malignant bone lesion is bone metastasis. Skeletal involvement occurs in 30-70% of all patients with cancer (35). Currently, 99mTc-phosphonate-based scintigraphy is a well-established approach for screening for skeletal metastases in the body. However, in the absence of an osteoblastic response, lesions may be undetectable in the early stage of the disease. In addition, misperception of tracer uptake in healing fractures or degenerative illness may result in false-positive results. The diagnostic performance of MRI for skeletal metastases has been compared to bone scintigraphy in several studies with greater specificity and sensitivity in the early detection of skeletal metastases (36). Recent meta-analyses have indicated that WB-MRI has higher diagnostic accuracy than bone scan and CT in identifying primary and metastatic lesions in patients with prostate cancer (37,38). The sensitivity and specificity of WB-MRI in detecting bone metastases were reported to be 95%, whereas the values obtained for bone scan were only 78 and 85%, and for CT, only 77 and 83%, respectively (35,37,38). Goda et al (24) demonstrated that WB-DWI detected bone lesions with a sensitivity, specificity and accuracy of 88, 94 and 92%, respectively. According to a meta-analysis conducted by Yang et al (36), the sensitivity rates for PET/CT, CT, MRI and bone scintigraphy were 89.7, 72.9, 90.6 and 86.0%, respectively, while the specificity rates were 96.8, 94.8, 95.4 and 81.4%, respectively. This increased precision may even help in determining a more suitable prognosis for each patient. The acquisition of the whole spine sequence enhances the image accuracy, since pathological fractures may be obscured on the coronal plane. The sagittal plane is strongly suggested in oncology because spine curvatures may be responsible for partial volume effects that conceal certain coronal plane lesions. In the current study, the accuracy for bone metastasis was 100%; this high result is explained by the efficacy of DWBIS and the provision of images in three orthogonal planes.

Each imaging modality has limitations that may lead to bias in the efficacy of WB-MRI. The long scanning duration in the present study is a limitation, particularly for uncooperative and elderly patients. The only criterion for LN evaluation is the size; as the LN is a highly cellular tissue, it exhibited high signal intensity on the DWIBS sequence, regardless of the size. Further limitations of the present study are the relatively small sample size and the exclusion of pulmonary lesions >10 mm in size. The current study's main strength is that histopathology data are employed as the gold standard for included patients. To the best of our knowledge, no previous study has compared WB-MRI to histology.

In conclusion, WB-MRI in three orthogonal planes, including the DWIBS sequence, may be utilized efficiently and accurately to examine patients with malignancies for metastasis. Further studies in the area of this issue are required.

 Acknowledgements

Not applicable.

 Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

 Authors' contribution

RJR was a major contributor to the conception of the study. FHK and MNH were involved in the literature review and the writing of the manuscript. RQS and AMS contributed to the conception and the design of the study. SFA, SHA and SN analysed and interpreted the data. RQS and SHK were involved in the literature review, the design of the study, the revision of the manuscript and in the processing of the figures. KKM, SMM and SHM approved the final manuscript version to be published. SHT and SSO confirm the authenticity of all the raw data. All authors have read and approved the final manuscript.

 Ethics approval and consent to participate

The Arab Board Scientific Committee (Sulaimani branch, Iraq) and the local ethical committee of the University of Sulaimani/College of Medicine (Sulaimani, Iraq) approved this study (no. 2018-02). Written informed consent to participate in the study was obtained from the patients.

 Patient consent for publication

All patients provided written informed consent regarding the publication of their data and images.

 Competing interests

The authors declare that they have no competing interests.

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Whole-body MRI of a 69-year-old male who developed prostate cancer presented with skeletal and lung metastases. (A) Inverted black-white coronal diffusion-weighted MRI with background body signal suppression sequence displaying multiple rib, vertebral and right iliac bone lesions, and also pulmonary lesions at upper lobes bilaterally. (B) T1-weighted image displaying hypointense dorsal and lumbar skeletal lesions. (C) Axial T2-weightedimage showing abnormal focal pulmonary lesions.

Whole-body MRI sequences and parameters for oncologic patient evaluation.

Sequence T1WI T1WI T2WI T2 STIR WB-DWIBS
Plane Coronal Sagittal Axial Coronal Coronal
Involved regions Vertex to toes Whole spine Vertex to mid-thigh Vertex to toes Vertex to mid-thigh
Slices, n 34 20 152 34 230
Gap, mm 1 0.4 0.6 1 0
Thickness, mm 6 4 6 6 2
TR, msec 412 500 1,000 570 1,400
TE, msec 4 16 80 80 70
b-value, sec/mm2 - - - - 0-800
Phase encoding Right/left Feet-head Anterior-posterior Right/left Anterior-posterior
Respiratory motion Breath-hold Free-breathing Breath-hold Breath-hold Free-breathing
Total scan time (min) 15-20 3-6 9-10 5-10 20-25

T1WI, T1-weighted imaging; WB-DWIBS, whole-body diffusion-weighted MRI with background body signal suppression sequence; STIR, short tau inversion recovery; TR, repetition time; TE, echo time.

Types/locations of primary tumors in the patients (n=43).

Primary malignancy N
Melanoma 4
Sarcoma 4
Bronchogenic cancer 2
Prostate cancer 6
Breast cancer 7
Endometrial cancer 3
Ovarian cancer 2
Colorectal cancer 2
Thyroid carcinoma 3
Carcinoma of unknown primary origin 6
Neuroendocrine tumor 1
Mesothelioma 1
Testicular tumor 2
Total 43

Sensitivity, specificity and accuracy of visceral, skeletal and nodal metastases based on histological findings.

MRI finding Visceral metastasis Bone metastasis Nodal metastasis
Sensitivity, % 100 100 94.74
Specificity, % 100 100 99.09
Accuracy, % 100 100 98.45