The Accuracy of Colorectal Cancer Detection by Computed Tomography in the Unprepared Large Bowel in a Community-Based Hospital

Mangat, Suneet; Kozoriz, Michael G.; Bicknell, Simon; Spielmann, Audrey L.

doi:10.1016/j.carj.2017.12.005

Cited by 6 publications

(5 citation statements)

References 9 publications

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“…The interesting study was performed by Mangat. [30] In this study, the authors reviewed retrospectively CT scans of patients in whom the colorectal cancer was diagnosed an operated. In 59% patients colorectal cancer was visualized in previously undiagnosed group.…”

Section: Discussionmentioning

confidence: 99%

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Preoperative colonoscopy in patients with a supposed primary ovarian cancer

et al. 2019

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The final diagnosis of ovarian cancer is based on surgery and pathological verification. Therefore patients who are presented to surgery may be described only as supposed ovarian cancer. According to the literature the diagnosis of ovarian cancer is confirmed only in 2/3 of them. The rest are that which mimic ovarian cancer. One of them is colorectal cancer. Colonoscopy is a gold standard in its diagnostics. On the other hand, ovarian cancer may disturb the bowel patency and makes the bowel resection or stoma necessary. The main aim was to find out the distribution of bowel patency disturbances in ovarian cancer patients during preoperative colonoscopy and to assess their predictive value with respect to the bowel resection or stoma and the additional aim to identify the pathologies which mimic the ovarian cancer. In a prospective study among 104 patients with supposed ovarian cancer, primary ovarian cancer was diagnosed in 68 patients. The rest of them suffered from colorectal cancer found at colonoscopy (N = 6), ovarian benign pathology (N = 8), ovarian borderline tumor (N = 5), and other nonandexal malignant diseases (N = 17). In ovarian cancer group dominated serous carcinoma and fedération international de gynécologie et d’obstétrique stage 3 (N = 33). During preoperative colonoscopy in ovarian cancer patients, the complete obstruction was found in 27.9%, and relative risk of bowel resection or stoma was in them 4.29 and 4.38, respectively. Another colonoscopic finding was limited patency caused by extrinsic compression (29%) which is connected with relative risk of bowel resection or stoma 3.16 and 3.21 accordingly. The last colonoscopy finding was described as moderate limited patency of unknown origin (20.6%) and the relative risk of bowel resection or stoma was 5.14 and 4.17, respectively. Colonoscopy enables the diagnoses of colorectal cancer one of the diseases which mimic ovarian cancer in patients supposed to have this diseases. Bowel patency disturbances found at colonoscopy are a potential risk factor to intestine resection or ostomy. Colonoscopy is not fully noninvasive procedure and its obligatory use in patients supposed to have ovarian cancer should be limited to the cases with specific symptoms, and tumor marker pattern. Preoperative computed tomography, dedicated to bowel examination, candidates as an alternative to colonoscopy, but not completely.

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Section: Discussionmentioning

confidence: 99%

“…This sentence is in line with the conclusion of Mangat that the retrospective assessment of preoperative CT gives hope for the usefulness of prospective CT in the diagnosis of colorectal cancer. [30]…”

Section: Discussionmentioning

confidence: 99%

Preoperative colonoscopy in patients with a supposed primary ovarian cancer

et al. 2019

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“…[29][30][31] One study determined that the percentage of colon carcinoma was 60%, and the accuracy of detecting CRC in unprepared bowel on CT was assessed to be 80%, with sensitivities of 75%-100% and specificities of 86%-96%. 32…”

Section: (Fn) 45 (Tn) Table-v Diagnostic Accuracy Stratification In R...mentioning

confidence: 99%

Diagnostic accuracy of Perfusion Computed tomography (PCT) for diagnosis of colorectal carcinoma (CRC) taking histopathology as gold standard.

Bushra Ujala,

Amna Rehan,

Rabia Aslam

2023

TPMJ

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Objective: To determine diagnostic accuracy of Profusion Computed tomography (PCT) for diagnosis of colorectal carcinoma (CRC) taking histopathology as gold standard. Study Design: Descriptive, Cross-sectional. Setting: Department of Radiology, Allied Hospital Faisalabad. Period: 10th March 2022 to 9th September 2022. Material & Methods: A total of 451 patients with colorectal cancer suspicion and ages 50-80 years of either gender were included in the study. Patients having severe renal disease, preoperative radiation therapy or chemotherapy, no surgical intervention after CT, contrast media contraindication, pathologically benign colorectal mass, and tumor depth less than 2 cm based on CT were not included. Pre-operative perfusion CTs was performed on all patients. Dynamic perfusion CTs were performed for 65 seconds following intravenous administration of contrast media, and blood flow (BF) and blood volume (BV) in the tumor were assessed. The surgical specimens were forwarded to the hospital's pathology laboratory, where the presence of CRC was labeled according to operational definitions. CT perfusion was performed in radiology department and results of PCT were compared with that of histopathology. Results: Sensitivity, specificity, positive predictive value, negative predictive value and diagnostic accuracy of Profusion Computed tomography (PCT) in diagnosing colorectal carcinoma (CRC) with histopathology being gold standard was 90.26%, 88.59%, 91.98%, 86.24% and 89.58% respectively. Conclusion: This study concludes that Profusion Computed tomography (PCT) is a highly sensitive and accurate modality for the diagnosis of colorectal carcinoma.

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“…Abdominal computed tomography (CT) is a frequently used imaging modality for evaluating gastrointestinal diseases. The localization of colorectal cancer is often realized using contrast-enhanced CT (CCT) before a more invasive colonoscopy [ 9 ]. CCT also plays an essential role in evaluating the local tumor spread and distant metastatic status, which then dictates the appropriate treatment.…”

Section: Introductionmentioning

confidence: 99%

“…However, if radiologists follow specific rules to observe the colon and rectum, early diagnosis sensitivity can be improved. This is illustrated by the work in [ 9 ], where the sensitivity in reviewing CRC increased from 66% to 86% when radiologists followed a diligent search pattern to identify CRCs in the large intestine. Different techniques for observing patterns include the thickening of the bowel wall and segments containing minimal oral contrast.…”

Section: Introductionmentioning

confidence: 99%

Localization of Colorectal Cancer Lesions in Contrast-Computed Tomography Images via a Deep Learning Approach

Sahoo,

Gupta,

Lai

et al. 2023

Bioengineering

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Abdominal computed tomography (CT) is a frequently used imaging modality for evaluating gastrointestinal diseases. The detection of colorectal cancer is often realized using CT before a more invasive colonoscopy. When a CT exam is performed for indications other than colorectal evaluation, the tortuous structure of the long, tubular colon makes it difficult to analyze the colon carefully and thoroughly. In addition, the sensitivity of CT in detecting colorectal cancer is greatly dependent on the size of the tumor. Missed incidental colon cancers using CT are an emerging problem for clinicians and radiologists; consequently, the automatic localization of lesions in the CT images of unprepared bowels is needed. Therefore, this study used artificial intelligence (AI) to localize colorectal cancer in CT images. We enrolled 190 colorectal cancer patients to obtain 1558 tumor slices annotated by radiologists and colorectal surgeons. The tumor sites were double-confirmed via colonoscopy or other related examinations, including physical examination or image study, and the final tumor sites were obtained from the operation records if available. The localization and training models used were RetinaNet, YOLOv3, and YOLOv8. We achieved an F1 score of 0.97 (±0.002), a mAP of 0.984 when performing slice-wise testing, 0.83 (±0.29) sensitivity, 0.97 (±0.01) specificity, and 0.96 (±0.01) accuracy when performing patient-wise testing using our derived model YOLOv8 with hyperparameter tuning.

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The Accuracy of Colorectal Cancer Detection by Computed Tomography in the Unprepared Large Bowel in a Community-Based Hospital

Abstract: Community general radiologists can successfully detect CRC with a high degree of accuracy. Reformatted images, bowel wall thickening when regional nodes are prominent, and minimizing oral contrast were helpful in improving detection.

Cited by 6 publications

References 9 publications

Preoperative colonoscopy in patients with a supposed primary ovarian cancer

Preoperative colonoscopy in patients with a supposed primary ovarian cancer

Diagnostic accuracy of Perfusion Computed tomography (PCT) for diagnosis of colorectal carcinoma (CRC) taking histopathology as gold standard.

Localization of Colorectal Cancer Lesions in Contrast-Computed Tomography Images via a Deep Learning Approach

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