Effects of amide proton transfer imaging in diagnosis, grading and prognosis prediction of cervical cancer: A systematic review and meta-analysis
- Chongshuang Yang 1,2, Hasyma Abu Hassan 1, Nur Farhayu Omar 1, Tze Hui Soo 1, Ahmad Shuib Bin Yahaya 3, Tianliang Shi 2, Yinbin Luo 2, Min Wu 2
- 1Department of Radiology, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, 43400, UPM Serdang, Selangor, Malaysia.
- 2Department of Radiology, Tongren People's Hospital, Tongren, Guizhou Province, 554300, China.
- 3Department of Obstetrics and Gynecology, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, 43400, UPM Serdang, Selangor, Malaysia.
- 0Department of Radiology, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, 43400, UPM Serdang, Selangor, Malaysia.
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View abstract on PubMed
Summary
This summary is machine-generated.Amide Proton Transfer (APT) imaging effectively predicts cervical cancer characteristics. This technique shows high accuracy in differentiating cancer types, grading tumors, and detecting lymph node metastasis, supporting its clinical use.
Area Of Science
- Radiology
- Oncology
- Medical Imaging
Background
- Cervical cancer diagnosis relies heavily on histopathology.
- Accurate prediction of histopathological features is crucial for effective treatment planning.
- Novel imaging techniques are needed to improve diagnostic accuracy and patient outcomes.
Purpose Of The Study
- To evaluate the diagnostic performance of Amide Proton Transfer (APT) imaging.
- To assess APT imaging's ability to predict histopathological characteristics of cervical cancer.
- To determine the utility of APT imaging in differentiating cervical cancer subtypes and detecting lymph node involvement.
Main Methods
- A systematic literature search was performed on multiple databases up to December 27, 2023.
- A meta-analysis of thirteen studies involving 868 patients was conducted using Stata 15 and Review Manager 5.4.
- Key performance metrics including sensitivity, specificity, and diagnostic odds ratio (DOR) were analyzed.
Main Results
- APT imaging achieved a pooled sensitivity of 0.82 and specificity of 0.65 for differentiating adenocarcinoma from squamous carcinoma.
- For grading squamous carcinoma, sensitivity was 0.74 and specificity was 0.83.
- The technique demonstrated a sensitivity of 0.87 and specificity of 0.66 for detecting lymph node involvement.
Conclusions
- Amide Proton Transfer (APT) imaging exhibits high sensitivity and specificity in predicting cervical cancer's pathological features.
- APT imaging is a reliable tool for distinguishing cervical cancer types, grading tumors, and identifying lymph node metastasis.
- The findings support the integration of APT imaging into clinical practice for improved cervical cancer management.
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