scholarly journals [18F]FDG-PET/CT Radiomics for Prediction of Bone Marrow Involvement in Mantle Cell Lymphoma: A Retrospective Study in 97 Patients

Cancers ◽  
2020 ◽  
Vol 12 (5) ◽  
pp. 1138 ◽  
Author(s):  
Marius E. Mayerhoefer ◽  
Christopher C. Riedl ◽  
Anita Kumar ◽  
Ahmet Dogan ◽  
Peter Gibbs ◽  
...  

Biopsy is the standard for assessment of bone marrow involvement in mantle cell lymphoma (MCL). We investigated whether [18F]FDG-PET radiomic texture features can improve prediction of bone marrow involvement in MCL, compared to standardized uptake values (SUV), and whether combination with laboratory data improves results. Ninety-seven MCL patients were retrospectively included. SUVmax, SUVmean, SUVpeak and 16 co-occurrence matrix texture features were extracted from pelvic bones on [18F]FDG-PET/CT. A multi-layer perceptron neural network was used to compare three combinations for prediction of bone marrow involvement—the SUVs, a radiomic signature based on SUVs and texture features, and the radiomic signature combined with laboratory parameters. This step was repeated using two cut-off values for relative bone marrow involvement: REL > 5% (>5% of red/cellular bone marrow); and REL > 10%. Biopsy demonstrated bone marrow involvement in 67/97 patients (69.1%). SUVs, the radiomic signature, and the radiomic signature with laboratory data showed AUCs of up to 0.66, 0.73, and 0.81 for involved vs. uninvolved bone marrow; 0.68, 0.84, and 0.84 for REL ≤ 5% vs. REL > 5%; and 0.69, 0.85, and 0.87 for REL ≤ 10% vs. REL > 10%. In conclusion, [18F]FDG-PET texture features improve SUV-based prediction of bone marrow involvement in MCL. The results may be further improved by combination with laboratory parameters.

2019 ◽  
Vol 44 (5) ◽  
pp. e336-e341 ◽  
Author(s):  
Yoshiaki Abe ◽  
Akihiro Kitadate ◽  
Yoshiaki Usui ◽  
Kentaro Narita ◽  
Hiroki Kobayashi ◽  
...  

2014 ◽  
Vol 94 (6) ◽  
pp. 963-967 ◽  
Author(s):  
Zhiyuan Zhou ◽  
Changying Chen ◽  
Xiang Li ◽  
Zhaoming Li ◽  
Xudong Zhang ◽  
...  

Author(s):  
A. Martínez-Esteve ◽  
F.J. García-Gómez ◽  
J.J. Borrero-Martin ◽  
E. Fajardo-Pico ◽  
I. Borrego-Dorado

2020 ◽  
Author(s):  
Tetiana Skrypets ◽  
Luca Nassi ◽  
Gloria Margiotta Casaluci ◽  
Benedetta Puccini ◽  
Lara Mannelli ◽  
...  

Abstract Background. Mantle-cell lymphoma (MCL) represents the 5-7% of all lymphoid malignancies. In 15-30% of cases by different data, MCL may affect the gastrointestinal tract (GI), but the real frequency by endoscopy and imaging could be significantly higher. Actually, by guidelines there are no recommendations for GI endoscopy in every patient with MCL. Therefore, we conducted the present multi-center study with the aim to evaluate the performance of the 18F-FDG PET/CT in the detection of GI involvement in patients with MCL and establish whether it is possible to omit endoscopy.Methods. We retrospectively evaluated 79 patients with newly diagnosed MCL, who had performed a pretreatment 18F-FDG PET/CT scan and GI endoscopy with biopsy. Results. By PET/CT, overall GI tract involvement was found in 24% of patients. The performance of PET/CT have been evaluated by sensitivity, specificity, positive predictive value, negative predictive value and accuracy in the upper and lower GI tract. Using Cohen's k test, PET/CT and EGD with biopsy showed a fair agreement (0.20, 66.6%). However, PET/CT and colorectal biopsy showed a moderate agreement (0.49, 76%). Conclusion. Analyzed data suggest that the performance of 18F-FDG PET/CT is not excellent in the detection of gastric lesions by MCL, and thus EGD with biopsy has yet to be considered a "golden standard" in this subset, while colonoscopy could be omitted due to a higher accuracy and specificity. Taking into account the limit of the retrospective nature of the study, data should be confirmed on larger and prospective cohort.


2014 ◽  
Vol 39 (10) ◽  
pp. 931-933
Author(s):  
Ignacio Banzo ◽  
Isabel Martínez-Rodríguez ◽  
Remedios Quirce ◽  
Julio Jiménez-Bonilla ◽  
José Manuel Carril

2019 ◽  
Vol 41 (6) ◽  
pp. 438-441 ◽  
Author(s):  
Begül Yağci-Küpeli ◽  
Emel Koçyiğit-Deveci ◽  
Fulya Adamhasan ◽  
Serhan Küpeli

2019 ◽  
Vol 19 (8) ◽  
pp. e457-e464 ◽  
Author(s):  
Domenico Albano ◽  
Paola Ferro ◽  
Giovanni Bosio ◽  
Federico Fallanca ◽  
Alessandro Re ◽  
...  

Theranostics ◽  
2019 ◽  
Vol 9 (16) ◽  
pp. 4730-4739 ◽  
Author(s):  
Hebei Li ◽  
Chongrui Xu ◽  
Bowen Xin ◽  
Chaojie Zheng ◽  
Yunyun Zhao ◽  
...  

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