scholarly journals Interobserver reliability of computed tomography-derived primary tumor volume measurement in patients with supraglottic carcinoma

Cancer ◽  
2005 ◽  
Vol 103 (12) ◽  
pp. 2616-2622 ◽  
Author(s):  
Suresh K. Mukherji ◽  
Alicia Y. Toledano ◽  
Clifford Beldon ◽  
Ilona M. Schmalfuss ◽  
Jay S. Cooper ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Primary Tumor ◽  
Tumor Volume ◽  
Interobserver Reliability ◽  
Volume Measurement ◽  
Primary Tumor Volume ◽  
Supraglottic Carcinoma ◽  
Tumor Volume Measurement

scholarly journals Tumor volume measurement error using computed tomography imaging in a phase II clinical trial in lung cancer

2016 ◽  
Vol 3 (3) ◽  
pp. 035505 ◽  
Author(s):  
Claudia I. Henschke ◽  
David F. Yankelevitz ◽  
Rowena Yip ◽  
Venice Archer ◽  
Gudrun Zahlmann ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Lung Cancer ◽  
Clinical Trial ◽  
Measurement Error ◽  
Phase Ii ◽  
Tumor Volume ◽  
Volume Measurement ◽  
Computed Tomography Imaging ◽  
Tomography Imaging ◽  
Tumor Volume Measurement

scholarly journals Semi-Automatic Volumetric and Standard Three-Dimensional Measurements for Primary Tumor Evaluation and Response to Treatment Assessment in Pediatric Rhabdomyosarcoma

2021 ◽  
Vol 11 (8) ◽  
pp. 717
Author(s):  
Ewelina Gowin ◽  
Katarzyna Jończyk-Potoczna ◽  
Patrycja Sosnowska-Sienkiewicz ◽  
Anna Belen Larque ◽  
Paweł Kurzawa ◽  
...  
Keyword(s):  
Primary Tumor ◽  
Tumor Volume ◽  
Three Dimensional ◽  
Volume Measurement ◽  
Response To Treatment ◽  
Chemotherapy Response ◽  
Imaging Data ◽  
Dimensional Measurements ◽  
Volume Measurements ◽  
Tumor Volume Measurement

Current prognostic classification of rhabdomyosarcoma in children requires precise measurements of the tumor. The purpose of the study was to compare the standard three-dimensional (3D) measurements with semi-automatic tumor volume measurement method concerning assessment of the primary tumor size and the degree of response to treatment for rhabdomyosarcoma in children. Magnetic Resonance Imaging data on 31 children with treated rhabdomyosarcoma based on the Cooperative Weichteilsarkom Studiengruppe (CWS) guidance was evaluated. Tumor sizes were measured by two methods: 3D standard measurements and semi-automatic tumor volume measurement (VOI) at diagnosis, and after 9 and 17/18 weeks of the induction chemotherapy. Response to treatment and prediction values were assessed. The tumor volume medians calculated using VOI were significantly higher in comparison with those calculated using the 3D method both during the diagnosis as well as after 9 weeks of the chemotherapy and during the 17–18th week of the treatment. The volume measurements based on the generalized estimating equations on the VOI method were significantly better than the 3D method (p = 0.037). The volumetric measurements alone can hardly be considered an unequivocal marker used to make decisions on modification of the therapy in patients with rhabdomyosarcoma.

scholarly journals Relationship between the Computed Tomography - Measured Initial Primary Tumor Volume, Urine VMA Level and Stage in Neuroblastoma Patients

2018 ◽  
Vol 15 (3) ◽  
Author(s):  
Chih - Chen Chang ◽  
Shih - Hsiang Chen ◽  
Tsung - Yen Chang ◽  
Chao - Jan Wang ◽  
Wendy Yang ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Primary Tumor ◽  
Tumor Volume ◽  
Primary Tumor Volume

scholarly journals Automatic segmentation of head and neck primary tumors on MRI using a multi-view CNN

2022 ◽  
Vol 22 (1) ◽  
Author(s):  
Jens P.E. Schouten ◽  
Samantha Noteboom ◽  
Roland M. Martens ◽  
Steven W. Mes ◽  
C. René Leemans ◽  
...  
Keyword(s):  
Head And Neck ◽  
Treatment Planning ◽  
Primary Tumor ◽  
Tumor Volume ◽  
Automatic Segmentation ◽  
Neck Region ◽  
Primary Tumors ◽  
Head And Neck Region ◽  
Primary Tumor Volume ◽  
Mri Sequences

Abstract Background  Accurate segmentation of head and neck squamous cell cancer (HNSCC) is important for radiotherapy treatment planning. Manual segmentation of these tumors is time-consuming and vulnerable to inconsistencies between experts, especially in the complex head and neck region. The aim of this study is to introduce and evaluate an automatic segmentation pipeline for HNSCC using a multi-view CNN (MV-CNN). Methods The dataset included 220 patients with primary HNSCC and availability of T1-weighted, STIR and optionally contrast-enhanced T1-weighted MR images together with a manual reference segmentation of the primary tumor by an expert. A T1-weighted standard space of the head and neck region was created to register all MRI sequences to. An MV-CNN was trained with these three MRI sequences and evaluated in terms of volumetric and spatial performance in a cross-validation by measuring intra-class correlation (ICC) and dice similarity score (DSC), respectively. Results The average manual segmented primary tumor volume was 11.8±6.70 cm3 with a median [IQR] of 13.9 [3.22-15.9] cm3. The tumor volume measured by MV-CNN was 22.8±21.1 cm3 with a median [IQR] of 16.0 [8.24-31.1] cm3. Compared to the manual segmentations, the MV-CNN scored an average ICC of 0.64±0.06 and a DSC of 0.49±0.19. Improved segmentation performance was observed with increasing primary tumor volume: the smallest tumor volume group (<3 cm3) scored a DSC of 0.26±0.16 and the largest group (>15 cm3) a DSC of 0.63±0.11 (p<0.001). The automated segmentation tended to overestimate compared to the manual reference, both around the actual primary tumor and in false positively classified healthy structures and pathologically enlarged lymph nodes. Conclusion An automatic segmentation pipeline was evaluated for primary HNSCC on MRI. The MV-CNN produced reasonable segmentation results, especially on large tumors, but overestimation decreased overall performance. In further research, the focus should be on decreasing false positives and make it valuable in treatment planning.

scholarly journals An evaluation of the role of tumor load in cytoreductive nephrectomy

2020 ◽  
Vol 14 (12) ◽  
Author(s):  
Andrew W. Silagy ◽  
Cihan Duzgol ◽  
Julian Marcon ◽  
Renzo G. DiNatale ◽  
Roy Mano ◽  
...  
Keyword(s):  
Primary Tumor ◽  
Tumor Volume ◽  
Cox Regression ◽  
Three Dimensional ◽  
Volumetric Analysis ◽  
Cytoreductive Nephrectomy ◽  
Primary Tumors ◽  
Cox Regression Analysis ◽  
Entire Cohort ◽  
Primary Tumor Volume

Introduction: New radiological tools can accurately provide preoperative three-dimensional spatial assessment of metastatic renal cell carcinoma (RCC) We aimed to determine whether the distribution, volume, shape, and fraction of RCC resected in a cytoreductive nephrectomy associates with survival. Methods: We retrospectively reviewed 560 patients undergoing cytoreductive nephrectomy performing a comprehensive volumetric analysis in eligible patients of all detectable primary and metastatic RCC prior to surgery. We used Cox regression analysis to determine the association between the volume, shape, fraction resected, and distribution of RCC and overall survival (OS). Results: There were 62 patients eligible for volumetric analysis, with similar baseline characteristics to the entire cohort, and median survivor followup was 34 months. Larger primary tumors were less spherical, but not associated with different metastatic patterns. Increased primary tumor volume and tumor size, but not the fraction of tumor resected, were associated with inferior survival. The rank of tumors based on unidimensional size did not completely correspond to the rank by primary tumor volume, however, both measurements yielded similar concordance for predicted OS. Larger tumor volume was not associated with a longer postoperative time off treatment. Conclusions: Primary tumor volume was significant for predicting OS, while the fraction of disease resected did not appear to impact upon patient outcomes. Although rich in detail, our study is potentially limited by selection bias. Future temporal studies may help elucidate whether the primary tumor shape is associated with tumor growth kinetics.

Haptoglobin Genotypes in Nasopharyngeal Carcinoma

2009 ◽  
Vol 24 (1) ◽  
pp. 32-37 ◽  
Author(s):  
Ching-Chih Lee ◽  
Hon-Yi Lin ◽  
Shih-Kai Hung ◽  
Dian-Kun Li ◽  
Hsu-Chueh Ho ◽  
...  
Keyword(s):  
Polymerase Chain Reaction ◽  
Prognostic Factor ◽  
Nasopharyngeal Carcinoma ◽  
Primary Tumor ◽  
Tumor Volume ◽  
Prognostic Significance ◽  
Chain Reaction ◽  
Primary Tumor Volume ◽  
Negative Prognostic Factor ◽  
Polymerase Chain

Aim Haptoglobin polymorphisms are associated with different cancers; however, the occurrence of nasopharyngeal carcinoma (NPC) in relation to haptoglobin polymorphisms has not been reported. In this study, the distribution of haptoglobin genotypes among patients with NPC was investigated and the prognostic significance of haptoglobin genotypes was further analyzed. Material and methods Haptoglobin genotypes were analyzed using polymerase chain reaction and electrophoresis. The genotypes were determined in the sera of 49 NPC patients and in 134 controls. Results The haptoglobin genotypes of patients with NPC were as follows: Hp 1–1, 2%; Hp 2–1, 39%; Hp 2–2, 59%. The frequency of the Hp 2–2 genotype was much higher in NPC patients than in control individuals (p=0.044). Furthermore, NPC patients with the Hp 2–2 genotype had advanced T stages (p=0.001) and larger primary tumor volumes (p=0.035) than those with Hp 2–1 or 1–1. Conclusion An increased frequency of the Hp 2–2 genotype was associated with NPC. The Hp 2 allele was also overexpressed in NPC patients. NPC patients with the Hp 2–2 genotype had advanced T stage and a larger primary tumor volume. Hp 2–2 may be a negative prognostic factor in NPC.

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